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Combined urine proteomics and metabolomics analysis for the diagnosis of pulmonary tuberculosis.

Jiajia Yu | Jinfeng Yuan | Zhidong Liu | Huan Ye | Minggui Lin | Liping Ma | Rongmei Liu | Weimin Ding | Li Li | Tianyu Ma | Shenjie Tang | Yu Pang
Clinical proteomics | 2024

Tuberculosis (TB) diagnostic monitoring is paramount to clinical decision-making and the host biomarkers appears to play a significant role. The currently available diagnostic technology for TB detection is inadequate. In the present study, we aimed to identify biomarkers for diagnosis of pulmonary tuberculosis (PTB) using urinary metabolomic and proteomic analysis.

Pubmed ID: 39695396

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Associated grants

  • Agency: Beijing Hospitals Authority Ascent Plan,
    Id: DFL20191601
  • Agency: Beijing Hospitals Authority Clinical Medicine Development of Special Funding,
    Id: ZYLX202122
  • Agency: Sponsored by Beijing Nova Program,
    Id: 20220484169&20230484295

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Microsoft Excel (tool)

RRID:SCR_016137

Software application with data analysis tools and spreadsheet templates to track and visualize data. It is used to manage and process data.

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