Pneumonia-specific plasma metabolite profiles among patients hospitalised with infection in Southeast Asia
1
Issued Date
2025-05-01
Resource Type
eISSN
23120541
Scopus ID
2-s2.0-105007327585
Journal Title
Erj Open Research
Volume
11
Issue
3
Rights Holder(s)
SCOPUS
Bibliographic Citation
Erj Open Research Vol.11 No.3 (2025)
Suggested Citation
Coston T.D., Xia L., Wright S.W., Hantrakun V., Chamnan P., Wongsuvan G., Phunpang R., Dulsuk A., Thiansukhon E., Shojaie A., Chantratita N., Limmathurotsakul D., Gharib S.A., West T.E. Pneumonia-specific plasma metabolite profiles among patients hospitalised with infection in Southeast Asia. Erj Open Research Vol.11 No.3 (2025). doi:10.1183/23120541.00582-2024 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/110626
Title
Pneumonia-specific plasma metabolite profiles among patients hospitalised with infection in Southeast Asia
Corresponding Author(s)
Other Contributor(s)
Abstract
Background Community-acquired pneumonia (CAP) is a major public health threat globally but is understudied in regions with the highest burden. The host immune response during infection may differ based on the site of infection. We hypothesised that analysis of the plasma metabolome in patients hospitalised with suspected infection could identify host response pathways specific to CAP. Methods We analysed the plasma metabolomes of adults admitted to a tertiary care hospital in northeastern Thailand with suspected community-acquired infection. Multivariable linear regression was performed for differential metabolite analyses and the global test was used for pathway analysis comparing patients with CAP versus non-CAP infections and uninfected controls. The least absolute shrinkage and selection operator (LASSO) was used to identify a parsimonious metabolite prognostic signature that was tested on an internal validation set to predict mortality. Results 841 metabolites from 107 CAP patients and 152 non-CAP infected patients were analysed. 52 metabolites were differentially abundant between the CAP and non-CAP groups. CAP was characterised by increased metabolites involved in polyamine metabolism and decreased metabolites involved in lipid pathways. 13 pathways were differentially enriched between the CAP and non-CAP groups, consistent with individual metabolite analyses. 40 metabolites and four pathways were associated with CAP-specific mortality. A four-metabolite signature predicted 28-day mortality in CAP (area under the curve 0.79, 95% CI 0.62–0.97). Conclusion In a rural tropical setting, CAP induced a distinct metabolomic state compared to non-CAP presentations of infection that may reflect the activation of select host immune responses.