Rational drug repurposing for alzheimer's treatment using in-silico ligand and structure-based approaches

Abstract Alzheimer's disease is a devastating neurodegenerative disorder characterized by memory loss and cognitive decline. New AD treatments are essential, and drug repositioning is a promising approach. In this study, we combined ligand-based and structure-based approaches to identify potential candidates among FDA-approved drugs for AD treatment. We used the human acetylcholinesterase receptor structure (PDB ID: 4EY7) and applied Rapid Overlay of Chemical Structures and Swiss Similarity for ligand-based screening.Computational shape-based screening revealed 20 out of 760 FDA approved drugs with promising structural similarity to Donepezil, an AD treatment AChE inhibitor and query molecule. The screened hits were further analyzed using docking analysis with Autodock Vina and Schrodinger glide. Predicted binding affinities of hits to AChE receptor guided prioritization of potential drug candidates. Doxazosin, Oxypertine, Cyclopenthiazide, Mestranol, and Terazosin exhibited favorable properties in shape similarity, docking energy, and molecular dynamics stability.Molecular dynamics simulations confirmed the stability of the complexes over 100 ns. Binding free energy analysis using MM-GBSA indicated favourable binding energies for the selected drugs. ADME, formulation studies offered insights into therapeutic applications and predicted toxicity.This comprehensive computational approach identified potential FDA-approved drugs (especially Doxazosin) as candidates for repurposing in AD treatment, warranting further investigation and clinical assessment.

Analysis of reported adverse liver reactions associated with drugs used to treat patients with coronavirus disease 2019

Abstract Hepatic injury has been documented in patients with coronavirus disease 2019 (COVID-19). However, pharmacotherapy can frequently impact liver alterations, given the known hepatotoxic potential of drugs not effective to treat COVID-19. The objective of the present study was to evaluate reports of suspected liver reactions to drugs used for treating COVID-19, compare their use for other indications among patients with COVID-19, and assess possible interactions between them. We obtained reports on drugs used to treat COVID-19 (tocilizumab, remdesivir, hydroxychloroquine, and/or lopinavir/ritonavir), registered on June 30, 2020, from the Food and Drug Administration Adverse Event Reporting System (FAERS) Public Dashboard. We then analyzed the risk of developing liver events with these drugs by calculating the reported odds ratios (ROR). We identified 662, 744, and 1381 reports related to tocilizumab, lopinavir/ ritonavir, and hydroxychloroquine use, respectively. The RORs (95% confidence intervals) were 6.32 (5.28-7.56), 6.12 (5.22-7.17), and 9.07 (8.00-10.29), respectively, demonstrating an increased risk of liver events among patients with COVID-19 when compared with uninfected patients. The elevated risk of reporting adverse liver events in patients with COVID-19 who receive these drugs, alone or in combination, highlights the need for careful drug selection and efforts to reduce drug combinations without notable benefits. Similar to any other condition, the use of drugs without established efficacy should be avoided.

Pharmaceutical evaluation of compounded furosemide capsules and excipient performance

Abstract Compounding pharmacies play an important role not only in compounding personalized formulations, but also preparing drugs at the same concentration and dosage as those from commercial manufacturers. The excipients used in compounding are generally standardized for many drugs, however they do not consider the intrinsic properties, such as the poor water solubility, of each substance. The excipient performance of commercially available compounded furosemide capsules in 7 compounding pharmacies from Manaus was evaluated and compared them to the performance of the reference medicinal product (Lasix® tablets) and 2 batches of capsules made in-house (T2 and T4) with a standardized excipient. All batches were subjected to tests for weight variation, assay, uniformity of dosage units, disintegration and dissolution profile. Of the 7 different compound formulas acquired in the compounding pharmacies, only 2 passed all tests. Most formulas passed the tests for weight determination, disintegration time and assay, however batches from 2 establishments failed in regards to the uniformity of the content and 5 batches failed the dissolution test. The reference medicinal product was approved in all tests, as were the T2 capsules made in-house with drug-excipient ratio 1:2. These results confirm the importance of the excipient composition, especially for poorly soluble drugs.

Validation of the Brazilian version of the hepatitis B quality of life evaluation instrument - HBQOL, and its application to patients with chronic hepatitis B in Cascavel - PR

Abstract The objective of this study is to validate the specific questionnaire for Hepatitis B HBQOL (Hepatitis B Quality of Life Instrument, version 1.0) for the Brazilian version, in addition to testing its applicability in patients with hepatitis B under treatment and comparing the quality of life between patients using first-line drugs (tenofovir and entecavir). For the validation, the back-translation technique was used in a sample of 47 patients. Factor analysis was performed between the items in each domain of the questionnaire and the internal consistency was calculated using Cronbach's α coefficient. In assessing the applicability of the validated questionnaire, interviews were carried out with 124 patients. Sociodemographic and treatment data were collected to characterize the sample and perform correlation analyzes. The results demonstrate that the Brazilian version of the questionnaire was successfully validated. In the analysis carried out among the 124 patients, the domains psychological well-being and stigma obtained the highest scores in quality of life and the lowest level of education conferred better results in these two domains. The comparison between tenofovir and entecavir showed no significant difference in patients' quality of life. The use of this validated instrument can make therapeutic decisions more rational

Comparative application of biological and ninhydrin- derivatized spectrophotometric assays in the evaluation and validation of amikacin sulfate injection

Abstract Instrumental techniques are preferred over bioassay methods for antibiotic quantification mainly due to speed and ability to quantify metabolites in biological samples; however, the potency and biological activity of these drugs cannot be assessed. Two methods - agar well diffusion (bio-assay) and spectrophotometric methods were used to evaluate amikacin sulfate injection. Agar plates were inoculated with S. aureus inoculum; zones of inhibition from its susceptibility to amikacin were obtained, while spectrophotometric absorption at 650 nm of ninhydrin- derivatized amikacin in phosphate buffer (pH 8) was measured. Methods performance showed linearity from 1 - 16 µgmL-1 (bioassay, r = 0.9994) and 10-50 µgmL-1 (spectrophotometric, r = 0.9998). Molar absorptivity was 2.595 x 104 Lmol-1cm-1. Limits of detection and quantification were 1.07 and 3.24 µgmL-1 respectively for bioassay method, while corresponding values for spectrophotometric method were 0.98 and 2.97 µg mL-1. Relative standard deviations were ≤ 2.0% for both methods, with recoveries from 95.93 - 100.25%. Amikacin in brands ranged from 97.53 ± 2.68 to 100.84 ± 1.82%, student's t-test was ≤ 2.78 (n = 4) with respect to label claim for both methods. Experimental paired t-test (t = 2.07; n = 4) and F-test (F = 3.94; n = 4) values indicated no significant difference between both methods, hence comparable and can jointly be used in quality control assessment of antibiotics

Evaluation of copaiba oil as enhancer of ibuprofen skin permeation

Abstract The administration of medications on the skin through transcutaneous routes is a practice that has been used by mankind for millennia. Some studies have been reporting the use of terpenes and natural oils rich in terpenes as an enhancer of cutaneous penetration. Copaiba oil, due to its rich content of terpenes, presents itself as a great choice of penetration enhancer for drugs administered on the skin. In this study, we developed two cream formulations containing 5% of ibuprofen (IBU) and copaiba oil: IBCO5 and IBCO10 with 5% and 10% of copaiba oil respectively. Ex vivo cutaneous penetration/permeation studies of IBU were performed using pig ear skin as biological membrane in the Franz-type diffusion cells. The steady-state flux of IBU samples, IBCO5 (35.72 ± 6.35) and IBCO10 (29.78 ± 2.41) were significantly higher when compared with control without copaiba oil (10.32 ±1.52) and with a commercial product (14.44 ± 2.39). In the penetration analysis, the amount of IBU found in the samples IBCO5 and IBCO10 was markedly higher in the dermis than epidermis. Our results showed that copaiba oil possesses attracting properties in promoting skin penetration and permeation of IBU when added into cream formulations.

Innovation in Pharmaceutical Assistance

Abstract Innovation is the driving force that is able to create and transform products, processes, and organization in the health system. Innovation in the field of pharmaceutical assistance covers a wide spectrum of aspects, from drug discovery to pharmaceutical care, contributing to the improvement in treatments through novel drugs or methods. This work will present the major characteristics of innovation with special emphasis on aspects pertaining to pharmaceutical assistance. The types and models of innovation, as well as the interaction between academia and industry, will be presented with examples of successful products and methods. In addition, the challenges and perspectives for innovation in pharmaceutical assistance will be discussed with a focus on drug discovery.

Pharmacogenomics: An Update on Biologics and Small-Molecule Drugs in the Treatment of Psoriasis.

Pharmacogenomic studies allowed the reasons behind the different responses to treatments to be understood. Its clinical utility, in fact, is demonstrated by the reduction in adverse drug reaction incidence and the improvement of drug efficacy. Pharmacogenomics is an important tool that is able to improve the drug therapy of different disorders. In particular, this review will highlight the current pharmacogenomics knowledge about biologics and small-molecule treatments for psoriasis. To date, studies performed on genes involved in the metabolism of biological drugs (tumor necrosis factor inhibitors and cytokines inhibitors) and small molecules (apremilast, dimethyl fumarate, and tofacitinib) have provided conflicting results, and further investigations are necessary in order to establish a set of biomarkers to be introduced into clinical practice.

FDA-Approved Drug Screening for Compounds That Facilitate Hematopoietic Stem and Progenitor Cells (HSPCs) Expansion in Zebrafish.

Hematopoietic stem cells (HSCs) are a specialized subset of cells with self-renewal and multilineage differentiation potency, which are essential for their function in bone marrow or umbilical cord blood transplantation to treat blood disorders. Expanding the hematopoietic stem and progenitor cells (HSPCs) ex vivo is essential to understand the HSPCs-based therapies potency. Here, we established a screening system in zebrafish by adopting an FDA-approved drug library to identify candidates that could facilitate HSPC expansion. To date, we have screened 171 drugs of 7 categories, including antibacterial, antineoplastic, glucocorticoid, NSAIDS, vitamins, antidepressant, and antipsychotic drugs. We found 21 drugs that contributed to HSPCs expansion, 32 drugs' administration caused HSPCs diminishment and 118 drugs' treatment elicited no effect on HSPCs amplification. Among these drugs, we further investigated the vitamin drugs ergocalciferol and panthenol, taking advantage of their acceptability, limited side-effects, and easy delivery. These two drugs, in particular, efficiently expanded the HSPCs pool in a dose-dependent manner. Their application even mitigated the compromised hematopoiesis in an ikzf1-/- mutant. Taken together, our study implied that the larval zebrafish is a suitable model for drug repurposing of effective molecules (especially those already approved for clinical use) that can facilitate HSPCs expansion.

Prediction of Pregnancy-Induced Changes in Secretory and Total Renal Clearance of Drugs Transported by Organic Anion Transporters.

Pregnancy can significantly change the pharmacokinetics of drugs, including those renally secreted by organic anion transporters (OATs). Quantifying these changes in pregnant women is logistically and ethically challenging. Hence, predicting the in vivo plasma renal secretory clearance (CLsec) and renal CL (CLrenal) of OAT drugs in pregnancy is important to design correct dosing regimens of OAT drugs. Here, we first quantified the fold-change in renal OAT activity in pregnant versus nonpregnant individual using available selective OAT probe drug CLrenal data (training dataset; OAT1: tenofovir, OAT2: acyclovir, OAT3: oseltamivir carboxylate). The fold-change in OAT1 activity during the 2nd and 3rd trimester was 2.9 and 1.0 compared with nonpregnant individual, respectively. OAT2 activity increased 3.1-fold during the 3rd trimester. OAT3 activity increased 2.2, 1.7 and 1.3-fold during the 1st, 2nd, and 3rd trimester, respectively. Based on these data, we predicted the CLsec, CLrenal and total clearance ((CLtotal) of drugs in pregnancy, which are secreted by multiple OATs (verification dataset; amoxicillin, pravastatin, cefazolin and ketorolac, R-ketorolac, S-ketorolac). Then, the predicted clearances (CLs) were compared with the observed values. The predicted/observed CLsec, CLrenal, and CLtotal of drugs in pregnancy of all verification drugs were within 0.80-1.25 fold except for CLsec of amoxicillin in the 3rd trimester (0.76-fold) and cefazolin in the 2nd trimester (1.27-fold). Overall, we successfully predicted the CLsec, CLrenal, and CLtotal of drugs in pregnancy that are renally secreted by multiple OATs. This approach could be used in the future to adjust dosing regimens of renally secreted OAT drugs which are administered to pregnant women. SIGNIFICANCE STATEMENT: To the authors' knowledge, this is the first report to successfully predict renal secretory clearance and renal clearance of multiple OAT substrate drugs during pregnancy. The data presented here could be used in the future to adjust dosing regimens of renally secreted OAT drugs in pregnancy. In addition, the mechanistic approach used here could be extended to drugs transported by other renal transporters.

Comparative effectiveness of pharmacological interventions to prevent postoperative delirium: a network meta-analysis.

Many pharmacologic agents were investigated for the effect to prevent delirium. We aimed to comprehensively compare the effect of the pharmacological interventions to prevent postoperative delirium. A Bayesian network meta-analysis of randomized trials was performed using random effects model. PubMed, the Cochrane Central Register of Controlled Trials, and Embase were searched on 20 January 2021. Randomized trials comparing the effect of a drug to prevent postoperative delirium with another drug or placebo in adult patients undergoing any kind of surgery were included. Primary outcome was the postoperative incidence of delirium. Eighty-six trials with 26,992 participants were included. Dexmedetomidine, haloperidol, and atypical antipsychotics significantly decreased the incidence of delirium than placebo [dexmedetomidine: odds ratio 0.51, 95% credible interval (CrI) 0.40-0.66, moderate quality of evidence (QOE); haloperidol: odds ratio 0.59, 95% CrI 0.37-0.95, moderate QOE; atypical antipsychotics: odds ratio 0.27, 95% CrI 0.14-0.51, moderate QOE]. Dexmedetomidine and atypical antipsychotics had the highest-ranking probabilities to be the best. However, significant heterogeneity regarding diagnostic time window as well as small study effects precludes firm conclusion.

Sex differences in multimorbidity and polypharmacy trends: A repeated cross-sectional study of older adults in Ontario, Canada.

BACKGROUND: Multimorbidity is increasing among older adults, but the impact of these recent trends on the extent and complexity of polypharmacy and possible variation by sex remains unknown. We examined sex differences in multimorbidity, polypharmacy (5+ medications) and hyper-polypharmacy (10+ medications) in 2003 vs 2016, and the interactive associations between age, multimorbidity level, and time on polypharmacy measures. METHODS AND FINDINGS: We employed a repeated cross-sectional study design with linked health administrative databases for all persons aged ≥66 years eligible for health insurance in Ontario, Canada at the two index dates. Descriptive analyses and multivariable logistic regression models were conducted; models included interaction terms between age, multimorbidity level, and time period to estimate polypharmacy and hyper-polypharmacy probabilities, risk differences and risk ratios for 2016 vs 2003. Multimorbidity, polypharmacy and hyper-polypharmacy increased significantly over the 13 years. At both index dates prevalence estimates for all three were higher in women, but a greater absolute increase in polypharmacy over time was observed in men (6.6% [from 55.7% to 62.3%] vs 0.9% [64.2%-65.1%] for women) though absolute increases in multimorbidity were similar for men and women (6.9% [72.5%-79.4%] vs 6.2% [75.9%-82.1%], respectively). Model findings showed that polypharmacy decreased over time among women aged < 90 years (especially for younger ages and those with fewer conditions), whereas it increased among men at all ages and multimorbidity levels (with larger absolute increases typically at older ages and among those with 4 or fewer conditions). CONCLUSIONS: There are sex and age differences in the impact of increasing chronic disease burden on changes in measures of multiple medication use among older adults. Though the drivers and health consequences of these trends warrant further investigation, the findings support the heterogeneity and complexity in the evolving association between multimorbidity and polypharmacy measures in older populations.

Insights into the FDA 2018 New Drug Approvals.

OBJECTIVE: The Center of Drug Evaluation and Research (CDER) in the food and drug administration (FDA) approves new drugs every year. This review discusses the novel drugs of the FDA in 2018, with emphasis on the breakthrough drugs, the milestones in the approved list, and drugs with the highest expected sales in 2024. METHODS: The following scientific search engines were surveyed for the clinical trials of the drugs approved by the FDA in 2018: Pubmed, Springer link, ScienceDirect, Scopus, Wiley online library, Taylor and Francis, and Google Scholar. The total forecast sales were compared based on information from the Cortellis database, EvaluatePharma, and Nature Biobusiness Briefs. RESULTS: The 2018 year was full of good news for the drug market in the USA, with 59 new drug approvals by the FDA, which is the highest number of approvals in the last twenty years. The oncology and the antimicrobial drugs represent almost 50% of the new list, which gives hope to cancer patients and subjects with infectious diseases. In the 2018 FDA list, a number of drugs are expected to exceed 1$ billion dollars of sales by 2024. CONCLUSION: The new drugs approved by the FDA in 2018 have been reviewed. This year showed the highest number of new drug approvals in the last two decades. Among the 59 drugs approved in 2018, 14 drugs are considered breakthroughs, which revive hope for many poorly managed diseases. The list also contains 19 drugs that are first in class and 43 that were given priority reviews.

Analysis of clinical trials of new drugs in China as of 2019.

The research and development (R&D) of new drugs indicates scientific progress and economic development. However, little is known regarding ongoing or recent clinical trials in China. We analyzed data from clinical trials published before December 31, 2019, and found that the annual registration numbers are increasing annually in the country. Based on clinical indications, most tested drugs target cancers, nervous system, infections, and the cardiovascular system. Furthermore, clinical trials are mostly concentrated in Beijing, Shanghai, and Jiangsu, and conducted by large pharmaceutical companies, with multiple trials for several generic drugs. Going forward, it will be necessary to promote R&D in China of clinically relevant innovative drugs, drug delivery systems, and novel traditional Chinese medicine (TCM) and biological products, as well as to have a balanced distribution of clinical trials to sustainably meet public health needs.

Framework for Drug Formulary Decision Using Multiple-Criteria Decision Analysis.

Background. Reviewing drugs to determine coverage or reimbursement level is a complex process that involves significant time and expertise. Review boards gather evidence from the submission provided, input from clinicians and patients, and results of clinical and economic reviews. This information consists of assessments on multiple criteria that often conflict with one another. Multiple-criteria decision analysis (MCDA) includes methods to address complex decision making problems with conflicting objectives and criteria. We propose an MCDA approach that infers a utility model based on reviews of previously submitted drugs. Methods. We use a recent extension of the UTilitiés Additives DIScriminantes approach, UTADISGMS. This disaggregation approach deconstructs a portfolio of elements such as a set of drugs that have been reviewed and for which a decision has been made. It derives global and marginal utility functions that are consistent with the preferences exhibited by the review boards in their recommendations. We apply the method to oncology drugs reviewed in Canada between 2011 and 2017. We also illustrate how to conduct scenario analyses and predict the coverage decisions for new drugs. Results. Applying the method yields a utility value for each submission along with a set of thresholds that partition the utility values based on the submission outcomes. Scenario analyses illustrate the predictive ability of the method. Conclusion. Preference disaggregation is an indirect way of eliciting an additive global utility value function. It requires less of a cognitive effort from the decision making bodies because it infers preferences from the data rather than relying on direct assessments of model parameters. We illustrate how it can be applied to validate existing decisions and to predict the recommendation of a new drug.

Drug Selection via Joint Push and Learning to Rank.

Selecting the right drugs for the right patients is a primary goal of precision medicine. In this article, we consider the problem of cancer drug selection in a learning-to-rank framework. We have formulated the cancer drug selection problem as to accurately predicting 1) the ranking positions of sensitive drugs and 2) the ranking orders among sensitive drugs in cancer cell lines based on their responses to cancer drugs. We have developed a new learning-to-rank method, denoted as pLETORg, that predicts drug ranking structures in each cell line via using drug latent vectors and cell line latent vectors. The pLETORg method learns such latent vectors through explicitly enforcing that, in the drug ranking list of each cell line, the sensitive drugs are pushed above insensitive drugs, and meanwhile the ranking orders among sensitive drugs are correct. Genomics information on cell lines is leveraged in learning the latent vectors. Our experimental results on a benchmark cell line-drug response dataset demonstrate that the new pLETORg significantly outperforms the state-of-the-art method in prioritizing new sensitive drugs.

The drugs that mostly frequently induce gynecomastia: A national case - noncase study.

AIMS: Drug-induced gynecomastia accounts for up to 25% of cases of gynecomastia. The objective of the present study was to provide a comprehensive overview of drug-induced gynecomastia on the basis of spontaneously reported adverse drug reactions (ADRs) in the French national pharmacovigilance database (FPVD). METHODS: We performed a case - noncase study of drug-induced gynecomastia. Cases corresponded to reports of gynecomastia recorded in the FPVD between 1 January 2008 and 31 December 2015. The noncases corresponded to all other spontaneously reported ADRs recorded in the FPVD during the same period. Data were expressed as the reporting odds ratio (ROR) and its 95% confidence interval. RESULTS: Of the 255,354 ADRs recorded in the FPVD between 1 January 2008 and 31 December 2015, 327 (0.31%) of relevant cases of gynecomastia and 106,800 noncases were analyzed. The RORs were statistically significant for 54 active compounds mentioned 429 times in cases of gynecomastia. A single drug was involved in 59% of cases. The most frequently implicated drug classes were antiretrovirals (23.5%), diuretics (15.5%), proton pump inhibitors (11.9%), HMG-CoA reductase inhibitors (9.1%), neuroleptics and related drugs (6.5%), calcium channel blockers (6.3%), and 5-alpha reductase inhibitors (4%). CONCLUSIONS: A comprehensive analysis of a national pharmacovigilance database highlighted the main drug classes suspected of inducing gynecomastia. A physiopathological mechanism (a hormone imbalance with elevated estrogen levels) is known or suspected for most of the drugs involved in gynecomastia. However, we noticed a lack of harmonization in the summary of product characteristics for original vs. generic medicines.

Drug-Induced Hypophosphatemia: Current Insights.

Phosphate is actively involved in many important biochemical pathways, such as energy and nucleic acid metabolism, cellular signaling, and bone formation. Hypophosphatemia, defined as serum phosphate levels below 2.5 mg/dL (0.81 mmol/L), is frequently observed in the course of treatment with commonly used drugs, such as diuretics, bisphosphonates, antibiotics, insulin, and antacids. Furthermore, this undesired effect may complicate the use of several novel medications, including teriparatide, denosumab, parenteral iron, and antiviral and antineoplastic agents. This review addresses drug-associated hypophosphatemia, focusing on underlying mechanisms and the most recent knowledge on this topic, in order to increase the insight of clinicians, with reference to early diagnosis and appropriate management.

Síntese, avaliação biológica e modelagem molecular de potenciais antitumorais análogos da sanguinarina planejados por simplificação molecular / Synthesis, biological evaluation and molecular modeling of potential antitumors analogues from sanguinarine designed by molecular simplification

A sanguinarina é um alcaloide capaz de inibir Bcl-xL, uma proteína antiapoptótica que se encontra superexpressa em linhagens tumorais e que está frequentemente relacionada à resistência destas frente a quimioterápicos antineoplásicos. No intuito de identificar potenciais agentes antitumorais, o objetivo deste trabalho foi sintetizar três séries de análogos da sanguinarina planejados por simplificação molecular e avaliar sua atividade biológica. Dez N-benzil-naftil-aminas (3a-e; 4a-e) e dez arilisoquinolinas (6a-e; 7a-e) foram sintetizadas em duas a três etapas reacionais, utilizando-se métodos de aminação redutiva e acoplamento de Suzuki. Insucesso na etapa de reação de Heck impossibilitou a síntese da terceira série, benzofenantridínica, apesar de testadas diversas condições reacionais. Avaliação da citotoxicidade em linhagens de glioblastoma U87MG revelou que a série N-benzilnaftil-amina apresenta melhor atividade quando comparada às aril-isoquinolinas, sendo para ambas, observada atividade superior à temozolamida, principal fármaco para o tratamento de glioblastoma. Estudos em linhagem não tumorigênica MRC-5 demonstraram que os análogos foram significativamente superiores à sanguinarina em relação à seletividade. Os compostos mais mais promissores, 4a e 6e, induziram morte celular por apoptose e causaram despolarização da membrana mitocondrial, indicando morte apoptótica pela via extrínseca. Ademais, 4a interrompeu o ciclo interrompeu o ciclo celular na fase G2/M, indicando que o mesmo seria um agente ciclo celular específico. Simulações de dinâmica molecular sugerem que os compostos interagem com a proteína Bcl-xL principalmente por interações hidrofóbicas, e que o composto 4a apresentaria afinidade com o alvo semelhante à sanguinarina, embora esta tenha apresentado atividade superior em células U87. Perspectivas incluem estudos das vias de indução de morte celular, além da expansão do painel de células. Conclui-se, portanto, que os análogos da sanguinarina representam um arcabouço a ser explorado pelos químicos medicinais no desenvolvimento de potenciais antineoplásico

Sanguinarine is an alkaloid able to inhibit Bcl-xL, an antiapoptotic protein which is overexpressed in tumor cells and related to their resistance against antineoplastic chemotherapy. Regarding to develop potential antitumor agents, the aim of this work was the synthesis of three series of sanguinarine analogues designed by molecular simplification and their biological evaluation. Ten N-benzyl-naphtyl-amines (3a-e; 4ae) and ten aryl-isoquinolines (6a-e; 7a-e) were synthesized in two or three reaction steps through reductive amination and Suzuki coupling. Failure about Heck-type reaction had impaired the synthesis of the thirth series, benzophenanthridine, although several conditions were tested. Cytotoxicity evaluation against U87MG glioblastoma cell line showed that N-benzyl-naphtyl-amines are more active than aryl-isoquinolines and both series were superior to temozolamide, the main drug for glioblastoma treatment. Tests against non-tumorigenic cell MRC-5 indicated that the analogues were significantly superior to sanguinarine regarding selectivity. The most promising compounds, 4a e 6e, induced cell death by apoptosis and mitochondrial membrane depolarization, indicating apoptotic death by extrinsic pathway. 4a provide cell cycle arrest at G2/M phase, suggesting that it is a specific cell cycle agent. Molecular dynamics suggested that compounds interact with Bcl-xL mainly by hydrophobic interactions and 4a has affinity to the protein like sanguinarine, although the last showed superior activity against U87 cells. Perspectives include mechanistics studies about cell death pathway and expanding cell panel. In conclusion, sanguinarine anlogues represent a scaffold to be explored by medicinal chemists to the development of potential antitumor agent