Computational modeling enables individual assessment of postprandial glucose and insulin responses after bariatric surgery.

ABSTRACT:

Background

Bariatric surgery enhances glucose metabolism, yet the detailed postprandial joint glucose and insulin responses, variability in individual outcomes, and differences in surgical approaches remain poorly understood.

Methods

We used hierarchical multi-output Gaussian process (HMOGP) regression to reveal clinically relevant patterns between persons undergoing two types of bariatric surgery by modeling the individual postprandial glucose and insulin responses and estimating the average response curves from individual data. 44 participants with obesity underwent either Roux-en-Y gastric bypass (RYGB; n = 24) or One-Anastomosis gastric bypass (OAGB; n = 20) surgery. The participants were followed up at the 6th and 12th months after the operation, during which they under

SUBMITTER: Poyraz O 

PROVIDER: S-EPMC12549876 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature