A protein signature associated with active tuberculosis identified by plasma profiling and network-based analysis.
clinical finding
disease
infectious disease
proteomics
Journal
iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038
Informations de publication
Date de publication:
22 Dec 2022
22 Dec 2022
Historique:
received:
09
05
2022
revised:
19
09
2022
accepted:
18
11
2022
entrez:
23
12
2022
pubmed:
24
12
2022
medline:
24
12
2022
Statut:
epublish
Résumé
Annually, approximately 10 million people are diagnosed with active tuberculosis (TB), and 1.4 million die of the disease. If left untreated, each person with active TB will infect 10-15 new individuals. The lack of non-sputum-based diagnostic tests leads to delayed diagnoses of active pulmonary TB cases, contributing to continued disease transmission. In this exploratory study, we aimed to identify biomarkers associated with active TB. We assessed the plasma levels of 92 proteins associated with inflammation in individuals with active TB (n = 20), latent TB (n = 14), or healthy controls (n = 10). Using co-expression network analysis, we identified one module of proteins with strong association with active TB. We removed proteins from the module that had low abundance or were associated with non-TB diseases in published transcriptomic datasets, resulting in a 12-protein plasma signature that was highly enriched in individuals with pulmonary and extrapulmonary TB and was further associated with disease severity.
Identifiants
pubmed: 36561889
doi: 10.1016/j.isci.2022.105652
pii: S2589-0042(22)01924-1
pmc: PMC9763869
doi:
Types de publication
Journal Article
Langues
eng
Pagination
105652Informations de copyright
© 2022 The Author(s).
Déclaration de conflit d'intérêts
The authors declare no competing interests.
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