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Related Experiment Video

Updated: May 6, 2026

Diagnosing Pulmonary Tuberculosis with the Xpert MTB/RIF Test

Diagnosing Pulmonary Tuberculosis with the Xpert MTB/RIF Test

Published on: April 9, 2012

Targeted next-generation sequencing for rapid tuberculosis detection: a systematic review and meta-analysis.

Boya Gou¹, Chuyao Zhang¹, Zhe Song¹

¹National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen 518112, China.

Clinica Chimica Acta; International Journal of Clinical Chemistry

|July 9, 2025

Summary

Targeted next-generation sequencing (tNGS) shows high accuracy for tuberculosis diagnosis. Its performance varies by sample type and sequencing platform, suggesting optimized application for better patient management.

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Last Updated: May 6, 2026

Diagnosing Pulmonary Tuberculosis with the Xpert MTB/RIF Test

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Published on: April 9, 2012

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Matrix-based DNA Extraction for Targeted Next-Generation Sequencing on Decontaminated Sputum Samples

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Published on: June 6, 2025

Area of Science:

Medical Diagnostics
Genomic Sequencing
Infectious Disease Research

Background:

Targeted next-generation sequencing (tNGS) is a WHO-endorsed tool for tuberculosis diagnosis.
Comprehensive evaluation of tNGS performance across diverse clinical scenarios is lacking.

Purpose of the Study:

To investigate the diagnostic performance of tNGS for tuberculosis.
To evaluate how clinical scenarios (populations, sample/tuberculosis types, platforms) influence tNGS accuracy.

Main Methods:

Systematic literature search of multiple databases (PubMed, MEDLINE, etc.) for studies from 2005-2024.
Quality assessment using QUADAS-2 tool and calculation of diagnostic accuracy metrics (sensitivity, specificity).
Meta-analysis of 16 studies including 2,565 participants.

Main Results:

Overall pooled sensitivity: 0.86, specificity: 0.95.
Highest sensitivity observed with bronchoalveolar lavage fluid (0.91) and nanopore sequencing (0.85).
tNGS showed significantly higher detection rates than GeneXpert MTB/RIF (OR: 1.78).

Conclusions:

tNGS exhibits high diagnostic accuracy for tuberculosis.
Performance is influenced by sample type and sequencing platform.
Findings support optimizing tNGS for specific clinical settings to improve tuberculosis management.