Project description:Lean nonalcoholic fatty liver disease (NAFLD) is increasingly recognized as a distinct clinical phenotype with limited evidence for effective non-pharmacological interventions and unclear mechanistic pathways. Aerobic exercise is recommended for NAFLD management; however, its effects and the gut microbiota–associated mechanisms in lean NAFLD remain incompletely understood. This dataset was generated from a randomized controlled trial (ClinicalTrials.gov identifier: NCT04882644). Participants assigned to the aerobic exercise intervention group provided fecal samples at baseline and after the 3-month intervention. A total of 33 paired fecal samples were included in this dataset. Gut microbiota profiles were generated using shotgun metagenomic sequencing. The dataset includes processed and de-identified species-level relative abundance tables derived from fecal samples collected before and after the intervention. These data were used to characterize exercise-induced alterations in gut microbial composition and interindividual variability in microbiota responses to aerobic exercise in lean NAFLD. The data support integrative analyses with clinical phenotypes and circulating metabolomic profiles to explore gut microbiota–associated mechanisms underlying the metabolic benefits of aerobic exercise.
Project description:Our hypothesis was that conducting proteomic analysis on clinical laboratory samples which are intended for the fecal calprotectin test would enable the develop-ment of a highly sensitive and specific non-invasive stool test based on mass spec-trometry. To investigate this hypothesis, we combined and applied our expertise in basic research, clinical practice, and bioinformatics to develop a precise ma-chine-learning model for the accurate diagnosis of active IBD from symptomatic non-IBDpatients.
Project description:This study aims to understand the systemic component of psoriasis pathogenesis since psoriasis patients have higher risk of developing diesases beyond skin inflammation. In this study, we collected sigmoidal gut biopsies to profile host transcriptomic changes associated with psoriasis patients and healthy subjects. This exepriment provided transcriptomic dataset of host response and is integrated with fecal metagenomic data and flow cytometry dataset as part of the multi-omic study.