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저작자표시-비영리-변경금지 2.0 대한민국 이용자는 아래의 조건을 따르는 경우에 한하여 자유롭게 l 이 저작물을 복제, 배포, 전송, 전시, 공연 및 방송할 수 있습니다. 다음과 같은 조건을 따라야 합니다: l 귀하는, 이 저작물의 재이용이나 배포의 경우, 이 저작물에 적용된 이용허락조건 을 명확하게 나타내어야 합니다. l 저작권자로부터 별도의 허가를 받으면 이러한 조건들은 적용되지 않습니다. 저작권법에 따른 이용자의 권리는 위의 내용에 의하여 영향을 받지 않습니다. 이것은 이용허락규약 ( Legal Code) 을 이해하기 쉽게 요약한 것입니다. Disclaimer 저작자표시. 귀하는 원저작자를 표시하여야 합니다. 비영리. 귀하는 이 저작물을 영리 목적으로 이용할 수 없습니다. 변경금지. 귀하는 이 저작물을 개작, 변형 또는 가공할 수 없습니다.

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Page 1: Effects of alternate day fasting and exercise on …...molecules for cholesterol transport throughout the body14 and can only offer a less comprehensive assessment15. Intracellular

저 시-비 리- 경 지 2.0 한민

는 아래 조건 르는 경 에 한하여 게

l 저 물 복제, 포, 전송, 전시, 공연 송할 수 습니다.

다 과 같 조건 라야 합니다:

l 하는, 저 물 나 포 경 , 저 물에 적 된 허락조건 명확하게 나타내어야 합니다.

l 저 터 허가를 면 러한 조건들 적 되지 않습니다.

저 에 른 리는 내 에 하여 향 지 않습니다.

것 허락규약(Legal Code) 해하 쉽게 약한 것 니다.

Disclaimer

저 시. 하는 원저 를 시하여야 합니다.

비 리. 하는 저 물 리 목적 할 수 없습니다.

경 지. 하는 저 물 개 , 형 또는 가공할 수 없습니다.

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Effects of alternate day fasting

and exercise on cholesterol metabolism

in overweight or obese adults:

a randomized controlled trial

Cho A Ra

Department of Medicine

The Graduate School, Yonsei University

[UCI]I804:11046-000000516992[UCI]I804:11046-000000516992

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Effects of alternate day fasting

and exercise on cholesterol metabolism

in overweight or obese adults:

a randomized controlled trial

Cho A Ra

Department of Medicine

The Graduate School, Yonsei University

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Effects of alternate day fasting

and exercise on cholesterol metabolism

in overweight or obese adults:

a randomized controlled trial

Directed by Professor Lee Ji Won

The Master's Thesis

submitted to the Department of Medicine

the Graduate School of Yonsei University in partial fulfillment of the requirements for the degree

of Master of Medical Science

Cho A Ra

June 2018

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This certifies that the Master's Thesis

of Cho A Ra is approved.

------------------------------------

Thesis Supervisor : Lee Ji Won

------------------------------------

Thesis Committee Member#1 : Jung Dong Hyuk

------------------------------------

Thesis Committee Member#2 : Choi Man Ho

The Graduate School

Yonsei University

June 2018

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ACKNOWLEDGEMENTS

I was able to finish this thesis because of the amazing energy

of my inspiring tutor, Professor Lee. Although, this work was

my first at this level, her kind and touching tutoring gave me

the strength to pull through. I am always learning new things

from her work.

I am also really grateful that I had the chance to work with

Professor Jung and Doctor Choi. Their diligent work resulted

in my own alertness. I thank them for all the great things they

have done.

Thanks to all the members at the Department of Family

Medicine, Severance Hospital. Without their help, this thesis

could not have been completed.

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<TABLE OF CONTENTS>

ABSTRACT ·································································· 1

I. INTRODUCTION ························································· 3

II. METHODS································································ 5

1. Study design ···························································· 5

2. Diet protocol ··························································· 7

3. Exercise protocol ······················································ 7

4. Diet and exercise compliance ········································· 7

5. Outcome measurements ················································ 8

6. Statistical analysis ····················································· 9

III. RESULTS ······························································ 10

IV. DISCUSSION ·························································· 17

V. CONCLUSION ························································· 19

REFERENCES ····························································· 20

ABSTRACT (IN KOREAN) ·············································· 24

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LIST OF FIGURES

Figure 1. Study flow chart of participants ······················ 6

Figure 2. Relationship between changes in weight, calorie

intake, physical activities and metabolic ratios of desmosterol

and 7-dehydrocholesterol to cholesterol ························ 16

LIST OF TABLES

Table 1. Baseline characteristics of study participants ········ 10

Table 2. Changes in body composition, metabolic parameters,

nutrient intake and physical activity after intervention ······· 12

Table 3. Changes in 12 sterol signatures measured by GC-MS

after intervention ·················································· 14

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1

ABSTRACT

Effects of alternate day fasting and exercise on cholesterol metabolism in

overweight or obese adults: a randomized controlled trial

Cho A Ra

Department of Medicine

The Graduate School, Yonsei University

(Directed by Professor Lee Ji Won)

Background: The objective of this randomized controlled trial was to

investigate the effect of ADF and exercise on serum sterol signatures, surrogate

markers of cholesterol absorption and biosynthesis.

Methods: Overweight or obese subjects were randomly assigned to 4 groups: 1)

ADF and exercise (E-ADF); 2) ADF; 3) exercise; 4) control. Thirty one

completers who measured serum sterol signatures using gas chromatography

-mass spectrometry were enrolled in this exploratory analysis.

Results: After intervention, most of serum sterol signatures corresponding for

cholesterol metabolism showed significant differences between groups (p-value

<0.05 by ANCOVA), while there were no differences in plant sterols, markers

of cholesterol absorption. Desmosterol, cholesteryl esters, and oxysterols

decreased significantly in the exercise group. Furthermore, changes in the

metabolic ratios of desmosterol and 7-DHC to cholesterol, which reflect

cholesterol biosynthesis, were negatively correlated only with changes in

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2

physical activity levels (r = -0.411; p-value =0.030, and r = -0.540; p-value

=0.003, respectively).

Conclusion: These findings may indicate that exercise with or without ADF

improves cholesterol metabolism as measured by serum sterol signatures, and

increased physical activity has a greater effect on cholesterol biosynthesis than

weight reduction or calorie restriction.

----------------------------------------------------------------------------------------

Key words: cholesterol metabolism; serum sterols; alternate day fasting;

exercise; obesity

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3

Effects of alternate day fasting and exercise on cholesterol metabolism

in overweight or obese adults: a randomized controlled trial

Cho A Ra

Department of Medicine

The Graduate School, Yonsei University

(Directed by Professor Lee Ji Won)

I. INTRODUCTION

Energy imbalance due to increasing calorie intake and decline in physica l

activity plays a substantial role in causing obesity worldwide1. Obesity is

well-known modifiable risk factor for various metabolic diseases including

dyslipidemia, atherosclerosis, and cardiovascular disease (CVD)2. Dietary

restrictions including alternate day fasting (ADF), an alternative to traditiona l

calorie restriction (CR) are helpful to weight control and have been regarded as

therapeutic strategies for dyslipidemia3,4. In human trials of 3 to 12 weeks in

duration, ADF was found to be effective in reducing body weight by about

3-7%, and decreasing low-density lipoprotein cholesterol (LDL-cholesterol) and

triglyceride levels in overweight and obese adults5-7. However, only dietary

restriction reduces lean mass, and therefore data showing benefits of physica l

exercise during calorie restriction for preserving lean mass and maintaining

weight loss have been presented8-10. Exercise and fitness also prevent and

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4

regress atherosclerosis by the improvement of lipid metabolism, reverse

cholesterol transport (RCT) and antioxidant defenses in the arterial wall11. The

combination of ADF and endurance exercise during 12-week trial produced

remarkable changes in body weight (-6 ± 4 kg), body composition (-5 ± 1 kg for

fat mass, 0 ± 1 kg for lean mass), and lipid indicators of heart disease risk (-12 ±

5 % for LDL cholesterol, 18 ± 9% for HDL cholesterol, 4 ± 1 Å for LDL

particle size), when compared to individual treatments12. However, whether

ADF or exercise including aerobic and endurance exercise, is more effective in

improving weight reduction, body composition and lipid management is not

known to date.

Atherosclerosis and CVD are associated with elevated serum levels of

cholesterol, and monitoring of traditional lipid profile has been considered as a

biochemical indicator for CVD13. Nevertheless, it should be noted that lipid

profile do not themselves constitute cholesterol, but rather serve as transfer

molecules for cholesterol transport throughout the body14 and can only offer a

less comprehensive assessment15. Intracellular cholesterol levels are regulated

by cholesterol biosynthesis and the efflux/influx of lipoprotein-bound

cholesterol and other cholesterol derivatives, such as cholesterol precursors,

cholesteryl esters, oxysterol, and plant sterols14,16. Although sterols are detected

in very low concentrations in the circulation and in tissues, with highly distinct

biological activities, they provide biochemical information related to cholestero l

metabolism, including cholesterol absorption, biosynthesis, and excretion17.

Recently, substantial published evidences revealed the pathologic effects of

several sterols in atherogenesis, neurodegeneration, and inflammation18,19.

Therefore, understanding sterol signatures helps to elucidate disease-causing

mechanisms such as in atherosclerosis, as complementary approach.

The aim of this study was to investigate the effect of ADF and exercise on

serum sterol signatures, as well as body weight, body composition, and

metabolic parameters in overweight or obese adults. Furthermore, we examined

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5

which of calorie restriction and physical activity has a greater effect on

cholesterol metabolism.

II. METHODS

1. Study design

A total of 100 participants were recruited through advertising at Yonse i

University and Severance Hospital (Seoul, Korea) from March 2014 to January

2015. Eligibility requirements were as follows: age 20-65 years; body mass

index (BMI) more than 23.0 kg/ m² (overweight or obese for Asian populations,

according to the World Health Organization expert consultation20); stable weight

for 3 months prior to the study (i.e., weight loss or weight gain less than 5 kg);

no history of bariatric surgery; no secondary obesity, such as hypothyroidism;

non-diabetic; aspartate amino-transferase (AST) or alanine amino-transferase

(ALT) levels < 200 mg/dL; serum creatinine level < 2.0 mg/dL, no pancreatitis

or its related disorders; no acute infectious diseases (i.e., pneumonia, acute

enteritis, or urinary infection); no chronic inflammatory diseases (i.e.,

rheumatoid arthritis, or lupus); no history of cardiovascular diseases; no history

of cancer; not taking anti-obesity, anti-diabetic, diuretic, central-nervous system,

antidepressant, antipsychotic, or steroid medications; no pregnant or lactating

women; no overeating behavior; no more than 30 g of daily alcohol intake; not

a night-time or shift-work worker; no chronic malabsorption syndrome or

cholestasis; no other medical conditions that would preclude subjects from

participating in exercise and physical test. The study design and experimenta l

protocol were approved by the Institutional Review Board of Severance

Hospital (IRB No. 4-2014-0117). All study participants provided written

informed consent.

The participants were randomly assigned in a 1:1:1:1 ratio to 4 groups: 1)

ADF and exercise (E-ADF) group; 2) ADF group; 3) exercise group; 4) control

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6

group. Randomization was performed using computer generated random

number sequence. Additionally, all of the trained exercise specialists who took

the measurements were blinded to group allocation. The 8-week clinical tria l

was conducted three times during the period from April 2014 to January 2015.

Each group was instructed to follow the corresponding diet or exercise protocol.

Control group subjects were required to maintain their regular eating and

exercise habits. Baseline measurements (body composition, blood samples,

questionnaires, and physical fitness test) and post intervention measurements

were conducted before the beginning of intervention and after 8 weeks of

intervention, respectively. Of 100 participants, this exploratory analysis includes

31 completers who examined serum sterol signatures in both baseline and post

intervention measurements (Figure 1).

Figure 1. Study flow chart of participants.

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7

2. Diet protocol

Only the E-ADF and ADF groups participated in the dietary intervention.

During the 8-week intervention, participants consumed 25% of the daily

recommended energy intake (approximately 500 kcal) on each “fast day” (24

hr), and consumed food ad libitum on each “feed day” (24 hr). The “fast day”

and “feed day” were repeated every other day, and the “fast day” was 3 days in

a week. On the “fast day”, all participants were instructed to consume one meal

between 12 PM and 2 PM to maintain the same fasting times. The nutrient

composition of the diet was provided in the daily dietary log by professiona l

nutritionists.

3. Exercise protocol

Only the E-ADF and exercise groups participated in the exercise intervention,

including resistance training and aerobic exercise. During the 8-week

intervention, participants visited the research center gym at least 3 times a week,

and received the exercise logs. In the first week of intervention, the participants

exercised with dedicated instructors, and exercised individually during the

remaining 7 weeks.

Each exercise session began with 5 minutes of warm-up, and ended with 5

minutes of cool-down. Resistance training was performed using weight training

machines, barbells, and dumbbells for 40 minutes. The intensity of resistance

training was individualized according to the individual muscle strength, and

increased periodically each week. Aerobic exercise was performed on motorized

treadmills for 20 minutes, and the intensity of aerobic exercise was determined

by the individual cardiorespiratory fitness, which was measured by maximal

oxygen consumption (VO2max).

4. Diet and exercise compliance

During the 8-week intervention, the E-ADF and ADF groups were instructed to

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8

report the dietary log every day, and the E-ADF and exercise groups to report

the exercise log every visit to the gym. Diet and exercise compliance were

assessed by recording attendance. If a “fast day” or an exercise session was

missed, the subject was required to make up for the missed one on the other day

of the week. Participants who missed more than 8 out of 24 total “fast days” or

exercise sessions were considered to have low-compliance, and excluded from

the ‘per-protocol’ (PP) analyses, not the ‘intention to treat’ (ITT) analyses.

5. Outcome measurements

The 24-hr dietary recall method was used to collect data of food consumed by

participants during the previous 24 hours. Intake of total calorie, protein,

carbohydrate, total fat were computed using the 7th revision Standard Food

Composition Table produced by the Korea National Rural Resources

Development Institute21. Participants completed questionnaires about their

lifestyle behaviors, including cigarette smoking, alcohol consumption, and

physical activity. Individual quantity of physical activity was calculated in

metabolic equivalent-minutes per week (MET-min/wk), according to the Korean

version of the Global Physical Activity Questionnaire22. To assess the physica l

fitness, muscle strength and VO2max were estimated. Muscle strength was

measured using 10 repetition maximum (RM), while performing chest, leg,

shoulder press, and lateral pull down. VO2max (ml/kg/min), which reflects

cardiorespiratory fitness, was estimated during graded treadmill walking using a

modified Bruce protocol. Oxygen concentration, heart rate, and

electrocardiogram were monitored during all tests.

Body weight and height were measured to the nearest 0.1 kg and 0.1 cm,

using an automatic extensometer (BSM 330, Biospace, Seoul, Korea) with

participants wearing light clothing. Body mass index (BMI) was calculated as

the ratio of weight (kg) to height2 (m2). To assess the body composition,

bioelectrical impedance analyzer (InBody U20, Biospace, Seoul, Korea) and fat

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9

measurement computed tomography (CT) (Tomoscan 350, Philips, Mahway, NJ,

USA) were taken. Skeletal muscle mass, fat mass, and fat percentage were

assessed by bioelectrical impedance analyzer. Visceral and subcutaneous fat

areas were measured using a 10-mm CT slice scan acquired at the level of

L4-L5 with subjects in the supine position.

To assess the metabolic parameters, blood samples were obtained from an

antecubital vein after 12-hr overnight fasting. Fasting glucose, high sensitivity

C-reactive protein (hs-CRP), total cholesterol, triglycerides, and high-density

lipoprotein cholesterol (HDL-cholesterol) level were measured with the ADVIA

1650 Clinical Chemistry System (Siemens Medical Solutions, Tarrytown, NY,

USA). The LDL-cholesterol level was calculated using the Friedewald

equation23 unless triglyceride was greater than 400 mg/dl, as follows:

LDL-cholesterol = total cholesterol – HDL-cholesterol – triglyceride/5. Fasting

insulin was measured by an electrochemiluminescence immunoassay using an

Elecsys 2010 instrument (Roche, Indianapolis, IN, USA). Insulin resistance was

estimated using the homeostasis model assessment of insulin resistance

(HOMA-IR) method, by applying the following formula24: [HOMA-IR =

Fasting insulin (μIU/mL) × Fasting glucose (mg/dL)/405].

For metabolic signatures of sterols, 12 serum sterols including cholesterol, 3

plant sterols, 4 cholesterol precursors, 2 cholesteryl esters, and 2 oxysterols

were measured by gas chromatography-mass spectrometry (GC-MS) using an

Agilent 6890 Plus gas chromatograph interfaced with a single-quadrupole

Agilent 5975C MSD (Agilent Technologies, Palo Alto, CA)25.

6. Statistical analysis

All data are presented as the mean ± standard deviation (SD), or number (%).

Normality was assessed by the Kolmogorov-Smirnov test, and no variables

were found to be not normal. Differences in baseline characteristics between

intervention groups were summarized using either one-way analysis of variance

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10

for continuous variables or the Chi-square test for categorical variables.

Within-group differences after intervention were analyzed by paired t-test, and

differences between groups after intervention were analyzed using analysis of

covariance (ANCOVA), adjusted for age, sex, and baseline body weight.

Pearson’s partial correlation coefficients were calculated to examine the

relationships between changes of weight, calorie intake, physical activity, and

changes of cholesterol biosynthesis markers. A p-value < 0.05 was considered

statistically significant. All analyses were performed using SPSS for Windows

(version 20.0; SPSS Inc., Chicago, Ill., USA).

III. RESULTS

The baseline characteristics of study participants are summarized in Table 1.

There was no difference between groups for age, sex, body weight or BMI at

baseline. Only LDL-cholesterol and total fat intake, however, differed between

groups at baseline.

Table 1. Baseline characteristics of study participants (n=31).1)

Group 1 (n=9) Group 2 (n=8) Group 3 (n=9) Group 4 (n=5)

p-valu

e2)

Age (years) 34.5 ± 5.7 33.5 ± 5.0 38.6 ± 8.2 42.6 ± 10.6 0.129

Male sex (%) 5 (55.6) 2 (25.0) 5 (55.6) 3 (60.0) 0.698

Body composition

Height (cm) 166.4 ± 10.2 163.4 ± 9.0 165.8 ± 7.9 165.4 ± 6.1 0.905

Weight (kg) 78.2 ± 14.5 74.6 ± 13.7 74.2 ± 13.2 71.1 ± 11.7 0.812

BMI (kg/m2) 28.0 ± 2.6 27.8 ± 3.4 26.9 ± 3.9 25.8 ± 3.4 0.670

Impedance analysis

Skeletal muscle (kg) 30.0 ± 7.9 26.6 ± 5.8 28.2 ± 6.2 27.5 ± 5.2 0.746

Fat mass (kg) 24.7 ± 3.9 26.5 ± 5.8 23.4 ± 7.9 21.2 ± 4.3 0.460

Fat percentage (%) 32.1 ± 5.6 35.4 ± 4.5 31.3 ± 7.2 29.9 ± 3.4 0.322

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11

WHR 0.90 ± 0.05 0.91 ± 0.06 0.89 ± 0.04 0.91 ± 0.05 0.846

Fat CT

Visceral fat (cm2) 79.7 ± 21.5 74.3 ± 21.0 80.6 ± 23.6 82.1 ± 24.1 0.916

SubQ fat (cm2) 267.2 ± 75.6 237.2 ± 89.4 222.8 ± 59.1 247.1 ± 77.5 0.656

Metabolic parameters

WBC count (/μL) 6144.4 ±

1196.2

5657.5 ±

1718.9

5624.4 ±

1590.2

5770.0 ± 899.2 0.864

hs-CRP (mg/L) 0.78 ± 1.23 1.20 ± 1.46 1.31 ± 1.63 0.50 ± 0.33 0.672

Fasting glucose (mg/dL) 94.5 ± 13.0 96.2 ± 7.0 90.3 ± 7.2 88.8 ± 12.2 0.480

Insulin (mcIU/mL) 9.43 ± 2.24 9.88 ± 5.34 7.37 ± 4.81 4.34 ± 1.47 0.087

HOMA-IR 2.23 ± 0.72 2.35 ± 1.27 1.61 ± 1.04 0.97 ± 0.45 0.063

Total cholesterol (mg/dL) 189.7 ± 25.8 183.0 ± 17.5 172.3 ± 31.8 161.0 ± 37.3 0.279

Triglyceride (mg/dL) 122.0 ± 53.5 117.3 ± 49.5 208.5 ± 154.9 122.6 ± 74.1 0.179

HDL-cholesterol (mg/dL) 46.5 ± 10.0 47.9 ± 7.8 41.5 ± 11.5 50.4 ± 14.0 0.447

LDL-cholesterol (mg/dL) 118.8 ± 24.4 111.5 ± 14.2 89.1 ± 29.8 86.0 ± 32.4 0.044

Nutrient intake

Total calorie (kcal/day) 1785.9 ± 311.3 1841.1 ± 359.9 1532.8 ± 410.4 1460.9 ± 448.6 0.182

Protein (g) 73.1 ± 17.0 79.8 ± 11.1 65.1 ± 17.0 66.2 ± 16.6 0.244

Carbohydrate (g) 246.8 ± 43.5 258.4 ± 69.1 220.5 ± 81.2 232.3 ± 77.1 0.692

Total fat (g) 59.8 ± 12.2 61.7 ± 12.0 47.4 ± 19.9 38.6 ± 11.1 0.027

SFA (g) 8.5 ± 6.0 7.0 ± 5.7 4.5 ± 2.4 14.5 ± 13.8 0.110

MUFA (g) 10.1 ± 6.4 8.4 ± 6.6 6.5 ± 3.2 15.0 ± 12.3 0.205

PUFA (g) 8.5 ± 3.8 6.3 ± 4.4 8.8 ± 4.9 10.2 ± 2.5 0.400

Physical activity and fitness

GPAQ score (MET-min/wk)

1097.7 ± 2352.8

1230.0 ± 1412.2

862.2 ± 910.6 1392.0 ± 2122.3

0.950

Chest press (kg) 38.0 ± 18.6 34.0 ± 20.7 31.6 ± 16.1 35.0 ± 18.3 0.907

Leg press (kg) 101.1 ± 23.6 81.2 ± 22.9 96.6 ± 41.2 74.0 ± 33.6 0.342

Shoulder press (kg) 19.7 ± 13.0 15.6 ± 9.9 18.8 ± 11.7 19.0 ± 13.6 0.905

Lateral pull down (kg) 39.4 ± 14.6 39.3 ± 16.3 34.4 ± 13.3 40.0 ± 17.6 0.867

VO2max (ml/kg/min) 29.0 ± 3.4 28.1 ± 4.5 32.6 ± 7.6 31.8 ± 4.8 0.304

Abbreviations: SD, standard deviation; BMI, body mass index; WHR, waist-hip-ratio; subQ,

subcutaneous; WBC, white blood cell; hs-CRP, high sensitivity-C reactive protein; HOMA-IR,

homeostasis model of assessment-insulin resistance; HDL, high density lipoprotein; LDL, low

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12

density lipoprotein; SFA, saturated fatty acid; MUFA, monounsaturated fatty acid; PUFA,

polyunsaturated fatty acid; GPAQ, global physical activity questionnaire; MET, metabolic

equivalents;

1) Data are expressed as the mean ± SD or number (%).

2) p-value calculated by one-way analysis of variance.

Table 2. Changes in body composition, metabolic parameters, nutrient intake

and physical activity after intervention.1)

Group 1 (n=9) Group 2 (n=8) Group 3 (n=9) Group 4 (n=5)

p-valu

e2)

Body composition

Weight (kg) -3.9 ± 2.1*,a -3.7 ± 1.9*,a -2.0 ± 1.4*,a,b -0.2 ± 1.5b 0.019

BMI (kg/m2) -1.4 ± 0.8*,a -1.4 ± 0.9*,a -0.7 ± 0.4*,a,b -0.1 ± 0.4b 0.038

Skeletal muscle (kg) -0.6 ± 0.5* -0.5 ± 0.8 -0.1 ± 0.9 0.2 ± 0.6 0.712

Fat mass (kg) -3.1 ± 1.9*,a -2.9 ± 1.4*,a -1.8 ± 0.9*,a,b -0.7 ± 1.8b 0.024

Fat percentage (%) -2.6 ± 2.3* -2.3 ± 1.7* -1.9 ± 1.3* -0.9 ± 2.0 0.131

WHR -0.03 ± 0.01* -0.01 ± 0.03 -0.01 ± 0.01* -0.03 ± 0.01* 0.389

Visceral fat (cm2) -1.0 ± 37.2 17.3 ± 48.1 18.2 ± 46.5 15.3 ± 61.5 0.230

SubQ fat (cm2) -36.8 ± 124.5 17.7 ± 117.9 -13.0 ± 106.7 -64.4 ± 104.4 0.714

Metabolic parameters

WBC count (/μL) -1005.6 ± 822.9*

-56.2 ± 1384.6 12.2 ± 936.4 656.0 ± 1233.8 0.068

hs-CRP (mg/L) 0.35 ± 0.82 -0.18 ± 1.08 -0.23 ± 1.81 0.62 ± 0.63 0.420

Fasting glucose (mg/dL) -12.8 ± 14.8* -9.5 ± 8.7* -1.6 ± 8.3 -5.8 ± 5.2 0.108

Insulin (mcIU/mL) -2.77 ± 4.33 3.51 ± 15.2 -0.37 ± 4.29 3.48 ± 1.99* 0.211

HOMA-IR -0.83 ± 1.12 0.75 ± 3.79 -0.09 ± 0.84 0.66 ± 0.44* 0.199

Total cholesterol (mg/dL) 16.1 ± 24.8 10.1 ± 28.4 18.2 ± 25.8 27.6 ± 14.4* 0.437

Triglyceride (mg/dL) -40.3 ± 25.5*,a,b

22.6 ± 65.6a -92.6 ± 148.3b 39.8 ± 28.2*,a 0.042

HDL-cholesterol (mg/dL) 5.5 ± 8.1 2.5 ± 9.9 11.4 ± 8.7* 6.5 ± 2.4* 0.237

LDL-cholesterol (mg/dL) 18.6 ± 24.7 3.0 ± 28.2 25.2 ± 26.3* 13.0 ± 12.9 0.295

Nutrient intake

Total calorie (kcal/day) -415.9 ± 423.4*

-549.4 ± 507.9*

-93.5 ± 688.2 81.7 ± 469.6 0.053

Protein (g) 31.0 ± 138.5 -30.5 ± 19.8* -4.5 ± 20.3 4.9 ± 16.1 0.290

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Carbohydrate (g) -25.6 ± 105.9 -57.6 ± 113.5 2.9 ± 120.4 7.8 ± 112.0 0.178

Total fat (g) -12.1 ± 19.3 -20.8 ± 15.6* -6.1 ± 25.6 3.9 ± 22.1 0.155

SFA (g) -2.5 ± 7.6 -1.1 ± 8.4 3.6 ± 6.0 -10.4 ± 12.8 0.099

MUFA (g) -2.8 ± 9.7 -1.1 ± 10.0 3.0 ± 5.7 -9.6 ± 10.8 0.185

PUFA (g) -3.1 ± 4.9 -0.9 ± 5.4 -2.6 ± 4.0 -6.2 ± 5.3 0.101

Physical activity and fitness

GPAQ score

(MET-min/wk)

1257.7 ±

1274.0* 155.0 ± 1088.6

1295.0 ±

1343.2*

-512.0 ±

1043.9 0.051

Chest press (kg) 6.3 ± 3.9*,a -3.7 ± 3.5*,b 9.0 ± 9.4*,a -2.0 ± 2.7b 0.001

Leg press (kg) -1.6 ± 18.0 -3.7 ± 21.3 4.3 ± 16.7 -7.0 ± 6.7 0.731

Shoulder press (kg) 2.7 ± 7.9 0.6 ± 4.1 6.8 ± 6.2* 2.0 ± 3.2 0.101

Lateral pull down (kg) 0.5 ± 6.3a,b -3.1 ± 5.9a 5.0 ± 3.7*,b -3.0 ± 5.7a 0.008

VO2max (ml/kg/min) 4.1 ± 3.4* 1.7 ± 4.7 2.0 ± 3.0 0.1 ± 5.5 0.677

1) Changes are mean values ± SD and are calculated as 8-week value minus baseline value.

2) p-value between groups calculated by analysis of covariance (ANCOVA); adjusted for age, sex

and baseline body weight.

* p-value < 0.05 by paired t-test.

a,b The same letters indicate non-significant difference between groups based on Least Significant

Difference test.

Changes in body composition, metabolic parameters, nutrient intake and

physical activity after intervention are reported in Table 2. Body weight, BMI,

and fat mass were reduced in three intervention groups after 8 weeks (p-value <

0.05 by paired t-test). Body weight and fat mass reduction were greater in the

E-ADF group (-3.9 ± 2.1 kg and -3.1 ± 1.9 kg) and ADF group (-3.7 ± 1.9 kg

and -2.9 ± 1.4 kg) than in control group (-0.2 ± 1.5 kg and -0.7 ± 1.8 kg), which

showed significant differences between groups based on post-hoc analyses. Less

pronounced decreases in body weight and fat mass were also noted in the

exercise group (-2.0 ± 1.4 kg and -1.8 ± 0.9 kg). Of the metabolic parameters,

only changes in triglyceride showed statistically significant differences between

the groups (p-value = 0.042 by ANCOVA). Triglyceride levels decreased in the

E-ADF group (-40.3 ± 25.5 mg/dL), while increased in control group (39.8 ±

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28.2 mg/dL). Total calorie intake was reduced in the E-ADF and ADF groups,

and GPAQ score was increased in the E-ADF and exercise groups throughout

the trial, as we scheduled. Muscle strengths measured by chest press and latera l

pull down were significantly increased in the exercise group (9.0 ± 9.4 kg and

5.0 ± 3.7 kg, respectively). No between-group differences were observed for

specific nutrient intake and VO2max, which reflects cardiorespiratory fitness.

Table 3. Changes in 12 sterol signatures measured by GC-MS after

intervention.1)

Group 1 (n=9) Group 2 (n=8) Group 3 (n=9) Group 4 (n=5) p-valu

e2)

Cholesterol (µg/mL) 2.5 ± 51.3 17.0 ± 28.6 -4.8 ± 38.7 29.0 ± 36.9 0.156

Plant sterols (µg/mL)

Sitosterol 0.00 ± 0.15 0.04 ± 0.25 -0.03 ± 0.27 0.10 ± 0.12 0.642

Campesterol 0.00 ± 0.26 0.08 ± 0.39 -0.06 ± 0.39 0.13 ± 0.19 0.679

Stigmasterol 0.093 ± 0.010* 0.096 ± 0.015* 0.095 ± 0.009* 0.097 ± 0.010* 0.913

Cholesterol precursors (ng/mL)

Lanosterol -0.13 ± 0.17* -0.03 ± 0.19 -0.12 ± 0.10* 0.02 ± 0.10 0.113

Lathosterol -0.53 ± 0.60* -0.04 ± 0.37 -0.45 ± 0.48* -0.07 ± 0.28 0.108

Desmosterol -0.01 ± 0.03a 0.00 ± 0.04a,b -0.04 ± 0.05*,a 0.04 ± 0.03b 0.006

7-DHC 0.05 ± 0.12a 0.12 ± 0.07*,a 0.07 ± 0.10a 0.27 ± 0.05*,b 0.007

Cholesteryl esters

(µg/mL)

Chol-M -22.9 ± 13.8*,a -10.8 ± 10.1*,b -23.1 ± 14.1*,a 17.5 ± 16.4c 0.000

Chol-A -49.8 ± 65.4a,b -14.0 ± 42.8a,b -85.9 ± 77.2*,a 17.9 ± 55.3b 0.034

Oxysterols (ng/mL)

7α-OHC -0.016 ± 0.007*,a -0.009 ± 0.014a -0.029 ± 0.013*,b -0.003 ± 0.013a 0.005

7β-OHC 0.000 ± 0.007a -0.002 ± 0.007a -0.018 ± 0.012*,b 0.005 ± 0.009a 0.000

Metabolic ratios3)

Lano/Chol -2.74 ± 4.01 -1.00 ± 4.26 -2.62 ± 2.00* 0.09 ± 2.18 0.242 Latho/Chol -10.46 ± 13.80* -1.74 ± 8.67 -9.75 ± 10.58* -3.37 ± 5.40 0.238

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Desmo/Chol -0.37 ± 1.11a,b -0.05 ± 0.88a,b -0.95 ± 0.97*,a 0.57 ± 0.70b 0.047

7-DHC/Chol 1.14 ± 3.13 2.24 ± 1.62* 1.94 ± 2.14* 5.66 ± 2.50* 0.073

Chol-M/Chol -4.75 ± 3.18*,a -2.61 ± 2.30*,b -5.19 ± 3.03*,a 3.13 ± 2.74b 0.000

Chol-A/Chol -0.10 ± 0.08*,a,b -0.04 ± 0.10a -0.18 ± 0.15*,b 0.00 ± 0.09a 0.041

7α-OHC/Chol -0.33 ± 0.12*,a -0.24 ± 0.33a -0.64 ± 0.29*,b -0.16 ± 0.31a 0.005

7β-OHC/Chol 0.00 ± 0.14a -0.09 ± 0.17a -0.40 ± 0.24*,b 0.05 ± 0.16a 0.000

Abbreviations: HTGC-MS, high-temperature gas chromatography-mass spectrometry; Chol-M,

cholesteryl myristate; Chol-A, cholesteryl arachidonate; 7-DHC, 7-dehydrocholesterol;

7α-OHC, 7α-hydroxycholesterol; 7β-OHC, 7β-hydroxycholesterol

1) Changes are mean values ± SD and are calculated as 8-week value minus baseline value.

2) p-value calculated by analysis of covariance (ANCOVA); adjusted for age, sex and baseline

body weight.

3) The metabolic ratios are based on serum concentrations measured.

* p-value < 0.05 by paired t-test.

a,b,c The same letters indicate non-significant difference between groups based on Least

Significant Difference test.

In serum sterol signatures, no differences among groups in plant sterols,

surrogate markers for the efficiency of cholesterol absorption, after intervention

were observed. Most of other markers of cholesterol metabolism, except

lanosterol and lathosterol, showed significant differences between groups after

adjusted for age, sex, and baseline body weight (p-value < 0.05 by ANCOVA;

Table 3). Of the cholesterol precursors, desmosterol decreased in the exercise

group (-0.04 ± 0.05 ng/mL), whereas 7-DHC increased in the ADF and contro l

groups (0.12 ± 0.07 ng/mL and 0.27 ± 0.05 ng/mL, respectively). Both

lanosterol and lathosterol decreased in the E-ADF and exercise groups

throughout the course of trial, but there were no significant differences between

groups. All cholesteryl esters and oxysterols showed greater reductions in the

exercise group than the other groups. The results of metabolic ratios against

cholesterol were similar to those of respective sterols.

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Figure 2. Relationship between changes in weight, calorie intake, physica l

activities and metabolic ratios of desmosterol and 7-dehydrocholesterol to

cholesterol.

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r: Pearson’s partial correlation coefficient adjusted by age, sex, and initial weight (r=0: no linear

relationship, r=1 or -1: perfect linear relationship). x-axes are based on calculated residuals from

regressing changes of weight, total calorie, and GPAQ score. y-axes are based on calculated

residuals from regressing changes of desmosterol/cholesterol and 7-DHC/cholesterol ratios.

Finally, changes in metabolic ratios of desmosterol and 7-DHC to cholesterol,

which reflect cholesterol biosynthesis, were negatively correlated only with

changes in physical activity levels measured by GPAQ score (r = -0.411;

p-value = 0.030, and r = -0.540; p-value = 0.003, respectively) (Figure 2). These

changes were not associated with changes in total calorie intake or body weight.

IV. DISCUSSION

Here, we examined the effects of ADF and exercise on body weight, body

composition, metabolic parameters, and non-cholesterol sterols in overweight or

obese adults. Following our intervention, 1) The E-ADF and ADF groups lost

more body weight and fat mass in comparison with control group after 8 weeks;

2) The GC-MS-based serum sterol signatures showed greater decreases in

desmosterol, every cholesteryl esters, and oxysterols in the exercise group; and

3) Furthermore, changes in metabolic ratios of desmosterol and 7-DHC to

cholesterol, which reflect cholesterol biosynthesis, were negatively correlated

only with changes in physical activity, not calorie intake or body weight.

Calorie restriction and physical exercise are considered key factors affecting

weight reduction and overall risk of cardiovascular disease. The present study is

the first study to compare the effects of dietary restriction and exercise on

metabolic signatures of serum sterols including cholesterol. Although the

traditional lipid profiles are regarded as CVD risk factors, they can only offer

limited information of atherosclerosis and cardiovascular pathologies14. In

contrast, an alteration in cholesterol metabolism has been known as a powerfu l

predictor of developing cardiovascular events, even in an early stage of

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atherosclerosis25. Abnormal cholesterol metabolism, including low intestina l

cholesterol absorption and elevated biosynthesis, is prevalent in obesity,

diabetes, dyslipidemia, and the metabolic syndrome26.

In the exercise group, all cholesteryl esters, oxysterols, and some of

cholesterol precursors were decreased against the ADF group. Generally, the

serum cholesterol precursors reflect cholesterol biosynthesis and oxysterols are

oxidized derivatives of cholesterol or by-products of its biosynthesis17.

Cholesteryl esters could reflect enzyme activities of lecithin:cholestero l

acyltransferase (LCAT) and acyl CoA:cholesterol acyltransferase (ACAT), and

they accumulate in the fatty lesions of atherosclerotic plaques27. Therefore, the

diminishing states of cholesterol precursors, cholesteryl esters, oxysterols, and

their metabolic ratios to cholesterol suggest that exercise could inhibit excess

production of cholesterol and oxidative stress rather than calorie restriction and

may benefit from CVD. The correlations between physical activity score and

the metabolic change ratio of desmosterol and 7-DHC to cholesterol, which

reflect cholesterol biosynthesis, support the effect of exercise on cholestero l

metabolism in our study. Even though the exact mechanisms of exercise on

sterol signatures and biosynthesis are unknown, our data are in accordance with

the previous observational studies that exercise promoted cholesterol efflux

through reverse cholesterol transport (RCT), which is the initial step of release

of free cholesterol from cholesteryl esters in peripheral cells28.

Despite quantitative sterol signatures in obesity and weight change have not

been fully investigated, several previous studies evaluating the weight loss

effects from dietary restriction were accompanied with a decrease in cholestero l

biosynthesis29 and an increase in cholesterol absorption efficiency30. In the

present study, the changes of cholesterol synthesis markers are relatively

smaller in the ADF group compared in the exercise group. Among absorption

markers, expressed by plant sterols31, only stigmasterol increased in all groups

after 8 weeks, but there were no differences among groups. The inconsistent

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findings to some previous studies might be due to the differences in the specific

characteristics of the study population, different diet control method or

less-pronounced weight loss in the present trial. Large-scale prospective studies

with various dietary control and durations should be further investigated.

Our study has several limitations. First, our 8-week intervention was not long

enough to observe changes in plasma lipids. Although there were no significant

changes in plasma lipids, serum non-cholesterol sterols showed changes,

indicating their sensitivity. Second, the small numbers of participants were

included in this exploratory analysis. Third, there was no information on dietary

cholesterol or plant sterols in our 24-hr dietary recall. Under conditions of too

little plant sterol intake due to calorie restriction, serum plant sterols did not

adequately reflect cholesterol absorption29. The amount of dietary plant sterols

is needed to assess more accurate changes in serum plant sterols. Finally, we

evaluated cholesterol metabolism using GC-MS based serum sterol signatures,

not isotope methods, which directly measure cholesterol absorption,

biosynthesis, and excretion32. Despite the accuracy of the isotope kinetic and

sterol balance methods, they are not suitable for large-scale studies, therefore

less expensive and simpler measurement of serum sterol signatures has been

used extensively in recent studies.

V. CONCLUSION

In conclusion, we found that exercise with or without ADF improved

cholesterol metabolism as measured by serum sterol signatures in overweight or

obese adults. Moreover, our results show that increased physical activity has a

greater effect on cholesterol biosynthesis than weight reduction or calorie

restriction. These findings may provide further support for the validity of stero l

signatures, and suggest the importance of exercise on cholesterol metabolism.

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ABSTRACT (IN KOREAN)

과체중 및 비만 성인에서 간헐적 단식과 운동 기반의 치료가

콜레스테롤 대사에 미치는 영향: 무작위 대조군 연구

<지도교수 이 지 원>

연세대학교 대학원 의학과

조 아 라

배경: 본 연구에서는 간헐적 단식과 운동 기반의 치료가 콜레스테롤

대사를 반영하는 지표인 혈청 스테롤 시그니쳐 (sterol signatures)에

미치는 효과를 분석하였다.

방법: 31명의 과체중 및 비만 참가자들은 1) 간헐적 단식과 운동; 2)

간헐적 단식; 3) 운동; 4) 대조군의 네 그룹으로 무작위 배정되었으며,

기체 크로마토그래프 질량 분석기 (gas chromatography-mass

spectrometry)를 이용하여 혈청 스테롤 시그니쳐를 측정하였다.

결과: 중재 후, 콜레스테롤 대사를 반영하는 혈청 스테롤 시그니쳐의

대부분이 그룹간 유의미한 차이를 보였으나 (p-value < 0.05 by

ANCOVA), 콜레스테롤 흡수의 지표인 식물성 스테롤 (plant

sterols)은 차이가 없었다. 데스모스테롤 (desmosterol) , 콜레스테롤

에스테르 (cholesteryl ester) , 옥시스테롤 (oxysterol)은 운동

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그룹에서 유의하게 감소하였다. 추가적으로, 콜레스테롤 합성을

반영하는, 데스모스테롤 및 7-DHC의 콜레스테롤과의 대사 비율

변화가 신체활동량의 변화와 음의 상관성을 보였다 ( r = -0.411;

p-value = 0.030, and r = -0.540; p-value = 0.003) .

결론: 이 연구 결과는 간헐적 단식을 병행하거나 병행하지 않은

운동이 혈청 스테롤 시그니쳐로 측정한 콜레스테롤 대사를

개선시킴을 보여주며, 신체활동량의 증가가 체중 감소나 칼로리

제한보다 콜레스테롤 합성에 더 큰 영향을 줄 수 있음을 제시한다.

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핵심되는 말: 콜레스테롤 대사; 혈청 스테롤; 간헐적 단식; 운동;

비만