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Dataset Information

Discovery and Validation of Urinary Molecular Signature of Early Sepsis.


ABSTRACT: Identify alterations in gene expression unique to systemic and kidney-specific pathophysiologic processes using whole-genome analyses of RNA isolated from the urinary cells of sepsis patients.

Design

Prospective cohort study.

Setting

Quaternary care academic hospital.

Patients

A total of 266 sepsis and 82 control patients enrolled between January 2015 and February 2018.

Interventions

Whole-genome transcriptomic analysis of messenger RNA isolated from the urinary cells of sepsis patients within 12 hours of sepsis onset and from control subjects.

Measurements and main results

The differentially expressed probes that map to known genes were subjected to feature selection using multiple machine learning techniques to find the best subset of probes that differ

SUBMITTER: Bandyopadhyay S 

PROVIDER: S-EPMC7523873 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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