Interaction effects between characteristics of obstructive sleep apnea and obesity on dyslipidemia

Independent relationship between sleep apnea-specific hypoxic burden and glucolipid metabolism disorder: a cross-sectional study

OBJECTIVES

Obstructive sleep apnea (OSA) is associated with abnormal glucose and lipid metabolism. However, whether there is an independent association between Sleep Apnea-Specific Hypoxic Burden (SASHB) and glycolipid metabolism disorders in patients with OSA is unknown.

METHODS

We enrolled 2,173 participants with suspected OSA from January 2019 to July 2023 in this study. Polysomnographic variables, biochemical indicators, and physical measurements were collected from each participant. Multiple linear regression analyses were used to evaluate independent associations between SASHB, AHI, CT90 and glucose as well as lipid profile. Furthermore, logistic regressions were used to determine the odds ratios (ORs) for abnormal glucose and lipid metabolism across various SASHB, AHI, CT90 quartiles.

RESULTS

The SASHB was independently associated with fasting blood glucose (FBG) (β = 0.058, P = 0.016), fasting insulin (FIN) (β = 0.073, P < 0.001), homeostasis model assessment of insulin resistance (HOMA-IR) (β = 0.058, P = 0.011), total cholesterol (TC) (β = 0.100, P < 0.001), total triglycerides (TG) (β = 0.063, P = 0.011), low-density lipoprotein cholesterol (LDL-C) (β = 0.075, P = 0.003), apolipoprotein A-I (apoA-I) (β = 0.051, P = 0.049), apolipoprotein B (apoB) (β = 0.136, P < 0.001), apolipoprotein E (apoE) (β = 0.088, P < 0.001) after adjustments for confounding factors. Furthermore, the ORs for hyperinsulinemia across the higher SASHB quartiles were 1.527, 1.545, and 2.024 respectively, compared with the lowest quartile (P < 0.001 for a linear trend); the ORs for hyper-total cholesterolemia across the higher SASHB quartiles were 1.762, 1.998, and 2.708, compared with the lowest quartile (P < 0.001 for a linear trend) and the ORs for hyper-LDL cholesterolemia across the higher SASHB quartiles were 1.663, 1.695, and 2.316, compared with the lowest quartile (P < 0.001 for a linear trend). Notably, the ORs for hyper-triglyceridemia{1.471, 1.773, 2.099} and abnormal HOMA-IR{1.510, 1.492, 1.937} maintained a consistent trend across the SASHB quartiles.

CONCLUSIONS

We found SASHB was independently associated with hyperinsulinemia, abnormal HOMA-IR, hyper-total cholesterolemia, hyper-triglyceridemia and hyper-LDL cholesterolemia in Chinese Han population. Further prospective studies are needed to confirm that SASHB can be used as a predictor of abnormal glycolipid metabolism disorders in patients with OSA.

TRIAL REGISTRATION

ChiCTR1900025714 { http://www.chictr.org.cn/ }; Prospectively registered on 6 September 2019; China.

Obstructive Sleep Apnea and Obesity Are Associated with Hypertension in a Particular Pattern: A Retrospective Study

Obstructive sleep apnea (OSA) and obesity can increase the risk of hypertension, but the combined effects of these two conditions on hypertension are not yet known. We collected the basic characteristics, sleep parameters, and glucose levels of subjects with a polysomnography test and divided them into four groups, according to whether they had severe OSA and obesity or not. The main effects of severe OSA and obesity and the interactions of the two on systolic blood pressure (SBP) and diastolic blood pressure (DBP) levels were detected using analysis of covariance. The association between obesity and severe OSA and abnormal blood pressure and their combined effects were detected with logistic regression. In total, 686 subjects were included. After adjusting for multiple confounding factors, the strong main effects of obesity and severe OSA were detected in the SBP and DBP levels, with no combined effects from the two conditions on SBP or DBP. Obesity was independently associated with the presence of hyper-systolic blood pressure (hyper-SBP) and hypertension, and severe OSA was independently associated with the presence of hyper diastolic blood pressure (hyper-DBP) and hypertension. No effects of the interaction between severe OSA and obesity on the presence of abnormal blood pressure were observed. Both severe OSA and obesity were associated with hypertension, while obesity was closely associated with hyper-SBP, and severe OSA was associated with hyper-DBP. No effects of the interaction between these two on hypertension were observed.

Joint detection of miR-149-3p and hepcidin predicts the onset of obstructive sleep apnea syndrome in obese patients

Background

Obstructive sleep apnea syndrome (OSAS) is a potentially fatal sleep respiratory disorder, and hepcidin has been found to be related with OSAS onset and severity. This study aimed to examine the serum expression of microRNA-149-3p (miR-149-3p) and hepcidin in OSAS patients, and evaluate the predictive value of miR-149-3p and hepcidin for OSAS occurrence in obese population.

Methods

This study analyzed the data from 212 OSAS patients and 120 control individuals. OSAS severity was evaluated by apnea hypopnea index (AHI) from polysomnography. Serum miR-149-3p was examined using reverse transcription quantitative PCR, and hepcidin and inflammatory cytokines were measured using ELISA kits. Logistic regression analysis was used to evaluate the predictive value of miR-142-3p and hepcidin for OSAS in obese population, and ROC curve was plotted to assess the predictive accuracy.

Results

Serum miR-149-3p and hepcidin were increased in OSAS patients, especially in the severe cases, and had diagnostic potential to distinguish OSAS. High miR-149-3p and hepcidin were positively correlated with OSAS patients' inflammatory cytokines. Obese OSAS patients had the highest miR-149-3p and hepcidin levels, and the two molecules had predictive value of OSAS present in obese population, and the combination of miR-149-3p and hepcidin showed the highest predictive accuracy.

Conclusion

Serum miR-149-3p and hepcidin levels were elevated in OSAS patients and correlated with disease severity and systemic inflammation. miR-149-3p and hepcidin levels have diagnostic value to distinguish OSAS, exhibited predictive value for OSAS in obese population, and the joint detection of the two molecules showed the highest predictive accuracy.