Novel computational and drug design strategies for inhibition of human papillomavirus-associated cervical cancer and DNA polymerase theta receptor by Apigenin derivatives

Molecular mechanisms of Asparagus racemosus willd. and Withania somnifera (L.) Dunal as chemotherapeutic adjuvants for breast cancer treatment

ETHNOPHARMACOLOGICAL RELEVANCE

Despite various treatment modalities, the progression and metastasis of breast cancer (BC) are grave concerns due to the alarming disease-free survival rate (DFS) and overall survival rate (OS) of affected patients. Over the years, many antibiotics, synthetic compounds, medicinal plant isolates and polyherbal combinations have been used as adjuvants in therapy for the management of primary and secondary tumors. Paclitaxel (PTX)-based chemotherapy for breast cancer causes multiple adverse side effects in patients. Withania somnifera (L.) Dunal (WS) and Asparagus racemosus Willd. (AR) as Ayurveda-inspired plant-based adjuvants were investigated for their anticancer effects on MDA-MB-231 and 4T1 cells in mouse model systems.

AIM OF THE STUDY

This study focused on evaluating the adjuvant properties of WS and AR plant extracts with PTX and their effectiveness over PTX alone in terms of tumor inhibition.

MATERIALS AND METHODS

The effects of WS and AR on DNA double-strand breaks (DSBs), senescence induction and mitochondrial functions were evaluated in BC cells in vitro. The potential for cancer stem cell (CSC) inhibition was evaluated via mammosphere formation assays and CD44/CD24 immunostaining. In vivo tumor growth studies were conducted in athymic BALB/c mice for MDA-MB-231 cells and in BALB/c mice for 4T1 cells.

RESULTS

Induction of senescence was evident due to DSBs induced by the WS and AR extracts. Mammosphere formation and CD44/CD24 CSC markers were reduced after treatment with WS, AR or the combination of both in MCF-7 cells. WS or AR inhibited epithelial-to-mesenchymal transition (EMT). In vivo studies demonstrated that tumor growth inhibition was more pronounced in the treated group than in the PTX alone group and the untreated control group.

CONCLUSION

Our study showed that the use of WS or AR plant hydroalcoholic extracts in combination with paclitaxel (PTX) has better effects on sensitivity and efficacy than PTX alone, as demonstrated in in vitro BC cells and mouse models with BC cell grafts. Hence, scheduling adjuvant therapy with WS or AR alone or combined with PTX can be advantageous for the management of triple-negative BC (TNBC). Further studies are warranted in human clinical conditions to ascertain the efficacy of these treatments.

Aptamer biosensor design for the detection of endocrine-disrupting chemicals small organic molecules using novel bioinformatics methods

Endocrine-disrupting chemicals (EDCs) are substances that can disrupt the normal functioning of hormones.Using aptamers, which are biological recognition elements, biosensors can quickly and accurately detect EDCs in environmental samples. However, the elucidation of aptamer structures by conventional methods is highly challenging due to their complexity. This has led to the development of three-dimensional aptamer structures based on different models and techniques. To do this, we developed a way to predict the 3D structures of the SS DNA needed for this sequence by starting with an aptamer sequence that has biosensor properties specific to bisphenol-A (BPA), one of the chemicals found in water samples that can interfere with hormones. In addition, we will elucidate the intermolecular mechanisms and binding affinity between aptamers and endocrine disruptors using bioinformatics techniques such as molecular docking, molecular dynamics simulation, and binding energies. The outcomes of our study are to compare modeling programs and force fields to see how reliable they are and how well they agree with results found in the existing literature, to understand the intermolecular mechanisms and affinity of aptamer-based biosensors, and to find a new way to make aptamers that takes less time and costs less.

In vitro study of HPV18-positive cervical cancer HeLa cells based on CRISPR/Cas13a system

The E6 protein is a known oncogene in cervical cancer and plays a key role in the development and progression of cervical cancer by reducing the expression level of the tumor suppressor protein P53 and ultimately leading to enhanced cell proliferation and reduced apoptosis. Therefore, antiviral agents that inhibit the expression of E6 oncoprotein are expected to be potential therapies for human cervical cancer. Here we developed CRISPR/Cas13a: crRNA dual plasmid system and demonstrated that CRISPR/Cas13a could effectively and specifically knock down human papillomavirus 18 E6 mRNA, downregulate the expression level of E6 protein, and restore the expression of the tumor suppressor gene P53 protein, thereby inhibiting the growth of cervical cancer cells and increasing their apoptosis, the E6-2, E6-3, and E6-5 groups resulted in apoptosis rates of 25.4%, 22.4%, and 22.2% in HeLa cells. Moreover, CRISPR/Cas13a enhances the proliferation inhibition and apoptosis induction of cisplatin in cervical cancer HeLa cells. The CRISPR/Cas13a system targeting HPV E6 mRNA may be a promising therapeutic approach for the treatment of human papillomavirus-associated cervical cancer.

Synergistic effects of medicinal plants in combination with spices from algeria: Anticancer, antiangiogenic activities, and embrytoxicity studies

ETHNOPHARMACOLOGICAL RELEVANCE

Bryonia dioica Jacq., Evernia prunastri (L.) Ach., Telephium imperati L., and Aristolochia longa L. are species widely used in traditional medicine to treat several diseases including cancer. Conjugation of two or more extracts is an approach to improve the effectiveness of their pharmacological activities.

AIM OF THE STUDY

To evaluate the synergistic anticancer and anti-angiogenic effects of medicinal plants and edible species combinations.

MATERIALS AND METHODS

In this work, B. dioica, E. prunastri, Telephium imperati, and Aristolochia longa extracts were conjugated to form four mixtures. The antiproliferative effect of mixtures on several carcinoma cells was examined by MTT assay, and the antiangiogenic activity was estimated through Hen's egg test in vivo. Moreover, in an Ovo model, 35 fertilized Ross eggs were used to test the embryotoxicity of mixtures.

RESULTS

At the highest concentration of 200 μg/mL, both mixtures exerted an important cytotoxic effect against human carcinoma cells. The mixture BETE (Bryonia Evernia Telephium Extract) significantly reduced HT-29, PC-3, and A-549 cell viability. Likewise, this mixture strongly suppressed vascularization in vivo at 200 μg/mL. Interestingly, no signs of toxicity on Perdix embryos were recorded within 21 days of treatment. More importantly, the mixture did not have any cytotoxic effect on non cancerous cells.

CONCLUSION

Taken together, our results suggest that the synergy between B. dioica, E. prunastri and T. imperati may be promising for developing new anti-cancer treatments.

In silico studies of benzothiazole derivatives as potential inhibitors of Anopheles funestus and Anopheles gambiae trehalase

Introduction

In malaria management, insecticides play a crucial role in targeting disease vectors. Benzothiazole derivatives have also been reported to possess insecticidal properties, among several other properties they exhibit. The female Anopheles mosquito is responsible for transmitting the malaria parasite when infected. Anopheles gambiae (Ag) and Anopheles funestus (Af) are two of the most notable Anopheles species known to spread malaria in Nigeria. Trehalase is an enzyme that breaks down trehalose. Recent research has proposed it as a viable target for inhibition since it aids in flight and stress adaptation.

Methods

This study aimed to investigate benzothiazole derivatives as potential inhibitors of trehalase of Anopheles funestus (AfTre) and Anopheles gambiae (AgTre) using toxicity profiling, molecular docking, and dynamic simulation for future insecticidal intervention. A total of 4,214 benzothiazole-based compounds were obtained from the PubChem database and subjected to screening against the 3D modelled structure of AfTre and AgTre. Compounds with some toxicity levels were optimised, and the obtained lead compounds were further investigated through molecular docking studies. Furthermore, the best hit was subjected to parameters such as RMSD, RMSF, SASA, Rg, and hydrogen bond to confirm its stability when in a complex with AfTre, and these parameters were compared to that of validamycin A (control ligand).

Results and discussion

The post-screening analysis showed binding affinities of -8.7 and -8.2 kcal/mol (compound 1), -8.2 and -7.4 kcal/mol (compound 2), compared to -6.3 and -5.1 kcal/mol (Validamycin A, a known inhibitor) against AfTre and AgTre, respectively. The molecular dynamics simulation showed that compound 1 (the best hit) had good stability when in complex with AfTre. These findings suggest that these best hits can serve as potential inhibitors for the development of novel insecticides in the control of malaria vectors.

Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects

In recent years, there has been a significant improvement in the accuracy of the classification of pigmented skin lesions using artificial intelligence algorithms. Intelligent analysis and classification systems are significantly superior to visual diagnostic methods used by dermatologists and oncologists. However, the application of such systems in clinical practice is severely limited due to a lack of generalizability and risks of potential misclassification. Successful implementation of artificial intelligence-based tools into clinicopathological practice requires a comprehensive study of the effectiveness and performance of existing models, as well as further promising areas for potential research development. The purpose of this systematic review is to investigate and evaluate the accuracy of artificial intelligence technologies for detecting malignant forms of pigmented skin lesions. For the study, 10,589 scientific research and review articles were selected from electronic scientific publishers, of which 171 articles were included in the presented systematic review. All selected scientific articles are distributed according to the proposed neural network algorithms from machine learning to multimodal intelligent architectures and are described in the corresponding sections of the manuscript. This research aims to explore automated skin cancer recognition systems, from simple machine learning algorithms to multimodal ensemble systems based on advanced encoder-decoder models, visual transformers (ViT), and generative and spiking neural networks. In addition, as a result of the analysis, future directions of research, prospects, and potential for further development of automated neural network systems for classifying pigmented skin lesions are discussed.

Investigation of substituent effects on the electronic structure and antiviral activity of favipiravir derivatives for Covid-19 treatment using DFT and molecular docking

In this study, Density-functional theory/Time-dependent density-functional theory (DFT/TDDFT) and Molecular docking method was used to investigate the effect of methyl acetate, tetrahydrofuran and cyanobenzylidene substituents on the electronic structure and antiviral activity of favipiravir for treating COVID-19. The DFT and TDDFT computations were employed using the Gaussian 09 software package. The values were calculated using the 6-311++G(d, p) basis set and the hybrid B3LYP functional method. Autodock vina software was used for simulations to better predictions and to validate the modified compounds' binding affinities and poses. Results of the study indicate that compounds 1 to 6 all displayed a planar structure, where the pyrazine ring, carboxamide, hydroxyl groups, and other substituents are all situated within the same plane. In addition, the energy gaps (Egap) of these six compounds (Cpd 1, 2, 3, 4, 5, and 6) were compared. The significant dipole moment and binding affinity achieved implies a particular orientation for binding within the target protein, signaling the anticipated strength of the binding interaction. In all six compounds, the electrophilic domain is situated in the vicinity of the amine functional group within the carboxamide compound, whereas the nucleophilic domain encompasses both the carbonyl and hydroxyl groups. The most negatively charged sites are susceptible to electrophilic interactions. In conclusion, compounds 5 and 6 exhibit a high binding affinity of the target protein, while compound 6 has a high energy gap, which could enhance its antiviral activity against the COVID-19 virus.

In-silico study unveils potential phytocompounds in Andrographis paniculata against E6 protein of the high-risk HPV-16 subtype for cervical cancer therapy

Despite therapeutic advancements, cervical cancer caused by high-risk subtypes of the human papillomavirus (HPV) remains a leading cause of cancer-related deaths among women worldwide. This study aimed to discover potential drug candidates from the Asian medicinal plant Andrographis paniculata, demonstrating efficacy against the E6 protein of high-risk HPV-16 subtype through an in-silico computational approach. The 3D structures of 32 compounds (selected from 42) derived from A. paniculata, exhibiting higher binding affinity, were obtained from the PubChem database. These structures underwent subsequent analysis and screening based on criteria including binding energy, molecular docking, drug likeness and toxicity prediction using computational techniques. Considering the spectrometry, pharmacokinetic properties, docking results, drug likeliness, and toxicological effects, five compounds-stigmasterol, 1H-Indole-3-carboxylic acid, 5-methoxy-, methyl ester (AP7), andrographolide, apigenin and wogonin-were selected as the potential inhibitors against the E6 protein of HPV-16. We also performed 200 ns molecular dynamics simulations of the compounds to analyze their stability and interactions as protein-ligand complexes using imiquimod (CID-57469) as a control. Screened compounds showed favorable characteristics, including stable root mean square deviation values, minimal root mean square fluctuations and consistent radius of gyration values. Intermolecular interactions, such as hydrogen bonds and hydrophobic contacts, were sustained throughout the simulations. The compounds displayed potential affinity, as indicated by negative binding free energy values. Overall, findings of this study suggest that the selected compounds have the potential to act as inhibitors against the E6 protein of HPV-16, offering promising prospects for the treatment and management of CC.

Quercetin inhibits neuronal Ferroptosis and promotes immune response by targeting lipid metabolism-related gene PTGS2 to alleviate breast cancer-related depression

BACKGROUND

Quercetin, the key ingredient in Xiaoyao Kangai Jieyu Formula, has been previously found to relieve breast cancer-related depression (BCRD).

PURPOSE

We want to explore the potential mechanisms and therapeutic targets of quercetin alleviating BCRD.

METHODS

BALB/c mice were injected subcutaneously with 4T1 cells and corticosterone (CORT) to create a BCRD mice model. The primary hippocampal neurons were co-induced with 10 μg/ml lipopolysaccharide (LPS) and 200 μM CORT for 6 h to establish an in vitro model of BCRD. Quercetin was applied to explore its effect on disease symptoms, gut microbiota, and lipid metabolism of BCRD mice. Lipid metabolism-related genes were screened based on network pharmacology. Molecular docking was employed to prove whether quercetin bound to prostaglandin-endoperoxide synthase 2 (PTGS2). PTGS2 overexpression was carried out to explore the underlying mechanism of quercetin treatment on BCRD.

RESULTS

Quercetin treatment not only altered the composition and abundance of gut microbiota but also alleviated abnormal lipid metabolism in BCRD mice. In particular, quercetin down-regulated BCRD and lipid metabolism-related genes screened by network pharmacology, especially PTGS2. Further, molecular docking verified the stable binding between quercetin and PTGS2. In hippocampal neurons, quercetin promoted proliferation but reduced ferroptosis-related markers (total Fe, Fe2+, MDA, and ROS) levels by targeting PTGS2. In BCRD mice, quercetin reduced the high immobility time and increased the sucrose preference rate and serotonin (5-HT), dopamine (DA), and noradrenaline (NE) levels. Meanwhile, quercetin increased CD4+/CD8+ T cells ratio and IL-2 and IFN-γ levels but reduced CA153 and IL-10 levels to alleviate BCRD development. However, PTGS2 overexpression reversed these effects of quercetin on BCRD.

CONCLUSION

Quercetin inhibited neuronal ferroptosis and promoted immune responses in BCRD mice by targeting the lipid metabolism-related gene PTGS2. This provided a reference for quercetin in the treatment of BCRD.

The incidence risk of gynecological cancer by antipsychotic use: a meta-analysis of 50,402 patients

BACKGROUND

Female gynecological cancers represent a serious public health problem, with 1,398,601 new diagnoses and 671,875 deaths per year worldwide. Antipsychotics are often used in psychiatric disorders, including schizophrenia, bipolar disorder, and major depression. It is estimated that the prescription of these drugs is linked to 1,800 deaths a year in the United States, but their association with cancer remains controversial.

METHODS

We searched PubMed, Scopus, and Web of Science databases for studies reporting the correlation in the incidence risk of gynecological cancer by antipsychotic use. We used DerSimonian and Laird random-effect models to compute logit transformed odds ratio (OR) for the primary binary endpoint with 95% confidence interval (CI). Heterogeneity was assessed through effect size width along with I-squared and Tau-squared statistics. Review Manager 5.4.1. was used for statistical analyses. A p-value of < 0.05 denoted statistically significant.

RESULTS

50,402 patients were included, of whom 778 (1,54%) took antipsychotic medication for at least 1 year. 1,086 (2,15%) with ovarian cancer and 49,316 (97,85%) with endometrial cancer. Antipsychotic use (OR 1.50; 1.06 to 2.13 95% CI; p-value 0.02), hypertension (OR 1.50; 95% CI 1.06 to 2.13; p-value < 0.01), nulliparity (OR 1.98; 95% CI 1.53 to 2.57; p-value < 0.01) and multiparity (OR 0.53; 95% CI 0.41 to 0.69; p-value < 0.01) showed significantly different distributions between groups of cancer and cancer-free patients. The primary endpoint of incidence risk of gynecological cancer by antipsychotic therapy showed a statistically significant difference (OR 1.67; 95% CI 1.02 to 2.73; p-value < 0.05) against the use of antipsychotic drugs.

CONCLUSIONS

Our meta-analysis showed that the use of antipsychotic drugs increases the risk of gynecological cancers, particularly endometrial cancer. This result should be weighed against the potential effects of treatment for a balanced prescribing decision.

Exploring the Therapeutic Potential of Petiveria alliacea L. Phytochemicals: A Computational Study on Inhibiting SARS-CoV-2's Main Protease (Mpro)

The outbreak of SARS-CoV-2, also known as the COVID-19 pandemic, is still a critical risk factor for both human life and the global economy. Although, several promising therapies have been introduced in the literature to inhibit SARS-CoV-2, most of them are synthetic drugs that may have some adverse effects on the human body. Therefore, the main objective of this study was to carry out an in-silico investigation into the medicinal properties of Petiveria alliacea L. (P. alliacea L.)-mediated phytocompounds for the treatment of SARS-CoV-2 infections since phytochemicals have fewer adverse effects compared to synthetic drugs. To explore potential phytocompounds from P. alliacea L. as candidate drug molecules, we selected the infection-causing main protease (Mpro) of SARS-CoV-2 as the receptor protein. The molecular docking analysis of these receptor proteins with the different phytocompounds of P. alliacea L. was performed using AutoDock Vina. Then, we selected the three top-ranked phytocompounds (myricitrin, engeletin, and astilbin) as the candidate drug molecules based on their highest binding affinity scores of -8.9, -8.7 and -8.3 (Kcal/mol), respectively. Then, a 100 ns molecular dynamics (MD) simulation study was performed for their complexes with Mpro using YASARA software, computed RMSD, RMSF, PCA, DCCM, MM/PBSA, and free energy landscape (FEL), and found their almost stable binding performance. In addition, biological activity, ADME/T, DFT, and drug-likeness analyses exhibited the suitable pharmacokinetics properties of the selected phytocompounds. Therefore, the results of this study might be a useful resource for formulating a safe treatment plan for SARS-CoV-2 infections after experimental validation in wet-lab and clinical trials.

Knowledge of cervical cancer, human papillomavirus (HPV), and acceptance of the HPV vaccine among parents of daughters in Riyadh, Saudi Arabia

BACKGROUND

Cervical cancer is the eighth most prevalent cancer among women nationwide, with 358 new cases reported annually. One of the strategies to prevent it is getting vaccinated against the human papillomavirus (HPV), the leading cause of this cancer.

METHODS

A survey-based cross-sectional study was conducted in Riyadh, Saudi Arabia, to evaluate the acceptance of the HPV vaccine among parents of daughters and their knowledge of three domains: cervical cancer, HPV, and the HPV vaccine.

RESULTS

390 parents participated in the study, with 88.2% female, 39.74% of the participants aged between 36-62 years old, and 62.56% holding a bachelor's degree or above. Parents were more aware of cervical cancer (78.97%), followed by HPV (50%) and the HPV vaccine (41.28%). Awareness levels about cervical cancer were significantly different among males and females, while awareness of HPV and the HPV vaccine was significantly associated with parents' education levels. For instance, parents with a bachelor's degree or higher (54.9%) demonstrated greater awareness of HPV compared to parents with a high school diploma (41.9%) or a middle school diploma or less (41.5%). The overall participants' knowledge scores in all three domains were poor, with an average below 50%. 60% of parents believed their daughters should receive the HPV vaccine.

CONCLUSION

More than half of the study participants are willing to vaccinate their daughters with the HPV vaccine despite their poor knowledge of the assessed domains. Awareness levels of HPV and the HPV vaccine are associated with education levels. We believe raising awareness among parents is necessary to improve the acceptance level of the HPV vaccine.

Modulating the antibacterial effect of the existing antibiotics along with repurposing drug metformin

Owing to the extensive prevalence of resistant bacteria to numerous antibiotic classes, antimicrobial resistance (AMR) poses a well-known hazard to world health. As an alternate approach in the field of antimicrobial drug discovery, repurposing the available medications which are also called antibiotic resistance breakers has been pursued for the treatment of infections with antimicrobial resistance pathogens. In this study, we used Haloperidol, Metformin and Hydroxychloroquine as repurposing drugs in in vitro (Antibacterial Antibiotic Sensitivity Test and Minimum Inhibitory Concentration-MIC) and in vivo (Shigellosis in Swiss albino mice) tests in combination with traditional antibiotics (Oxytetracycline, Erythromycin, Doxycycline, Gentamicin, Ampicillin, Chloramphenicol, and Penicillin) against a group of AMR resistance bacteria (Bacillus cereus, Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, and Shigella boydii). After observing the results of the conducted in vitro experiments we studied the effects of the above non antibiotic drugs in combination with the said antibiotics. As an repurposing adjuvant antibiotic drug, Metformin exhibited noteworthy activity in almost all in vitro, in vivo and in silico tests (Zone of inhibition for 30 to 43 mm for E.coli in combination with Doxycycline; MIC value decreased 50 µM to 0.781 µM with Doxycycline on S. boydii).In rodents Doxycycline and Metformin showed prominent against Shigellosis in White blood cell count (6.47 ± 0.152 thousand/mm3) and Erythrocyte sedimentation rate (10.5 ± 1.73 mm/hr). Our findings indicated that Metformin and Doxycycline combination has a crucial impact on Shigellosis. The molecular docking study was performed targeting the Acriflavine resistance protein B (AcrB) (PDB ID: 4CDI) and MexA protein (PDB ID: 6IOK) protein with Metformin (met8) drug which showed the highest binding energy with - 6.4 kcal/mol and - 5.5 kcal/mol respectively. Further, molecular dynamics simulation revealed that the docked complexes were relatively stable during the 100 ns simulation period. This study suggest Metformin and other experimented drugs can be used as adjuvants boost up antibiosis but further study is needed to find out the safety and efficacy of this non-antibiotic drug as potent antibiotic adjuvant.

Molecular dynamics simulations assisted investigation of phytochemicals as potential lead candidates against anti-apoptotic Bcl-B protein

Due to the multifarious nature of cancer, finding a single definitive cure for this dreadful disease remains an elusive challenge. The dysregulation of the apoptotic pathway or programmed cell death, governed by the Bcl-2 family of proteins plays a crucial role in cancer development and progression. Bcl-B stands out as a unique anti-apoptotic protein from the Bcl-2 family that selectively binds to Bax which inhibits its pro-apoptotic function. Although several inhibitors are reported for Bcl-2 family proteins, no specific inhibitors are available against the anti-apoptotic Bcl-B protein. This study aims to address this research gap by using virtual screening of an in-house library of phytochemicals from seven anti-cancer medicinal plants to identify lead molecules against Bcl-B protein. Through pharmacokinetic analysis and molecular docking studies, we identified three lead candidates (Enterolactone, Piperine, and Protopine) based on appreciable drug-likeliness, ADME properties, and binding affinity values. The identified molecules also exhibited specific interactions with critical amino acid residues of the binding cleft, highlighting their potential as lead candidates. Finally, molecular dynamics simulations and MM/PBSA based binding free energy analysis revealed that Enterolactone (CID_114739) and Piperine (CID_638024) molecules were on par with Obatoclax (CID_11404337), which is a known inhibitor of the Bcl-2 family proteins.Communicated by Ramaswamy H. Sarma.