Biofilm-Forming Capacity and fimH Gene Prevalence Among Uropathogenic Klebsiella spp. in Gabon: Assessing the Link with Resistance to Third-Generation Cephalosporins and Aminoglycosides

Background/Objectives: Bacteria of the genus Klebsiella are opportunistic pathogens frequently responsible for severe urinary tract infections (UTIs). Biofilm formation is a critical virulence factor that facilitates bacterial persistence and promotes the dissemination of antimicrobial resistance. This study aimed to characterize the biofilm-forming capacity and the prevalence of the fimH adhesin gene among clinical Klebsiella isolates in Gabon, and to evaluate their association with resistance to third-generation cephalosporins and aminoglycosides. Methods: A total of 114 urinary isolates, including Klebsiella pneumoniae (n = 96), Klebsiella oxytoca (n = 7), and Klebsiella aerogenes (n = 11), were analyzed. Biofilm formation was assessed using the crystal violet staining method and quantified by spectrophotometry. The fimH gene was detected using conventional PCR. Susceptibility to cefotaxime, ceftazidime, gentamicin, and amikacin was determined using an automated system. Results: The study revealed that 81.58% of the clinical Klebsiella isolates were biofilm producers. Quantitative analysis showed a predominance of weak (43.86%) and moderate (26.32%) producers, while only 5.26% were categorized as strong producers. The fimH gene was detected in 95.61% of the isolates, reaching 100% prevalence in Klebsiella pneumoniae. Interestingly, non-biofilm-producing Klebsiella spp. isolates exhibited the highest resistance rates to 3GC (67.90% for both cefotaxime and ceftazidime), suggesting that resistance to this class may be independent of biofilm-forming capacity in this cohort. Conversely, the highest resistance rates to aminoglycosides were observed among strong biofilm producers, reaching 60% for gentamicin and 40% for amikacin. Conclusions: Uropathogenic Klebsiella spp. in Gabon exhibit a high capacity for biofilm formation, with resistance patterns appearing to be antibiotic-class dependent. These findings suggest that considering biofilm phenotypes could be relevant for microbiological surveillance to improve the understanding of UTI resistance dynamics.

Authors

Institutions

Publication Details

Journal
Antibiotics
Published
2026-07-30
DOI
https://doi.org/10.3390/antibiotics15080736
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biofilm-Forming Capacity and fimH Gene Prevalence Among Uropathogenic Klebsiella spp. in Gabon: Assessing the Link with Resistance to Third-Generation Cephalosporins and Aminoglycosides

Jean Fabrice Yala, Raoul Ampa, Florian Mbadinga Mackanga, Mundunge Mambu et al.
Antibiotics
Antibiotic Resistance in Bacteria
article

Biofilm-Forming Capacity and fimH Gene Prevalence Among Uropathogenic Klebsiella spp. in Gabon: Assessing the Link with Resistance to Third-Generation Cephalosporins and Aminoglycosides

Jean Fabrice Yala, Raoul Ampa, Florian Mbadinga Mackanga, Mundunge Mambu, Fred Stecy Litchangou Bouka, Evrard Mayombo Ngoussou, Ornella Zong Minko, Léonce Fauster Ondjiangui, Rolande Mabika Mabika, Franck Mounioko
article en

Abstract

Background/Objectives: Bacteria of the genus Klebsiella are opportunistic pathogens frequently responsible for severe urinary tract infections (UTIs). Biofilm formation is a critical virulence factor that facilitates bacterial persistence and promotes the dissemination of antimicrobial resistance. This study aimed to characterize the biofilm-forming capacity and the prevalence of the fimH adhesin gene among clinical Klebsiella isolates in Gabon, and to evaluate their association with resistance to third-generation cephalosporins and aminoglycosides. Methods: A total of 114 urinary isolates, including Klebsiella pneumoniae (n = 96), Klebsiella oxytoca (n = 7), and Klebsiella aerogenes (n = 11), were analyzed. Biofilm formation was assessed using the crystal violet staining method and quantified by spectrophotometry. The fimH gene was detected using conventional PCR. Susceptibility to cefotaxime, ceftazidime, gentamicin, and amikacin was determined using an automated system. Results: The study revealed that 81.58% of the clinical Klebsiella isolates were biofilm producers. Quantitative analysis showed a predominance of weak (43.86%) and moderate (26.32%) producers, while only 5.26% were categorized as strong producers. The fimH gene was detected in 95.61% of the isolates, reaching 100% prevalence in Klebsiella pneumoniae. Interestingly, non-biofilm-producing Klebsiella spp. isolates exhibited the highest resistance rates to 3GC (67.90% for both cefotaxime and ceftazidime), suggesting that resistance to this class may be independent of biofilm-forming capacity in this cohort. Conversely, the highest resistance rates to aminoglycosides were observed among strong biofilm producers, reaching 60% for gentamicin and 40% for amikacin. Conclusions: Uropathogenic Klebsiella spp. in Gabon exhibit a high capacity for biofilm formation, with resistance patterns appearing to be antibiotic-class dependent. These findings suggest that considering biofilm phenotypes could be relevant for microbiological surveillance to improve the understanding of UTI resistance dynamics.

AntibioticsVol. 15(8)
Omar Bongo University (GA), Université des Sciences de la Santé (GA), Centre International de Recherches Médicales de Franceville (GA), Université des Sciences et Techniques de Masuku (GA), Laboratoire National de Santé (LU), Marien Ngouabi University (CG)
Openalex Percentile: Top 16%
Antibiotic Resistance in Bacteria
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.