Fabrication of an affordable and sensitive corticosteroid-binding globulin immunosensor based on electrodeposited gold nanoparticles modified glassy carbon electrode

Herein, we fabricated an ultrasensitive electrochemical immunosensor for the quantitative detection of corticosteroid-binding globulin (CBG). CBG is a protein that regulates glucocorticoid levels and is an important biomarker for inflammation. A decrease in CBG levels is a key biomarker for inflammatory diseases, such as septic shock. To enhance the electrochemical performance and provide a large surface area for anti-CBG immobilization, we functionalized the glassy carbon electrode surface with AuNPs. Electrochemical characterization methods including cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were used to examine the construction of the fabricated immunosensor. The electrochemical signal demonstrated a remarkable sensitivity to the CBG antigen, with a detection range from 0.01 to 100 μg/mL and a limit of detection of 0.012 μg/mL, making it suitable for both clinical and research applications. This label-free immunosensor offers significant advantages, including high sensitivity, low detection limits and excellent selectivity, making it a promising tool for detecting CBG in complex biological samples. Its potential applications include early disease diagnosis, treatment monitoring and studying CBG-related physiological processes.

Identification of Metabolites from Catharanthus roseus Leaves and Stem Extract, and In Vitro and In Silico Antibacterial Activity against Food Pathogens

The plant produced powerful secondary metabolites and showed strong antibacterial activities against food-spoiling bacterial pathogens. The present study aimed to evaluate antibacterial activities and to identify metabolites from the leaves and stems of Catharanthus roseus using NMR spectroscopy. The major metabolites likely to be observed in aqueous extraction were 2,3-butanediol, quinic acids, vindoline, chlorogenic acids, vindolinine, secologanin, and quercetin in the leaf and stem of the Catharanthus roseus. The aqueous extracts from the leaves and stems of this plant have been observed to be most effective against food spoilage bacterial strains, followed by methanol and hexane. However, leaf extract was observed to be most significant in terms of the content and potency of metabolites. The minimum inhibitory concentration (20 µg/mL) and bactericidal concentrations (35 g/mL) of leaf extract were observed to be significant as compared to the ampicillin. Molecular docking showed that chlorogenic acid and vindolinine strongly interacted with the bacterial penicillin-binding protein. The docking energies of chlorogenic acid and vindolinine also indicated that these could be used as food preservatives. Therefore, the observed metabolite could be utilized as a potent antibacterial compound for food preservation or to treat their illness, and further research is needed to perform.

In Silico Insights into the Arsenic Binding Mechanism Deploying Application of Computational Biology-Based Toolsets

An assortment of environmental matrices includes arsenic (As) in its different oxidation states, which is often linked to concerns that pose a threat to public health worldwide. The current difficulty lies in addressing toxicological concerns and achieving sustained detoxification of As. Multiple conventional degradation methods are accessible; however, they are indeed labor-intensive, expensive, and reliant on prolonged laboratory evaluations. Molecular interaction and atomic level degradation mechanisms for enzyme-As exploration are, however, underexplored in those approaches. A feasible approach in this case for tackling this accompanying concern of As might be to cope with undertaking multivalent computational methodologies and tools. This work aimed to provide molecular-level insight into the enzyme-aided As degradation mechanism. AutoDock Vina, CABS-flex 2.0, and Desmond high-performance molecular dynamics simulation (MDS) were utilized in the current investigation to simulate multivalent molecular processes on two protein sets: arsenate reductase (ArsC) and laccase (LAC) corresponding arsenate (ART) and arsenite (AST), which served as model ligands to comprehend binding, conformational, and energy attributes. The structural configurations of both proteins exhibited variability in flexibility and structure framework within the range of 3.5-4.5 Å. The LAC-ART complex exhibited the lowest calculated binding affinity, measuring -5.82 ± 0.01 kcal/mol. Meanwhile, active site residues ILE-200 and HIS-206 were demonstrated to engage in H-bonding with the ART ligand. In contrast to ArsC, the ligand binding affinity of this bound complex was considerably greater. Additional validation of docked complexes was carried out by deploying Desmond MDS of 100 ns to capture protein and ligand conformation behavior. The system achieved stability during the 100 ns simulation run, as confirmed by the average P-L RMSD, which was ∼1 Å. As a preliminary test of the enzyme's ability to catalyze As species, corresponding computational insights might be advantageous for bridging gaps and regulatory consideration.

Computational Approaches to Evaluate the Acetylcholinesterase Binding Interaction with Taxifolin for the Management of Alzheimer's Disease

Acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) are enzymes that break down and reduce the level of the neurotransmitter acetylcholine (ACh). This can cause a variety of cognitive and neurological problems, including Alzheimer's disease. Taxifolin is a natural phytochemical generally found in yew tree bark and has significant pharmacological properties, such as being anti-cancer, anti-inflammatory, and antioxidant. The binding affinity and inhibitory potency of taxifolin to these enzymes were evaluated through molecular docking and molecular dynamics simulations followed by the MMPBSA approach, and the results were significant. Taxifolin's affinity for binding to the AChE-taxifolin complex was -8.85 kcal/mol, with an inhibition constant of 326.70 nM. It was observed to interact through hydrogen bonds. In contrast, the BChE-taxifolin complex binding energy was observed to be -7.42 kcal/mol, and it was significantly nearly equal to the standard inhibitor donepezil. The molecular dynamics and simulation signified the observed interactions of taxifolin with the studied enzymes. The MMPBSA total free energy of binding for AChE-taxifolin was -24.34 kcal/mol, while BChE-taxifolin was -16.14 kcal/mol. The present research suggests that taxifolin has a strong ability to bind and inhibit AChE and BChE and could be used to manage neuron-associated problems; however, further research is required to explore taxifolin's neurological therapeutic potential using animal models of Alzheimer's disease.

New paracetamol hybrids as anticancer and COX-2 inhibitors: Synthesis, biological evaluation and docking studies

Drug repurposing is an emerging field in drug development that has provided many successful drugs. In the current study, paracetamol, a known antipyretic and analgesic agent, was chemically modified to generate paracetamol derivatives as anticancer and anticyclooxygenase-2 (COX-2) agents. Compound 11 bearing a fluoro group was the best cytotoxic candidate with half-maximal inhibitory concentration (IC50 ) values ranging from 1.51 to 6.31 μM and anti-COX-2 activity with IC50  = 0.29 μM, compared to the standard drugs, doxorubicin and celecoxib. The cell cycle and apoptosis studies revealed that compound 11 possesses the ability to induce cell cycle arrest in the S phase and apoptosis in colon Huh-7 cells. These results were strongly supported by docking studies, which showed strong interactions with the amino acids of the COX-2 protein, and in silico pharmacokinetic predictions were found to be favorable for these newly synthesized paracetamol derivatives. It can be concluded that compound 11 could block cell growth and proliferation by inhibiting the COX-2 enzyme in cancer therapy.

Computational Molecular Docking and Simulation-Based Assessment of Anti-Inflammatory Properties of Nyctanthes arbor-tristis Linn Phytochemicals

The leaves, flowers, seeds, and bark of the Nyctanthes arbor-tristis Linn plant have been pharmacologically evaluated to signify the medicinal importance traditionally described for various ailments. We evaluated the anti-inflammatory potentials of 26 natural compounds using AutoDock 4.2 and Molecular Dynamics (MDS) performed with the GROMACS tool. SwissADME evaluated ADME (adsorption, distribution, metabolism, and excretion) parameters. Arb_E and Beta-sito, natural compounds of the plant, showed significant levels of binding affinity against COX-1, COX-2, PDE4, PDE7, IL-17A, IL-17D, TNF-α, IL-1β, prostaglandin E2, and prostaglandin F synthase. The control drug celecoxib exhibited a binding energy of -9.29 kcal/mol, and among the tested compounds, Arb_E was the most significant (docking energy: -10.26 kcal/mol). Beta_sito was also observed with high and considerable docking energy of -8.86 kcal/mol with the COX-2 receptor. COX-2 simulation in the presence of Arb_E and control drug celecoxib, RMSD ranged from 0.15 to 0.25 nm, showing stability until the end of the simulation. Also, MM-PBSA analysis showed that Arb_E bound to COX-2 exhibited the lowest binding energy of -277.602 kJ/mol. Arb_E and Beta_sito showed interesting ADME physico-chemical and drug-like characteristics with significant drug-like effects. Therefore, the studied natural compounds could be potential anti-inflammatory molecules and need further in vitro/in vivo experimentation to develop novel anti-inflammatory drugs.

Cefoperazone targets D-alanyl-D-alanine carboxypeptidase (DAC) to control Morganella morganii-mediated infection: a subtractive genomic and molecular dynamics approach

Morganella morganii is a Gram-negative bacterial pathogen that causes bacteremia, urinary tract infections, intra-abdominal infections, chorioamnionitis, neonatal sepsis, and newborn meningitis. To control this bacterial pathogen a total of 3565 putative proteins targets in Morganella morganii were screened using comparative subtractive analysis of biochemical pathways annotated by the KEGG that did not share any similarities with human proteins. One of the targets, D-alanyl-D-alanine carboxypeptidase DacB [Morganella] was observed to be implicated in the majority of cell wall synthesis pathways, leading to its selection as a novel pharmacological target. The drug that interacted optimally with the identified target was observed to be Cefoperazone (DB01329) with the estimated free energy of binding -8.9 Kcal/mol. During molecular dynamics simulations; it was observed that DB01328-2exb and DB01329-2exb complexes showed similar values as the control FMX-2exb complex near 0.2 nm with better stability. Furthermore, MMPBSA total free energy calculation showed better binding energy than the control complex for DB01329-2exb interaction i.e. -31.50 (±0.93) kcal/mol. Our presented research suggested that D-alanyl-D-alanine carboxypeptidase DacB could be a therapeutic target and cefoperazone could be a promising ligand to inhibit the D-alanyl-D-alanine carboxypeptidase DacB protein of Morganella morganii. To identify prospective therapeutic and vaccine targets in Morganella morganii, this is the first computational and subtractive genomics investigation of various metabolic pathways exploring other therapeutic targets of Morganella morganii. In vitro/in vivo experimental validation of the identified target D-alanyl-D-alanine carboxypeptidase and the design of its inhibitors is suggested to figure out the best dose, the drug's effectiveness, and its toxicity.Communicated by Ramaswamy H. Sarma.

Identification of Natural Compounds of the Apple as Inhibitors against Cholinesterase for the Treatment of Alzheimer's Disease: An In Silico Molecular Docking Simulation and ADMET Study

Alzheimer's disease (AD), the most common type of dementia in older people, causes neurological problems associated with memory and thinking. The key enzymes involved in Alzheimer's disease pathways are acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE). Because of this, there is a lot of interest in finding new AChE inhibitors. Among compounds that are not alkaloids, flavonoids have stood out as good candidates. The apple fruit, Malus domestica (Rosaceae), is second only to cranberries regarding total phenolic compound concentration. Computational tools and biological databases were used to investigate enzymes and natural compounds. Molecular docking techniques were used to analyze the interactions of natural compounds of the apple with enzymes involved in the central nervous system (CNS), acetylcholinesterase, and butyrylcholinesterase, followed by binding affinity calculations using the AutoDock tool. The molecular docking results revealed that CID: 107905 exhibited the best interactions with AChE, with a binding affinity of -12.2 kcal/mol, and CID: 163103561 showed the highest binding affinity with BuChE, i.e., -11.2 kcal/mol. Importantly, it was observed that amino acid residue Trp286 of AChE was involved in hydrogen bond formation, Van Der Walls interactions, and Pi-Sigma/Pi-Pi interactions in the studied complexes. Moreover, the results of the Molecular Dynamics Simulation (MDS) analysis indicated interaction stability. This study shows that CID: 12000657 could be used as an AChE inhibitor and CID: 135398658 as a BuChE inhibitor to treat Alzheimer's disease and other neurological disorders.

Recognition of Differentially Expressed Molecular Signatures and Pathways Associated with COVID-19 Poor Prognosis in Glioblastoma Patients

Glioblastoma (GBM) is a type of brain cancer that is typically very aggressive and difficult to treat. Glioblastoma cases have been reported to have increased during COVID-19. The mechanisms underlying this comorbidity, including genomic interactions, tumor differentiation, immune responses, and host defense, are not completely explained. Therefore, we intended to investigate the differentially expressed shared genes and therapeutic agents which are significant for these conditions by using in silico approaches. Gene expression datasets of GSE68848, GSE169158, and GSE4290 studies were collected and analyzed to identify the DEGs between the diseased and the control samples. Then, the ontology of the genes and the metabolic pathway enrichment analysis were carried out for the classified samples based on expression values. Protein-protein interactions (PPI) map were performed by STRING and fine-tuned by Cytoscape to screen the enriched gene module. In addition, the connectivity map was used for the prediction of potential drugs. As a result, 154 overexpressed and 234 under-expressed genes were identified as common DEGs. These genes were found to be significantly enriched in the pathways involved in viral diseases, NOD-like receptor signaling pathway, the cGMP-PKG signaling pathway, growth hormone synthesis, secretion, and action, the immune system, interferon signaling, and the neuronal system. STAT1, CXCL10, and SAMDL were screened out as the top 03 out of the top 10 most critical genes among the DEGs from the PPI network. AZD-8055, methotrexate, and ruxolitinib were predicted to be the possible agents for the treatment. The current study identified significant key genes, common metabolic signaling networks, and therapeutic agents to improve our perception of the common mechanisms of GBM-COVID-19.

Lysinibacilli: A Biological Factories Intended for Bio-Insecticidal, Bio-Control, and Bioremediation Activities

Microbes are ubiquitous in the biosphere, and their therapeutic and ecological potential is not much more explored and still needs to be explored more. The bacilli are a heterogeneous group of Gram-negative and Gram-positive bacteria. Lysinibacillus are dominantly found as motile, spore-forming, Gram-positive bacilli belonging to phylum Firmicutes and the family Bacillaceae. Lysinibacillus species initially came into light due to their insecticidal and larvicidal properties. Bacillus thuringiensis, a well-known insecticidal Lysinibacillus, can control many insect vectors, including a malarial vector and another, a Plasmodium vector that transmits infectious microbes in humans. Now its potential in the environment as a piece of green machinery for remediation of heavy metal is used. Moreover, some species of Lysinibacillus have antimicrobial potential due to the bacteriocin, peptide antibiotics, and other therapeutic molecules. Thus, this review will explore the biological disease control abilities, food preservative, therapeutic, plant growth-promoting, bioremediation, and entomopathogenic potentials of the genus Lysinibacillus.

Antimicrobial Activity of Graphene-Based Nanocomposites: Synthesis, Characterization, and Their Applications for Human Welfare

Graphene (GN)-related nanomaterials such as graphene oxide, reduced graphene oxide, quantum dots, etc., and their composites have attracted significant interest owing to their efficient antimicrobial properties and thus newer GN-based composites are being readily developed, characterized, and explored for clinical applications by scientists worldwide. The GN offers excellent surface properties, i.e., a large surface area, pH sensitivity, and significant biocompatibility with the biological system. In recent years, GN has found applications in tissue engineering owing to its impressive stiffness, mechanical strength, electrical conductivity, and the ability to innovate in two-dimensional (2D) and three-dimensional (3D) design. It also offers a photothermic effect that potentiates the targeted killing of cells via physicochemical interactions. It is generally synthesized by physical and chemical methods and is characterized by modern and sophisticated analytical techniques such as NMR, Raman spectroscopy, electron microscopy, etc. A lot of reports show the successful conjugation of GN with existing repurposed drugs, which improves their therapeutic efficacy against many microbial infections and also its potential application in drug delivery. Thus, in this review, the antimicrobial potentialities of GN-based nanomaterials, their synthesis, and their toxicities in biological systems are discussed.

Identification of doxorubicin as a potential therapeutic against SARS-CoV-2 (COVID-19) protease: a molecular docking and dynamics simulation studies

After one year, the COVID-19 pandemic caused by SARS-CoV-2 is still the largest concern for the scientific community. Of the many recognized drug targets of SARS-CoV-2, the main protease is one of the most important target due to its function in viral replication. We conducted an in silico study with repurposing drugs of antibiotics class against virus protease and peptidase using AutoDock tool. The following significant binding energy interaction was observed with protease (PDB: 6LU7) like piperacillin -7.25; tobramycin -9.20 and doxorubicin (Doxo) -10.04 kcal/mol and with peptidase (PDB: 2GTB) piperacillin -7.08; tobramycin -8.54 and Doxo -9.89 kcal/mol. Furthermore, the interaction and stability behavior of the Doxo-protease and Doxo-peptidase complexes were analyzed for a 100-nanosecond (ns) time. Calculated RMSD values observed using molecular dynamics simulation (MDS) were found to be 0.15-0.25 nm, RMSF calculation per residues showed a value near 0.2 nm and Rg values remained approximately 2.25 nm. MM-PBSA analysis of total binding energy calculation of Doxo-protease and Doxo-peptidase complexes are found to be -148.692 and -105.367 kJ/mol, respectively. Moreover, amino acid residue ASP-197 showed the lowest contribution binding energy i.e. -18.1185 kJ/mol, and amino acid residue ASP-187 showed -17.0267 kJ/mol contribution energy. Thus, significant docking interaction and stable dynamicity of Doxo-protease complex with time was suggested that Doxo could be a choice to inhibit potentially the viral proteases that could prevent the entry inside the host cell to control the COVID-19 disease. Communicated by Ramaswamy H. Sarma.

Combining plasma extracellular vesicle Let-7b-5p, miR-184 and circulating miR-22-3p levels for NSCLC diagnosis and drug resistance prediction

Low-dose computed tomography (LDCT) Non-Small Cell Lung (NSCLC) screening is associated with high false-positive rates, leading to unnecessary expensive and invasive follow ups. There is a need for minimally invasive approaches to improve the accuracy of NSCLC diagnosis. In addition, NSCLC patients harboring sensitizing mutations in epidermal growth factor receptor EGFR (T790M, L578R) are treated with Osimertinib, a potent tyrosine kinase inhibitor (TKI). However, nearly all patients develop TKI resistance. The underlying mechanisms are not fully understood. Plasma extracellular vesicle (EV) and circulating microRNA (miRNA) have been proposed as biomarkers for cancer screening and to inform treatment decisions. However, the identification of highly sensitive and broadly predictive core miRNA signatures remains a challenge. Also, how these systemic and diverse miRNAs impact cancer drug response is not well understood. Using an integrative approach, we examined plasma EV and circulating miRNA isolated from NSCLC patients versus screening controls with a similar risk profile. We found that combining EV (Hsa-miR-184, Let-7b-5p) and circulating (Hsa-miR-22-3p) miRNAs abundance robustly discriminates between NSCLC patients and high-risk cancer-free controls. Further, we found that Hsa-miR-22-3p, Hsa-miR-184, and Let-7b-5p functionally converge on WNT/βcatenin and mTOR/AKT signaling axes, known cancer therapy resistance signals. Targeting Hsa-miR-22-3p and Hsa-miR-184 desensitized EGFR-mutated (T790M, L578R) NSCLC cells to Osimertinib. These findings suggest that the expression levels of circulating hsa-miR-22-3p combined with EV hsa-miR-184 and Let-7b-5p levels potentially define a core biomarker signature for improving the accuracy of NSCLC diagnosis. Importantly, these biomarkers have the potential to enable prospective identification of patients who are at risk of responding poorly to Osimertinib alone but likely to benefit from Osimertinib/AKT blockade combination treatments.

Methyltransferase as Antibiotics Against Foodborne Pathogens: An In Silico Approach for Exploring Enzyme as Enzymobiotics

The development of resistance in microbes against antibiotics and limited choice for the use of chemical preservatives in food lead the urgent need to search for an alternative to antibiotics. The enzymes are catalytic proteins that catalyze digestion of bacterial cell walls and protein requirements for the survival of the cell. To study methyltransferase as antibiotics against foodborne pathogen, the methyltransferase enzyme sequence was modeled and its interactions were analyzed against a membrane protein of the gram-positive and gram-negative bacteria through in silico protein-protein interactions. The methyltransferase interaction with cellular protein was found to be maximum, due to the maximum PatchDock Score (15808), which was followed by colicin (12864) and amoxicillin (4122). The modeled protein has found to be interact more significantly to inhibit the indicator bacteria than the tested antibiotics and antimicrobial colicin protein. Thus, model enzyme methyltransferase could be used as enzymobiotics. Moreover, peptide sequences similar to this enzyme sequence need to be designed and evaluated against the microbial pathogen.

Therapeutic development by repurposing drugs targeting SARS-CoV-2 spike protein interactions by simulation studies

The human-to-human transmitted respiratory illness in COVID-19 affected by the pathogenic Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2), which appeared in the last of December 2019 in Wuhan, China, and rapidly spread in many countries. Thereon, based on the urgent need for therapeutic molecules, we conducted in silico based docking and simulation molecular interaction studies on repurposing drugs, targeting SARS-CoV-2 spike protein. Further, the best binding energy of doxorubicin interacting with virus spike protein (PDB: 6VYB) was observed to be -6.38 kcal/mol and it was followed by exemestane and gatifloxacin. The molecular simulation dynamics analysis of doxorubicin, Reference Mean Square Deviation (RMSD), Root Mean Square fluctuation (RMSF), Radius of Gyration (Rg), and formation of hydrogen bonds plot interpretation suggested, a significant deviation and fluctuation of Doxorubicin-Spike RBD complex during the whole simulation period. The Rg analysis has stated that the Doxorubicin-Spike RBD complex was stable during 15,000-35,000 ps MDS. The results have suggested that doxorubicin could inhibit the virus spike protein and prevent the access of the SARS-CoV-2 to the host cell. Thus, in-vitro/in-vivo research on these drugs could be advantageous to evaluate significant molecules that control the COVID-19 disease.

Cardiovascular Complications in COVID-19 Pandemic and Its Management

Pneumonia like the pandemic COVID-19 is a virus disease, first time came into light in December 2019 in the Wuhan city of China.  As of today, more than two million deaths from more than 210 countries have been confirmed. This disease has modeled a great threat to human mental health, physical health, and forcefully stuck the routine life with psychosocial consequences globally. The COVID-19 disease is caused by SARS-CoV-2 which leads to acute respiratory distress. The pathogenesis of the disease started from virus entry to the host cell where it controlled the cellular system of the patient directly or indirectly. Population having cardiovascular, immunosuppressive, AIDS, and diabetes-like complications are thought to be very risky for mortality caused by the SARS-CoV-2 virus. The correlation to Noncommunicable diseases like cardiovascular disorders and diabetes has led our attention towards the management of these diseases in the corona outbreak. Thus, this review aimed to better understand the threats modeled by the disease COVID-19 to the cardiovascular system, and the medical community should share their experiences promptly. It is concluded that both published research and real-time experiences shared on social media by world experts will act as a valuable tool and will help to learn more about this disease. Several preventive and therapeutic measures including drug therapy are suggested to manage the disease in comorbidities conditions.

Level of Awareness among Staff and Students of Academic Institutions towards COVID-19 in India

Aim: The conducted survey aims to assess the level of COVID-19 awareness among staff and students of medical and non-medical academic institutions in India. Methods: The survey was conducted online by consenting students and staff from 02 April-2020 to 16 July 2020, participants completed and submitted COVID-19 questionnaire. A total of 300 participants responded by taking the self-administered questionnaire. Results: Of 300 participants, almost 83.45% had good knowledge that the disease is contagious; 99% observe acceptable practices regarding COVID-19 and (83%) majority seek knowledge from social media. Learning about symptoms of COVID-19 and its spread was marginally higher (p<0.05) among medical participants as compared to non-medical participants. Awareness about the preventive measures was insignificant (p<0.063) between medical and non-medical respondents. The responses collected for treatment options were also negligible though 83% believe that there is a treatment vaccine and medicine available. Mention single percentage from all participants or mention separate for medical and non medical institutions. Conclusion:  The study concluded that academic institutions had good knowledge and awareness towards COVID-19 symptoms and its prevention though there are gaps in specific aspects of knowledge, prevention practices and treatments that should be addressed in future awareness and educational campaigns. The study recommends the ministry of health and family welfare to promote all precautionary and preventive measures of COVID-19 consisting of a well-organized approach to include students, institutions and society: including under privileged, geriatric and people with limited information, in order to effectively implement these precautionary and awareness measures.

pH and alcohol induced structural transition in Ntf2 a nuclear transport factor of Saccharomyces cerevisiae

Ntf2 is a nuclear envelope protein, which play a pivotal role in nucleocytoplasmic transport and mediates the nuclear import of RanGDP. It interacts with various nucleoporins along with Ran-GDP and part of a multicomponent system that assembles at the nuclear pore complex (NCP) during nuclear import. Here, we have described the biophysical characterization of Ntf2 from Saccharomyces cerevisiae. Recombinant Ntf2 showed increment in the β-sheet content as well as decrement in the α-helix content from pH-7.0 to pH-4.0. A subsequent decrease in the pH led to increment in the α-helical content along with decrement in β-sheet content. Intrinsic fluorescence studies demonstrated the unfolding of the protein below physiological pH. Ntf2 showed stabilization as well as phenomenal phase transition (β sheet to α helix) by increase in alcohol concentration from 10% to 70%. Further increase in alcohol concentration (90%) resulted in residual secondary structure in Ntf2 protein. Presence of ammonium sulfate also stabilizes the secondary structure of Ntf2 protein. The structural characterization reveals the flexibility and the stability of Ntf2 at various conditions. These structural alterations in Ntf2 protein probably occurs in the course of nucleocytoplasmic transport when it interacts with other proteins moving towards its final destination.

Prospective of extracellular matrix and drug correlations in disease management

The extracellular matrix (ECM) comprises of many structural molecules that constitute the extracellular environment. ECM molecules are characterized by specific features like diversity, complexity and signaling, which are also results of improvement or development of disease mediated by some physiological changes. Several drugs have also been used to manage diseases and they have been reported to modulate ECM assembly, including physiological changes, beyond their primary targets and ECM metabolism. This review highlights the alteration of ECM environment for diseases and effect of different classes of drugs like nonsteroidal anti-inflammatory drugs, immune suppressant drug, steroids on ECM or its components. Thus, it is summarized from previously conducted researches that diseases can be managed by targeting specific components of ECM which are involved in the pathophysiology of diseases. Moreover, the drug delivery focused on targeting the ECM components also has the potential for the discovery of targeted and site specific release of drugs. Therefore, ECM or its components could be future targets for the development of new drugs for controlling various disease conditions including neurodegenerative diseases and cancers.

A Molecular Docking Study against COVID-19 Protease with a Pomegranate Phyto-Constituents 'Urolithin' and Other Repurposing Drugs: From a Supplement to Ailment

Aim: We conducted an in silico study on Urolithin and different antimicrobial agents targeting virus protease and peptidase. Methodology: The docking study was completed by using docking tools. Drug compounds and COVID-19 receptor molecules were prepared, docking was performed and interaction was visualized through Discovery Studio visualizer. Results: Urolithin A has interacted against peptidase (PDB ID:2GTB) with binding energy -6.93 kcal/mol and against protease (PDB ID:6LU7) with  the binding energy -5.46 kcal/mol, while Urolithin B has interacted to peptidase (PDB ID:2GTB)  with binding energy -6.74 kcal/mol  and with protease it interacted with a binding energy -4.67 kcal/mol. The antimicrobial agent Ofloxacin was found to interact against protease (PDB ID:6LU7) with a binding energy -6.84 kcal/mol and  against protease (PDB:6LU7)  with a binding energy -8.00 kcal/mol. Conclusion: The most common interacting amino acids of target enzymes of the virus with studied drugs were His41, His164, Met165, Glu166, Gln189. From the docking studies, it is observed that Ofloxacin and Urolithin have the potential to inhibit the virus protease as well as peptidase significantly and these could prevent the entry of the virus to the inside of the host cell. Thus, further antiviral research on these antimicrobial agents and Urolithin could be helpful to control the COVID-19 disease.

Moringa oleifera methanolic leaves extract induces apoptosis and G0/G1 cell cycle arrest via downregulation of Hedgehog Signaling Pathway in human prostate PC-3 cancer cells

The inadequacy of effective treatment approaches for prostate cancer enlightens the crucial necessity for the search and emergence of novel and multitasking anticancer substances. Several experimental studies suggested the role of natural compounds in prostate cancer growth inhibition by Hedgehog signaling modulation. In the current study, we suggested the anticancer and apoptosis inducing effects of Moringa oleifera (M. oleifera) were linked to downregulation of Hedgehog pathway in PC-3 prostate cancer cells. We found that M. oleifera leaves methanolic extract exhibited significant anticancerous potential by inducing ROS-mediated apoptosis and activation of caspase-3 activity in prostate cancer. We also observed a dose-dependent G0/G1 cell cycle arrest as well as significant alteration in mRNA expression of apoptosis related and Hedgehog signaling pathway genes by M. oleifera extract treatment. Altogether, these experimental findings demonstrated that M. oleifera may exert antiproliferative apoptosis inducing effects by Hedgehog signaling pathway downregulation. PRACTICAL APPLICATIONS: Moringa oleifera plant, a rich nutrional source, has extensive range of pharmacological applications including antioxidant, anti-inflammatory, and anticancer activity. To best of our knowledge, this could be the first intensive report which presented the inhibitory potential of M. oleifera leaves extract against PC-3 prostate cancer cells via targeting key molecules of Hedgehog signaling. Decreased mRNA expression of GLI1 transcription factor and SMO protein of Hedgehog signaling pathway may be involved in antiproliferative effects of M. oleifera leaves extract against prostate cancer cells. Our study suggested that M. oleifera supplementation might be beneficial for the development and improvement of targeted therapeutic strategies in prostate cancer cells.

Exploration of Binding Interaction of Steroidal Drugs with HMG-CoA Reductase for the Treatment of Breast Cancer Patients who suffer with Cardiovascular Problems: In-silico Studies

Introduction: HMG-CoA reductase is widely used as a significant target to screen cardiovascular therapeutics molecules because of its involvement in cholesterol synthesis and cell proliferation. Steroidal drugs like anastrozole, exemestane, letrozole have been tested as potential inhibitors of cancer mediated aromatase enzyme and these could be inhibited to HMG-CoA reductase so that the link with cholesterol synthesis and cell proliferation can be utilized to control cancers in. Objective: To test the binding affinity and binding patterns using computational methods of these drugs and established them as a HMG-CoA reductase inhibitor due to the involvement of this enzyme with cholesterol synthesis and cell proliferation can be utilized to control the cancers. Materials and methods: Freely available docking tools like AutoDock and web resources like DrugBank and PDB were used to extract data and conduct the study. Results: The binding interaction of exemestane has shown significant docking interactions which are followed by anastrozole and letrozole. Exemestane has shown binding energy -8.74 kcal/mol, hydrogen bond length: 1.97513 Å, and interacting amino acid was analyzed as A: ASN658:HD21-: UNK1: O6. The positive control statin was used in this study has shown significant binding interaction but it was less than tested exemestane.Conclusion: Thus, exemestane can potentially inhibit to HMG-CoA reductase enzyme even stronger than the clinically tested drug statin and would be a good choice for cancer patients. Thus, in vitro laboratory experimentation and in vivo research are necessary to put forward therapeutic repositioning of these drugs so they could be established as a broad spectrum potential anticancer drugs including breast cancer especially for the patient with cardiovascular complications.  

Nutritive vitamins as epidrugs

Epigenetic modifications play an important role in disease pathogenesis and therefore are a focus of intense investigation. Epigenetic changes include DNA, RNA, and histone modifications along with expression of non-coding RNAs. Various factors such as environment, diet, and lifestyle can influence the epigenome. Dietary nutrients like vitamins can regulate both physiological and pathological processes through their direct impact on epigenome. Vitamin A acts as a major regulator of above-mentioned epigenetic mechanisms. B group vitamins including biotin, niacin, and pantothenic acid also participate in modulation of various epigenome. Further, vitamin C has shown to modulate both DNA methylation and histone modifications while few reports have also supported its role in miRNA-mediated pathways. Similarly, vitamin D also influences various epigenetic modifications of both DNA and histone by controlling the regulatory mechanisms. Despite the information that vitamins can modulate the epigenome, the detailed mechanisms of vitamin-mediated epigenetic regulations have not been explored fully and hence further detailed studies are required to decipher their role at epigenome level in both normal and disease pathogenesis. The current review summarizes the available literature on the role of vitamins as epigenetic modifier and highlights the key evidences for developing vitamins as potential epidrugs.

Prospective of nanoscale metal organic frameworks [NMOFs] for cancer therapy

Nano metal organic frameworks (NMOFs) belong to the group of nanoporous materials. Over the decades, the conducted researches explored the area for the potential applications of NMOFs in areas like biomedical, chemical engineering and materials science. Recently, NMOFs have been explored for their potential use in cancer diagnosis and therapeutics. The excellent physico-chemical features of NMOFs also make them a potential candiadate to facilitate drug design, delivery and storage against cancer cells. In this review, we have explored the characterstic features, synthesis methods, NMOFs based drug delivery, diagnosis and imaging in various cancer types. In addition to this, we have also pondered on the stability and toxicological concerns of NMOFs. Despite, a significant research has been done for the potential use of NMOFs in cancer diagonostic and therapeutics, more information regarding the stability, in-vivo clearance, toxicology, and pharmacokinetics is still needed to ehnace the use of NMOFs in cancer diagonostic and therapeutics.

Magnetic Nanoparticles: Properties, Synthesis and Biomedical Applications

Importance of magnetic nanoparticles in daily life including biomedical applications in near future cannot be overlooked. This review focuses on the properties of magnetic nanoparticles (MNPs), various approaches for their synthesis, and their biomedical applications. First part of this review focuses on the classes, physical properties, and characteristics of MNPs. The second part sheds light on strategies developed for the synthesis of MNPs, with special attention given to biological, physical, and chemical approaches as well as recent modifications in the preparation of monodispersed samples. Furthermore, this review deals with the biomedical applications of MNPs, which includes applications in targeted drug delivery, diagnostics, gene therapy, hyperthermia and advantages in the field of medicine.

Random blinded rechecking of AFB smears in a pilot project at an intermediate reference laboratory

BACKGROUND

In most developing countries, sputum smear microscopy for acid-fast bacilli remains the front line and often the only diagnostic tool for the diagnosis of tuberculosis (TB), making quality assurance of smear microscopy an important activity.

OBJECTIVE

To evaluate the results of a pilot study, where the random blinded rechecking for the entire state of Delhi was conducted at a reference laboratory.

METHODOLOGY

Slides from 25 Revised National Tuberculosis Control Programme designated districts (200 peripheral microscopy centres) in Delhi were re-read after proper coding by all the Senior Tuberculosis Laboratory Supervisors (STLS) at an intermediate reference laboratory under proper supervision.

RESULTS

Of 12,162 re-read slides, 204 discrepant results were found. Of these, 150 (73.5%) errors were attributed to the peripheral microscopy centres and 54 (26.5%) to STLS. High false-positive errors were observed at a frequency of 12/150 (8%), and high false-negative errors at a frequency of 38/150 (25%). Minor errors, i.e., low false-negative, low false-positive and quantification errors, were observed at frequencies of respectively 68/150 (45.3%), 17/150 (11.3%) and 15/150 (10.0%).

CONCLUSION

Greater stringency in the supervision of random blinded rechecking at the district level is essential to make smear rechecking more efficient and effective.

Therapeutic intervention and molecular characterizations of bacteriocin producing Lysinibacillus sp., nov., isolated from food sample

Many bacteriocins from Lactobacilli have been reported as immunostimulatory, preservatives, anticancerous and biocontroling. However, antimicrobial potential of Lysinibacillus is not much reported. In this study, an attempt was made to isolate and anticipate therapeutic potential of Lysinibacillus from spoiled food sample. We screened 125 Lactobacilli for their antagonistic nature against food borne and disease causing bacterial and fungal pathogens. Among them, one Bacillus was phenotypically, and 16S rRNA based, molecularly identified as Lysinibacillus species given with accession numbers JX416855 in NCBI. The type strain JX416855 has shown the 99% identity with the Lysinibacillus fusiformis, Lysinibacillus sphaericus and Lysinibacillus xylanilyticus. It was amylase, protease, gelatinase, nitrate reductase and urease negative and catalase positive. The growth conditions and bacteriocin activity were found optimum with MRS media at pH 7-10, Temp-35-40°C and salt tolerance at 1-3% which was optimized with MRS broth at pH 7.4, 37 °C, 1.5% NaCl for 48 h in shaking conditions @ 100 rpm. The isolate showed broad-spectrum antibacterial activity against gram positive (10-13 mm) and gram-negative (20mm) bacteria. It also strongly inhibited to fungus Aspergillus, Fusarium and Trichoderma. Bacteriocin from 60% ammonium sulphate fraction strongly inhibited to gram-negative R. planticola and Pseudomonas aeruginosa, which showed three protein bands of high molecular weight (nearly 40-70 kD) by SDS-PAGE analysis.

Protease characteristics of bacteriocin producing Lysinibacilli, isolated from fruits and vegetable waste

This study describes the physical stability and optimization of nutrient components for an extracellular protease produced by Bacillus strains isolated from fruits and vegetable waste, Lucknow, India. The isolated proteases could hydrolyze various native proteinaceous substrates such as bovine serum albumin, casein, skim milk, but not the gelatin. The strain JX416854 and isolate 10 yielded maximum protease (831; 703 U/ml) under optimized conditions: Nutrient, Casein broth; pH 7.0; shaking condition 37°C for 36 h. Crude protease exhibited activity over a wide range of pH (6.0-10.0) and found to be stable at (10-70°C), pH stable at 7- 9.0. The significant protease activity was observed with divalent cations Ca2+ and Mg2+ and EDTA. Further, significant blood destaining properties and stabilities with detergents were also observed. Thus, the significant potency and stability of these enzymes indicated their industrial importance and could be an alternative protease for various industrial applications.