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Identification of discriminative plasma protein biomarkers for recent Mycobacterium tuberculosis infection

ABSTRACT: This project presents a data-independent acquisition mass spectrometry (DIA-MS)–based plasma proteomics dataset generated to identify protein biomarkers associated with recent Mycobacterium tuberculosis (M.tb) infection. The study aimed to characterize proteomic differences among individuals with recently acquired latent tuberculosis infection (LTBI), remotely acquired LTBI, and bacteriologically confirmed active tuberculosis (TB).

ORGANISM(S): Homo Sapiens

SUBMITTER: Cheng Chen

PROVIDER: PXD074267 | iProX | Mon Feb 09 00:00:00 GMT 2026

REPOSITORIES: iProX

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Identification of discriminative plasma protein biomarkers for recent Mycobacterium tuberculosis infection: a pilot data‑independent acquisition mass spectrometry‑based proteomics study.

Han Yutong Y Shi Jinyan J Liu Qiao Q Shao Yan Y Zhu Limei L Martinez Leonardo L Xu Biao B Chen Cheng C

BMC infectious diseases 20260401 1

BACKGROUND: Recently acquired Mycobacterium tuberculosis (M.tb) infection is associated with a higher risk of progression to active tuberculosis (TB), yet current diagnostic tools cannot distinguish recent from remote latent TB infection (LTBI). METHODS: Plasma samples from 26 individuals with recently acquired LTBI, 26 with remotely acquired LTBI and 26 bacteriologically confirmed TB patients, were analyzed using a data-independent acquisition mass spectrometry (DIA-MS)-based proteomics approac ...[more]

PMID: 41922977

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