Longitudinal metabolite profiling of Streptococcus pneumoniae-associated community-acquired pneumonia

Introduction 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...

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Published in:Metabolomics 2024-03, Vol.20 (2), p.35-35, Article 35
Main Authors: den Hartog, Ilona, Zwep, Laura B., Meulman, Jacqueline J., Hankemeier, Thomas, van de Garde, Ewoudt M. W., van Hasselt, J. G. Coen
Format: Article
Language:English
Subjects:
Amines
Biochemistry
Biomarkers
Biomedical and Life Sciences
Biomedicine
C-Reactive Protein
Cell Biology
Developmental Biology
Diglycerides
Esters
Humans
Lecithin
Length of stay
Life Sciences
Lipid metabolism
Metabolites
Metabolomics
Molecular Medicine
Organic acids
Original
Original Article
Phosphatidylcholine
Phosphatidylethanolamine
Pneumonia
Procalcitonin
Sphingomyelin
Streptococcus infections
Streptococcus pneumoniae
Triglycerides
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Summary:Introduction 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. Objectives In this study we performed longitudinal metabolite profiling in patients with CAP for a comprehensive range of metabolites to identify potential host response biomarkers. Methods 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. Results 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). Conclusion 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.
ISSN:1573-3890
1573-3882
1573-3890
DOI:10.1007/s11306-024-02091-5