Dataset Information

Human plasma LC-MS/MS from children with bacterial and viral infections

ABSTRACT: LC-MS/MS proteomic profiling was performed on children with bacterial and viral infections using plasma samples. Protein biomarkers indiciative of bacterial or viral infection were identified.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

SUBMITTER: Heather Jackson

LAB HEAD: Myrsini Kaforou

PROVIDER: PXD041960 | Pride | 2023-11-14

REPOSITORIES: Pride

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Publications

A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning study.

Jackson Heather R HR Zandstra Judith J Menikou Stephanie S Hamilton Melissa Shea MS McArdle Andrew J AJ Fischer Roman R Thorne Adam M AM Huang Honglei H Tanck Michael W MW Jansen Machiel H MH De Tisham T Agyeman Philipp K A PKA Von Both Ulrich U Carrol Enitan D ED Emonts Marieke M Eleftheriou Irini I Van der Flier Michiel M Fink Colin C Gloerich Jolein J De Groot Ronald R Moll Henriette A HA Pokorn Marko M Pollard Andrew J AJ Schlapbach Luregn J LJ Tsolia Maria N MN Usuf Effua E Wright Victoria J VJ Yeung Shunmay S Zavadska Dace D Zenz Werner W Coin Lachlan J M LJM Casals-Pascual Climent C Cunnington Aubrey J AJ Martinon-Torres Federico F Herberg Jethro A JA de Jonge Marien I MI Levin Michael M Kuijpers Taco W TW Kaforou Myrsini M

The Lancet. Digital health 20231101 11

<h4>Background</h4>Differentiating between self-resolving viral infections and bacterial infections in children who are febrile is a common challenge, causing difficulties in identifying which individuals require antibiotics. Studying the host response to infection can provide useful insights and can lead to the identification of biomarkers of infection with diagnostic potential. This study aimed to identify host protein biomarkers for future development into an accurate, rapid point-of-care tes ...[more]

PMID: 37890901

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Project description:Narcolepsy type 1 (NT1) is a rare, chronic and disabling neurological disease causing excessive daytime sleepiness and cataplexy. NT1 is characterized pathologically by an almost complete loss of neurons producing the orexin neuropeptides in the lateral hypothalamus. Genetic and environmental factors strongly suggest the involvement of the immune system in the loss of orexin neurons. The cerebrospinal fluid (CSF), secreted locally and surrounding the central nervous system (CNS), represents an accessible window into CNS pathological processes. To gain insight into the biological and molecular changes in NT1 patients, we performed a comparative proteomics analysis of the CSF from 21 recent-onset NT1 patients and from two control groups: group 1 with somatoform disorders, and group 2 patients with hypersomnia other than NT1, to control for any potential effect of sleep disturbances on CSF composition. To achieve an optimal proteomic coverage analysis, the twelve most abundant CSF proteins were depleted, and samples were analyzed by nano-flow liquid chromatography tandem mass spectrometry (nano-LC-MS/MS) using the latest generation of hybrid Orbitrap mass spectrometer. Our study allowed the identification and quantification of up to 1943 proteins, providing a remarkably deep analysis of the CSF proteome. Interestingly, gene set enrichment analysis indicated that the complement and coagulation systems were enriched and significantly activated in NT1 patients in both cohorts analyzed. Notably, the lectin and alternative complement pathway as well as the downstream lytic membrane attack complex were congruently increased in NT1. Our data suggest that the complement dysregulation in NT1 patients can contribute to immunopathology either by directly promoting tissue damage or as part of local inflammatory responses. We therefore reveal an altered composition of the CSF proteome in NT1 patients, which points to an ongoing inflammatory process contributed, at least in part, by the complement system.

Dataset Information

Human plasma LC-MS/MS from children with bacterial and viral infections

Publications

A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning study.

Similar Datasets

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