The present research study was design to investigate the factors affecting academic performance of graduate students of Islamia University of Bahawalpur Rahim Yar Khan Campus. The variables under consideration were the academic performance (studentâs grades/marks) as a dependent variable and the gender, age, faculty of study, schooling, father/guardian social economic status, and residential area, medium of schooling; tuition trend, daily study hours and accommodation trend were independent variables. The data were collected from 100 students through separate structured questionnaire from different departments of Islamia University of Bahawalpur, Rahim Yar Khan Campus using the simple random sampling technique. For analysis, linear regression model, correlation analysis, and descriptive analysis were used. The findings revealed that age, father/guardian social economic status and daily study hours significantly contribute the academic performance of graduate students. A linear model was also proposed that will be helpful to improve the academic performance of graduate students at University level.
Pancreatic cancer (PC) is predominantly incurable and is primarily treated with gemcitabine, but drug resistance commonly develops. Thus, new medicines are needed. Ceritinib (LDK378) is a second-generation tyrosine kinase inhibitor of anaplastic lymphoma kinase (ALK) with antitumor activity in various cancers. However, studies involving ceritinib for the treatment of PC are inadequate. We analyzed the combined effects of ceritinib and gemcitabine on PC and their mechanism of action. Three PC cell lines were used to evaluate the antitumor effects of ceritinib combined with gemcitabine. We analyzed cell viability using CCK-8 assays, determined apoptosis levels through flow cytometry, and analyzed autophagy and cell signaling pathways by Western blotting and tissue array analysis with samples from xenograft models. Ceritinib strongly inhibited the proliferation of PC cells in a dose-dependent manner, induced apoptosis, and inhibited autophagy and cell migration by regulating relevant factors. Ceritinib in combination with gemcitabine exhibited significant growth inhibition and additive antitumor effects in vitro. In vivo, gemcitabine and ceritinib reduced tumor size by up to 30%. In our study, ALK was shown to be highly expressed in various PC cells and tissues. Ceritinib strongly inhibited the levels of activated ALK in PC cells with subsequent effects on the downstream mediators STAT3, AKT, and ERK. In addition, ceritinib inhibited tumor progression in xenograft models. Overall, our research shows that ceritinib inhibits the ALK signaling pathway, leading to cell growth/angiogenesis inhibition in PC and the induction of apoptosis. We recommend using ceritinib as a new treatment for PC.NEW & NOTEWORTHY These data proved that ceritinib inhibits the anaplastic lymphoma kinase signaling pathway, leading to cell growth/angiogenesis inhibition and the induction of apoptosis by inhibiting STAT3, AKT, and ERK pathway in pancreatic cancer (PC). We recommend using ceritinib as a new treatment for PC.
Abstract Background Type 2 diabetes mellitus (T2DM) is a worldwide disease that have an impact on individuals of all ages causing micro and macro vascular impairments due to hyperglycemic internal environment. For ultimate treatment to cure T2DM, association of diabetes with immune components provides a strong basis for immunotherapies and vaccines developments that could stimulate the immune cells to minimize the insulin resistance and initiate gluconeogenesis through an insulin independent route. Methodology Immunoinformatics based approach was used to design a polyvalent vaccine for T2DM that involved data accession, antigenicity analysis, T-cell epitopes prediction, conservation and proteasomal evaluation, functional annotation, interactomic and in silico binding affinity analysis. Results We found the binding affinity of antigenic peptides with major histocompatibility complex (MHC) Class-I molecules for immune activation to control T2DM. We found 13-epitopes of 9 amino acid residues for multiple alleles of MHC class-I bears significant binding affinity. The downstream signaling resulted by T-cell activation is directly regulated by the molecular weight, amino acid properties and affinity of these epitopes. Each epitope has important percentile rank with significant ANN IC 50 values. These high score potential epitopes were linked using AAY, EAAAK linkers and HBHA adjuvant to generate T-cell polyvalent vaccine with a molecular weight of 35.6 kDa containing 322 amino acids residues. In silico analysis of polyvalent construct showed the significant binding affinity (− 15.34 Kcal/mol) with MHC Class-I. This interaction would help to understand our hypothesis, potential activation of T-cells and stimulatory factor of cytokines and GLUT1 receptors. Conclusion Our system-level immunoinformatics approach is suitable for designing potential polyvalent therapeutic vaccine candidates for T2DM by reducing hyperglycemia and enhancing metabolic activities through the immune system.
Background. Respiratory syncytial virus (RSV) infection is a public health epidemic, leading to around 3 million hospitalization and about 66,000 deaths each year. It is a life-threatening condition exclusive to children with no effective treatment. Methods. In this study, we used system-level and vaccinomics approaches to design a polyvalent vaccine for RSV, which could stimulate the immune components of the host to manage this infection. Our framework involves data accession, antigenicity and subcellular localization analysis, T cell epitope prediction, proteasomal and conservancy evaluation, host-pathogen-protein interactions, pathway studies, and in silico binding affinity analysis. Results. We found glycoprotein (G), fusion protein (F), and small hydrophobic protein (SH) of RSV as potential vaccine candidates. Of these proteins (G, F, and SH), we found 9 epitopes for multiple alleles of MHC classes I and II bear significant binding affinity. These potential epitopes were linked to form a polyvalent construct using AAY, GPGPG linkers, and cholera toxin B adjuvant at N-terminal with a 23.9 kDa molecular weight of 224 amino acid residues. The final construct was a stable, immunogenic, and nonallergenic protein containing cleavage sites, TAP transport efficiency, posttranslation shifts, and CTL epitopes. The molecular docking indicated the optimum binding affinity of RSV polyvalent construct with MHC molecules (-12.49 and -10.48 kcal/mol for MHC classes I and II, respectively). This interaction showed that a polyvalent construct could manage and control this disease. Conclusion. Our vaccinomics and system-level investigation could be appropriate to trigger the host immune system to prevent RSV infection.
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