2026-06-08T08:28:11Zhttps://docta.ucm.es/rest/oai/request
oai:docta.ucm.es:20.500.14352/1037112025-03-18T11:54:19Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense author Martínez Sanz, Javier author Talavera Rodríguez, Alba author Díaz Álvarez, Jorge author Rosas Cancio-Suárez, Marta author Rodríguez Gómez, Juan Miguel author Alba Rubio, Claudio author Montes, María Luisa author Martín Mateos, Rosa author Burgos Santamaría, Diego author Moreno, Santiago author Serrano Villar, Sergio author Sánchez Conde, Matilde 2024-04-30T14:54:50Z 2024-04-30T14:54:50Z 2023-12-14 Martínez-Sanz J, Talavera-Rodríguez A, Díaz-Álvarez J, Rosas Cancio-Suárez M, Rodríguez JM, Alba C, Montes ML, Martín-Mateos R, Burgos-Santamaría D, Moreno S, Serrano-Villar S and Sánchez Conde M (2023) A gut microbiome signature for HIV and metabolic dysfunction-associated steatotic liver disease. Front. Immunol. 14:1297378. doi: 10.3389/fimmu.2023.1297378 1664-3224 10.3389/fimmu.2023.1297378 https://hdl.handle.net/20.500.14352/103711 https://doi.org/10.3389/fimmu.2023.1297378 Introduction: Metabolic dysfunction-associated steatotic liver disease (MASLD), has emerged as an increasingly recognized problem among people living with HIV (PLWH). The gut-liver axis is considered to be strongly implicated in the pathogenesis of MASLD. We aimed to characterize the gut microbiota composition in PLWH and MASLD and compare it with that of two control groups: PLWH without MASLD and individuals with MASLD without HIV infection. Methods: We collected clinical data and stool samples from participants. Bacterial 16S rRNA genes were amplified, sequenced, and clustered into operational taxonomic unit. Alpha diversity was studied by Shannon and Simpson indexes. To study how different the gut microbiota composition is between the different groups, beta diversity estimation was evaluated by principal coordinate analysis (PCoA) using Bray-Curtis dissimilarity. To further analyze differences in microbiome composition we performed a linear discriminant analysis (LDA) effect size (LEfSe). Results: We included 30 HIV+MASLD+, 30 HIV+MASLD- and 20 HIV-MASLD+ participants. Major butyrate producers, including Faecalibacterium, Ruminococcus, and Lachnospira dominated the microbiota in all three groups. Shannon’s and Simpson’s diversity metrics were higher among MASLD+ individuals (Kruskal-Wallis p = 0.047). Beta diversity analysis showed distinct clustering in MASLD-, with MASLD+ participants overlapping regardless of HIV status (ADONIS significance <0.001). MASLD was associated with increased homogeneity across individuals, in contrast to that observed in the HIV+NAFDL- group, in which the dispersion was higher (Permanova test, p value <0.001; ANOSIM, p value <0.001). MASLD but not HIV determined a different microbiota structure (HIV+MASLD- vs. HIV+MASLD+, q-value = 0.002; HIV-MASLD+ vs. HIV+MASLD+, q-value = 0.930; and HIV-MASLD+ vs. HIV+MASLD-, q-value < 0.001). The most abundant genera in MASLD- were Prevotella, Bacteroides, Dialister, Acidaminococcos, Alloprevotella, and Catenibacterium. In contrast, the most enriched genera in MASLD+ were Ruminococcus, Streptococcus, Holdemanella, Blautia, and Lactobacillus. Conclusions: We found a microbiome signature linked to MASLD, which had a greater influence on the overall structure of the gut microbiota than HIV status alone. eng Attribution 4.0 International A gut microbiome signature for HIV and metabolic dysfunction-associated steatotic liver disease journal article 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