Evidence map›Paper›PMID 42039751›Full record

ArticleFrontiers in cellular and infection microbiology2026

Integrative analysis of pathogen detection, antimicrobial resistance, virulence, and host response in severe infections using metagenomic next-generation sequencing.

Xu-Guang Chen, Lei Zhou, Kai Duan, Sheng-Yi Shi, Abudurexiti Subi, Han-Wen Sun, Yi-Ming Lu, Lan Hu, Zhi-Tao Yang

Abstract read
In one paragraph

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

What it found

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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.

Xu-Guang Chen *Emergency Department of Shanghai Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Lei Zhou *Emergency Department of Shanghai Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Kai Duan *Emergency Department of Yueyang Central Hospital, Hunan, China.
Sheng-Yi ShiEmergency Department of Shanghai Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Abudurexiti SubiEmergency Department of Shanghai Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Han-Wen SunEmergency Department of Shanghai Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yi-Ming LuEmergency Department of Shanghai Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Lan HuEmergency Department of Shanghai Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zhi-Tao YangEmergency Department of Shanghai Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metagenomic next-generation sequencing (mNGS) offers unbiased pathogen detection. However, its integrative value in simultaneously revealing resistance, virulence, and host-response interplay in Intensive Care Unit(ICU)-infected patients remains underexplored. Methods: In this retrospective cohort study of 156 ICU-infected patients, we compared the diagnostic performance of mNGS against conventional microbiological testing (CMT). We analyzed mNGS-derived antibiotic resistance genes (ARGs) and virulence factors (VFs) and correlated them with host immune-inflammatory markers and clinical outcomes. Results: mNGS demonstrated a significantly higher positive detection rate (89.7% vs. 67.3%, P < 0.001) and clinical concordance (75.6% vs. 35.9%, P < 0.001) than CMT. It revealed a high mixed-infection rate (72.1%). ARGs were detected in 49.0% of bacterial infections, predominantly β-lactamase genes, showing 72.0% concordance with phenotypic susceptibility. Key VFs (e.g., Conclusion: mNGS provides a comprehensive diagnostic tool by integrating pathogen identification, resistance and virulence profiling, and host-response context, enabling more precise and timely management of ICU-infected patients.

Indexed as

BacteriaBacterial InfectionsHigh-Throughput Nucleotide SequencingHost-Pathogen InteractionsMetagenomicsAgedChinaCohort StudiesDrug Resistance, BacterialFemaleHumansIntensive Care UnitsMaleMiddle AgedVirulenceantimicrobial resistancehost immune responseinfections in ICU patientsmetagenomic next-generation sequencing (mNGS)precision medicinevirulence factor

Identifiers

PMID42039751
PMCPMC13105863

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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.