Evaluation of hybrid capture-based targeted and metagenomic next-generation sequencing for pathogenic microorganism detection in infectious keratitis
This study aimed to compare the performance of hybrid capture-based targeted next-generation sequencing (hc-tNGS) and metagenomic next-generation sequencing (mNGS) in detecting the causative pathogens of infectious keratitis. A total of 60 patients with clinically diagnosed infectious keratitis were enrolled between January and December 2024. Corneal scraping samples were analyzed using hc-tNGS and mNGS. Detection rates, pathogen spectra, normalized reads, turnaround time (TAT), and costs were compared between the two techniques. hc-tNGS exhibited a significantly higher overall detection rate than mNGS (86.7% versus 73.3%, P < 0.001). In particular, hc-tNGS detected 29 pathogens (13 bacteria, 9 viruses, and 7 fungi), whereas mNGS detected 22 pathogens (9 bacteria, 7 viruses, and 6 fungi). Furthermore, hc-tNGS detected additional low-abundance pathogens in 17 mNGS-positive patients (28.3%, 17/60) and 8 mNGS-negative patients (11.3%, 8/60). The normalized reads for viruses, bacteria, and fungi in hc-tNGS were 57.2-, 2.7-, and 3.3-fold higher than those in mNGS, respectively (P < 0.001, P = 0.003, and P = 0.028). Moreover, hc-tNGS reduced TAT by 11.3% (18.0 versus 20.3 h) and costs by 22.4–48.8%. The median of sequencing data size of mNGS was 29.8 million (29.8 M) reads, which was significantly higher than that of tNGS (1.5 M, P < 0.001). hc-tNGS demonstrates superior performance and cost-effectiveness in detecting potential pathogens of infectious keratitis, especially low-abundance pathogens, whereas mNGS remains valuable for detecting novel pathogens. Owing to its enhanced performance, faster TAT, and reduced costs, hc-tNGS is a promising clinical tool for pathogen detection.
Authors
- Zhenfeng Deng (ORCID: https://orcid.org/0000-0001-5226-9392)
- Mi Zhou (ORCID: https://orcid.org/0000-0002-0606-2734)
- Qianqian Lan (ORCID: https://orcid.org/0000-0001-8917-6659)
- Hui Huang (ORCID: https://orcid.org/0000-0002-4319-543X)
- Qi Chen (ORCID: https://orcid.org/0000-0003-3559-8914)
- Jiang Li (ORCID: https://orcid.org/0000-0001-5947-6140)
- Chunhong Li (ORCID: https://orcid.org/0000-0003-2943-0306)
- Min Zheng (ORCID: https://orcid.org/0009-0003-9811-4937)
- Dan Wu (ORCID: https://orcid.org/0009-0008-5592-3079)
- Fan Xu (ORCID: https://orcid.org/0000-0001-9984-2854)
- Zhou Zhou (ORCID: https://orcid.org/0009-0002-5573-8208)
- Fengmei Li (ORCID: https://orcid.org/0000-0001-7077-1204)
Institutions
- Guangxi Medical University (CN)
- Kingmed Diagnostics (CN)
Publication Details
- Journal
- BMC Infectious Diseases
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1186/s12879-025-11608-9
- Citations
- 2
- Primary Topic
- Ocular Infections and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 3.41
Funders
- Natural Science Foundation of Guangxi Zhuang Autonomous Region