Evidence map›Paper›PMID 40503834›Full record

ArticleMicrobiology spectrum2025

Distinct molecular characteristics and virulence profiles of carbapenem-resistant

Xiaodan Zhu, Pan Fu, Songzhen Yang, Wenjie Wang, Wenjing Ying, Bijun Sun, Jinqiao Sun, Chuanqing Wang, Qinhua Zhou, Xiaochuan Wang

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. 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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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 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

10 authors.

Xiaodan Zhu *Department of Clinical Immunology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Pan Fu *Department of Clinical Microbiology Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.ORCID 0000-0003-2587-4348
Songzhen YangDepartment of Clinical Immunology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Wenjie WangDepartment of Clinical Immunology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Wenjing YingDepartment of Clinical Immunology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Bijun SunDepartment of Clinical Immunology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Jinqiao SunDepartment of Clinical Immunology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Chuanqing WangDepartment of Clinical Microbiology Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.ORCID 0000-0002-0158-9094
Qinhua ZhouDepartment of Clinical Immunology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.ORCID 0000-0002-5112-3727
Xiaochuan WangDepartment of Clinical Immunology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.ORCID 0000-0003-3768-324X

Funding

National Natural Science Foundation of China 81501419Shanghai Science and Technology Development Foundation ZD2021CY001
6 · The paper itself

Abstract

Bacterial infections, especially multidrug-resistant Gram-negative bacterial infections, pose a great threat to patients with inborn errors of immunity (IEIs). This study investigates the molecular and virulence profiles of carbapenem-resistant IMPORTANCE: Bacterial infection, especially drug-resistant bacterial infection, poses a great risk to patients with IEIs. Antimicrobial resistance, particularly in pediatric patients, is a growing global health threat. Bacteria undergo a series of adaptive changes in response to pressures from the host. Patients with IEI provide a unique immune environment that may profoundly influence the molecular characteristics of bacterial pathogens. However, little is known about the molecular and virulence profiles of carbapenem-resistant

Indexed as

Acinetobacter baumanniiEnterobacter cloacaeEscherichia coliAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesCarbapenemsDrug Resistance, Multiple, BacterialEnterobacteriaceae InfectionsFemaleHumansMaleMicrobial Sensitivity TestsVirulenceVirulence FactorsWhole Genome SequencingAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesCarbapenemsVirulence FactorsAcinetobacter baumanniiCarbapenem-resistantChildrenEnterobacter cloacaeEscherichia coliInborn errors of immunity

Identifiers

PMID40503834
PMCPMC12323661

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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.