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...
| Autores: | , , , , |
|---|---|
| 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 |
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Bacterial metabolic signatures in MASLD predicted through gene-centric studies in stool metagenomesMedina Méndez, Juan Manuel|||0000-0002-3548-7491Iruzubieta Coz, PaulaFernandez López, RaúlCrespo, JavierCruz, Fernando de la|||0000-0003-4758-6857MASLDGut microbiomeMetagenomicsMetabolic genesMetabolitesFunctional profilingPlasmidsAccessory genomaBackground: 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.This work was funded by grant PID2020-1179236B-100 from the Spanish MINECO, grant PI22/01853 from the Spanish Carlos III Health Institute (ISCIII) and by HORIZON-HLTH-2022-STAYHLTH-02 (agreement No. 101095679) from the European Horizon’s research and innovation programBioMed CentralUniversidad de Cantabria20262026-01-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/40212BMC Microbiology, 2026, 26, 70reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:dnet:ucreareposit::f34b99eb3484e8c461eaa07477a536292026-06-02T12:39:31Z |
| dc.title.none.fl_str_mv |
Bacterial metabolic signatures in MASLD predicted through gene-centric studies in stool metagenomes |
| title |
Bacterial metabolic signatures in MASLD predicted through gene-centric studies in stool metagenomes |
| spellingShingle |
Bacterial metabolic signatures in MASLD predicted through gene-centric studies in stool metagenomes Medina Méndez, Juan Manuel|||0000-0002-3548-7491 MASLD Gut microbiome Metagenomics Metabolic genes Metabolites Functional profiling Plasmids Accessory genoma |
| title_short |
Bacterial metabolic signatures in MASLD predicted through gene-centric studies in stool metagenomes |
| title_full |
Bacterial metabolic signatures in MASLD predicted through gene-centric studies in stool metagenomes |
| title_fullStr |
Bacterial metabolic signatures in MASLD predicted through gene-centric studies in stool metagenomes |
| title_full_unstemmed |
Bacterial metabolic signatures in MASLD predicted through gene-centric studies in stool metagenomes |
| title_sort |
Bacterial metabolic signatures in MASLD predicted through gene-centric studies in stool metagenomes |
| dc.creator.none.fl_str_mv |
Medina Méndez, Juan Manuel|||0000-0002-3548-7491 Iruzubieta Coz, Paula Fernandez López, Raúl Crespo, Javier Cruz, Fernando de la|||0000-0003-4758-6857 |
| author |
Medina Méndez, Juan Manuel|||0000-0002-3548-7491 |
| author_facet |
Medina Méndez, Juan Manuel|||0000-0002-3548-7491 Iruzubieta Coz, Paula Fernandez López, Raúl Crespo, Javier Cruz, Fernando de la|||0000-0003-4758-6857 |
| author_role |
author |
| author2 |
Iruzubieta Coz, Paula Fernandez López, Raúl Crespo, Javier Cruz, Fernando de la|||0000-0003-4758-6857 |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Universidad de Cantabria |
| dc.subject.none.fl_str_mv |
MASLD Gut microbiome Metagenomics Metabolic genes Metabolites Functional profiling Plasmids Accessory genoma |
| topic |
MASLD Gut microbiome Metagenomics Metabolic genes Metabolites Functional profiling Plasmids Accessory genoma |
| description |
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. |
| publishDate |
2026 |
| dc.date.none.fl_str_mv |
2026 2026-01-01 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 NA http://purl.org/coar/version/c_be7fb7dd8ff6fe43 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/10902/40212 |
| url |
https://hdl.handle.net/10902/40212 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
BioMed Central |
| publisher.none.fl_str_mv |
BioMed Central |
| dc.source.none.fl_str_mv |
BMC Microbiology, 2026, 26, 70 reponame:UCrea Repositorio Abierto de la Universidad de Cantabria instname:Universidad de Cantabria (UC) |
| instname_str |
Universidad de Cantabria (UC) |
| reponame_str |
UCrea Repositorio Abierto de la Universidad de Cantabria |
| collection |
UCrea Repositorio Abierto de la Universidad de Cantabria |
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1869416204557352960 |
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15.812429 |