Mogna-Peláez, PaolaRiezu-Boj, José IMilagro, Fermin IClemente-Larramendi, IñigoEsteban Echeverría, SergioHerrero, José IElorz, MarianaBenito-Boillos, AlbertoTobaruela-Resola, Ana LuzGonzález-Muniesa, PedroTur, Josep A.Martínez, J AlfredoAbete, ItziarZulet, M Angeles2025-01-082025-01-082024-12-04Mogna-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).https://hdl.handle.net/20.500.13003/21535Background/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.engAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Case-Control StudiesBacteriaAdultHumansMiddle AgedNon-alcoholic Fatty Liver DiseaseObesityFatty LiverGastrointestinal MicrobiomeMaleSex FactorsDysbiosisFemaleMachine Learningresearch articleFemeninoEnfermedad del Hígado Graso no AlcohólicoMicrobioma GastrointestinalMasculinoAprendizaje AutomáticoFactores SexualesHígado GrasoDisbiosisHumanosPersona de Mediana EdadObesidadAdultoEstudios de Casos y ControlesBacteriasGastrointestinal MicrobiomeHumansFemaleMaleMiddle AgedAdultSex FactorsDysbiosisMachine LearningFatty LiverCase-Control StudiesObesityBacteriaNon-alcoholic Fatty Liver Disease10.3390/nu162341982072-664339683591L20325723562-s2.0-85211813794001376497100001open access