Proteomics

Dataset Information

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Discovery of plasma/serum protein biomarkers for progression from Mycobacterium tuberculosis infection to disease


ABSTRACT: The overall scope of this study is to find early tuberculosis (TB) candidate protein biomarkers in different TB study groups vs. controls. The identified biomarkers may become the basis of a rapid diagnostic test able to identify active TB earlier than current practice. In addition, the candidate biomarkers may predict which patients are likely to convert from latent infection to active disease. . This project uses plasma and serum samples collected in a long-standing TB household contact study, the Kawempe Community Health Study, conducted in Kampala, Uganda, a TB endemic area. The study utilizes samples from TB index cases and household contacts that were negative for TB at recruitment. A subset of these contacts developed Mtb infection (i.e., their Tuberculin Skin Test (TST) converted to positive) after 3-6 months, and smaller subset developed active TB after 3 months of follow-up. Control patients were still TST negative at 12 months or 24 months of follow-up. This dataset corresponds to the discovery phase of the study.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Eustache Paramithiotis  

LAB HEAD: Eustache Paramithiotis

PROVIDER: PXD000582 | Pride | 2019-11-25

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
F006265.dat Other
F006266.dat Other
F006267.dat Other
F006268.dat Other
F006269.dat Other
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Publications


The objective of this study was to identify blood-based protein biomarkers of early stage Mycobacterium tuberculosis (Mtb) infection. We utilized plasma and serum specimens from TB patients and their contacts (age≥12) enrolled in a household contact study in Uganda. In the discovery phase cross-sectional samples from 104 HIV-uninfected persons classified as either active TB, latent Mtb infection (LTBI), tuberculin skin test (TST) converters, or persistent TST-negative were analyzed. Two hundred  ...[more]

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