A Review of the Therapeutic Targeting of SCN9A and Nav1.7 for Pain Relief in Current Human Clinical Trials.

Introduction: There is a great need to find alternative treatments for chronic pain which have become a healthcare problem. We discuss current therapeutic targeting Nav1.7. Areas Covered: Nav1.7 is a sodium ion channel protein that is associated with several human pain genetic syndromes. It has been found that mutations associated with Nav1.7 lead to the loss of the ability to perceive pain in individuals that are otherwise normal. Several therapeutic interventions are presently undergoing preclinical and research using the methodology of damping Nav1.7 expressions as a methodology to decrease the sensation of pain leading to analgesia. Expert Opinion: It is our strong belief that there is a viable future in the targeting of protein of Nav1.7 for the relief of chronic pain in humans. The review will look at the genomics associated with SCN1A and proteomic of Nav1.7 as a foundation to explain the mechanism of the therapeutic interventions targeting Nav1.7, the human disease that are associated with Nav1.7, and the current development of treatment for chronic pain whether in preclinical or clinical trials targeting Nav1.7 expressions. The development of therapeutic antagonists targeting Nav1.7 could be a viable alternative to the current treatments which have led to the opioid crisis. Therefore, Nav1.7 targeted treatment has a major clinical significance that will have positive consequences as it relates to chronic pain interventions.

Targeted immune epitope prediction to HHLA2 and MAGEB5 protein variants as therapeutic approach to related viral diseases.

BACKGROUND: Targeted immunotherapy is mostly associated with cancer treatment wherein designed molecules engage signaling pathways and mutant proteins critical to the survival of the cell. One of several genetic approaches is the use of in silico methods to develop immune epitopes targeting specific antigenic regions on related mutant proteins. In a recent study we showed a functional association between the gamma retrovirus HERV-H Long Terminal Associating (HHLA1, HHLA2 and HHLA3) proteins and melanoma associated antigen of the B class proteins (MAGEB5), with a resultant decrease in expression of HLA class I and II immune variants. HLA-C and HLA-DRB5 were the main HLA class I and II Immune variants, respectively, that showed expression changes across viral samples of interest. Specific immune variants for HLA-C and HLA-DRB5 were filtered for the top ten based on their relative frequency of counts across the samples. RESULTS: Protein variants for HHLA1, HHLA2, HHLA3 and MAGEB5 were used to predict antigenic epitope peptides to immune peptide-MHC class I and II binding using artificial neural networks. For IC50 peptide scores (PS) ≥ 0.5 with a transformed binding ability between 0 and 1, the top 5 epitopes identified for all targeted genes HHLA1,2 & 3 and MAGEB5 were qualified as strong or weak binders according to the threshold. Domain analysis using NCBI Conserved Domain Database (CDD) identified HHLA2 with immunoglobulin-like domains (Ig_C1-set) and MAGEB5 with the MAGE Homology Domain (MHD). Linear regression showed a statistical correlation (P < 0.001) for HHLA2 and MAGEB5 predicted epitope peptides to HLA-C but not HLA-DRB5. The prediction model identified HLA-C variant 9 (HLA-C9, BAA08825.1 HLA-B*1511) at 1.1% as the most valuable immune target for clinical considerations. Identification of the 9-mer epitope peptide within the domain showed for HHLA2: YANRTSLFY (PS = 0.5837) and VLAYYLSSSQNTIIN (PS = 0.77) for HLA-C and HLA-DRB5, respectively and for MAGEB5, peptides: FVRLTYLEY (PS = 0.5293) and YPAHYQFLWGPRAYT (PS = 0.62) for HLA-C and HLA-DRB5, respectively. CONCLUSION: Specific immune responses to targeted epitope peptides and their prediction models, suggested co-expression and co-evolution for HHLA2 and MAGEB5 in viral related diseases. HHLA2 and MAGEB5 could be considered markers for virus related tumors and targeted therapy for oncogenic diseases.

The evolutionary significance of certain amino acid substitutions and their consequences for HIV-1 immunogenicity toward HLA's A*0201 and B*27.

In silico tools are employed to examine the evolutionary relationship to possible vaccine peptide candidates' development. This perspective sheds light on the proteomic changes affecting the creation of HLA specific T-cell stimulating peptide vaccines for HIV. Full-length sequences of the envelope protein of the HIV subtypes A, B, C and D were obtained through the NCBI Protein database were aligned using CLUSTALW. They were then analyzed using RANKPEP specific to Human Leukocyte Antigen A*02 and B*27. Geneious was used to catalogue the collected gp160 sequences and to construct a phylogenic tree. Mesquite was employed for ancestral state reconstruction to infer the order of amino acid substitutions in the epitopes examined. The results showed that consensus peptide identified SLAEKNITI had changes that indicated predicted escape mutation in strains of HIV responding to pressure exerted by CD8+ cells expressing HLA A*02. The predominating 9-mers IRIGPGQAF of gp120 are significantly less immunogenic toward HLA B*27 than to HLA A*02. The data confirms previous findings on the importance for efficacious binding, of an arginine residue at the 2(nd) position of the gag SL9 epitope, and extends this principle to other epitopes which interacts with HLA B*27. This study shows that the understanding of viral evolution relating T-cell peptide vaccine design is a development that has much relevance for the creation of personalized therapeutics for HIV treatment.

Challenges in the use of in silico tools for predicting peptides binding to HLA-class II molecules of HCV E1, E2, and P7.

The application of in silico tools for the development of T-cell vaccines is crucial. Yet, due to myriad of polymorphisms of human T-lymphocytic antigen challenges, such therapeutic opportunities present unique roadblocks. There is an obvious advantage in using immunoinformatics (i.e., significantly decreasing cost related to laboratory expenses). A previous publication looked at random binding and nonbinding peptides in order to test the practicality of using such in silico tools to obtain possible immunogenic peptides. The present in silico study applied the same basic approaches to an applicable problem that was to identify promiscuous peptide vaccine candidates for hepatitis C virus (HCV) infection. The data sets used, included the proteins HCV E1, E2 and P7 as the binders (non-self antigens) and the GAD65 and ICA69, which have an association with diabetes, as non-binders (self-antigens). The in silico tools utilized were ProPred, MHC2PRED, and RANKPEP. The resulting differences were identifiable in each of the statistical parameters examined. Variations in the outcomes were evident by the dissimilarities found among the major indices of evaluation Sensitivity, Specificity, Accuracy, Positive Predictive Value (PPV), Negative Predictive Value (NPV) and Matthews's correlation coefficient (MCC) of the percentages of the predicted promiscuous peptides to HLA-DRB1*0101, *0301, and *0401. The conclusion from this study indicates that more work needs to be done in order to enhance the predictability of programs for the identification of peptide vaccine candidates for HCV. Such programs should not be solely relied upon without in vitro assay verification.

Evolutionary analysis of human vascular endothelial growth factor, angiopoietin, and tyrosine endothelial kinase involved in angiogenesis and immunity.

Human vascular endothelial growth factor (VEGF), angiopoietin (ANG) and tyrosine kinase with immunoglobulin and epidermal growth factor homology domains (TIE)-2 consist of a grouping of proteins that are involved in vascular homeostasis, vascular integrity and angiogenesis. There are nine proteins in the immediate VEGF family: VEGFA, VEGFB, VEGFC, VEGFD, VEGF-3, placental growth factor (PGF), VEGF receptor (VEGFR)-1, VEGFR-2, and VEGFR-1-related. They can be stimulated by cytokines to become involved in immune responses. By using in silico tools, we were able to identify several possible analogues or homologues of VEGF, ANG and TIE-2 in invertebrates. This is the first report to show that these proteins may be conserved through evolution. These proteins may have a role in vascular maintenance and immunity. In addition, since VEGF, ANG and TIE-2 have a role in mammalian immunity that is significantly influenced by cytokines, such as IL-1, this may indicate an interaction of the vascular system and the immune system over evolutionary time.