Serum metabolomics identifies novel prognostic biomarkers in <i>amanita</i> poisoning.

ABSTRACT:

Background

Amanita poisoning causes 90%-95% of global mushroom-related deaths, yet early prognostic biomarkers for Amanita poisoning are lacking.

Methods

33 patients with Amanita poisoning were recruited and categorized into survival and death group. Multivariate logistic regression analysis was used to investigate the independent mortality risk factors for Amanita poisoning patients. Untargeted serum metabolomics was performed to screen the differentially expressed metabolites. The quality control samples were used to evaluate the stability and reproducibility of ultra performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS/MS) analytical system. The prognosis predictive metabolic biomarkers were identified by

SUBMITTER: Zhu D 

PROVIDER: S-EPMC12728034 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature