ArticleFrontiers in cellular and infection microbiology2026
A large-scale retrospective analysis reveals the fungal pathogen spectrum across diverse clinical specimens using metagenomic next-generation sequencing.
Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: Early diagnosis of invasive fungal diseases (IFD) remains a major clinical challenge due to pathogen diversity and nonspecific symptoms. This study used metagenomic next-generation sequencing (mNGS) technology to comprehensively characterize fungal profiles across various clinical specimens and the demographic characteristics (sex and age) of the patient population. The results provide laboratory evidence to support the diagnosis and treatment of fungal infections. Methods: A total of 11,161 mNGS reports from clinical specimens collected at the Renmin Hospital of Wuhan University between March 2022 to August 2024 were retrospectively analyzed. Fungal spectra and patient demographics were comprehensively profiled and compared across different specimen types. Results: The highest fungal detection rate was observed in bronchoalveolar lavage fluid (36.85%, 1,985/5,387), followed by urine (22.76%, 264/1,160), blood (13.38%, 380/2,840), pleural and peritoneal fluid (12.91%, 174/1,348), cerebrospinal fluid (CSF) (13.82%, 17/123), and wound exudates (12.87%, 39/303). Conclusion: In conclusion, our findings highlight the predominance of
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