Presence of metabolic risk factors in non-obese PCOS sisters: Evidence of heritability of insulin resistance

2004 ◽  
Vol 27 (10) ◽  
pp. 931-936 ◽  
Author(s):  
E. Diamanti-Kandarakis ◽  
K. Alexandraki ◽  
A. Bergiele ◽  
H. Kandarakis ◽  
G. Mastorakos ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Metabolic Risk Factors ◽  
Metabolic Risk

scholarly journals GW27-e0546 The Role of Insulin Resistance and Metabolic Risk Factors on Culprit Coronary Plaque

2016 ◽  
Vol 68 (16) ◽  
pp. C85
Author(s):  
Seung Hwan Han ◽  
Pyung Chun Oh ◽  
Min Soo Kim ◽  
Yae Min Park ◽  
Kwang Kon Koh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Coronary Plaque ◽  
Metabolic Risk Factors ◽  
Metabolic Risk

scholarly journals Associations between Sleep-Disordered Breathing and Metabolic Risk Factors beyond Obesity

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Yusuke Wakabayashi ◽  
Rie Oka ◽  
Masako Nakaya ◽  
Shigehiro Karashima ◽  
Mitsuhiro Kometani ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Sleep Disordered Breathing ◽  
Metabolic Risk Factors ◽  
Sensitivity Index ◽  
Metabolic Risk ◽  
Model Assessment ◽  
Obstructive Sleep ◽  
Low Hdl ◽  
Disordered Breathing

Objective. Individuals with multiple metabolic risk factors often experience concomitant sleep-disordered breathing (SDB). We aimed to determine the associations of SDB with individual components of metabolic syndrome independent of obesity.Methods. A cross-sectional study was conducted in 1137 employees aged 30–64 years. Apnea-hypopnea index (AHI) was assessed using a portable monitor for obstructive sleep apnea by admission. Of these, 451 participants took an oral glucose tolerance test to assess homeostatic model assessment of insulin resistance (HOMA-IR) and Matsuda insulin sensitivity index (ISI).Results. The odds ratio (OR) of the highest category of the AHI (≥15 episodes per hour) compared to the lowest one (<5 episodes per hour) was significantly elevated for hypertension, for hypertriglyceridemia, and for low HDL-cholesterolemia when adjusted for age, sex, and alcohol and smoking status (p<0.05). After further adjustment for body mass index (BMI) or waist circumference, the associations for hypertension still remained statistically significant (p<0.05) while those for hypertriglyceridemia and low HDL-cholesterolemia were no longer significant. The association between higher insulin resistance as assessed by HOMA-IR and Matsuda ISI and higher categories of the AHI was also lost after adjustment for BMI.Conclusion. Obesity was a strong confounding factor in the association between SDB and most metabolic risk factors including insulin resistance, except for hypertension. Further longitudinal study is needed to examine the temporal or causal relationships between SDB and metabolic risk factors. This trial is registered with UMIN-CTRUMIN000028067.

scholarly journals Contribution of visceral adiposity and insulin resistance to metabolic risk factors in Japanese men

Metabolism ◽  
2010 ◽  
Vol 59 (5) ◽  
pp. 748-754 ◽  
Author(s):  
Rie Oka ◽  
Junji Kobayashi ◽  
Akihiro Inazu ◽  
Kunimasa Yagi ◽  
Susumu Miyamoto ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Visceral Adiposity ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Japanese Men

scholarly journals Adipose and Circulating CCL18 Levels Associate With Metabolic Risk Factors in Women

2016 ◽  
Vol 101 (11) ◽  
pp. 4021-4029 ◽  
Author(s):  
Daniel Eriksson Hogling ◽  
Paul Petrus ◽  
Hui Gao ◽  
Jesper Bäckdahl ◽  
Ingrid Dahlman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Risk Score ◽  
Metabolic Risk Factors ◽  
Immune Gene ◽  
Metabolic Risk ◽  
Model Assessment ◽  
M2 Macrophages ◽  
Obese Women ◽  
Human Adipocytes

Context: Cardiometabolic complications in obesity may be linked to white adipose tissue (WAT) dysfunction. Transcriptomic studies of Sc WAT have reported that CCL18, encoding the CC chemokine ligand 18 (CCL18), is increased in obesity/insulin resistance but its functional role is unknown. Objective: Our objectives were to determine if CCL18 is secreted from Sc WAT and if secreted and/or serum levels associate with metabolic phenotypes. We also planned to define the primary cellular source and if CCL18 exerts effects on adipocytes. Design: This is a cohort study. Setting: The study took place in an outpatient academic clinic. Participants: A total of 130 obese women scheduled for bariatric surgery and 35 nonobese controls were included. Methods: Insulin sensitivity was assessed by hyperinsulinemic euglycemic clamp or homeostasis model assessment. CCL18 was analyzed in serum/WAT incubates by ELISA. Effects of recombinant CCL18 was determined in cultures of primary human adipocytes and the monocyte cell line THP-1 differentiated into M0/M1/M2 macrophages. Main Outcome Measure: Association with metabolic risk factors was measured. Results: CCL18 was secreted from WAT and the levels correlated positively with insulin resistance, Adult Treatment Panel III risk score and plasma triglycerides, independent of body mass index and better than other established adipocytokines. In 80 obese women, S-CCL18 levels were significantly higher in insulin resistant compared with insulin sensitive subjects. In WAT CCL18 mRNA was expressed in macrophages and correlated positively with immune-related genes, particularly those enriched in M2 macrophages. While CCL18 increased cyto-/chemokine expression in M0/M2-THP-1 cells, human adipocytes showed no responses in vitro. Conclusions: Circulating and WAT-secreted CCL18 correlates with insulin resistance and metabolic risk score. Because CCL18 is macrophage-specific and associates with adipose immune gene expression, it may constitute a marker of WAT inflammation.

Eating behaviour, insulin resistance and cluster of metabolic risk factors in European adolescents. The HELENA Study

Appetite ◽  
2012 ◽  
Vol 59 (1) ◽  
pp. 140-147 ◽  
Author(s):  
Maria A. Sesé ◽  
David Jiménez-Pavón ◽  
Chantal C. Gilbert ◽  
Marcela González-Gross ◽  
Frédéric Gottrand ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Eating Behaviour ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Helena Study
Sign in / Sign up

Export Citation Format

Share Document