Bariatric surgery in the era of personalized medicine

SERPINE-1 Gene Methylation and Protein as Molecular Predictors of Laparoscopic Sleeve Gastrectomy Outcome

BACKGROUND

Body weight is subjected to genetic and epigenetic modifiers that might affect the success of weight loss interventions. Because of its possible complications and disparity in patients' response, identification of predictors to the outcome of bariatric surgery is indispensable.

OBJECTIVES

This prospective study aims to investigate serpin peptidase inhibitor type 1 (SERPINE-1) protein and gene methylation as molecular predictors to the outcome of bariatric surgery.

PATIENTS AND METHODS

One hundred participants were enrolled and divided to control group (n = 50) and obese patients who underwent laparoscopic sleeve gastrectomy (LSG) (n = 50). Anthropometric measurements were assessed and blood samples were collected preoperatively and 6 months postoperatively for assessment of SERPINE-1 protein and gene methylation, C-reactive protein (CRP), and homeostatic model assessment of insulin resistance (HOMA-IR). Moreover, subjects were followed for 2 years for weight loss parameters.

RESULTS

Patients with obesity showed high baseline SERPINE-1 protein and gene hypermethylation where LSG was followed by a drop in SERPINE-1 protein level but not gene hypermethylation. Baseline SERPINE-1 gene methylation was negatively related to postoperative weight loss and was the independent predictor to weight loss after LSG. Likewise, postoperative SERPINE-1 protein was negatively related to weight loss with independent expression from its gene methylation state. Furthermore, postoperative SERPINE-1 gene methylation correlated to CRP and HOMA-IR.

CONCLUSION

Baseline SERPINE-1 gene methylation might be a predictor of weight loss after LSG. Meanwhile, postoperative SERPINE-1 protein could be a predictor to weight loss maintenance after LSG. Lastly, postoperative SERPINE-1 gene methylation might serve as an index to postoperative changes in obesity-related comorbidities.

Early postoperative weight loss predicts maximal weight loss after sleeve gastrectomy and Roux-en-Y gastric bypass

Background

Previous studies show that ‘poor responders’ to Roux-en-Y gastric bypass (RYGBP) may be identified on the basis of early postoperative weight loss. Early identification of poor responders could allow earlier provision of postoperative behavioural and/or intensive lifestyle interventions and enhance their maximal weight loss. Our aim was to investigate whether early postoperative weight loss predicts the maximal weight loss response after RYGBP and sleeve gastrectomy (SG).

Methods

We undertook a retrospective cross-sectional study of 1,456 adults who underwent either RYGBP (n = 918) or SG (n = 538) as a primary procedure in one of two European centres. Postoperative weight loss was expressed as weight loss velocity (WLV) and percentage weight loss. Linear regression analyses were performed to determine the association of early postoperative weight loss with maximal %WL, including adjustment for baseline variables.

Results

There was marked variability in maximal %WL following both RYGBP (mean 32.9 %, range 4.1–60.9 %) and SG (mean 26.2 %, range 1.1–58.3 %). WLV 3–6 months postoperatively was more strongly associated with maximal %WL (r² = 0.32 for RYGBP and r² = 0.26 for SG, P < 0.001 for both) than either WLV 0–6 weeks or 6 weeks to 3 months postoperatively (r² = 0.14 and 0.10 for RYGBP, respectively; r² = 0.18 and 0.21 for SG, respectively; P < 0.001 for all). Multiple linear regression analysis, including baseline variables of age, sex, preoperative BMI, type 2 diabetes, ethnicity, and bariatric centre, revealed that 3–6 month WLV was an independent predictor of maximal %WL in both SG and RYGBP groups (standardised β-coefficients 0.51 and 0.52, respectively; P < 0.001 for both).

Conclusions

There is a marked variability in weight loss response following RYGBP and SG. Early postoperative weight loss can be used to identify patients whose predicted weight loss trajectories are suboptimal. Early targeting of poor responders with more intensive postoperative lifestyle and behavioural support could potentially enhance their weight loss response.