Raphael Cavalcante de Medeiros , Késia Thaís Barros dos Santos , Larissa Brasil Skaf , Adriane Meira Mercadante , Matheus Henrique Banchete Rosa , Luiz Eduardo Teixeira de Araújo Pacheco , Sergio Eduardo Longo Fracalanzza , Adriana Lúcia Pires Ferreira , Jennifer L. Reimche , Kim M. Gernert , Ellen N. Kersh , Raquel Regina Bonelli
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引用次数: 0
Abstract
Neisseria gonorrhoeae poses a significant global public health challenge due to its ability to rapidly evolve antimicrobial resistance. In this study, we analyzed 141 isolates of N. gonorrhoeae obtained between 2015 and 2022 from clinical laboratories in the metropolitan region of Rio de Janeiro. Antimicrobial susceptibility, resistance mechanisms, and clonal diversity were investigated. Whole-genome sequencing and multilocus sequence typing (MLST) revealed the circulation of internationally relevant sequence types (STs) such as ST-1901, ST-7363, and ST-9363. While non-susceptibility rates to penicillin (98 %) and ciprofloxacin (73 %) remained stable compared to earlier data, tetracycline resistance decreased from 67 % (in 2015–2016) to 20 % (in 2019–2020), likely due to the reduced prevalence of ST-1588. However, mainly after 2020, tetM plasmids were detected in ST-7822 and the emerging ST-7363, suggesting the concern of a rising occurrence of these determinants in the near future. Azithromycin non-susceptibility varied between 15 and 33 % in the different time frames, associated with mutations in the mtrR promoter and rrl gene, affecting isolates across eleven STs. While no ceftriaxone non-susceptibility was identified, ST-1901 and ST-7363 isolates harbored unique mosaic penA 34 alleles, and ST-1580/ST-17526 carried semi-mosaic 93 alleles. These findings underscore the persistence of resistance to older antimicrobials, the spread of plasmid-mediated resistance in key clones, and the growing threat of azithromycin resistance, which could compromise the treatment of gonorrhea in patients allergic to beta-lactams.
期刊介绍:
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .