AI Article Synopsis

  • The study investigates how surgical weight loss impacts inflammatory biomarkers related to sleep apnea, hypothesizing that weight loss would reduce sleep apnea severity and proinflammatory cytokine levels.
  • 23 morbidly obese adults were assessed before and after bariatric surgery, showing significant decreases in body mass index (BMI), apnea-hypopnea index (AHI), and several inflammatory markers, while other biomarkers like ghrelin and adiponectin increased.
  • Results indicate that the decrease in the biomarker sTNFαR2 is significantly linked to the improvement of sleep apnea post-surgery, suggesting it could be a reliable indicator of sleep apnea across different body weights.

Article Abstract

Background: The effects of surgical weight loss (WL) on inflammatory biomarkers associated with sleep apnea remain unknown. We sought to determine if any biomarkers can predict amelioration of sleep apnea achieved by bariatric surgery. We hypothesized that surgical WL would substantially reduce severity of sleep apnea and levels of proinflammatory cytokines.

Methods: Twenty-three morbidly obese adults underwent anthropometric measurements, polysomnography, and serum biomarker profiling prior to and 1 year following bariatric surgery. We examined the effect of WL and amelioration of sleep apnea on metabolic and inflammatory markers.

Results: Surgical WL resulted in significant decreases in BMI (16.7 ± 5.97 kg/m(2)/median 365 days), apnea-hypopnea index (AHI), CRP, IL-6, sTNFαR1, sTNFαR2, and leptin levels, while ghrelin, adiponectin, and soluble leptin receptor concentrations increased significantly. Utilizing an AHI cutoff of 15 events/h, we found significantly elevated levels of baseline sTNFαR2 and greater post-WL sTNFαR2 decreases in subjects with baseline AHI ≥15 events/h compared to those with AHI <15 events/h despite no significant differences in baseline BMI, age, and ΔBMI. In a multivariable linear regression model adjusting for sex, age, impaired glucose metabolism, ΔBMI, and follow-up period, the post-WL decreases in AHI were an independent predictor of the decreases in sTNFαR2 and altogether accounted for 46% of the variance of ΔsTNFαR2 (P = 0.011) in the entire cohort.

Conclusions: Of all the biomarkers, the decrease in sTNFαR2 was independently determined by the amelioration of sleep apnea achieved by bariatric surgery. The results suggest that sTNFαR2 may be a specific sleep apnea biomarker across a wide range of body weight.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4461237PMC
http://dx.doi.org/10.1007/s11695-011-0359-4DOI Listing

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