Longitudinal metabolite profiling of Streptococcus pneumoniae-associated community-acquired pneumonia.
Community-acquired pneumonia
High-dimensional data
Longitudinal data
Metabolomics
Personalized medicine
Journal
Metabolomics : Official journal of the Metabolomic Society
ISSN: 1573-3890
Titre abrégé: Metabolomics
Pays: United States
ID NLM: 101274889
Informations de publication
Date de publication:
05 Mar 2024
05 Mar 2024
Historique:
received:
14
07
2023
accepted:
17
01
2024
medline:
6
3
2024
pubmed:
5
3
2024
entrez:
5
3
2024
Statut:
epublish
Résumé
Longitudinal biomarkers in patients with community-acquired pneumonia (CAP) may help in monitoring of disease progression and treatment response. The metabolic host response could be a potential source of such biomarkers since it closely associates with the current health status of the patient. In this study we performed longitudinal metabolite profiling in patients with CAP for a comprehensive range of metabolites to identify potential host response biomarkers. Previously collected serum samples from CAP patients with confirmed Streptococcus pneumoniae infection (n = 25) were used. Samples were collected at multiple time points, up to 30 days after admission. A wide range of metabolites was measured, including amines, acylcarnitines, organic acids, and lipids. The associations between metabolites and C-reactive protein (CRP), procalcitonin, CURB disease severity score at admission, and total length of stay were evaluated. Distinct longitudinal profiles of metabolite profiles were identified, including cholesteryl esters, diacyl-phosphatidylethanolamine, diacylglycerols, lysophosphatidylcholines, sphingomyelin, and triglycerides. Positive correlations were found between CRP and phosphatidylcholine (34:1) (cor = 0.63) and negative correlations were found for CRP and nine lysophosphocholines (cor = - 0.57 to - 0.74). The CURB disease severity score was negatively associated with six metabolites, including acylcarnitines (tau = - 0.64 to - 0.58). Negative correlations were found between the length of stay and six triglycerides (TGs), especially TGs (60:3) and (58:2) (cor = - 0.63 and - 0.61). The identified metabolites may provide insight into biological mechanisms underlying disease severity and may be of interest for exploration as potential treatment response monitoring biomarker.
Identifiants
pubmed: 38441696
doi: 10.1007/s11306-024-02091-5
pii: 10.1007/s11306-024-02091-5
pmc: PMC10914916
doi:
Substances chimiques
C-Reactive Protein
9007-41-4
Biomarkers
0
Triglycerides
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
35Informations de copyright
© 2024. The Author(s).
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