Silybin B and Cianidanol Inhibit Mpro and Spike Protein of SARS-CoV-2: Evidence from in silico Molecular Docking Studies.

BACKGROUND: The main proteases (Mpro) and Spike Proteins (SP) of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) play a major role in viral infection development by producing several non-structural proteins (nsPs) and penetrating the host cells, respectively. In this study, the potential of in silico molecular docking-based drug repositioning approach was exploited for identifying the inhibitors of Mpro and SP of SARS-CoV-2. METHODS: A total of 196 compounds, including various US-FDA-approved drugs, vitamins, and their analogs, were docked with Mpro (PDB IDs: 6YB7 and 6Y84), and the top six ligands were further tested for ADME properties, followed by docking with SP (PDB IDs: 6LXT and 6W41). RESULTS: Out of 196 compounds, binding energy (DE) of Silybin B (6YB7: DE: -11.20 kcal/mol; 6Y84: DE: - 10.18 kcal/mol; 6LXT: DE: -10.47 kcal/mol; 6W41: DE: -10.96 kcal/mol) and Cianidanol (6YB7: DE: -8.85 kcal/mol; 6LXT: DE: -9.36 kcal/mol; 6Y84: DE: -10.02 kcal/mol; 6W41: DE: -9.52 kcal/mol) demonstrated better binding and ADME properties compared with the currently endeavored drugs like Hydroxychloroquine and Lopinavir. Additionally, Elliptinone, Diospyirin, SCHEMBL94263, and Fiboflavin have shown encouraging results. Fiboflavin, an immunity booster, was found to inhibit both the Mpro and spike protein of SARSCoV- 2. It was observed that amino acid residues MET6, ALA7, PHE8, PRO9, ASP295, GLY302, VAL303, and THR304 play significant roles in protein-ligand interactions through hydrogen bonds and Vander Waals forces. CONCLUSION: Silybin B and Cianidanol showed excellent binding and ADME properties compared with the currently endeavored drugs and can be exploited as therapeutic options against SARS-CoV-2 infection after experimental validation and clinical trials.

In Silico Studies Reveal Antiviral Effects of Traditional Indian Spices on COVID-19.

BACKGROUND: The global health emergency due to SARS-CoV-2 causing the COVID-19 pandemic emphasized the scientific community to intensify their research work for its therapeutic solution. In this study, Indian traditional spices owing to various medicinal properties were tested in silico for their inhibitory activity against SARS-CoV-2 proteins. SARS-CoV-2 spike proteins (SP) and main proteases (Mpro) play a significant role in infection development were considered as potential drug targets. METHODS: A total of 75 phytochemicals present in traditional Indian spices retrieved from the published literature and Dr. Duke's Phytochemical and Ethnobotanical Database, were docked with Mpro (PDB IDs: 6YNQ), and the SP (PDB IDs: 6LXT and 6YOR). RESULTS: Through the screening process, 75 retrieved phytochemicals were docked with spike protein (PDB IDs: 6LXT and 6YOR) and main protease (PDB ID: 6YNQ) of SARS-CoV-2. Among them, myricetin, a flavonoid (rank score: 6LXT: -11.72383; 6YOR: -9.87943; 6YNQ: -11.68164) from Allium sativum L and Isovitexin, an example of flavone (rank score: 6LXT: -12.14922; 6YOR: -10.19443; 6YNQ: -12.60603) from Pimpinella anisumL were the most potent ligands against SP and Mpro of SARS-CoV-2. Whereas, Astragalin from Crocus sativus L.; Rutin from Illicium verum, Oxyguttiferone from Garcinia cambogia; Scopolin from Apium graveolens L, Luteolin from Salvia officinalis, Emodin, Aloe-emodin from Cinnamomum zeylanicium and Apigenin from Allium sativum L showed better inhibition against Mpro than SP of SARS-CoV-2. The amino acid residues like SER, LYS, ASP and TYR were found playing important role in protein-ligand interactions via hydrogen bonding and Vander Waals forces. CONCLUSION: Optimal use of traditional spices in our daily meals may help fight against COVID-19. This study also paves the path for herbal drug formulation against SARS-CoV-2 after wet lab validation.

A neural network approach for the prediction of in vitro culture parameters for maximum biomass yields in hairy root cultures.

The present study deals with ANN based prediction of culture parameters in terms of inoculum density, pH and volume of growth medium per culture vessel and sucrose content of the growth medium for Glycyrrhiza hairy root cultures. This kind of study could be a model system in exploitation of hairy root cultures for commercial production of pharmaceutical compounds using large bioreactors. The study is aimed to evaluate the efficiency of regression neural network and back propagation neural network for the prediction of optimal culture conditions for maximum hairy root biomass yield. The training data for regression and back propagation networks were primed on the basis of function approximation, where final biomass fresh weight (f(wt)) was considered as a function of culture parameters. On this basis the variables in culture conditions were described in the form of equations which are for inoculum density: y=0.02x+0.04, for pH of growth medium: y=x+2.8, for sucrose content in medium: y=9.9464x+(-9.7143) and for culture medium per culture vessel: y=10x. The fresh weight values obtained from training data were considered as target values and further compared with predicted fresh weight values. The empirical data were used as testing data and further compared with values predicted from trained networks. Standard MATLAB inbuilt generalized regression network with radial basis function radbas as transfer function in layer one and purelin in layer two and back propagation having purelin as transfer function in output layer and logsig in hidden layer were used. Although in comparative assessment both the networks were found efficient for prediction of optimal culture conditions for high biomass production, more accuracy in results was seen with regression network.

Polymorphism in cytochrome P450 2A6 and glutathione S-transferase P1 modifies head and neck cancer risk and treatment outcome.

A case control study was carried out to investigate the association of functionally important polymorphism in cytochrome P450 2A6 (CYP2A6) and glutathione S-transferase P1 (GSTP1) genes with head and neck squamous cell carcinoma (HNSCC) and treatment response in cases receiving a combination of chemo-radiotherapy. The study group consisted of 350 males suffering from HNSCC and an equal number of male controls. Multivariate logistic regression analysis revealed statistically significant decrease in risk to HNSCC in cases with variant genotypes (CYP2A6*1B and CYP2A6*4C) of CYP2A6 (OR: 0.78; 95% CI: 0.43-1.22; P=0.04) or GSTP1 (OR: 0.71; 95% CI: 0.51-1.00; P=0.05). The risk associated with these variant genotypes was found to be further decreased in cases carrying a combination of variant genotypes of CYP2A6 and GSTP1 (OR: 0.40; 95% CI: 0.25-0.65; P=0.00). A similar decrease in risk was observed in cases with variant genotypes of CYP2A6 (OR: 0.59; 95% CI: 0.40-0.86; P=0.00) or GSTP1 (OR: 0.62; 95% CI: 0.42-0.91; P=0.01) and who were regular tobacco users (cigarette smokers or tobacco chewers). Interestingly, only 27% of the cases carrying the variant forms of CYP2A6 (*1A/*4C+*1B/*4C+*4C/*4C) responded to the treatment for HNSCC when compared to those with wild-type genotype (69%). However with GSTP1, cases with homozygous mutant genotype (Val/Val) showed a superior treatment response (75%) when compared to cases with wild-type genotype (25%). Further, cases carrying a combination of variant genotype of CYP2A6 and wild-type genotype of GSTP1 exhibited a very poor treatment response demonstrating that polymorphisms in CYP2A6 and GSTP1 not only modified the risk to HNSCC but also played a major role in determining the chemotherapeutic response.

A trial sequential meta-analysis of TNF-α -308G>A (rs800629) gene polymorphism and susceptibility to colorectal cancer.

PURPOSE: Tumor necrosis factor-α (TNF-α), secreted by the activated macrophages, may participate in the onset and progression of colorectal cancer (CRC). The association of TNF-α -308 G>A (rs1800629) single-nucleotide polymorphism (SNP) with CRC risk has been investigated by many studies but the results are inconclusive. A trial sequential meta-analysis was performed for precise estimation of the relationship between TNF-α -308 G>A gene polymorphism with CRC risk. METHODS: Medline (PubMed), EMBASE (Excerpta-Medica) and Google Scholar were mined for relevant articles. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the significance of association. RESULTS: The pooled analysis indicated no risk associated with TNF-α -308 G>A SNP and overall CRC risk in five genetic comparison models, i.e. allelic (A vs. G: P = 0.524; OR = 1.074, 95% CI = 0.863-1.335), homozygous (AA vs. GG: P = 0.489; OR = 1.227, 95% CI = 0.688-2.188), heterozygous (AG vs. GG: P = 0.811; OR = 1.024, 95% CI = 0.843-1.244), dominant (AA+AG vs. GG: P = 0.630; OR = 1.055, 95% CI = 0.849-1.311) and recessive (AA vs. AG+GG: P = 0.549; OR = 1.181, 95% CI = 0.686-2.033). Subgroup analysis revealed that TNF-α -308 G>A SNP is associated with reduced risk of CRC in Asian ethnicity. The study showed no publication bias. CONCLUSIONS: No association of TNF-α -308 G>A SNP with overall CRC risk was found. This SNP is likely to be protective against CRC in Asian population when compared with Caucasian population. Larger prospective-epidemiological studies are warranted to elucidate the roles of TNF-α -308 G>A SNP in the etiology of CRC and to endorse the present findings.

Interaction of cytochrome P4501A1 genotypes with other risk factors and susceptibility to lung cancer.

Lung cancer is the most common cause of death throughout the world with cigarette smoking being established as the major etiological factor in lung cancer. Since not much information is available regarding the polymorphism in drug metabolizing enzymes and lung cancer risk in the Indian population, the present case-control study attempted to investigate the association of polymorphisms in cytochrome P450 1A1 (CYP1A1) and glutathione-S-transferase M1 (GSTM1) with risk to squamous cell carcinoma of lung malignancy. Patients suffering from lung cancer (n=200) and visiting OPD facility of Department of Radiotherapy, King George's Medical University, Lucknow, were included in the study. Equal number (n=200) of age and sex matched healthy individuals were also enrolled in the study. Our data revealed that the variant genotypes of CYP1A1*2A, CYP1A1*2C and CYP1A1*4 were found to be over represented in the lung cancer patients when compared to controls. CYP1A1*2A variant genotypes (combined heterozygous and mutant genotypes) revealed significant association towards the lung cancer risk (OR: 1.93, 95%CI: 1.28-2.89, p=0.002). Likewise, GSTM1 null genotypes were found to be over represented in patients when compared to controls. Haplotype analysis revealed that CYP1A1 haplotype, C-G-C increased the lung cancer risk (OR: 3.90, 95%CI: 1.00-15.04, p=0.025) in the patients. The lung cancer risk was increased several two-to fourfold in the patients carrying the genotype combinations of CYP1A1*2A and GSTM1 suggesting the role of gene-gene interaction in lung cancer. Cigarette smoking or tobacco chewing or alcohol consumption was also found to interact with CYP1A1 genotypes in increasing the risk to lung cancer further demonstrating the role of gene-environment interaction in development of lung cancer.

Association of functionally important polymorphisms in cytochrome P4501B1 with lung cancer.

In the present study, genotype and haplotype frequencies of four polymorphisms of cytochrome P450 1B1 (CYP1B1) that cause amino acid changes (Arg-Gly at codon 48, Ala-Ser at codon 119, Leu-Val at 432 and Asn-Ser at codon 453) were studied in 200 patients suffering from lung cancer and equal number of controls. A significant difference was observed for the distribution of variant genotypes of CYP1B1Arg48Gly and Ala119Ser polymorphisms (CYP1B1*2) in cases when compared to the controls. No significant difference was observed for the distribution of variant genotypes of CYP1B1Leu432Val (CYP1B1*3) and CYP1B1Asn453Ser (CYP1B1*4) polymorphism. When the four SNPs were analyzed using a haplotype approach, SNPs at codon 48 (Arg48Gly) and codon 119 (Ala119Ser) exhibited complete linkage disequilibrium (LD) in all the cases and controls. Significant differences in the distribution of the three haplotypes (G-T-C-A, G-T-G-A and G-T-C-G) were observed in the cases when compared to controls. Tobacco use in the form of smoking as well as chewing was found to significantly increase the risk of lung cancer in patients by interacting with CYP1B1Ala119Ser genotypes demonstrating the role of gene-environment interaction in lung cancer. Further, the risk of lung cancer increased several fold in the patients carrying the genotype combinations of CYP1B1Ala119Ser and CYP1B1Leu432Val with GSTM1, a phase II enzyme suggesting the importance of gene-gene interactions in enhancing the susceptibility to lung cancer.

Impact of LMP7 (rs2071543) gene polymorphism in increasing cancer risk: evidence from a meta-analysis and trial sequential analysis.

Genetic variant LMP7 (low molecular weight polypeptide 7) -145 C > A may influence the function of immune surveillance of an individual and lead to cancer development. Various studies have investigated the relevance of LMP7 -145 C > A gene polymorphism with cancer risk; but, their results are conflicting and inconsistent. To obtain a comprehensive conclusion, a meta-analysis was performed by including eight eligible published studies retrieved from PubMed (Medline), EMBASE and Google Scholar web search until December 2016. Individuals with AA genotype (AA vs CC: p = 0.001; OR = 2.602, 95% CI = 1.780 to 3.803) of LMP7 -145 C > A were found to have 2 folds higher risk of cancer than those with CC genotype. The recessive genetic model (AA vs AC + CC) also indicated that individuals with AA genotype have 2 folds higher cancer risk than AC and CC genotypes (p = 0.001; OR = 2.216, 95% CI = 1.525 to 3.221). Also, significant increased cancer risk was observed in Asians but not in Caucasians. No publication bias was observed during the analysis. Trial sequential analysis also strengthened our current findings. These results suggest that genetic variant LMP7-145 C > A has significant role in increasing cancer risk in overall and Asian population, and could be useful as a prognostic marker for early cancer predisposition.

Impact of TNF -308 G>A (rs1800629) gene polymorphism in modulation of leprosy risk: a reappraise meta-analysis of 14 case-control studies.

PURPOSE: Earlier studies have shown that tumor necrosis factor (TNF) -308 G>A (rs1800629) gene polymorphism is implicated in the susceptibility to leprosy, but results were inconsistent. METHODS: A meta-analysis of 14 studies involving 3327 leprosy cases and 3203 controls was performed to appraise the association of TNF -308 G>A polymorphism with leprosy using MEDLINE (PUBMED), EMBASE, and Google Scholar web databases. RESULTS: Overall, no significant association was observed in allelic (A vs. G: P=0.068; OR = 0.836, 95% CI = 0.689-1.013), homozygous (AA vs. GG: P=0.394; OR = 0.810, 95% CI = 0.499-1.315), heterozygous (GA vs. GG: P=0.059; OR = 0.780, 95% CI = 0.603-1.010), dominant (AA + GA vs. GG: P=0.067; OR = 0.797, 95% CI = 0.625-1.016), and recessive (AA vs. GG + GA: P=0.594; OR = 0.877, 95% CI = 0.542- 1.420) genetic models. Subgroup analysis showed no association in Asians. Whereas, reduced risk was found in allelic contrast (A vs. G: P=0.014; OR = 0.832, 95% CI = 0.718-0.963) and dominant models (AA + GA vs. GG: P=0.004; OR = 0.790, 95% CI = 0.673-0.928) of the mixed population. CONCLUSIONS: TNF -308 G>A polymorphism is not associated with leprosy risk in the overall population. However, subgroup analysis demonstrated protective effect of the said polymorphism in leprosy risk in the Latin American population, but showed no association in the Asians.

IL-10 -1082 A>G (rs1800896) polymorphism confers susceptibility to pulmonary tuberculosis in Caucasians but not in Asians and Africans: a meta-analysis.

BACKGROUND: Earlier studies have shown that interlukin-10 (IL-10) -1082 A>G gene polymorphism is implicated in susceptibility to pulmonary tuberculosis (PTB), but their results are inconsistent and inconclusive. In the present study, a meta-analysis was performed to analyze the potential association between IL-10 -1082 A>G gene polymorphism and PTB susceptibility. METHODS: A quantitative synthesis was done using PubMed (Medline), EMBASE, and Google Scholar web databases search and meta-analysis was performed by calculating pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) for all the genetic models. RESULTS: A total of 22 eligible studies comprising 4956 PTB cases and 6428 healthy controls were included in the analysis. We did not observe any increased or decreased risk of PTB in allelic contrast (G vs. A: P=0.985; OR = 1.001, 95% CI = 0.863-1.162), homozygous (GG vs. AA: P=0.889; OR = 1.029, 95% CI = 0.692-1.529), heterozygous (GA vs. AA: P=0.244; OR = 0.906, 95% CI = 0.767-1.070), dominant (GG + AG vs. AA: P=0.357; OR = 1.196, 95% CI = 0.817-1.752), and recessive (GG vs. AA + AG: P=0.364; OR = 0.921, 95% CI = 0.771-1.100) genetic models. Likewise, no association of IL-10 -1082 A>G polymorphism with PTB risk was observed in Asian and African population for all the genetic models. Interestingly, the dominant model (GG + AG vs. AA: P=0.004; OR = 1.694, 95% CI = 1.183-2.425) demonstrated increased risk of PTB in Caucasian population. CONCLUSIONS: This meta-analysis concludes that IL-10 -1082 A>G gene polymorphism is not significantly associated with overall, Asian and African population. However, this polymorphism is associated with Caucasian population.

Computational characterization of Plasmodium falciparum proteomic data for screening of potential vaccine candidates.

Advancement in the field of proteomics and bioinformatics offers tremendous opportunities for the development of novel epitope-based effective vaccine against human malaria. In this study, we have characterized 25 antigens as a vaccine candidate and screened the potential T-lymphocyte epitopes presented by human leukocyte antigen (HLA)-A, -B, and -DR molecules based on the proteomic data of Plasmodium falciparum. Of the 25 proteins, 22 were predicted as probable antigens and two were predicted as adhesions. In addition, seven proteins were predicted to contain signal peptide for secretary pathway and six proteins were found similar to the human and mouse reference proteins, whereas none of the proteins were predicted as allergen. A total of 14,841 peptides were predicted as epitope, presented by HLA class I and II supertypes that covered a broad human population (approximately 95%). Our results suggest that HLA-based multistage and multiepitope malaria vaccine would likely be needed to induce broader CD8(+) as well as CD4(+) T-cell responses. The predicted epitopes may be served as a useful diagnostic reagent for evaluating T-cell responses in the context of natural infection and/or vaccine trials.