Virulence, Phylogenetic Grouping, and Antimicrobial Resistance Traits of Extraintestinal <i>Escherichia coli</i> in Clinical Isolates From Northwest Mexico

<i>Escherichia coli</i> is a highly diverse bacterial species that is canonically commensal; however, its genomic characteristics have enabled its evolution into pathogens capable of causing extraintestinal infections (ExPEC), which pose significant clinical challenges because of the variety of sites that can infect (mainly the urinary tract) and the multidrug resistance associated with these strains. The present study is aimed at characterizing ExPEC isolates recovered from the wards of a hospital in Sinaloa, Mexico, to establish their virulence and antimicrobial resistance profiles, as well as the phylogenetic group. Then, 200 <i>Escherichia coli</i> isolates and their antimicrobial susceptibility were confirmed by the VITEK-2 automated system. Virulence factor genes and phylogenetic grouping were performed through endpoint and multiplex PCRs. Then, 59% of the strains produced extended-spectrum <i>β</i>-lactamases (ESBLs), and 71.5% were classified as multidrug resistant (MDR), exhibiting high resistance rates to antibiotics such as amoxicillin, ampicillin, ciprofloxacin, and various cephalosporins. In this sense, 68.5% and 33% of the isolates were positive for the <i>blaCTX-M1-8</i> and <i>blaCTX-M9</i> genes, respectively, both associated with resistance to cefotaxime. Furthermore, 37% of the isolates harbored the <i>blaOXA48</i> gene, which is linked to resistance to oxacillin-type <i>β</i>-lactams. Moreover, 143 (71.5%) of them were classified as MDR. Regarding virulence, the distribution of toxin genes such as <i>hlyA</i> and <i>vat</i> was 16.5% and 24.5%, respectively. Adhesins <i>papC</i> and <i>fimA</i> were found in 62% and 34%, respectively. Additionally, the iron acquisition systems and outer membrane proteins such as <i>iutA</i> (74%), <i>fyuA</i> (63%), <i>iroN</i> (10%), <i>agn43</i> (82%), and <i>kpsmTII</i> (34.5%) were present in the isolates. Phylogenetic analysis showed a predominance of group B2 (46%), followed by groups A (13.5%) and E (10.5%). These findings highlight the complexity and challenges posed by ExPEC strains in terms of antimicrobial resistance and virulence relevant to public health in hospital settings.

Authors

Institutions

Publication Details

Journal
International Journal of Microbiology
Published
2025-01-01
DOI
https://doi.org/10.1155/ijm/8881117
Primary Topic
Urinary Tract Infections Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Virulence, Phylogenetic Grouping, and Antimicrobial Resistance Traits of Extraintestinal Escherichia coli in Clinical Isolates From Northwest Mexico

Aldo F. Clemente-Soto, Edwin Barrios-Villa, Rodolfo Bernal-Reynaga, Patricia Catalina García-Cervantes et al.
International Journal of Microbiology
Urinary Tract Infections Management
article

Virulence, Phylogenetic Grouping, and Antimicrobial Resistance Traits of Extraintestinal Escherichia coli in Clinical Isolates From Northwest Mexico

Aldo F. Clemente-Soto, Edwin Barrios-Villa, Rodolfo Bernal-Reynaga, Patricia Catalina García-Cervantes, María Elena Báez‐Flores, Ana María Castañeda-Meléndrez
article en

Abstract

<i>Escherichia coli</i> is a highly diverse bacterial species that is canonically commensal; however, its genomic characteristics have enabled its evolution into pathogens capable of causing extraintestinal infections (ExPEC), which pose significant clinical challenges because of the variety of sites that can infect (mainly the urinary tract) and the multidrug resistance associated with these strains. The present study is aimed at characterizing ExPEC isolates recovered from the wards of a hospital in Sinaloa, Mexico, to establish their virulence and antimicrobial resistance profiles, as well as the phylogenetic group. Then, 200 <i>Escherichia coli</i> isolates and their antimicrobial susceptibility were confirmed by the VITEK-2 automated system. Virulence factor genes and phylogenetic grouping were performed through endpoint and multiplex PCRs. Then, 59% of the strains produced extended-spectrum <i>β</i>-lactamases (ESBLs), and 71.5% were classified as multidrug resistant (MDR), exhibiting high resistance rates to antibiotics such as amoxicillin, ampicillin, ciprofloxacin, and various cephalosporins. In this sense, 68.5% and 33% of the isolates were positive for the <i>blaCTX-M1-8</i> and <i>blaCTX-M9</i> genes, respectively, both associated with resistance to cefotaxime. Furthermore, 37% of the isolates harbored the <i>blaOXA48</i> gene, which is linked to resistance to oxacillin-type <i>β</i>-lactams. Moreover, 143 (71.5%) of them were classified as MDR. Regarding virulence, the distribution of toxin genes such as <i>hlyA</i> and <i>vat</i> was 16.5% and 24.5%, respectively. Adhesins <i>papC</i> and <i>fimA</i> were found in 62% and 34%, respectively. Additionally, the iron acquisition systems and outer membrane proteins such as <i>iutA</i> (74%), <i>fyuA</i> (63%), <i>iroN</i> (10%), <i>agn43</i> (82%), and <i>kpsmTII</i> (34.5%) were present in the isolates. Phylogenetic analysis showed a predominance of group B2 (46%), followed by groups A (13.5%) and E (10.5%). These findings highlight the complexity and challenges posed by ExPEC strains in terms of antimicrobial resistance and virulence relevant to public health in hospital settings.

International Journal of MicrobiologyVol. 2025(1)
Universidad Autónoma de Sinaloa (MX), Universidad de Sonora (MX)
Openalex Percentile: Top 64%
Urinary Tract Infections Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.