TEMPORAL PATTERNS OF HORMONAL RESPONSE TO BARIATRIC SURGERY: A DOSE-RESPONSE META-ANALYSIS yk2307992@qu.edu.qa

PW02-01

TEMPORAL PATTERNS OF HORMONAL RESPONSE TO BARIATRIC SURGERY: A DOSE-RESPONSE META-ANALYSIS

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Poster with Discussion

Obesity drives type 2 diabetes and cardiometabolic disease, requiring durable interventions targeting weight and metabolic dysfunction. Bariatric surgery remains the most effective treatment, with benefits largely driven by endocrine reprogramming. To capture the dynamic nature of hormonal changes, we conducted a dose-response meta-analysis modeling six key hormone trajectories after Roux-en-Y gastric (RYGB) bypass and sleeve gastrectomy (SG).

We conducted a systematic review and dose-response meta-analysis of studies reporting gut hormone changes after Roux-en-Y gastric bypass or sleeve gastrectomy. Following PRISMA guidelines, we searched PubMed, EMBASE, and Web of Science up to May 2024. Hormonal trajectories were modeled using robust error meta-regression with restricted cubic splines.

RYGB and SG demonstrated distinct hormonal trajectories, whereby RYGB was associated with sustained elevations in GLP-1 and PYY, along with significant reductions in GIP and leptin. SG showed persistent suppression of ghrelin, an earlier rise in adiponectin, and a more gradual leptin decline. Ghrelin levels rebounded following RYGB but remained suppressed after SG. The observed non-linear patterns emphasize the value of dynamic modeling in capturing these temporal hormone changes.

This dose-response meta-analysis reveals distinct, time-dependent hormonal adaptations following RYGB and SG. RYGB produced sustained increases in GLP-1 and PYY and reduced GIP, while SG induced early adiponectin elevation and durable ghrelin suppression. These endocrine profiles suggest that metabolic benefits extend beyond weight loss and may inform procedure selection. Our findings highlight the potential of dynamic hormone modeling to guide personalized treatment strategies, though future studies are needed to link these trajectories to long-term clinical outcomes.