Identifier to cite or link to this item:
https://hdl.handle.net/20.500.13003/21535 Sex-Dependent Gut Microbiota Features and Functional Signatures in Metabolic Disfunction-Associated Steatotic Liver Disease
Loading...
View
Identifiers
eISSN: 2072-6643
DOI: 10.3390/nu16234198
WOS ID: 001376497100001
Scopus EID: 2-s2.0-85211813794
PMID: 39683591
Embase PUI: L2032572356
Authors
Mogna-Peláez, Paola
Riezu-Boj, José I
Milagro, Fermin I
Clemente-Larramendi, Iñigo
Esteban Echeverría, Sergio
Herrero, José I
Elorz, Mariana
Benito-Boillos, Alberto
Tobaruela-Resola, Ana Luz
González-Muniesa, Pedro
Advisors
Share
Date of defense
Publication date
2024-12-04
Document type
research article
Citation
Mogna-Peláez P, Riezu-Boj JI, Milagro FI, Clemente-Larramendi I, Esteban Echeverría S, Herrero JI, et al. Sex-Dependent Gut Microbiota Features and Functional Signatures in Metabolic Disfunction-Associated Steatotic Liver Disease. Nutrients. 2024 Dec 4;16(23).
Volume Title
Abstract
Background/Objectives: This study investigates the gut microbiota's role in metabolic dysfunction-associated steatotic liver disease (MASLD), focusing on microbial and functional signatures and sex-based differences. Methods: Using baseline data from 98 MASLD patients and 45 controls from the Fatty Liver in Obesity (FLiO) study, the gut microbiota was profiled with 16S gene sequencing, followed by statistical and machine learning analyses to identify disease-associated microbial signatures. Results: Notable alpha and beta diversity differences were observed between MASLD patients and the controls, varying by sex. Machine learning models highlighted specific microbial signatures for each sex, achieving high accuracy (area under the receiver operating characteristic curves of 0.91 for women and 0.72 for men). The key microbial taxa linked to MASLD included Christensenella and Limosilactobacillus in women and Beduinibacterium and Anaerotruncus in men. Functional profiling showed that MASLD patients had increased pathways for amine biosynthesis and amino acid degradation, while the controls exhibited enhanced fermentation pathways. These microbial features were associated with systemic inflammation, insulin resistance, and metabolite production linked to gut dysbiosis. Conclusions: The findings support the potential of gut microbiota signatures to be used as non-invasive indicators of MASLD and highlight sex-specific variations that could inform personalized diagnostic and therapeutic approaches.
Description
Publisher version
Research data
Referenced by
It is version of
It is versioned by
Keywords
MeSH
Case-Control Studies
Bacteria
Adult
Humans
Middle Aged
Non-alcoholic Fatty Liver Disease
Obesity
Fatty Liver
Gastrointestinal Microbiome
Male
Sex Factors
Dysbiosis
Female
Machine Learning
Bacteria
Adult
Humans
Middle Aged
Non-alcoholic Fatty Liver Disease
Obesity
Fatty Liver
Gastrointestinal Microbiome
Male
Sex Factors
Dysbiosis
Female
Machine Learning
DeCS
Femenino
Enfermedad del Hígado Graso no Alcohólico
Microbioma Gastrointestinal
Masculino
Aprendizaje Automático
Factores Sexuales
Hígado Graso
Disbiosis
Humanos
Persona de Mediana Edad
Obesidad
Adulto
Estudios de Casos y Controles
Bacterias
Enfermedad del Hígado Graso no Alcohólico
Microbioma Gastrointestinal
Masculino
Aprendizaje Automático
Factores Sexuales
Hígado Graso
Disbiosis
Humanos
Persona de Mediana Edad
Obesidad
Adulto
Estudios de Casos y Controles
Bacterias







