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Updated: Jan 7, 2026
Identification of Mycobacterium Species by DNA Microarray Chip Method
Published on: June 24, 2025
Precisión diagnóstica e impacto clínico del chip de microarrays de ADN en infecciones por micobacterias pulmonares:
Bo Xiang1, Wenchuang Zeng1, Minzhi Wu1
1Department of Clinical Laboratory of the First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, No. 28, Qiaozhong Road, Liwan District, Guangzhou, Guangdong, China.
Background:
China has a high burden of Mycobacterium tuberculosis (MTB), with increasing infections from non-tuberculous mycobacteria (NTM). Rapid and accurate identification is crucial for effective clinical management. This study aimed to evaluate the diagnostic performance of DNA microarray chip and identify risk factors associated to mycobacterial infections.
Methods:
Between January 2021 and June 2023, 973 patients with presumptive mycobacterial infections were recruited from the First Affiliated Hospital of Guangzhou Medical University. Various detection methods were used for etiological diagnosis, and their performance was compared. Multivariable logistic regression analysis determined clinical risk factors for mycobacterial positivity.
Results:
Mycobacterial infection was confirmed in 438 patients, with 254 (58.0%) infected with MTB, 183 (41.8%) with NTM, and one co-infected with two. DNA microarray chip demonstrated the highest true positive rate (TPR) for mycobacterial detection at 96.8% and a true negative rate (TNR) of 90.8%. For MTB, the TPR was 94.5% with a TNR of 99.3%. Risk factors included cough/expectoration, pulmonary consolidation, cavitation, and bronchiectasis for mycobacterial infection, while smoking history and diabetes mellitus were independent risk factors for MTB infection.
Conclusions:
DNA microarray chip offers a sensitive and specific diagnostic approach for mycobacterial infections, potentially enhancing clinical diagnosis and informing targeted interventions.
