Metabolic profiles in community-acquired pneumonia: developing assessment tools for disease severity

Critical Care : the Official Journal of the Critical Care Forum
Pu NingZhancheng Gao

Abstract

This study aimed to determine whether community-acquired pneumonia (CAP) had a metabolic profile and whether this profile can be used for disease severity assessment. A total of 175 individuals including 119 CAP patients and 56 controls were enrolled and divided into two cohorts. Serum samples from a discovery cohort (n = 102, including 38 non-severe CAP, 30 severe CAP, and 34 age and sex-matched controls) were determined by untargeted ultra-high-performance liquid chromatography with tandem mass spectrometry (LC-MS/MS)-based metabolomics. Selected differential metabolites between CAP patients versus controls, and between the severe CAP group versus non-severe CAP group, were confirmed by targeted mass spectrometry assays in a validation cohort (n = 73, including 32 non-severe CAP, 19 severe CAP and 22 controls). Pearson's correlation analysis was performed to assess relationships between the identified metabolites and clinical severity of CAP. The area under the curve (AUC), sensitivity and specificity of the metabolites for predicting the severity of CAP were also investigated. The metabolic signature was markedly different between CAP patients and controls. Fifteen metabolites were found to be significantly dysregulated in C...Continue Reading

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Citations

Jul 29, 2020·Critical Care : the Official Journal of the Critical Care Forum·Mohammad M BanoeiBrent W Winston
Oct 10, 2020·Expert Review of Anti-infective Therapy·Alexander RombautsJordi Carratalà
Jan 30, 2021·Frontiers in Molecular Biosciences·Shaobing XieWeihong Jiang
Feb 9, 2021·Frontiers in Medicine·Ralf A Claus, Markus H Graeler
Jun 5, 2021·PloS One·Ilona den HartogJ G Coen van Hasselt
Jun 29, 2021·Romanian Journal of Internal Medicine = Revue Roumaine De Médecine Interne·Katerina SpasovskaEmilija Atanasovska
Jul 23, 2021·The European Respiratory Journal·Hongling JiaHuiying Liang

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Methods Mentioned

BETA
PCA
ESR

Software Mentioned

DA
MedCalc
MetaboAnalyst
SPSS
OPLS
TraceFinder
SIMCA

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