Applying metagenomic next-generation sequencing to analyze infections in immunosuppressed patients with chronic kidney disease: A single-center retrospective study
- PMID: 40720455
- DOI: 10.3855/jidc.20713
Applying metagenomic next-generation sequencing to analyze infections in immunosuppressed patients with chronic kidney disease: A single-center retrospective study
Abstract
Introduction: This retrospective study evaluated the diagnostic value and clinical application of metagenomic next-generation sequencing (mNGS) for detecting infections in immunosuppressed CKD patients.
Methodology: Data from immunosuppressed CKD patients who were suspected of having an infection and admitted to Jinling Hospital from 2018-2022 were retrospectively analyzed. The patients were divided into the conventional microbiological testing (CMT)-confirmed infection group (Group I), clinically diagnosed infection group (Group II), and exclusion of infection group (Group III), and the efficiencies of microbiological detection with mNGS and CMT were compared.
Results: In the 303 patients included in this study, 2 (1, 3) types of immunosuppressants were used for a median duration of 7 (2, 50) months. In Group I, 38.79% of the mNGS results were completely consistent with the CMT results, 27.88% were partially consistent, and 33.33% were inconsistent. In Group II, 57.69% of the infecting pathogens were detected by mNGS. Furthermore, 2 patients in Group III had positive NGS results. mNGS outperformed CMT in terms of the time to a positive test and the detection of mixed or rare microbial pathogens (p < 0.05). The sensitivity and accuracy of the detection of infectious pathogens were greater for mNGS than for CMT (p = 0.014).
Conclusions: mNGS can improve the sensitivity and accuracy of infectious pathogen detection in immunosuppressed CKD patients. mNGS is a promising emerging technique for detecting pathogens in CKD patients, with potential benefits in speed and sensitivity, and may provide more diagnostic evidence for the detection of mixed, opportunistic, and rare infectious pathogens.
Keywords: Chronic kidney disease; immunodeficiency; infection; metagenomic next-generation sequencing.
Copyright (c) 2025 Zhe Li, Shuhua Zhu, Jing Jiang, Yang Wang, Yuchao Zhou, Lixuan Lou, Shutian Xu, Shijun Li.
Conflict of interest statement
No Conflict of Interest is declared
Similar articles
-
Clinical value of metagenomic next-generation sequencing in patients with connective tissue diseases co-infections: a single-center study from southern hospital in China.Clin Rheumatol. 2025 Aug;44(8):3265-3275. doi: 10.1007/s10067-025-07525-6. Epub 2025 Jun 20. Clin Rheumatol. 2025. PMID: 40540222
-
Effect of metagenomic next-generation sequencing on clinical outcomes in adults with severe pneumonia post-cardiac surgery: a single-center retrospective study.Sci Rep. 2024 Nov 21;14(1):28907. doi: 10.1038/s41598-024-79843-9. Sci Rep. 2024. PMID: 39572618 Free PMC article.
-
Diagnosis of invasive pulmonary aspergillosis using metagenomic next-generation sequencing and conventional microbial tests post-COVID-19 pandemic.Microbiol Spectr. 2025 Jul;13(7):e0012125. doi: 10.1128/spectrum.00121-25. Epub 2025 Jun 9. Microbiol Spectr. 2025. PMID: 40488474 Free PMC article.
-
Diagnostic accuracy of metagenomic next-generation sequencing in pulmonary tuberculosis: a systematic review and meta-analysis.Syst Rev. 2024 Dec 27;13(1):317. doi: 10.1186/s13643-024-02733-8. Syst Rev. 2024. PMID: 39731100 Free PMC article.
-
The diagnostic efficacy of metagenomic next-generation sequencing (mNGS) in pathogen identification of pediatric pneumonia using bronchoalveolar lavage fluid (BALF): A systematic review and meta-analysis.Microb Pathog. 2025 Jun;203:107492. doi: 10.1016/j.micpath.2025.107492. Epub 2025 Mar 18. Microb Pathog. 2025. PMID: 40113108
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical