Weight Loss Improves Cardio-Metabolic and Inflammatory State in Subjects with Metabolic Syndrome.

AbstractMetabolic syndrome (MetS) is a condition characterized by a constellation of reversible major risk factors for cardiovascular disease (CVD) and type 2 diabetes (T2DM). While it has been widely demonstrated that weight reduction by 5–10% decreases CVD and T2DM risk factors, including atherogenic dyslipidemia, on the other hand, its effects on comprehensive serum cytokine profile and endotoxemia are less investigated. Furthermore, the impact of weight loss on these parameters was studied especially in subjects with morbid obesity, often after bariatric surgery; while the studies on the effects of a physiological weight reduction with a balanced hypocaloric diet in overweight and moderately obese subjects showed contradictory results.The aim of this pilot study was to investigate in overweight and obese men with MetS the effects of caloric restriction on the MetS-associated risk factors, chemical composition of lipoproteins and serum concentration of a wide spectrum of inflammation markers. In addition, the second purpose of this work was to study the possible correlation between lipoprotein chemical composition and these inflammation markers.Eighteen adult Caucasian males (25 kg/m2 < BMI < 35 kg/m2) with MetS losing at least 5% of their initial weight after six months of a Mediterranean-style balanced hypo-caloric diet were included in the study. Lipoproteins were isolated from plasma by ultracentrifugation in a discontinuous KBr gradient. Lipoprotein concentrations of proteins, cholesterol, phospholipids, and triacylglycerols were determined by colorimetric assays. Peripheral cytokine levels (IL-2, IL-6, IL-7, IL-8, IL-10, IL-12, IL-17, GM-CSF, MCP-1, MIP-1b, IL1-b, IL-4, IL-5, IL-13, G-CSF, INF-g, TNF-a) were determined by Bioplex multiplex immunoassay. Endotoxemia was measured by Limulus Amebocyte lysate assay. The effects of weight-loss were analysed by Wilcoxon's test, the correlations between covariates by Spearman's test (significance: p-value ≤ 0.05).After weight loss, we observed an improvement of MetS-associated risk factors and changes in lipoproteins composition. In particular, together with a reduction of triglyceridemia, we detected a massive transfer of triacylglycerols from HDLs toward LDLs. Furthermore, a significant decrease of IL-6 (0.9 ± 0.7 vs 0.5 ± 0.6), TNF-α (0.7 ± 0.3 vs 0.3 ± 0.18), IL-8 (1.6 ± 0.7 vs 1.3 ± 0.3) and MIP-1β (19.2 ± 1.5 vs 18.5 ± 1.5) was observed. Finally, peripheral levels of TNF-α and IL-8 were directly correlated with all lipid species of VLDL, whereas the concentration of MIP-1β and endotoxin with HDL lipids.Weight loss improved cardio-metabolic risk factors and decreased inflammatory state by reduction of cytokine levels. The relationships between lipoprotein composition and serum inflammation markers deserve to be deepened by studying broader populations.

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Diagnostic Power of Circulatory Metabolic Biomarkers as Metabolic Syndrome Risk Predictors in Community-Dwelling Older Adults in Northwest of England (A Feasibility Study)

Nutrients ◽

10.3390/nu13072275 ◽

2021 ◽

Vol 13 (7) ◽

pp. 2275

Author(s):

Razieh Hassannejad ◽

Hamsa Sharrouf ◽

Fahimeh Haghighatdoost ◽

Ben Kirk ◽

Farzad Amirabdollahian

Keyword(s):

Risk Factors ◽

Older Adults ◽

Metabolic Syndrome ◽

Roc Analysis ◽

Cross Validation ◽

Community Dwelling ◽

Tnf Α ◽

Diagnostic Power ◽

Metabolic Biomarkers ◽

Community Dwelling Older Adults

Background: Metabolic Syndrome (MetS) is a cluster of risk factors for diabetes and cardiovascular diseases with pathophysiology strongly linked to aging. A range of circulatory metabolic biomarkers such as inflammatory adipokines have been associated with MetS; however, the diagnostic power of these markers as MetS risk correlates in elderly has yet to be elucidated. This cross-sectional study investigated the diagnostic power of circulatory metabolic biomarkers as MetS risk correlates in older adults. Methods: Hundred community dwelling older adults (mean age: 68.7 years) were recruited in a study, where their blood pressure, body composition and Pulse Wave Velocity (PWV) were measured; and their fasting capillary and venous blood were collected. The components of the MetS; and the serum concentrations of Interleukin-6 (IL-6), Tumor Necrosis Factor-α (TNF-α), Plasminogen Activator Inhibitor-I (PAI-I), Leptin, Adiponectin, Resistin, Cystatin-C, C-Reactive Protein (CRP), insulin and ferritin were measured within the laboratory, and the HOMA1-IR and Atherogenic Index of Plasma (AIP) were calculated. Results: Apart from other markers which were related with some cardiometabolic (CM) risk, after Bonferroni correction insulin had significant association with all components of Mets and AIP. These associations also remained significant in multivariate regression. The multivariate odds ratio (OR with 95% confidence interval (CI)) showed a statistically significant association between IL-6 (OR: 1.32 (1.06–1.64)), TNF-α (OR: 1.37 (1.02–1.84)), Resistin (OR: 1.27 (1.04–1.54)) and CRP (OR: 1.29 (1.09–1.54)) with MetS risk; however, these associations were not found when the model was adjusted for age, dietary intake and adiposity. In unadjusted models, insulin was consistently statistically associated with at least two CM risk factors (OR: 1.33 (1.16–1.53)) and MetS risk (OR: 1.24 (1.12–1.37)) and in adjusted models it was found to be associated with at least two CM risk factors and MetS risk (OR: 1.87 (1.24–2.83) and OR: 1.25 (1.09–1.43)) respectively. Area under curve (AUC) for receiver operating characteristics (ROC) demonstrated a good discriminatory diagnostics power of insulin with AUC: 0.775 (0.683–0.866) and 0.785 by cross validation and bootstrapping samples for at least two CM risk factors and AUC: 0.773 (0.653–0.893) and 0.783 by cross validation and bootstrapping samples for MetS risk. This was superior to all other AUC reported from the ROC analysis of other biomarkers. Area under precision-recall curve for insulin was also superior to all other markers (0.839 and 0.586 for at least two CM risk factors and MetS, respectively). Conclusion: Fasting serum insulin concentration was statistically linked with MetS and its risk, and this link is stronger than all other biomarkers. Our ROC analysis confirmed the discriminatory diagnostic power of insulin as CM and MetS risk correlate in older adults.

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Weight loss but not gains in cardiorespiratory fitness after exercise-training predicts improved health risk factors in metabolic syndrome

Nutrition Metabolism and Cardiovascular Diseases ◽

10.1016/j.numecd.2018.08.004 ◽

2018 ◽

Vol 28 (12) ◽

pp. 1267-1274 ◽

Cited By ~ 10

Author(s):

R. Mora-Rodriguez ◽

J.F. Ortega ◽

F. Morales-Palomo ◽

M. Ramirez-Jimenez

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Weight Loss ◽

Exercise Training ◽

Health Risk ◽

Cardiorespiratory Fitness ◽

Health Risk Factors

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Effects of Extreme Weight Loss on Cardiometabolic Health in Children With Metabolic Syndrome: A Metabolomic Study

Frontiers in Physiology ◽

10.3389/fphys.2021.731762 ◽

2021 ◽

Vol 12 ◽

Author(s):

Jingxin Liu ◽

Lin Zhu ◽

Jing Liao ◽

Xiaoguang Liu

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Weight Loss ◽

Body Composition ◽

Organic Acids ◽

Cardiometabolic Risk ◽

The Body ◽

Cardiometabolic Risk Factors ◽

Plasma Metabolites ◽

Cardiometabolic Health

Objectives: To evaluate the effect of extreme weight loss programs on circulating metabolites and their relationship with cardiometabolic health in children with metabolic syndrome.Methods: This study was a quasi-experimental design with a pretest and post-test. Thirty children with metabolic syndrome and aged 10–17years were recruited to an extreme weight loss program (i.e., exercise combined with diet control). The primary outcomes included plasma metabolites, body composition, and cardiometabolic risk factors. A total of 324 metabolites were quantitatively detected by an ultra-performance liquid chromatography coupled to tandem mass spectrometry system, and the variable importance in the projection (VIP) value of each metabolite was calculated by the orthogonal projection to latent structures discriminant analysis. The fold change (FC) and p value of each metabolite were used to screen differential metabolites with the following values: VIP>1, p value<0.05, and |log2FC|>0.25. Pathway enrichment and correlation analyses between metabolites and cardiometabolic risk factors were also performed.Result: A large effect size was observed, presenting a weight loss of −8.9kg (Cohen’s d=1.00, p<0.001), body mass index reduction of −3.3kg/m2 (Cohen’s d=1.47, p<0.001), and body fat percent reduction of −4.1 (%) (Cohen’s d=1.22, p<0.001) after the intervention. Similar improvements were found in total cholesterol (Cohen’s d=2.65, p<0.001), triglycerides (Cohen’s d=2.59, p<0.001), low-density lipoprotein cholesterol (Cohen’s d=2.81, p<0.001), glucose metabolism, and blood pressure. A total of 59 metabolites were changed after the intervention (e.g., aminoacyl-tRNA biosynthesis, glycine, serine, and threonine metabolism; nitrogen metabolism, tricarboxylic acid cycle, and phenylalanine, tyrosine, and tryptophan biosynthesis). The changes in metabolites (e.g., amino acids, fatty acids, organic acids, and carnitine) were related to lipid metabolism improvement (p<0.05). Organic acids and carnitines were associated with changes in the body composition (p<0.05).Conclusion: Exercise combined with dietary control improved the body composition and cardiometabolic health in children with metabolic syndrome, and these changes may be related to plasma metabolites.

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Evaluation of Metabolic Syndrome and Its Associated Risk Factors in Type 2 Diabetes: A Descriptive Cross-Sectional Study at the Komfo Anokye Teaching Hospital, Kumasi, Ghana

BioMed Research International ◽

10.1155/2019/4562904 ◽

2019 ◽

Vol 2019 ◽

pp. 1-8 ◽

Cited By ~ 7

Author(s):

Francis Agyemang-Yeboah ◽

Benjamin Ackon Jnr. Eghan ◽

Max Efui Annani-Akollor ◽

Eliezer Togbe ◽

Sampson Donkor ◽

...

Keyword(s):

Risk Factors ◽

Type 2 Diabetes ◽

Metabolic Syndrome ◽

Waist Circumference ◽

Teaching Hospital ◽

The Body ◽

Diabetic Patients ◽

Study Population ◽

Associated Risk Factors

Background. Metabolic syndrome (MS) is a collection of cardiovascular risk factors comprising insulin resistance, dyslipidemia, obesity, and hypertension, which may cause further complications in diabetes. Although metabolic syndrome (MS) is increasing in incidence in diabetics and leading to significant cardiovascular diseases and mortality, there is dearth of data in Ghana. This study investigated metabolic syndrome, its prevalence, and its associated risk factors in type 2 diabetes at the Komfo Anokye Teaching Hospital, Kumasi, Ghana. Methods. The study involved 405 diabetic patients attending the Diabetic Clinic of the Komfo Anokye Teaching Hospital (KATH) Kumasi, in the Ashanti Region of Ghana. A well-structured questionnaire was used to obtain demographic background such as their age and gender. Anthropometric measurements were obtained using the Body Composition Monitor (Omron ® 500, Germany) which generated digital results on a screen and also by manual methods. Fasting venous blood was collected for the measurement of biochemical parameters comprising fasting plasma glucose (FPG), glycated haemoglobin (HbA1c), high density lipoprotein cholesterol (HDL-c), and triglyceride (TG). Metabolic syndrome was defined according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III). Results. Out of the total of 405 participants, 81 were males and 324 were females, and the estimated mean age was 58.5 ± 9.9 years. The female patients exhibited higher mean waist circumference (WC) and mean hip circumference (HC) as well as an approximately higher body mass index than males (28.3 ± 5.1, 26.5 ± 4.2 for the female and male respectively). Overall, the prevalence of metabolic syndrome observed among the study population was 90.6%. Conclusions. The prevalence of metabolic syndrome observed among the study population was 90.6%, with a higher percentage in females than males. High triglyceride levels and high waist circumference were the main risk factors for MS in the diabetic population.

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Short-term weight loss in overweight/obese low-income women improves plasma zinc and metabolic syndrome risk factors

Journal of Trace Elements in Medicine and Biology ◽

10.1016/j.jtemb.2010.05.001 ◽

2010 ◽

Vol 24 (4) ◽

pp. 271-276 ◽

Cited By ~ 11

Author(s):

Venkata Saroja Voruganti ◽

Guowen Cai ◽

Deborah M. Klohe ◽

Kristine C. Jordan ◽

Michelle A. Lane ◽

...

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Weight Loss ◽

Low Income ◽

Plasma Zinc ◽

Short Term ◽

Low Income Women

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Effects of a 3-Week In-Hospital Body Weight Reduction Program on Cardiovascular Risk Factors, Muscle Performance, and Fatigue: A Retrospective Study in a Population of Obese Adults with or without Metabolic Syndrome

Nutrients ◽

10.3390/nu12051495 ◽

2020 ◽

Vol 12 (5) ◽

pp. 1495 ◽

Cited By ~ 1

Author(s):

Antonello E. Rigamonti ◽

Sabrina Cicolini ◽

Diana Caroli ◽

Alessandra De Col ◽

Massimo Scacchi ◽

...

Keyword(s):

Metabolic Syndrome ◽

Weight Loss ◽

Body Weight ◽

Weight Reduction ◽

Hdl Cholesterol ◽

Muscle Performance ◽

Weight Reduction Program ◽

Body Weight Reduction ◽

Reduction Program ◽

Obese Subjects

Background. In clinical practice, there is the diffuse conviction that obese subjects with metabolic syndrome may be more difficult to treat. Objectives and Methods. The aim of the present study was that to investigate the effectiveness of a 3-week in-hospital body weight reduction program (BWRP) in a large population of obese subjects with and without metabolic syndrome (n = 1922; 222 men and 1700 women, age range 18–83 yr). Outcomes such as body mass index (BMI), total (TOT) and HDL cholesterol, systolic and diastolic blood pressures (SBP and DBP, respectively), coronary heart disease (CHD) score, fatigue severity score (FSS), and stair climbing test (SCT) time were evaluated before and after the intervention (Δ). A sex-, BMI-, and age-related stratification of the obese population with or without metabolic syndrome was applied. Results. When compared to obese subjects without metabolic syndrome, at the basal conditions, obese subjects had a poorer cardiometabolic profile, as demonstrated by higher triglycerides, TOT-cholesterol, DBP, SBP, and CHD score, and a more compromised muscle performance (evaluated by SCT), associated with more perception of fatigue (measured by FSS). Nevertheless, obese subjects with metabolic syndrome obtained more benefits from BWRP than those without metabolic syndrome for some outcomes (i.e., ΔTOT-cholesterol, ΔSBP, and ΔCHD score). Despite these differences, the BWRP-induced weight loss was similar between the two groups (i.e., ΔBMI) as well as the gain of muscle performance (i.e., ΔSCT) and the reduction of fatigue (i.e., ΔFSS). Interestingly, the potentially deleterious fall in HDL-cholesterol levels after BWRP was less evident in obese subjects with metabolic syndrome than those without metabolic syndrome. When pooling all data, the ΔCHD score was associated with age, sex, and metabolic syndrome. The remaining outcomes, such as ΔBMI, ΔFSS, and ΔSCT time, were associated with sex and age but not with metabolic syndrome. Finally, ΔBMI was positively correlated with ΔCHD score, ΔFSS, and ΔSCT time in both obese subjects without metabolic syndrome and obese subjects with metabolic syndrome. Conclusions. When comparing obese subjects undergoing a BWRP, metabolic syndrome is not a negative predictive factor affecting the effectiveness of this intervention in terms of weight loss, muscle performance, and psychological well-being.

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Prevalence of metabolic syndrome and associated risk factors among tribal adolescents of Gujarat

Diabetes & Metabolic Syndrome Clinical Research & Reviews ◽

10.1016/j.dsx.2020.06.040 ◽

2020 ◽

Vol 14 (5) ◽

pp. 995-999 ◽

Cited By ~ 1

Author(s):

Nupur Mahajan ◽

Gautam Kumar Kshatriya

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Associated Risk Factors

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Adipose Inflammation in Obesity: Relationship With Circulating Levels of Inflammatory Markers and Association With Surgery-Induced Weight Loss

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/jc.2013-2673 ◽

2014 ◽

Vol 99 (1) ◽

pp. E53-E61 ◽

Cited By ~ 46

Author(s):

Julie Lasselin ◽

Eric Magne ◽

Cédric Beau ◽

Patrick Ledaguenel ◽

Sandra Dexpert ◽

...

Keyword(s):

Gene Expression ◽

Bariatric Surgery ◽

Weight Loss ◽

Adipose Tissue ◽

Visceral Adipose Tissue ◽

Inflammatory Markers ◽

Tnf Α ◽

Inflammatory State ◽

Adipose Inflammation ◽

Visceral Adipose

Context: The inflammatory state of the adipose tissue is believed to contribute to systemic low-grade inflammation in obesity. Objective: This study assessed the relationship between adipose and circulating inflammatory markers as well as the influence of adipose inflammation on bariatric surgery-induced weight reduction. Design: This was a cross-sectional and longitudinal study (up to 14 mo). Setting: The study was conducted in the digestive/bariatric surgery department of the Tivoli and Jean Villar clinics, Bordeaux, France. Patients: Thirty-seven obese patients [body mass index (BMI) > 35–40 kg/m2)] seeking bariatric surgery were included. Twenty-eight of them were successively followed up at 1–3 months after surgery and 25 between 6 and 14 months after surgery. Main Outcome Measures: Fasting serum samples were collected before surgery to assess concentrations of inflammatory markers. Samples of visceral adipose tissue were extracted during surgery and gene expression of cytokines and immune cell markers were evaluated using quantitative RT-PCR. Pre- and postsurgery weight and BMI were collected. Results: Gene expression of several cytokines were strongly intercorrelated in the visceral adipose tissue. Adipose expression of macrophage and T cell markers were related to adipose expression of TNF-α and IL-1 receptor antagonist (P < .01) and to systemic levels of TNF-α (P < .01) and IL-6 (P < .05). A higher inflammatory state of the adipose tissue predicted a lower BMI reduction after surgery (P < .05), notably at early stages after surgery. Conclusions: These findings support the involvement of macrophages and T cells in adipose inflammation and provide new information regarding the role of the visceral adipose tissue in the inflammatory state of obesity and its impact on obesity treatment outcomes, such as surgery-induced weight loss.

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