A Larger Body Mass Index is Associated with Increased Atherogenic Dyslipidemia, Insulin Resistance, and Low-Grade Inflammation in Individuals with Metabolic Syndrome

2015 ◽  
Vol 13 (10) ◽  
pp. 458-464 ◽  
Author(s):  
Kolin Ebron ◽  
Catherine J. Andersen ◽  
David Aguilar ◽  
Christopher N. Blesso ◽  
Jacqueline Barona ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Atherogenic Dyslipidemia ◽  
Low Grade ◽  
Low Grade Inflammation

scholarly journals Metabolic Syndrome: Updates on Pathophysiology and Management in 2021

2022 ◽  
Vol 23 (2) ◽  
pp. 786
Author(s):  
Gracia Fahed ◽  
Laurence Aoun ◽  
Morgan Bou Zerdan ◽  
Sabine Allam ◽  
Maroun Bou Zerdan ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Clinical Syndrome ◽  
Clinical Entity ◽  
Historical Background ◽  
Atherogenic Dyslipidemia ◽  
Low Grade ◽  
Increased Risk ◽  
Heavy Burden ◽  
Low Grade Inflammation

Metabolic syndrome (MetS) forms a cluster of metabolic dysregulations including insulin resistance, atherogenic dyslipidemia, central obesity, and hypertension. The pathogenesis of MetS encompasses multiple genetic and acquired entities that fall under the umbrella of insulin resistance and chronic low-grade inflammation. If left untreated, MetS is significantly associated with an increased risk of developing diabetes and cardiovascular diseases (CVDs). Given that CVDs constitute by far the leading cause of morbidity and mortality worldwide, it has become essential to investigate the role played by MetS in this context to reduce the heavy burden of the disease. As such, and while MetS relatively constitutes a novel clinical entity, the extent of research about the disease has been exponentially growing in the past few decades. However, many aspects of this clinical entity are still not completely understood, and many questions remain unanswered to date. In this review, we provide a historical background and highlight the epidemiology of MetS. We also discuss the current and latest knowledge about the histopathology and pathophysiology of the disease. Finally, we summarize the most recent updates about the management and the prevention of this clinical syndrome.

scholarly journals The effects of metformin plus sulfonylurea therapy on clinical features of the metabolic syndrome

2010 ◽  
Vol 63 (9-10) ◽  
pp. 611-615 ◽  
Author(s):  
Branka Koprivica ◽  
Teodora Beljic-Zivkovic ◽  
Tatjana Ille
Keyword(s):  
Insulin Resistance ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Glycemic Control ◽  
Body Mass ◽  
Combined Therapy

Introduction. Insulin resistance is a well-known leading factor in the development of metabolic syndrome. The aim of this study was to evaluate metabolic effects of metformin added to sulfonylurea in unsuccessfully treated type 2 diabetic patients with metabolic syndrome. Material and methods. A group of thirty subjects, with type 2 diabetes, secondary sulfonylurea failure and metabolic syndrome were administered the combined therapy of sulfonylurea plus metformin for six months. Metformin 2000 mg/d was added to previously used sulfonylurea agent in maximum daily dose. Antihypertensive and hypolipemic therapy was not changed. The following parameters were assessed at the beginning and after six months of therapy: glycemic control, body mass index, waist circumference, blood pressure, triglycerides, total cholesterol and its fractions, homeostatic models for evaluation of insulin resistance and secretion (HOMA R, HOMA B) and C- peptide. Results. Glycemic control was significantly improved after six months of the combined therapy: (fasting 7.89 vs. 10.61 mmol/l. p<0.01; postprandial 11.12 vs. 12.61 mmol/l. p<0.01, p<0.01; glycosylated hemoglobin 6.81 vs. 8.83%. p<0.01). the body mass index and waist circumference were significantly lower (26.7 vs. 27.8 kg/m2, p<0.01 and 99.7 vs. 101.4 cm for men, p<0.01; 87.2 vs. 88.5 for women, p<0.01). Fasting plasma triglycerides decreased from 3.37 to 2.45 mmol/l (p<0.001) and HOMA R from 7.04 to 5.23 (p<0.001). No treatment effects were observed on blood pressure, cholesterol, and residual insulin secretion. Conclusion. Administration of metformin in type 2 diabetes with metabolic syndrome decreased cardiovascular risk factors by reducing glycemia, triglycerides, BMI, central obesity and insulin resistance.

scholarly journals Circulating Irisin in Relation to Insulin Resistance and the Metabolic Syndrome

2013 ◽  
Vol 98 (12) ◽  
pp. 4899-4907 ◽  
Author(s):  
Kyung Hee Park ◽  
Lesya Zaichenko ◽  
Mary Brinkoetter ◽  
Bindiya Thakkar ◽  
Ayse Sahin-Efe ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Cvd Risk ◽  
Baseline Serum ◽  
The Metabolic Syndrome ◽  
Increased Risk

Context: Irisin, a recently identified hormone, has been proposed to regulate energy homeostasis and obesity in mice. Whether irisin levels are associated with risk of the metabolic syndrome (MetS), cardiometabolic variables, and cardiovascular disease (CVD) risk in humans remains unknown. Objective: Our objective was to assess the associations between baseline serum irisin levels and MetS, cardiometabolic variables, and CVD risk. Design, Setting, and Subjects: We conducted a comparative cross-sectional evaluation of baseline circulating levels of the novel hormone irisin and the established adipokine adiponectin with MetS, cardiometabolic variables, and CVD risk in a sample of 151 subjects. Results: Baseline irisin levels were significantly higher in subjects with MetS than in subjects without MetS. Irisin was associated negatively with adiponectin (r = −0.4, P &lt; .001) and positively with body mass index (r = 0.22, P = .008), systolic (r = 0.17, P = .04) and diastolic (r = 0.27, P = .001) blood pressure, fasting glucose (r = 0.25, P = .002), triglycerides (r = 0.25, P = .003), and homeostasis model assessment for insulin resistance (r = 0.33, P &lt; .001). After adjustment for potential confounders, including body mass index, subjects in the highest tertile of irisin levels were more likely to have MetS (odds ratio [OR] = 9.44, 95% confidence interval [CI] = 2.66–33.44), elevated fasting blood glucose (OR = 5.80, 95% CI = 1.72–19.60), high triglycerides (OR = 3.89, 95% CI = 1.16–13.03), and low high-density lipoprotein cholesterol (OR = 3.30, 95% CI = 1.18–9.20). Irisin was independently associated with homeostasis model assessment for insulin resistance and general Framingham risk profile in multiple linear regression analyses after adjustment for confounders. Adiponectin demonstrated the expected associations with outcomes. Conclusions: Irisin is associated with increased risk of MetS, cardiometabolic variables, and CVD in humans, indicating either increased secretion by adipose/muscle tissue and/or a compensatory increase of irisin to overcome an underlying irisin resistance in these subjects.

scholarly journals Insulin resistance in relation to clinical, endocrine and metabolic profile of infertile women with polycystic ovary syndrome

2021 ◽  
Vol 14 (1) ◽  
pp. 1-6
Author(s):  
Shakeela Ishrat ◽  
Marufa Hossain ◽  
Subrata Kumar Biswas
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Polycystic Ovary Syndrome ◽  
Body Mass ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Infertile Women ◽  
Significant Difference

The objective of this study is to explore how hyperinsulinemia and insulin resistance relate to the clinical, endocrine and metabolic factors in the infertile women with polycystic ovary syndrome. This study was conducted on 121 consecutive infertile women with polycystic ovary syndrome attending the Infertility unit from January 2017 to December 2017. They were divided into two groups: insulin resistant and insulin sensitive. There was significant difference in body mass index and waist circumference between the two groups. Serum lipids were not associated with insulin resistance. Hyperinsulinemia was significantly associated with metabolic syndrome. Reducing body mass index and waist circumference may improve insulin resistance in infertile women with polycystic ovary syndrome. Screening the infertile women with polycystic ovary syndrome for hyperinsulinemia and insulin resistance and subsequent counseling is recommended to address the long-term risks of metabolic syndrome.

scholarly journals The effect of insulin resistance on inflammation markers in individuals with obesity

2021 ◽  
Vol 8 (10) ◽  
pp. 619-622
Author(s):  
Hasan Atlı ◽  
Erhan Önalan ◽  
Burkay Yakar ◽  
Deccane Duzenci ◽  
Emir Dönder
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Body Mass ◽  
Normal Body Mass Index ◽  
Low Grade ◽  
Inflammation Markers ◽  
Predictive Values ◽  
Lymphocyte Ratio ◽  
Normal Body ◽  
Significant Difference

Objective: Obesity has recently been recognized as a chronic low-grade inflammation condition. We aimed to compare the predictive values of insulin resistance and inflammatory indices in individuals with obesity. Materials and Methods: 124 people who had a health check for obesity-related risk factors in our hospital between June 2018 and September 2019 were included in the study. Inflammatory markers of the patients were evaluated. Results: The study group consists of a total of 224 people, and we compared the demographic data and laboratory parameters of the individuals. C-reactive protein (CRP) levels of obese individuals were statistically higher than those with normal body mass index (p <0.001). There was no statistically significant difference between the groups in terms of neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) values, among other inflammation markers. A positive and statistically significant correlation was found between body mass index and CRP level (r = 0.334, p <0.001). There was no significant correlation between body mass index and NLR and PLR. Conclusion: As a result, CRP levels of obese individuals were statistically higher than individuals with normal body mass index. No statistically significant difference was found between the groups in terms of NLR and PLR values among other inflammation markers.

Association of smoking status, insulin resistance, body mass index, and metabolic syndrome in workers: A 1-year follow-up study

2010 ◽  
Vol 4 (3) ◽  
pp. e163-e169 ◽  
Author(s):  
Tomoyuki Kawada ◽  
Toshiaki Otsuka ◽  
Hirofumi Inagaki ◽  
Yoko Wakayama ◽  
Qing Li ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Smoking Status ◽  
Follow Up Study

Metabolic Syndrome and Insulin Resistance Significantly Correlate with Body Mass Index

2008 ◽  
Vol 39 (8) ◽  
pp. 803-808 ◽  
Author(s):  
Alireza Esteghamati ◽  
Omid Khalilzadeh ◽  
Mehdi Anvari ◽  
Maral Seyed Ahadi ◽  
Mehrshad Abbasi ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass

Body mass index status is effective in identifying metabolic syndrome components and insulin resistance in Pacific Island teenagers living in New Zealand

Metabolism ◽  
2008 ◽  
Vol 57 (4) ◽  
pp. 511-516 ◽  
Author(s):  
Andrea M. Grant ◽  
Finau K. Taungapeau ◽  
Kirsten A. McAuley ◽  
Rachael W. Taylor ◽  
Sheila M. Williams ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
New Zealand ◽  
Body Mass ◽  
Pacific Island ◽  
Body Mass Index Status ◽  
Metabolic Syndrome Components
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