GSK3ß phosphorylates Six1 transcription factor and regulates its APC/CCdh1 mediated proteosomal degradation.

Sine oculis homeobox homolog 1 (Six1) is a developmentally important transcription factor that regulates cellular proliferation, apoptosis, and dissemination during embryogenesis. Six1 overexpression as reported in multiple cancers modulates expression of a repertoire of its target genes causing an increase in proliferation, metastasis and survival of cancer cells. Six1 exists as a cell cycle regulated nuclear phosphoprotein and its cellular turnover is regulated by APC/C (Anaphase promoting complex / Cyclosome) complex mediated proteolysis. However, the kinases that regulate Six1 proteolysis have not been identified and the mechanistic details that cause its overproduction in various cancers are lacking. Here, we report that Six1 is a physiological GSK3ß substrate. GSK3ß interacts with Six1 and phosphorylates it at Ser221 within the conserved consensus sequence in its carboxy terminus. Using pharmacological inhibition, siRNA mediated knockdown and protein overexpression of GSK3ß; we show that GSK3ß regulates Six1 protein stability. Pulse chase analysis of Six1 revealed that GSK3ß regulates its ubiquitin proteolysis such that Six1 phosphomimicking mutant (Six1S221E) for Ser221 site had dramatically increased half-life than its phosphodeficient (Six1S221A) and wild type variants. Furthermore, we demonstrate that GSK3ß rescues Six1 from APC dependent proteolysis by regulating its binding with APC/C co-activator protein Cdh1. Importantly, strong positive correlation exists between GSK3ß and Six1 protein levels throughout the cell cycle and in multiple cancers indicating that GSK3ß activation may in part contribute to Six1 overproduction in a subset of human cancers.

An Investigation of the Antiviral Potential of Phytocompounds against Avian Infectious Bronchitis Virus through Template-Based Molecular Docking and Molecular Dynamics Simulation Analysis.

Vaccination is widely used to control Infectious Bronchitis in poultry; however, the limited cross-protection and safety issues associated with these vaccines can lead to vaccination failures. Keeping these limitations in mind, the current study explored the antiviral potential of phytocompounds against the Infectious Bronchitis virus using in silico approaches. A total of 1300 phytocompounds derived from fourteen botanicals were screened for their potential ability to inhibit the main protease, papain-like protease or RNA-dependent RNA-polymerase of the virus. The study identified Methyl Rosmarinate, Cianidanol, Royleanone, and 6,7-Dehydroroyleanone as dual-target inhibitors against any two of the key proteins. At the same time, 7-alpha-Acetoxyroyleanone from Rosmarinus officinalis was found to be a multi-target protein inhibitor against all three proteins. The potential multi-target inhibitor was subjected to molecular dynamics simulations to assess the stability of the protein-ligand complexes along with the corresponding reference ligands. The findings specified stable interactions of 7-alpha-Acetoxyroyleanone with the protein targets. The results based on the in silico study indicate that the phytocompounds can potentially inhibit the essential proteins of the Infectious Bronchitis virus; however, in vitro and in vivo studies are required for validation. Nevertheless, this study is a significant step in exploring the use of botanicals in feed to control Infectious Bronchitis infections in poultry.

Combination of Caffeic Acid Phenethyl Ester and Crocin Realign Potential Molecular Markers in U87-MG Glioma Cells.

Background: Glial tumors are the most common primary malignant central nervous system tumors. They are hard to treat, not only because of the deregulation in multiple pathways but also because they are not contained in a well-defined mass with clear borders. The use of a single therapeutic agent to target gliomas has yielded unsatisfactory results. Objective: A combination of molecules targeting multiple pathways may prove to be a better alternative. Methods: The effect of caffeic acid phenethyl ester and crocin on the proliferation and death of U87-MG cells over a concentration range was analyzed using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide and lactate dehydrogenase assays. A colony formation assay was used to measure the effect of caffeic acid phenethyl ester and crocin on contact inhibition and anchorage independence ability of U87-MG cells. Furthermore, apoptosis in U87-MG cells was analyzed by propidium iodide assay. Real-time polymerase chain reaction and Western blotting were performed to determine the expression level of p53, epidermal growth factor receptor, and proliferating cell nuclear antigen. Results: Caffeic acid phenethyl ester and crocin when used in combination present an anticancer potential for glioma. These molecules, in combination, inhibit proliferation and induce apoptosis in U87-MG glioma cells. Our results provide evidence that combination treatment realigns the expression paradigm of p53, epidermal growth factor receptor, and proliferating cell nuclear antigen in cotreated U87-MG cells. Conclusions: The combination of caffeic acid phenethyl ester and crocin led to inhibition in glioma cell proliferation and might prove to be an effective adjunct to the therapies in vogue.

Scavenger receptor B1 facilitates the endocytosis of Escherichia coli via TLR4 signaling in mammary gland infection.

SCARB1 belongs to class B of Scavenger receptors (SRs) that are known to be involved in binding and endocytosis of various pathogens. SRs have emerging role in regulating innate immunity and host-pathogen interactions by acting in co-ordination with Toll-like receptors.Query Little is known about the function of SCARB1 in milk-derived mammary epithelial cells (MECs). This study reports the role of SCARB1 in infection and its potential association in TLR4 signaling on bacterial challenge in Goat mammary epithelial cells (GMECs). The novelty in the establishment of MEC culture lies in the method that aims to enhance the viability of the cells with intact characteristics upto a higher passage number. We represent MEC culture to be used as a potential infection model for deeper understanding of animal physiology especially around the mammary gland. On E.coli challenge the expression of SCARB1 was significant in induced GMECs at 6 h. Endoribonuclease-esiRNA based silencing of SCARB1 affects the expression of TLR4 and its pathways i.e. MyD88 and TRIF pathways on infection. Knockdown also affected the endocytosis of E.coli in GMECs demonstrating that E.coli uses SCARB1 function to gain entry in cells. Furthermore, we predict 3 unique protein structures of uncharacterized SCARB1 (Capra hircus) protein. Overall, we highlight SCARB1 as a main participant in host defence and its function in antibacterial advances to check mammary gland infections. Video Abstract.

Machine Learning Techniques for the Prediction of B-Cell and T-Cell Epitopes as Potential Vaccine Targets with a Specific Focus on SARS-CoV-2 Pathogen: A Review.

The only part of an antigen (a protein molecule found on the surface of a pathogen) that is composed of epitopes specific to T and B cells is recognized by the human immune system (HIS). Identification of epitopes is considered critical for designing an epitope-based peptide vaccine (EBPV). Although there are a number of vaccine types, EBPVs have received less attention thus far. It is important to mention that EBPVs have a great deal of untapped potential for boosting vaccination safety-they are less expensive and take a short time to produce. Thus, in order to quickly contain global pandemics such as the ongoing outbreak of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), as well as epidemics and endemics, EBPVs are considered promising vaccine types. The high mutation rate of SARS-CoV-2 has posed a great challenge to public health worldwide because either the composition of existing vaccines has to be changed or a new vaccine has to be developed to protect against its different variants. In such scenarios, time being the critical factor, EBPVs can be a promising alternative. To design an effective and viable EBPV against different strains of a pathogen, it is important to identify the putative T- and B-cell epitopes. Using the wet-lab experimental approach to identify these epitopes is time-consuming and costly because the experimental screening of a vast number of potential epitope candidates is required. Fortunately, various available machine learning (ML)-based prediction methods have reduced the burden related to the epitope mapping process by decreasing the potential epitope candidate list for experimental trials. Moreover, these methods are also cost-effective, scalable, and fast. This paper presents a systematic review of various state-of-the-art and relevant ML-based methods and tools for predicting T- and B-cell epitopes. Special emphasis is placed on highlighting and analyzing various models for predicting epitopes of SARS-CoV-2, the causative agent of COVID-19. Based on the various methods and tools discussed, future research directions for epitope prediction are presented.

Scavenger receptors in host defense: from functional aspects to mode of action.

Scavenger receptors belong to a superfamily of proteins that are structurally heterogeneous and encompass the miscellaneous group of transmembrane proteins and soluble secretory extracellular domain. They are functionally diverse as they are involved in various disorders and biological pathways and their major function in innate immunity and homeostasis. Numerous scavenger receptors have been discovered so far and are apportioned in various classes (A-L). Scavenger receptors are documented as pattern recognition receptors and known to act in coordination with other co-receptors such as Toll-like receptors in generating the immune responses against a repertoire of ligands such as microbial pathogens, non-self, intracellular and modified self-molecules through various diverse mechanisms like adhesion, endocytosis and phagocytosis etc. Unlike, most of the scavenger receptors discussed below have both membrane and soluble forms that participate in scavenging; the role of a potential scavenging receptor Angiotensin-Converting Enzyme-2 has also been discussed whereby only its soluble form might participate in preventing the pathogen entry and replication, unlike its membrane-bound form. This review majorly gives an insight on the functional aspect of scavenger receptors in host defence and describes their mode of action extensively in various immune pathways involved with each receptor type. Video abstract.

A multiepitope vaccine candidate against infectious bursal disease virus using immunoinformatics-based reverse vaccinology approach.

Infectious bursal disease virus is the causative agent of infectious bursal disease (Gumboro disease), a highly contagious immunosuppressive disease of chicken with a substantial economic impact on small- and large-scale poultry industries worldwide. Currently, live attenuated vaccines are widely used to control the disease in chickens despite their issues with safety (immunosuppression and bursal atrophy) and efficiency (breaking through the maternally-derived antibody titer). To overcome the drawbacks, the current study has, for the first time, attempted to construct a computational model of a multiepitope based vaccine candidate against infectious bursal disease virus, which has the potential to overcome the safety and protection issues found in the existing live-attenuated vaccines. The current study used a reverse vaccinology based immunoinformatics approach to construct the vaccine candidate using major and minor capsid proteins of the virus, VP2 and VP3, respectively. The vaccine construct was composed of four CD8+ epitopes, seven CD4+ T-cell epitopes, 11 B-cell epitopes and a Cholera Toxin B adjuvant, connected using appropriate flexible peptide linkers. The vaccine construct was evaluated as antigenic with VaxiJen Score of 0.6781, immunogenic with IEDB score of 2.89887 and non-allergenic. The 55.64 kDa construct was further evaluated for its physicochemical characteristics, which revealed that it was stable with an instability index of 16.24, basic with theoretical pI of 9.24, thermostable with aliphatic index of 86.72 and hydrophilic with GRAVY score of -0.256. The docking and molecular dynamics simulation studies of the vaccine construct with Toll-like receptor-3 revealed fair structural interaction (binding affinity of -295.94 kcal/mol) and complex stability. Further, the predicted induction of antibodies and cytokines by the vaccine construct indicated the possible elicitation of the host's immune response against the virus. The work is a significant attempt to develop next-generation vaccines against the infectious bursal disease virus though further experimental studies are required to assess the efficacy and protectivity of the proposed vaccine candidate in vivo.

Ensemble Machine Learning Model to Predict SARS-CoV-2 T-Cell Epitopes as Potential Vaccine Targets.

An ongoing outbreak of coronavirus disease 2019 (COVID-19), caused by a single-stranded RNA virus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused a worldwide pandemic that continues to date. Vaccination has proven to be the most effective technique, by far, for the treatment of COVID-19 and to combat the outbreak. Among all vaccine types, epitope-based peptide vaccines have received less attention and hold a large untapped potential for boosting vaccine safety and immunogenicity. Peptides used in such vaccine technology are chemically synthesized based on the amino acid sequences of antigenic proteins (T-cell epitopes) of the target pathogen. Using wet-lab experiments to identify antigenic proteins is very difficult, expensive, and time-consuming. We hereby propose an ensemble machine learning (ML) model for the prediction of T-cell epitopes (also known as immune relevant determinants or antigenic determinants) against SARS-CoV-2, utilizing physicochemical properties of amino acids. To train the model, we retrieved the experimentally determined SARS-CoV-2 T-cell epitopes from Immune Epitope Database and Analysis Resource (IEDB) repository. The model so developed achieved accuracy, AUC (Area under the ROC curve), Gini, specificity, sensitivity, F-score, and precision of 98.20%, 0.991, 0.994, 0.971, 0.982, 0.990, and 0.981, respectively, using a test set consisting of SARS-CoV-2 peptides (T-cell epitopes and non-epitopes) obtained from IEDB. The average accuracy of 97.98% was recorded in repeated 5-fold cross validation. Its comparison with 05 robust machine learning classifiers and existing T-cell epitope prediction techniques, such as NetMHC and CTLpred, suggest the proposed work as a better model. The predicted epitopes from the current model could possess a high probability to act as potential peptide vaccine candidates subjected to in vitro and in vivo scientific assessments. The model developed would help scientific community working in vaccine development save time to screen the active T-cell epitope candidates of SARS-CoV-2 against the inactive ones.

Machine Learning-Based Ensemble Model for Zika Virus T-Cell Epitope Prediction.

Zika virus (ZIKV), the causative agent of Zika fever in humans, is an RNA virus that belongs to the genus Flavivirus. Currently, there is no approved vaccine for clinical use to combat the ZIKV infection and contain the epidemic. Epitope-based peptide vaccines have a large untapped potential for boosting vaccination safety, cross-reactivity, and immunogenicity. Though many attempts have been made to develop vaccines for ZIKV, none of these have proved to be successful. Epitope-based peptide vaccines can act as powerful alternatives to conventional vaccines due to their low production cost, less reactogenic, and allergenic responses. For designing an effective and viable epitope-based peptide vaccine against this deadly virus, it is essential to select the antigenic T-cell epitopes since epitope-based vaccines are considered safe. The in silico machine-learning-based approach for ZIKV T-cell epitope prediction would save a lot of physical experimental time and efforts for speedy vaccine development compared to in vivo approaches. We hereby have trained a machine-learning-based computational model to predict novel ZIKV T-cell epitopes by employing physicochemical properties of amino acids. The proposed ensemble model based on a voting mechanism works by blending the predictions for each class (epitope or nonepitope) from each base classifier. Predictions obtained for each class by the individual classifier are summed up, and the class with the majority vote is predicted upon. An odd number of classifiers have been used to avoid the occurrence of ties in the voting. Experimentally determined ZIKV peptide sequences data set was collected from Immune Epitope Database and Analysis Resource (IEDB) repository. The data set consists of 3,519 sequences, of which 1,762 are epitopes and 1,757 are nonepitopes. The length of sequences ranges from 6 to 30 meter. For each sequence, we extracted 13 physicochemical features. The proposed ensemble model achieved sensitivity, specificity, Gini coefficient, AUC, precision, F-score, and accuracy of 0.976, 0.959, 0.993, 0.994, 0.989, 0.985, and 97.13%, respectively. To check the consistency of the model, we carried out five-fold cross-validation and an average accuracy of 96.072% is reported. Finally, a comparative analysis of the proposed model with existing methods has been carried out using a separate validation data set, suggesting the proposed ensemble model as a better model. The proposed ensemble model will help predict novel ZIKV vaccine candidates to save lives globally and prevent future epidemic-scale outbreaks.

Comparative evaluation of extraction methods for total proteins from Crocus sativus L. (Saffron).

Broadly speaking proteomic studies are one of the various techniques of utmost importance for understanding complex biological processes that occur under inductive conditions and revealing the multidimensional aspects of Crocus sativus in biological systems. In order to get an insight into the molecular changes and to characterize the variations in protein expression of C. sativus, a detailed proteomic analysis on one-dimensional gel electrophoresis is one of the basic steps to accomplish. We have compared total protein profiles of C. sativus extracted by three different recipes and analyzed on 10% sodium dodecyl sulfate polyacrylamide gels. Gels were subjected to densitometric analysis for further characterization. Among three different protocols NP-40 extraction buffer recipe resulted in the extraction of proteins most efficiently with minimum background and streaking. There was maximum solubilization of proteins with high efficiency. Such a profile can be used for high precision analysis of differential protein expression. This work is an attempt to assist researchers in effective extraction of proteins from C. sativus. As a researcher faces a perplexing array of choices as where to start we describe a method based on our collective analysis of the different protein protocols. This paper presents a method that could be applied at the outset of any proteomic study.

Anti-glioma Effects of Caffeic Acid Phenethyl Ester and Dasatinib Combination Therapy in an in vivo Rat Glioma Model.

BACKGROUND: Caffeic acid phenethyl ester and Dasatinib in combination, when used incongruous proportions and durations, present an antitumor potential for glioma in vitro, suggesting a high therapeutic potential for glioma treatment. OBJECTIVE: In the present study, we addressed the question whether CAPE and Dasatinib target multiple pathways involved in tumor growth, proliferation and development on an in vivo rat model of glioma. METHOD: Expression analysis of proteins thought to be mediating proliferation, cell motility, angiogenesis, and invasion was carried out to delineate the antineoplastic action of CAPE and Dasatinib. RESULTS: CAPE and Dasatinib modulate the expression of proteins having potential interactive crosstalk with major oncogenic pathways involved in glioma progression. Our results showed that combination treatment modulates the expression of p53 in group co-administered with CAPE and Dasatinib after glioma induction in comparison to the group induced with glioma only. EGFR and PCNA expression were significantly altered in the co-treated group in comparison with the glioma-induced group. The effects of CAPE and Dasatinib treatment were further evaluated on the AKT pathway by Western blot analysis. The co-treated group showed a significant reduction in the expression of AKT. The histopathological analysis further backed the antiproliferative and anti invasive effects of CAPE and Dasatinib. CONCLUSION: This study in totality suggests that the combinational therapy remarkably reduces the proliferation of glioma cells in vivo, suggesting that CAPE and Dasatinib therapy could be exploited for the management of gliomas without showing drug-related resistances and side effects, suggesting a high therapeutic potential of the therapy in glioma.

Alpha-1-antitrypsin deficiency: Genetic variations, clinical manifestations and therapeutic interventions.

Alpha-1-antitrypsin (AAT) is an acute phase secretory glycoprotein that inhibits neutrophil proteases like elastase and is considered as the archetype of a family of structurally related serine-protease inhibitors termed serpins. Serum AAT predominantly originates from liver and increases three to five fold during host response to tissue injury and inflammation. The AAT deficiency is unique among the protein-misfolding diseases in that it causes target organ injury by both loss-of-function and gain-of-toxic function mechanisms. Lack of its antiprotease activity is associated with premature development of pulmonary emphysema and loss-of-function due to accumulation of resultant aggregates in chronic obstructive pulmonary disease (COPD). This' in turn' markedly reduces the amount of AAT that is available to protect lungs against proteolytic attack by the enzyme neutrophil elastase. The coalescence of AAT deficiency, its reduced efficacy, and cigarette smoking or poor ventilation conditions have devastating effect on lung function. On the other hand, the accumulation of retained mutant proteins in the endoplasmic reticulum of hepatocytes in a polymerized form rather than secreted into the blood in its monomeric form is associated with chronic liver disease and predisposition to hepatocellular carcinoma (HCC) by gain- of- toxic function. Liver injury resulting from this gain-of-toxic function mechanism in which mutant AAT retained in the ER initiates a series of pathologic events, eventually culminating at liver cirrhosis and HCC. Here in this review, we underline the structural, genetic, polymorphic, biochemical and pathological advances made in the field of AAT deficiency and further comprehensively emphasize on the therapeutic interventions available for the patient.

Interleukin-10 -592C/A, but not -1082A/G promoter single nucleotide polymorphism, is associated with a decreased risk of colorectal cancer in an ethnic Kashmiri population: a case-control study.

Chronic inflammation influences the development of various cancers including colorectal cancer (CRC). Interleukin-10 (IL-10), an anti-inflammatory cytokine, plays a vital role in several homeostatic physiological processes occurring in the human gastrointestinal tract including intestinal inflammation and is a key regulator of several gastrointestinal tract pathophysiological processes such as inflammatory bowel diseases that are associated with an increased predisposition to CRC. Several studies have reported the association of various polymorphisms in the human IL-10 gene including IL-10 -592C/A and IL-10 -1082A/G single nucleotide polymorphisms (SNPs) with various cancers including CRC, but these SNPs are yet to be studied in a Kashmiri population with respect to CRC risk. The aim of this study was to analyze the association of IL-10 -592C/A and IL-10 -1082A/G promoter SNPs with CRC risk in an ethnic Kashmiri population through a case-control design. The genotype frequencies of IL-10 -592C/A and IL-10 -1082A/G promoter SNPs were compared between 142 CRC patients and 184 individually matched healthy controls using the PCR and restriction fragment length polymorphism method. The association between the IL-10 -592C/A and IL-10 -1082A/G SNPs and CRC risk was examined through conditional logistic regression models adjusted for multiple possible confounding (third) variables. The possible effect measure modification of the association between the relevant SNP genotypes and CRC risk by various CRC risk factors including age, sex, and smoking status was also evaluated. Further, the associations between these SNPs and various clinicopathological parameters, demographic variables, and environmental factors in the case group patients with respect to CRC risk were also analyzed. The overall association between the IL-10 -592C/A SNP and the modulation of CRC risk was found to be significant (P=0.001). The variant genotype (AA) was significantly associated with a decreased risk of CRC (odds ratio: 0.25; 95% confidence interval: 0.11-0.61; P=0.002). Further, the less common IL-10 -592A allele was associated with a decreased risk of CRC (odds ratio: 0.64; 95% confidence interval: 0.46-0.88; P=0.0092). The overall association between the IL-10 -1082A/G SNP and the modulation of CRC risk was not found to be significant (P=0.141). This study has shown that there is a significant association between the IL-10 -592C/A promoter SNP and a decreased risk of CRC in an ethnic Kashmiri population, but the association between IL-10 -1082A/G SNP and the risk of CRC in the population under study is not significant. However, to substantiate our findings, this study needs to be replicated with a larger sample size and with other ethnically defined populations with comparable CRC incidence.

Multiple sclerosis in India: Iceberg or volcano.

Multiple sclerosis (MS)1 is a chronic neurodegenerative disease involving destruction of the myelin sheath around axons of the brain, spinal cord and optic nerve. There has been a tremendous transformation in its perspective across globe. In recent years, its prevalence has changed dramatically worldwide and India is no exception. Initially, MS was believed to be more common in the Caucasians of Northern Europe and United States; however, it has been found to be present in Indian subcontinent as well. There has been a considerable shift in MS prevalence in India and this has really changed the notion of considering India as a low risk zone for MS. In this review, a concise overview and latest update on changing scenario of MS in India is presented along with some major challenges regarding it persisting across globe even today. In India, remarkable upsurge is needed in carrying out large scale population-based epidemiological studies to get an idea about the true incidence and prevalence rates of MS viz a viz disease burden. Through this review, we have probably tried to identify the actual picture of MS prevalence in India and this could serve as harbinger for upcoming research and at the same time it would definitely aid in working out future strategies for MS management in the country.

Demographic and clinical profile of Multiple Sclerosis in Kashmir: A short report.

BACKGROUND: Multiple sclerosis (MS) is a chronic autoimmune and inflammatory disease of the central nervous system (CNS). There have been only few population/hospital based studies on MS in India, and at the same time there is no data on its profile in Kashmir. METHODS: A total of 41 MS patients diagnosed on the basis of 2010 Revised Mc Donald criteria were enrolled in this study from Kashmir region of India. Clinical, demographic, radiological and biochemical parameters were analyzed for most of the patients. RESULTS: Male to female ratio was found to be 1:3.1 with mean age at the time of analysis 32.26±7.54 (range 18-48) years. The mean disease duration was found to be 3.2±3.6 years. The most common course was relapsing-remitting (RR) present in 87.80% of cases followed by secondary progressive (SP) in 9.76% and primary progressive (PP) in 2.44%. Numbness, weakness of limbs, prickling and tingling sensations, muscle stiffness, and visual disturbances were most common manifestations. Condition of bilateral internuclear ophthalmoplegia (INO) and vertigo was rarely observed. Oligoclonal bands (OCB) were present in cerebrospinal fluid (CSF) of majority of the patients. Symptomatic and steroidal treatment mode was given to majority of the patients (92.68%) and only 7.32% patients were given disease modifying drug. CONCLUSION: This is the first preliminary report on MS profile in Kashmir. The high prevalence of female patients and RR course of MS, low prevalence of progressive cases, predominance of OCB positive cases, insignificant family history in all cases, predominance of cases with low socio-economic status, and high rate of less educated and unemployed cases are the most important findings. By and large MS pattern in Kashmir was found to be relatively similar to West and rest of the Asia. Larger comprehensive studies are mandatory to completely understand MS pattern in Kashmir. There is utmost requirement to maintain a local MS registry in Kashmir so as to get an idea about the actual number of persons suffering from the disease and compare the data with other regions of India.

Strong association of interleukin-6 -174G/C promoter single nucleotide polymorphism with a decreased risk of colorectal cancer in ethnic Kashmiri population: A case control study.

Chronic inflammation increases the risk of development of various cancers, including colorectal cancer. Interleukin-6 has been described as a key regulator of colorectal cancer development and is important in the process of colorectal tumorigenesis largely through the regulation of tumor-promoting inflammation. Several studies have reported the association of various polymorphisms in human interleukin-6 gene including IL-6 -174G/C single nucleotide polymorphism with various cancers, including colorectal cancer, but the results are mixed and inconclusive. The aim of this study was to analyze the association of IL-6 -174G/C promoter single nucleotide polymorphism with colorectal cancer risk and also to evaluate the modifying effects of possible IL-6 -174G/C single nucleotide polymorphism genotypes on different risk factors of colorectal cancer or the reciprocal effect in ethnic Kashmiri population through a case control setup. The genotype frequencies of IL-6 -174G/C promoter single nucleotide polymorphism were compared between 142 colorectal cancer patients and 184 individually matched healthy controls by using polymerase chain reaction-restriction fragment length polymorphism method. The association between the IL-6 -174G/C single nucleotide polymorphism and colorectal cancer risk was examined through conditional logistic regression models adjusted for multiple possible confounding (third) variables. The possible effect measure modification of the association between the relevant single nucleotide polymorphism genotypes and colorectal cancer risk by various colorectal cancer risk factors including age, gender, and smoking status was also evaluated. Furthermore, the associations between these single nucleotide polymorphisms and various clinicopathological parameters, demographic variables, and environmental factors within the case group subjects with regard to colorectal cancer risk were also analyzed. The overall association between the IL-6 -174G/C single nucleotide polymorphism and the modulation of colorectal cancer risk was found to be highly significant (p = 0.001). The variant genotype (CC) was significantly associated with a decreased risk of colorectal cancer (odds ratio, 0.15 (95% confidence interval, 0.04-0.54); p = 0.004). Furthermore, the less common IL-6-174C allele was associated with a decreased risk of colorectal cancer (odds ratio, 0.49 (95% confidence interval, 0.33-0.73); p = 0.0006). The combined variant genotype (GC + CC) was also significantly associated with a decreased risk of colorectal cancer (odds ratio, 0.54 (95% confidence interval, 0.33-0.89); p = 0.015). This study demonstrates that there is a strong and highly significant association between the IL-6 -174G/C promoter single nucleotide polymorphism and a decreased risk of colorectal cancer in ethnic Kashmiri population. However, in order to substantiate our findings, this study needs to be replicated with larger sample size and with other ethnically defined populations with comparable colorectal cancer incidence.

Multiple Sclerosis and EIF2B5: A Paradox or a Missing Link.

Multiple sclerosis (MS) is an encumbering inflammatory condition of the central nervous system (CNS) caused by axonal demyelination. There is sufficient evidence suggesting role of eukaryotic translation initiation factor 2B (EIF2B) gene family encoding the five subunits of eIF2B complex-α, ß, γ, δ and ε respectively, in causing vanishing white matter (VWM) disease of the brain. Incidentally researchers have proposed overlapping between MS and VWM in terms of clinical, biochemical and genetic aspects, which incited us to write this chapter to explore the association between EIF2B5 and MS. eIF2B plays an essential role in translation initiation and its regulation in eukaryotes. Among EIF2B gene family, EIF2B5 gene encodes the catalytic and a crucial epsilon subunit of the eIF2B protein as most of the alterations have been found in this gene. The recent findings on the association between EIF2B5 and MS susceptibility point towards unfathomable and contentious role of EIF2B5 in MS development. This chapter briefly reviews the insights gleaned from recent studies conducted in understanding the association between EIF2B5 and MS risk. The need of hour is to conduct large scale conclusive studies aimed at expounding the mechanisms behind this relationship.

Multiple sclerosis in Kashmir: Where we stand.

Multiple sclerosis (MS) is a disabling neurological disorder commonly diagnosed in young adults. Its causes still remain inexplicable and presently it can only be managed by different drug treatments. There has been a remarkable shift in MS perspective across world. One of its peculiar attribute is unstable (changing) prevalence rate across different parts of the world. Earlier MS was believed to be less prevalent in India, however, there has been growing evidence suggesting its increasing prevalence which has changed its perspective from being less prevalent to more prevalent. There is a complete lack of data on the prevalence rate and epidemiological basis of MS in Kashmir Valley of India. By and large MS research in this region seems to be hampered due to lack of proper research infrastructure, absence of MS registry, inadequate funding and more importantly by absence of active local and foreign collaborations between scientists and clinicians. This review tries to raise some key issues encountered while conducting MS research in Kashmir and at the same time highlighting the measures to be adopted for carrying out a large scale molecular epidemiological study.

Tumor necrosis factor-α (TNF-α)-308G/A promoter polymorphism in colorectal cancer in ethnic Kashmiri population - A case control study in a detailed perspective.

BACKGROUND: Inflammation constitutes one of the important components of colorectal cancer (CRC) pathogenesis. Tumor necrosis factor-α (TNF-α), a cytokine and an important inflammatory mediator plays a pivotal role in the malignant cellular proliferation, angiogenesis, tissue invasion and metastasis in CRC. The studies on association of various polymorphisms in human TNF-α gene including TNF-α-308G/A single nucleotide polymorphism (SNP) are limited, mixed and inconclusive. MATERIALS AND METHODS: The aim of this study was to analyze the association of TNF-α-308G/A promoter SNP with colorectal cancer (CRC) susceptibility and development risk and also to evaluate the modifying effects of possible TNF-α-308G/A genotypes on different risk factors of CRC in ethnic population of Kashmir, India through a case-control setup. The genotype frequencies of TNF-α-308G/A promoter SNP were compared between 142 CRC patients and 184 individually matched healthy controls by using polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP) method. The associations between the TNF-α-308G/A SNP and CRC risk were examined through conditional logistic regression models adjusted for multiple possible confounding (third) variables. Further, the associations between this SNP and various clinico-pathological parameters, demographic variables and environmental factors within the case group subjects with regard to CRC risk were also evaluated. RESULTS: The association between the TNF-α-308G/A SNP and the modulation of risk of CRC was not found to be significant (p value = 0.156). The effect of less common TNF-α-308A allele on the risk of colorectal cancer was also not found to be significant (p value = 0.175). The variant genotype (AA) was nonexistent in the study population. Further, we found no significant effect modulation of CRC risk by wild and heterozygous TNF-α-308G/A SNP genotypes in presence of different possible risk factors (p > 0.05). We also found no significant association of TNF-α-308G/A SNP with the subsets of various characteristics of the case group subjects under study (p > 0.05). CONCLUSIONS: This study indicates that there is no significant association between the TNF-α-308G/A promoter SNP and the risk of developing CRC in ethnic Kashmiri population. However, in order to substantiate our findings, this study needs to be replicated with bigger sample size and should involve other ethnically defined populations with high CRC risk.

Matrix metalloproteinase (MMP) -2, -7 and -9 promoter polymorphisms in colorectal cancer in ethnic Kashmiri population - A case-control study and a mini review.

Matrix metalloproteinases (MMPs) are proteolytic enzymes that play a pivotal role in the transformation and progression of tumors at all stages, especially during the invasion and metastasis. The aim of this study was to determine the genetic association of MMP2, MMP7 and MMP9 promoter polymorphisms with colorectal cancer (CRC) susceptibility and development risk in ethnic Kashmiri population. The genotype frequencies of MMP2-1306C/T, MMP7-181A/G and MMP9-1562C/T SNPs were compared between 142 CRC patients and 184 healthy controls by using PCR-RFLP method. The association between all the three MMP promoter polymorphisms and the modulation of risk of CRC was found to be significant (p≤0.05). The heterozygous genotype (CT) of MMP2-1306C/T SNP and variant genotype (GG) of MMP7-181A/G SNP showed a significant association with decreased risk for the development of CRC [OR, 0.61 (95%CI, 0.37-1.01); p=0.05 and OR, 0.43 (95%CI, 0.20-0.90); p=0.02, respectively] whereas the heterozygous genotype (CT) of MMP9-1562C/T SNP showed a significant association with increased risk for the development of colorectal cancer [OR, 1.88 (95%CI, 1.11-3.18); p=0.02]. Further, the less common MMP9-1562T allele was found to be significantly associated with an increased risk of colorectal cancer [OR, 1.74 (95%CI, 1.15-2.62); p=0.007]. Our results suggest that these MMP2, MMP7 and MMP9 promoter polymorphisms play a role as one of the key modulators of the risk of developing colorectal cancer in Kashmiri population.