A Comprehensive Review of Capsaicin and Its Role in Cancer Prevention and Treatment.

This study examines the fundamental chemical mechanisms responsible for capsaicin's advantageous impact on cancer, specifically investigating its influence on several biological processes such as inflammation in cancer metastasis, apoptosis, angiogenesis, and cellular proliferation. This entity's connections with other signaling pathways, including PI3K/AKT, NF-B, and TRPV channels, which have been linked to tumor growth, are thoroughly examined in this work. This study presents a thorough analysis of preclinical studies and clinical trials investigating the efficacy of capsaicin in treating many forms of cancer, such as breast, prostate, colorectal, pancreatic, and others. Through tests conducted in both live organisms and laboratory settings, it has been determined that capsaicin has the ability to inhibit tumor growth and induce apoptosis in cancer cells. (in vitro and in vivo). Researchers have also looked at the results of combining capsaicin with chemotherapy medications in traditional treatment. The efficacy and bioavailability of capsaicin as a viable medicinal drug are being studied, along with ways to improve its clinical value. The present investigation carefully assesses the challenges and potential options for maximizing the therapeutic benefits of capsaicin, including customized drug delivery and personalized therapeutic strategies. In finalization, this comprehensive investigation brings together the evidence currently obtainable on the anticancer properties of capsaicin, underscoring its potential as an autonomous treatment option in the struggle against cancer. Capsaicin is a compound of significant relevance for continuing research and clinical exploration in the field of cancer treatment due to its diverse mechanisms of action and ability for boosting prevailing therapy approaches.

Elucidating the role of phytocompounds from Brassica oleracea var. italic (Broccoli) on hyperthyroidism: an in-silico approach.

Thyroid hormone (TH) plays a crucial role in regulating the metabolism in every cell and all organs in of the human body. TH also control the rate of calorie burning, body weight, and function of the heartbeat. Therefore, the aim of the present study is to investigate the role of phytocompounds from Brassica oleracea var. italic (Broccoli) against irregularities of TH biosynthesis (hyperthyroidism) through in silico molecular modelling. Initially, the genetic network was built with graph theoretical network analysis to find the right target to control excessive TH production. Based on the network analysis, the three-dimensional crystal structure of the mammalian enzyme lactoperoxidase (PDB id: 5ff1) was retrieved from the protein data bank (PDB), and the active site was predicted using BIOVIA Discovery studio. Sixty-three phytocompounds were selected from the IMPPAT database and other literature. Selected sixty-six phytocompounds were docked against lactoperoxidase enzyme and compared with the standard drug methimazole. Based on the docking scores and binding energies, the top three compounds, namely brassicoside (- 10.00 kcal × mol-1), 24-methylene-25-methylcholesterol (- 9.50 kcal × mol-1), 5-dehydroavenasterol (- 9.40 kcal × mol-1) along with standard drug methimazole (- 4.10 kcal × mol-1) were selected for further ADMET and molecular dynamics simulation analysis. The top-scored compounds were for their properties such as ADMET, physicochemical and drug-likeness. The molecular dynamics simulation analyses proved the stability of lactoperoxidase-ligand complexes. The intermolecular interaction assessed by the dynamic conditions paved the way to discover the bioactive compounds brassicoside, 24-methylene-25-methylcholesterol, and 5-dehydroavenasterol prevent the excessive production of thyroid hormones. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-023-00180-2.

Optimization of ultrasound-aided extraction of bioactive ingredients from Vitis vinifera seeds using RSM and ANFIS modeling with machine learning algorithm.

Plant materials are a rich source of polyphenolic compounds with interesting health-beneficial effects. The present study aimed to determine the optimized condition for maximum extraction of polyphenols from grape seeds through RSM (response surface methodology), ANFIS (adaptive neuro-fuzzy inference system), and machine learning (ML) algorithm models. Effect of five independent variables and their ranges, particle size (X1: 0.5-1 mm), methanol concentration (X2: 60-70% in distilled water), ultrasound exposure time (X3: 18-28 min), temperature (X4: 35-45 °C), and ultrasound intensity (X5: 65-75 W cm-2) at five levels (- 2, - 1, 0, + 1, and + 2) concerning dependent variables, total phenolic content (y1; TPC), total flavonoid content (y2; TFC), 2, 2-diphenyl-1-picrylhydrazyl free radicals scavenging (y3; %DPPH*sc), 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) free radicals scavenging (y4; %ABTS*sc) and Ferric ion reducing antioxidant potential (y5; FRAP) were selected. The optimized condition was observed at X1 = 0.155 mm, X2 = 65% methanol in water, X3 = 23 min ultrasound exposure time, X4 = 40 °C, and X5 = 70 W cm-2 ultrasound intensity. Under this situation, the optimal yields of TPC, TFC, and antioxidant scavenging potential were achieved to be 670.32 mg GAE/g, 451.45 mg RE/g, 81.23% DPPH*sc, 77.39% ABTS*sc and 71.55 µg mol (Fe(II))/g FRAP. This optimal condition yielded equal experimental and expected values. A well-fitted quadratic model was recommended. Furthermore, the validated extraction parameters were optimized and compared using the ANFIS and random forest regressor-ML algorithm. Gas chromatography-mass spectroscopy (GC-MS) and liquid chromatography-mass spectroscopy (LC-MS) analyses were performed to find the existence of the bioactive compounds in the optimized extract.

Optimization of ultrasound-assisted extraction of bioactive chemicals from Hemidesmus indicus (L.) R.Br. using response surface methodology and adaptive neuro-fuzzy inference system.

This study was designed to optimize the ultrasound-assisted extraction (UAE) of bioactive chemicals from Hemidesmus indicus (L.) R.Br. through RSM (response surface methodology) and ANFIS (adaptive neuro-fuzzy inference system). The effect of four independent parameters, methanol concentration (X1: 55-65%), temperature (X2: 30-40 °C), time (X3: 15-20 min) and particle size (X4: 0.5-1.00 mm) at five levels (- 2 ,- 1, 0, + 1, + 2) with respect to dependent parameters, total polyphenols content (TP) (y1), total flavonoids content (TF) (y2), %DPPHsc (y3), %ABTSsc (y4) and %H2O2sc (y5) were selected. The optimal extraction condition was observed at X1 = 65%, X2 = 40 °C, X3 = 20 min and X4 = 0.5 mm; under this circumstance, y1 = 352.85 mg gallic acid equivalents (GA)/g, y2 = 300.204 mg rutin equivalents (RU)/g and their antioxidant potentials (y3 = 81.33%, y4 = 65.04%, and y5 = 71.01%) has been attained. ANFIS was used to compare and confirm the optimized extraction parameter values. Further, GC-MS and LC-MS were performed to investigate the bioactive chemicals present in the optimized extract. Supplementary Information: The online version contains supplementary material available at 10.1007/s10068-023-01351-9.

Mimosa pudica Linn. extract improves aphrodisiac performance in diabetes-induced male Wister rats.

Male sexual dysfunction is considered one of the major consequences of diabetes mellitus. The medicinal plant, Mimosa pudica Linn. is believed to have numerous therapeutic effects, including anti-diabetic, anti-obesity, aphrodisiac, and a sexual behaviour-enhancing properties. In the present study, the significant effect of ethanolic extract of M. pudica L. to scavenge excessive free radicals and alleviate the deleterious effects of alloxan-induced diabetes on the male sexual system of rats was demonstrated. The rats treated with the M. pudica L. extract recovered their body weight, the weight of their reproductive organs, the characteristics of the sperm and the histocellular arrangement of the testes. In addition, significant levels of hormones (testosterone, follicle-stimulating hormone and luteinising hormone) increased in both serum and testicular homogenates of male diabetic rats treated with M. pudica L. extract. Further, antioxidant enzymes, SOD, CAT, GSH, and GPx levels are increased, and oxidative stress markers MDA and ROS are reduced in both serum and testicular homogenates of M. pudica L. extract treated male rats. Furthermore, an in silico molecular docking study was performed to predict high potential compounds of M. pudica L. extract against the PDE5 receptor. Two bioactive compounds, namely 3-Dibenzofuranamine (-11.1 kcal × mol-1), Stigmasta-7,16-dien-3-ol (-10.4 kcal × mol-1) showed the highest binding affinities with PDE5 enzyme, much higher than the reference drug sildenafil (-9.9 kcal × mol-1). According to these findings, bioactive compounds rich in ethanolic extract of M. pudica L. have significant aphrodisiac performance in diabetic rats.Communicated by Ramaswamy H. Sarma.

A Review of PARP-1 Inhibitors: Assessing Emerging Prospects and Tailoring Therapeutic Strategies.

Eukaryotic organisms contain an enzyme family called poly (ADP-ribose) polymerases (PARPs), which is responsible for the poly (ADP-ribosylation) of DNA-binding proteins. PARPs are members of the cell signaling enzyme class. PARP-1, the most common isoform of the PARP family, is responsible for more than 90% of the tasks carried out by the PARP family as a whole. A superfamily consisting of 18 PARPs has been found. In order to synthesize polymers of ADP-ribose (PAR) and nicotinamide, the DNA damage nick monitor PARP-1 requires NAD+ as a substrate. The capability of PARP-1 activation to boost the transcription of proinflammatory genes, its ability to deplete cellular energy pools, which leads to cell malfunction and necrosis, and its involvement as a component in the process of DNA repair are the three consequences of PARP-1 activation that are of particular significance in the process of developing new drugs. As a result, the pharmacological reduction of PARP-1 may result in an increase in the cytotoxicity toward cancer cells.

Pharmacoinformatics-based identification of phytochemicals from Solanum torvum Swartz. fruits as potential inhibitors for MAPK14 protein.

Plants and phytocompounds gained more attention because of their unrivalled variety of chemical diversity. In this view, the present study was executed to predict the anticancer potential of Solanum torvum Swartz. fruits derived phytocompounds against one of the breast cancer target proteins (MAPK14, PDB ID: 5ETA, resolution: 2.80 Å) through pharmacoinformatics-based screening and molecular dynamics simulation tools. Initially, a graph theoretical network approach was used to visualize the genes, enzymes, and proteins involved in the signalling pathway of breast cancer and identify the significant target protein (MAPK14). A total of thirty-three active compounds were selected from S. torvum sw. through the IMPPAT database, and their structures were drawn by Chemsketch software. The drug-like behaviours of the compounds were assessed through pharmacokinetics and physicochemical characterization studies. Five compounds, namely chlorogenin (-10.90 kcal × mol-1), corosolic acid (-10.80 kcal × mol-1), solaspigenin (-10.80 kcal × mol-1), paniculogenin (-10.70 kcal × mol-1), spirostane-3,6-dione (-10.70 kcal × mol-1) exhibited top binding score against MAPK14, these are higher than that of the standard drug (Doxorubicin) (-8.60 kcal × mol-1). Additionally, the five top-binding compounds revealed better drug-likeness traits and the lowest toxicity profiles. MD simulation studies confirmed the stability of the top five scored compounds with the MAPK14 binding pockets. According to these findings, the selected five compounds might be used as significant MAPK14 inhibitors and can be used as new medicines for the treatment of breast cancer.Communicated by Ramaswamy H. Sarma.

Pharmacoinformatics-Based Approach for Uncovering the Quorum-Quenching Activity of Phytocompounds against the Oral Pathogen, Streptococcus mutans.

Streptococcus mutans, a gram-positive oral pathogen, is the primary causative agent of dental caries. Biofilm formation, a critical characteristic of S. mutans, is regulated by quorum sensing (QS). This study aimed to utilize pharmacoinformatics techniques to screen and identify effective phytochemicals that can target specific proteins involved in the quorum sensing pathway of S. mutans. A computational approach involving homology modeling, model validation, molecular docking, and molecular dynamics (MD) simulation was employed. The 3D structures of the quorum sensing target proteins, namely SecA, SMU1784c, OppC, YidC2, CiaR, SpaR, and LepC, were modeled using SWISS-MODEL and validated using a Ramachandran plot. Metabolites from Azadirachta indica (Neem), Morinda citrifolia (Noni), and Salvadora persica (Miswak) were docked against these proteins using AutoDockTools. MD simulations were conducted to assess stable interactions between the highest-scoring ligands and the target proteins. Additionally, the ADMET properties of the ligands were evaluated using SwissADME and pkCSM tools. The results demonstrated that campesterol, meliantrol, stigmasterol, isofucosterol, and ursolic acid exhibited the strongest binding affinity for CiaR, LepC, OppC, SpaR, and Yidc2, respectively. Furthermore, citrostadienol showed the highest binding affinity for both SMU1784c and SecA. Notably, specific amino acid residues, including ASP86, ARG182, ILE179, GLU143, ASP237, PRO101, and VAL84 from CiaR, LepC, OppC, SecA, SMU1784c, SpaR, and YidC2, respectively, exhibited significant interactions with their respective ligands. While the docking study indicated favorable binding energies, the MD simulations and ADMET studies underscored the substantial binding affinity and stability of the ligands with the target proteins. However, further in vitro studies are necessary to validate the efficacy of these top hits against S. mutans.

An In Silico Molecular Modelling-Based Prediction of Potential Keap1 Inhibitors from Hemidesmus indicus (L.) R.Br. against Oxidative-Stress-Induced Diseases.

The present study investigated the antioxidant potential of aqueous methanolic extracts of Hemidesmus indicus (L.) R.Br., followed by a pharmacoinformatics-based screening of novel Keap1 protein inhibitors. Initially, the antioxidant potential of this plant extract was assessed via antioxidant assays (DPPH, ABTS radical scavenging, and FRAP). Furthermore, 69 phytocompounds in total were derived from this plant using the IMPPAT database, and their three-dimensional structures were obtained from the PubChem database. The chosen 69 phytocompounds were docked against the Kelch-Neh2 complex protein (PDB entry ID: 2flu, resolution 1.50 Å) along with the standard drug (CPUY192018). H. indicus (L.) R.Br. extract (100 µg × mL-1) showed 85 ± 2.917%, 78.783 ± 0.24% of DPPH, ABTS radicals scavenging activity, and 161 ± 4 µg × mol (Fe (II)) g-1 ferric ion reducing power. The three top-scored hits, namely Hemidescine (-11.30 Kcal × mol-1), Beta-Amyrin (-10.00 Kcal × mol-1), and Quercetin (-9.80 Kcal × mol-1), were selected based on their binding affinities. MD simulation studies showed that all the protein-ligand complexes (Keap1-HEM, Keap1-BET, and Keap1-QUE) were highly stable during the entire simulation period, compared with the standard CPUY192018-Keap1 complex. Based on these findings, the three top-scored phytocompounds may be used as significant and safe Keap1 inhibitors, and could potentially be used for the treatment of oxidative-stress-induced health complications.

A Review on Artificial Intelligence Approaches and Rational Approaches in Drug Discovery.

Artificial intelligence (AI) speeds up the drug development process and reduces its time, as well as the cost which is of enormous importance in outbreaks such as COVID-19. It uses a set of machine learning algorithms that collects the available data from resources, categorises, processes and develops novel learning methodologies. Virtual screening is a successful application of AI, which is used in screening huge drug-like databases and filtering to a small number of compounds. The brain's thinking of AI is its neural networking which uses techniques such as Convoluted Neural Network (CNN), Recursive Neural Network (RNN) or Generative Adversial Neural Network (GANN). The application ranges from small molecule drug discovery to the development of vaccines. In the present review article, we discussed various techniques of drug design, structure and ligand-based, pharmacokinetics and toxicity prediction using AI. The rapid phase of discovery is the need of the hour and AI is a targeted approach to achieve this.

Glucose-conjugated glutenin nanoparticles for selective targeting and delivery of camptothecin into breast cancer cells.

Receptor-mediated drug delivery systems are a promising tool for targeting malignant cells to suppress/inhibit the malignancy without disturbing healthy cells. Protein-based nanocarrier systems possess numerous advantages for the delivery of variety of chemotherapeutics, including therapeutic peptides and genes. In the present work, glucose-conjugated camptothecin-loaded glutenin nanoparticles (Glu-CPT-glutenin NPs) were fabricated to deliver camptothecin to MCF-7 cells via GLUT-1 transporter protein. Initially, Glu-conjugated glutenin polymer was successfully synthesized through reductive amination reaction, and this was confirmed by FTIR and 13C-NMR. Then, camptothecin (CPT) was loaded into Glu-conjugated glutenin polymer forming Glu-CPT-glutenin NPs. The nanoparticles were studied for their drug releasing capacity, morphological shape, size, physical nature, and zeta potential. The fabricated Glu-CPT-glutenin NPs were found to be spherical in shape and amorphous in nature with 200-nm size range and a zeta potential of - 30 mV. Furthermore, MTT assay using Glu-CPT-glutenin NPs confirmed concentration-dependent cytotoxicity against MCF-7 cells after 24-h treatment, and IC50 was found to be 18.23 µg mL-1. In vitro cellular uptake study demonstrated that the Glu-CPT-glutenin NPs had enhanced endocytosis and delivered CPT in MCF-7 cells. A typical apoptotic morphological change of condensed nuclei and distorted membrane bodies was found after treatment with IC50 concentration of NPs. The released CPT from NPs also targeted mitochondria of MCF-7 cells, significantly increasing the level of reactive oxygen species and causing the damage of mitochondrial membrane integrity. These outcomes confirmed that the wheat glutenin can positively serve as a significant delivery vehicle and enhance the anticancer potential of this drug.

Pharmacoinformatics-based screening of active compounds from Vitex negundo against lymphatic filariasis by targeting asparaginyl-tRNA synthetase.

CONTEXT: Lymphatic filariasis, generally called as elephantiasis, is a vector-borne infectious disease caused by the filarial nematodes, mainly Wuchereria bancrofti, Brugia malayi, and Brugia timori, which are transmitted through mosquitoes. The infection affects the normal flow of lymph leading to abnormal enlargement of body parts, severe pain, permanent disability, and social stigma. Due to the development of resistance as well as toxic effects, existing medicines for lymphatic filariasis are becoming ineffective in killing the adult worms. It is essential to search novel filaricidal drugs with new molecular targets. Asparaginyl-tRNA synthetase (PDB ID: 2XGT) belongs to the group of aminoacyl-tRNA synthetases that catalyze specific attachment of amino acids to their tRNA during protein biosynthesis. Plants and their extracts are well-known medicinal practice for the management of several parasitic infectious diseases including filarial infections. METHODS: In this study, asparaginyl-tRNA synthetase of Brugia malayi was used as a target to perform virtual screening of plant phytoconstituents of Vitex negundo from IMPPAT database, which exhibits anti-filarial and anti-helminthic properties. A total of sixty-eight compounds from Vitex negundo were docked against asparaginyl-tRNA synthetase using Autodock module of PyRx tool. Among the 68 compounds screened, 3 compounds, negundoside, myricetin, and nishindaside, exhibited a higher binding affinity compared to standard drugs. The pharmacokinetic and physicochemical prediction, stability of ligand-receptor complexes via molecular dynamics simulation, and density functionality theory were done further for the top-scored ligands with receptor.

Emerging role of exosomes in hematological malignancies.

Hematological malignancies are a heterogeneous group of neoplasms in the blood characterized by dysregulated hematopoiesis and classified as leukemia, lymphoma, and myeloma. The occurrence and progression of hematological malignancies depend on transformed hematopoietic stem cells, which refract to chemotherapy and often cause relapse. In recent years, monoclonal antibody therapies are preferred for hematopoietic cancers, owing to their inherent mechanisms of action and improved outcomes. However, efficient drug delivery methods and the establishment of novel biomarkers are currently being investigated and warranted to improve the outcome of patients with hematological malignancies. For instance, non-viral-mediated, natural carriers have been suggested for latent intracellular drug delivery. In this purview, repurposing small vesicles (e.g., exosomes) is considered a latent approach for myeloma therapy. Exosomes (nano-vesicles) have many advantages in that they are secreted by various animals and plants and become sought after for therapeutic and diagnostic purposes. The size of the cellular membrane of exosomes (30-150 nm) facilitates ligand binding and targeted delivery of the loaded molecules. Furthermore, exosomes can be modified to express specific target moiety on their cell membrane and can also be featured with desired biological activity, thereby potentially employed for various convoluted diseases, including hematological malignancies. To advance the current knowledge, this review is focused on the source, composition, function and surface engineering of exosomes pertaining to hematological malignancies.

A Recent Advancement in Nanotechnology Approaches for the Treatment of Cervical Cancer.

BACKGROUND: Cervical cancer is one of the leading causes of female death, with a mortality rate of over 200,000 per year in developing countries. Despite a decrease in cervical cancer occurrences in developed countries over the last decade, the frequency of the disease in developing nations continues to rise at an alarming rate, particularly when it is linked to the human papillomavirus (HPV). With just a few highly invasive conventional therapies available, there is a clear need for novel treatment options such as nanotechnology-based chemotherapeutic drug delivery. METHODS: Traditional anticancer therapy is limited by poor drug potency, non-specificity, unwanted side effects, and the development of multiple drug resistance (MDR), leading to a decrease in long-term anticancer therapeutic efficacy. An ideal cancer therapy requires a personalized and specialized medication delivery method capable of eradicating even the last cancer cell responsible for disease recurrence. RESULTS: Nanotechnology provides effective drug delivery mechanisms, allowing it to serve both therapeutic and diagnostic purposes. Nanotechnology-based formulations are widely used to accurately target the target organ, maintain drug load bioactivity, preferentially accumulate the drug at the target location, and reduce cytotoxicity. CONCLUSION: The key benefits of this drug delivery are that it improves pharmacological activity, solubility, and bioavailability and reduces toxicity in the target tissue by targeting ligands, allowing for new innovative treatment methods in an area that is desperately required. The goal of this review is to highlight possible research on nanotechnologybased delivery systems for cancer detection and treatment.

Inspection of in-house designed novel thiochromone amino-acid conjugate derivatives as Lm-NMT inhibitor - An in-silico analysis.

Leishmaniasis is a complex neglected tropical disease caused by various leishmanial parasites that primarily affect the world's poorest people. A limited number of standard medications are available for this disease that has been used for several decades, which have drawbacks such as resistance, higher cost, and patient compliance, making it difficult to reach the poor. The search for novel chemical entities to treat leishmaniasis has led to target-based scaffold research. Thiochromone moieties in conjugation with aromatic amino acids have been considered for the study, along with possible substitutions of the electron-withdrawing and electron-donating groups. N-myristoyl transferase (NMT) has been selected as the molecular target for the study responsible for protein-protein interaction and ribosylation of proteins necessary for the growth inside the human body of the parasite. The designed novel thiochromone analogs were docked against the selected leishmanial NMT using thein-silico methods, physicochemical and toxicity properties were predicted, and Structure-Activity Relationship was also established in-silico. Finally, a molecular dynamics simulation study for 100 ns gave an idea about the stability of the protein-ligand complex. A time frame analysis of each 10 ns confirmation was also studied to understand better the putative binding pattern designed analogs.

Computational design of PD-L1 small molecule inhibitors for cancer therapy.

Drug repurposing opens new avenues in cancer therapy. Drug repurposing, or finding new uses for existing drugs, can substantially reduce drug discovery time and costs. Cheminformatics, genetics, and systems biology advances enable repositioning drugs. Clinical usage of PD-1/PD-L1 blocking has been approved because of its efficacy in improving prognosis in select groups. The PD-1/PD-L1 axis was considered to represent a mechanism for tumour evasion of host tumour antigen-specific T-cell immunity in early preclinical research. The expression of PD-L1 in cancer cells causes T lymphocytes to become exhausted by transmitting a co-inhibitory signal. A better understanding of how PD-L1 is regulated in cancer cells could lead to new therapeutic options. In this view, the study was aimed to repurpose the existing FDA-approved drugs as a potential PD-L1 inhibitor through e-Pharmacophore modelling, molecular docking and dynamic simulation. e-Pharmacophore screening retrieved 324 FDA-approved medications with the fitness score ≥ 1. The top 10-docked FDA candidates were compared with IN-35 (Clinical trial candidate) for its interaction pattern with critical amino acid residues. Mirabegron and Indacaterol exhibited a greater affinity for PD-L1 with docking scores of - 9.213 kcal mol-1 and - 8.023 kcal mol-1, respectively. Mirabegron retain interactions at all three major hotspots in the PD-L1 dimer interface similar to IN-35. MM-GBSA analyses indicated that Mirabegron uses less energy to create a more stable complex and retains all of the inhibitor's positive interactions found in clinical trial ligand IN-35. Molecular dynamics simulation analysis of the Mirabegron complex showed a similar pattern of deviation in correlation with IN-35, and it retains the interaction with the active key amino acids throughout the simulation time. Our present study has shown Mirabegron as a powerful inhibitor of PD-L1 expression in cancer cells using a drug-repurposing screen.

Graph Theoretical analysis, in silico modeling and molecular dynamic studies of (5-((2-chloropyridin-4-yl)oxy)-3-phenyl-1H-pyrazol-1-yl)-2-(4-substituted phenyl)-N,N-dimethylethen-1-amine derivatives for the treatment of breast cancer.

BACKGROUND: We synthesized a series of novel amide derivatives of (5-((2-chloropyridin-4-yl)oxy)-3-phenyl-1H-pyrazol-1-yl)-2-(4-substituted phenyl)-N,N-dimethylethen-1-amine [5a-5r] and assessed for their antiproliferative activity against human breast cancer cell line MCF7 by using MTT assay. Graph Theoretical analysis, in silico modeling, molecular dynamic studies, and ADME profile were screened for the synthesized compounds. Based on the observed report, the significant compounds were chosen for their anticancer activity. Graph Theoretical analysis, in silico modeling and molecular dynamic studies of (5-((2-chloropyridin-4-yl)oxy)-3-phenyl-1H-pyrazol-1-yl)-2-(4-substitutedphenyl)-N,N-dimethylethen-1-amine derivatives for the treatment of breast cancer. METHODS: 5-((2-chloropyridin-4-yl)oxy) (2-phenyl-1H-pyrazol-1-yl)-3-phenyl-1H-pyrazol-1-yl)-3-phenyl-1H-pyrazol-1- (4-substituted phenyl) -N,N-dimethylethen-1-amine [5a-5r] was synthesized using 2-bromo-1-phenylethanone and (5-(2-chloropyridin-4-yloxy)-3-phenyl-1H-pyrazol-1-yl)-N,N-dimethylmethanamine with different aromatic aldehydes and their characterization studies were evaluated by IR, NMR, and mass spectral analysis. RESULTS: The compound 2-(4-methylphenyl)-1-(5-((2-chloropyridin-4-yl)oxy)-3-phenyl-1H-pyrazol-1-yl)-N,N-dimethylethen-1-amine 5a and 2-(2-methylphenyl)-1-(5-((2-chloro pyridin-4-yl)oxy)-3-phenyl-1H-pyrazol-1-yl)-N,N-dimethylethen-1-amine 5c in the amide part exhibited promising cytotoxic activity against all cell lines with IC50 values of 3.3 mM for MCF-7 cells, and produced dramatic cell cycle arrest at EGFR phase as an indicator of apoptotic cell death induction. CONCLUSION: Based on their high potency in the cellular environment, these straightforward pyrazole-3-carboxamide derivatives may possess the potential to design more potent compounds for intervention with cancer cell proliferation.

Cytotoxic Potential of Bioactive Compounds from Aspergillus flavus, an Endophytic Fungus Isolated from Cynodon dactylon, against Breast Cancer: Experimental and Computational Approach.

Endophytic fungi are a diverse group of microorganisms that colonize the inter- or intracellular spaces of plants and exhibit mutual benefits. Their interactions with the host plant and other microbiomes are multidimensional and play a crucial role in the production of secondary metabolites. We screened bioactive compounds present in the extracts of Aspergillus flavus, an endophytic fungus isolated from the roots of the medicinal grass Cynodon dactylon, for its anticancer potential. An in vitro analysis of the Ethyl acetate extract from A. flavus showed significant cytostatic effects (IC50: 16.25 µg/mL) against breast cancer cells (MCF-7). A morphological analysis of the cells and a flow cytometry of the cells with annexin V/Propidium Iodide suggested that the extract induced apoptosis in the MCF-7 cells. The extract of A. flavus increased reactive oxygen species (ROS) generation and caused a loss of mitochondrial membrane potential in MCF-7 cells. To identify the metabolites that might be responsible for the anticancer effect, the extract was subjected to a gas chromatography-mass spectrometry (GC-MS) analysis. Interestingly, nine phytochemicals that induced cytotoxicity in the breast cancer cell line were found in the extract. The in silico molecular docking and molecular dynamics simulation studies revealed that two compounds, 2,4,7-trinitrofluorenone and 3α, 5 α-cyclo-ergosta-7,9(11), 22t-triene-6beta-ol exhibited significant binding affinities (-9.20, and -9.50 Kcal/mol, respectively) against Bcl-2, along with binding stability and intermolecular interactions of its ligand-Bcl-2 complexes. Overall, the study found that the endophytic A. flavus from C. dactylon contains plant-like bioactive compounds that have a promising effect in breast cancer.

A hypothesis concerning the role of PPAR family on cardiac energetics in Adriamycin-induced cardiomyopathy.

Adriamycin is an effective anti-neoplastic drug against a variety of cancer types. However, the drug causes adverse side effects in a number of organ systems. Cardiomyopathy is one of the life-threatening side effects of Adriamycin. In the current work, we have derived a hypothesis with possible involvement of PPAR family members in the development of Adriamycin-induced cardiomyopathy. Dysregulation of PPAR family by Adriamycin causes impairment in the transport and ß-oxidation of fatty acids, the key substrate for ATP synthesis in heart. Evidences suggest that dysregulation of PPAR family alters the recruitment of glucose transporters. Furthermore, heme oxygenase-1 is a crucial enzyme regulating the iron homeostasis in the heart whose expression is regulated by PPAR family. Inverse relationship exists between the expression levels of PPARγ and heme oxygenase-1. Adriamycin upregulates the expression of heme oxygenase-1 which in turn disrupts the iron homeostasis in cardiomyocytes. Our molecular docking results show that Adriamycin has a high affinity for iron-binding sites of heme oxygenase-1, thereby hindering formation of iron-sulfur complex. The lack of iron-sulfur complex impairs the electron transport chain. In addition, succinate dehydrogenase subunit A is downregulated by Adriamycin. The lack of this subunit uncouples Krebs cycle from ETC. Further, lack of this subunit increases the concentration of succinate, which further alters the mitochondrial membrane potential. Overall, in the present work, we hypothesize that alteration in the expression of PPAR family members is one of the major causes of metabolic chaos and oxidative stress caused by Adriamycin during the development of cardiomyopathy.

Guanidine-Curcumin Complex-Loaded Amine-Functionalised Hollow Mesoporous Silica Nanoparticles for Breast Cancer Therapy.

The current study focuses on developing a tumour-targeted functionalised nanocarrier that wraps hollow mesoporous silica nanoparticles. The guanidine carbonate and curcumin are immobilised on the surface of 3-aminopropyl-triethoxy silane (APTES)-decorated hollow mesoporous silica nanoparticles (HMSNP), as confirmed through XPS and NMR analysis. XPS analysis demonstrates that the shape of the hysteresis loops is modified and that pore volume and pore diameter are consequently decreased compared to control. Guanidine (85%) and guanidine-curcumin complex (90%) were successfully encapsulated in HMSNAP and showed a 90% effective and sustained release at pH 7.4 for up to 72 h. Acridine orange/ethidium bromide dual staining determined that GuC-HMNSAP induced more late apoptosis and necrosis at 48 and 72 h compared with Gu-HMNSAP-treated cells. Molecular investigation of guanidine-mediated apoptosis was analysed using western blotting. It was found that cleaved caspases, c-PARP, and GSK-3ß (Ser9) had increased activity in MCF-7 cells. GuC-HMSNAP increased the activity of phosphorylation of oncogenic proteins such as Akt (Ser473), c-Raf (Ser249), PDK1 (Ser241), PTEN (Ser380), and GSK-3ß (Ser9), thus inducing cell death in MCF-7 cells. Altogether, our findings confirm that GuC-HMNSAP induces cell death by precisely associating with tumour-suppressing proteins, which may lead to new therapeutic approaches for breast cancer therapy.