Innovo GenMax MTB-RIF/INH: a moderate-complexity automated NAAT for rapid simultaneous detection of Mycobacterium tuberculosis complex and rifampin/isoniazid resistance
Innovo GenMax MTB-RIF/INH is a rapid and automated assay with high sensitivity for MTBC detection, suitable for decentralized settings. While its performance for RIF/INH resistance detection is competitive with existing assays, its sensitivity remains gaps relative to WHO targets. Further optimization, particularly through expanded probe coverage, is needed to bridge this gap and ensure reliable detection in clinical settings.
Authors
- Yang Zhou (ORCID: https://orcid.org/0000-0003-4167-6413)
- Xichao Ou (ORCID: https://orcid.org/0000-0002-3126-4450)
- Yuanyuan Song (ORCID: https://orcid.org/0000-0003-1354-8510)
- Zhonghua Qin (ORCID: https://orcid.org/0000-0003-3263-625X)
- Ruida Xing (ORCID: https://orcid.org/0000-0001-9696-0214)
- Shengfen Wang
- Hui Xia
- Lixia Zhang (ORCID: https://orcid.org/0000-0002-2689-2452)
- Kai Cui (ORCID: https://orcid.org/0000-0002-0846-0306)
- Huiwen Zheng (ORCID: https://orcid.org/0000-0003-2194-9963)
- Yang Zheng (ORCID: https://orcid.org/0000-0003-4259-1542)
- Bing Zhao (ORCID: https://orcid.org/0000-0002-1565-685X)
- Qian Sun (ORCID: https://orcid.org/0000-0002-0774-1608)
- Yanlin Zhao
Institutions
- Chinese Center For Disease Control and Prevention (CN)
- National Institute for Communicable Disease Control and Prevention (CN)
- Tianjin haihe hospital (CN)
Publication Details
- Journal
- Frontiers in Cellular and Infection Microbiology
- Published
- 2025-06-30
- DOI
- https://doi.org/10.3389/fcimb.2025.1600170
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Beijing Municipal Health Commission