DOI 10.1097/shk.0000000000002722
A Multiomics Analysis Reveals a Gut Microbiome: LPC Metabolic Axis Driving Postoperative Inflammation in Cardiopulmonary Bypass Patients.
Аннотация
BACKGROUND
Patients undergoing cardiac surgery with cardiopulmonary bypass (CSCPB) are at substantial postoperative risk, which may be influenced by alterations in gut microbiota and metabolites. The roles of these biological changes in postoperative outcomes remain inadequately explored.
METHODS
We collected 54 preoperative samples and 33 postoperative samples from 60 CSCPB patients. Metagenomic and metabolomic sequencing were performed to identify the gut microbiota and serum and fecal metabolites. We examined the dynamic pattern of these microbiota and metabolites, as well as their associations with the postoperative risks. Additionally, we developed a predictive model for postoperative risk based on preoperative microbiome and metabolome data.
RESULTS
We revealed significant alterations of gut microbiota ( P = 0.012), serum metabolites ( P = 3.50 e-10 ), and fecal metabolites ( P = 0.0081) in patients following CSCPB, among which lysophosphatidylcholines (LPCs) exhibited notable changes. Particularly, we identified a potential regulatory function of the microbiota on LPC metabolism, which further influences the postoperative risk. The predictive model for intensive care unit stay duration achieved a mean absolute error of 1.27 days and an R² of 0.63, suggesting its utility in assessing postoperative risk. Also, our study provides a valuable resource (catalogue GM3C) for further investigation into potential medical targets in CSCPB patients, comprising more than 2,000 metagenome-assembled genomes and 3 million unigenes.
CONCLUSIONS
Our study reveals that the gut microbiome and LPC-centered metabolism form a functional network influencing postoperative risk in CSCPB patients. These findings underscore the role of gut-derived signals in modulating noninfectious inflammatory responses and host imbalance, offering a multiomics framework for decoding systemic complications beyond classical sepsis paradigms.
TRIAL REGISTRATION: ClinicalTrials.gov (NCT04032938). Registered 25 July 2019, https://clinicaltrials.gov/study/NCT04032938#study-record-dates .
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
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