scholarly journals Association of PPARγ2(Pro12Ala) and Neuropeptide Y (Leu7Pro) Gene Polymorphisms with Obstructive Sleep Apnea in Obese Asian Indians

2011 ◽  
Vol 30 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Bharat Bhushan ◽  
Randeep Guleria ◽  
Anoop Misra ◽  
Kalpana Luthra ◽  
Guresh Kumar
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Neuropeptide Y ◽  
Gene Polymorphisms ◽  
Asian Indians ◽  
Fasting Blood Glucose ◽  
Peroxisome Proliferator ◽  
Peroxisome Proliferator Activated Receptor ◽  
Skin Fold ◽  
Obstructive Sleep

Background:Obstructive sleep apnea (OSA) is prevalent in 7.5% in urban Asian Indians.Peroxisome proliferator activated receptor gamma2 (PPARγ2)has been implicated in adipocyte differentiation.Neuropeptide Y (NPY)is also considered as a candidate gene for excess body fat accumulation. The association ofPPARγ2 (Pro12Ala)andNPY (Leu7Pro)gene polymorphisms with OSA has not been studied in Asian Indians.Objective:To study the distribution ofPPARγ2 (Pro12Ala)andNPY (Leu7Pro)polymorphism in Asian Indians with and without OSA.Methods and results:This study was carried out in 252 obese subjects [(body mass index (BMI > 25 kg/m2)]; 142 with OSA and 110 without OSA. Measurements included anthropometric and biochemical parameters (fasting blood glucose, lipid profile, various circumferences and skin-fold thicknesses).PPARγ2 (Pro12Ala) and NPY (Leu7Pro) genepolymorphisms were studied in all subjects. The frequency of the variantallele (Ala12) of PPARγ2 genewas significantly higher in subjects with OSA (14.4%) when compared with subjects without OSA (5.5%; χ2= 9.7;p= 0.001). The distribution of the variantallele (Pro7)ofNPY genewas comparable in subjects with OSA (3.5%) and without OSA (3.6%; χ2= 0.001,p= 0.94).Conclusion:This study reveals a significantly higher frequency ofPPARγ2 (Ala12) allelein obese Asian Indians with OSA when compared to obese Asian Indians without OSA.

scholarly journals Relationship between zinc finger protein 36 (ZFP36) gene polymorphisms and obstructive sleep apnea

2015 ◽  
Vol 14 (2) ◽  
pp. 6733-6743 ◽  
Author(s):  
Y. Zhang ◽  
N.-F. Li ◽  
S. Abulikemu ◽  
D.-L. Zhang ◽  
Y.-C. Wang ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Zinc Finger ◽  
Gene Polymorphisms ◽  
Zinc Finger Protein ◽  
Finger Protein ◽  
Obstructive Sleep

Leptin and Leptin Receptor Gene Polymorphisms in Obstructive Sleep Apnea Syndrome

CHEST Journal ◽  
2008 ◽  
Vol 133 (1) ◽  
pp. 79-85 ◽  
Author(s):  
Masayuki Hanaoka ◽  
Xiujun Yu ◽  
Kazuhisa Urushihata ◽  
Masao Ota ◽  
Keisaku Fujimoto ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Obstructive Sleep Apnea Syndrome ◽  
Gene Polymorphisms ◽  
Leptin Receptor ◽  
Receptor Gene ◽  
Sleep Apnea Syndrome ◽  
Obstructive Sleep ◽  
Apnea Syndrome ◽  
Receptor Gene Polymorphisms

scholarly journals Association Study of Serotonin Transporter Gene Polymorphisms with Obstructive Sleep Apnea Syndrome in Chinese Han Population

SLEEP ◽  
2008 ◽  
Vol 31 (11) ◽  
pp. 1535-1541 ◽  
Author(s):  
Weihua Yue ◽  
Huiguo Liu ◽  
Jishui Zhang ◽  
Xianghui Zhang ◽  
Xiaoping Wang ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Serotonin Transporter ◽  
Gene Polymorphisms ◽  
Sleep Apnea Syndrome ◽  
Transporter Gene ◽  
Chinese Han ◽  
Han Population ◽  
Obstructive Sleep ◽  
Apnea Syndrome

scholarly journals Association between obstructive sleep apnea and metabolic syndrome: a meta-analysis

2016 ◽  
Vol 39 (5) ◽  
pp. 161 ◽  
Author(s):  
De-Lei Kong ◽  
Zheng Qin ◽  
Wei Wang ◽  
Ying Pan ◽  
Jian Kang ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Meta Analysis ◽  
Low Density Lipoprotein ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Standard Mean Difference ◽  
Obstructive Sleep

Purpose: Evidence suggests that obstructive sleep apnea (OSA) is related to metabolic syndrome; however, the relationship among metabolic syndrome parameters (blood pressure, fasting blood glucose (FBG), high density lipoprotein (HDL) and low density lipoprotein (LDL)) and OSA is unclear. Methods: PRISMA guidelines were followed for this study. Medline, Cochrane, EMBASE and Google Scholar databases were searched until December 23, 2015, using following terms: obstructive sleep apnea, sleep apnea, OSA and metabolic syndrome. Results: Ten studies were included in the analysis which included 2053 patients. Patients with OSA had higher systolic blood pressure (SBP) (pooled standard mean difference (SMD) = 0.56, 95% CI, 0.40 to 0.71, P

scholarly journals Usefulness of Cathepsin S to Predict Risk for Obstructive Sleep Apnea among Patients with Type 2 Diabetes

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Wanwan Wen ◽  
Haili Sun ◽  
Yunxiao Yang ◽  
Yifan Jia ◽  
Fang Fang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Fasting Blood Glucose ◽  
Area Under The Curve ◽  
Cathepsin S ◽  
Control Group ◽  
Apnea Hypopnea Index ◽  
Obstructive Sleep

Background. Obstructive sleep apnea (OSA) was highly prevalent in patients with type 2 diabetes (T2D). Cathepsin S (CTSS), a cysteine protease, is involved in the inflammatory activity in T2D and hypoxia conditions. The aim of the study was to evaluate whether CTSS could be involved in the inflammatory reaction of OSA in patients with T2D. Methods. We included 158 participants in this study matched for age, gender, and body mass index in 4 groups (control, non-OSA&T2D, OSA&non-T2D, and OSA&T2D). After overnight polysomnography, we collected the clinical data including anthropometrical characteristics, blood pressure, and fasting blood samples in the morning. Plasma CTSS concentration was evaluated using the human Magnetic Luminex Assay. Results. Compared with the control group, both the non-OSA&T2D group and the OSA&non-T2D group showed higher CTSS levels. Plasma CTSS expression was significantly increased in subjects with OSA&T2D compared to subjects with non-OSA&T2D. The OSA&T2D group had higher CTSS levels than the OSA&non-T2D group, but there were no statistically significant differences. Plasma CTSS levels showed significant correlation with the apnea-hypopnea index (AHI) (r=0.559, P<0.001) and plasma fasting blood glucose (r=0.427, P<0.001). After adjusting confounding factors, plasma CTSS levels were independently associated with the AHI (Beta: 0.386, 95% confidence intervals (CI): 21.988 to 57.781; P<0.001). Furthermore, we confirmed the higher pinpoint accuracy of plasma CTSS in the diagnosis of OSA (area under the curve: 0.868). Conclusions. Plasma CTSS expression was significantly elevated in the OSA&T2D group and was independently associated with the AHI; it could be a biomarker with a positive diagnostic value on diagnosing OSA among patients with T2D.

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