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Antibiotic Resistance Profiling of Pathogenic Staphylococcus Species from Urinary Tract Infection Patients in Benin

Staphylococci can cause urinary tract infections (UTIs). These UTIs are among the significant causes of antibiotic resistance and the spread of antibiotic-resistant diseases. The current study is aimed at establishing a resistance profile and determining the pathogenicity of Staphylococcus strains i...

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Autores principales: Assouma, Funkè F., Sina, Haziz, Dossou, Ange D., Socohou, Akim, Hounsou, Milka C., Avogbe, Patrice H., Boya, Bawa, Mousse, Wassiyath, Adjanohoun, Adolphe, Baba-Moussa, Lamine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202603/
https://www.ncbi.nlm.nih.gov/pubmed/37223336
http://dx.doi.org/10.1155/2023/6364128
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author Assouma, Funkè F.
Sina, Haziz
Dossou, Ange D.
Socohou, Akim
Hounsou, Milka C.
Avogbe, Patrice H.
Boya, Bawa
Mousse, Wassiyath
Adjanohoun, Adolphe
Baba-Moussa, Lamine
author_facet Assouma, Funkè F.
Sina, Haziz
Dossou, Ange D.
Socohou, Akim
Hounsou, Milka C.
Avogbe, Patrice H.
Boya, Bawa
Mousse, Wassiyath
Adjanohoun, Adolphe
Baba-Moussa, Lamine
author_sort Assouma, Funkè F.
collection PubMed
description Staphylococci can cause urinary tract infections (UTIs). These UTIs are among the significant causes of antibiotic resistance and the spread of antibiotic-resistant diseases. The current study is aimed at establishing a resistance profile and determining the pathogenicity of Staphylococcus strains isolated from UTI samples collected in Benin. For this purpose, urine samples (one hundred and seventy) that were collected from clinics and hospitals showed UTI in patients admitted/visited in Benin. The biochemical assay method was used to identify Staphylococcus spp., and the disk diffusion method tested the antimicrobial susceptibility. The biofilm formation ability of the isolates of Staphylococcus spp. was investigated by the colorimetric method. The presence of mecA, edinB, edinC, cna, bbp, and ebp genes was examined by multiplex polymerase chain reaction (PCR). The results showed that Staphylococcus species were identified in 15.29% of all infected individuals and that 58% of these strains formed biofilms. Most Staphylococcus strains (80.76%) were isolated in female samples, and the age group below 30 years appeared to be the most affected, with a rate of 50%. All Staphylococcus strains isolated were 100% resistant to penicillin and oxacillin. The lowest resistance rates were seen with ciprofloxacin (30.8%), gentamicin, and amikacin (26.90%). Amikacin was the best antibiotic against Staphylococcus strains isolated from UTIs. The isolates carried mecA (42.31%), bbp (19.23%), and ebp (26.92%) genes in varying proportions. This study provides new information on the risks posed to the population by the overuse of antibiotics. In addition, it will play an essential role in restoring people's public health and controlling the spread of antibiotic resistance in urinary tract infections in Benin.
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spelling pubmed-102026032023-05-23 Antibiotic Resistance Profiling of Pathogenic Staphylococcus Species from Urinary Tract Infection Patients in Benin Assouma, Funkè F. Sina, Haziz Dossou, Ange D. Socohou, Akim Hounsou, Milka C. Avogbe, Patrice H. Boya, Bawa Mousse, Wassiyath Adjanohoun, Adolphe Baba-Moussa, Lamine Biomed Res Int Research Article Staphylococci can cause urinary tract infections (UTIs). These UTIs are among the significant causes of antibiotic resistance and the spread of antibiotic-resistant diseases. The current study is aimed at establishing a resistance profile and determining the pathogenicity of Staphylococcus strains isolated from UTI samples collected in Benin. For this purpose, urine samples (one hundred and seventy) that were collected from clinics and hospitals showed UTI in patients admitted/visited in Benin. The biochemical assay method was used to identify Staphylococcus spp., and the disk diffusion method tested the antimicrobial susceptibility. The biofilm formation ability of the isolates of Staphylococcus spp. was investigated by the colorimetric method. The presence of mecA, edinB, edinC, cna, bbp, and ebp genes was examined by multiplex polymerase chain reaction (PCR). The results showed that Staphylococcus species were identified in 15.29% of all infected individuals and that 58% of these strains formed biofilms. Most Staphylococcus strains (80.76%) were isolated in female samples, and the age group below 30 years appeared to be the most affected, with a rate of 50%. All Staphylococcus strains isolated were 100% resistant to penicillin and oxacillin. The lowest resistance rates were seen with ciprofloxacin (30.8%), gentamicin, and amikacin (26.90%). Amikacin was the best antibiotic against Staphylococcus strains isolated from UTIs. The isolates carried mecA (42.31%), bbp (19.23%), and ebp (26.92%) genes in varying proportions. This study provides new information on the risks posed to the population by the overuse of antibiotics. In addition, it will play an essential role in restoring people's public health and controlling the spread of antibiotic resistance in urinary tract infections in Benin. Hindawi 2023-05-15 /pmc/articles/PMC10202603/ /pubmed/37223336 http://dx.doi.org/10.1155/2023/6364128 Text en Copyright © 2023 Funkè F. Assouma et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Assouma, Funkè F.
Sina, Haziz
Dossou, Ange D.
Socohou, Akim
Hounsou, Milka C.
Avogbe, Patrice H.
Boya, Bawa
Mousse, Wassiyath
Adjanohoun, Adolphe
Baba-Moussa, Lamine
Antibiotic Resistance Profiling of Pathogenic Staphylococcus Species from Urinary Tract Infection Patients in Benin
title Antibiotic Resistance Profiling of Pathogenic Staphylococcus Species from Urinary Tract Infection Patients in Benin
title_full Antibiotic Resistance Profiling of Pathogenic Staphylococcus Species from Urinary Tract Infection Patients in Benin
title_fullStr Antibiotic Resistance Profiling of Pathogenic Staphylococcus Species from Urinary Tract Infection Patients in Benin
title_full_unstemmed Antibiotic Resistance Profiling of Pathogenic Staphylococcus Species from Urinary Tract Infection Patients in Benin
title_short Antibiotic Resistance Profiling of Pathogenic Staphylococcus Species from Urinary Tract Infection Patients in Benin
title_sort antibiotic resistance profiling of pathogenic staphylococcus species from urinary tract infection patients in benin
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202603/
https://www.ncbi.nlm.nih.gov/pubmed/37223336
http://dx.doi.org/10.1155/2023/6364128
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