Exploration of comprehensive marine natural products database against dengue viral non-structural protein 1 using high-throughput computational studies.

Dengue virus (DENV) non-structural protein 1 (NS1) is a versatile quasi-protein essential for the multiplication of the virus. This study applied high-throughput virtual screening (HTVS) and molecular dynamics (MD) simulation to detect the potential marine natural compounds against the NS1 of DENV. The structure of the NS1 protein was retrieved from Protein Data Bank with (PDB ID: 4O6B). Missing residues were added using modeler software. Molecular operating environment (MOE) programme was used to prepare the protein before docking. Virtual screening was performed on PyRx software to identify natural compounds retrieved from Comprehensive Marine Natural Products Database (CMNPD) against the NS1 protein, and best-docked compounds were examined by molecular docking and molecular dynamic (MD) simulation. Out of 31,561 marine compounds, the top 10 compounds showed docking scores lesser than -8.0 kcal/mol. One of the best hit compounds, CMNPD6802, was further analyzed using MD simulation study at 100 nanoseconds and Molecular Mechanics with Generalized Born and Surface Area Solvation (MM/GBSA). Based on its total binding energy, determined using the MM/GBSA approach, CMNPD6802 was ranked first. Its pharmacokinetic properties concerning the target protein NS1 were also evaluated. The results of the MD simulation showed that CMNPD6802 remained in close contact with the protein throughout the activation period, mapped using principal component analysis. These findings suggest that CMNPD6802 could serve as an NS1 inhibitor and may be a potential candidate for treating DENV infections.Communicated by Ramaswamy H. Sarma.

Campesterol and dithymoquinone as a potent inhibitors of SARS cov-2 main proteases-promising drug candidates for targeting its novel variants.

The sudden outbreak of the COVID-19 pandemic has currently taken approximately 2.4 million lives, with no specific medication and fast-tracked tested vaccines for prevention. These vaccines have their own adverse effects, which have severely affected the global healthcare system. The discovery of the main protease structure of coronavirus (Mpro/Clpro) has resulted in the identification of compounds having antiviral potential, especially from the herbal system. In this study, the computer-associated drug design tools were utilised to analyze the reported phytoconstituents of Nigella sativa for their antiviral activity against the main protease. Fifty-eight compounds were subjected to pharmacological parameter analysis to determine their lead likeness in comparison to the standard drugs (chloroquine and nirmatrelvir) used in the treatment of SARS-CoV-2. Nearly 31 compounds were docked against five different SARS-CoV-2 main proteases, and all compounds showed better binding affinity and inhibition constant against the proteases. However, dithymoquinone and campesterol displayed the best binding scores and hence were further subjected to dynamics and MMPBSA study for 100 ns. The stability analysis shows that dithymoquinone and campesterol show less variation in fluctuation in residues compared to standard complexes. Moreover, dithymoquinone exhibited higher binding affinity and favorable interaction followed by campesterol as compared to the standard drug. The in silico computational analysis provides a promising hit for regulating the main proteases activity.Communicated by Ramaswamy H. Sarma.

HDAC inhibition by Nigella sativa L. sprouts extract in hepatocellular carcinoma: an approach to study anti-cancer potential.

A wide variety of natural products have been widely used in chemoprevention therapy because they have antioxidant, anti-inflammatory, and anticancer activity. In the present study, we shed light on the 5th day germinated sprouts of N. sativa seeds and evaluated them against HDAC inhibition and antioxidant activity. The extract from the seed and sprout was extracted and characterised by LC-MS/MS, FTIR, and NMR to reveal its chemical composition, especially thymol (THY) and thymoquinone (TQ). Hepatocellular carcinoma (HCC) is a global health concern as it is a major lifestyle disease. Hence, incorporating herbal-based therapeutic compounds into everyday routines has become an attractive alternative for preventing hepatic diseases. Histone deacetylase (HDAC) inhibition (HDACi) is emerging as a promising therapeutic strategy for managing various carcinomas including HCC. Therefore, the 5th day of N. sativa can be used as a potential anticancer agent by inhibiting HDAC activity, as it is reported to have an important role in the management of oxidative stress. The bioactive compound of N. sativa, i.e. thymoquinone, also showed a good binding affinity with the HDAC protein (3MAX) with a stable interaction in an in silico study as compared to the standard drug (Trichostatin A) and thymol.Communicated by Ramaswamy H. Sarma.

Exploring the tumor immune microenvironment in ovarian cancer: a way-out to the therapeutic roadmap.

INTRODUCTION: Despite cancer treatment strides, mortality due to ovarian cancer remains high globally. While immunotherapy has proven effective in treating cancers with low cure rates, it has limitations. Growing evidence suggests that both tumoral and non-tumoral components of the tumor immune microenvironment (TIME) play a significant role in cancer growth. Therefore, developing novel and focused therapy for ovarian cancer is critical. Studies indicate that TIME is involved in developing ovarian cancer, particularly genome-, transcriptome-, and proteome-wide studies. As a result, TIME may present a prospective therapeutic target for ovarian cancer patients. AREAS COVERED: We examined several TIME-targeting medicines and the connection between TIME and ovarian cancer. The key protagonists and events in the TIME and therapeutic strategies that explicitly target these events in ovarian cancer are discussed. EXPERT OPINION: We highlighted various targeted therapies against TIME in ovarian cancer, including anti-angiogenesis therapies and immune checkpoint inhibitors. While these therapies are in their infancy, they have shown promise in controlling ovarian cancer progression. The use of 'omics' technology is helping in better understanding of TIME in ovarian cancer and potentially identifying new therapeutic targets. TIME-targeted strategies could account for an additional treatment strategy when treating ovarian cancer.

Natural and synthetic drugs and formulations for intravaginal HPV clearance.

BACKGROUND: Except for a few preventative Human Papillomavirus (HPV) vaccines, there is currently no cure for HPV infection. There are a number of cutting-edge strategies and potent medications or herbal formulations that can be applied topically for early clearance of HPV infection before HPV DNA gets integrated into host cell genome. This is facilitated due to cervical cancer having distinct and well-recognized long precancerous stages. OBJECTIVES: This review aims to outline every possible medication and formulation, both natural and synthetic, that can be applied topically as intravaginal application to help remove HPV infection at an early precancerous stage. RESULTS: Several anti-HPV/HPV clearance compounds and formulations for high-grade lesions are undergoing clinical trials. However, the majority of compounds are still in the early stages of development and require additional research to become viable HPV clearance candidates. Synthetic drugs may be more promising because they may have a more targeted effect; however, they may also have significant adverse effects. On the other hand, natural medications are safer to use. They are less specific, but have minimal to no adverse effects. CONCLUSIONS: This article may serve as a valuable resource of information for managing and preventing precancerous carcinogenic HPV infections. Research could be directed toward developing candidate drugs to make evidence-based decisions about advancing them to clinical trials and, eventually, to the market for potential use in the prevention and control of cervical cancer, which is almost always preventable or even curable if detected early.

Immunoinformatics Strategy to Develop a Novel Universal Multiple Epitope-Based COVID-19 Vaccine.

Currently available COVID vaccines are effective in reducing mortality and severity but do not prevent transmission of the virus or reinfection by the emerging SARS-CoV-2 variants. There is an obvious need for better and longer-lasting effective vaccines for various prevailing strains and the evolving SARS-CoV-2 virus, necessitating the development of a broad-spectrum vaccine that can be used to prevent infection by reducing both the transmission rate and re-infection. During the initial phases of SARS-CoV-2 infection, the nucleocapsid (N) protein is one of the most abundantly expressed proteins. Additionally, it has been identified as the most immunogenic protein of SARS-CoV-2. In this study, state-of-the-art bioinformatics techniques have been exploited to design novel multiple epitope vaccines using conserved regions of N proteins from prevalent strains of SARS-CoV-2 for the prediction of B- and T-cell epitopes. These epitopes were sorted based on their immunogenicity, antigenicity score, and toxicity. The most effective multi-epitope construct with possible immunogenic properties was created using epitope combinations. EAAAK, AAY, and GPGPG were used as linkers to connect epitopes. The developed vaccines have shown positive results in terms of overall population coverage and stimulation of the immune response. Potential expression of the chimeric protein construct was detected after it was cloned into the Pet28a/Cas9-cys vector for expression screening in Escherichia coli. The developed vaccine performed well in computer-based immune response simulation and covered a diverse allelic population worldwide. These computational findings are very encouraging for the further testing of our candidate vaccine, which could eventually aid in the control and prevention of SARS-CoV-2 infections globally.

Evaluation of the Knowledge, Attitudes, and Resulting Behavior Changes in Response to COVID-19 Among Students at the College of Applied Medical Sciences (CAMS), Jazan University, Saudi Arabia.

Background: The emergence of COVID-19 posed a threat to millions of lives worldwide. The pandemic impacts extended to affect people's psychological well-being, resulting in significant behavioural change. This study was designed to assess the knowledge regarding COVID-19 precautions among the College of Applied Medical Science students at Jazan University and to evaluate the general, psychosocial, and behavioral changes due to COVID-19. Methods: This is an observational study targeting 630 undergraduate students randomly selected during January 2020, using stratified random sampling. Data were collected using an online questionnaire. Linear regression models were used to evaluate the predictors of three outcome measures: knowledge, attitudes, and practice scores. Results: Knowledge of COVID-19 revealed that the students with correct answers ranged from 48.9 to 95%. Furthermore, significant gender differences are found regarding shortness of breath, fatigue, persistent chest discomfort, headache, and malaise (p < 0.05). Knowledge scores differed significantly across gender and academic level (p < 0.05) and so does attitude scores (p < 0.05). No significant difference was observed between practice scores according to socio-demographic background (p > 0.05). The linear regression model showed that females had significantly higher knowledge, attitudes, and practice scores (p < 0.05) as well as those within the 21-23 age group and above (p < 0.05). Students residing in urban and semi-urban places had significantly higher scores for knowledge, attitudes, and practice (p < 0.05). Conclusion: The results demonstrated moderate knowledge about COVID-19 among study participants, with significant differences between the responses of males and females and among the urban and rural populations. Outcomes suggest the need for interventions to bridge students' knowledge about COVID-19 and practice gaps. Students were concerned about basic life amenities and the inability to provide for their dear ones regarding behavioral changes.

Targeted Inhibition of Hsp90 in Combination with Metformin Modulates Programmed Cell Death Pathways in A549 Lung Cancer Cells.

The pathophysiology of lung cancer is dependent on the dysregulation in the apoptotic and autophagic pathways. The intricate link between apoptosis and autophagy through shared signaling pathways complicates our understanding of how lung cancer pathophysiology is regulated. As drug resistance is the primary reason behind treatment failure, it is crucial to understand how cancer cells may respond to different therapies and integrate crosstalk between apoptosis and autophagy in response to them, leading to cell death or survival. Thus, in this study, we have tried to evaluate the crosstalk between autophagy and apoptosis in A549 lung cancer cell line that could be modulated by employing a combination therapy of metformin (6 mM), an anti-diabetic drug, with gedunin (12 µM), an Hsp90 inhibitor, to provide insights into the development of new cancer therapeutics. Our results demonstrated that metformin and gedunin were cytotoxic to A549 lung cancer cells. Combination of metformin and gedunin generated ROS and promoted MMP loss and DNA damage. The combination further increased the expression of AMPKα1 and promoted the nuclear localization of AMPKα1/α2. The expression of Hsp90 was downregulated, further decreasing the expression of its clients, EGFR, PIK3CA, AKT1, and AKT3. Inhibition of the EGFR/PI3K/AKT pathway upregulated TP53 and inhibited autophagy. The combination was promoting nuclear localization of p53; however, some cytoplasmic signals were also detected. Further increase in the expression of caspase 9 and caspase 3 was observed. Thus, we concluded that the combination of metformin and gedunin upregulates apoptosis by inhibiting the EGFR/PI3K/AKT pathway and autophagy in A549 lung cancer cells.

Computational modeling of cyanobacterial phytoconstituents against toll-like receptors of skin cancer.

Melanoma is an extremely dangerous disease. The diagnosis and treatment of it may be difficult because of its diversity and complexity. More than 90% of the marine biomass (microflora and microalgae) constitutes the natural biodiversity reserves. TLR-related research developments indicate possible cancer therapeutic possibilities. In addition to its significant function in innate immunity, TLR activation is connected to the start of pyroptosis, apoptosis, or autophagy in malignance cells. For these reasons, TLR agonists are appealing candidates for the production of cancer medications. From the web databases, the ternary structures of the receptors (TLR3 and TLR4) and ligands are extracted. Sixty-nine compounds were subjected to a drug likeness filter, but only twenty-two were screened further for evaluating ADMET criteria, in which only seven compounds satisfied the pharmacological properties. These compounds are further analyzed for docking parameters against TLRs (TLR3 and TLR4) and molecular simulation investigation of the best cluster to evaluate the complex stability. Molecular docking methodology discovered that Scytonmein has a significant binding potential energy of -5.21 and -7.92 kcal/mol against TLR3 and TLR4, respectively, in comparison to the redock co-crystal structure (-3.98 and -4.30 kcal/mol, respectively). The simulation analysis demonstrates the significant stability of the Scytonemin and TLR4 complexes in terms of average RMSD and RMSF compared to the redock complex, while criteria like solvent-accessible surface area (SASA), gyration (Rg) and hydrogen bonding have further supported the significant interaction and stability of the conformations.Communicated by Ramaswamy H. Sarma.

Assessment of key regulatory genes and identification of possible drug targets for Leprosy (Hansen's disease) using network-based approach.

Leprosy is a major health concern and continues to be a source of fear and stigma among people worldwide. Despite remarkable achievements in the treatment, understanding of pathogenesis and transmission, epidemiology of leprosy still remains inadequate. The prolonged incubation period, slow rates of occurrence in those exposed and deceptive clinical presentation pose challenges to develop reliable strategies to stop transmission. Hence, there is a need for improved diagnostics and therapies to prevent mortality caused by leprosy. The objectives of this study are to identify significant genes from protein-protein interactions (PPIs) network of leprosy and to choose the most effective therapeutic targets. Fifty genes related with leprosy were discovered by literature mining. These genes were used to construct a primary network. Leading Eigen Vector method was used to break down the primary network into various sub-networks or communities. It was found that the primary network was divided into many sub-networks at the 6 levels. Seed genes were traced at each level till key regulatory genes were identified. Three seed genes, namely, GNAI3, NOTCH1, and HIF1A, were able to make their way till the final motif stage. These genes along with their interacting partners were considered key regulators of the leprosy network. This study provides leprosy-associated key genes which can lead to improved diagnosis and therapies for leprosy patients.

NADP/H binding nearly doubles the stability of a Mycobacterium drug target: an unfolding study.

Mycobacterium Aspartate beta semialdehyde dehydrogenase (ASADH) was studied using various spectroscopic techniques and size exclusion chromatography to examine the unfolding of free (apo) and NADP/H-bound (holo) forms of ASADH. Non-cooperative guanidinium chloride (GdnHCl)-induced unfolding of the apo ASADH was discovered, and no partially folded intermediate structures were stabilized. On the other hand, it was observed that GdnHCl's unfolding of holoenzyme was a cooperative process without any stable intermediate structure. The native form of holoenzyme is found to be stable against the lower concentration of GdnHCl only (namely up to 1.25 M GdnHCl). The tryptophan environment appears to unfold cooperatively in case of the holoenzyme and is in well coordination with the overall unfolding of the holoenzyme. The presence of NADP/H shows a stabilizing effect on the tryptophan environment as well as on the native NADP/H-bound enzyme. ΔGSolvento values reveal nearly two-fold (∼1.9) conformationally more stable folded holoenzyme compared to its native apo state. The Cm for the apo and holo forms of ASADH are 1.3 and 1.9 M, respectively. Novel drug leads targeting the NADP/H binding domain of ASADH could offer promising drugs against extremely infective Mycobacterium tuberculosis.Communicated by Ramaswamy H. Sarma.

Human Growth Hormone Fragment 176-191 Peptide Enhances the Toxicity of Doxorubicin-Loaded Chitosan Nanoparticles Against MCF-7 Breast Cancer Cells.

Introduction: Numerous drugs with potent toxicity against cancer cells are available for treating malignancies, but therapeutic efficacies are limited due to their inefficient tumor targeting and deleterious effects on non-cancerous tissue. Therefore, two improvements are mandatory for improved chemotherapy 1) novel delivery techniques that can target cancer cells to deliver anticancer drugs and 2) methods to specifically enhance drug efficacy within tumors. The loading of inert drug carriers with anticancer agents and peptides which are able to bind (target) tumor-related proteins to enhance tumor drug accumulation and local cytotoxicity is a most promising approach. Objective: To evaluate the anticancer efficacy of Chitosan nanoparticles loaded with human growth hormone hGH fragment 176-191 peptide plus the clinical chemotherapeutic doxorubicin in comparison with Chitosan loaded with doxorubicin alone. Methods: Two sets of in silico experiments were performed using molecular docking simulations to determine the influence of hGH fragment 176-191 peptide on the anticancer efficacy of doxorubicin 1) the binding affinities of hGH fragment 176-191 peptide to the breast cancer receptors, 2) the effects of hGH fragment 176-191 peptide binding on doxorubicin binding to these same receptors. Further, the influence of hGH fragment 176-191 peptide on the anticancer efficacy of doxorubicin was validated using viability assay in Human MCF-7 breast cancer cells. Results: In silico analysis suggested that addition of the hGH fragment to doxorubicin-loaded Chitosan nanoparticles can enhance doxorubicin binding to multiple breast cancer protein targets, while photon correlation spectroscopy revealed that the synthesized dual-loaded Chitosan nanoparticles possess clinically favorable particle size, polydispersity index, as well as zeta potential. Conclusion: These dual-loaded Chitosan nanoparticles demonstrated greater anti-proliferative activity against a breast cancer cell line (MCF-7) than doxorubicin-loaded Chitosan. This dual-loading strategy may enhance the anticancer potency of doxorubicin and reduce the clinical side effects associated with non-target tissue exposure.

IFN-γ +874 A>T (rs2430561) gene polymorphism and risk of pulmonary tuberculosis: a meta-analysis.

INTRODUCTION: The role of interferon gamma (IFN-γ) +874 A>T (rs2430561) gene polymorphism has been evaluated in different ethnicities with pulmonary tuberculosis (PTB) infection, and inconsistent results have been reported. In this study, a meta-analysis was performed to determine the precise association between IFN-γ +874 A>T gene polymorphism and PTB susceptibility. MATERIAL AND METHODS: A total of 21 studies comprising 4281 confirmed PTB cases and 5186 healthy controls were included in this meta-analysis by searching the PubMed (Medline), EMBASE, and Google Scholar web-databases. RESULTS: We observed reduced risk of PTB in allelic contrast (T vs. A: p = 0.001; OR = 0.818, 95% CI: 0.723-0.926), homozygous (TT vs. AA: p = 0.017; OR = 0.715, 95% CI: 0.543-0.941), heterozygous (AT vs. AA: p = 0.002; OR = 0.782, 95% CI: 0.667-0.917), dominant (TT+AT vs. AA: p = 0.002; OR = 0.768, 95% CI: 0.652-0.906), and recessive (TT vs. AA+AT: p = 0.042; OR = 0.802, 95% CI: 0.649-0.992) genetic models. In ethnicity-wise subgroup analysis, reduced risk of PTB was found in the Caucasian population. However, we did not find an association with any of the genetic models in the Asian population. CONCLUSIONS: In conclusion, the IFN-γ +874 A>T gene polymorphism is significantly associated with reduced risk of PTB, showing a protective effect in the overall and in the Caucasian population. However, this polymorphism is not associated with PTB risk in the Asian population.

Association between Angiotensin-Converting Enzyme- Insertion/Deletion Polymorphism and Diabetes Mellitus-2 in Saudi Population.

OBJECTIVES: The association of angiotensin-converting enzyme (ACE) insertion/deletion (I/D) polymorphism and the development of type 2 diabetes mellitus (T2DM) has been debated vigorously but still remains controversial. Therefore, the current study was designed to determine the possible association between ACE I/D polymorphism and T2DM and hypertension (HTN) in a population of Saudi Arabian participants. METHODS: A total of 143 individuals were recruited for the study, consisting of 74 controls and 69 patients with T2DM. Genotyping was performed via polymerase chain reaction. RESULTS: The genotype frequencies for DD, ID and II in controls were 52.7%, 39.2% and 8.1%, whereas in T2D patients it was 52.2%, 40.6% and 7.2% respectively. The DD frequency was highest out of the three genotypes in both the controls and the T2DM patients. CONCLUSION: There was no significant difference found in the genotype and allele frequencies between cases and controls, suggesting that insertion/deletion polymorphism in the ACE gene may not be associated with an increased susceptibility to type 2 diabetes in our study population.

Tobacco Smoke Carcinogens Induce DNA Repair Machinery Function Loss: Protection by Carbon Nanotubes.

PURPOSE: DNA damage is a continuous process occurring within the cells caused by intrinsic and extrinsic factors, but it gets repaired regularly. If the DNA repair process is faulty, the incidences of damages/mutations can accumulate in cells resulting in cell transformation. It is hypothesized that the negative variations in DNA repair pathways in even at one point viz. genetic, translational or posttranslational stage may fairly be crucial for the beginning and development of carcinogenesis. Therefore, we investigated the potential of tobacco specific nitrosamines (TSNs) related carcinogens to interact with the enzymes involved in DNA repair mechanisms in the current study. METHODS: The derivatives of cigarettes' smoke like NNK and NNAL are very well known and recognized carcinogens. Therefore, almost 120 enzymes playing crucial role in the DNA repair process have been analysed for their reactivity with NNK and NNAL. RESULTS: The molecular docking study helped to screen out,  07 possible DNA repair enzyme targets for NNK, and 12for NNAL. Present study revealed the loss of activity of DNA repair enzymes in the presence of NNK and NNAL, and this accumulation may induce the tendency of DNA damage which can lead the transformation of exposed normal cells in to cancerous cells. This study also demonstrated the protective potential of nanoparticles like SWCNTs/MWCNTs against TSN's induced toxicity; here SWCNT against NNK (-17.16 Kcal/Mol) and MWCNT against NNK -17.01 Kcal/Mol were showing maximum binding affinities than the known biomolecular target of NNK 1UGH (Uracil-DNA glycosylase,-7.82Kcal/Mol). CONCLUSION: CNTs can be applied as chemo-preventive agents against environmental and tobacco induced carcinogens owing to their scavenging potential and warrants for in vivo and in vitro experimental validation of the results obtained from the present study.
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Link between MnSOD Ala16Val (rs4880) polymorphism and asthma risk is insignificant from sequential meta-analysis.

The mitochondrial manganese superoxide dismutase (MnSOD) enzyme protects lungs against oxidative stress by neutralizing the free radical superoxide produced in the respiratory function. This has relevance to asthma. Therefore, it is of interest to describe the potential effect of MnSOD Ala16Val genetic polymorphism to asthma risk. Known data in this context is inconclusive in nature. The possible link between MnSOD Ala16Val polymorphism and asthma is explored using sequence meta-analysis. Data from the pooled analysis of MnSOD Ala16Val polymorphism using five genetic models i.e., allelic (Val vs. Ala: p=0.846; OR=1.033, 95% CI=0.742 to 1.440) is discussed. Homozygous (Val Val vs. Ala Ala: p=0.517; OR=1.307, 95% CI=0.582 to 2.932) and heterozygous (Val Ala vs. Ala Ala: p=0.307; OR=1.138, 95% CI=0.888 to 1.459) data using the described models are documented. Data from the dominant model (Val Val + Val Ala vs. Ala Ala: p=0.301; OR=1.289, 95% CI=0.797 to 2.085) and the recessive model (Val Val vs. Val Ala + Ala Ala: p=0.761; OR=0.924, 95% CI=0.555 to 1.538) analyses for several ethnic subgroups in this context is reported.

Investigation of Precise Molecular Mechanistic Action of Tobacco-Associated Carcinogen `NNK´ Induced Carcinogenesis: A System Biology Approach.

Cancer is the second deadliest disease listed by the WHO. One of the major causes of cancer disease is tobacco and consumption possibly due to its main component, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK). A plethora of studies have been conducted in the past aiming to decipher the association of NNK with other diseases. However, it is strongly linked with cancer development. Despite these studies, a clear molecular mechanism and the impact of NNK on various system-level networks is not known. In the present study, system biology tools were employed to understand the key regulatory mechanisms and the perturbations that will happen in the cellular processes due to NNK. To investigate the system level influence of the carcinogen, NNK rewired protein-protein interaction network (PPIN) was generated from 544 reported proteins drawn out from 1317 articles retrieved from PubMed. The noise was removed from PPIN by the method of modulation. Gene ontology (GO) enrichment was performed on the seed proteins extracted from various modules to find the most affected pathways by the genes/proteins. For the modulation, Molecular COmplex DEtection (MCODE) was used to generate 19 modules containing 115 seed proteins. Further, scrutiny of the targeted biomolecules was done by the graph theory and molecular docking. GO enrichment analysis revealed that mostly cell cycle regulatory proteins were affected by NNK.

A trial sequential meta-analysis of IFN-γ +874 A>T (rs2430561) gene polymorphism and extrapulmonary tuberculosis risk.

Interferon-γ (IFN-γ) plays a crucial role in immunological responses against Mycobacterium tuberculosis (M.tb) infection. The polymorphism at +874 A > T (rs2430561) influences the levels of IFN-γ, which may further influence the susceptibility to extrapulmonary tuberculosis (EPTB). This polymorphism has been investigated with respect to EPTB occurrence in different populations and provided contradictory and conflicting results. This study was performed to meta-statistically analyze the data and draw a more accurate conclusion regarding the association of IFN-γ +874 A > T gene polymorphism and EPTB susceptibility. A quantitative synthesis was executed for the pertinent studies retrieved from online web-databases viz. Google Scholar, PubMed/Medline and EMBASE. The pooled odds ratios (ORs) and confidence intervals (95% CIs) were estimated for all the genetic models by meta-analysis. A total of eight studies were retrieved which included 762 confirmed EPTB cases and 1341 controls. The meta-analysis results revealed reduced association of EPTB in allelic contrast (T vs. A: p = 0.001; OR = 0.668, 95% CI = 0.524 to 0.850), homozygous (TT vs. AA: p = 0.017; OR = 0.450, 95% CI = 0.234 to 0.868), heterozygous (AT vs. AA: p = 0.004; OR = 0.574, 95% CI = 0.395 to 0.835), dominant (TT + AT vs. AA: p = 0.003; OR = 0.536, 95% CI = 0.354 to 0.810) and recessive (TT vs. AA + AT: p = 0.039; OR = 0.662, 95% CI = 0.448 to 0.980) genetic models. Furthermore, re-sampling statistics also revealed reduced risk of EPTB in overall population and Asian subgroup. This meta-analysis concluded that IFN-γ +874 A > T gene polymorphism is meaningfully related with the reduced EPTB risk in overall and Asian population, and further necessitates larger studies to be conducted on this topic in other races.

Computational Outlook of Marine Compounds as Anti-Cancer Representatives Targeting BCL-2 and Survivin.

INTRODUCTION: The regulation of apoptosis via compounds originated from marine organisms signifies a new wave in the field of drug discovery. Marine organisms produce potent compounds as they hold the phenomenal diversity in chemical structures. The main focus of drug development is anticancer therapy. METHODS: Expertise on manifold activities of compounds helps in the discovery of their derivatives for preclinical and clinical experiment that promotes improved activity of compounds for cancer patients. RESULTS: These marine derived compounds stimulate apoptosis in cancer cells by targeting Bcl-2 and Survivin, highlighting the fact that instantaneous targeting of these proteins by novel derivatives results in efficacious and selective killing of cancer cells. CONCLUSION: Our study reports the identification of Aplysin and Haterumaimide J as Bcl-2 inhibitors and Cortistatin A as an inhibitor of survivin protein, from a sequential virtual screening approach.

Molecular Mechanism of Cancer Susceptibility Associated with Fok1 Single Nucleotide Polymorphism of VDR in Relation to Breast Cancer

Breast cancer is the leading cause of death among women worldwide. It is a multi-factorial disease caused by genetic and environmental factors. Vitamin D has been hypothesized to lower the risk of breast cancer via the nuclear vitamin D receptor (VDR). Genetic variants of these vitamin D metabolizing genes may alter the bioavailability of vitamin D, and hence modulate the risk of breast cancer. Materials and Methods: The distribution of Fok1 VDR gene (rs2228570) polymorphism and its association with breast cancer was analysed in a case­control study based on 125 breast cancer patients and 125 healthy females from North Indian population, using PCR-RFLP. An In silico exploration of the probable mechanism of increased risk of breast cancer was performed to investigate the role of single nucleotide polymorphisms (SNPs) in cancer susceptibility. Results: The Fok1 ff genotype was significantly associated with an increased risk of breast cancer (p=0.001; χ2=13.09; OR=16.909; %95 CI=2.20 - 130.11). In silico analysis indicated that SNPs may lead to a loss in affinity of VDR to calcitriol, and may also cause the impairment of normal interaction of liganded VDR with its heterodimeric partner, the retinoid X receptor (RXR), at protein level, thereby affecting target gene transcription. Conclusion: Breast cancer risk and pathogenesis in females can be influenced by SNPs. SNPs in VDR may cause alterations in the major molecular actions of VDR, namely ligand binding, heterodimerization and transactivation. VDRE binding and co-activator recruitment by VDR appear to be functionally inseparable events that affect vitamin D-elicited gene transcription. This indicates that breast cancer risk and pathogenesis in females may be influenced by SNPs.