Dataset Information

SARS-CoV-2 Variant Determination Through SNP Assays in Samples From Industry Workers From Rio de Janeiro, Brazil.

ABSTRACT: Since the first reported case in December 2019, SARS-CoV-2 infections have become a major public health worldwide. Even with the increasing vaccination in several countries and relaxing of social distancing measures, the pandemic remains a threat especially due to the emergence of new SARS-CoV-2 variants. Despite the presence of an enzyme capable of proofreading its genome, high rates of replication provide a source of accumulation of mutations within the viral genome. In this retrospective study, samples from a cohort of industry workers tested by the SESI's COVID-19 mass testing program from September 2020 to May 2021 were analyzed using a mutation panel in order to describe the circulation of currently identified SARS-CoV-2 variants within the samples obtained in Rio de Janeiro State. Our results demonstrated that the variant of interest (VOI) Zeta has been in circulation since October 2020 and reached 87% of prevalence in February 2021 followed by a decrease due to the emergence of Gamma variant of concern (VOC). Gamma was detected in January 2021 in our studied population, and its prevalence increased during the following months, reaching absolute prevalence within positive samples in May. The Alpha variant was detected only in 4-7% of samples during March and April while Beta VOC was not detected in our study. Our data agree with sequencing genomic surveillance databases and highlight the importance of continuous mass testing programs and variant detection in order to control viral spread and guide public health measures.

SUBMITTER: Henriques-Santos BM

PROVIDER: S-EPMC8863740 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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SARS-CoV-2 Variant Determination Through SNP Assays in Samples From Industry Workers From Rio de Janeiro, Brazil.

Henriques-Santos Bianca Monteiro BM Farjun Bruna B Corrêa Isadora Alonso IA Figueiredo Janaina de Barros JB Fidalgo-Neto Antonio Augusto AA Kuriyama Sergio Noboru SN

Frontiers in microbiology 20220209

Since the first reported case in December 2019, SARS-CoV-2 infections have become a major public health worldwide. Even with the increasing vaccination in several countries and relaxing of social distancing measures, the pandemic remains a threat especially due to the emergence of new SARS-CoV-2 variants. Despite the presence of an enzyme capable of proofreading its genome, high rates of replication provide a source of accumulation of mutations within the viral genome. In this retrospective stud ...[more]

PMID: 35222292

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Project description:Urinary tract infections (UTIs) are often caused by Escherichia coli. Their increasing resistance to broad-spectrum antibiotics challenges the treatment of UTIs. Whereas, E. coli ST131 is often multidrug resistant (MDR), ST69 remains susceptible to antibiotics such as cephalosporins. Both STs are commonly linked to community and nosocomial infections. E. coli phylogenetic groups B2 and D are associated with virulence and resistance profiles making them more pathogenic. Little is known about the population structure of E. coli isolates obtained from urine samples of hospitalized patients in Brazil. Therefore, we characterized E. coli isolated from urine samples of patients hospitalized at the university and three private hospitals in Rio de Janeiro, using whole genome sequencing. A high prevalence of E. coli ST131 and ST69 was found, but other lineages, namely ST73, ST648, ST405, and ST10 were also detected. Interestingly, isolates could be divided into two groups based on their antibiotic susceptibility. Isolates belonging to ST131, ST648, and ST405 showed a high resistance rate to all antibiotic classes tested, whereas isolates belonging to ST10, ST73, ST69 were in general susceptible to the antibiotics tested. Additionally, most ST69 isolates, normally resistant to aminoglycosides, were susceptible to this antibiotic in our population. The majority of ST131 isolates were ESBL-producing and belonged to serotype O25:H4 and the H30-R subclone. Previous studies showed that this subclone is often associated with more complicated UTIs, most likely due to their high resistance rate to different antibiotic classes. Sequenced isolates could be classified into five phylogenetic groups of which B2, D, and F showed higher resistance rates than groups A and B1. No significant difference for the predicted virulence genes scores was found for isolates belonging to ST131, ST648, ST405, and ST69. In contrast, the phylogenetic groups B2, D and F showed a higher predictive virulence score compared to phylogenetic groups A and B1. In conclusion, despite the diversity of E. coli isolates causing UTIs, clonal groups O25:H4-B2-ST131 H30-R, O1:H6-B2-ST648, and O102:H6-D-ST405 were the most prevalent. The emergence of highly virulent and MDR E. coli in Brazil is of high concern and requires more attention from the health authorities.

Dataset Information

SARS-CoV-2 Variant Determination Through SNP Assays in Samples From Industry Workers From Rio de Janeiro, Brazil.

Publications

SARS-CoV-2 Variant Determination Through SNP Assays in Samples From Industry Workers From Rio de Janeiro, Brazil.

Similar Datasets

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