Scholarlink

<p>Overlapping clinical manifestations of <i>Mycobacterium tuberculosis</i> (MTB) detection and diseases caused by non-tuberculous mycobacteria (NTM) pose significant diagnostic challenges in tuberculosis-endemic settings. Conventional methods often fail to provide a discriminated diagnosis and/or detect co-detections; however, molecular assays enable precise species-level identification and simultaneous detection of multiple pathogens, thereby enabling detection of multiple mycobacterial species, including co-detection patterns. The purpose of this study is to evaluate the utility of molecular methods for detecting the incidental coexistence of MTB and NTM, thereby supporting improved laboratory-level identification. A total of 890 clinical samples from patients presumed to have a mycobacterial infection were evaluated. The test involved performing AFB smear microscopy, NAAT, MGIT, and MPT64 antigen testing, followed by analysis using the GenoType Mycobacterium CM/AS, which helped identify MTB complex as well as NTM, thus enabling us to identify accidental co-detections that would arise from MTB-NTM. Out of 890 samples analyzed, 27/890 (3.03%) samples turned out to be positive for NTM detection. In this study, 19/27 (70.3%) had only NTM detection, and 8/27 (29.6%) demonstrated MTB–NTM co-detection. Overall, co-detections accounted for 0.89% (8/890) of the total processed samples and 29.6% (8/27) of the samples positive for NTM. The most predominant species was <i>M. fortuitum</i>, which was followed by <i>M. chelonae</i>, and then a case of simultaneous detection with <i>M. avium</i> complex and <i>M. fortuitum</i> along with MTB. In general, it has been seen that <i>M. fortuitum</i> had the highest frequency in such cases. These findings are based on laboratory detection and should not be interpreted as evidence of confirmed co-infection.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Molecular detection of incidental Mycobacterium tuberculosis and nontuberculous mycobacteria co-detections using DNA strip assay: a laboratory-based study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月11日

查看全文
  • Shaina Gaikwad,
  • Antisha Tiwari,
  • Falguni Agrawal,
  • Alkesh Khurana,
  • Sagar Khadanga,
  • Jitendra Singh,
  • Shashank Purwar,
  • Debasis Biswas,
  • Anand Kumar Maurya

摘要

Overlapping clinical manifestations of Mycobacterium tuberculosis (MTB) detection and diseases caused by non-tuberculous mycobacteria (NTM) pose significant diagnostic challenges in tuberculosis-endemic settings. Conventional methods often fail to provide a discriminated diagnosis and/or detect co-detections; however, molecular assays enable precise species-level identification and simultaneous detection of multiple pathogens, thereby enabling detection of multiple mycobacterial species, including co-detection patterns. The purpose of this study is to evaluate the utility of molecular methods for detecting the incidental coexistence of MTB and NTM, thereby supporting improved laboratory-level identification. A total of 890 clinical samples from patients presumed to have a mycobacterial infection were evaluated. The test involved performing AFB smear microscopy, NAAT, MGIT, and MPT64 antigen testing, followed by analysis using the GenoType Mycobacterium CM/AS, which helped identify MTB complex as well as NTM, thus enabling us to identify accidental co-detections that would arise from MTB-NTM. Out of 890 samples analyzed, 27/890 (3.03%) samples turned out to be positive for NTM detection. In this study, 19/27 (70.3%) had only NTM detection, and 8/27 (29.6%) demonstrated MTB–NTM co-detection. Overall, co-detections accounted for 0.89% (8/890) of the total processed samples and 29.6% (8/27) of the samples positive for NTM. The most predominant species was M. fortuitum, which was followed by M. chelonae, and then a case of simultaneous detection with M. avium complex and M. fortuitum along with MTB. In general, it has been seen that M. fortuitum had the highest frequency in such cases. These findings are based on laboratory detection and should not be interpreted as evidence of confirmed co-infection.