Bacterial metabolic signatures in MASLD predicted through gene-centric studies in stool metagenomes

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a multifactorial condition in which the gut microbiome (GM) plays a central role. However, taxonomic associations derived from 16S ribosomal RNA (rRNA) gene studies have yielded inconsistent results, likely due to limite...

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Detalles Bibliográficos
Autores: Medina Méndez, Juan Manuel|||0000-0002-3548-7491, Iruzubieta Coz, Paula, Fernandez López, Raúl, Crespo, Javier, Cruz, Fernando de la|||0000-0003-4758-6857
Tipo de recurso: artículo
Fecha de publicación:2026
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:dnet:ucreareposit::f34b99eb3484e8c461eaa07477a53629
Acceso en línea:https://hdl.handle.net/10902/40212
Access Level:acceso abierto
Palabra clave:MASLD
Gut microbiome
Metagenomics
Metabolic genes
Metabolites
Functional profiling
Plasmids
Accessory genoma
Descripción
Sumario:Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a multifactorial condition in which the gut microbiome (GM) plays a central role. However, taxonomic associations derived from 16S ribosomal RNA (rRNA) gene studies have yielded inconsistent results, likely due to limited resolution and functional redundancy across taxa. We aimed to identify robust, functionally relevant microbial markers of MASLD using metagenomics and gene-centric profiling. Methods: We analyzed 554 fecal metagenomes from three independent cohorts. Sequencing reads were quality-controlled and taxonomically profiled with multi-marker gene resolution. We quantified the abundance of over 50 target gene families involved in butyrate, methane, trimethylamine (TMA) and short-chain alcohol (SCAs, i.e., ethanol and propanol) metabolism. Their presence was also determined across complete GM genomes and plasmids. Results: Genes involved in butyrate and methane production tended to show lower abundance in MASLD, particularly in cirrhosis, while TMA- and SCA-producing genes were frequently enriched. These functional shifts were accompanied by the depletion of Agathobacter rectalis. Many of the altered genes were highly accessory and encoded on plasmids, suggesting genome-specific functional divergence driven by horizontal gene transfer. Conclusion: MASLD is characterized by a shift toward alcohol- and TMA-producing metabolism, alongside reduced butyrate and methane production -changes driven by accessory and plasmid-borne genes. Gene-centric and mobile genetic element-aware profiling reveals mechanistic microbial contributions to MASLD that remain undetected by taxonomy-based approaches, offering new targets for diagnosis and intervention.