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Fatoba, D.

Publications and source records attributed to Fatoba, D..

2 recordsLinked to original sources

Genomic and Bioinformatic Insights into Enterococcus faecalis from Retail Meats in Nigeria

BackgroundEnterococcus faecalis (E. faecalis) is a commensal and opportunistic pathogen increasingly recognized for its antimicrobial resistance (AMR) and zoonotic potential. This study employs whole-genome sequencing (WGS) to characterize E. faecalis isolates from retail meat samples, focusing on antimicrobial resistance genes (ARGs), virulence determinants, mobile genetic elements, and phylogenomic relationships. Materials and MethodsFifty raw meat samples, including chicken (n=18), beef (n=17), and turkey (n=15), were collected from retail markets in Akungba-Akoko, Nigeria. E. faecalis isolates were identified using standard microbiological methods and subjected to antimicrobial susceptibility testing were further analysed using WGS. ResultsTen E. faecalis isolates were recovered, with the highest prevalence in chicken (n=6), followed by beef (n=2) and turkey (n=2). All isolates were resistant to clindamycin, erythromycin, and tetracycline. Frequent ARGs included aac(6)-aph(2), ant(6)-Ia, lsa(A), erm(B), tet(M), and tet(L). Plasmid replicons rep9c and repUS43 showed ST-specific associations with ST477 and ST16, respectively. MGEs such as IS3, IS6, IS256, and IS1380 co-localized with ARGs and virulence determinants. Phylogenomic analysis revealed two major lineages, with ST477 distributed across meat types and ST16 restricted to chicken. Comparative genomic analysis with publicly available African E. faecalis isolates revealed distinct clonal lineages and geographic clustering across the continent. ConclusionThe co-occurrence of multidrug resistance, virulence factors, and MGEs in foodborne E. faecalis poses a public health concern due to the risk of horizontal gene transfer and zoonotic spread. These findings underscore the need for genomic surveillance and antimicrobial stewardship in food systems, particularly in low- and middle-income countries.

genomics↗

In silico study of selected alkaloids as dual inhibitors of β and γ-Secretases for Alzheimer's disease

Alzheimers disease (AD) has become ubiquitous as the number of elderly individuals increases and has been conceived as a socioeconomic problem lately. To date, no success is recorded for disease-modifying therapies for AD but only drugs for symptomatic relief exist. Research has been centered on the role of {beta}-amyloid on the pathogenesis of AD, which has led to the development of drugs that target A{beta} ({beta} and {gamma}-Secretase inhibitors) to reduce the amount of A{beta} formed. However, the existing {beta} and {gamma}-Secretase inhibitors were associated with harmful side effects, low efficacy, and inability to cross the blood-brain barrier. Thus, in this current study, 54 alkaloids from the PhytoHub server (phytohub.eu), and two approved drugs were docked against {beta}-Secretases. Additionally, galantamine and 5 alkaloids with the utmost binding potential with {beta}-secretase were subjected to pharmacokinetics evaluation and docked against {gamma}-secretase. . From our result, 5 compounds displayed for both docking periods, with demissidine, solasodine, tomatidine, and solanidine having better BE than the control drugs. Based on the Pharmacokinetics evaluation, 4 compounds possessed good pharmacokinetic evaluation and biological activities than galantamine. This study suggests that demissidine, solasodine, tomatidine, and solanidine are promising dual inhibitors against {beta} and {gamma}-Secretase proteins in silico. However, there is an urgent need to carry out in vitro and in vivo experiments on these new leads to validate the findings of this study.

bioinformatics↗