bioRxivSystems BiologyPreprint
Viral and bacterial infection elicit distinct changes in plasma lipids in febrile children
Xinzhu WangiD, Ruud NijmaniD, Stéphane CamuzeauxiD, Caroline J. SandsiD, Heather JacksoniD, Myrsini KaforouiD, Marieke EmontsiD, Jethro Adam HerbergiD, Ian K. MaconochieiD, Enitan D. CarroliD, Stephane C. PaulusiD, Werner ZenziD, Michiel van der FlieriD, Ronald de GrootiD, Federico Martinón‐TorresiD, Luregn Jan SchlapbachiD, Andrew John PollardiD, Colin G. FinkiD, Taco Willem KuijpersiD, Suzanne T. B. AndersoniD, Matthew R. LewisiD, Michael LeviniD, Myra O. McClureiD
Abstract
Fever is the most common reason that children present to Emergency Departments in the UK. Clinical signs and symptoms suggestive of bacterial infection are often non-specific, and there is no definitive test for the accurate diagnosis of infection. As a result, many children are prescribed antibiotics often unnecessarily, while others with life-threatening bacterial infections can remain untreated. The omics approaches to identifying biomarkers from the host-response to bacterial infection are promising. In this study, lipidomic analysis was carried out with plasma samples obtained from febrile children with confirmed bacterial infection (n=20) and confirmed viral infection (n=20). We show for the first time that bacterial and viral infection elicit distinct changes in the host lipidome. Glycerophosphoinositol, sphingomyelin, lysophosphotidylcholine and cholesterol sulfate were increased in the confirmed virus infected group, while fatty acids, glycerophosphocholine, glycerophosphoserine, lactosylceramide and bilirubin were increased in cases with confirmed bacterial infection. A combination of three lipids achieved the area under the receiver operating characteristic (ROC) curve of 0.918 (95% CI 0.835 to 1). This pilot study demonstrates the potential of metabolic biomarkers to assist clinicians in distinguishing bacterial from viral infection in febrile children, to facilitate effective clinical management and to the limit inappropriate use of antibiotics.
- organism: human
- assay: metabolomics
- research focus: differential expression
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Lipocalin-2 is a Sensitive and Specific Marker of Bacterial Infection in Children
J. Herberg, H. Huang, … C. Casals-Pascual·bioRxiv·Apr 30, 2019
- Host gene-expression signatures accurately distinguish bacterial, viral, and inflammatory diseases in febrile children across multiple cohorts
Sandra Viz-Lasheras, Irene Rivero-Calle, … Antonio Salas·bioRxiv·Aug 18, 2026
- Biomarkers to distinguish bacterial from viral pediatric clinical pneumonia in a malaria endemic setting
Michael A. Gillette, D.R. Mani, … Dyann F. Wirth·Clinical Infectious DiseasesPeer-reviewed·Dec 12, 2020
- Proteomic profiling of the local and systemic immune response to pediatric respiratory viral infections
Emily Lydon, Christina M Osborne, … Peter M. Mourani·mSystemsPeer-reviewed·Nov 29, 2024
- Multi-Omics and Machine Learning-Based Profiling of Severity Signatures in Mycoplasma Pneumoniae Infection in Children
Guiqiu Li, Ying Wei, … Xiulan Lai·iSciencePeer-reviewed·Jan 31, 2026
- Deep Phenotyping of the Lipidomic Response in COVID and non-COVID Sepsis
Hu Meng, Arjun Sengupta, … Garret A. FitzGerald·bioRxiv·Jun 2, 2023