Literature DB >> 34084189

The effects of spirulina under high-intensity interval training on levels of nesfatin-1, omentin-1, and lipid profiles in overweight and obese females: A randomized, controlled, single-blind trial.

Fateme Golestani1, Mehdi Mogharnasi1, Mahboube Erfani-Far1, Seyed Hossein Abtahi-Eivari2.   

Abstract

BACKGROUND: We investigated the effects of spirulina under high-intensity interval training (HIIT) on levels of nesfatin-1, omentin-1, and lipid profiles in overweight and obese females.
MATERIALS AND METHODS: This is a randomized, quasi-experimental controlled, single-blind with a pre- and post-test design, in which twenty overweight and obese women (body mass index = 29.32 ± 3.01 kg/m2, age = 21.55 ± 1.76 years), were randomly divided into the following groups: HIIT + spirulina (n = 10) and HIIT + placebo (n = 10). Running anaerobic sprint test was used for HIIT protocol consisting of six intervals at 35 m maximal speed runs, with a rest of 10 s in each trial (3 times/week, 4 weeks). HIIT + spirulina group received 500 mg of the spirulina pills twice daily for 4 weeks and the second group took placebo.
RESULTS: There was a significant increase in serum levels of nesfatin-1 in HIIT + spirulina (P < 0.0001) but not in HIIT + placebo (P = 0.61) group. Furthermore, results indicated a significant difference between two groups with respect to serum levels of nesfatin-1 (P = 0.04). Serum levels of omentin-1 significantly increased in both groups (P < 0.05). However, there was no significant difference between two groups (P = 0.49). In addition, results showed no significant inter- and intra-group differences in total cholesterol levels, triglycerides, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol between groups (P > 0.05).
CONCLUSION: The spirulina under HIIT increased levels of nesfatin-1 and omentin-1 with no effects on the levels of lipid profiles in overweight and obese females. Copyright:
© 2021 Journal of Research in Medical Sciences.

Entities:  

Keywords:  High-intensity interval training; lipid profiles; nesfatin-1; obese; omentin-1; spirulina

Year:  2021        PMID: 34084189      PMCID: PMC8103962          DOI: 10.4103/jrms.JRMS_1317_20

Source DB:  PubMed          Journal:  J Res Med Sci        ISSN: 1735-1995            Impact factor:   1.852


INTRODUCTION

In the 21st century, increasing prevalence of obesity has become a medical global challenge. A wealth of clinical and epidemiological evidence has linked obesity to cardiovascular diseases (CVD) and cerebrovascular disease.[1] It was indicated that physical activity reduced risk factors of CVD such as total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), body fat percentage (BFP), and increased high-density lipoprotein cholesterol (HDL-C) which is a protective factor of CVD.[1] Adipose tissue is an endocrine organ that produces hormones as adipokines including nesfatin-1 and omentin-1.[2] Nesfatin-1 contains some proteins which play important role in food intake and weight loss.[3] Omentin is produced in visceral adipose tissue and increases insulin sensitivity in muscle, liver, and adipose tissue.[4] Levels of omentin-1 and nefastin-1 are decreased in obese individuals, Type 2 diabetes, and insulin resistance.[5] There is a negative correlation between serum levels of nesfatin-1 and omentin-1 with body mass index (BMI), waist circumference, and a positive correlation with HDL-C levels.[35] Various factors such as exercise can alter adipokines secretion involved in energy regulation. Exercise is known as an effective strategy for weight management and can improve obesity risk factors in normal and obese individuals.[6] High-intensity interval training (HIIT) involves short bouts of vigorous exercise with intensity greater than lactate threshold and near VO2max followed by a return to the initial low-intensity state, which results in various metabolic adaptations.[1] Although the duration of HIIT is very short, it has a beneficial effect on acceleration of fat loss and improves aerobic and anaerobic endurance.[7] HIIT is a time-efficient way to combine vigorous physical activity into an exercise program.[7] Furthermore, it is less intimidating and more acceptable to overweight and obese individuals.[7] In addition to exercise, diet and supplements have also been recognized as a way of weight loss and obesity-related risk factors in recent years. Spirulina is a species of microalgae[89] and a rich source of protein and vitamins, particularly, vitamin B12, mineral, carotenoid, and phycocyanin[10] which can prevent fatty liver, cardiovascular disease, and reduce serum lipid levels.[10] Few studies in regarding to the effect of exercise on omentin-1 and nesfatin-1 have been carried out,[1112] however, based on the author's knowledge, the effects of spirulina under HIIT on levels of nesfatin-1, omentin-1, and lipid profiles in overweight and obese females have not yet been examined. Therefore, we investigated the effects of spirulina under (HIIT) on levels of nesfatin-1, omentin-1, and lipid profiles in overweight and obese females and compared it with HIIT effects.

MATERIALS AND METHODS

Participants and study design

This was a randomized, quasi-experimental, controlled, single-blind study with a pre- and post-test design. A total of twenty overweight and obese young women (BMI = 29.32 ± 3.01 kg/m2, age = 21.55 ± 1.76 years) were recruited to the present study. The study population included overweight and obese students of the University of Birjand, which is located in the southern Khorasan province, Iran. According to CONSORT statement, Figure 1 shows the flowchart of this study. The inclusion criteria included; 18–25 years, overweigh (25 ≥BMI ≥29.99 kg/m2) and obese (30 ≥BMI ≥34.99 kg/m2), lack of professional training for last 6 months, lack of physical ills, and stable weight for at least 3 months. They were free of chronic disease and no other medical conditions that would impact their ability to engage in intense exercise. Written informed consent was obtained from all subjects. Prior baseline measurements, all subjects became familiar with all testing and procedure. The Ethics Committee of Birjand University of Medical Science (BUMS) approved this project (Code number; IR-BUMS.REC.1397.182).
Figure 1

Flowchart of the study

Flowchart of the study Subjects were randomly divided into two groups including: HIIT + spirulina (n = 10) and HIIT + placebo (n = 10) groups. A schematic of the of study design is shown in Figure 2. They were excluded if they had any nutritional supplements that may alter the results. All subjects were asked to adhere to their normal and similar dietary patterns and daily activity throughout the study. Furthermore, Food Frequency Questionnaires were used to measure dietary habits of subjects. Measurements were collected at two-time points, baseline and after 4 weeks, during the same time of day (±1 h) and under the same environmental conditions (~20°C and ~55% humidity) in the morning following an overnight fast and abstinence from caffeinated drinks, alcohol, and approximately 48 h after the last training session. Information about the physical activity level and health condition of all the subjects was collected through questionnaire. Randomization was performed by used a digital tool available at www.randomizer.org. Furthermore, the calculation of the sample size was carried out using G*Powers software (Heinrich-Heine-Universität, Düsseldorf, Germany).
Figure 2

Schematic of the study design. Both baseline and post-testing were conducted after a 12-hour overnight fast and avoidance of exercise. Abbreviations: HIIT, high intensity interval training; BMI, body mass index; BFP, body fat percentage; WHR: waist-hip ratio

Schematic of the study design. Both baseline and post-testing were conducted after a 12-hour overnight fast and avoidance of exercise. Abbreviations: HIIT, high intensity interval training; BMI, body mass index; BFP, body fat percentage; WHR: waist-hip ratio

Physical composition measurements

Physical composition measurements of the subjects were assessed at the baseline (48 h before) and end (48 h after) of 4 weeks of intervention protocols. To determine the physical composition measurements, all subjects were wearing usual indoor clothing without shoes (weight, height, BMI, BFP, and waist-to-hip ratio [WHR]). Body weight was measured using a digital TCM scale (to the nearest 0.1) and standing height was measured using wall-mounted made in Yagami Japan (to the nearest 0.5 cm). BMI was obtained for each subject by dividing the weight in kilograms into the height in m2. Assessment of waist–hip ratio was calculated as the waist circumference in centimeters (mid between the lowest ribs and the iliac crest) divided by the hip circumference in centimeters (in the gluteus Maximus). BFP was predicted from the skinfold thickness measurement using caliper (Harpenden Skinfold Fat Caliper Made in England). A three-site skinfold (the triceps, the suprailiac, and the front thigh) protocol was used to estimate BFP.

Spirulina supplementation

The subjects of HIIT + spirulina groups received the spirulina pills 500 mg,) (Far East Microalgae Ind. Co. LTD, the exclusive distributor in Iran: QSM Co.) twice-daily, an hour before meals for 4 weeks. The HIIT + placebo received (twice-daily, an hour before each meals) pills which contained 500 g starch in similar shape to spirulina pill. Compliance with spirulina and any complication about, it was checked through weekly telephone interviews.[13]

High-intensity interval training protocol

Subjects performed HIIT by 100% maximum speed. The intensity of HIIT was measured by Carvonen by the following method: Maximum heart rate = 220 – age Heart rate reserve = HR max – HR rest (Resting heart rate) %60 Target heart rate = (0.60 × HRR) + HR rest Subjects completed the running anaerobic sprint test (RAST)-test for HIIT protocol. The test included six intervals at a distance of 35 m maximal speed runs with a 10-s active rest between each trial (4 weeks, three sessions per week). HIIT program was during the same time of day and under the same environmental conditions (~20°C and ~55% humidity) in the afternoon. The protocol consisted of two sets of RAST-test with 3 min of rest between each set in the 1st week, 3 sets in the 2nd week, 4 sets in the 3rd week, and 3 sets in the fourth.[14] At the beginning and end of RAST test, subjects performed 15 min warm-up and 15 min cool down [Figure 3]. To measure the intensity of training, the heart rate of participants was randomly measured by Polar heart rate watch in every session.
Figure 3

High intensity interval training program

High intensity interval training program

Blood collection and processing

In the present study, following 12 h of fasting to measure the biochemical variables, 5 ml of blood were taken from all the subjects. Blood sampling was performed 48 h before and 48 h after the last exercise training session, from antecubital vein of the subjects by a technician in laboratory medicine. Serum was separated by centrifugation (Hettich, MIKRO 120, Germany) at 3000 rpm for 5 min and stored at − 70°C until analyses were performed. Pars test kit (Germany) was used to measure levels of lipid profiles by the Auto Analyzer System. Serum nesfatin-1 and omentin-1 were evaluated using sandwich ELISA using human kit (ZellBio GmbH [Germany]) with a sensitivity of 4.8 ng/ml and 1 ng/ml, respectively.

Statistical analysis

All data were analyzed using Statistical Package for the Social Sciences (SPSS Inc., Chicago, IL, USA) software version 22.0 and were expressed as means ± standard deviation. The determination of normality of data distribution was performed by Shapiro–Wilk test. Leven's test and Covariance Matrix were used to examine the homogeneity of variance in groups. To confound such pretest values as the covariate, we used analysis of covariance (ANCOVA) tests was applied to examine. Paired-samples t-test and ANCOVA were applied to examine the intra- and inter-group differences, respectively. P < 0.05 was considered statistically significant. It should be noted that the present study did not have any missing data and the analyses were done on original assigned groups (HIIT + spirulina group and HIIT + placebo group).

RESULTS

The interactive effects of HIIT and spirulina supplementation on all variables are presented in Table 1. Figure 1 shows that there were not any losses and exclusion in each group. The results of the present study showed serum levels of omentin-1 increased significantly in two groups as compared to pretest (HIIT + spirulina = 34.14 mg/dl [95% confidence interval [CI] =19.25–49.03], [P < 0.001] and HIIT + placebo = 22.17 mg/dl [CI = 9.5–34.84], [P = 0.03]). There were no significant differences on serum levels of omentin-1 between two groups (P = 0.49). Furthermore, Nesfatin-1 increased significantly in HIIT + spirulina group (0.99 mg/dL [CI = 0.07–1.92], [P < 0.001]), but not in HIIT + placebo (0.12 mg/dl [CI = 0.33–0.58], [P > 0.05]). In addition, serum levels of nesfatin-1 were greater in HIIT + spirulina group than HIIT + placebo group (P = 0.04). Significant reduction of BMI was observed in HIIT + placebo group (−0.78 kg/m2, [CI=−1.34 to − 0.21], [P = 0.01]) than HIIT + spirulina group (−0.41 kg/m2, [CI = −0.92 to − 0.09], [P = 0.10]). No significant reduction was found in levels of TC (HIIT + spirulina = −4.10 mg/dl, [CI = −27.04 to − 18.83], [P = 0.69] and HIIT + placebo = −11.67 mg/dl, [CI = −28.16 to − 4.81], [P = 0.96]), TG (HIIT + spirulina = −0.26 mg/dl, [CI = −21.14 to − 20.60], [P = 0.22] and HIIT + placebo = −11.81 mg/dl, [CI = −32.14 to − 8.46], [P = 0.14]), HDL-C (HIIT + spirulina = −3.38 mg/dl, [CI = −8.37 to − 1.59], [P = 0.15] and HIIT + placebo = −0.87 mg/dl, [CI = −5.11 to − 3.36], [P = 0.65]), LDL-C (HIIT + spirulina = −3.38 mg/dl, [CI = −17.69 to − 12.96], [P = 0.37] and HIIT + placebo = −6.31 mg/dl, [CI = −18.79 to − 6.16], [P = 0.21]), and WHR (HIIT + spirulina = −0.007 cm, [CI = −0.02 to − 0.04], [P = 0.59] and HIIT + placebo = −0.03 cm, [CI = −0.02 to − 0.08), [P = 0.25]). The results found significant decrease in BFP in (HIIT + spirulina = −3.57%, [CI = −5.79 to − 1.36], [P < 0.001] and HIIT + placebo = −2.21%, [CI = −3.79 to − 0.63], [P = 0.01]). Results indicted no significant inter- and intra-group differences in TC, TG, HDL-C, LDL-C, BMI, BFP, and WHR (P > 0.05). No unintended or any important harms was reported into both groups.
Table 1

Main descriptive characteristics of the population (age, cognitive status, body composition, lipid profiles, and biochemical factors) at baseline after 4 weeks of intervention are presented

VariableHIIT-SPIROHIIT-PLAP


PrePostPPrePostP
Body composition
 Weight (kg)73.88±14.5773.22±14.580.1672.70±2.3570.80±7.810.01*0.06
 BMI (kg/m2)29.54±3.9729.28±4.070.1029.13±2.0228.35±2.000.01*0.13
 WHR (cm)0.81±0.080.80±0.080.590.83±0.060.80±0.090.250.58
 BFP (%)30.58±3.0527.00±3.60<0.001*26.95±3.7024.74±2.000.01*0.83
Lipid profiles
 TG (mg/dl)94.09±61.4493.82±55.290.9786.57±33.2674.76±18.410.220.22
 TC (mg/dl)167.35±39.48163.24±38.850.69170.81±26.62159.13±23.850.140.82
 LDL-C (mg/dl)132.43±19.80125.32±30.590.37130.93±17.23123.04±10.900.210.88
 HDLC (mg/dl)54.23±6.9757.62±5.180.1559.49±3.8560.37±5.390.650.63
Biochemical factors
 Nesfatin-1 (mg/dl)0.47±0.551.35±1.05<0.001*0.54±0.580.66±0.910.610.04*
 Omentin-1 (mg/dl)29.91±10.4062.06±27.55<0.001*21.33±6.8643.51±20.470.03*0.49

Data are presented as mean±SD. *P<0.05. HIIT-SPIRO=High intensity interval training-spirulina; HIIT-PLA=High intensity interval training-placebo; BMI=Body mass index; WHR=Waist-hip ratio; BFP=Body fat percent; TG=Triglyceride; TC=Total cholesterol; LDL-C=Low density lipoprotein-chain; HDL-C=High density lipoprotein-chain; SD=Standard deviation

Main descriptive characteristics of the population (age, cognitive status, body composition, lipid profiles, and biochemical factors) at baseline after 4 weeks of intervention are presented Data are presented as mean±SD. *P<0.05. HIIT-SPIRO=High intensity interval training-spirulina; HIIT-PLA=High intensity interval training-placebo; BMI=Body mass index; WHR=Waist-hip ratio; BFP=Body fat percent; TG=Triglyceride; TC=Total cholesterol; LDL-C=Low density lipoprotein-chain; HDL-C=High density lipoprotein-chain; SD=Standard deviation

DISCUSSION

We investigated the effects of spirulina under HIIT on levels of nesfatin-1, omentin-1, and lipid profiles in overweight and obese females. The present study was a quasi-experimental model of spirulina and HIIT which was the first study and resulted in significant increase on serum levels of nesfatin-1, omentin-1, and improving body composition. In addition, we observed no significant improvement in lipid profiles after HIIT and spirulina intervention. The present investigation demonstrated no significant effects of HIIT in serum levels of nesfatin-1. Although lack of physical activity contributes to the prevalence of obesity-associated diseases and exercise can manage body composition in normal and obese individuals.[15] The results of the present study were similar to those seen by Ghanbari-Niak et al., who found that two different anaerobic exercise sessions had no significant effects on levels of nesfatin-1.[11] Findings of the present study are contrary to Ahmadizad et al., who reported that levels of nesfatin-1 were significantly increased after 6 weeks of HIIT.[16] In other study, Mogharnasi et al. observed that 10 weeks of resistance training increased significantly levels of nesfatin-1 in women with Type 2 diabetes mellitus.[17] Furthermore, Jafari and Mogharnasi found that levels of nesfatin-1 were increased in response to 8 weeks of endurance and strength training in overweight and obese women.[18] The contradiction reasons for the present study with other studies can be due to differences in duration and exercise intensity and diversity in the type of exercise.[19] Low number of subjects of the present study may be considereds a limitation responsible for no intergroup differences. The response of nesfatin-1 to HIIT is ambiguous. However, the increasing in the serum levels of nesfatin-1 following HIIT may be due to attribute to the greater production of lactate in HIIT. It has been demonstrated that the peripheral and central administration of lactate increases hypothalamic levels of lactate, which in turn, suppresses food intake through the hypothalamic AMP kinase/malonyl-CoA signaling system. Furthermore, lactate increases significantly the expression of proopiomelanocortin mRNA, which encodes α-MSH (anorectic molecule), that in turn, affects food intake in a similar manner to nesfatin-1.[1620] In addition, studies suggested that nesfatin-1 is affected by some factors. For example, serum levels of nesfatin-1 decreased 18% in fasting and it returns to normal levels after 12 h of re-feeding.[21] Tsuchiya et al. demonstrated that may be there is a negative correlation between BMI and levels of nesfatin-1.[22] In the present study, despite significant decrease of BMI, there were no significant changes on levels of nesfatin-1. However, effect of exercise on nesfatin-1 has not widely been investigated and there is no available information about the increase of levels of nesfatin-1 after spirulina consumption. Obesity is known a low-grade inflammation state which is related to the development of obesity-related disorders, anti-inflammatory nutritional interventions have identified as strategy to manage inflammatory status.[23] The omega-3 fatty acid, polyphenols, PC, and β-carotene are the main components of spirulina which are necessary in anti-inflammatory dietary patterns.[24] It seems that PC and β-carotene are the most effective antioxidative and anti-inflammatory components of spirulina.[24] This effect of spirulina on nesfatin-1 might be due to the anti-inflammatory properties of spirulina in HIIT + spirulina group. Other results of the present study demonstrated that HIIT protocol with and without spirulina supplementation can significantly increase serum levels of omentin-1 in overweight and obese women. The results are similar to those seen by Ouerghi et al., in which an 8-week HIIT increase significantly levels of omentin-1 in overweigh/obese youth.[12] Conversely, Nikseresht et al. found 12 weeks of moderate interval training had no change in omentin-1 in middle-age obese men.[25] Changing in levels of inflammation is an important factor in regulating the omentin-1 expression.[26] Physical activity is another effective strategy in regulating endocrine and metabolic process of body. It can increase basal metabolism by altering body composition and increasing muscle mass. The mechanism of the effect of HIIT on omentin-1 has not yet been well characterized. HIIT is appropriate training protocol which can decrease BFP and BMI and improve cardiovascular factors. Evidences showed that any alternation in levels of omentin-1 is almost due to reduction of weight, BFP, and BMI.[5] Since the adipose tissue is the main source of omentin-1 and increased of adipose tissue leads to the secretion of inflammatory adipokines and decrease in anti-inflammatory adipokines.[27] On other hand, it results in size of fat cells and thus in its secretion.[28] Hence, size of fat cells may be an effective factor that alters omentin-1 concentration which confirms the results of the present study. HIIT induced a reduction of visceral fat in overweight and obese people because it results in weight loss and calorie intake. Improvement of metabolic syndrome indexes following the reduction of weight may lead to increase in levels of omentin-1. Because it was indicated that hypoglycemia is an inhibitory factor in production of omentin-1.[29] The training and interaction effect of training and spirulina supplementation did not have a significant influence on LDL-C, TG, TC, and HDL levels after 4 weeks of HIIT. Whyte et al. studied the effect of 2 weeks of sprit interval training on lipid profiles of sedentary overweight/obese men.[30] The results of this study indicated that there were no significant changes on lipid profiles. Tjønna et al. observed that 3 months of aerobic interval training improved significantly HDL-C, BFP, and BMI in overweight adolescents.[31] Maybe low sample size was cause of results of the present study. Based on results of previous studies, it was indicated that changes in levels of lipoproteins are likely affected by changes in weight.[32] In addition, may be initial levels of factors at the beginning of the intervention caused results of the present study. In other words, lower levels of HDL-C and higher levels of TG and LDL-C of subjects are most affected by training. Hence, the higher initial levels of blood lipids induced to more tangible changed in lipid profile. However, results of the present study showed despite significant change of BMI and BFP, there was no significant change in lipid profile. In addition to low initial HDL-C levels, high volume of training caused to greater increase HDL-C levels.[1] Other studies reported that HDL-C and LDL-C are difficultly affected by HIIT, especially HDL-C, and they are most influenced by intensity and volume of exercise.[30] Kessler et al. in a review demonstrated that at least 8-week interval aerobic or anaerobic exercise are essential for significant increase of HDL-C, and it was observed no significant differences on lipid profiles in intervention lasting <8 weeks.[33] Maybe the type of training and short duration (4 weeks) of HIIT program is the main cause of the results of the present study. Thus, it seems normal initial lipid levels and short duration of training has led to no significant change in lipid profiles of this study. Spirulina has a hypolipidemic activity and decreases levels of liver profiles. The main component of spirulina that acts to decrease concentration of TG, TC, and LDL-C is PC. PC prevents the intestinal absorption of cholesterol and increases concentration of HDL-C.[34] In a study of Szulinska et al., it was found that 12-week of spirulina consumption decreased significantly levels of LDL-C in obese patients.[34] Moura et al. demonstrated that aerobic exercise and spirulina supplementation leaded to lower plasma concentrations of LDL-C in diabetic Wistar rats.[35] Previous studies have been demonstrated that there were no significant differences on lipid profiles in intervention <3 months of spirulina supplementation in obese hypertensive patients receiving standard hypotensive therapy.[3436] In the present study, interactive effects of HIIT and spirulina consumption could not improve TC, TG, LDL-C, and HDL-C that maybe due to insufficient dose and short duration of intervention. Also, the present study was probability the first one to examine interactive effect of HIIT and spirulina consumption on lipid profiles, it is required to be careful in interpreting the findings and need more further research. The short duration of the training and the use of spirulina supplementation encouraged all of the subjects to fully participate throughout this study. The results of this study can widely use for overweight and obese women. We did not observe any missing data in the present study. Therefore, these results are highly generalizable. The present study has some limitation. The small number of samples and control group is lacking. Other limitation of the preset study was lack of controlled subjects' diet. However, there is no evidence to suggest that subjects kept exactly the same normal dietary habits. Calories consumption and nutrition can alter circulation of nesfatin-1, omention-1, and body composition, levels of nesfatin-1 influences food intake. Finally, estimation of body fat based on skin thickness method was not as fully accurate as DEXA or MRI scans. Further studies are necessitated with higher sample size and dose of spirulina, and study duration and exercise duration. We expect dose of training program (e.g., duration, intensity, etc.) and supplementation will consider for design for; however, given the uncertain influences of spirulina on the results, more investigation is needed in future works to make more effective prescription in this overweight and obese population.

CONCLUSION

In summary, we concluded that effect of 4 weeks of spirulina supplementation under HIIT were efficient in alternating anti-inflammatory adipokines in overweight and obese females, with the most important contribution being the increase in levels of nesfatin-1 and omentin-1.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  27 in total

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Authors:  Nejmeddine Ouerghi; Mohamed Kacem Ben Fradj; Ikram Bezrati; Moncef Feki; Naziha Kaabachi; Anissa Bouassida
Journal:  Obes Facts       Date:  2017-08-05       Impact factor: 3.942

4.  Effects of upper-body resistance exercise training on serum nesfatin-1 level, insulin resistance, and body composition in obese paraplegic men.

Authors:  Mehdi Mogharnasi; Hossein TaheriChadorneshin; Seyed Amin Papoli-Baravati; Asma Teymuri
Journal:  Disabil Health J       Date:  2018-07-25       Impact factor: 2.554

5.  Detraining-induced alterations in adipokines and cardiometabolic risk factors after nonlinear periodized resistance and aerobic interval training in obese men.

Authors:  Mahmoud Nikseresht; Mohammad Reza Hafezi Ahmadi; Mehdi Hedayati
Journal:  Appl Physiol Nutr Metab       Date:  2016-05-27       Impact factor: 2.665

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Journal:  Food Funct       Date:  2018-09-19       Impact factor: 5.396

7.  Fasting concentrations of nesfatin-1 are negatively correlated with body mass index in non-obese males.

Authors:  Takafumi Tsuchiya; Hiroyuki Shimizu; Masanobu Yamada; Aya Osaki; Shinsuke Oh-I; Yasuyo Ariyama; Hiroki Takahashi; Shuichi Okada; Koshi Hashimoto; Tetsurou Satoh; Masaaki Kojima; Masatomo Mori
Journal:  Clin Endocrinol (Oxf)       Date:  2010-10       Impact factor: 3.478

8.  Omentin plasma levels and gene expression are decreased in obesity.

Authors:  Celia M de Souza Batista; Rong-Ze Yang; Mi-Jeong Lee; Nicole M Glynn; Dao-Zhan Yu; Jessica Pray; Kelechi Ndubuizu; Susheel Patil; Alan Schwartz; Mark Kligman; Susan K Fried; Da-Wei Gong; Alan R Shuldiner; Toni I Pollin; John C McLenithan
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9.  Association of nesfatin-1 level with body composition, dietary intake and resting metabolic rate in obese and morbid obese subjects.

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