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In recent years, increasing resistance of to several antibiotics has been reported in different countries. The aim of this study was to evaluate the antibiotic resistance profiles of spp. isolated from clinical samples by phenotypic and molecular methods. A total of 40 nonrepetitive isolates of the group were studied from 2018 to 2019. The species was identified by API 20A system. The minimum inhibitory concentrations (MICs) were determined by Sensititre anaerobe MIC plate. The presence of the and genes was checked by conventional PCR. The association between genes and insertion sequence (IS) was performed by whole genome sequencing. Eleven isolates were categorized as metronidazole-resistant and only 2 isolates harbored the gene. Five isolates were imipenem-resistant, but gene was detected in two isolates. A gene was closely related to the A-4 allele and associated with IS614B. The gene was not related to any gene type and was considered a new variant named L. IS612 was found upstream of L gene. In view of the scarcity of data on , there is a need to surveil antibiotic resistance levels and molecular mechanisms to implement better antimicrobial therapies against this important group of bacteria.
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http://dx.doi.org/10.1089/mdr.2023.0125 | DOI Listing |
J Appl Microbiol
September 2025
Mahatma Gandhi Medical Advanced Research Institute (MGMARI), Sri Balaji Vidyapeeth (Deemed-to-be-University), Pillaiyarkuppam, Pondicherry - 607 402, India.
Aim: To investigate the phenotypic and genomic features of three multidrug-resistant (MDR) clinical mucoid and non-mucoid uropathogenic Escherichia coli (UPEC) strains to understand their antimicrobial resistance, biofilm formation, and virulence in urinary tract infections (UTIs).
Methods And Results: The UPEC strains A5, A10, and A15 were isolated from two UTI patients. Phenotypic assays included colony morphology, antibiotic susceptibility, motility, and biofilm formation.
Vet Med Sci
September 2025
Department of Pharmacology and Toxicology, Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet, Bangladesh.
The emergence of antimicrobial resistance (AMR) Escherichia coli in poultry farming is a growing global public health concern, particularly in Bangladesh, where the use of antibiotics remains largely unregulated. This study aimed to determine the prevalence and AMR patterns of E. coli isolated from broiler chickens in Sylhet district of Bangladesh and to investigate the network of coexisting resistance traits among the isolates.
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
September 2025
Medical Microbiology Department, College of Medicine, Ibn Sina University of Medical and Pharmaceutical Sciences, Baghdad, Iraq.
Pseudomonas aeruginosa is a prominent opportunistic pathogen, especially in burn wound infections, and is often associated with high morbidity and mortality due to its multidrug resistance (MDR) characteristics.This study aimed to evaluate the multidrug resistance profile and perform a molecular phylogenetic analysis of P. aeruginosa isolates recovered from human burn infection sample .
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
September 2025
Department of Public Health, College of Applied Medical Sciences, Qassim University, Buraydah, 51452 P.O. Box 6666, Saudi Arabia.
Foodborne illnesses pose a significant public health threat globally, particularly in Saudi Arabia, where the rapid growth of the food service sector has increased the risk of exposure to multidrug-resistant (MDR) bacteria. Traditional microbiological methods are often time-consuming and may lack precision, highlighting the need for faster and more accurate diagnostic alternatives. In this study, Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) was employed for the rapid and precise identification of bacterial contaminants in ready-to-eat (RTE) foods, alongside an assessment of their antibiotic resistance profiles.
View Article and Find Full Text PDFArch Microbiol
September 2025
Medical and Biological Computing Laboratory, School of Biosciences and Technology (SBST), Vellore Institute of Technology (VIT), Vellore, 632014, India.
Salmonella enterica serovar Typhi, the etiological agent of Typhoid fever, remains a critical public health concern associated with high morbidity in many developing countries. The widespread emergence of multidrug-resistant (MDR) Salmonella Typhi strains against the fluoroquinolone group of antibiotics, particularly ciprofloxacin, poses a significant global therapeutic challenge with underlying resistance due to mutations in quinolone-resistance determining region (QRDR) of gyrA gene, encoding DNA gyrase subunit A (GyrA). In pursuit of alternative therapeutic candidates, the present study was designed to evaluate ciprofloxacin analogues against prevalent GyrA mutations (S83F, D87G, and D87N) to overcome fluoroquinolone resistance through machine learning (ML)-based approach.
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