Immuno-informatics design of a multimeric epitope peptide based vaccine targeting SARS-CoV-2 spike glycoprotein.

Developing an efficacious vaccine for SARS-CoV-2 infection is critical to stemming COVID-19 fatalities and providing the global community with immune protection. We have used a bioinformatic approach to aid in designing an epitope peptide-based vaccine against the spike protein of the virus. Five antigenic B cell epitopes with viable antigenicity and a total of 27 discontinuous B cell epitopes were mapped out structurally in the spike protein for antibody recognition. We identified eight CD8+ T cell 9-mers and 12 CD4+ T cell 14-15-mer as promising candidate epitopes putatively restricted by a large number of MHC I and II alleles, respectively. We used this information to construct an in silico chimeric peptide vaccine whose translational rate was highly expressed when cloned in pET28a (+) vector. With our In silico test, the vaccine construct was predicted to elicit high antigenicity and cell-mediated immunity when given as a homologous prime-boost, triggering of toll-like receptor 5 by the adjuvant linker. The vaccine was also characterized by an increase in IgM and IgG and an array of Th1 and Th2 cytokines. Upon in silico challenge with SARS-CoV-2, there was a decrease in antigen levels using our immune simulations. We, therefore, propose that potential vaccine designs consider this approach.

Knowledge, attitude, and practice of Nigerian commercial motorcyclists in the use of crash helmet and other safety measures.

OBJECTIVE: This study was designed to evaluate the knowledge, attitude, and practice of some commercial motorcyclists in Nigeria in the use of crash helmet and other cycling safety measures. METHODS: At randomly selected commercial motorcycle parks from two South Western Nigerian locations (Lagos and Ile-Ife), we obtained verbal consent from commercial motorcyclists (randomly selected) and thereafter administered structured questionnaires to consenting motorcyclists. The questionnaire sought to know the respondents' biodata (age, gender, and educational attainment inclusive), cycling background, and experience (trainer, duration of training and cycling, and history of crashes). Furthermore, risk factors and practices like alcoholism, maintenance history of the motorcycle, maximum number of pillion passengers carried, and use of crash helmet were elicited. Respondents' knowledge of available safety measures was also investigated. Data was entered into an IBM compatible computer and analyzed using the SPSS 11.0 statistical software. Statistical significance was inferred at p value<0.05. RESULTS: There were 224 male respondents aged 15-58 years. Their peak age was 25-29 years and mean 35.1+/-8.9 years; 8.4% had no formal education; 10.3% received formal training but the majority were either trained by self (35.5%) or an acquaintance (34.6%). Training lasted