Evidence map›Paper›PMID 42539859›Full record

ArticleFrontiers in cellular and infection microbiology2026

Application of metagenomic next-generation sequencing as an adjunct to conventional microbiological testing for the diagnosis of infection in kidney transplant recipients.

Hanilen Vuth, Weili Wang, Wenhan Qin, Meng Yang, Youzan Li, Qiang Zhou, Xiaosong Xu, Juan Zhang, Hongwen Zhao

Abstract read
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Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Hanilen Vuth *Department of Nephrology, the First Affiliated Hospital of Army Medical University, Chongqing, China.
Weili Wang *Department of Nephrology, the First Affiliated Hospital of Army Medical University, Chongqing, China.
Wenhan QinDepartment of Nephrology, the First Affiliated Hospital of Army Medical University, Chongqing, China.
Meng YangDepartment of Nephrology, the First Affiliated Hospital of Army Medical University, Chongqing, China.
Youzan LiDepartment of Nephrology, the First Affiliated Hospital of Army Medical University, Chongqing, China.
Qiang ZhouDepartment of Nephrology, the First Affiliated Hospital of Army Medical University, Chongqing, China.
Xiaosong XuDepartment of Nephrology, the First Affiliated Hospital of Army Medical University, Chongqing, China.
Juan ZhangInfectious Diseases Department, the First Affiliated Hospital of Army Medical University, Chongqing, China.
Hongwen ZhaoDepartment of Nephrology, the First Affiliated Hospital of Army Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kidney transplant recipients are highly susceptible to opportunistic and nosocomial infections that demand rapid and accurate diagnosis due to the broad and complex spectrum of pathogens. Conventional microbiological testing (CMT) is often limited, particularly when patients are already receiving antimicrobial therapy at the time of sampling. This study aimed to evaluate the clinical value of metagenomic next-generation sequencing (mNGS) as a complementary diagnostic approach to CMT, with a focus on concordance and discrepancies between the two methods across peripheral blood, sputum, bronchoalveolar lavage fluid (BALF), and urine samples. Methods: We conducted a retrospective study of kidney transplant recipients with suspected infections who underwent simultaneous mNGS and CMT testing between March 2022 and May 2024. The impact of prior antibiotic exposure on diagnostic yield was assessed. Detection of antimicrobial resistance (AMR) genes by mNGS and subsequent modifications in anti-infective management were also analyzed. Results: A total of 243 samples (57 blood, 96 sputum, 71 BALF, 19 urine) were included. Across all sample types, mNGS demonstrated significantly higher positive rates than CMT (blood: 78.95% vs 21.05%; BALF: 90.14% vs 19.72%; sputum: 92.71% vs 20.83%; urine: 89.47% vs 36.84%; all P<0.001). Prior antibiotic exposure markedly reduced CMT positivity but had minimal impact on mNGS detection. Concordance analysis showed 40.35% of samples were positive by both methods, while 60.1% were negative by CMT but positive by mNGS. In addition to pathogens identified by CMT, mNGS detected a broader range of microorganisms, including viruses (e.g., cytomegalovirus, Epstein-Barr virus, SARS-CoV-2), fungi (Pneumocystis jirovecii), and parasites (Strongyloides stercoralis, Toxoplasma gondii). Overall, mNGS-guided results refined antibiotic treatment strategies in 110 cases (60.11%). Conclusion: mNGS serves as a valuable adjunct to CMT in kidney transplant recipients, providing rapid and comprehensive pathogen identification. However, from a health economics perspective, mNGS should be applied selectively according to clinical needs, rather than as a universal first-line diagnostic method.

Indexed as

High-Throughput Nucleotide SequencingKidney TransplantationMetagenomicsMicrobiological TechniquesTransplant RecipientsAdultAgedBacteriaBronchoalveolar Lavage FluidFemaleHumansMaleMiddle AgedRetrospective StudiesSputumdrug resistance geneskidney transplantationmetagenomic next generation sequencing(mNGS)pulmonary infectionurinary tract infections

Identifiers

PMID42539859
PMCPMC13424443

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.