Combined urine proteomics and metabolomics analysis for the diagnosis of pulmonary tuberculosis
Our data demonstrate that metabolomic and proteomic analysis can identify a novel urine biomarker panel to diagnose PTB with high sensitivity and specificity. The receiver operating characteristic curve analysis showed that it is possible to perform non-invasive clinical diagnoses of PTB through these urine biomarkers.
Authors
- Yu Pang (ORCID: https://orcid.org/0000-0001-6803-9807)
- Weimin Ding (ORCID: https://orcid.org/0000-0002-8883-3992)
- Shenjie Tang (ORCID: https://orcid.org/0000-0002-9131-4165)
- Huacheng Ye (ORCID: https://orcid.org/0000-0003-3800-1335)
- Tianyu Ma (ORCID: https://orcid.org/0000-0002-1405-2042)
- Li Li (ORCID: https://orcid.org/0000-0002-4304-0999)
- Liping Ma
- Rongmei Liu (ORCID: https://orcid.org/0000-0003-3143-9289)
- Zhidong Liu (ORCID: https://orcid.org/0000-0003-1825-6103)
- Jiajia Yu (ORCID: https://orcid.org/0000-0002-9161-2154)
- Minggui Lin
- Jinfeng Yuan
Institutions
- Capital Medical University (CN)
- Beijing Chao-Yang Hospital, Capital Medical University (CN)
- Beijing Chest Hospital (CN)
- Beijing Tsinghua Chang Gung Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Clinical Proteomics
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1186/s12014-024-09514-4
- Citations
- 6
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.40
Funders
- Beijing Nova Program
- National Key Research and Development Program of China