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Dataset Information

Metabolite profiles associated with disease progression in influenza infection.


ABSTRACT:

Background

We performed metabolomic profiling to identify metabolites that correlate with disease progression and death.

Methods

We performed a study of adults hospitalized with Influenza A(H1N1)pdm09. Cases (n = 32) were defined by a composite outcome of death or transfer to the intensive care unit during the 60-day follow-up period. Controls (n = 64) were survivors who did not require transfer to the ICU. Four hundred and eight metabolites from eight families were measured on plasma sample at enrollment using a mass spectrometry based Biocrates platform. Conditional logistic regression was used to summarize the association of the individual metabolites and families with the composite outcome and its major two components.

Results

The ten metabolites with the stronges

SUBMITTER: Wendt CH 

PROVIDER: S-EPMC8018623 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature