β-Cryptoxanthin ameliorates metabolic risk factors by regulating NF-κB and Nrf2 pathways in insulin resistance induced by high-fat diet in rodents

2017 ◽  
Vol 107 ◽  
pp. 270-279 ◽  
Author(s):  
Kazim Sahin ◽  
Cemal Orhan ◽  
Fatih Akdemir ◽  
Mehmet Tuzcu ◽  
Nurhan Sahin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
High Fat Diet ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
High Fat

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

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 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.

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