Metagenomic next-generation sequencing improves diagnosis of Talaromyces marneffei and mixed infections in HIV/AIDS patients: a retrospective study

Background: ) accounts for up to 15% of HIV-related hospitalizations in endemic regions. Metagenomic next-generation sequencing (mNGS) offers rapid pathogen detection; however, its utility in diagnosing HIV-associated coinfections is uncertain. Methods: This retrospective study enrolled 56 hospitalized PLWH with coinfections at the Third Affiliated Hospital of Sun Yat-sen University from March 2022 to October 2024. All patients underwent pathogen detection using both mNGS and CTM, with their diagnostic performance compared. Clinical data, treatment adjustments, and outcomes were analyzed. Results: < 0.001), correlating with clinical improvement in 90% (36/40) of adjusted regimens. Conclusion: and mixed infections. These results highlight the clinical value of mNGS as a complementary tool for pathogen identification in this vulnerable population.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-04-07
DOI
https://doi.org/10.3389/fmed.2026.1800314
Primary Topic
Fungal Infections and Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Metagenomic next-generation sequencing improves diagnosis of Talaromyces marneffei and mixed infections in HIV/AIDS patients: a retrospective study

Dabiao Chen, Y. Zhang, Lili Li, Z. Huang et al.
Frontiers in Medicine
Fungal Infections and Studies
article

Metagenomic next-generation sequencing improves diagnosis of Talaromyces marneffei and mixed infections in HIV/AIDS patients: a retrospective study

Dabiao Chen, Y. Zhang, Lili Li, Z. Huang, Bingliang Lin, X. Q. Li, Ziying Lei, Yunfei Xiao, Xiaohua Yang, Yupeng Zheng
article en

Abstract

Background: ) accounts for up to 15% of HIV-related hospitalizations in endemic regions. Metagenomic next-generation sequencing (mNGS) offers rapid pathogen detection; however, its utility in diagnosing HIV-associated coinfections is uncertain. Methods: This retrospective study enrolled 56 hospitalized PLWH with coinfections at the Third Affiliated Hospital of Sun Yat-sen University from March 2022 to October 2024. All patients underwent pathogen detection using both mNGS and CTM, with their diagnostic performance compared. Clinical data, treatment adjustments, and outcomes were analyzed. Results: < 0.001), correlating with clinical improvement in 90% (36/40) of adjusted regimens. Conclusion: and mixed infections. These results highlight the clinical value of mNGS as a complementary tool for pathogen identification in this vulnerable population.

Frontiers in MedicineVol. 13
Sun Yat-sen University (CN), Third Affiliated Hospital of Sun Yat-sen University (CN)
Good health and well-being
Openalex Percentile: Top 29%
Fungal Infections and Studies
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