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Dataset Information

Discriminating active from latent tuberculosis in patients presenting to community clinics.


ABSTRACT:

Background

Because of the high global prevalence of latent TB infection (LTBI), a key challenge in endemic settings is distinguishing patients with active TB from patients with overlapping clinical symptoms without active TB but with co-existing LTBI. Current methods are insufficiently accurate. Plasma proteomic fingerprinting can resolve this difficulty by providing a molecular snapshot defining disease state that can be used to develop point-of-care diagnostics.

Methods

Plasma and clinical data were obtained prospectively from patients attending community TB clinics in Peru and from household contacts. Plasma was subjected to high-throughput proteomic profiling by mass spectrometry. Statistical pattern recognition methods were used to define mass spectral patterns that dis

SUBMITTER: Sandhu G 

PROVIDER: S-EPMC3364185 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature