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Cited by 435

The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.

Virulence Factors of Enteric Pathogenic Escherichia coli: A Review

Open access
Pakbin, Babak, Brück, Wolfram M., Rossen, John W. A.·2021·International Journal of Molecular Sciences

Abstract

Escherichia coli are remarkably versatile microorganisms and important members of the normal intestinal microbiota of humans and animals. This harmless commensal organism can acquire a mixture of comprehensive mobile genetic elements that contain genes encoding virulence factors, becoming an emerging human pathogen capable of causing a broad spectrum of intestinal and extraintestinal diseases. Nine definite enteric E. coli pathotypes have been well characterized, causing diseases ranging from various gastrointestinal disorders to urinary tract infections. These pathotypes employ many virulence factors and effectors subverting the functions of host cells to mediate their virulence and pathogenesis. This review summarizes new developments in our understanding of diverse virulence factors associated with encoding genes used by different pathotypes of enteric pathogenic E. coli to cause intestinal and extraintestinal diseases in humans.

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Crossref · 10.3390/ijms22189922

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Metadata

Authors
Pakbin, B., Brück, W. M., & Rossen, J. W. A.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2021-09-14
Volume
22
Issue
18
Pages
9922
ISSN
1422-0067 (ISSN-L)
OpenAlex
W3200315824
Cited by
435
References
110
FWCI
27.83
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Virulence Factors of Enteric Pathogenic Escherichia coli: A Review. https://app.cochat.ai/papers/10.3390/ijms22189922
The paper
Pakbin, B., Brück, W. M., & Rossen, J. W. A. (2021). Virulence Factors of Enteric Pathogenic Escherichia coli: A Review. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms22189922

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.