biostudies-literatureUnknown74(12)Lucas-Ruiz F<h4>Background</h4>Liver transplantation (LT) remains hampered by post-transplant complications. While gut microbiota dysbiosis has been linked to transplant outcomes, the role of the intrahepatic graft's native microbiota remains unexplored.<h4>Objective</h4>To characterise the microbial profile detected in organ preservation solution (OPS) and determine whether specific microbial taxa are associated with short-term clinical outcomes, and to develop predictive models for risk stratification.<h4>Design</h4>We analysed the OPS microbiota-based metataxonomic signature from 110 LT donors (discovery cohort) and an independent validation cohort (n=29) using 16S rRNA sequencing. Microbial DNA signatures associated with clinical outcomes were identified through MaAsLin2-adjusted models, and relevGut2058-2069https://www.ebi.ac.uk/biostudies/studies/S-EPMC12703288biostudies-literatureIntrahepatic donor microbiota-based metataxonomic signature detected in organ preservation solution enables prediction of short-term liver transplant outcomes.PMC12703288Alconchel FRios-Zambudio ACascales PRamirez PPelegrin PPons JAVidal-Correoso Dde la Torre-Alamo MMLopez-Lopez VJover-Aguilar MMateo SVBaroja-Mazo ALucas-Ruiz FMartinez-Alarcon LfalseIntrahepatic donor microbiota-based metataxonomic signature detected in organ preservation solution enables prediction of short-term liver transplant outcomes.<h4>Background</h4>Liver transplantation (LT) remains hampered by post-transplant complications. While gut microbiota dysbiosis has been linked to transplant outcomes, the role of the intrahepatic graft's native microbiota remains unexplored.<h4>Objective</h4>To characterise the microbial profile detected in organ preservation solution (OPS) and determine whether specific microbial taxa are associated with short-term clinical outcomes, and to develop predictive models for risk stratification.<h4>Design</h4>We analysed the OPS microbiota-based metataxonomic signature from 110 LT donors (discovery cohort) and an independent validation cohort (n=29) using 16S rRNA sequencing. Microbial DNA signatures associated with clinical outcomes were identified through MaAsLin2-adjusted models, and relev2025-01-01T00:00:00Z2025 Nov2026-06-06T03:44:38.971Z2026-05-25T03:11:21.925ZS-EPMC127032884080375210.1136/gutjnl-2025-335986