Evaluation of a new droplet digital PCR for diagnosis of pulmonary tuberculosis and tuberculous pleurisy
Introduction: Digital droplet PCR (ddPCR) offers high sensitivity and absolute quantification without standard curves, making it promising for tuberculosis (TB) detection in paucibacillary samples. This study evaluated the diagnostic performance of a ddPCR assay targeting IS6110 and 23S rRNA for pulmonary tuberculosis (PTB) and tuberculous pleurisy (TP). Methods: A total of 436 patients (245 suspected PTB, 191 suspected TP) were prospectively enrolled. ddPCR was performed on sputum, bronchoalveolar lavage fluid, and pleural effusion samples. Diagnostic performance was compared with Xpert MTB/RIF and culture. Results: < 0.001). For NTM detection, ddPCR achieved 60% sensitivity and 99.58% specificity. Discussion: ddPCR offers improved sensitivity for PTB and TP diagnosis, particularly in paucibacillary cases, though its lower specificity necessitates confirmatory testing. The dual-target design enables simultaneous MTB/NTM differentiation, providing clinical utility for guiding appropriate therapy.
Authors
- Xundi Bao (ORCID: https://orcid.org/0000-0001-6596-2081)
- Qi Ma (ORCID: https://orcid.org/0000-0002-1214-2108)
- Jinɡjinɡ Li (ORCID: https://orcid.org/0000-0002-7526-5308)
- Yuanzhang Zhao (ORCID: https://orcid.org/0009-0003-3613-9469)
- Xichao Ou
- Peilei Hu
- Jie Kang
- Jingwei Guo
- Yue Li
- Zhou Liu
- Hui Xia
- Bing Zhao
- Yunhong Tan
- Dongfang Xu
- Huiwen Zheng
Institutions
- Chinese Center For Disease Control and Prevention (CN)
- Chest Diseases Hospital (KW)
- Anhui Provincial Center for Disease Control and Prevention (CN)
- Hunan Province Chest Hospital (CN)
- Beijing Children’s Hospital (CN)
- National Institute for Communicable Disease Control and Prevention (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-04-15
- DOI
- https://doi.org/10.3389/fmed.2026.1819767
- Primary Topic
- Innovative Microfluidic and Catalytic Techniques Innovation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Beijing Municipality
- National Key Research and Development Program of China