Beijing Da Xue Xue Bao Yi Xue Ban
December 2024
Objective: Assessing the accuracy of automated EasyNAT system for rapidly detecting paraffin-embedded tissue for the diagnosis of tuberculosis.
Methods: A retrospective analysis was conducted on 134 patients, comprising 101 with confirmed tuberculosis and 33 without tuberculosis, treated at Beijing Chest Hospital, Capital Medical University, between 2018 and 2022.The clinical diagnostic results served as the standard for assessing the diagnostic performance of the EasyNAT system in comparison to quantitative real-time polymerase chain reaction (qPCR) for tuberculosis detection in paraffin-embedded tissues.
Background: Bacteria in lung play an important role in sustaining lung health. Understanding the characteristics of bacteriomes in lesions of pulmonary tuberculosis (TB) patients, who excrete Mycobacterium tuberculosis (MTB), is important for TB prevention and effective treatment. METHODS: In this study, bacteriomes in lesions from TB patients excreting bacteria (TB-E) and those from TB patients not excreting bacteria (TB-NE) with matched normal lung tissues (NT) were compared by 16S rRNA sequencing.
View Article and Find Full Text PDFNext-generation sequencing (NGS) enables rapid identification of common and rare drug-resistant genetic variations from tuberculosis (TB) patients' sputum samples and MTB isolates. However, whether this technology is effective for formalin-fixed and paraffin-embedded (FFPE) tissues remains unclear. An amplicon-based targeted NGS sequencing panel was developed to predict susceptibility to 9 antituberculosis drugs, including 3 first-line drugs, by directly detecting FFPE tissues.
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