. Drug resistance is a major challenge in antibiotic chemotherapy. Assessing resistance profiles of pathogens constitutes an essential surveillance tool in the epidemiology and control of infectious diseases, including Buruli ulcer (BU) disease. With the successful definitive management of BU using rifampicin and streptomycin, little attention had been paid to monitoring emergence of resistant isolates in endemic communities. This study investigated the susceptibility profiles of isolates from two BU endemic areas in Ghana to streptomycin and rifampicin. . The antibiotic susceptibility of seventy (70) isolates to rifampicin and streptomycin was determined simultaneously at critical concentrations of 40 g/mL and 4 g/mL, respectively, by the Canetti proportion method. . Resistance to rifampicin was observed for 12 (17.1%) isolates tested, whilst 2 (2.9%) showed resistance to streptomycin. None of the isolates tested showed dual resistance to both rifampicin and streptomycin. . Outcomes from this study may not be reflective of all BU endemic communities; it, however, provides information on the resistance status of the isolates, which is useful for monitoring of , as well as BU disease surveillance and control.
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http://dx.doi.org/10.1155/2016/8304524 | DOI Listing |
Microorganisms
November 2024
Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Private Bag X20, Hatfield, Pretoria 0028, South Africa.
In the absence of data on the reporting of resistance to antibiotics, we sought to determine which clonal complexes (CCs)/sequence types (STs) circulate in the food chain in Kosovo and to determine their antibiogram profiles to a panel of 18 antibiotics. From a total of 114 isolates, 21 different typical STs were identified by multilocus sequence typing (MLST). Each isolate derived from the food categories was subjected to tests to verify its susceptibility to the selected antibiotics according to the designed Sensititre GPN3F panel.
View Article and Find Full Text PDFCurr Microbiol
January 2025
Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Infection caused by drug-resistant Staphylococcus aureus is a serious public health and veterinary concern. Lack of a comprehensive understanding of the mechanisms underlying the emergence of drug-resistant strains, it makes S. aureus one of the most intractable pathogenic bacteria.
View Article and Find Full Text PDFInfect Dis Clin Microbiol
December 2024
Department of Medical Pharmacology, Sivas Cumhuriyet University Faculty of Medicine, Sivas, Türkiye.
Objective: Tuberculosis (TB) is a public health problem. This study aimed to determine the growth rates and drug susceptibility levels of patients with complex (MTC) growth in cultures obtained and to compare the results with the growth rates and drug susceptibility levels found in our country and other countries. It also aimed to evaluate the results of supplementing classical methods such as Lowenstein-Jensen (LJ) with liquid TK MEDIUM and to determine the relationship between the growth rates obtained with both methods.
View Article and Find Full Text PDFPol J Vet Sci
September 2024
Department of Food Hygiene and Public Health Protection, Institute of Veterinary Medicine, Warsaw University of Life Sciences (SGGW), Nowoursynowska 159, 02-776 Warsaw, Poland.
The material for drug resistance testing was 28 strains of Mycobacterium caprae isolated from tissue collected post mortem from a free-living Bieszczady Mountain European bison (Bison bonasus caucasicus) herd. All drug susceptibility tests were carried out on an automated Bactec mycobacterial growth indicator tube (MGIT) 960 system, using Bactec MGIT 960 streptomycin, isoniazid, rifampin and ethambutol (S.I.
View Article and Find Full Text PDFBMC Infect Dis
December 2024
Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda.
Background: Efforts toward tuberculosis management and control are challenged by the emergence of Mycobacterium tuberculosis (MTB) resistance to existing anti-TB drugs. This study aimed to explore the potential of machine learning algorithms in predicting drug resistance of four anti-TB drugs (rifampicin, isoniazid, streptomycin, and ethambutol) in MTB using whole-genome sequence and clinical data from Uganda. We also assessed the model's generalizability on another dataset from South Africa.
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