De Pessemier, B. | Search bioRxiv

bioRxiv2026

Indigenous Yanomami gut microbiota protects against diet-induced metabolic dysfunction

Industrialization profoundly alters the human gut microbiota, reducing microbial diversity and eliminating taxa prevalent in non-industrialized populations. These microbiota alterations accompanying industrialization might contribute to the increasing prevalence of obesity and other chronic inflammatory diseases, yet direct experimental evidence remains lacking. We compared the gut microbiota of Indigenous Brazilian Yanomami and urban Belgian donors and transplanted these into germ-free (GF) mice subjected to high-fat diet (HFD). The Yanomami microbiota exhibited greater richness and distinct composition enriched for VANISH (Volatile and/or Associated Negatively with Industrialized Societies of Humans) taxa. Transplantation of Yanomami microbiota significantly attenuated HFD-induced metabolic dysfunction, reducing weight gain, diabetes incidence, and promoting adipose and hepatic Th2 immunity. Yanomami-derived microbial communities displayed enhanced ecological stability and enrichment for short-chain fatty acid-associated taxa and metabolic functions post-HFD. Our findings demonstrate that the microbiota from low-urbanization populations confer protection against diet-induced metabolic disease, highlighting ecological resilience and specific microbial functions as potential targets for microbiota-inspired therapeutics.

microbiology↗

bioRxiv2026

Multi-omics Analyses of Facial Skin in Acne Identify Distinct Microbial and Metabolic Features at Lesional and Non-lesional Sites

The microbial and biochemical landscape of clinically normal-appearing skin in individuals with acne remains uncharacterized. Here, we performed longitudinal multi-omics profiling of facial skin from 10 individuals with moderate acne and 10 healthy controls, integrating 16S rRNA gene sequencing, shotgun metagenomics, and untargeted metabolomics across lesional and non-lesional sites. Compositional tensor factorization revealed that non-lesional acne skin occupies a distinct intermediate state between healthy and lesional skin in both the microbiome and the metabolome. Machine learning models distinguished healthy from non-lesional acne skin with 70% accuracy, demonstrating that molecular dysbiosis occurs in areas of the skin without visible lesions. Non-lesional sites exhibited reduced microbial diversity, strain-level shifts in Corynebacterium and Lawsonella correlating with disease severity, and metabolic alterations, including elevated lipids and perturbed amino acid and dipeptide profiles. Microbe-metabolite co-occurrence network analyses revealed that healthy skin is enriched for protective metabolites such as urocanic acid, while acne-associated skin shows distinct co-occurrence patterns. These findings establish that acne represents a field effect disorder, with molecular alterations extending beyond visible lesions to encompass the entire facial skin ecosystem. This molecular signature of pre-lesional skin provides potential biomarkers for early intervention and suggests that effective acne treatment may require holistic approaches targeting the broader skin environment rather than individual lesions alone.

microbiology↗