Clinical Application of Metagenomic Next-generation Sequencing in Tuberculosis Diagnosis
Overview
Infectious Diseases
Microbiology
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Objective: The purpose of this study was to evaluate the clinical diagnostic value of metagenomic next-generation sequencing (mNGS) for tuberculosis (TB).
Methods: This retrospective study included 52 patients with suspected TB infection. mNGS, targeted PCR, acid-fast staining and, T-SPOT.TB assay were performed on the specimen. The positive rate of mNGS and traditional detection methods was statistically analyzed. Pathological tests were performed when necessary.
Results: In total, 52 patients with suspected of TB in this study were included in the analysis, and 31 patients were finally diagnosed with TB. Among 52 patients, 14 (26.9%) cases were positive for acid-fast staining. The positive rate of T-SPOT.TB assay in 52 patients was 73.1% (38/52). Among 52 patients, 39 (75%) were detected positive for (TB) by mNGS. Regarding the detection rate of MTB, mNGS were as high as 75% (39/52), whereas acid-resistant staining was only 26.9% (14/52), which showed a statistically significant difference (p<0.05). The positive rates of T-SPOT.TB assay and mNGS were not statistically significant (p>0.05). Of the 52 suspected TB patients, 24 had targeted PCR, of which 18 were PCR positive. In 24 patients, the positive rate of PCR was 75%, and the positive rate of mNGS was 100%, with statistical difference between them (p<0.05).
Conclusions: The detection rate of MTB by mNGS was higher than that by conventional acid-fast staining and PCR, but not statistically significant compared with T-SPOT.TB assay. As an adjunctive diagnostic technology, mNGS can be combined with traditional detection methods to play a guiding role in the diagnosis and treatment of TB.
Luo W, Yu L, Lu S, Yu Y, Bai Y, Wang S Parasit Vectors. 2025; 18(1):69.
PMID: 39988659 PMC: 11847361. DOI: 10.1186/s13071-024-06623-9.
Tang Q, Wang C, Li H, Chen Z, Zhang L, Zhang J Virol J. 2025; 22(1):36.
PMID: 39948654 PMC: 11827179. DOI: 10.1186/s12985-025-02632-x.
Munjita S, Kalonda A, Mubemba B, Vanaerschot M, Tato C, Mwakibete L Infect Ecol Epidemiol. 2025; 15(1):2441537.
PMID: 39764202 PMC: 11703479. DOI: 10.1080/20008686.2024.2441537.
You Y, Ni Y, Shi G Syst Rev. 2024; 13(1):317.
PMID: 39731100 PMC: 11674177. DOI: 10.1186/s13643-024-02733-8.
Ma J, Jiang Y, He Y, Zhou H Front Cell Infect Microbiol. 2024; 14:1456119.
PMID: 39717545 PMC: 11663735. DOI: 10.3389/fcimb.2024.1456119.