ORIGINAL RESEARCH article
Front. Cell. Infect. Microbiol.
Sec. Clinical Infectious Diseases
Volume 15 - 2025 | doi: 10.3389/fcimb.2025.1631960
This article is part of the Research TopicExploring Clinical Application Scenarios of Metagenomic Next-Generation Sequencing for Pathogen DiagnosisView all 6 articles
Clinical performance of metagenomic next-generation sequencing for distinction and diagnosis of Mucorales infection and colonization
Provisionally accepted- 1Department of Laboratory Medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- 2Department of Dermatology, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- 3Department of Critical Care Medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- 4Department of Radiology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
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Mucormycosis is a lethal fungal infection disease with high mortality rate. However, investigations assessing the value of metagenomic next-generation sequencing (mNGS) for distinguishing Mucorales infection from colonization are currently insufficient. A retrospective analysis of clinical date from 71 patients at Sichuan Provincial People's Hospital from September 2021 to September 2024 was conducted. The performance of mNGS in distinguishing Mucorales infection from colonization, along with the differences in patients' characteristics, imaging characteristics, antimicrobial adjustment, and microbiota, were examined. Among the 71 patients, 51 were identified as Mucorales infection group (3 proven and 48 probable cases), and 20 were colonization group (possible cases). Receiver operating characteristic (ROC) curve for mNGS indicated an area under the curve of 0.7662 (95%CI: 0.6564-0.8759), with an optimal threshold value of 51 for discriminating Mucorales infection from colonization. The infection group exhibited a higher proportion of antimicrobial adjustments compared to the colonization group (64.71% vs. 35.00%, P < 0.05), with antifungal agent changed being more dominant (43.14% vs. 10.00%, P < 0.01). Mucorales RPTM value, length of hospital stays, hsCRP, immunocompromised, malignant blood tumor, and antifungal changed were significantly positively correlated with Mucorales infection. Rhizomucor pusillus showed significant differences between the two groups. The abundance of Torque teno virus significantly increased in the infection group, whereas the colonization group exhibited higher abundance of Rhizomucor delemar. mNGS is a valuable tool for differentiating colonization from infection of Mucorales. Malignant blood tumor, immunocompromised, length of hospital stays and hsCRP were significant different indicators between patients with Mucorales infection from colonization.
Keywords: mNGS recognition Mucorales infection mucormycosis, Mucorales, diagnosis, metagenomic next-generation sequencing, optimal threshold value
Received: 20 May 2025; Accepted: 01 Sep 2025.
Copyright: © 2025 Zhou, Yang, Liu, Wang, Li, Pan, Peng, Yu and Deng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Hua Yu, Department of Laboratory Medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
Xiren Deng, Department of Laboratory Medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
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