Genome-wide association study of therapeutic response to statin drugs in cardiovascular disease.

Cardiovascular disease (CVD) is one of the main causes of death in the world. The increased level of blood cholesterol is significantly correlated to CVD incidents. Statins are a group of drugs that decrease the synthesis of cholesterol in the liver by inhibiting the final enzyme of the pathway named HMG-CoA reductase. Several investigations showed that different patients give different responses to the administration of statin drugs according to their genetic background. In this research study, using Genome-Wide Association Studies (GWAS) data analysis methods, such as the SimpleM statistical approach and genomic connection matrix, we tried to discover the novel candidate SNPs that were involved in response to statin drugs. The investigation was carried out using 3,221 cardiovascular patients' data about genotypes and phenotypes of two important parameters including total cholesterol, and LDL level, in response to statin administration. Functional annotation of nearest genes to candidate SNPs was also carried out by using comprehensive databases and tools such as BioMart-Ensembl, UCSC, NCBI, and WebGestalt software. Our results represented eight novel SNPs (rs10820084, rs4803750, rs10989887, rs1966503, rs17502794, rs10785232, rs484071, rs4785621) significantly associated with statin response in different individual cardiovascular patients for the first time. In addition, the groups of genes that are close to the SNPs were also represented and evaluated in detail. Our results illustrated that some of the genes such as BAAT, BCL3, and CMTM6 have a direct functional impact on cholesterol level or LDL biosynthesis which confirmed the effects of neighbor SNPs on the response to statin drugs. Today, finding the loci, genes, and molecular mechanisms involved in the response to drugs is of great importance in pharmacogenomics and personalized medicine.

Candidate Biomarkers for Targeting in Type 1 Diabetes; A Bioinformatic Analysis of Pancreatic Cell Surface Antigens.

OBJECTIVE: Type 1 diabetes (T1Ds) is an autoimmune disease in which the immune system invades and destroys insulin-producing cells. Nevertheless, at the time of diagnosis, about 30-40% of pancreatic beta cells are healthy and capable of producing insulin. Bi-specific antibodies, chimeric antigen receptor regulatory T cells (CAR-Treg cells), and labeled antibodies could be a new emerging option for the treatment or diagnosis of type I diabetic patients. The aim of the study is to choose appropriate cell surface antigens in the pancreas tissue for generating an antibody for type I diabetic patients. MATERIALS AND METHODS: In this bioinformatics study, we extracted pancreas-specific proteins from two large databases; the Human Protein Atlas (HPA) and Genotype-Tissue Expression (GTEx) Portal. Pancreatic-enriched genes were chosen and narrowed down by Protter software for the investigation of accessible extracellular domains. The immunohistochemistry (IHC) data of the protein atlas database were used to evaluate the protein expression of selected antigens. We explored the function of candidate antigens by using the GeneCards database to evaluate the potential dysfunction or activation/hyperactivation of antigens after antibody binding. RESULTS: The results showed 429 genes are highly expressed in the pancreas tissue. Also, eighteen genes encoded plasma membrane proteins that have high expression in the microarray (GEO) dataset. Our results introduced four structural proteins, including NPHS1, KIRREL2, GP2, and CUZD1, among all seventeen candidate proteins. CONCLUSION: The presented antigens can potentially be used to produce specific pancreatic antibodies that guide CARTreg, bi-specific, or labeling molecules to the pancreas for treatment, detection, or other molecular targeted therapy scopes for type I diabetes.

Development of an ostrich-derived single-chain variable fragment (scFv) against PTPRN extracellular domain.

In type 1 diabetes, the immune system destroys pancreatic beta cells in an autoimmune condition. To overcome this disease, a specific monoclonal antibody that binds to pancreatic beta cells could be used for targeted immunotherapy. Protein tyrosine phosphatase receptor N (PTPRN) is one of the important surface antigen candidates. Due to its high sequence homology among mammals, so far, no single-chain monoclonal antibody has been produced against this receptor. In this study, we developed a novel single-chain variable fragment (scFv) against the PTPRN extracellular domain. To this aim, ostrich species was used as a host is far phylogenetically birds from mammals to construct a phage display library for the first time. An ostrich-derived scfv phage display library was prepared and biopanning steps were done to enrich and screen for isolating the best anti-PTPRN binders. An scFv with appropriate affinity and specificity to the PTPRN extracellular domain was selected and characterized by ELISA, western blotting, and flow cytometry. The anti-PTPRN scFv developed in this study could be introduced as an effective tool that can pave the way for the creation of antibody-based targeting systems in cooperation with the detection and therapy of type I diabetes.

Production and characterization of a camelid single domain anti-CD22 antibody conjugated to DM1.

Antibody drug conjugates (ADCs) with twelve FDA approved drugs, known as a novel category of anti-neoplastic treatment created to merge the monoclonal antibody specificity with cytotoxicity effect of chemotherapy. However, despite many undeniable advantages, ADCs face certain problems, including insufficient internalization after binding, complex structures and large size of full antibodies especially in targeting of solid tumors. Camelid single domain antibody fragments (Nanobody®) offer solutions to this challenge by providing nanoscale size, high solubility and excellent stability, recombinant expression in bacteria, in vivo enhanced tissue penetration, and conjugation advantages. Here, an anti-human CD22 Nanobody was expressed in E.coli cells and conjugated to Mertansine (DM1) as a cytotoxic payload. The anti-CD22 Nanobody was expressed and purified by Ni-NTA resin. DM1 conjugated anti-CD22 Nanobody was generated by conjugation of SMCC-DM1 to Nanobody lysine groups. The conjugates were characterized using SDS-PAGE and Capillary electrophoresis (CE-SDS), RP-HPLC, and MALDI-TOF mass spectrometry. Additionally, flow cytometry analysis and a competition ELISA were carried out for binding evaluation. Finally, cytotoxicity of conjugates on Raji and Jurkat cell lines was assessed. The drug-to-antibody ratio (DAR) of conjugates was calculated 2.04 using UV spectrometry. SDS-PAGE, CE-SDS, HPLC, and mass spectrometry confirmed conjugation of DM1 to the Nanobody. The obtained results showed the anti-CD22 Nanobody cytotoxicity was enhanced almost 80% by conjugation with DM1. The binding of conjugates was similar to the non-conjugated anti-CD22 Nanobody in flow cytometry experiments. Concludingly, this study successfully suggest that the DM1 conjugated anti-CD22 Nanobody can be used as a novel tumor specific drug delivery system.

Site-specific transgene integration in chimeric antigen receptor (CAR) T cell therapies.

Chimeric antigen receptor (CAR) T cells and natural killer (NK) cells are genetically engineered immune cells that can detect target antigens on the surface of target cells and eliminate them following adoptive transfer. Recent progress in CAR-based therapies has led to outstanding clinical success in certain patients with leukemias and lymphomas and offered therapeutic benefits to those resistant to conventional therapies. The universal approach to stable CAR transgene delivery into the T/NK cells is the use of viral particles. Such approaches mediate semi-random transgene insertions spanning the entire genome with a high preference for integration into sites surrounding highly-expressed genes and active loci. Regardless of the variable CAR expression level based on the integration site of the CAR transgene, foreign integrated DNA fragments may affect the neighboring endogenous genes and chromatin structure and potentially change a transduced T/NK cell behavior and function or even favor cellular transformation. In contrast, site-specific integration of CAR constructs using recent genome-editing technologies could overcome the limitations and disadvantages of universal random gene integration. Herein, we explain random and site-specific integration of CAR transgenes in CAR-T/NK cell therapies. Also, we tend to summarize the methods for site-specific integration as well as the clinical outcomes of certain gene disruptions or enhancements due to CAR transgene integration. Also, the advantages and limitations of using site-specific integration methods are discussed in this review. Ultimately, we will introduce the genomic safe harbor (GSH) standards and suggest some appropriate safety prospects for CAR integration in CAR-T/NK cell therapies.

Strategies to overcome the side effects of chimeric antigen receptor T cell therapy.

Chimeric antigen receptor (CAR) therapy is a method directing T lymphocytes against antigens on the surface of tumors, increasing target cell elimination. Genetic engineering enhances the capability of immune cells to detect new antigens expressed on cell surfaces. CAR T cell therapy is a significant breakthrough for treating human malignancies; however, different side effects (e.g., cytokine release syndrome) restrict its application. Improving design and using various combined receptors enhance the performance of these cells. This review discusses limitations and risk factors associated with CAR T cell therapy. We also review some alternative approaches for developing the next generation of CAR T cells.

Up-Regulation of Hsa-miR-11181 in Glioblastoma Multiforme as A Regulator of AKT2 and TGFBR1 Signalling.

OBJECTIVE: MicroRNAs (miRNAs) are short non-coding RNAs that play a role in post-transcriptional regulation of gene expression. Hsa-miR-11181 was originally introduced as a regulator of genes involved in some brain tumours. Due to the high expression of Hsa-miR-11181 in limited glioblastoma brain tumours, in this study we intend to assess the expressions of Hsa-miR-11181 and Has-miR11181-3p in brain tumour tissues and attribute new target genes to these miRNAs. MATERIALS AND METHODS: In this experimental study, total RNA from brain tissue samples was extracted for real-time quantitative polymerase chain reaction (RT-qPCR) analysis after cDNA synthesis. In order to confirm a direct interaction of Hsa-miR-11181 with two target genes, the 3' UTR of AKT2 and transforming growth factor-beta receptor 1 (TGFBR1) were cloned separately for assessment by the dual luciferase assay. RESULTS: RT-qPCR analysis indicated that both Hsa-miR-11181-5p and Has-miR11181-3p specifically up-regulated in higher grades of glioma tumours versus other brain tumour types. Consistently, lower expression levels of AKT2 and TGFBR1 were detected in higher grade gliomas compared to other types of brain tumours, which was inverse to the level of expression detected for the heparin-binding EGF-like growth factor (HBEGF) gene. The results of the dual luciferase assay supported a direct interaction of Hsa-miR-11181 with the 3' UTR sequences of the AKT2 and TGFBR1 genes. CONCLUSION: Overall, our data suggest that miR-1118 is a potential molecular biomarker for discrimination of glioma brain tumours from other brain tumour types.

TGF-ß and WNT signaling pathways in cardiac fibrosis: non-coding RNAs come into focus.

Cardiac fibrosis describes the inappropriate proliferation of cardiac fibroblasts (CFs), leading to accumulation of extracellular matrix (ECM) proteins in the cardiac muscle, which is found in many pathophysiological heart conditions. A range of molecular components and cellular pathways, have been implicated in its pathogenesis. In this review, we focus on the TGF-ß and WNT signaling pathways, and their mutual interaction, which have emerged as important factors involved in cardiac pathophysiology. The molecular and cellular processes involved in the initiation and progression of cardiac fibrosis are summarized. We focus on TGF-ß and WNT signaling in cardiac fibrosis, ECM production, and myofibroblast transformation. Non-coding RNAs (ncRNAs) are one of the main players in the regulation of multiple pathways and cellular processes. MicroRNAs, long non-coding RNAs, and circular long non-coding RNAs can all interact with the TGF-ß/WNT signaling axis to affect cardiac fibrosis. A better understanding of these processes may lead to new approaches for diagnosis and treatment of many cardiac conditions. Video Abstract.