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Dataset Information

Prognostic biomarkers for sepsis mortality based on the literature and LC-MS-based metabolomics of sepsis patients.


ABSTRACT:

Objectives

The management of sepsis, a potentially lethal overreaction to infection, is limited by the lack of prognostic tools to guide its treatment. Our aim is to identify a novel metabolic biomarker panel for predicting sepsis mortality based on a literature review and liquid chromatography-mass spectrometry (LC-MS)-based metabolomics.

Methods

In the literature, we found metabolomics biomarkers reported to predict sepsis mortality. We determined the classifications, reported frequency, and KEGG pathway enrichment of these markers. Using serum samples from 20 sepsis survivors and 20 non-survivors within 28 days after admission to the intensive care unit (ICU), we performed LC-MS-based metabolomics. Based on the literature review and metabolomics, a prognostic biomarker pa

SUBMITTER: Feng S 

PROVIDER: S-EPMC10579003 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature