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TitleStudies on the Effects of a Bacterial Probiotic on RuminalComponents and Cellular Immune Function in Holstein Calves(本文(Fulltext) )
Author(s) Abdul Qadir Qadis
Report No.(DoctoralDegree) 博士(獣医学) 甲第430号
Issue Date 2014-09-24
Type 博士論文
Version ETD
URL http://hdl.handle.net/20.500.12099/50400
※この資料の著作権は、各資料の著者・学協会・出版社等に帰属します。
Studies on the Effects of a Bacterial Probiotic on Ruminal
Components and Cellular Immune Function in Holstein Calves
(ホルスタイン種子牛の第一胃性状と細胞性免疫機能に対する生菌製剤の影響に関する研究)
2014
The United Graduated School of Veterinary Science, Gifu University
(Iwate University)
Abdul Qadir Qadis
i
Table of Contents
Contents ………..…………………………….………………….…..………..…….i
Abbreviation …..............................................................................................iv
General Introduction
Characterization of Probiotics …...................................................................1
History of Probiotics …..………………………….…………………………...3
Safety Aspects of Probiotics …………………………..…...........……..…….5
Probiotic Use in Ruminants…….......……………………………………….…...7
Characterization of Ruminants …………………..……..…...…….……….7
Effects of Probiotic on Ruminal Performance and Bacteria……………. 9
Probiotics and Host Immune System………………………………..…….…..10
Immune Stimulatory Mechanism of Bacterial Probiotics.....................11
Probiotics and Calf Sscouring Therapeutic ………………………………13
Figures and Tables ………………………..………………………..……………16
Objectives ……………………………..……………………...................……….21
Chapter I. Study on the Effects of a Bacterial Probiotic on Ruminal
pH, Volatile Fatty Acids and Bacterial Flora of Holstein Calves
Introduction…………………………………………………………..………...…22
Materials and Methods ………………………………………………..….….…24
Animals and Treatment ………..……………………………….……..……24
Ruminal pH Measurement …………………………………….…….……..25
Ruminal Fluid Sampling and VFA, Lactic Acid and NH3-N Assays ...26
Ruminal Bacteria Assay ………………….……..…………………….........27
ii
Statistical Analysis ………………………………….……………………....28
Results ………………………………………………………………..…………...29
Ruminal pH ………..………………...……………………………...……......29
Ruminal VFA, Lactic Acid and NH3-N …………….....………...……......30
Ruminal Bacteria …………………………..……………………..…………31
Discussion………………………………………….………………...………….…31
Figures and Tables …………………….…………………………………………37
Chapter II. Study on the Effects of a Bacterial Probiotic on
Subpopulations of Peripheral Leukocytes and Their Cytokine mRNA
Expression in Weaned Holstein calves
Introduction……………………………………………………………................47
Materials and Methods …………………………………...………………….....49
Animals and Treatment ………………..…………….……………………..49
Blood Collection and PBMC Isolation …..…………….…………………..50
Flow cytometry Assay …………………………….…….……………….…..51
Total RNA Extraction from Leukocytes and cDNA Synthesis …….…..51
Real-time PCR Assay ………………………………………..……...…….…52
Statistical Analysis …………………………………….…………..………..52
Results ……………………………………………………………..……………...53
Subpopulations of Peripheral Leukocytes and Blood Biochemistry ….53
Messenger RNA Expression of Cytokines ……………………………......54
Discussion……………………………………………..………………………......54
Figures and Tables ……………………..…….………………………………….60
iii
Chapter III. Study on the Effects of a Bacterial Probiotic on
Subpopulations of Peripheral Leukocytes and Their Cytokine mRNA
Expression Levels in Scouring Holstein Calves
Introduction…………………..……………………………………………….…..67
Materials and Methods……………………………..………….………………..69
Animals and Treatment ………………………..……………….…………..69
Blood Collection and PBMC Isolation …………….……………….…..….70
Flow cytometry Assay ………………………………….………..…...……..71
Total RNA Extraction from Leukocytes and cDNA Synthesis ……..…71
Real-time PCR Assay ………………………...…………………...…………72
Stool Assay………………………………...………………………..………....72
Statistical Analysis ………….……………………………….………...……73
Results………………………………..……………………………….…..……….74
Subpopulations of Peripheral Leukocytes and Blood Biochemistry …74
Messenger RNA Expression of Cytokines ………………..……...……….76
Discussion……………………………………………………………...….……….76
Figures and Tables ………………………………………………….……………82
Summary and Conclusions ………………………..…………………..…….....90
References ………………………………….………………………...…………...97
Acknowledgments …………………………..………………………….....……118
iv
Abbreviations
ALB…………………………………………………………………. albumin blood
APC……………………………………………….……… antigen presenting cell
BUN……………………………………………………………blood urea nitrogen
BW…......……………………………..………………………………...body weight
CFU.....……………………………….………...….….……. colony forming units
CD…………………………………………..….........………cluster of designation
CP………………………………………………….…………………. crude protein
DC ………………………………….……………………………….....dendritic cell
DM ……………………………….…..…………………………………. dry matter
DNA …………………………..……………….…………... deoxyribonucleic acid
DFM… ………………………………….…………………..direct-feed microbials
EDTA ….…………………………....…………ethylenediaminetetraacetic acid
FACS ……………….………………….…… fluorescence activated cell sorter
FITC ….................................................................. fluorescein isothiocyanate
GALT ….……………………………………….. gut-associated lymphoid tissue
GIT……….……………………………………..…. ……….gastrointestinal tract
Glu………….………………………………………………………………... glucose
IECs………….…………………………………….….... intestinal epithelial cells
IL………….………………………………………….…..……………… interleukin
INF-γ…….…………………………………………….…………interferon-gamma
LA…….…………………………………………………………..………. lactic acid
LAB…….…………………………………………….………... lactic acid bacteria
v
LBP…….…………………………….…….. lipopolysaccharide-binding protein
LPS………………….……………………….………………... lipopolysaccharide
MAMPs...…………………….. microorganism-associated molecular patterns
mRNA…………………….…………………………..messenger ribonucleic acid
NEFA..………………………………….……………… non-esterified fatty acids
NH3-N………………………………….……………………….ammonia-nitrogen
NDF……….……………………………………………….neutral detergent fiber
NFC……….……………………………...……………… non- fiber carbohydrate
PCR….……………………………………..………….polymerase chain reaction
PBMC…………………………………..……peripheral blood mononuclear cell
PBS ……………….…………………..……………….phosphate-buffered saline
PE (or RPE)………………………………………………………R-phycoerythrin
sTP…..……………………………………………...………… serum total protein
T-chol……………………………………….………………………total cholesterol
TCR………………………….………………...…...……………….. T-cell receptor
TNF-α ……………….……………………………....tumor necrosis factor-alpha
TLR…………..………………….…………………………………toll like receptor
T-RFLP…………….…..terminal-restriction-fragment length polymorphism
VFA……………………………………………………………....volatile fatty acid
WBC……………………….………………………………………..white blood cell
WC1…………………….……………………………………... workshop cluster 1
1
General Introduction
Characterization of Probiotics
Probiotics are live microbial components of bacteria or yeast that have
beneficial effects on human and animal health [1, 15, 28, 44, 55, 142]. The term
“probiotic” comes from the Greek words "pro" meaning "in favor", and "biotic"
meaning "life" [16]. The most common formulation of probiotics is as fresh
fermentation products or dried bacterial supplements [60], although the definition
of probiotics is constantly evolving. The World Health Organization (WHO) has
defined probiotics as "live microorganisms which, when administered in adequate
amounts, confer a health benefit on the host" [30]. Furthermore, the WHO has
restricted the use of the term probiotics to refer to products that consist of one or a
few well-defined microorganism strains [30]. In feed regulation, probiotics are
included in the group of feed additives for stabilization of the microbial
communities of the gastrointestinal tract (GIT) in monogastric and ruminant
animals. Probiotics are also known as digestive bioregulators or direct-fed
microbials (DFM) when they are directly ingested by chickens and ruminants [44,
91]. Bacterial probiotics (BPs) are the most frequently used type of probiotic by
humans and food animals. The most commonly used BP type is a carbohydrate-
utilizing taxon, including lactic acid-producing bacteria (LAB), especially of the
genera Lactobacillus and Bifidobacterium [28, 55, 71, 101, 115]. However, other
bacterial genera, including Enterococcus, Clostridia, and Escherichia, are also
used in BP products for animals [15, 39, 92]. The most commonly used genera of
BPs are shown in Table 1. Saccharomyces boulardii and S. cerevisiae are the most
2
commonly used yeast probiotic strains for food animals [5, 28, 96]. Protexin, SCD-
Probiotic®, Provita, and Miyarisan Ltd. are the most popular companies that
perform research and supply probiotic products for animal use globally. The best-
known examples of BP supplements in the market are supplied as single- or
multi-strain products. The product BOVACTIN®, consisting of three species of
Gram-positive bacteria (Lactobacillus plantarum strain 220, Enterococcus faecium
strain 26, and Clostridium butyricum strain Miyari), is a good example of a multi-
strain BP product that is commonly used in food animals, and is the most
recognized BP in Japan.
The beneficial effects of most BPs are derived from their origin in the normal
GIT microbiota of animals. However, oral administration of a high number of such
microbial elements has been shown to reinforce the various lines of intestinal
defense, immune exclusion, immune elimination, and immune regulation in
human and animal hosts. Recently, some probiotics have been supplemented with
prebiotics, which together are known as synbiotics [81]. The characteristics of the
GIT normal microbiota, probiotics, prebiotics, and synbiotics are provided in Table
2. The dosage of probiotics used for food animals differs among the various
microbial products; however, in farm animals a universal unit of DFM is defined
as weight units per tonne of compound feed [30]. The content of the BP
microorganisms is given in colony forming units (CFU) per gram (CFU/g) [102,
118]. In summary, the term probiotic refers to those oral microbial supplements
that promote the health and stimulate the growth of their hosts.
3
History of Probiotics
The history of probiotics is longer than that of the use of antibiotics. Since
prebiblical times BPs have been used by humans primarily in the form of
fermented milk products [14, 101, 133]. The first recorded observation of the
beneficial effects of BPs was by a Russian scientist, Elie Metchnikoff, who worked
at the Pasteur Institute [30, 101]. At the beginning of the 20th century,
Metchnikoff suggested that it would be possible to modify the GIT microbiota, and
to replace harmful microbes with useful microbes [83]. The earliest scientific
report on BPs dates back to 1907, when Metchnikoff reported a correlation
between the ingestion of LAB in yoghurt and enhanced longevity of the consumers
[133]. Metchnikoff hypothesized that BPs might be responsible for countering the
toxic effects of some proteolytic bacteria, such as Clostridia, and suggested the
interaction between BPs and the host’s normal GIT microbiota [83]. For example,
he noted that milk fermented with LAB inhibited the growth of proteolytic
bacteria because of the low pH produced by the fermentation of lactose.
Metchnikoff proposed that the consumption of fermented milk would improve the
function of the host’s intestines due to the effects of harmless LAB [83]. Japanese
scientist Minoru Shirota was inspired to begin investigating a causal relationship
between BPs and good intestinal health, which eventually led to the worldwide
marketing of Kefir (yoghurt package) and other fermented milk drinks as the first
commercial fresh probiotic products [21].
Scientific research on BPs has increased over the last several decades. In the
1920's Cheplin suggested that the term "probiotic" originally referred to
4
microorganisms that have effects on other microorganisms [14]. In the 1930s,
Rettger reported that the concept of probiotics involved the notion that substances
secreted by one microorganism stimulated the growth of another microorganism
[101]. The term probiotics was taken up by Fuller in 1974, who defined the
concept as “organisms and substances that have a beneficial effect on the host
animal by contributing to its intestinal microbial balance”. This definition was
greatly improved by Fuller in 1989 [36], and his explanation was very close to the
definition used today [30]. In 1989, Fuller described probiotics as a "live microbial
feed supplement which beneficially affects the host animal by improving its
intestinal microbial balance". He stressed two important aspects of probiotics: the
viable nature of probiotics, and the capacity to enhance the balance of the GIT
microbiota [36].
By the 1980s, researchers from around the world were coordinating their
efforts in an attempt to elucidate the mechanisms of LAB probiotics as feed
supplements in human, cattle, and other animals. However, the use of LAB as
feed supplements extends back to times when humans consumed fermented milk.
Metchnikoff performed the earliest scientific report on LAB when he isolated a
Lactobacillus strain that he called the 'Bulgarian bacillus' from soured milk [118].
This organism was originally known as Lactobacillus bulgaricus, but is now called
L. delbrueckii subsp. bulgaricus, which is one of the organisms used to ferment
milk and produce yoghurt [101]. After Metchnikoff, other scientists suggested the
use of L. acidophilus, and many LAB trials were conducted using it as a BP [36].
Interest in the studies of gut microbiota in the late 1940s encouraged research and
5
development. More recent research demonstrated that LABs are not the only BP a
wide range of organisms were studied and later used in BP products.
Bifidobacteria, which are a commonly used BP, were first isolated from a breast-
fed infant by Henry Tissier [21, 114]. The isolated bacterium Bacillus bifidus
communis was later reassigned to the genus Bifidobacterium [1, 114]. Tissier
found that bifidobacteria are dominant in the GIT microbiota, and he observed
clinical benefits from their use in treatment of diarrhea in infants [21]. Following
the discovery of antibiotics after World War II, the popularity of BPs decreased.
However, they were used to reestablish the intestinal microbiota following
aggressive antibiotic treatment in human and animals. Over time, the increased
interest in the use of probiotics has identified their beneficial effect on the GIT
microbiota, with the prerequisite that probiotics are to be effective and safe.
Safety Aspects of Probiotics
The administration of large numbers of microbial agents in a probiotic dose
requires the assurance of safety. Therefore, important selection criteria exist for
all probiotics that are intended for human consumption, whether ingested directly
through dietary supplements or indirectly through probiotic use in production
animals [5, 102, 139, 140]. The most important safety concern for BPs is antibiotic
resistance. One of the reasons for interest in the use of BPs is the concern of the
general public and scientific community about the widespread use of antibiotics
and the possibility of transfer of antibiotic resistance to pathogenic bacteria. For
that reason, the use of antibiotics for non-therapeutic purposes is banned in most
countries [30, 102]. It is therefore imperative to identify safe alternatives to
6
antibiotics. Probiotics have been established as an excellent alternative, especially
for use in food animals [92]. In contrast to antibiotics, probiotics are defined as
useful biological factors that are specifically safe for consumers [30]. It is
important that probiotic strains should be of animal origin because they are more
likely to become established in the intestinal tract, and thus have greater probiotic
effects [1, 12]. Although this is an important aspect, no firm guidelines exist for
probiotic safety when the microbe originates from an animal source [28]. However,
the safety assessment of BPs should include studies of the risk of microbial
infectivity and basic toxicology, including the development of deleterious
metabolites in the intestine and the degradation of the intestinal mucosa [30]. In
addition, epidemiological data and evidence of environmental safety should be
provided [30].
The probiotics used in ruminant feed, including bacteria and yeasts, are
strictly regulated within international legislative frameworks by the FAO and
WHO. The requirements for a novel probiotic product are similar among the
regulations for animal feed additives in most developed countries [30]. The risks of
genetic translocation result in specific safety requirements for microbes used in
oral probiotic therapy. LAB and bifidobacteria have rarely caused disease through
translocation, and their safety records are good [14, 139]. Their natural presence
on the mucosal surfaces of all animals also attests to their safety. The use of
inactivated bacteria as new BPs has been proposed [30, 140], partly because their
consumption appears to be safer than viable bacteria. Overall, the influence, long-
term effects, and safety of traditional and new probiotics on the resident GIT
7
microbiota of the hosts, and their metabolic activity and safety issues should be
characterized in well-defined surveillance studies, especially for BPs being used in
food animals.
Probiotic Use in Ruminants
For a clear understanding of the usefulness of probiotics in ruminants, we
should first start with the characterization of ruminant animals.
Characterization of Ruminants
Ruminant animals are characterized by four stomachs, and include cattle,
sheep, and goats. These animals depend principally on the microbial degradation
of their feed in the rumen [18, 19, 23], and the rumen microorganisms play a key
role in the food intake of these animals [107, 123]. In the rumen, three main
categories of living organism—bacteria, protozoa, and fungi—are present at
concentrations of 1011 CFU/ml, 106 CFU/ml, and 103–104 zoospores/ml rumen fluid,
respectively [7, 32, 127, 143]. The rumen is the key compartment for the
breakdown of plant and grain structures to produce energy in the form of volatile
fatty acids (VFA: acetate, propionate, butyrate) and other organic acids, such as
lactic acid (LA) [48, 124, 125]. Protein degradation into amino acids produces
quantities of ammonia (NH3) in the rumen, which is the primary source of
nitrogen for rumen microbial proteosynthesis [23, 106, 108]. In particular,
cellulolytic bacteria use ammonia as their principal source of nitrogen. These
bacteria allow ruminants, in contrast to monogastric animals, to use feed
components such as plant cell wall polymers [43]. Therefore, the rumen can be
8
considered a fermentation chamber, and it uses approximately 50–85% of the dry
matter from the food of ruminants [7, 19]. A newborn ruminant (calf) has only
developed an abomasum, because after birth the types of food ingested are liquids,
such as milk [45, 47, 69]. Usually a calf becomes a ruminant after fiber feeding
begins (age 8–12 weeks) [2, 19]. Rumen development is associated with the
distention of organs due to fiber intake and the appropriate placement of rumen
microbiota [7, 45, 146].
Rumen microbes are eventually digested in the small intestine and thereby
contribute to the protein supply of the ruminant [107]. Factors that result in
changes and a subsequent decrease in the activity of ruminal microorganisms,
such as a sudden change in feeding strategy, cause a decrease in the ruminal
microbiota and directly affects ruminal function and animal productivity. A
decrease in the rumen microbiota can be caused by antibiotic use as well as
environmental changes [127, 129, 143]. It is well understood that changes in
ruminal pH have a particular effect on the equilibrium of the ruminal microbiota
[18, 23]. High levels of grain feeding result in reduced ruminal pH values;
however, the saliva mixed with food plays an important role in the rumen
buffering system through pH control [10, 106, 108]. Due to intense microbial
activity, fermentation of feedstuffs in the reticulo-rumen produces a wide range of
organic acids. Some of these acids can accumulate and reduce ruminal pH if
rumen buffering systems are unable to counteract their impact [106]. Prolonged
periods of low ruminal pH levels can negatively affect feed intake, microbial
metabolism, and nutrient degradation, leading to ruminal acidosis, which results
9
in large financial losses and is a major concern for animal welfare reasons [32, 87,
91, 107]. Thus, ruminal pH regulation is a key determinant in the maintenance of
optimal rumen function.
Effects of Probiotics on Ruminal Performance and Bacterial Communities
Ruminants rely on a symbiosis between the host and the ruminal microbiota.
BPs composed of various microbial components are known to improve the GIT
microbiota [1, 2, 41], and repeated administration of BPs could be the optimum
solution for countering decreases in the GIT beneficial bacteria, particularly LAB
[5]. A decrease in the number of microorganisms occurs with GIT diseases in
calves; this affects animal growth significantly [143]. In the adult ruminant, a
balanced ruminal microbiota increases the production of enzymes such as
cellulase, amylase, urease, and protease, thereby increasing the use of fibrous
foods and the supply of proteins, vitamins, and short-chain organic acids for the
host animal [8, 106].
The use of a growth promoter, including antibiotics or DFM feed additives, in
ruminants has been common since 1940, because their use is correlated with
better health and an increase in food conversion in these animals [7, 30, 96]. The
use of antibiotics as feed additives in ruminants has an impact on animal health
and welfare [19, 23]. One issue with antibiotic feed supplements is the potential
for antibiotic resistance. The practice of using antibiotics in livestock feed as a
growth promoter has been associated with emergence of resistance to antibiotics
in zoonotic bacteria [30, 49]. Therefore, BP therapy is a novel approach in
probiotic research in ruminants with demonstrated health effects. Based on a
10
long-standing interest in probiotic use for ruminants, in recent years the use of
BPs in food animals has increased dramatically. General indications are that BPs
and other non-bacterial probiotics can modulate the balance and activities of the
GIT microbiota in ruminants [5, 41, 96]. It has been consistently reported that
BPs or live yeast supplementation increase the number and activity of the
dominant rumen bacterial populations [96, 107, 135]. In particular, BPs appear to
enhance the ruminal microbiota and subsequently increase the ability of ruminal
bacteria to metabolize LA and regulate ruminal pH [107, 144]. The administration
of novel additives, including specific BP strains, in the food of ruminants can
affect the structure and activities of the rumen and intestinal microbiota,
promoting health and improving animal performance [5, 17, 41]. Current
knowledge of the microbial composition and functional diversity of ruminant
digestive ecosystems suggests that consecutive supplementation with BPs will
have beneficial effects on the animals’ performance by altering the ruminal
microbiota and increasing digestion capability [16, 41]. This would reduce the
accumulation of organic acids and decrease the risk of ruminal acidosis [19, 106].
The use of viable BPs in ruminants has safety merits, in terms of controlling the
interaction with other components of the ruminal microbiota. Therefore,
considerable research during recent years has focused on the effects of novel BPs
on ruminal performance. Overall, BPs promote weight gain and animal growth,
and decrease the incidence of diarrhea in young ruminants [1, 92].
11
Probiotics and the Host Immune System
Probiotics have the capacity to stimulate various components of the immune
system in their hosts. In recent years, significant immune-stimulatory effects of
BPs have been reported in human and animals [13, 92]. There has been long-
standing interest in the immune stimulatory effects of probiotics in cattle,
particularly the usefulness of BPs on the development of calf immune systems [55,
57, 58, 92, 126]. Several reports have indicated immune-stimulatory effects of BPs
in feedlot steer and dairy cows [6, 29, 61]. The scientific underlying probiotic
health effects are evident in cattle nourishment, but the mechanisms underlying
the interaction of BPs and the immune system in cattle are not fully elucidated.
Unlike in monogastric animals, the direct effect of the administration of BPs on
the immune system is likely hampered by the size of the rumen and its biological
complexity in adult ruminants. However, oral administration of BPs might
directly affect intestinal microbiota and subsequently the immune system in
preweaning calves [58, 77, 92]. From a regulatory perspective, the mechanism of
the interaction between BPs and the host immune system is supported by
evidence from human and animal studies.
Immune Stimulation Mechanism of Probiotics
BPs, including LABs, have been shown to promote the innate immune
response mechanisms of hosts [12, 92, 120, 121]. A primary defense mechanism of
BPs involves interactions with the predominant GIT microbiota, which decrease
the pathogens access to gut barrier [55]. An increased and balanced intestinal
microbiota has evolved, which ptotects against infection and upregulates the local
12
intestinal immune response [75, 77]. Morover, increase in the GIT microbiota
density is vital for systemic immune function [92, 121]. A balancing of the
intestinal microbiota by BP treatment can protect against infection and increase
antigen transport across the gut mucosa, which aids in immune function [67]. In
ruminants, the influence of probiotics on the intestinal microbiota depends on the
possible effects of BPs on the ruminal components. Consecutive administration of
BPs affects the ruminal microbiota [1, 82, 122]. Furthermore, repeated
administration of a BP affects the antigenic functions of the GIT microbiota and
intestinal immune system [67, 121, 122]. The gut-associated lymphoid tissue is
the largest mass of lymphoid tissue, and includes Peyer’s patches and follicles
distributed within the mucosa, which might be involved in the immune-
stimulatory effects of BPs in cattle [28, 61]. However, the mechanism of the action
of BPs in cattle has not been elucidated. A commonly cited mechanism describes
the effect of BPs on the host immune response as a complex combination of several
different factors, including the interaction of intraepithelial T lymphocytes,
activated B cells, and macrophages, all of which are involved in the secretion of
pro-inflammatory cytokines and the stimulation of systemic immune responses
[67, 113, 120]. Cells in the lamina propria are also active in the gut, including B
lymphocytes, which fucntion predominantly as helpers and inducers [52, 121]. BPs
have been shown to enhance the humoral immune response, and to modulate both
the specific and nonspecific host immune system [40, 46, 57, 61]. Some BPs may
counteract the inflammatory process by enhancing the degradation of enteral
antigens, reducing the secretion of inflammatory mediators, and promoting the
13
normalization of indigenous flora and the exclusion of pathogens [55]. Moreover,
ingested BPs interact with intestinal epithelial cells (IECs) and dendritic cells
(DCs) [67]. The BPs can encounter DCs in two ways. DCs residing in the lamina
propria recognize bacterial antigens by passing their dendrites between the IECs
into the gut lumen [40, 113]. DCs can also interact directly with bacteria that have
gained access to the dome region of the gut-associated lymphoid tissue (GALT)
through specialized epithelial cells, termed microfold (M) cells [67]. The
interaction of the host cells with microorganism-associated molecular patterns
(MAMPs) on the surface macromolecules of BPs induces a specific molecular
response [13, 67, 121]. The host pattern-recognition receptors that perceive BP
signals include Toll-like receptors (TLRs) and DC-specific intercellular adhesion
molecules [39, 67, 86, 113]. Important responses of DCs against probiotics include
the production of cytokines, major histocompatibility complex molecules for
antigen presentation, and co-stimulatory molecules that polarize T cells into T-
helper or T-regulatory subsets in the mesenteric lymph nodes or subepithelial
dome of the GALT (Figure 2) [67].
Probiotics and Calf Scouring Therapeutic
Calves are prone to suffer from scouring, which inhibits productivity. As
calves with scour show growth retardation even after recovery following treatment,
subsequent prevention of this disease is considered a critical issue in clinical
veterinary medicine. The application of probiotics in veterinary medicine currently
focuses on reducing the risk of diseases associated with gut barrier dysfunction,
especially in newborn calves. Some BPs are known to demonstrate therapeutic
14
effects in scouring calves [54, 92, 122]. However, the mechanism of action of BP in
calves is not well understood. The primary effect of BPs is stimulation of non-
specific host resistance to microbial pathogens and thereby aid in their eradication
[42, 71, 83, 96]. In the past decade, studies of the therapeutic effects of BPs on calf
scouring indicated that the various bacterial strains demonstrated beneficial
effects on the incidence of scouring, feces consistency, and development of the GIT
microbial ratio in calves (Table 3) [122]. Modification of the types of intestinal
microbiota by BP ingestion might be the most important effect for the treatment of
gastrointestinal disorders in newborn calves, as several pathogens either alone, or
most often in combination with other pathogens, are etiologic agents of calf
scouring [54, 66]. Therefore, the most common suggestion for the mechanism
underlying the therapeutic effects of BPs is maintenance of intestinal health by
reducing the levels of harmful intestinal elements in young calves [54, 58, 92].
An important characteristic of effective BPs is their ability to prevent the
adherence, establishment, and/or replication of pathogens in the GIT [46, 55, 67].
Healthy adult ruminants have a balanced intestinal microbiota that facilitates
their growth. However, the GIT microbiota in young calves is not well developed;
thus a microbiotal imbalance might increase the risk of calf scouring, especially
when calves are under stress due to intensive rearing conditions. Therefore, the
oral administration of a BP in preweaning calves might either prevent the
pathogen from colonizing the digestive tract [36] or significantly reduce the
prevalence of scouring in young calves [1, 55, 92].
15
The use of BPs in young animals requires new criteria for strains appropriate
to specific indications. Prerequisites for the action of BPs include survival
mechanisms such as adhesion to the intestinal barrier, competitive exclusion of
pathogens or harmful antigens, and a direct or indirect immune stimulatory effect
(Figure 1) [55]. These processes may depend primarily on the specific
characteristics of individual strains, and secondlarily on the age and the
immunological state of the host animal. BPs may also arise from the use of
genetically modified bacteria demonstrating improved local intestinal immunity
[1, 12]. These include BPs engineered to produce anti-inflammatory cytokines [92,
142]. Research interest is currently directed towards the improvement of defined
physiological functions beyond the nutritional impact of BPs on the treatment or
prevention of the risk of disease in calves. Future BPs will have more thoroughly
defined mechanisms of their control of specific physiological processes in the
evolution of disease in calves or in the dietary management of specific diseases in
adult animals. In summary, BPs can be defined as products containing specific
microbes with scientifically proven clinical efficacy in terms of the development of
the GIT microbiota and a reduction in the incidence of calf scouring. Studies of the
use of BPs to treat acute infectious scouring have reported encouraging results [92,
122], but further research is necessary to confirm the reported efficacy of BP
strains for calf scouring therapy.
16
Table 1. Bacterial species most commonly applied in probiotic products [51]
Lactobacillus species
L. acidophilus, L. casei, L. crispatus, L. gallinarum, L. gasseri, L. johnsonii, L. paracasei, L. plantarum, L. reuteri, L. rhamnosus
Bifidobacterium species
B. adolescetis, B. animalis, B. bifidum, B. breve, B. infantis, B. lactis, B. longum
Other lactic acid
bacteria (LAB) species
Enterococcus faecalis, E. faecium, Lactococcus lactis, Leuconostoc mesenteroides, Pediococcus acidilactici, Sporolactotobacillus inulinus, Streptococcus thermophilus
Non-lactics species
Bacillus cereus, Escherichia coli, Propionibacterium freudenreichii
17
Table 2. Definitions of gastrointistinal tract (GIT) microbiota, probiotic, prebiotic
and synbiotics
GIT
microbiota
Total complex of microorganisms which normally inhabit in the
GIT, fulfilling a role in host nutrition, physiology, and control of
the immune system [117]
Probiotic
“Live micro-organisms which, when administered in adequate
amounts, confer a health benefit on the host” [30]
Prebiotic
A food or dietary non-digestible supplement product that confers
a health benefit on the host associated with modulating the
microbiota, in which beneficially affects the host by stimulating
the growth and/or activity of GIT microbiota [42, 81]
Synbiotic
A mixture of probiotic and prebiotic which beneficially affects
the host by improving the survival and implantation of live
microbial dietary supplements in the GIT, and therefore
improving host health and well being [81]
18
Figure 1. Bacterial probiotics action during gastrointestinal tract (GIT)
disorders [55].
19
Figure 2. Crosstalk between bacterial probiotics and the host immune system [67].
1
Table 3. Controlled trials to study the effect of bacterial probiotic in preweaning calves [122]
Year
No.
Breed
Bacterial Probiotic Strains
Treatment
(days)
Feed
Outcome
1980 10 Holstein &
Ayrshire
Lactobacillus acidophilus (human) 14 Pasteurized LCR
LCR 1980 10 Holstein Streptococcus faecium (calves) 14 Whole milk
1985 45 Swedish Red
& Withe
Lactobacillus spp. 50 Milk replacer DI, LCR
1991 56 Holstein L. acidophilus & L. lactis 42 Milk replacer FC,LCR
1991 53 Holstein Bacillus subtilis 42
1993 15 Holstein L. acidophilus & S. faecium 36 Milk replacer LCR, DI
1995 19 Holstein L. acidophilus, Bacilus thermophilum & Enterococcus faecium 56 Milk replacer DI
1996 16 Holstein L. acidophilus & L. plantarum 84 Pasteurized DI
LCR 1996 16 Holstein L. acidophilus 27CS 84 Whole milk &
milk replacer
1998 28 Holstein S. faecium, L. acidophilus, Saccharomyces cerevisor, Bacillus subtilid & Aspergillus aryzae
56 Milk replacer FC, LCR
1999 24 Holstein L. acidophilus 56 Whole milk DI, LCR
2002 51 Holstein L. acidophilus 42 Whole milk DI
DI 2002 52 Holstein L. acidophilus 42 Milk replacer
2003 22 Holstein L. plantarum, L. bulgaricus, L. acidophilus, L mamnsus, Bifidobacterium bifidum , S. thermophilus, E. faecium, A. oryza &Candida pintolopessi
60 Whole milk DI
DI
DI
2005 360 Holstein L. acidophilus, L. salivarius L. paracasi spp. Paracasi, L plantarum,L. lactis &E. faecium
14
2005 62 Holstein L. acidophilus, L. salivarius L. paracasi spp. Paracasi, L plantarum,L. lactis &E. faecium
14
2005 48 Holstein L. acidophilus, L. salivarius L. paracasi spp. Paracasi, L plantarum,L. lactis &E. faecium
56 Milk replacer DI, LCR
DI, LCR
DI, LCR
2005 48 Holstein Lactobacillus spp. 56
2005 41 Holstein L. acidophilus, L. salivarius L. paracasi spp. Paracasi, L plantarum,L. lactis &E. faecium
56
2005 41 Holstein Lactobacillus spp. 56
2007 112 Not specified B. bifidum , E. faecium, S. thermophilus, A. oryza &C. pintolopesti
90 Whole milk DI
2008 24 Holstein L. casei, L. salivarius &C. pintolopesti 35 Milk replacer DI, FC
2010 40 Holstein S. faecium 52 Milk replacer FC
2010 16 Holstein L. casei, L. salivarius &C. pintolopesti 35 Milk replacer DI, FC
DI, diarrheal incidence; FC, fecal consistency; LCR, lactic acid bacteria (LAB):coliforms ratio
20
21
Objectives
Bacterial probiotics (BPs) have benifical effects on the health and growth of
calves. The BPs are also known to modulate the GIT microbiota and have immune
stimulatory effects on their hosts. However, very few information of BP effects on
ruminal components, cellular immune function and prevention of diseases is
available in calves. The objectives of the present study projects were to clarify the
effects of a BP consisting of L. plantarum, E. faecium and C. butyricum on the
ruminal components and cellular immune function in weaned and preweaning
Holstein calves. The studies were following by three experimental projects as below:
1. Study on the effects of a bacterial probiotic on ruminal components and bacterial
populations of weaned Holstein calves.
- The aim of this study was to determine whether administration of a probiotic
containing LAB affects the ruminal pH, VFA, lactic acid and NH3-N consentrations
in conjunction with the levels of ruminal bacteria in weaned Holstein calves.
2. Study on the effects of a bacterial probiotic on subpopulations of peripheral
leukocytes and their cytokine mRNA expression in weaned Holstein calves.
- In this study, to confirm the effects of a BP on the immune function, lymphocyte
subpopulations, monocytes and cytokine mRNA expression in peripheral leukocytes
were investigated using healthy weaned Holstein calves.
3. Study on the effects of a bacterial probiotic on subpopulations of peripheral
leukocytes and their cytokine mRNA expression levels in scouring Holstein calves.
- This study was designed to examine the therapeutic and immune stimulatory
effects of the BP in the preweaning scouring and healthy Holstein calves in the field.
22
Chapter I
Study on the Effects of a Bacterial Probiotic on Ruminal pH, Volatile
Fatty Acids and Bacterial Flora of Weaned Holstein calves
Introduction
Bacterial probiotics (BPs) consisting lactic acid bacteria (LAB) promote the
stability of the ruminal microbiota [5, 16, 41, 140], which result in increased dry
matter intake and weight gain and improved health in cattle [53, 132, 140].
Among LAB, the species used most frequently as probiotic are L. plantarum and E.
faecium [139]. Nocek et al. [91] reported the decreased risk of acidosis for dairy
cows receiving a combination of BP including Lactobacillus and Enterococcus.
Furthermore, steers receiving a BP including both lactate-utilizing
Propionibacterium and lactate-producing Enterococcus had higher ruminal
concentration of acetate, and the blood variables indicated a reduced risk of
metabolic acidosis [41]. It has been hypothesized that the functionality and
efficacy of BPs can be determined by their effect on rumen microbial populations
[17, 41]. This thinking is consistent with previous reports that BP improves the
GIT microbiota in calves [1, 53, 132].
Normally, the ruminal pH of cattle decreased dramatically in the period
immediately after high concentrate feeding [70, 108]. The restitute of decreased
ruminal pH is depend on the feeding frequency, effective neutral detergent fiber
(NDF), ruminal digestion rate and absorption of volatile fatty acids (VFA) through
23
the ruminal epithelium [3, 97]. The certainly conditional causes of stability of
ruminal pH in a higher range can be due to decreased in fermentable activities of
LAB and other than carbohydrate fermenter, which are inhabited in decreased
ruminal pH [139]. On the other hand, ruminal pH greater than 6.0 is thought to
be an ideal environment for overgrowing of acid sensitive microorganisms such as
fibrolytic communities [3, 106], and decreased ruminal pH depress fibre
degradability in the rumen [108].
Ruminal components, such as pH and amounts of VFA and lactic acid (LA),
are important environmental factors for survival of ruminal microorganisms [70,
87, 106]. Decreased pH and overgrowth of acidophilic bacteria in ruminal fluid are
synchronized with an increased level of rapidly fermentable carbohydrate, which
results in prompt production and accumulation of ruminal VFAs and LA, leading
to acidosis [8, 87]. Likewise, a number of ruminal bacteria, such as fibrolytic
bacteria, decrease when the ruminal pH remained under 5.5 [68, 85, 106]. Orderly
shifts occur among the rumen-predominant amylolytic and lactate-utilizing
bacterial populations in response to gradually decreasing ruminal pH [91].
Similarly, when quantities of rapidly fermentable carbohydrates exceed the
buffering capacity of the rumen [108], accumulated VFA and LA are associated
with a decreased ruminal pH [3, 106], even in newborn calves [64].
Highly fermentable diets stimulate ruminal microbial proliferation and VFA
production in pre-weaned calves, followed by initiation of ruminal development
[69]. Rapid fermentation of ingested calf starter causes an increased concentration
of VFA and decreased pH in the incompletely developed rumen [64, 100].
24
Furthermore, consumption of a highly fermentable diet results in increased LA
levels and ruminal acidosis in weaned calves [2, 100]. Challenges, such as the
transitive ruminal microbiome and high-concentrate feeding strategies, are
related to the incidence of ruminal acidosis in young ruminants [64]. Methods
such as terminal-restriction-fragment length polymorphism (T-RFLP), PCR-
denaturing gradient gel electrophoresis and real-time analyses of the ruminal
flora, show that the most complex interactions occur between the ruminal bacteria
and other bacterial products [31, 62, 70]. However, little information on the effect
of BPs containing LAB on ruminal pH, VFA and the properties of rumen bacterial
flora in calves is available. Furthermore, the mechanism underlying the effects of
BPs on ruminal components remains unclear. The objective of this study was to
determine whether administration of a BP containing LAB affects the ruminal pH,
VFA, LA and NH3-N levels in conjunction with the levels of a number of ruminal
bacteria in weaned Holstein calves.
Materials and Methods
Animals and Treatment
This experimental design was approved by the Iwate University Laboratory
Animal Care and Use Committee (A201026). Twelve ruminally cannulated
Holstein bull calves aged 12 ± 3 weeks [95 ± 2 kg BW; mean ± SE] were housed in
a 4 × 5-m2, open-sided straw bed and naturally ventilated barn at the Cattle
Research Center of Iwate University. The calves had been weaned within 4 weeks
after birth and fed starter pellets containing ground corn. The ruminal cannula
25
(diameter; 5cm) was applied surgically 4 weeks before starting the experiment.
One week before start of the experiment, the calves were gradually adapted to the
high-grain diet containing steam-rolled corn mixed with timothy hay (standard
diet). The concentrate: hay ratio was 1:1. The percentages of ingredients and
chemical composition of the total mixed diet are shown in Table 1.1. During the
15-day experimental period, each calf received 3.2 kg of diet twice per day at 0800
hr and 1700 hr and had access to fresh water ad libitum.
The BP (Miyarisan Pharmaceutical Co., Ltd., Tokyo, Japan), which included
L. plantarum strain 220 (9 × 106 CFU/g), E. faecium strain 26 (9 × 105 CFU/g) and
C. butyricum strain Miyari (9 × 104 CFU/g) was administered daily as a single
dose of 1.5 or 3.0 g/100 kg BW to each group of four calves for 5 consecutive days.
Four additional calves fed the standard diet without BP treatment served as the
control. The BP was stored at 4°C, each dose was mixed with 50 mL of tap water
in a beaker, and the BP suspension was orally administered to each calf with a 50-
mL drencher the morning prior to feeding. No changes in the health of the calves
were observed during the experimental period.
Ruminal pH Measurement
Ruminal pH was measured using a radio transmission system, as reported
previously [111]. Briefly, the system consisted of a pH sensor attached to a
transmitter through a 60-cm wire, a data measurement receiver and a personal
computer with special software (YCOW-S; DKK-Toa Yamagata, Yamagata,
Japan). The pH sensor was inserted through the ruminal cannula and located in
26
the ventral sac of the rumen, and a small data transmitter was mounted at the
back of each calf (Figure 1.1). The standardized site for measuring ruminal pH is
the cranial and ventral sacs, because most mixing of ruminal contents occurs at
these sites, and the pH values are more stable compared to at other ruminal sites
[27]. The pH sensors were calibrated with pH 4 and 7 buffer solutions before
insertion and within two weeks interval during the experimental period. Ruminal
pH was recorded every 10 min at 1 week before experiment and during the 15-day
experimental period. The location of the pH sensor in the rumen was checked each
morning.
Ruminal Fluid Sampling and VFA, Lactic Acid and NH3-N Assays
Ruminal fluid was collected from the ventral sac of the rumen, adjacent to
the pH sensor. A manual vacuum pump was used to collect samples through the
ruminal cannula, the morning prior to feeding, at predose and on days 7 and 14.
Ruminal fluid was filtered immediately through two layers of cheesecloth and
collected into a sterile plastic tube to analyze ruminal bacteria, total and
individual VFA components (acetic acid, propionic acid and butyric acid), LA and
NH3-N. Two milliliters of ruminal fluid were immediately stored at –80°C for
assessment of the bacterial population. Ten milliliters of ruminal fluid were added
to 2 mL of 25% metaphosphoric acid in 3 N H2SO4 for assay of VFA. Total and
individual VFA components were separated and quantified by gas
chromatography (model GC-2014, Shimazu, Kyoto, Japan) using a packed-glass
column (Thermon-3,000; 3%) on a Shimalite TPA 60–80 support (Shinwa
27
Chemical Industries Ltd., Kyoto, Japan). For assay of LA, the ruminal fluid was
centrifuged immediately at 2,000 × g for 15 min, and concentrations in the
supernatant were determined using a commercial kit (F-kit; D-lactate/L-lactate, J.
K. International, Tokyo, Japan). NH3-N levels in ruminal fluid were determined
by the steam distillation method using an automatic-N analyzer (Kjeltec auto
sampler system 1035 Analyzer, Tecator, Sweden).
Ruminal Bacteria Assay
Bacterial composition of ruminal fluid was assessed using T-RFLP and real-
time PCR. The ruminal bacteria was evaluated in ruminal fluid samples collected
at predose and on days 7 and 14 from both the group given 3.0-g BP and the
control group. Bacterial DNA was extracted from 1 mL of ruminal fluid using the
bead–phenol method [80]. Extracted DNA was dissolved in TE buffer and stored at
–80°C until T-RFLP and real-time PCR analyses. T-RFLP measurements were
performed according to the method of Sakamoto et al. [109]. In brief, the complete
16S rDNA was amplified using the universal primers 27F (5'-
AGAGTTTGATCCTGGCTCAG-3') and 1492R (5'-GGTTACCTTGTTACGACTT-3')
for PCR amplification of the 16S rRNA gene sequences [65]. The forward primer
was labeled at the 5' end with 6'-carboxyfluorescein (Applied Biosystems, Tokyo,
Japan). The following program was used to amplify 16s rDNA: 95°C for 3 min,
followed by 30 cycles of 95°C for 30 sec and 72°C for 1.5 min, with a final extension
at 72°C for 10 min. The PCR products were purified using a High Pure PCR
Product Purification kit (Roche, Indianapolis, IN, U.S.A.) and digested using
28
either HhaI or MspI at 37°C for 3 hr. A standardized marker (1,200 LIZ) was then
added to each sample. The length of the terminal restriction fragment was
determined on an ABI PRISM 310 Genetic Analyzer (Applied Biosystems, Foster,
CA, U.S.A.). Fragment sizes were estimated using GeneMapper Software (Applied
Biosystems). The predicted T-RFLP patterns of the 16S rDNAs of known bacterial
species were obtained using InfoCom software (Microbiota Profiler; Infocom Co.,
Tokyo, Japan).
Bacterial species, including the BP and some ruminal bacteria, were
quantified by real-time PCR according to a previous method [80]. Briefly, DNA
extraction from ruminal fluid samples was performed using a method similar to
that for the T-RFLP measurements. Real-time PCR was carried out using a
Thermal Cycler Dice TP800 device (Takara, Otsu, Japan), using the primers
shown in Table 1.2. The quantification of DNA for each bacterial species in
ruminal fluid was performed using the SYBR Green intercalation procedure.
Standards and samples were assayed in a 25-µl reaction mixture containing 12.5
µl of SYBR Premix EX Taq II (Tli RNase H plus), 0.5 µl of each primer, 10.5 µl of
nuclease-free water, and 1 µl of DNA template. The amplification program
included an initial denaturation step at 95°C for 5 min followed by 40 cycles of
denaturation at 95°C for 5 sec, annealing/extension at 60°C for 30 sec, with a final
extension step at 72°C for 5 min.
Statistical Analysis
The calf was the experimental unit for all statistical analyses, and the
29
random effect was the calf within a treatment. The main effects included
challenge treatment, day of the experiment (predose day = 24 hr before treatment,
day 1 = 0 - 24 hr, followed until day 14) and after 0800 hr treatment and feeding.
Diurnal measurements of ruminal pH were analyzed as 24-h mean pH from 1 day
before to 14 days after treatment. Each 10-min interval of the pH data was
summarized as a 1-h mean from 0800 hr to 0700 hr the following day to assess
circadian changes. Minimum and maximum pH values during a single day were
determined on the predose day and days 7 and 14. Minimum and maximum pH
values were analyzed by the Mann–Whitney U- test. Quantities of 16S rDNA as
determined by real-time PCR were analyzed to determine significant differences
in copy number between treatment and control groups for each targeted bacterial
species. Ruminal parameters and the number of bacteria data are presented as
means ± SE. T-RFLP analyses of ruminal microbiota were expressed on an
electropherogram based on the size of the intergenic spacer and the fluorescence
intensities of the fragments. Graph Pad Prism ver. 5.01 software (La Jolla, CA,
U.S.A.) was used for the statistical calculations, and one-way repeated-measures
analysis of variance followed by the Tukey’s multiple comparison method was
used to evaluate differences among the groups. A P-value < 0.05 was considered
significant.
Results
Ruminal pH
Ruminal pH in calves received the BP at either dose exhibited a constant 24-
hr mean pH during the experimental period. A difference (P<0.01) in ruminal pH
30
was found between the BP treated and control groups on days 4 to 14. In addition,
the 24-hr mean ruminal pH decreased (P<0.01) in the control group on days 5, 9,
10 and 11 compared to predose values. Considerable disparities in the ruminal pH
values among the BP groups and control were observed 3 day after initial
administration of the BP and continued throughout the experimental period
(Figure 1.2). The circadian pattern of 1-hr mean pH was almost identical among
the probiotic groups at predose to day 14. However, a difference (P<0.01) between
the pH values of the BP groups and control was observed at similar times on days
7 and 14. The ruminal pH decreased approximately 1-hr after feeding of a
standard diet in the morning and evening. The 1-hr mean pH curve in the control
on days 7 and 14 differed (P<0.01) from the values at 0800 hr on the same day
(Figure 1.3). The minimum ruminal pH was greater (P<0.05) in probiotic groups
than that in the control on day 7. On the same day, the minimum pH in the
control calves was different (P<0.05) from that predose. The maximum ruminal
pH values approached 7.0 in the probiotic groups and did not differ from that of
control during the experimental period (Figure 1.4).
Ruminal VFA, LA and NH3-N
No difference in the concentrations of total VFA between the BP groups and
the control was observed. Concentrations of none of the individual VFA were
altered among the groups. The acetic acid and propionic acid ratios were almost
identical in all BP groups. LA concentrations remained unchanged in both
probiotic groups. However, the LA concentration increased (P<0.01) in the control
31
on day 7 compared to that predose and differed (P<0.01) from the values in the BP
groups on the same day. No difference in rumen fluid NH3-N concentration
between the BP groups was observed. However, the NH3-N concentration was
significantly high (P<0.01) in the control group on days 7 and 14, compared to
predose day and also the values in the BP groups on the same days (Table 1.3).
Ruminal Bacteria
Ruminal cellulolytic bacteria, such as Butyrivibrio fibriosolvens and
Eubacterium ruminantium, showed greater fluorescence intensity peaks in most
samples from calves given 3.0-g BP on day 7. The Bacteriodetes group bacteria
had greater peaks in the control group on days 7 and 14. However, most bacteria
were not detected by T-RFLP measurement in the BP group samples on day 14
(Figure 1.5 - 1.6). The mean number of L. plantarum by real-time PCR was less
than 2 × 103 cells/ml in ruminal fluid of BP group on days 7 and 14. In contrast,
the number of L. plantarum was unchanged in the control samples on days 7 and
14. The number of Enterococcus spp. remained unchanged in the BP treated and
control groups, while C. butyricum was not detected (less than 2 × 103 cells/ml of
ruminal fluid) in the BP groups on days 7 and 14. The numbers of Clostridium
coccoides were similar among the groups. The number of Megasphaera elsdenii
and Selenomonas ruminantium did not differ among calves given BP on days 7
and 14. However, M. elsdenii was slightly changed in the controls on days 7 and
14 (Table 1.4).
32
Discussion
Probiotics have been shown to improve anaerobiosis, stabilise pH and supply
nutrients to ruminal microbiota in their microenvironment [5, 16, 17, 41, 78]. BP
consisting of L. plantarum and E. faecium induced a change in the ruminal pH in
cows fed a high grain diet [91]. Ruminal pH decreases immediately after feeding of
a high concentrate to adult cattle and newborn calves [64, 108]. The decrease in
ruminal pH depends on feeding frequency, effective neutral detergent fiber,
ruminal digestion rate and absorption of VFA through the ruminal epithelium [3,
97]. Furthermore, changes in ruminal microbiota, increased activities of lactate-
utilizing bacteria and greater lactate consumption also affect ruminal pH [59, 74,
78]. A invariable ruminal pH may result from decreased fermentation by LAB and
other carbohydrate fermenters, which inhabit low-pH environments [139]. Nocek
et al. [91] reported that cows fed fewer BP maintained a greater pH than cows fed
high concentration without BP, and they suggested that a BP consisting of LAB
produced sufficient acid to stimulate acid utilizers. By contrast, our results
indicate that a LAB-containing BP had a marked effect on the ruminal pH of high-
concentrate-fed calves at either dose. In the present study, the ruminal VFA
concentration was not affected by the BP treatment. This is in agreement with
previous reports, in which ruminal VFA was not affected by a BP included LAB
[15, 41]. In our study, the VFA concentration was likely affected by sampling time
because the total ruminal VFA concentration in calves increases soon after feeding
[7], and the majority of VFA present have been absorbed by the following morning
[97, 100, 108]. This explains the greater ruminal pH in calves in the control group
33
in the morning. Consequently, the circadian ruminal pH was higher at the period
of morning, and this was agreed with the report of Ghorbani et al. [41]. In addition,
the size of the rumen and the effectiveness of ruminal absorption may also affect
the ruminal VFA concentration in calves [69]. Beharka et al. [7] reported, total
VFA concentration increased in calves fed pelleted basal diet soon after feeding. In
the same report, authors noted that ruminal fermentation of VFA increased when
calves aged.
The LA concentration increased in the control but not in the BP groups, and
was correlated with a significantly lower mean ruminal pH in the control group.
This indicates that control calves had a normal ruminal fermentation capacity
during feeding of high-concentrate, which was supported by the decrease in
ruminal pH and growth of LAB [64, 139]. However, the circadian ruminal pH
increased gradually in control calves, which may be attributable to the effects of
time and adaption to diet [24]. A decrease in ruminal pH is known to be related to
decreased absorption of VFA and the accumulation of LA in the few hours after
high grain feeding [3, 59, 97]. BPs including LAB affects ruminal pH by altering
the growth of lactate-utilizing bacteria in the rumen [17]. In contrast, the number
of lactate-utilizing bacteria increases only when LA accumulates, and ruminal pH
decreases [59, 78]. A common theory is that BP may prevent a decline in ruminal
pH by decreasing LA production and increasing the utilization of LA by some
microbes [5, 15; 91]. It is possible that certain BP combinations, which synthesize
LA, may sustain a tonic level of LA in the rumen. This would stimulate the rumen
predominant microbial communities, which consume LA and reduce total acidity,
34
and as a consequence the ruminal pH would remain invariable. In the present
study, the ruminal concentration of LA and the number of lactate-utilizing
bacteria (M. elsdenii) were not affected by BP treatment, whereas the number of
M. elsdenii was greater in the controls. Compared to predose day, the NH3-N level
remained unchanged in the BP groups on days 7 and 14, however, the values were
significantly lower compared to that of the control group. BPs have been reported
to have no effects on the NH3-N concentration in the rumen [17, 41]. It was also
reported that many cellulolytic bacteria used NH3 as their only source of N [107].
Therefore, a lower NH3-N concentrations and invariable ruminal pH in BP treated
calves might imply the greater growth of cellulolytic bacteria in the rumen.
The numbers of L. plantarum and Enterococcus spp. did not increase in the
ruminal fluid of the BP groups. This was likely because growth of LAB is inhibited
at pH values > 6.0 [8, 140]. It has also been suggested that orderly shifts occur
among the predominating amylolytic and lactate-utilizing bacteria in response to
changes in ruminal pH [74]. Likewise, Russell et al. [107] reported that LAB
growth and carbohydrate fermentation are more favorable at lower ruminal pH
values, whereas fiber digestion is enhanced at a ruminal pH > 6.2 [106]. According
to circadian measurements, ruminal pH was < 6.6 during the morning when the
BP was administered, which is ideal for cellulolytic bacteria [85]. In contrast, the
number of B. fibrisolvens peaked at a greater level in the most calves given 3.0-g
BP, based on the T-RFLP measurements; thus, B. fibrisolvens is the most active
and numerous cellulolytic and acid-sensitive bacterium in the rumen [85, 108].
Bacteroidetes-group organisms exhibited high growth rates only in the control
35
group; indeed, these bacteria exhibit a distinctive ability to survive at a range of
ruminal pH [107]. Recently, it was reported that increased amounts of high-
concentrate diet and a reduction in ruminal pH were less favorable to fibrolytic
bacteria in the rumen [95]. Furthermore, earlier studies noted that a ruminal pH
of 6.0 to 7.0 facilitated the growth of acid-sensitive ruminal bacteria such as
Ruminococcus flavefaciens, Ruminococcus, Butyrivibrio fibriosolvens and
Fibrobacter succinogenes [62, 107, 84]. However, because of the adhesion capacity
of bacteria to fibre contents, the exact estimation of fibrolytic bacteria in the
ruminal fluid is less practical [62]. A maintaining effect of BP on rumen-
predominant microorganisms has been reported [41, 109]. Sharp et al. [118]
reported that L. plantarum and starch-utilizing bacteria were rapidly lost from
the rumen due to protozoan predation. Although BP products contain fewer
surviving organisms, and the recommended BP composition and dose remain
obscure [31], and such bacterial products might have more enhancing effect on
instigation and nourishment of the ruminal predominate microorganism, than
that of taking part in ruminal fermentation. Therefore, such BP products likely
enhance the effectiveness of rumen-predominant microorganisms [140]. However,
a possible antagonistic interaction and inhibitory effects among the rumen-
predominant bacteria and inoculated BP strains have also been reported [17, 41].
Although the mode of action of BP in the rumen is not completely understood, the
administration of LAB- probiotics is thought to help the rumen microbiota adapt
to the presence of LA [41] and prevent lactate accumulation in rumen [106]. Same
as our results, previous studies of Ghorbani et al. [41], Nocek et al. [91],
36
Timmerman et al. [132] and Chiquette et al. [15, 17] have been supported this
hypothesis of the effects of BP on the changes in the number of rumial bacteria.
Timmerman et al. [132] reviewed the possible mechanisms underlying the
enhancing effects of BPs on the predominant microbial communities in different
hosts as well in ruminant. However, if high amounts of LAB are supplemented,
the level of ruminal acid production can exceed the rumen’s ability to consume
acid [91]. Furthermore, the certainty of diametrical agonistic pluralism effects
among the ruminal microbiota has been determined [119, 139]. The agonistic
interactions among the ruminal microbiota thought to be the key factor for
controlling the stability of the rumen biological stricture [140] and balancing the
ruminal pH [106]. In the prents study, the BP at either dose improved the reduced
24-hr mean ruminal pH in weaned Holstein calves. In both BP-treated groups,
ruminal LA concentrations remained lower than that of the control. However, the
bacteria consisting in the BP product were not changed in the ruminal fluid, and
other ruminal bacteria remained stable. These results suggest that calves given a
BP had invariable ruminal pH, presumably due to effect of the BP on stabilizing
rumen-predominant bacteria, which consume LA in the rumen.
37
Table 1.1. Ingredient and chemical components of diet
a)All except DM presented on DM basis. DM presented as
percent fed basis.
Item Quantity
Ingredients, % (DM)
Dry-rolled corn 50.0
Alfalfa pellet 7.5
Corn grain 18.0
Wheat bran 13.5
Soybean meal 10.0
Dried whey 1.0
Nutrient component a)
DM, % 87.8
CP, % 17.7
NDF, % 40.5
NFC, % 28.7
Calcium, % 0.50
Phosphorus, % 0.35
38
Figure 1.1. Ruminal pH measurement system used in this study [111]
21
Table 1.2. Species- and genus-specific primers for the quantification of ruminal bacteria using real-time PCR assay
Bacteria
Primer
Sequence (5’- 3’)
Source of
primers
Lactobacillus plantarum
Sg-Lpla-F
CTCTGGTATTGATTGGTGCTTGCAT [79]
Sg-Lpla-R GTTCGCCACTCACTCAAATGTAAA
Enterococcus spp. g-Bfra-F CCCTTATTGTTAGTTGCCATCATT [103] g-Bfra-R ACTCGGTTGTACTTCCCATTGT
Clostridium butyricum 209F25 AGTGATTGTCAGTAGTAGACGAGCG [88] R221 CATGCGCCCTTTGTAGC
Clostridium coccoides g-Coc-F AAATGACGGTACCTGACTAA [80] g-Coc-R CTTTGAGTTTCATTCTTGCGAA
Megasphaera elsdenii MegEls1F GACCGAAACTGCGATGCTAGA [59] MegEls1R CGCCTCAGCGTCAGTTGTC
Selenomonas ruminantium SelRum1F GGCGGGAAGGCAAGTCAGTC [59] SelRum1R CCTCTCCTGCACTCAAGAAAGACAG
39
40
Figure 1.2. Changes in 24-hr mean pH in the ruminal fluid of calves given
1.5 g (n=4; ▲) or 3.0 g/100 kg BW (n=4; ■) probiotic for 5 consecutive days.
Additional calves without probiotic served as control (n=4; ○). Values
represent the means ± SE. * Ruminal pH in the probiotic groups compared to
control on the same day (P<0.01). # Ruminal pH in the control group
compared to the predose day (Pre; P<0.01). The first day of probiotic
administration was regarded as day 1.
41
Figure 1.3. Circadian changes in 1-hr mean pH at predose day (Pre) and days 7
and 14 in the ruminal fluid of calves given 1.5 g (n=4; ▲) or 3.0 g/100 kg BW (n=4;
■) probiotic for 5 consecutive days. Additional calves without probiotic served as
controls (n=4; ○). Values represent the means ± SE. * Ruminal pH in the probiotic
groups compared to the controls at the same time (P<0.01). # Ruminal pH in the
control group compared to time before feeding (0800 hr; P<0.01).
42
Figure 1.4. Box plots showing maximum and minimum ruminal pH on the
predose day (Pre), and days 7 and 14 in calves given 1.5 g (n=4; grey boxes)
or 3.0 g/100 kg BW (n=4; dark boxes) probiotic for 5 consecutive days.
Additional calves not given probiotic served as control (n=4; white boxes).
Median and quartiles are displayed in the box. Upper and lower bars
represent maximum and minimum values, respectively. * Ruminal pH in
the probiotic groups compared to the controls on the same day (P<0.05). # Ruminal pH in the control group compared to the predose day (Pre;
P<0.05). The first day of probiotic administration was regarded as day 1.
40
Table 1.3. Ruminal volatile fatty acids (VFA), lactic acid (LA) and NH3-N concentrations in the probiotic-treated and
control calves
Within a row, values represent the means ± SE (n=4). a) Calves of each group (n=4) received probiotic at 1.5 or 3.0
g/100 kg BW/day for 5 days, b) Predose; day before administration, c) Acetic acid:Propionic acid. *Compared to the
values in the control group (P<0.01), # Compared to predose values in the same group (P < 0.01).
Item Item
Treatment a)
Probiotic (1.5 g)
Probiotic (0.3 g)
Control
Pre b) Day 7 Day 14 Pre Day 7 Day 14 Pre Day 7 Day 14
VFA, millimole/dL
Total 7.5 ± 0.6 8.1 ± 0.6 8.0 ± 0.4
6.8 ± 0.4 7.6 ± 0.4 7.4 ± 0.3 7.7 ± 0.2 9.2 ± 0.5 7.6 ± 0.3
Acetic acid 5.3 ± 0.5 5.8 ± 0.4 5.6 ± 0.2 5.0 ± 0.3 5.3 ± 0.2 5.1 ± 0.2 5.3 ± 0.1 6.5 ± 0.3 5.2 ± 0.2
Propionic acid 1.4 ± 0.1 1.5 ± 0.1 1.5 ± 0.1 1.3 ± 0.1 1.5 ± 0.1 1.5 ± 0.1 1.5 ± 0.1 1.8 ± 0.1 1.5 ± 0.1
Butyric acid 0.6 ± 0.1 0.7 ± 0.1 0.7 ± 0.1 0.5 ± 0.1 0.6 ± 0.1 0.6 ± 0.1 0.6 ± 0.1 0.8 ± 0.1 0.7 ± 0.1
A:P c) 3.8 ± 0.2 4.0 ± 0.1 3.8 ± 0.1 3.9 ± 0.1 3.5 ± 0.1 3.3 ± 0.1 3.8 ± 0.2 4.1 ± 0.1 4.1 ± 0.2
LA, mg/dL 2.3 ± 0.3 3.0 ± 1.1* 2.1 ± 0.4 2.5 ± 0.5 2.0 ± 0.2* 2.2 ± 0.0 2.3 ± 0.1 10 ± 2.4# 3.1 ± 0.1
NH3–N, mg/dL 7.8 ± 0.8 7.5 ± 0.6* 8.0 ± 0.3* 6.2 ± 0.8 8.1 ± 0.7* 7.0 ± 1.0* 6.8 ± 1.0 13 ± 1.3# 12 ± 1.6#
43
44
Table 1.4. Enumerated eubacteria 16S rRNA genes of some rumen bacterial
species in the probiotic-treated and control calves using real-time PCR
Within a row, values represent mean ± SE number of bacteria (×103 cells/ml) in
ruminal fluids. a) Calves of group (n = 4) received probiotic (3.0 g/100 kg BW per d)
for 5 day. b) Predose; day before administration. c) Not detected (less than 2 × 103
cells/ml).
Bacteria
Treatment a) Control
Pre b) Day 7 Day 14 Pre Day 7 Day 14
Lactobacillus plantarum 2.5 ± 0.8 ND c) ND 2.1 ± 0.7 2.8 ± 0.6 2.3 ± 0.7
Enterococcus spp. 4.8 ± 0.1 4.3 ± 0.1 4.5 ± 0.1 4.5 ± 0.1 4.8 ± 0.1 5.0 ± 0.2
Clostridium butyricum 2.1 ± 0.8 ND ND 2.9 ± 0.6 2.4 ± 0.8 ND
Clostridium coccoides group
8.8 ± 0.1 8.7 ± 0.1 8.9 ± 0.3 8.8 ± 0.1 8.7 ± 0.1 9.0 ± 0.1
Megasphaera elsdenii 4.5 ± 0.1 5.0 ± 0.1 5.6 ± 0.8 4.7 ± 0.1 6.4 ± 0.1 6.1 ± 0.1
Selenomonas ruminantium
8.2 ± 0.2 8.1 ± 0.2 8.1 ± 0.1 8.0 ± 0.3 8.2 ± 0.3 8.5 ± 0.1
45
Figure 1.5. Representative terminal-restriction-fragment length polymorphism (T-
RFLP) analysis of rumen microbiota composition using Hhal restriction enzymes
on the predose day (Pre) and days 7 and 14 in control calves given standard diet
without probiotic (A) and the calves given 3.0 g/100 kg BW probiotic (B). Each
peak represents a terminal restriction fragment of a specific length that
corresponds to a bacterial phylotype, usually a genus.
46
Figure 1.6. Representative terminal-restriction-fragment length polymorphism
(T-RFLP) analysis of rumen microbiota composition using MspI restriction
enzymes on the predose day (Pre) and days 7 and 14 in control calves given
standard diet without probiotic (A) and the calves given 3.0 g/100 kg BW
probiotic (B). Each peak represents a terminal restriction fragment of a specific
length that corresponds to a bacterial phylotype, usually a genus.
47
Chapter II
Study on the Effects of a Bacterial Probiotic on Subpopulations of
Peripheral Leukocytes and Their Cytokine mRNA Expression in
Weaned Holstein Calves
Introduction
Enhancement of the immune system is an important trait following
administration of bacterial probiotics (BPs) in human and animals. Certain multi-
strain and multi-species BP have been reported to have immune-stimulating
effects in cattle [29, 57, 61], and beneficial effects of BPs have been recognized in
improving animal health and protecting calves against infection [122, 126].
Lactobacillus strains, alone or in combination with other BPs, may reduce
scouring in neonatal calves, increase weight gain and maintain health [53, 58].
However, the interaction between BPs and the function of host peripheral blood
mononuclear cells (PBMCs) is not fully understood in calves.
BP consisted E. faecium and C. butyricum enhanced the T cells immune
response and activated monocytes in human in vitro study [52]. Recently, it was
reported that a Lactobacillus subspecies have been effected the T cell
subpopulations and resulted increased level of interferon-gamma (IFN-γ) in
infants during the weaning [142]. It has been hypothesized that BPs might impact
the host immune system in a number of ways, such as upregulation of cell-
mediated immunity, increased antibody production and epithelial barrier
integrity, enhanced dendritic cell-T cell interactions, heightened T cell association
and increased toll-like receptor (TLR) signaling [57, 67].
48
One valuable effect of BPs is that they contribute to homeostasis of the GIT
microbiota, especially in calves [5]. Thus, the immune-modulating effect of BPs in
ruminants is likely more appropriate at a young age, when the intestinal
microbiota inhabitants are less well established. Phagocytic activities of
leukocytes have been reported to be increased in peripheral blood of calves
following administration of a BP consisting of L. plantarum [57]. Increases in
acute-phase proteins, such as serum amyloid A and plasma lipopolysaccharide-
binding protein (LBP) have been recognized in feedlot steers receiving a BP
containing E. faecium and Saccharomyces cerevisiae [29]. Furthermore, LBP
binds to bacterial lipopolysaccharide (LPS) to elicit immune responses by
presenting the LPS to the important cell-surface proteins CD14 and TLR2 [86].
Recently, it was also reported that T cell subsets in peripheral blood of scouring
calves were stimulated by a BP [92]. Likewise, a BP consisting of LAB has been
shown to enhance non-specific immunity in infants, including T cell responses and
increased levels of IFN-γ and interleukin-4 (IL-4) [67, 142].
The effects of BPs on the ruminal components and possible interactions with
resident bacterial populations in cattle have been reported [5, 13, 138].
Furthermore, variation in the intistinal microbiota and subsequently immune
stimulatory effects, such as the expression of TLR, is observed in steers [13].
However, few studies have described the effects of BPs on the peripheral
leukocytes function in weaned calves. In the present study, lymphocyte
subpopulations, monocytes and cytokine mRNA expression in peripheral
leukocytes were investigated to confirm the effects of a BP on the celluer immune
49
function in the healthy weaned calves.
Materials and Methods
Animals and Treatment
The experimental design was approved by the Laboratory Animal Care and
Use Committee of Iwate University, Iwate, Japan. Eight clinically healthy
Holstein bull calves, aged 10±3 weeks, were purchased from a government farm
(National Livestock Breeding Center, Morioka, Japan) and were housed in a
4×5 m2, open-sided straw bed and naturally ventilated barn at the Cattle
Research Center, Iwate University. The calves had been weaned within 4 weeks
after birth and fed starter pellets containing ground corn (standard diet) and had
access to fresh water ad libitum.
Calves were assigned to a 4 × 2 experimental design for the BP and control
groups. The BP (Miyarisan Pharmaceutical Co., Ltd., Tokyo, Japan), which
included L. plantarum strain 220 (9×106 CFU/g), E. faecium strain 26 (9×105
CFU/g) and C. butyricum strain Miyari (9×104 CFU/g), was administered daily at
3.0 g/100 kg body weight (BW) to the calves once daily for 5 consecutive days. The
BP was mixed with 50 mL tap water in a beaker, and the BP suspension was
administered orally to each calf in a 50 mL drencher in the morning, prior to
feeding. Four additional calves given tap water alone, with no BP treatment,
served as the control. Each calf was examined clinically for normal health and
growth. No abnormal changes in the health of any calf were observed during the
experimental period.
50
Blood Collection and PBMC Isolation
Blood was drawn by jugular venipuncture from each calf at predose and on
days 7 and 14. The first administration day was considered day 1. A blood
specimen (6 mL) was collected in a heparinized tube (BD Vacutainer, Belliver
Industrial Estate, Plymouth, U.K.) and used for PBMC isolation for flow
cytometry analysis. Blood (4 mL) was collected in two EDTA tubes (BD
Vacutainer, Franklin Lakes, NJ, U.S.A.), and used for total RNA extraction from
peripheral leukocytes and white blood cell (WBC) counts. Blood (10 mL) was
collected in a serum separating tube (SST; BD Vacutainer, Franklin Lakes, NJ,
U.S.A.), and used for blood biochemistry profile measurement. WBC count was
determined using an automatic hematology analyzer device equipped with
software for bovine samples (pocH-100iV Diff, Sysmex, Kobe, Hyogo, Japan). The
percentage of PBMCs was determined using a hemogram method with the Dif-
Quick staining protocol. PBMCs were isolated as described previously [93].
Briefly, to purify PBMCs and to lyse red blood cells, 2 mL heparinized blood was
mixed with 8 mL 0.83% ammonium chloride solution. After 5 min at room
temperature, samples were centrifuged (2,000 rpm, 10 min, 4°C). PBMCs were
purified by washing twice in phosphate-buffered saline (PBS, pH 7.4) followed by
centrifugation (2,000 rpm, 5 min, 4°C). After the final wash, the cell pellet was
diluted in 500 μL PBS, and cells were counted. Then, the cell concentration was
adjusted to 1×107/mL in PBS, and the cells were kept at 4°C until used for the
flow- cytometry assay.
51
Flow cytometry Assay
The primary monoclonal antibodies used in the present study are shown in
Table 2.1. Flow cytometry analysis was performed as described previously [93].
Briefly, PBMCs were labeled with the primary antibody and incubated for 60 min
at 4°C. CD3+ T cells and each of CD4+ and CD8+ T cell subsets were additionally
labeled with CD45R monoclonal antibody to mark pan-leukocytes. After
incubation, cells were washed twice to remove unbound antibodies. Labeled cells
were stained with specific purified IgG conjugated to phycoerythrin (PE)
polyclonal secondary antibody (goat anti-mouse IgG1 RPE, AbD Serotec,
Kidlington, Oxford, U.K.) or fluorescein isothiocyanate (FITC)-conjugated
antibody (goat anti-mouse IgG or IgM FITC, Southern Biotech, Birmingham, Ala.,
U.S.A.) and incubated for 30 min at 4°C. After washing twice, stained cells were
diluted in 500 μL PBS. Flow cytometry was performed using a FACScan analyzer
(Becton Dickinson, Franklin Lakes, N.J., U.S.A.), equipped with a computer
running the Cell Quest software (Becton Dickinson, Milan, Italy).
Total RNA Extraction from Leukocytes and cDNA Synthesis
Total RNA was extracted from 1 mL whole blood leukocytes using the SV
Total RNA Isolation System (Promega, Tokyo, Japan). Trace genomic DNA in the
crude total RNA samples was removed by incubation with 4–6 units DNase I per
100 mg total RNA (Ambion, Austin, Tex., U.S.A.) for 30 min at 37°C. The
concentration of total RNA was verified on a 1% agarose gel, and purity was
determined using a NanoDrop ND-1000 spectrophotometer (NanoDrop
52
Technologies, Rockland, Del., U.S.A.). cDNA was prepared using an oligo(dT)
primer and a thermal cycler (MyCycler; Bio-Rad, Tokyo, Japan). cDNA synthesis
was performed using the ImProm Reverse Transcription System (Promega). cDNA
was stored at -80°C until used for real-time PCR measurements.
Real-time PCR Assay
Real-time PCR analysis was carried out using the iQ SYBR Green Supermix
kit (Bio-Lad) as described previously [70]. Specific individual cytokine primer
sequences and the internal standard gene β-actin used are shown in Table 2.2.
Amplification was carried out using a Mini Opticon (Bio-Rad) thermal cycler with
the following profile: one cycle of 95°C for 2 min, followed by 45 cycles of 95°C for
30 sec, 65°C or 59°C for 30 sec and 74°C for 30 sec, followed by 74°C for 7 min.
Melting curve analysis was performed from 50°C to 95°C, read every 0.5°C holding
for 5 sec. Relative gene expression was calculated using the comparative threshold
cycle number (2-ΔCt) method, as described by Livek and Schmitge [72]. Results are
summarized as ΔCt values, where ΔCt is the difference in the threshold cycle for
the target and β-actin, as an internal control.
Statistical Analysis
The number of CD-positive or CD-negative cells was calculated from the
percentages of leukocytes gated by flow cytometry analysis and total PBMCs.
Values are expressed as means ± standard error (SE). Prism-Pad software (ver.
5.01) was used for statistical calculations, and one-way repeated-measures
analysis of variance followed by the Tukey-Kramer multiple comparison method
53
was used to evaluate differences in values among the groups. A P-value < 0.05 was
considered to indicate statistical significance.
Results
Subpopulations of Peripheral Leukocytes and Blood Biochimistry Profile
The number of CD-positive cells is shown in Figures 2.1 and 2.2. Compared to
the value on the predose day and the control value on the same day, increased
(P<0.05) numbers of CD3+ T cells (CD3+ CD45R+/CD45R–), WC1+ γδ T cells and
CD282+ monocytes were noted in the treatment group on day 7. The values
remained higher on day 14; however, the difference was not statistically
significant. Compared to the value on the predose day, CD8+ T cells were
increased (P<0.05) in the treatment group on day 7. Compared to the control value
on the same day, the CD4+ T cell subset was also increased (P<0.05) in the
treatment group on day 7. The values of CD3+, CD4+ and CD8+ cell subsets
decreased slightly from day 7 to day 14, and the differences were not statistically
significant on day 14. Discrete analysis of data indicated that the numbers of
CD45R+ and CD45R– T cells were increased (P<0.05) in the CD3+ cells in the
treatment group. However, the values were increased (P<0.05) only in the number
of CD4+CD45R+ and CD8+CD45R+ T cells on day 7 compared to the values on the
predose day and/or the control; they were not significantly different among the
groups on day 14 (Table 2.3). The numbers of CD14+ and CD21+ cells changed
slightly in the treatment group on days 7 and 14, but there was no statistically
significant difference between the treatment and control groups. In this study, the
54
blood serum total protein (sTP), albumin (ALB), blood urea nitrogen (BUN), non-
esterified fatty acids (NEFA), total cholesterol (T-chol) and glucose (Glu)
concentrations were measured. However, the values were not significant among
the BP treated and control groups (Table 2.4).
Messenger RNA Expression of Cytokines
Expression of IL-6 and IFN-γ mRNA was increased slightly in the treatment
group on day 7 compared to the control, and the values were increased (P<0.05) on
day 14 compared to the predose day (Figure 2.3). Expression of IL-8 mRNA was
similar between the treatment and control groups on days 7 and 14. Expression of
tumor necrosis factor-alpha (TNF-α) was slightly higher on days 7 and 14 in the
treatment group, but the differences were not statistically significant (P=0.07)
between the treatment and control groups.
Discussion
Certain BPs have been suggested to have immune-stimulating properties in
pre-weaned calves and adult cattle [57, 61, 92]. In the present study, TLR2 (D282)
cell surface molecule antibody was used as a marker to distinguish monocytes in
peripheral blood of healthy weaned calves receiving BP and a control group. Thus,
in addition to TLR2+ cells, the numbers of CD3+ T cells, CD4+, CD8+ and WC1+ γδ
T cell subsets and CD14+ and CD21+ cells were evaluated. Likewise, the
expression of cytokine mRNA, such as IL-6, IL-8, INF-γ and TNF-α, was examined
to assess the possible immune-stimulating effects of the BP on the activation of
peripheral leukocytes.
55
In a previous study, the number of CD4+ cells was higher after repeated
administration of a BP consisting of C. butyricum strain Miyairi in dairy cows [61].
In another study, CD8+ cells were stimulated in the peripheral blood of pre-
weaned calves by administration of a BP [92]. Furthermore, a number of in vitro
and in vivo studies on human PBMCs have suggested that a BP containing
E. faecium, C. butyricum or Lactobacillus subspecies shows enhancing effects on T
cell subsets and monocytes [52, 142]. In young mammals, most CD3+, CD4+ and
CD8+ cells express the high-molecular-weight isoform of CD45R, and an increase
in the number of T lymphocytes expressing CD45R facilitates regular activation of
T cells [37]. In the present study, the increase in the number of CD3+CD45R+ T
cells in the treatment group, compared to the predose day or control, may indicate
a nonspecific, but enhanced immune state with possibly multiple causes after the
5-day repeated administration of the BP. Similar to CD3+ cells, increased numbers
of CD4+CD45R+ and CD8+CD45R+ T cells were observed. They may be involved in
immune system responses, along with direct or indirect immune-stimulatory
effects of the BP in the calves, as suggested by previous studies in cattle [29, 61,
92].
CD3+ T cells alternatively indicating stimulation of a high proportion of γδ T
cells, which may have been derived from the WC1– γδ T cells, the minor population
which is found in bovine PBMC [73, 98, 105]. Previous studies on bovine immune
markers reported that CD4+ and CD8+ cells are slacken below adult levels from 1
to 120 days of age, and γδ T cells are highest at birth and decreased to adult levels
by 150 days of age in cattle [94]. The WC1 molecule is a member of the scavenger
56
receptor cysteine-rich (SRCR) family found on γδ T cells, which are negative for
CD4 and CD8 [136]. Furthermore, WC1+ γδ T cells of cattle represent the
inflammatory population, whereas WC1– γδ T cells are regulatory cells [99]. In
cattle, the regulatory potential of WC1+ γδ T cell subsets is comparable to that of
CD14+ cells [50], and the WC1+ T cell subpopulation is larger in calves [4]. Wang
et al. [136] was reported that WC1 phosphorylation have been required for the
WC1– mediated T cell proliferation, suggesting a role for WC1+ γδ T cells as a co-
stimulatory molecule similar to CD4 or CD8 cells. Study on calves WC1+ γδ T cells,
using monoclonal antibodies, have been suggested that the presence of these cells
is associated with development of a T helper 1 -biased acquired immune response
[4, 105]. These observations allow speculation regarding a possible role for WC1+
γδ T cells as a link between the innate and acquired immune systems [98].
Furthermore, bovine γδ lymphocyte subsets are activated indirectly through
cytokines secreted by T cells, antigen-presenting cells (APCs) and other accessory
cells [94]. As our results show, the higher number of WC1+ γδ T cells in the calves
receiving the BP was associated with an increased number of CD4+ cells, which
might suggest stimulation of cellular immunity in the calves. Although WC1+ γδ T
cells and CD14+ cells are generated comparably in bovines [50], we found that
there were more WC1+ T cells than CD14+ cells. On the other hand, WC1+ cells are
immune suppressors, secreting IFN-γ in bovines [50, 105], consistent with our
results.
TLR2 is a key molecule in host defense against gram-positive bacteria [13].
The expression of TLRs has been correlated with the population of total bacteria
57
and LAB in the GIT, including the rumen of calves, during the first 6 months of
life [76]. Moreover, the expression of TLR2 was evident on bovine antigen
presenting cells with high level expression on peripheral blood monocytes and
monocyte-derived macrophages [63]. The TLR2 cell surface molecule on bovine
monocyte-derived dendritic cells (DCs) and GIT macrophages is most responsible
for recognition of gram-positive bacteria [13, 39, 40]. Recently it was reported that
rumen and intestinal epithelial cells, and macrophages express TLR2 cell-surface
molecule as responsible for the recognition of gram-positive bacteria form that
investigated the over-activation of innate immunity [13, 112, 39]. It was reported
that TLR2 have been necessary for the development of acquired immune
responses against a variety of bacterial species [9, 35]. Furthermore, the
monocyte-derived DCs, which are positive to TLRs, are suggested to play a key
role in the mechanism of BP immunomodulation. DCs are the most potent APCs
that are primed by BP, and they are the principal stimulators of naïve T cells to
drive further immune responses [52]. Even small molecules (for example, long-
chain fatty acids) that can be generated by de novo synthesis or consumed in the
diet are known to might modulate the TLR2 activation [9]. Mechanisms indicating
a direct role of TLR2 include bacterial reorganization by epithelial macrophages in
calves [77]. The transcytosis processing of bacterial particles via ileal Peyer’s
patch M cells and the later appearance of TLRs on DCs in the lamina propria play
a key role in the mechanism of BP immunomodulation [34, 67, 76, 82]. Thus, DCs
are the principal stimulators of T cells [34, 52]. The TLR signaling pathway is
involved with the actions of a BP containing C. butyricum, and the absence of
58
TLR2 expression might indicate the need for TLR2 in the recognition of
Clostridium bacteria [39, 40]. In the present study, we provide evidence for an
increased number of TLR2+ monocytes in the peripheral blood of calves receiving a
BP consisting of three species of gram-positive bacteria, including C. butyricum.
The increased number of peripheral monocytes expressing TLR2 might be
associated with the formal reaction of innate immunity in response to increasing
and changing bacterial diversity in the GIT microbiota of calves receiving the BP.
As data in the first chapter showed, weaned calves given the BP had an invariable
ruminal pH compared to the controls. It was also reported that a significant
increase in ruminal pH was correlated with increasing taxonomic units of
Clostridia in the GIT of cattle [70]. Therefore, improved diversity and bacterial
immigration might affect intestinal bacterial populations. However, the intestinal
microbiota was not evaluated in the present study. The CD14 cell surface molecule
is essential for the response to most Gram-negative bacteria, including
lipopolysaccharides, via the TLR4 and MD2 complex [86, 113]. The TLR2 molecule
recognizes microbial-associated molecule patterns independently [13, 34].
Although in this study some differences were noted between the different
antibodies assessed the expression of TLR2 and CD14+ monocytes in bovine [63].
Moreover, TLR2 is expressed on peripheral blood B lymphocytes [20]; however, a B
cell receptor complex including the CD21 molecule is present on mature B cells
and also ileal Peyer’s patch-derived B lymphocytes in healthy calves [89]. Similar
to these reports, the numbers of CD14+ and CD21+ B cells in the present study
were slightly increased in the calves on days 7 and 14. Furthermore, independent
59
IL-6 secretion via TLR2+ was reported [35]. In this study increased number of
TLR2+ cells were correlated with a higher expression of IL-6 in BP treated calves.
The BPs including Lactobacillus and C. butyricum induce the release of
proinflammatory cytokines, such as IL-6 and TNF-α, which are involved in
nonspecific immune responses [39, 40]. A BP consisting of E. faecium and C.
butyricum upregulates the level of IFN-γ and downregulates TNF-α in the
supernatant of human PBMCs [52]. In our study, increased expression of IL-6,
INF-γ and TNF-α mRNA was observed in the treatment group on days 7 and 14.
Increased expression of IL-6, IFN-γ and TNF-α in peripheral leukocytes may be
dependent on the period after administration and numbers of activated
T lymphocytes or monocytes in the treatment group. The explanation for higher
expression of IL-6 and INF-γ in BP treated calves could be due reactions of
immune cells to rate of presence of BP. Our observations are similar to those of
Waldvogel et al. [134], in which increased expression of IFN-γ was observed only 2
weeks after trickle stimulation of cultured PBMCs of calves. Expression of IL-8 is
related to neutrophil function, and inflammatory stimulation, in bovine [6]. In the
present study, the expression of IL-8 was unchanged compared to the predose day
and the control value on the same day, likely because the calves were healthy.
These results suggest that peripheral leukocytes in healthy calves may be stimulated via the
GIT microbiota, which was increased by the oral BP treatment, with overall stability of the
ruminal microbiota. The 5-day administration of a BP may enhance cellular immune function
in weaned calves.
60
Table 2.1. Monoclonal antibodies used for flow cytometry assay
TcR, T cell receptor; PTPR, protein tyrosine phosphatase receptor; LPS,
lipopolysaccharide; CR2, complement component receptor 2; TLR2, tool-like receptor 2.
Items Target molecule Specificity mAb clone Isotype Supplier
CD3 TcR complex pan-T cells MM1A IgG1 VMRD
CD4 CD4 molecule T-helper cells CACT183A IgG1 VMRD
CD8 CD8β cytotoxic T cells BAT82A IgG1 VMRD
CD45R PTPR pan-leukocytes GC6A IgM VMRD
WC1 Unknown γδ T cells IL-A29 IgG1 VMRD
CD14 LPS receptor monocytes, macrophages CAM36A IgM VMRD
CD21 CR2 B cells BAQ15A IgG1 VMRD
CD282 TLR2 monocytes HCA151F IgG1 AbD-Serotec
61
Table 2.2. Primers used for real-time PCR
Gene
Gen Bank
access. no.
Sequence (5'–3')
Annealing
Temp (°C)
Concentration
(nM)
β-actin
AY141970
F: GGCCGAGCGGAAATCG
R: GCCATCTCCTGCTCGAAGTC
65
750
IL-6 NM173923 F: GTCTTCAAACGAGTGGGTAAAG
R: TGACCAGAGGAGGGAATGC
65 250
IL-8 NM173925 F: CACTGTGAAAATTCAGAAATCATTGTTA
R: CTTCACAAATACCTGCACAACCTTC
59 250
TNF-α Z48808 F: CGGTGGTGGGACTCGTATG
R: GCTGGTTGTCTTCCAGCTTCA
65 750
IFN-γ NM174086 F: TAGGCAAGTCTATGGGATTTC
R: GCATTCATTACATCATCAAGTG
59 250
62
Figure 2.1. Number of CD3, CD4, CD8, CD14, CD21 and WC1+ cells in the
peripheral blood of treatment (calves given 3.0 g/100 kg BW of bacterial
probiotic once daily for 5 days) and control (calves given the vehicle alone
without probiotic) groups. Numbers were counted at predose (Pre) and on days
7 and 14. Values represent means ± SE (n=8). * Values in the treatment group
compared to the predose day in the same group (P<0.05). # Values compared
to the control on the same day (P<0.05). The first administration day of the
probiotic was deemed day 1.
63
Figure 2.2. Number of TLR2+ (CD282) cells in the peripheral blood of
treatment (calve given 3.0 g/100 kg BW of bacterial probiotic once daily
for 5 days) and control (calves given the vehicle alone without bacterial
probiotic) groups. Numbers were counted at predose (Pre) and on days
7 and 14. Values represent means ± SE (n=8). * Values in the
treatment group compared to the predose day in the same group
(P<0.05). # Values compared to the control on the same day (P<0.05).
The first administration day of the probiotic was deemed day 1.
44
Table 2.3. Numbers of the peripheral blood mononuclear cell (PBMC) and CD3+, CD4
+ and CD8
+ (CD45R
+/CD45R
–) T cells
(cell/µl) in bacterial probiotic-treated and control calves
Within a row, values represent the means ± SE (n=8). a) Calves received 3.0 g/100 kg of probiotic for 5 consecutive days,
and additional calves given the vehicle alone served as the control. b) Predose day (day before administration). *
Compared to the predose (Pre) values in the same group (P<0.05). # Compared to the values in the control on the same
day (P<0.05).
Treatmenta)
Control
Preb)
Day 7 Day 14 Pre Day 7 Day 14
PBMC 5,283 ± 193 6,323 ± 318 5,650 ± 260 4,836 ± 346 4,467 ± 415 5,303 ± 513
CD3+CD45R
– 1,425 ± 117 2,199 ± 123*# 1,940 ± 136 1,321 ± 157 1,431 ± 206 1,777 ± 202
CD3+CD45R
+ 727 ± 60 1142 ± 158*# 998 ± 82 668 ± 92 729 ± 76 857 ± 106
CD4+CD45R
– 191 ± 47 315 ± 44 244 ± 52 201 ± 35 171 ± 37 228 ± 42
CD4+CD45R
+ 326 ± 62 625 ± 79*# 394 ± 39 328 ± 47 305 ± 59 333 ± 49
CD8+CD45R
– 53 ± 80 77 ± 10 65 ± 12 68 ± 13 65 ± 28 69 ± 13
CD8+CD45R
+ 209 ± 41 526 ± 89* 340 ± 41 207 ± 28 304 ± 84 280 ± 43
64
45
Table 2.4. Blood biochemistry profile in the healthy probiotic-treated and control calves
Within a row, values represent the means ± SE (n=8). a) Calves received 3.0g/100 kg of bacterial probiotic for 5
consecutive days, and additional calves given the vehicle alone served as the control. b) Predose day (day before
administration). sTP, serum total protein; ALB, albumin; BUN, blood urea nitrogen, NEFA, non-esterified
fatty acids; T-chol, total cholesterol; Glu; glucose.
Item
Treatment a)
Control
Pre b)
Day 7 Day 14
Pre Day 7 Day 14
sTP ( g/dl ) 6.9 ± 1.2 7.0 ± 1.5 7.3 ± 1.1 7.1 ± 0.2 7.1 ± 1.0 7.1 ± 1.2
Alb ( g/dl ) 3.5 ± 0.1 3.4 ± 0.2 3.4 ± 0.1 3.5 ± 0.1 3.4 ± 0.3 3.4 ± 0.1
BUN (mg/dl) 12.5 ± 0.2 11.3 ± 0.5 12 ± 0.2 10.5 ± 0.4 13.1 ± 0.5 13.4 ± 1.0
NEFA (µEq/l) 229 ± 3.1 155 ± 1.7 202 ± 2.0 218 ± 2.1 130 ± 1.8 168 ± 2.0
T-Chol (mg/dl) 77 ± 2.0 77 ± 1.4 74 ± 1.2 79 ± 1.1 74 ± 1.0 75 ± 1.4
Glu (mg/dl) 82 ± 2.4 81.1 ± 2.0 82.3 ± 2.5 78.0 ± 3.1 70.0 ± 1.4 80.4 ± 2.1
65
66
Figure 2.3. Relative mRNA expressions of IL-6, IL-8, IFN-γ and TNF-α in
peripheral leukocytes of treatment (calves given 3.0 g/100 kg BW of bacterial
probiotic once daily for 5 days) and control (calves given the vehicle alone
without bacterial probiotic) groups. Expression was measured at predose
(Pre) and on days 7 and 14. Values represent means ± SE (n=8). * Values in
the treatment group compared to the predose day in the same group
(P<0.05). The first administration day of the probiotic was deemed day 1.
67
Chapter III
Study on the Effects of a Bacterial Probiotic on Subpopulations of
Peripheral Leukocytes and Their Cytokine mRNA Expression Levels
in Scouring Holstein Calves
Introduction
Calves are born with a naive immune system, and appropriate development
of the gastrointestinal tract (GIT) microbiota in the early weeks of life is crucial
for a functional immune system [76, 93, 145]. GIT diseases are characterized by
acute intestinal inflammation, much of which is thought to be due to
inappropriate activation of the immune system in calves [57, 66]. Greater
vulnerability to invasive infections and the development of GIT disorders, such as
scouring, are associated with the immaturity of the immune system of calves at
birth, although the specific mechanism is unclear. Regulation by the immune-
stimulatory effects of bacterial probiotics (BPs) may contribute to the treatment of
scouring in calves [92]. BPs contributes to the homeostasis of GIT microbiota,
improving animal health and protecting calves against infection [122, 126]. LAB
probiotics are known to help with GIT colonization via the competitive exclusion of
undesirable microorganisms and the development of a homeostatic GIT
environment in calves [1, 46, 57]. LAB probiotics are also known to have a
beneficial impact on intestinal infections and are commonly used to treat calf
scouring [1, 58]. More recently, in vivo studies have examined their immune-
stimulatory effects in calves [92, 122, 126]. In cases of inadequate initial bacterial
colonization, BP can be used to achieve a balanced immune response [56].
68
Therefore, the immune-modulating effect of BP is likely more appropriate for
young calves, when the intestinal bacterial inhabitants are less well-established.
The phagocytic activities of leukocytes have been reported to be increased in the
peripheral blood of calves following the administration of a BP consisting of L.
plantarum [58]. A number of systemic immune markers, including CD8+ cells,
increased in response to treatment with a probiotic in scouring calves [92]. In
adult cattle, the immune-stimulatory effect of a BP containing E. faecium and
Saccharomyces cerevisiae has been recognized in feedlot steers and dairy cows [29,
61]. In the intestine, C. butyricum as a BP may increase the resistance of the gut
to pathogen invasion by inducing the secretion of anti-inflammatory cytokines [40].
The stimuli provided by BP are essential for the development of a fully functional
and balanced immune system, including the homing of B and T cells to the lamina
propria [12]. It has generally been assumed that some BP strains predominantly
induce cytokine mRNA expression in leukocytes, promote T cell development and
augment immune defense to prevent infections, thereby ameliorating
inflammatory diseases [29, 61, 120, 121]. However, the effect of BPs on
subpopulations of peripheral leukocytes in scouring and healthy preweaning
calves is unknown. In the present study, the immune-stimulatory effects of a BP
on perphiral blood mononuclear cells (PBMCs) and their mRNA expression levels
were investigated in scouring and healthy preweaning Holstein calves.
69
Materials and Methods
Animals and Treatment
The experimental design was also approved by the Laboratory Animal Care
and Use Committee of Iwate University, Iwate, Japan. Forty-two scouring and
healthy preweaning Holstein calves (mean age, 10 ± 5 days) housed in two
commercial dairy farms were used in the experiment. All calves were examined
clinically, and the scouring status of each calf was inspected. The scour condition
was watery to muddy yellow, and the physical condation and appetite of the
scouring calves were almost normal (Table 3.1). The calves were assigned to
treatment and corresponding control groups based on the type of scouring
(pathogenic or non-pathogenic) and clinically healthy (non-scouring) status. The
BP treatment groups included scouring pathogen-positive treated (PPT; n=8),
scouring pathogen-negative treated (PNT; n=8) and healthy treated (HT; n=6)
calves. The corresponding control groups included scouring pathogen-positive
control (PPC; n=6) and pathogen-negative control (PNC; n=6) calves, and healthy
control (HC; n=8) calves without BP treatment were used as the main control
group. All calves received colostrum at birth and were fed a milk replacement
twice daily.
Treatment of the calves began on the first day of scour occurrence (day 0).
After a clinical examination and the collection of blood and stool samples, a BP
(Miyarisan Pharmaceutical Co., Ltd., Tokyo, Japan) consisting of L. plantarum
strain 220 (9×106 CFU/g), E. faecium strain 26 (9×105 CFU/g) and C. butyricum
strain Miyari (9×104 CFU/g) was administered to each of the calves in the
70
treatment groups once daily at a dose of 3.0 g/100 kg BW for 5 days. The BP was
mixed with a milk replacement and fed to each calf in the morning. The scouring
calves were not treated by any other medicine or electrolyte therapy, although all
calves had access to fresh water ad libitum.
Blood Collection and PBMC Isolation
Blood samples were collected on days 0 and 7. A blood specimen (6 mL) was
collected in a heparinized tube (BD Vacutainer Systems, Plymouth, UK) and used
to isolate PBMCs for flow cytometric analysis. Blood (4 mL) was collected in two
EDTA tubes (BD Vacutainer; Becton Dickinson, Franklin Lakes, NJ, U.S.A.) and
used for total RNA extraction from peripheral leukocytes and for white blood cell
(WBC) counts. Blood (10 mL) was also collected in a serum separating tube (SST;
BD Vacutainer, Franklin Lakes, NJ, U.S.A.), and used for blood biochemistry
profile measurement. The WBC count was determined using an automatic
hematology analyzer device equipped with software for bovine samples (pocH-
100iV Diff; Sysmex, Kobe, Japan). The percentage of PBMCs was determined
using the hemogram method with the Dif-Quick staining protocol. PBMCs were
isolated as described by Ohtsuka et al. [93]. To lyse red blood cells, 2 mL of the
heparinized blood was mixed with 8 mL of 0.83% ammonium chloride solution.
After 5 min at room temperature, the samples were centrifuged (2,000 rpm, 10
min and 4°C). The PBMs were then purified by washing twice in phosphate-
buffered saline (PBS; pH 7.4) followed by centrifugation (2,000 rpm, 5 min and
4°C). After the final wash, the cell pellet was diluted in 500 μL of PBS, and the
71
cells were counted. The cell concentration was then adjusted to 1×107/mL in PBS,
and the cells were kept at 4°C until they were used for flow cytometry.
Flow cytometry Assay
The primary monoclonal antibodies used in the present study are shown in
Table 2.1. Flow cytometry was performed as described by Ohtsuka et al. [93].
PBMCs were labeled with the primary antibody and incubated for 60 min at 4°C.
CD3+ T cells and each of the CD4+ and CD8+ T cell subsets were additionally
labeled with a monoclonal antibody against CD45R to mark pan-leukocytes. After
incubation, the cells were washed twice to remove unbound antibodies. The
labeled cells were then stained with specific purified IgG conjugated to a
phycoerythrin (PE) polyclonal secondary antibody (goat anti-mouse IgG1 RPE;
AbD Serotec) or fluorescein isothiocyanate (FITC)-conjugated antibody (goat anti-
mouse IgG or IgM FITC; Southern Biotech) and incubated for 30 min at 4°C. After
washing twice, the stained cells were diluted in 500 μL of PBS. Flow cytometry
was performed using a FACScan analyzer (Becton Dickinson) equipped with a
computer running Cell Quest software (Becton Dickinson).
Total RNA Extraction from Leukocytes and cDNA Synthesis
Total RNA was extracted from 1 mL of whole blood leukocytes using the SV
Total RNA Isolation System (Promega). Trace genomic DNA in the crude total
RNA samples was removed by incubation with 4-6 U of DNase I per 100 mg of
total RNA (Ambion) for 30 min at 37°C. The concentration of total RNA was
verified on a 1% agarose gel, and the purity was determined using a NanoDrop
72
ND-1000 spectrophotometer (NanoDrop Technologies, Rockland, DE, U.S.A.).
cDNA was prepared using an oligo(dT) primer and a thermal cycler (MyCycler;
Bio-Rad). cDNA synthesis was performed using the ImProm Reverse Transcription
System (Promega). The cDNA was stored at -80°C until it was used for real-time
PCR.
Real-time PCR Assay
Real-time PCR was performed using an iQ SYBR Green Supermix Kit (Bio-
Rad) as described previously [72]. Specific individual cytokine primer sequences
and the internal standard gene used (β-actin) are shown in Table 2.2.
Amplification was performed using a Mini Opticon (Bio-Rad) thermal cycler with
the following profile: 1 cycle of 95°C for 2 min followed by 45 cycles of 95°C for 30 s,
and 65 or 59°C for 30 sec, and 74°C for 30 s followed by 74°C for 7 min. A melting
curve analysis was performed from 50 to 95°C with readings every 0.5°C (holding
for 5 sec). Relative gene expression was calculated using the comparative
threshold cycle number (2-ΔCt) method, as described by Livak and Schmitge [72].
The results are summarized as ΔCt values, where ΔCt is the difference in the
threshold cycle for the target and β-actin, as an internal control.
Stool Analysis
The common pathogens considered essential for calf scouring in the field were
examined using stool samples from the calves in the scouring groups. On the first
day of scouring, stool samples were obtained from each calf by mechanical
stimulation of the anus and preserved in a sterilized tube. Deoxycholate hydrogen
73
sulfide-lactose agar (Elken Chemical Co., Tokyo, Japan) medium was used for the
recognition of Salmonella and Escherichia coli according to the methods of
Ishihara et al. [54]. The Cryptosporidium parvum test strip BIO K 155 (Bio-X
Diagnostics, Jemelle, Belgium) was used according to the manufacturer’s
instructions with 0.1 g of stool sample and was evaluated visually. For the
detection of coccidia spores, a previously described microscopic method was used
[66]. For rotavirus, a specific test strip (SA Scientific, San Antonio, TX, U.S.A.)
was used following the product use recommendations. Among the scouring calves
diagnosed as pathogen-positive (n=16), the pathogens found were rotavirus 43 %,
coccidian Eimeria bovis and/or Eimeria zuernii 25 %, C. parvum 19 %, E. coli 13 %
and Salmonella 0% (Figure 3.1). Those calves with negative stool tests were
assigned to the non-pathogenic scouring groups, and clinically healthy calves
without scouring were placed in the healthy groups. The scouring status of each
calf was inspected every day. Reduced occurrence of scouring and an improvement
in clinical status were noted in the BP-treated calves on day 7.
Statistical Analysis
The number of CD-positive or -negative cells was calculated from the
percentages of leukocytes gated by flow cytometry and total PBMCs. The values
are expressed as means ± SE. GraphPad Prism ver.5.01 software (La Jolla, CA,
U.S.A.) was used for the statistical calculations and one-way ANOVA, and the
Kruskal-Wallis test was subsequently used to evaluate differences among the
groups. A P-value <0.05 was considered significant.
74
Results
Subpopulations of Peripheral Leukocytes and Blood Biochemistry Profile
Compared with the values of the healthy control (HC) and healthy treated
(HT) groups on day 0, a significantly lower (P<0.05) number of CD3+ T cells; CD4+,
CD8+ and WC1+ γδ T cell subsets; and CD14+ cells were noted in the peripheral
blood of scouring pathogen positive treated (PPT) and pathogen positive control
(PPC) calves. On day 0, the numbers of CD3+ T cells; the CD4+, CD8+ and WC1+ γδ
T cells subsets; and CD14+ cells were lower (P<0.05) in the PPT and PPC groups
than in the other groups. The number of CD21+ cells was similar among the
scouring and healthy groups on day 0 (Figure 3.1). Compared to the HC group,
CD3+ T cells; the CD4+, CD8+ and WC1+ γδ T cell subsets; and CD14+ and CD21+
cells were increased (P<0.05) in the scouring PPT, PNT and PPC groups on day 7.
However, the numbers of CD8+ and CD21+ cells were unchanged in the scouring
PNC group on day 7. The values among the scouring PPT and PPC, and scouring
pathogen negative treated (PNT) and pathogen negative control (PNC) groups
were not significantly different on day 7. Moreover, compared with the values on
day 0 and those of the HC group, an increased (P<0.05) number of CD3+ T cells;
the CD4+, CD8+ and WC1+ γδ T cell subsets; and CD14+ and CD21+ cells were
noted in the HT group on day 7. Compared with the value on day 0, WC1+ γδ T
cells were increased (P<0.05) in the HC group on day 7. Likewise, compared with
the values on day 0, PBMCs were increased (P<0.05) in the scouring PPT, PNT
and HT groups on day 7. A discrete analysis of the data indicated that the
numbers of CD45R+ and CD45R– T cells were increased (P<0.05) in the proportion
75
of CD3+ (CD3+CD45R+/CD45R–) T cells, CD4+ (CD4+CD45R+/CD45R–) and CD8+
(CD8+CD45R+/CD45R–) T cell subsets in the scouring PPT, PNT, PPC and HT
groups on day 7, compared to the values on day 0 in the same group or the HC
group. However, the values were increased (P<0.05) only in the number of CD3+
(CD3+CD45R+) T cells and CD4+ (CD4+CD45R+) T cell subset in the scouring PNC
group on day 7. The values were not significantly different among the scouring
PPT, PNT, PPC and PNC groups (Tables 3.2 – 3.3). Peripheral TLR2+ (CD282)
monocytes were evaluated only in the scouring PPT, PNT, HT and HC groups.
Similar to that of the T cell subpopulations, a significantly lower (P<0.05) number
of peripheral TLR2+ monocytes were noted in the scouring calves on day 0.
However, the number of TLR2+ monocytes was increased (P<0.05) in the scouring
PPT, PNT and HT groups on day 7, compared with the values on day 0 and that of
the HC group (Figure 3.3).
In this study, the serum IgG concentration didn’t measured, however we
examined the serum total protein (TP) and albumin (ALB) concentration in all
grups. The values were not significant among the groups. Furthermore, blood urea
nitrogen (BUN), non-esterified fatty acids (NEFA), total cholesterol (T-chol) and
glucose (Glu) concentrations were measured. The values were not significant
among the groups (Tables 3.4 – 3.5).
Messenger RNA Expression of Cytokines
Compared with the value for the HC calves, the mRNA expression levels of
IL-6 and IFN-γ were lower (P<0.05) in the scouring PPT, PNT, PPC and PNC
groups on day 0. The mRNA expression level of TNF-α was lower (P<0.05) in the
76
scouring PPT and PPC groups, but the values were greater in the scouring PNT,
PNC, HT and HC groups on day 0 (Figure 3.3). IL-6, IFN-γ and TNF-α mRNA
expression was increased (P<0.05) in the PPT, PNT, PPC, PNC and HT groups on
day 7. Furthermore, compared to day 0, the TNF-α mRNA expression level was
higher (P<0.05) in the HC group on day 7. The mRNA expression level of IL-8 was
similar between the scouring and healthy calves on day 0, but was elevated
(P<0.05) in the scouring PPT and PPC groups on day 7. Compared to the HC
group, the expression of IL-8 mRNA was slightly higher in the HT group on day 7,
but the differences were not statistically significant.
Discussion
Some reports have indicated that a BP including LAB reduced the rate of GIT
disorders in calves [1, 92, 122, 126]. Increased intestinal microbiota might
stimulate the gut epithelial and associated lymphoid tissues and may activate
local immune responses in the intestine [67]. It was also suggested that a
decreased number of peripheral leukocytes, including CD8+ and WC1+ γδ T cells,
might result in a high risk of calf scouring [93]. Similarly, a lower number of CD4+
and CD8+ cells and reduced cytokine mRNA expression levels were noted in
neonates with diarrhea, compared with healthy children [38, 137]. In agreement
with a previous report by Ohtsuka et al. [93], the numbers of CD4+, CD8+ and
WC1+ γδ T cell subsets and of CD14+ and TLR2+ cells were significantly lower in
scouring calves in the present study. BPs are known to affect the host immune
system in different ways, such as inducing greater antibody production and
increasing epithelial barrier integrity, the upregulation of cell-mediated
77
immunity, increased TLR signaling, enhanced dendritic cell (DC)-T cell
interactions and heightened T cell associations [25, 57, 61, 110]. The immune-
stimulating properties of a Bacillus-based probiotic were suggested by the increase
in peripheral blood CD8+ cells in scouring calves compared with controls [92].
Furthermore, the number of CD4+ cells increased in response to a BP consisting of
C. butyricum in dairy cows [61]. In a study of calf PBMCs, the phagocytic
activities of leukocytes were increased by a BP consisting of L. plantarum [57]. In
addition, selective effects of a BP including Lactobacillus were reported for T cell
activation, CD8+ cell activity and cytokine production [25]. Most peripheral T cell
subpopulations have expressed CD3 on their surface, which might appear as a
signal-transducing unit for the T cell receptor (TCR) [110]. Similar to study in the
chapter one, the proportion of CD3+CD45R+ T cells was marginally higher in the
systemic circulation of preweaning scouring and HT calves. Alike to previous
reports, a greater presence of CD45R+ T cells might facilitate the regular
activation of T cell subsets in BP-treated calves [92]. In contrast, bovine WC1+ γδ
T cells are known to be immune suppressors and are involved in secreting IFN-γ
[50, 94, 99]. WC1+ γδ T cells can respond to stimulation via the TCR and through
CD3, leading to the induction of IFN-γ expression in these cells [110]. Early
production of IFN-γ by γδ T cells may have a role in linking innate and adaptive
immune responses [99]. Furthermore, bovine γδ T lymphocyte subsets are
activated indirectly through cytokines secreted by T cells, APCs and other
accessory cells [50, 94, 105]. Our results show that the number of WC1+ γδ T cells
were increased in both the scouring and healthy treated groups compared to the
78
controls, and was associated with increased IFN-γ expression. In addition, WC1+
γδ T cells were also greater in number in the healthy control group. This is in
accordance with a previous report, which noted that γδ cell subsets were
significantly larger in fetal and maturing calves than in mature animals [145].
BP including Lactobacillus and C. butyricum induce the releases of IL-6 and
TNF-α, which are involved in nonspecific immune responses [40]. It was
previously reported that preweaning calves given a BP had increased serum IgG
and IFN-γ levels [122]. Furthermore, BP including E. faecium and C. butyricum or
Lactobacillus induced the production of pro- and anti-inflammatory cytokines,
including IL-6, IFN-γ and TNF-α, in human PBMCs [25, 52]. In the present study,
increased IL-6, INF-γ and TNF-α mRNA expression was observed in the scouring
treated, healthy treated and control groups. In contrast, IL-8 mRNA expression
was unchanged, but it was elevated in the scouring groups. Greater expression of
IL-8 is likely related to neutrophil function and inflammatory stimulation in
bovines [6]. Therefore, IL-8 mRNA expression was changed only in scouring
calves, but not in healthy calves. It was reported that TNF-α mRNA expression
was related to age-related changes in intracellular cytokine production [38]. In
the present study, a higher TNF-α mRNA expression level was also noted in the
healthy control calves.
TLR expression is associated with bacterial immune stimulators, including
LAB, in the GIT of calves [77]. In bovines, the expression of TLR2 was obvious
on PACs with a high level expression on peripheral monocytes and GIT
macrophages [57, 63, 76]. Moreover, bovine TLR2 cell surface molecules on
79
monocyte-derived DCs and intestinal macrophages are most responsible for the
recognition of Gram-positive bacteria [11, 26, 57]. In human PBMCs, monocytes
presenting TLRs played an important role in Lactobacillus-induced immunological
responses [25]. Mechanisms indicating a direct role for TLR2 include bacterial
reorganization by epithelial macrophages in calves [77]. However, CD14+ cells are
involved with the TLR4 and MD2 complex, which is essential for the response to
most Gram-negative bacteria [57, 63, 77, 131]. Among BPs, Lactobacillus strains
having a rigid cell wall that is resistant to intracellular digestion and can
stimulate intestinal macrophages presenting TLR2 to secrete a large quantity of
cytokines [120]. In the present study, the numbers of CD14+ and TLR2+ cells were
increased in the scouring and HT calves compared to the controls. A B-cell
receptor complex including CD21 is present on mature B cells and ileal Peyer’s
patch-derived B lymphocytes in young calves [89]. The stimulation of CD21+ cells
is related to intestinal immune stimuli, and BPs are known to trigger naive
plasma cells to become IgA-producing CD21+ B cells [46, 75, 141]. In our study, the
number of CD21+ cells was increased in the scouring and healthy BP-treated
calves on day 7. An interaction between BPs and the host immune system leads to
the interface of intestinal immune cells, such as CD14+ and TLR+ cell
macrophages or DCs and to the release of cytokine stimulators by T and B cells
[26, 34]. The activation and balanced response of T cells is an important
component of the recovery from GIT disease in cattle [77, 141]. BPs contribute to
homeostasis of the intestinal bacterial flora and result in scouring recovery in
young calves [92, 122, 126].
80
In the present study, a BP was administrated to preweaning scouring calves
for 5 days, and stool samples were examined to discover the underlying cause of
scouring. The scouring PPT and PPC or PNT and PNC groups revealed a greater
number of peripheral leukocytes and higher cytokine mRNA expression levels on
day 7, although the immune marker values were slightly higher in the PPT and
PPC groups compared with PNT and PNC groups. Higher immune marker values
on day 7 in the both pathogen-positive and pathogen-negative scouring groups
(PPT and PNT) might be induced by BP administration and scouring causers.
Because calves were in the pre-ruminant stage of life, and the BP was mixed with
milk replacer for 5 consecutive days. Therefore, it was contented that a high
amount of BP might reach to the intestine and affected the intestinal immune
system. Furthermore, the increased numbers of circulating immune cells in HT
group indicated the immune-stimulatory effects of the BP, as suggested by
previous studies [29, 61]. On the other hand, the scouring calves given no BP (PPC
and PNC groups) exhibited greater expression of immune markers on day 7, which
might be associated with the usual reaction of immune system through the GIT
disorders [137]. Recently the effects of a BP was examined on the immune
markers in scouring calve [92], but the scouring etiology was not concerned. In
this study, we examined the stool sample to demonstrate the etiology of scouring
and variations of cellular immune function in both pathogenic and non-pathogenic
scour conditions. However, it was unknown that which pathogen specifically was
related to calf scour. The recovery of scouring in the calves given BP was in
agreement with that in previous reports [1, 46, 58, 92]. In this study, most
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scouring cases examined had a slight to moderate diarrhea, even pathogen
positive calves didn’t show a severe scouring on day 0. The calves were entered to
experiment soon after scouring noted, and were treated by 5-days (d 0-5) repeated
doses of BP. Therefore, a developing condition and scouring recovery was noted in
the treatment groups on day 7. In addition, unlike to the pathogen negative or
healthy groups, a significant reduced number of immune markers in the pathogen
positive groups on day 0, which might support a potential cause for inducement of
pathogenic scouring. The higher immune markers in the scouring pathogen-
positive calves on day 7 might be due to a natural reaction of immune system in
response to the scour cases. From these findings, BP administration to the
scouring calves might be effective in both pathogen-positive and pathogen-
negative cases. In this study, serum IgG was not analyzed. However, it was
previously suggested that the serum IgG concentration was increased by BP
administration in preweaning calves [126]. As calf scour is related with the
various GIT disorders, the cellular immunity reaction is thought to be most
important for recovery or prevention of scouring. This is concluded that a
significantly smaller number of peripheral leukocytes and decreased cytokine
mRNA expression level might induce by scouring. Repeated administration of a
BP might stimulate cellular immune function and encourage the recovery of
scouring in preweaning Holstein calves.
66
Table 3.1. Scouring and healthy Holstein preweaning calves used in this study
a) Days, mean ± SD; b) Physical condition and appetite of all calves were almost good. PPT, pathogen positive treated; PNT,
pathogen negative treated; PPC, pathogen positive control; PNC, pathogen negative control; HT, healthy treated; HC,
healthy control.
Holstein calves
Clinical Status
Groups
No.
Age a)
Sex
Treatment
(days)
Recovery
(days) Male Female Scour condition b)
PPT n=8 12 ± 5 n=7 n=1
Watery-moderate (n=2), mucosal
(n=1) and muddy diarrhea (n=3)
5 ≤ 7
PNT n=6 15 ± 1 n=5 n=1
Watery-moderate (n=4) and muddy
diarrhea (n=2)
5 < 5
PPC n=8 12 ± 3 n=6 n=2
Watery-moderate (n=5) and mucosal
Diarrhea (n=3)
0 > 7
PNC n=6 10 ± 5 n=6 n=0
Moderate diarrhea (n=6) 0 5
HT n=6 8 ± 3 n=6 n=0
Normal 5 __
HC n=8 10 ± 6 n=8 n=0 Normal 0 __
82
82
83
Figure 3.1. Number of CD3, CD4, CD8, CD14, CD21, and WC1 cells in the
peripheral blood of scouring pathogen positive treated (PPT; n=8), pathogen-
negative treated (PNT; n=6), and healthy calves healthy treated (HT; n=6)
preweaning calves. Each calf in treatment groups given 3.0 g/100 kg BW of probiotic
once daily for 5 days. Scouring pathogen-positive control (PPC; n=8), pathogen-
negative control (PNC; n=6), and healthy control (HC; n=8) calves without probiotic
were served as control groups. Values represented the means ± SE. * Compared to
day 0 in the same group, # Compared to the HC group (P<0.05). The first day
scouring occurrence, and probiotic treatment was deemed day 1.
84
Figure 3.2. Number of TLR2 (CD282) cells in the peripheral blood of scouring
pathogen positive treated (PPT; n=8), pathogen-negative treated (PNT; n=6),
and healthy treated (HT; n=6) preweaning calves. Each calf in treatment
groups given 3.0 g/100 kg BW of probiotic once daily for 5 days. Healthy
control (HC; n=8) calves without probiotic were served as control group.
Values represented the means ± standard errors. * Compared to day 0 in the
same group, # Compared to the HC group (P<0.05). The first day scouring
occurrence, and probiotic treatment was deemed day 1.
83
Table 3.2. The numbers of peripheral blood mononuclear cell (PBMC) and CD3+, CD4+ and CD8+ (CD45R– / CD45R+) T cells (cell/µl) in
the scouring probiotic-treated and scouring control calves
Within a row, values represent the means ± SE. a) pathogen negative treated (n=6); b) pathogen positive control (n=8); c) pathogen
negative treated (n=6); d) pathogen negative control (n=8). * Compared to day 0 in the same group (P<0.01). # Compared to the values
in the control groups (P<0.05).
PPTa)
PPCb)
PNTc) PNC
d)
Day 0 Day 7 Day 0 Day 7 Day 0 Day 7 Day 0 Day 7
PBMC 3822 ± 313 5947 ± 554* 4231 ± 430 5658 ± 952* 4140 ± 422 5610 ± 393* 4427 ± 495 5126 ± 425
CD3+CD45R– 1064 ± 85 2342 ± 282* 1088 ± 103 2656 ± 565* 1375 ± 127 2228 ± 268* 1185 ± 79 2558 ± 401*
CD3+CD45R+ 564 ± 27 1394 ± 150* 361 ± 28 1305 ± 288* 552 ± 60 1419 ± 131*# 678 ± 85 968 ± 160*
CD4+CD45R– 73 ± 14 320 ± 47* 133 ± 18 377 ± 53* 155 ± 41 205 ± 25* 111 ± 17 287 ± 75*
CD4+CD45R+ 264 ± 23 963 ± 151* 177 ± 29 978 ± 144* 344 ± 63 1049 ± 130*# 450 ± 98 654 ± 58*
CD8+CD45R– 80 ± 43 201 ± 22* 67 ± 15 284 ± 41* 44 ± 12 113 ± 32* 58 ± 7.0 96 ± 15
CD8+CD45R+ 204 ± 16 710 ± 142*# 238 ± 41 409 ± 73* 328 ± 46 505 ± 52*# 290 ± 51 305 ± 60
85
86
Table 3.3. The numbers of peripheral blood mononuclear cell (PBMC) and CD3+,
CD4+ and CD8+ (CD45R– / CD45R+) T cells (cell/µl) in healthy probiotic-treated
and healthy control calves
Within a row, values represent the means ± SE, a) healthy treated calves
(received 3.0 g/100 kg of probiotic for 5 days; n=6); b) healthy control calves
without treatment (n=8). *Compared to day 0 in the same group (P<0.01).
# Compared to healthy control on the same day (P<0.05).
HTa)
HCb)
Day 0 Day 7
Day 0 Day 7
PBMC 3808 ± 258 7218 ± 365*
4500 ± 238 5148 ± 476
CD3+CD45R– 1498 ± 98 2003 ± 491*
1621 ± 116 1725 ± 198
CD3+CD45R+ 1042 ± 45 1815 ±
105*#
979 ± 71 1114 ± 152
CD4+CD45R– 108 ± 21 284 ± 22*
128 ± 34 219 ± 51
CD4+CD45R+ 501 ± 71 1307 ± 96*#
482 ± 81 439 ± 81
CD8+CD45R– 50 ± 7.5 101 ± 14*
52 ± 12 68 ± 11
CD8+CD45R+ 421 ± 22 693 ± 66*
409 ± 50 502 ± 70
87
Figure 3.3. Relative mRNA expression of IL-6, IL-8, TNF-α, and IFN-γ in the
peripheral blood of scouring pathogen positive treated (PPT; n=8), pathogen-
negative treated (PNT; n=6), and healthy treated (HT; n=6) preweaning calves. Each
calf in treatment groups given 3.0 g/100 kg BW of probiotic once daily for 5 days.
Scouring pathogen-positive control (PPC; n=8), pathogen-negative control (PNC;
n=6), and healthy control (HC; n=8) calves without probiotic were served as control
groups. Values represent the means ± SE.* Compared to day 0 in the same group, # Compared to the HC group (P<0.05). The first day scouring occurrence and
probiotic treatment was deemed day 1.
86
Table 3.4. Blood biochemistry profile in scouring probiotic-treated and scouring control calves
Within a row, values represent the means ± SE. a) pathogen negative treated (n=6); b) pathogen positive control (n=8); c)
pathogen negative treated (n=6); d) pathogen negative control (n=8). sTP, serum total protein; ALB, albumin; BUN,
blood urea nitrogen, NEFA, non-esterified fatty acids; T-chol, total cholesterol; Glu, glucose.
Item
PPT a) PPC b) PNT c) PNC d)
Day 0 Day 7 Day 0 Day 7 Day 0 Day 7 Day 0 Day 7
sTP ( g/d ) 6.1 ± 0.1 5.5 ± 0.2 6.0 ± 01 5.2 ± 0.5 5.6 ± 0.2 5.3 ± 0.1 5.4 ± 0.1 6.0 ± 0.1
ALB ( g/d ) 3.1 ± 0.1 3.1 ± 0.2 3.2 ± 0.1 2.8 ± 0.3 3.3 ± 0.1 3.2 ± 0.1 3.1 ± 0.1 3.3 ± 0.1
BUN (mg/dl) 11.2 ± 1.8 10.2 ± 1.6 10.6 ± 0.6 8.5 ± 1.0 11 ± 0.1 9.5 ± 0.5 11.2 ± 1.0 10.2 ± 0.3
NEFA (µEq/l) 311 ±11.9 242 ± 5.6 188 ± 17 149 ± 22 200 ± 9.2 194 ± 7.6 263 ± 4.0 225 ± 11.0
T-chol (mg/dl) 60 ± 7.8 57.8 ± 7.6 56 ± 5.4 73 ± 9.0 69 ± 6.6 57 ± 4.5 80 ± 2.4 79 ± 6.7
Glu (mmol/l) 112 ± 4.0 96.2 ± 3.4 92 ± 3.2 86 ± 12 103 ± 2.0 101± 3.2 923 ± 4.8 94 ± 2.7
88
89
Table 3.5. Blood biochemistry profile in healthy probiotic treated and control calves
With a row, values represent the means ± SE. a) healthy treated calves (n=8); b)
healthy control calves (n=8). sTP, serum total protein; ALB, albumin; BUN,
blood urea nitrogen, NEFA, non-esterified fatty acids; T-chol, total cholesterol;
Glu; glucose
Item
HT a) HC b)
Day 0 Day 7 Day 0 Day 7
sTP ( g/d ) 5.2 ± 0.1 4.0 ± 0.1
5.7 ± 0.2
5.6 ± 0.2
ALB ( g/d ) 3.2 ± 0.1 2.5 ± 0.5
3.0 ± 0.1
3.1 ± 0.1
BUN (mg/dl) 10.1 ± 1.0 10.7 ± 1.4
10.2 ± 1.0
8.8 ± 0.7
NEFA (µEq/l) 249 ± 3.7 245 ± 1.7
141 ± 2.2
159 ± 4.1
T-chol (mg/dl) 80 ± 1.3 70 ± 1.7
74 ± 1.2
93 ± 1.7
Glu (mmol/l) 116 ± 3.0 79 ± 1.6
138 ± 4.1
115 ± 6.5
90
Summary and Conclusions
Probiotic originally refers to the microorganisms that have beneficial effects
on their hosts. The effects of viable bacterial probiotics (BPs) in ruminants are
involved in increased ruminal performance and animal health. It is known that
BPs are induce their beneficial effects by improvement of the host gastrointestinal
tract (GIT) microbiota. BPs contributes the host intestinal microbiota balance, as
useful biological factors, resulting in the development of the host immune system.
Lactic acid bacteria (LAB) are commonly used BPs in ruminants. Most LABs used
for ruminants as probiotic are the animal origin organisms, and therefore such
microbial products increase the animal health and growth. A repeated oral
administration of LAB probiotics is a best solution for promoting decreases in the
GIT microbiota of newborn calves. For the recent years, several studies have
revelaed the usefulness of BPs on development of local and systemic immune
system in calves. However, the interaction mechanism between BPs and the host
immune system is not fully understood in ruminants. In newborn calves, a
decrease in the number of GIT microbiota and frail immune system is almost
related with GIT disorders. In contrast, a balanced GIT microbiota promotes
animal growth, stimulates the host immune system and decreases GIT disorders
in newborn calves. PBs have been used for the treatment of calf scouring, and the
studies on this treatment have revealted encouraging results. Therefore, BP
therapy with demonstrated health effects is a novel approach of probiotic research
in ruminants. A certain BPs are reported to develop the ruminal performance and
animal health, however, very few information on the effects of a multi-strain BP
91
on the ruminal components and also cellular immune function is available in
calves.
In the first chapter, to confirm the effects of a BP on ruminal components and
to evaluate changes in the number of bacteria consisting in the BP product in the
rumen, ruminal properties of weaned calves were studied. Twelve ruminally
cannulated Holstein calves (age, 12 ± 3 weeks) were adapted to a standard diet for
1 week, and then the BP consisting of L. plantarum, E. faecium and C. butyricum
was given once daily for 5 consecutive days (day 1–5) at 1.5 or 3.0 g/100 kg BW to
groups of four calves each. Four additional calves fed the standard diet without BP
served as the corresponding control. Ruminal pH was measured continuously
throughout the 15-day experimental period. Ruminal fluid was collected via a
fistula at a defined time predose and on days 7 and 14 to assess volatile fatty acids
(VFA), lactic acid (LA) and NH3-N concentrations, as well as the rumen bacterial
communities were evaluated by real-time PCR and terminal-restriction-fragment
length polymorphism (T-RFLP) methods. The BP at either dose improved the
reduced 24-hr mean ruminal pH (6.6 – 6.8) in calves. The circadian patterns of the
1-h mean ruminal pH were identical between the BP doses. In both BP-treated
groups, ruminal LA concentrations remained significantly lower than that of the
control. BP did not affect ruminal VFA concentrations. Bacteria consisting in the
BP product were not detected in the rumen of calves, however other predominate
rumen bacteria remained stable. These results suggest that calves given a BP had
invariable ruminal pH levels, presumably due to the effects of the BP treatment
on stabilizing rumen-predominant bacteria, consuming LA in the rumen.
92
In the second chapter, to comprehends the effects of the BP on the immune
function in calves, changes in the number of peripheral leukocytes, including CD3+
T cells, CD4+, CD8+ and WC1+ T cell subsets, and TLR2+, CD14+ and CD21+ cells
were examined. Furthermore, mRNA expression of cytokines such as IL-6, IL-8,
TNF-α and INF-γ of peripheral leukocytes were evaluated. The BP consisting of L.
plantarum, E. faecium, and C. butyricum was administered orally at 3.0 g/100 kg
BW to healthy weaned Holstein calves (mean age, 10±3 weeks) once daily for 5
consecutive days. Calves given the vehicle alone with no BP served as the control.
In the treatment group, increases in numbers of TLR2+ monocytes, CD3+ T cells
and CD4+, CD8+ and WC1+ γδ T cells were noted on day 7 post-placement
compared to predose day and the control group. Expression of IL-6, INF-γ and
TNF-α was elevated in peripheral leukocytes on days 7 and 14. The results of this
study suggest that peripheral blood leukocytes in healthy weaned calves may be
stimulated via the GIT microbiota, which was increased by the oral BP treatment,
with overall stability of the ruminal microbiota.
In the third chapter, the study was designed to examine the immune-
stimulatory and scouring therapeutic effects of the BP agent in the preweaning
scouring and healthy calves in the field. Similar to the first chapter, changes in
the numbers of peripheral leukocytes and their cytokine mRNA expression were
evaluated. Preweaning Holstein calves (mean age, 10 ± 5 days, n=42) were
assigned to the scouring and healthy BP treated and the control groups. Each
group was subdivided into pathogen-positive treated (n=8), pathogen-positive
control (n=8), pathogen-negative treated (n=6), pathogen-negative control (n=6),
93
healthy treated (n=6) and healthy control (n=8) groups. A single dose (3.0 g/100 kg
BW) of the BP consisting of L. plantarum, E. faecium and C. butyricum was given
to each calf in the treatment groups for 5 consecutive days. Blood samples were
collected on the first day of scour occurrence (day 0) and on day 7. In the scouring
calves, significantly decrease in peripheral leukocyte subpopulations and cytokine
mRNA expression levels were noted on day 0. The numbers of CD3+ T cells; CD4+,
CD8+ and WC1+ γδ T cell subsets; and CD14+, CD21+ and TLR2+ cells were
significantly increased in the scouring and healthy treated calves on day 7.
Furthermore, IL-6, TNF-α and INF-γ mRNA expression was elevated in the
peripheral leukocytes of the scouring and healthy treated calves on day 7.
Scouring was recovered in calves given the BP on day 7. In this study, it was
concluded that a significantly decreased number of peripheral leukocytes and
lower cytokine mRNA expression level in the scouring calves might be induced by
scouring. However, repeated BP administration might stimulate cellular
immunity and encourage the recovery from scouring in preweaning calves. These
data provides new knowledge on the effects of a BP on the peripheral leukocytes
function in scouring and healthy preweaning Holstein calves.
In general conclusions, healthy weaned Holstein calves revelated invariable
ruminal pH values correlated with the significant lower LA concentrations in BP
treated calves compared to the controls. From the data presented and the previous
studies on the effects of probiotic, it was concluded that the repeated BP treatment
affected ruminal pH due the modulation of the rumen predominant bacteria.
Moreover, it was suggested that the significant lower LA concentration resulted
94
from the increased LA consumption in the rumen due to modulation of the
predominant bacteria after BP treatment in the weaned calves. The invariable
ruminal pH (6.6 – 6.8) is thought to provided a favor environment for the growth
of acid-sensitive bacteria in the rumen. The present studt also provided the
evidence that the BP treatment increased immune markers by effects of the
rumen predominant bacteria in weaned calves. Therefor, it is possible to conclude
that the modulation and colonization of rumen predominant bacteria result in the
stimulation of the cellular immune function in healthy weaned calves (Figure 3),
although the effect of BP on the number of intestinal microbiota is unknown in
this study.
Regarding the effect of the same BP product on the immune markers levels in
preweaning Holstein calves, repeated BPs administration resulted in increased
number of peripheral leukocytes and their cytokine mRNA expression in scouring
pathogen positive, scouring pathogen negative and healthy treated groups
compared with their pre-treatment valuse (day 0) and the the levels of the control
groups. Finally, BP-treatment encouraged scouring recovery in preweaning
Hostein calves. Therfore, the repeated treatment of healthy calves with a 5-day
BP regimen could elevate the levels of reduced cellular immune markers; thereby
reducing the incidence of scouring in young calves.
The results in this study project give an additional knowledge a new insight in
understanding the effects of a multi-strain BP on the ruminal components of
weaned calves. These results would be used to mark the value of BP-treatment for
preventing reduced ruminal pH, which might diminish the incidence of ruminal
95
acidosis in high concentrated feed calves. Studies of the BP effects on the calves’
immune markers provide additional knowledge to understand the interaction
between BP and cellular immune system in the ruminants. Furthermore, the
study on the field preweaning scouring calves provided the evidence that reduce in
the number of peripheral leukocytes might be the cause of scouring in newborn
calves. BP-treatment resulted in scouring recovery through stimulation and
alerted cellular immune faction in preweaning Holstein calves. Therefore, the
course of 5-day repeated BP might reduce decrease in the number of immune
markers and prevent incidence of scouring in newborn healthy calves. Additional
research is needed to determine whether possible linked effects and interaction of
individual bacteria of the multi-strain BP products on the GIT microbial
communities associated to the stimulation of cellular immune function in calves.
96
Figure 3. Schematic of bacterial probiotic effect on the stimulation of immune system
in weaned and pre-weaning calves
97
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Acknowledgments
It is my pleasure to gratefully acknowledge many people who helped me
and made this thesis possible. Here I would like to give my particular
acknowledgment to the most important people during my study time in Japan.
First and foremost, I want to thank my PhD course supervisor Dr. Shigeru
Sato, professor on large animal internal medicine, Department of Veterinary
Medicine, Faculty of Agriculture, Iwate University. It has been an honor to be a
member of his research team during the four years of study time at Iwate
University. I appreciate all his contributions of time, ideas, and funding to
make my PhD possible. The joy and enthusiasm he has for his work was
motivational for me, even during tough winter time in Morioka city, northern
Japan.
I would like to acknowledge my first academic advisor Dr. Norio
Yamagishi, professor on large animal surgery at Iwate University. I thank for
all his educational supports and advance training and laboratory experiment
courses, also I am grateful for the time reviewing my thesis and giving
helpfully comments. I acknowledge and thank my second academic advisor Dr.
Hisashi Inokuma, professor on large animal internal medicine at Obihiro
University of Agriculture and Veterinary Medicine, for his educational supports,
giving advance laboratory experiment courses and the time reviewing my
thesis. I would also like to thank the other two members of my thesis reviewing
and oral defense committee members, Professor Kazuaki Takehara from Tokyo
University of Agriculture and Technology (TUAT) and Professor Yasunori Ohba
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from Gifu University, for their time and insightful questions.
I am grateful to associate professor Keiji Okada who kept our research
team organized and was always ready to help for large animal clinical practice
at Iwate University. I would like to acknowledge the members of my research
team, whom have contributed to my personal and professional time at Iwate
University. The members had a source of friendships as well as good
collaboration. I would like to acknowledge honorary research team member Dr.
Atsushi Kimura, whom is now working with Veterinary Clinical Center of
Morioka Federation of Agricultural Mutual Aid Association (Iwate NOSI,
Japan). I am grateful for the time we worked together at the field on large
animal clinical practice, and I appreciated his enthusiasm, intensity,
willingness to do practical work on large animal clinic, and amazing ability to
cleave and manipulate large animal surgery. Also, I am thankful for Dr.
Kimura and his family for making nice neighborhood time with kind supports
to my family, especially during the 2011 earthquake disaster in north Japan. I
would like to acknowledge other past and present research team members that
I had the pleasure to work with Dr. Takuma Kato, Dr. Satoru Goya, Dr. Akira
Okubo, Dr. Katsunori Nagahama, Dr. Rie Nagata, Dr. Natsuki Otani and Dr.
Kim Yohan. The other veterinary undergraduate students at Iwate University,
who have come through the research at the laboratory of internal medicine, are
a part of my good memory from Iwate. I also acknowledge the technical support
of Professor Kazuhisa Furuhama, Professor Yoshiaki Izaike, Dr. Toshihiro
Ichijo, Dr. Minoru Yatsu, Dr. Kentaro Ikuta, Dr. Chika Seki and Dr. Noriko
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Kobayashi, whom give me excellent comments and make possible my research.
In my past work of research student, I am particularly indebted to
Professor Iwasaki Toshiro, Professor Koji Nishifuji and Dr. Kaouri Ide at
laboratory of small animal internal medicine, TUAT. I am fully appreciated
Professor Iwasaki and his laboratory members for making a great time during
the small animal clinical practice and research at TUAT. I would like to thank
Professor. Kazuyoshi Taya from TUAT for providing supports for making
possible the educational scholarships for Afghan students. I also acknowledge
the funding of the Ministry of Education, Culture, Sport, Science and
Technology of Japan (MEXT), that made my PhD work possible. I would like to
thank Professor Hiroshi Tsunemitsu and Prof. Yukio Yagi at National Institute
of Animal Health (NIAH), and Professor Shigeru Morikawa and Professor
Shuetsu Fukushi, at National Institute of Infectious Diseases in Japan, for
providing useful training programs and kind hospitality in Tsukuba and Tokyo.
My time at Morioka city was made enjoyable in large part due to the
many friends and groups that became a part of my life. I am grateful for the
time spent with roommates and friends, especially for making memorable
Hanami parties. Lastly, I would like to thank my family for all their love and
encouragement. And most of all for my loving, supportive, encouraging, and
patient wife whose faithful support is so appreciated. I am grateful for my
parents who raised me with love and supported me in all my pursuits.
Thank you. Abdul Qadir Qadis
Iwate University - UGSVS
September 30, 2014