bioRxivBioinformaticsPreprint
Gut microbial ecosystems differ across metabolic and obesity phenotypes
Blanca Lacruz-PleguezuelosiD, Guadalupe X. BazániD, Sergio Romero-TapiadoriD, Gala FreixeriD, Jorge Fernández-CabezasiD, Elena Aguilar-AguilariD, Adrián Martín‐SeguraiD, Lara Paula FernándeziD, Isabel Espinosa‐SalinasiD, Ana Ramı́rez de MolinaiD, Aythami MoralesiD, Rubén TolosanaiD, Javier Ortega-GarcíaiD, Véra PancaldiiD, Laura Judith Marcos-ZambranoiD, Enrique Carrillo de Santa PauiD
Abstract
Obesity is a heterogeneous condition comprising a continuum of phenotypes with various metabolic and inflammatory profiles. Metabolically healthy obesity (MHO) identifies individuals with obesity but a relatively preserved metabolic state. However, the criteria defining MHO remain inconsistent, and little is known about the gut microbiome (GM) features underlying this intermediate phenotype. Here, we aim to describe microbial structures contributing to metabolic health and disease. To do so, we analyzed the GM of 959 individuals classified as metabolically healthy non-obese (MHNO), MHO, metabolically unhealthy non-obese (MUNO), and metabolically unhealthy obese (MUO), using stool shotgun metagenomics. MHO subjects display intermediate anthropometric and biochemical profiles, with a GM composition and diversity in an in-between state among MHNO and MUO individuals. Network science analyses reveal that metabolic health, rather than obesity, drives microbial connectivity: MHNO and MHO individuals harbor more robust and functionally cohesive microbial networks, whose most influential nodes are focused toward SCFA production. In contrast, MUO and MUNO communities exhibit a dysbiotic state with reduced connectivity and increased influence of low-abundance, ectopic and potentially pro-inflammatory species resulting in a damaged, unstable microbial community network. These findings suggest that metabolic disorders disrupt microbial ecology beyond compositional shifts, emphasizing the need for systems-level approaches. Our findings show differences in microbial connectivity and association patterns across metabolic and obesity phenotypes, shedding light on how distinct microbial structures may contribute to metabolic health and disease.
- organism: human
- assay: metagenomics
- research focus: differential expression
- approach: statistical model
- Citations
- 1
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