Metagenomic next-generation sequencing for pathology-suspected fungal infections at rare anatomical sites: a case series

OBJECTIVE: Histopathology for suspected fungal infections lacks species-level identification and is prone to morphological mimics. The utility of metagenomic next-generation sequencing (mNGS) at rare anatomical sites is underexplored. METHODS: We retrospectively analyzed 10 cases with histopathology suggestive of fungal infection at rare sites (brain, cardiac valve, bone, etc.). All underwent mNGS testing on formalin-fixed paraffin-embedded samples. RESULTS: mNGS detected fungal DNA in 8/10 cases (80%), providing species-level identification (e.g., Cryptococcus, Candida, Fusarium, Rhizopus, Histoplasma). Polymicrobial infections were identified in 70%. mNGS corrected two misdiagnoses: one confirmed neurocysticercosis; another revealed only bacteria in a suspected fungal lesion. Antimicrobial resistance genes (ErmB) were identified in two cases. CONCLUSION: mNGS enhances diagnostic precision at rare sites by enabling species identification, uncovering polymicrobial infections, and correcting morphological misdiagnoses, supporting targeted therapy.

Authors

Institutions

Publication Details

Journal
Future Science OA
Published
2026-05-08
DOI
https://doi.org/10.1080/20565623.2026.2669032
Primary Topic
Fungal Infections and Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metagenomic next-generation sequencing for pathology-suspected fungal infections at rare anatomical sites: a case series

Liping Lou, Dong Chen, Wei Zhang, X H Xu et al.
Future Science OA
Fungal Infections and Studies
article

Metagenomic next-generation sequencing for pathology-suspected fungal infections at rare anatomical sites: a case series

Liping Lou, Dong Chen, Wei Zhang, X H Xu, Nan Luo
article en

Abstract

OBJECTIVE: Histopathology for suspected fungal infections lacks species-level identification and is prone to morphological mimics. The utility of metagenomic next-generation sequencing (mNGS) at rare anatomical sites is underexplored. METHODS: We retrospectively analyzed 10 cases with histopathology suggestive of fungal infection at rare sites (brain, cardiac valve, bone, etc.). All underwent mNGS testing on formalin-fixed paraffin-embedded samples. RESULTS: mNGS detected fungal DNA in 8/10 cases (80%), providing species-level identification (e.g., Cryptococcus, Candida, Fusarium, Rhizopus, Histoplasma). Polymicrobial infections were identified in 70%. mNGS corrected two misdiagnoses: one confirmed neurocysticercosis; another revealed only bacteria in a suspected fungal lesion. Antimicrobial resistance genes (ErmB) were identified in two cases. CONCLUSION: mNGS enhances diagnostic precision at rare sites by enabling species identification, uncovering polymicrobial infections, and correcting morphological misdiagnoses, supporting targeted therapy.

Future Science OAVol. 12(1)
Tongji University (CN), Tongji Hospital (CN), Huazhong University of Science and Technology (CN)
Life in Land
Openalex Percentile: Top 5%
Fungal Infections and Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.