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Abstract Background As an in vitro model porcine peripheral blood mononuclear cells (PBMCs) is frequently used as for immunogenetic research with the stimulation of bacterial antigens. To investigate the immunocompetence of PBMCs for recognition of Gram-positive and Gram-negative bacteria and in order to dissect the pathogenesis of diseases, gene expression assay is most commonly used. The gene expressions are required to normalize for reference genes which have tremendous effect on the results of expression study. The reference genes should be stably expressed between different cells under a variety of experimental conditions, but recent influx of data showed that expression stability of reference genes are varied under different experimental conditions. But data regarding the expression stability of reference genes in porcine PBMCs are limited. Therefore, this study was aimed to know whether the expression stability of commonly used reference genes in PBMCs is affected by various bacterial antigens under different experimental conditions in pigs. Results The mRNA expression stability of nine commonly used reference genes (B2M, BLM, GAPDH, HPRT1, PPIA, RPL4, SDHA, TBP and YWHAZ) was determined by RT-qPCR in PBMCs that were stimulated by LPS and LTA in vitro as well as cells un-stimulated control and non-cultured were also consider for this experiment. mRNA expression levels of all genes were found to be affected by the type of stimulation and duration of the stimulation (P Conclusion There was discrepancy in the ranking order of reference genes obtained by different analysing algorithms (geNorm and NormFinder). In conclusion, the geometric mean of the RPL4, B2M and PPIA seemed to be the most appropriate combination of reference genes for accurate normalization of gene expression data in porcine PBMCs without knowing the type of bacterial pathogenic status of the animals and in the case of mixed infection with Gram-negative and Gram-positive bacteria. In case of PBMCs without any stimulation, PPIA, BLM and GAPDH could be suggested as suitable reference genes.

Streptococcus pneumoniae (SPN) is a significant pathogen causing pneumonia and meningitis, particularly in vulnerable populations like children and the elderly. Available pneumonia vaccines have limitations since they only cover particular serotypes and have high production costs. The emergence of antibiotic-resistant SPN strains further underscores the need for a new, cost-effective, broad-spectrum vaccine. Two potential vaccine candidates, CbpA and PspA, were identified, and their B-cell, CTL, and HTL epitopes were predicted and connected with suitable linkers, adjivant and PADRE sequence. The vaccine construct was found to be antigenic, non-toxic, non-allergenic, and soluble. The three-dimensional structure of the vaccine candidate was built and validated. Docking analysis of the vaccine candidate by ClusPro demonstrated robust and stable binding interactions between the MEV and toll-like receptor 4 in both humans and animals. The iMOD server and Amber v.22 tool has verified the stability of the docking complexes. GenScript server confirmed the high efficiency of cloning for the construct and in-silico cloning into the pET28a (+) vector using SnapGene, demonstrating successful translation of the epitope region. Immunological responses were shown to be enhanced by the C-IMMSIM server. This study introduced a strong peptide vaccine candidate that has the potential to contribute to the development of a rapid and cost-effective solution for combating SPN. However, experimental verification is necessary to evaluate the vaccine's effectiveness. [ABSTRACT FROM AUTHOR]

Background This study aimed to characterise the clinical and epidemiological profiles of dengue patients and their outcomes during an ongoing outbreak in a non-endemic region of Bangladesh. Methods This prospective observational study analysed 805 confirmed dengue cases during August–December 2023. Data on demographic, clinical and laboratory profiles, as well as outcomes, were gathered using a structured questionnaire. Statistical analysis was conducted using SPSS 25. Results The mean age of dengue patients was 31.5 (±12.2) y, with the majority being males (81.2%). All 805 patients experienced fever, 792 (98.4%) had headaches, 698 (86.7%) had myalgia, 601 (74.7%) had persistent vomiting and 598 (74.3%) had abdominal pain. Bleeding was observed in 191 (23.7%) patients and neurological symptoms were seen in 209 (25.9%) patients. Most patients (n=781, 97%) exhibited non-severe symptoms, while 3% (n=24) had severe symptoms. Among the 24 severe cases, four (16.7%) patients were reported to have encephalitis and one (4.2%) patient had meningoencephalitis. Moreover, 365 patients (45.3%) had travelled to an endemic region who were predominantly males (n=327, 89.6%). Most dengue patients recovered well with rapid fluid replacement therapy (n=754, 93.7%). Conclusions The 2023 dengue outbreak in a non-endemic area of Bangladesh primarily impacted males, young adults, with the majority presenting non-severe symptoms. Further studies are essential to validate and build upon these results. [ABSTRACT FROM AUTHOR]

To achieve the coveted objectives of sustainable development, the Bangladesh government has devised a comprehensive strategy to promote the adoption of innovative agricultural practices capable of addressing the critical challenges at the intersection of food, energy, water, and ecosystems (FEWE). This plan prioritises the increased uptake of solar irrigation and recommended fertiliser application (SIRFA) technologies to enhance sustainable food production while effectively managing energy and water resources, and fostering ecological balance. Thus, this study analysed seven years of panel data (2015-2021) to assess the long-term impact of SIRFA technology adoption on production costs (PC) and return on investment (ROI) among Bangladeshi farmers cultivating the BRRI-dhan29 rice variety in the water--scarce, acidic soils of Dinajpur. Utilising the generalised estimating equation (GEE) with a population-averaged model, we investigated the determinants of adoption. Additionally, we applied a two-stage residual inclusion (2SRI) method alongside six linear panel-data models to analyse the impact of SIRFA adoption. Our findings revealed that adopters experienced reduced production costs and enhanced ROI through SIRFA technology adoption. These results emphasised the urgent need for region-specific policy interventions to facilitate the broader adoption of SIRFA technologies. [ABSTRACT FROM AUTHOR]

This study examines the Job facilities and the factors affecting employee satisfaction levels and how significantly they are correlated to each other. In the world of business research, one of the vital challenges is employee commitment toward the company. According to research, employee dedication and performance are strongly correlated with employee contentment. That is why employers and researchers are constantly looking for explanations for employee happiness. Several aspects affect employee satisfaction, some of which are obvious while others are not. This study explores how certain financial and non-financial variables relate to employee contentment. The survey has been done by a Likert scale questionnaire on a total of 200 employees from 10 Insurance companies in Bangladesh. According to this empirical study, a few non-financial variables, except salary, have a substantial relationship with employee satisfaction. [ABSTRACT FROM AUTHOR]