No abstract

Hepatitis B virus (HBV) is a global virus responsible for a universal disease burden for millions of people. Various vaccination strategies have been developed using viral vector, nucleic acid, protein, peptide, and virus-like particles (VLPs) to stimulate favorable immune responses against HBV. Given the pivotal role of specific immune responses of hepatitis B surface antigen (HBsAg) and hepatitis B core antigen (HBcAg) in infection control, we designed a VLP-based vaccine by placing the antibody-binding fragments of HBsAg in the major immunodominant region (MIR) epitope of HBcAg to stimulate multilateral immunity. A computational approach was employed to predict and evaluate the conservation, antigenicity, allergenicity, and immunogenicity of the construct. Modeling and molecular dynamics (MD) demonstrated the folding stability of HBcAg as a carrier in inserting Myrcludex and "a" determinant of HBsAg. Regions 1-50 and 118-150 of HBsAg were considered to have the highest stability to be involved in the designed vaccine. Molecular docking revealed appropriate interactions between the B cell epitope of the designed vaccine and the antibodies. Totally, the final construct was promising for inducing humoral and cellular responses against HBV.

One of the most important challenges in the battle against contagious SARS-CoV-2 is subtle identification of the virus pathogenesis. The broad range of COVID-19 clinical manifestations may indicate diversity of virus-host cells. Amongst key manifestations, especially in severe COVID-19 patients, reduction and/or exhaustion of lymphocytes, monocytes, basophils, and dendritic cells are seen.; therefore, it is required to recognize that how the virus infects the cells. Interestingly, angiotensin-converting enzyme 2 (ACE2) as the well-known receptor of SARS-CoV-2 is low or non-expressed in these cells. Using computational approach, several receptor candidates including leukocyte surface molecules and chemokine receptors that expressed in most lineages of immune cells were evaluated as the feasible receptor of spike receptor-binding domain (RBD) of SARS-CoV-2. The results revealed the higher binding affinity of CD26, CD2, CD56, CD7, CCR9, CD150, CD4, CD50, XCR1 and CD106 compared to ACE2. However, the modes of binding and amino acids involved in the interactions with the RBD domain of spike were various. Overall, the affinity of immune receptor candidates in binding to SARS-CoV-2 RBD may offer insight into the recognition of novel therapeutic targets in association with COVID-19.

Background:: Prostate Stem Cell Antigen (PSCA) is a small cell surface protein, overexpressed in 90% of prostate cancers. Determination of epitopes that elicit an appropriate response to the antibody generation is vital for diagnostic and immunotherapeutic purposes for prostate cancer treatment. Presently, bioinformatics B-cell prediction tools can predict the location of epitopes, which is uncomplicated, faster, and more cost-effective than experimental methods. Objective:: We aimed to predict a novel linear peptide for Prostate Stem Cell Antigen (PSCA) protein in order to generate anti-PSCA-peptide (p) antibody and to investigate its effect on prostate cancer cells. Methods:: In the current study, novel linear peptide for PSCA was predicted using in silico methods that utilize a set of linear B-cell epitope prediction tools. Polyclonal antibody (anti-PSCA-p antibody “Patent No. 99318”) against PSCA peptide was generated. The antibody reactivity was determined by the Enzyme-Linked Immunosorbent Assay (ELISA) and its specificity by the Immunocytochemistry (ICC), Immunohistochemistry (IHC), and Western Blotting (WB) assays. The effect of anti-PSCA-p antibody on PSCA-expressing prostate cancer cell line was assessed by Methylthiazolyldiphenyl-Tetrazolium bromide (MTT) assay. Results:: New peptide-fragment of PSCA sequence as “N-CVDDSQDYYVGKKN-C” (PSCA-p) was selected and synthesized. The anti-PSCA-p antibody against the PSCA-p showed immunoreactivity with PSCA-p specifically bound to PC-3 cells. Also, the anti-PSCA-p antibody strongly stained the prostate cancer tissues as compared to Benign Prostatic Hyperplasia (BPH) and normal tissues (P < 0.001). As the degree of malignancy increased, the staining intensity was also elevated in prostate cancer tissue (P < 0.001). Interestingly, anti-PSCA-p antibody showed anti-proliferative effects on PC-3 cells (31%) with no growth inhibition effect on PSCA-negative cells. Conclusion:: In this study, we developed a new peptide sequence (PSCA-p) of PSCA. The PSCA-p targeting by anti-PSCA-p antibody inhibited the proliferation of prostate cancer cells suggesting PSCA-p immunotherapy potential for future prostate cancer studies.