Evidence map›Paper›PMID 41174628›Full record

ArticleJournal of translational medicine2025

Ultra-broad hybrid capture-based targeted next-generation sequencing for sensitive plasma pathogen cfDNA detection in bloodstream infections.

Muyun Wei, Xiangzhao Ai, Dejian Gu, Shengyang Zhang, Ke Xu, Shuangshuang Li, Shaowei Mao, Min Li

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Muyun Wei *Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, No.160 Pujian Road, Shanghai, China.ORCID 0000-0002-5179-7676
Xiangzhao Ai *Department of Bioengineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, No. 600 Dongchuan Road, Shanghai, China.
Dejian GuGeneplus-Beijing Co., Ltd., Beijing, China.
Shengyang ZhangDepartment of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, No.160 Pujian Road, Shanghai, China.
Ke XuDepartment of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, No.160 Pujian Road, Shanghai, China.
Shuangshuang LiDepartment of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, No.160 Pujian Road, Shanghai, China.
Shaowei MaoDepartment of Bioengineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, No. 600 Dongchuan Road, Shanghai, China. msw2940@163.com.
Min LiDepartment of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, No.160 Pujian Road, Shanghai, China. rjlimin@shsmu.edu.cn.

Funding

National Key Research and Development Program 2025YFC3409100Science and Technology Innovation Plan Of Shanghai Science and Technology Commission 23YF1431300Science and Technology Innovation Plan Of Shanghai Science and Technology Commission 24SF1903500
6 · The paper itself

Abstract

backgroundThe limited genomic targeting range of current targeted next-generation sequencing (tNGS) workflows results in limited detection of pathogen-derived cell-free DNA (cfDNA), making it challenging to apply this approach to bloodstream infections (BSIs). Here, we developed an ultra-broad hybrid capture-based tNGS method to detect plasma pathogen-derived cfDNA and evaluate its suitability for the diagnosis of BSI.

methodsThis study introduced an ultra-broad hybrid capture-based tNGS method featuring an ultra-broad pathogen panel (1872 pathogens) and high-density probe coverage. To adequately evaluate its performance, we conducted retrospective tests in 208 suspected BSI patients (139 immunocompromised), comparing tNGS results with mNGS, conventional microbiological testing (CMT), and comprehensive clinical diagnoses.

resultsIn pathogen detection, the concordance between ultra-broad hybrid capture-based tNGS and mNGS results was 93.75%. The diagnostic accuracy of tNGS in BSI was comparable to mNGS (76.44% vs. 75.00%) and significantly higher than CMT (45.67%, p < 0.0001). In immunocompromised populations, the diagnostic accuracy of tNGS was similar to mNGS (77.70% vs. 76.98%). tNGS detected 92.09% (163/177) of pathogens identified by mNGS. Two of the missed pathogens were not included in the 1872 pathogens panel, and both were from the immunocompromised group.

conclusionsUltra-broad hybrid capture-based tNGS exhibits sensitivity and accuracy comparable to mNGS, effectively covering a relatively wide range of pathogens, and may serve as an economic screening tool for BSI in the future.

Indexed as

Cell-Free Nucleic AcidsHigh-Throughput Nucleotide SequencingSepsisAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesCell-Free Nucleic AcidsBloodstream infections (BSI)CfDNAImmunocompromised patientsMetagenomic next-generation sequencing (mNGS)Ultra-broad hybrid capture-based targeted next-generation sequencing (tNGS)

Identifiers

PMID41174628
PMCPMC12576977

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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.