ArticleFrontiers in cellular and infection microbiology2025
Clinicopathological characteristics and diagnostic performance of metagenomic pathogen detection technology in mycobacterial infections among HIV patients.
Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Clinicopathologic Features of Genitourinary Malakoplakia and Analytical Utility of the MetaPath Assay.Infection and drug resistance · 2026Article
- Rapid identification of majorFrontiers in cellular and infection microbiology · 2025Article
- Coexistence of cat scratch disease lymphadenitis and active pulmonary tuberculosis in an immunocompetent host - a case report with metagenomic diagnosis and literature review.Frontiers in medicine · 2025Article
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16 authors.
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Abstract
Background: Mycobacterial infections represent a major cause of morbidity and mortality in HIV-infected individuals. This study evaluated diagnostic techniques for mycobacterial identification and compared clinicopathological features between HIV-positive and HIV-negative patients. Methods: We analyzed 88 tissue samples (with 41 matched blood and 28 sputum samples) using histopathology (HE and acid-fast staining), bacterial culture, MTB-PCR (sputum/biopsy), PCR-reverse dot blot hybridization (RDBH), and metagenomic pathogen detection technology (MetaPath™). Logistic regression analyses were performed to identify factors affecting detection rates. Results: Mycobacterial infection was detected in 95.5% (84/88) of patients. Among HIV-positive patients (n=63), 46% (29/63) had Conclusions: MetaPath™ is a highly effective diagnostic tool for mycobacterial infections, particularly in tissue biopsies. HIV-positive status, lymph node involvement, and MetaPath™ positivity independently predict mycobacterial detection. HIV-positive patients exhibit distinct clinicopathological features, emphasizing the need for tailored diagnostic and therapeutic approaches based on immune status.
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