An innovative fungal-specific targeted next-generation sequencing method: analytical performance and a single-center prospective clinical study

Invasive pulmonary fungal infections (IPFIs) pose significant diagnostic challenges, particularly in immunocompromised patients. Accurate and timely diagnosis is crucial to improve outcomes. While metagenomic next-generation sequencing (mNGS) is widely utilized, it is expensive and affected by host DNA interference. Targeted next-generation sequencing (tNGS) offers a cost-effective and efficient alternative for fungal pathogen detection. We developed the Fi-tNGS assay, a targeted next-generation sequencing method, specifically designed to detect 64 fungal species. Analytical performance was validated by assessing its limit of detection (LoD), reproducibility, and resistance to host DNA interference. Subsequently, a prospective clinical study was conducted, enrolling 104 patients with suspected IPFIs. Clinical diagnostic performance was evaluated by comparing Fi-tNGS, mNGS, and conventional microbial culture against a comprehensive diagnostic standard. Fi-tNGS detected 109 pathogens, compared to 110 for mNGS and 77 for culture. The sensitivity and specificity of tNGS were 89.7% and 94.2%, respectively, outperforming culture (65.8% sensitivity, 100% specificity). Combining culture with tNGS or mNGS significantly improved sensitivity to 94.8% and 94.0%, respectively. These findings demonstrate the added diagnostic value of NGS methods for IPFIs. tNGS provides accurate and efficient fungal pathogen detection, with sensitivity comparable to mNGS and superior to culture. Its cost-effectiveness and shorter turnaround time highlight its potential as a practical tool for the rapid and precise diagnosis of IPFIs in clinical settings.

Authors

Institutions

Publication Details

Journal
Journal of Translational Medicine
Published
2025-07-24
DOI
https://doi.org/10.1186/s12967-025-06784-w
Citations
1
Primary Topic
Antifungal resistance and susceptibility
Type
article
Field-Weighted Citation Impact
1.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An innovative fungal-specific targeted next-generation sequencing method: analytical performance and a single-center prospective clinical study

Zhenli Zhu, Gang Zhou, Xiaolong Dong, Fengshuo Sun et al.
1 citations
Journal of Translational Medicine
Antifungal resistance and susceptibility
1.40
article

An innovative fungal-specific targeted next-generation sequencing method: analytical performance and a single-center prospective clinical study

Zhenli Zhu, Gang Zhou, Xiaolong Dong, Fengshuo Sun, Shitong Cheng, Miao Hui, Jingjing Chen, Lifeng Li, Xiaoxu Han, Ruixuan Wang, Yang Gao, Chuan He, Sufei Tian, Wei Du, Yunzhuo Chu
article en
1 citations

Abstract

Invasive pulmonary fungal infections (IPFIs) pose significant diagnostic challenges, particularly in immunocompromised patients. Accurate and timely diagnosis is crucial to improve outcomes. While metagenomic next-generation sequencing (mNGS) is widely utilized, it is expensive and affected by host DNA interference. Targeted next-generation sequencing (tNGS) offers a cost-effective and efficient alternative for fungal pathogen detection. We developed the Fi-tNGS assay, a targeted next-generation sequencing method, specifically designed to detect 64 fungal species. Analytical performance was validated by assessing its limit of detection (LoD), reproducibility, and resistance to host DNA interference. Subsequently, a prospective clinical study was conducted, enrolling 104 patients with suspected IPFIs. Clinical diagnostic performance was evaluated by comparing Fi-tNGS, mNGS, and conventional microbial culture against a comprehensive diagnostic standard. Fi-tNGS detected 109 pathogens, compared to 110 for mNGS and 77 for culture. The sensitivity and specificity of tNGS were 89.7% and 94.2%, respectively, outperforming culture (65.8% sensitivity, 100% specificity). Combining culture with tNGS or mNGS significantly improved sensitivity to 94.8% and 94.0%, respectively. These findings demonstrate the added diagnostic value of NGS methods for IPFIs. tNGS provides accurate and efficient fungal pathogen detection, with sensitivity comparable to mNGS and superior to culture. Its cost-effectiveness and shorter turnaround time highlight its potential as a practical tool for the rapid and precise diagnosis of IPFIs in clinical settings.

Journal of Translational MedicineVol. 23(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Annoroad Gene Technology (China) (CN), First Hospital of China Medical University (CN), China Medical University (CN)
National Science and Technology Major Project, National Key Research and Development Program of China
Openalex Percentile: Top 18%
Antifungal resistance and susceptibility
1.40
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.