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Dataset Information

Multiomics unravels the complexity of male obesity: a prospective observational study.


ABSTRACT:

Background

Obesity is associated with varying degrees of metabolic dysfunction. In this study, we aimed to discover markers of the severity of metabolic impairment in men with obesity via a multiomics approach.

Methods

Thirty-two morbidly men with obesity who were candidates for Roux-en-Y gastric bypass (RYGB) surgery were prospectively followed. Nine healthy adults served as controls. Deep phenotyping, including targeted metabolomics, transcriptomics, and brain magnetic resonance imaging (MRI), was performed.

Results

Testosterone emerged as a key contributor to phenotypic variability via principal component analysis and was therefore used to further categorize obese patients as having or not having hypogonadotropic hypogonadism (HH). Despite having comparable body ma

SUBMITTER: Papadakis GE 

PROVIDER: S-EPMC11783726 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature