Immunoinformatics for Novel Multi-Epitope Vaccine Development in Canine Parvovirus Infections.

Canine parvovirus (CPV-2) is one of the most important pathogens of dogs of all ages, causing pandemic infections that are characterized by fatal hemorrhagic enteritis. The CPV-2 vaccine is recommended as a core vaccine for pet animals. Despite the intensive practice of active immunization, CPV-2 remains a global threat. In this study, a multi-epitope vaccine against CPV-2 was designed, targeting the highly conserved capsid protein (VP2) via in silico approaches. Several immunoinformatics methods, such as epitope screening, molecular docking, and simulation were used to design a potential vaccine construct. The partial protein sequences of the VP2 gene of CPV-2 and protein sequences retrieved from the NCBI were screened to predict highly antigenic proteins through antigenicity, trans-membrane-topology screening, an allergenicity assessment, and a toxicity analysis. Homologous VP2 protein sequences typically linked to the disease were identified using NCBI BLAST, in which four conserved regions were preferred. Overall, 10 epitopes, DPIGGKTGI, KEFDTDLKP, GTDPDDVQ, GGTNFGYIG, GTFYFDCKP, NRALGLPP, SGTPTN, LGLPPFLNSL, IGGKTG, and VPPVYPN, were selected from the conserved regions to design the vaccine construct. The molecular docking demonstrated the higher binding affinity of these epitopes with dog leukocyte antigen (DLA) molecules. The selected epitopes were linked with Salmonella enterica flagellin FliC adjuvants, along with the PADRE sequence, by GGS linkers to construct a vaccine candidate with 272 nucleotides. The codon adaptation and in silico cloning showed that the generated vaccine can be expressed by the E. coli strain, K12, and the sequence of the vaccine construct showed no similarities with dog protein. Our results suggest that the vaccine construct might be useful in preventing canine parvoviral enteritis (CPE) in dogs. Further in vitro and in vivo experiments are needed for the validation of the vaccine candidate.

Targeting Oxidative Stress Markers, Xanthine Oxidase, TNFRSF11A and Cathepsin L in Curcumin-Treated Collagen-Induced Arthritis: A Physiological and COSMO-RS Study.

The effectiveness of curcumin in preventing and treating collagen-induced inflammatory arthritis (CIA) in rats and oxidative stress in rats was investigated. We investigated curcumin's curative and preventive effects on paw edema, arthritic size, body weight, and radiologic and histological joint abnormalities. It has been shown that curcumin may dramatically lower the risk of developing arthritis. In addition, the number of white blood cells (WBCs) in the body has dropped, which is a strong indication that curcumin has anti-inflammatory characteristics. A follow-up theoretical investigation of curcumin molecular docking on xanthine oxidase (XO) was carried out after the properties of curcumin were determined using the conductor-like screening model for real solvents (COSMO-RS) theory. Because of the interaction between curcumin and the residues on XO named Ile264, Val259, Asn351, and Leu404, XO may be suppressed by this molecule. Curcumin's anti-inflammatory and antioxidant properties may be responsible for the anti-arthritic effects that have been seen on oxidative stress markers and XO. On the other hand, more research is being conducted to understand its function better in the early stages of rheumatoid arthritis (RA). To determine whether or not curcumin interacts with AR targets, a molecular docking study was conducted using MVD software against TNFRSF11A and cathepsin L.

Knowledge, attitude and prevention practices of garment factory workers regarding the largest Dengue outbreak on record in Bangladesh.

The aim of this cross-sectional study was to assess the knowledge, attitudes and prevention practices (KAP) among the garment factory worker population in Bangladesh regarding a historical dengue outbreak in 2019. A total of 400 participants were selected by simple random sampling, and questionnaire-based interviews were conducted. The average score of knowledge, attitude and prevention practice was 8.33 ± 2.35, 6.32 ± 1.20 and 6.31 ± 1.50, respectively. Only 76 out of 400 participants (19%) scored above 10 (all university-educated). Participant workers reported both negative and positive attitudes regarding dengue fever (DF). Negative attitudes included an expectation of increased mortality and strained family finances from DF attacks. A significantly high number of participants (92%) believed that death from DF was inevitable. Positive attitudes included optimism about DF eradication potentials and eagerness to help and donate blood to sick relatives. Participants primarily learned about the DF prevention from mass media (244/400; 61.0%) and social media (97/400; 24.25%). The most popular prevention measures adopted were mosquito repellent incense (344/400; 86.0%) and mosquito nets (389/400; 97.25%). While most participants (358/400; 89.5%) cleaned areas where mosquitos lay eggs, only 169 out of 400 (42.25%) regularly treated with chemical sprays. Only 182 out of 400 (45.5%) reported receiving DF prevention training in the factory. Correlation between DF knowledge and education was statistically significant (r = .38, p < .01, n = 398). Correlation between DF knowledge and work experience was insignificant (r = .01, p > .01, n = 398). Age and DF knowledge were not correlated (r = 0.07, p > .01, n = 398). In conclusion, gaps in KAP for dengue could be addressed by government-sponsored educational programmes that utilize the power of mass/social media for dengue prevention and control. More KAP surveillance studies are needed for other sectors of the society.

Isolation and molecular characterization of multidrug-resistant Escherichia coli from chicken meat.

Antibiotic-resistant Escherichia coli (E. coli) are common in retail poultry products. In this study, we aimed to isolate and characterize multidrug resistant (MDR) E. coli in raw chicken meat samples collected from poultry shops in Sylhet division, Bangladesh, as well as to determine correlation between resistance phenotype and genotype. A total of 600 chicken meat swabs (divided equally between broiler and layer farms, n = 300 each) were collected and the isolates identified as E. coli (n = 381) were selected. Disc diffusion antimicrobial susceptibility assay showed resistance of these isolates to ampicillin, erythromycin, tetracycline, streptomycin, trimethoprim-sulfamethoxazole, chloramphenicol, and gentamicin. Polymerase chain reaction (PCR) identified several antibiotic resistance genes (ARGs) in our isolates. Among these ARGs, the prevalence of tetA (for tetracycline) was the highest (72.58%) in broiler chicken isolates, followed by sul1 (for sulfonamide; 44.16%), aadA1 (for streptomycin; 33.50%), ereA (for erythromycin; 27.41%), aac-3-IV (for gentamicin; 25.38%), and the two genes cmlA (24.87%) and catA1 (8.63%) for chloramphenicol. On the other hand, the respective prevalence in layer chicken isolates were 82.06%, 47.83%, 35.87%, 35.33%, 23.91%, 19.02%, and 5.43%. Furthermore, 49.23% of the isolates from broiler chicken were MDR, with the presence of multiple antibiotic resistance genes, including 3 (40.11%) and 4 (9.13%) genes. On the other hand, 51.09% of layer chicken E. coli isolates were MDR, with 3, 4 or 5 ARGs detected in 36.41%, 14.13%, and 0.54% of the isolates, respectively. We also found that 12.8% of broiler chicken E. coli isolates and 7.61% of layer chicken isolates carried genes coding for extended-spectrum SHV beta-lactamases. Lastly, we report the presence of the AmpC beta-lactamase producing gene (CITM) in 4.56% and 3.26% of broiler and layer chicken E. coli isolates, respectively. We found significant correlations between most of the antimicrobial resistant phenotypes and genotypes observed among the investigated E. coli isolates. Our findings highlight the need for the prudent use of antimicrobials in chickens to minimize the development of antibiotic-resistant bacterial strains.