Metabolites. 2023 Feb 28;13(3):362. doi: 10.3390/metabo13030362.

ABSTRACT

The accumulation of cell biomass is associated with dramatically increased bioenergetic and biosynthetic demand. Metabolic reprogramming, once thought as an epiphenomenon, currently relates to disease progression, also in response to extracellular fate-decisive signals. Glioblastoma multiforme patients often suffer misdiagnosis, short survival time, low quality of life, and poor disease management options. Today, tumor genetic testing and histological analysis guide diagnosis and treatment. We and others appreciate that metabolites complement translational biomarkers and molecular signatures in disease profiling and phenotyping. Herein, we coupled a mixed-methods content analysis to a mass spectrometry-based untargeted metabolomic analysis on plasma samples from glioblastoma multiforme patients to delineate the role of metabolic remodeling in biological plasticity and, hence, disease severity. Following data processing and analysis, we established a bioenergetic profile coordinated by the mitochondrial function and redox state, lipids, and energy substrates. Our findings show that epigenetic modulators are key players in glioblastoma multiforme cell metabolism, in particular when microRNAs are considered. We propose that biological plasticity in glioblastoma multiforme is a mechanism of adaptation and resistance to treatment which is eloquently revealed by bioenergetics.

PMID:36984801 | DOI:10.3390/metabo13030362

J Fungi (Basel). 2023 Mar 21;9(3):385. doi: 10.3390/jof9030385.

ABSTRACT

Histoplasmosis is a frequent mycosis in people living with HIV/AIDS and other immunocompromised hosts. Histoplasmosis has high rates of mortality in these patients if treatment is unsuccessful. Itraconazole and amphotericin B are used to treat histoplasmosis; however, both antifungals have potentially severe pharmacokinetic drug interactions and toxicity. The present study determined the minimal inhibitory and fungicidal concentrations of mebendazole, a drug present in the NIH Clinical Collection, to establish whether it has fungicidal or fungistatic activity against Histoplasma capsulatum. Protein extracts from H. capsulatum yeasts, treated or not with mebendazole, were analyzed by proteomics to understand the metabolic changes driven by this benzimidazole. Mebendazole inhibited the growth of 10 H. capsulatum strains, presenting minimal inhibitory concentrations ranging from 5.0 to 0.08 µM. Proteomics revealed 30 and 18 proteins exclusively detected in untreated and mebendazole-treated H. capsulatum yeast cells, respectively. Proteins related to the tricarboxylic acid cycle, cytoskeleton, and ribosomes were highly abundant in untreated cells. Proteins related to the nitrogen, sulfur, and pyrimidine metabolisms were enriched in mebendazole-treated cells. Furthermore, mebendazole was able to inhibit the oxidative metabolism, disrupt the cytoskeleton, and decrease ribosomal proteins in H. capsulatum. These results suggest mebendazole as a drug to be repurposed for histoplasmosis treatment.

PMID:36983553 | DOI:10.3390/jof9030385

Int J Mol Sci. 2023 Mar 18;24(6):5831. doi: 10.3390/ijms24065831.

ABSTRACT

A collection of repurposing drugs (Prestwick Chemical Library) containing 1200 compounds was screened to investigate the drugs' antimicrobial effects against planktonic cultures of the respiratory pathogen Streptococcus pneumoniae. After four discrimination rounds, a set of seven compounds was finally selected, namely (i) clofilium tosylate; (ii) vanoxerine; (iii) mitoxantrone dihydrochloride; (iv) amiodarone hydrochloride; (v) tamoxifen citrate; (vi) terfenadine; and (vii) clomiphene citrate (Z, E). These molecules arrested pneumococcal growth in a liquid medium and induced a decrease in bacterial viability between 90.0% and 99.9% at 25 µM concentration, with minimal inhibitory concentrations (MICs) also in the micromolar range. Moreover, all compounds but mitoxantrone caused a remarkable increase in the permeability of the bacterial membrane and share a common, minimal chemical structure consisting of an aliphatic amine linked to a phenyl moiety via a short carbon/oxygen linker. These results open new possibilities to tackle pneumococcal disease through drug repositioning and provide clues for the design of novel membrane-targeted antimicrobials with a related chemical structure.

PMID:36982905 | DOI:10.3390/ijms24065831

Int J Mol Sci. 2023 Mar 18;24(6):5819. doi: 10.3390/ijms24065819.

ABSTRACT

Whenever a protein fails to fold into its native structure, a profound detrimental effect is likely to occur, and a disease is often developed. Protein conformational disorders arise when proteins adopt abnormal conformations due to a pathological gene variant that turns into gain/loss of function or improper localization/degradation. Pharmacological chaperones are small molecules restoring the correct folding of a protein suitable for treating conformational diseases. Small molecules like these bind poorly folded proteins similarly to physiological chaperones, bridging non-covalent interactions (hydrogen bonds, electrostatic interactions, and van der Waals contacts) loosened or lost due to mutations. Pharmacological chaperone development involves, among other things, structural biology investigation of the target protein and its misfolding and refolding. Such research can take advantage of computational methods at many stages. Here, we present an up-to-date review of the computational structural biology tools and approaches regarding protein stability evaluation, binding pocket discovery and druggability, drug repurposing, and virtual ligand screening. The tools are presented as organized in an ideal workflow oriented at pharmacological chaperones' rational design, also with the treatment of rare diseases in mind.

PMID:36982893 | DOI:10.3390/ijms24065819

Biomedicines. 2023 Mar 15;11(3):903. doi: 10.3390/biomedicines11030903.

ABSTRACT

Chemotherapy still plays a central role in the treatment of cancer. However, it is often accompanied by off-target effects that result in severe side-effects and development of drug resistance. The aim of this work was to study the efficacy of different repurposed drugs on the viability of MCF-7 and SH-SY5Y breast cancer and neuroblastoma cells, respectively. In addition, combinations of these repurposed drugs with a classical chemotherapeutic drug (doxorubicin) were also carried out. The cytotoxic effects of the repurposed drugs were evaluated individually and in combination in both cancer cell lines, assessed by MTT assays and morphological evaluation of the cells. The results demonstrated that atorvastatin reduced the viability of both cell lines. However, nitrofurantoin was able to induce cytotoxic effects in MCF-7 cells, but not in SH-SY5Y cells. The combinations of the repurposed drugs with doxorubicin induced a higher inhibition on cell viability than the repurposed drugs individually. The combination of the two repurposed drugs demonstrated that they potentiate each other. Synergism studies revealed that the combination of doxorubicin with the two repurposed drugs was more effective in SH-SY5Y cells, compared to MCF-7 cells. Taken together, our preliminary study highlights the potential use of atorvastatin and nitrofurantoin in the context of breast cancer and neuroblastoma.

PMID:36979882 | DOI:10.3390/biomedicines11030903

J Mol Model. 2023 Mar 28;29(4):117. doi: 10.1007/s00894-023-05492-w.

ABSTRACT

BACKGROUND: Drug discovery processes, such as new drug development, drug synergy, and drug repurposing, consume significant yearly resources. Computer-aided drug discovery can effectively improve the efficiency of drug discovery. Traditional computer methods such as virtual screening and molecular docking have achieved many gratifying results in drug development. However, with the rapid growth of computer science, data structures have changed considerably; with more extensive and dimensional data and more significant amounts of data, traditional computer methods can no longer be applied well. Deep learning methods are based on deep neural network structures that can handle high-dimensional data very well, so they are used in current drug development.

RESULTS: This review summarized the applications of deep learning methods in drug discovery, such as drug target discovery, drug de novo design, drug recommendation, drug synergy, and drug response prediction. While applying deep learning methods to drug discovery suffers from a lack of data, transfer learning is an excellent solution to this problem. Furthermore, deep learning methods can extract deeper features and have higher predictive power than other machine learning methods. Deep learning methods have great potential in drug discovery and are expected to facilitate drug discovery development.

PMID:36976427 | DOI:10.1007/s00894-023-05492-w

Inform Med Unlocked. 2023;38:101230. doi: 10.1016/j.imu.2023.101230. Epub 2023 Mar 22.

ABSTRACT

The challenges posed by COVID-19's emergence have led to a search for its therapies. There is no cure for COVID-19 infection yet, but there is significant progress in vaccine formulation for prophylaxis and drug development (such as Paxlovid) for high-risk patients. As a contribution to the ongoing quest for solutions, this study shows potent phytocompounds identification as inhibitors of SARS-CoV-2 targets using in silico methods. We used virtual screening, molecular docking, and molecular dynamics (MD) simulations to investigate the interaction of some phytochemicals with 3CLpro, ACE2, and PLpro proteins crucial to the SARS-CoV-2 viral cycle. The predicted docking scores range from -5.5 to -9.4 kcal/mol, denoting appreciable binding of these compounds to the SARS-CoV-2 proteins and presenting a multitarget inhibition for COVID-19. Some phytocompounds interact favorably at non-active sites of the enzymes. For instance, MD simulation shows that an identified site on PLpro is stable and likely an allosteric region for inhibitor binding and modulation. These phytocompounds could be developed into effective therapy against COVID-19 and probed as potential multitarget-directed ligands and drug candidates against the SARS-CoV-2 virus. The study unveils drug repurposing, selectivity, allosteric site targeting, and multitarget-directed ligand in one piece. These concepts are three distinct approaches in the drug design and discovery pipeline.

PMID:36974159 | PMC:PMC10030444 | DOI:10.1016/j.imu.2023.101230

Ann Intern Med. 2023 Mar 28. doi: 10.7326/M22-3582. Online ahead of print.

ABSTRACT

Remdesivir and molnupiravir were the only 2 repurposed antivirals that were approved for emergency use during the COVID-19 pandemic. Both drugs received their emergency use authorization on the basis of a single industry-funded phase 3 trial, which was launched after evidence of in vitro activity against SARS-CoV-2. In contrast, for tenofovir disoproxil fumarate (TDF), little in vitro evidence was generated, no randomized trials for early treatment were done, and the drug was not considered for authorization. Yet, by the summer of 2020, observational evidence suggested a substantially lower risk for severe COVID-19 in TDF users compared with nonusers. The decision-making process for the launching of randomized trials for these 3 drugs is reviewed. Observational data in favor of TDF was systematically dismissed, even though no viable alternative explanations were proposed for the lower risk for severe COVID-19 among TDF users. Lessons learned from the TDF example during the first 2 years of the COVID-19 pandemic are described, and the use of observational clinical data to guide decisions about the launch of randomized trials during the next public health emergency is proposed. The goal is that gatekeepers of randomized trials make better use of the available observational evidence for the repurposing of drugs without commercial value.

PMID:36972545 | DOI:10.7326/M22-3582

J Biomol Struct Dyn. 2023 Mar 27:1-13. doi: 10.1080/07391102.2023.2193998. Online ahead of print.

ABSTRACT

The World Health Organization (WHO) proclaimed the monkeypox epidemic a "public health emergency of worldwide significance" recently. The monkeypox virus is a member of the same Orthopoxvirus genus as the smallpox virus. Although smallpox medications are advised against monkeypox, no monkeypox-specific drugs are currently available. In the event of such an outbreak, in-silico medication identification is a practical and efficient strategy. As a result, we report a computational drug repurposing analysis to discover medicines that may be potential inhibitors of thymidylate kinase, a critical monkeypox viral enzyme. The target protein structure of the monkeypox virus was modeled using the vaccinia virus's homologous protein structure. Using molecular docking and density functional theory, we found 11 possible inhibitors of the monkeypox virus from an Asinex library of 261120 chemicals. The primary purpose of this in silico work is to find possible inhibitors of monkeypox viral proteins that can then be experimentally tested in order to develop innovative therapeutic medicines for monkeypox infection.Communicated by Ramaswamy H. Sarma.

PMID:36970852 | DOI:10.1080/07391102.2023.2193998

Discov Ment Health. 2023;3(1):9. doi: 10.1007/s44192-023-00036-3. Epub 2023 Mar 21.

ABSTRACT

Coronavirus disease 2019 (COVID-19) has presented a serious worldwide threat to public health since its emergence in late 2019. From a safety point of view, drug repurposing has received particular attention. Several clinical studies have demonstrated that the use of fluvoxamine, a selective serotonin reuptake inhibitor with potent sigma-1 receptor agonism, in the early-stage of infection might be associated with the prevention of clinical deterioration in individuals with SARS-CoV-2 infection, although several reports have shown that a low dose of fluvoxamine may be ineffective. There is increasing evidence that SARS-CoV-2 can cross the blood-brain barrier, resulting in a number of psychiatric and neurologic symptoms in COVID-19 survivors. Importantly, about half of COVID-19 survivors experience a variety of long-term sequelae, including psychiatric and neurologic symptoms, known as long COVID. In this priority review, the author presents an overview of the potential use of fluvoxamine in the treatment of COVID-19 and long COVID.

PMID:36968793 | PMC:PMC10029802 | DOI:10.1007/s44192-023-00036-3

J Proteomics. 2023 Mar 24:104890. doi: 10.1016/j.jprot.2023.104890. Online ahead of print.

ABSTRACT

This study employed systems biology and high-throughput technologies to analyze complex molecular components of MS pathophysiology, combining data from multiple omics sources to identify potential biomarkers and propose therapeutic targets and repurposed drugs for MS treatment. This study analyzed GEO microarray datasets and MS proteomics data using geWorkbench, CTD, and CORMINE to identify differentially expressed genes associated with MS disease. Protein-protein interaction networks were constructed using Cytoscape and its plugins, and functional enrichment analysis was performed to identify crucial molecules. A drug-gene interaction network was also created using DGIdb to propose medications. This study identified 592 differentially expressed genes (DEGs) associated with MS disease using GEO, proteomics, and text-mining datasets. 37 DEGs were found to be important by topographical network studies, and 6 were identified as the most significant for MS pathophysiology. Additionally, we proposed six drugs that target these key genes. Crucial molecules identified in this study were dysregulated in MS and likely play a key role in the disease mechanism, warranting further research. Additionally, we proposed repurposing certain FDA-approved drugs for MS treatment. Our in silico results were supported by previous experimental research on some of the target genes and drugs. SIGNIFICANCE: As the long-lasting investigations continue to discover new pathological territories in neurodegeneration, here we apply a systems biology approach to determine multiple sclerosis's molecular and pathophysiological origin and identify multiple sclerosis crucial genes that contribute to candidating new biomarkers and proposing new medications.

PMID:36966969 | DOI:10.1016/j.jprot.2023.104890

J Infect Public Health. 2023 Mar 15;16(5):799-807. doi: 10.1016/j.jiph.2023.03.007. Online ahead of print.

ABSTRACT

Monkeypox virus (MPXV) was confirmed in May 2022 and designated a global health emergency by WHO in July 2022. MPX virions are big, enclosed, brick-shaped, and contain a linear, double-stranded DNA genome as well as enzymes. MPXV particles bind to the host cell membrane via a variety of viral-host protein interactions. As a result, the wrapped structure is a potential therapeutic target. DeepRepurpose, an artificial intelligence-based compound-viral proteins interaction framework, was used via a transfer learning setting to prioritize a set of FDA approved and investigational drugs which can potentially inhibit MPXV viral proteins. To filter and narrow down the lead compounds from curated collections of pharmaceutical compounds, we used a rigorous computational framework that included homology modeling, molecular docking, dynamic simulations, binding free energy calculations, and binding pose metadynamics. We identified Elvitegravir as a potential inhibitor of MPXV virus using our comprehensive pipeline.

PMID:36966703 | DOI:10.1016/j.jiph.2023.03.007

Inflammopharmacology. 2023 Mar 25. doi: 10.1007/s10787-023-01193-1. Online ahead of print.

ABSTRACT

The "Thalidomide tragedy" is a landmark in the history of the pharmaceutical industry. Despite limited clinical trials, there is a continuous effort to investigate thalidomide as a drug for cancer and inflammatory diseases such as rheumatoid arthritis, lepromatous leprosy, and COVID-19. This review focuses on the possibilities of targeting inflammation by repurposing thalidomide for the treatment of idiopathic pulmonary fibrosis (IPF). Articles were searched from the Scopus database, sorted, and selected articles were reviewed. The content includes the proven mechanisms of action of thalidomide relevant to IPF. Inflammation, oxidative stress, and epigenetic mechanisms are major pathogenic factors in IPF. Transforming growth factor-β (TGF-β) is the major biomarker of IPF. Thalidomide is an effective anti-inflammatory drug in inhibiting TGF-β, interleukins (IL-6 and IL-1β), and tumour necrosis factor-α (TNF-α). Thalidomide binds cereblon, a process that is involved in the proposed mechanism in specific cancers such as breast cancer, colon cancer, multiple myeloma, and lung cancer. Cereblon is involved in activating AMP-activated protein kinase (AMPK)-TGF-β/Smad signalling, thereby attenuating fibrosis. The past few years have witnessed an improvement in the identification of biomarkers and diagnostic technologies in respiratory diseases, partly because of the COVID-19 pandemic. Hence, investment in clinical trials with a systematic plan can help repurpose thalidomide for pulmonary fibrosis.

PMID:36966238 | DOI:10.1007/s10787-023-01193-1

Indian J Pharmacol. 2023 Jan-Feb;55(1):53-58. doi: 10.4103/ijp.ijp_700_22.

ABSTRACT

Novel SARS-CoV-2 (COVID-19) is affecting worldwide as declared pandemic by the WHO. Various repositioning and novel therapeutic agents are being evaluated under different clinical setups; however, there is no promising therapeutic agent reported to date. Small molecules like peptides have their popularity as their specificity, delivery, and synthesizability as promising therapeutic agents. In this study, we have reviewed the published literature describing peptide designing, in silico binding mode, antiviral activity, preventive measures, and in vivo assessments. Here, we reported all the results which are promising against SARS-CoV-2 as therapeutic and preventive (vaccine candidates), and their status in the drug development process.

PMID:36960521 | DOI:10.4103/ijp.ijp_700_22

Biochem Biophys Res Commun. 2023 Mar 20;656:131-138. doi: 10.1016/j.bbrc.2023.03.048. Online ahead of print.

ABSTRACT

Drug repurposing holds abundant opportunity in the development of novel anticancer drugs. Chloroquine (CQ), a FDA approved anti-malarial drug, is demonstrated to enhance anticancer efficacy of standard anticancer drugs including doxorubicin (DOX) in several types of cancer cells. Here, we aimed to exploit the chemosensitizing effects of CQ against DOX in human cervical cancer (HeLa) cells that remains to be investigated yet. We show that a combination of DOX (40 nM) and CQ (40 μM) resulted in a synergistic cytotoxicity (combination index; CI < 1) in HeLa cells compared to the DOX or CQ alone. Synergistic effect of the combination (DOX + CQ) was associated with the impaired autophagic flux and enhanced apoptosis. Following treatment with the combination (DOX + CQ), the level of p62/SQSTM and LC-3II proteins was increased, while a decrease was noted in the expression of LAMP-2, Syntaxin17, Rab 5, and Rab 7 proteins that play critical roles in the fusion of autophagosomes to lysosomes. Autophagy inhibition by combination (DOX + CQ) enhanced the apoptotic cell death synergistically by increasing the cleavage of procaspase-3 and PARP1. Further, a prior incubation of HeLa cells with Z-VAD-FMK (a pan-caspase inhibitor) for 4 h, suppressed the combination (DOX + CQ)-induced cell death. Our data suggest that a combination of DOX + CQ had a better anti-cancer efficacy in HeLa cells than either of the drugs alone. Thus, CQ, as a repurposed drug, may hold the potential to synergize anticancer effects of DOX in cervical cancer cells.

PMID:36963349 | DOI:10.1016/j.bbrc.2023.03.048

J Gastroenterol. 2023 Mar 24. doi: 10.1007/s00535-023-01983-y. Online ahead of print.

NO ABSTRACT

PMID:36961556 | DOI:10.1007/s00535-023-01983-y

Appl Biochem Biotechnol. 2023 Mar 24. doi: 10.1007/s12010-023-04439-4. Online ahead of print.

ABSTRACT

COVID-19 infection is a new disease and our knowledge is limited; day in and day out more and more interesting yet diverse observations are reported by the different research groups from different corners of the world. So, there is an urgent requirement of the invention of some effective and efficient drugs that can carry out the end of the deadly viral infection. Throughout the world, there have been many efforts carried out in different labs to invent such a drug and also identifying any pre-existing drugs which can carry out the killing of the virus. In this review, an effort has been made to understand the potential drugs which can be used against the SARS-CoV-2 viral infection. Again, the strategies on the current and the future drug discovery mechanisms against the SARS-CoV-2 are also mentioned. The different drugs made and the drugs re-used and also the drugs which are in the making process in different research laboratories across the world are also mentioned. To combat this unexpected crisis, we still need some more efforts from the different scientific communities around the world for finding a cure against this viral infection and this is needed to be done for the prevention of more loss of human life.

PMID:36961509 | DOI:10.1007/s12010-023-04439-4

J Biomol Struct Dyn. 2023 Mar 24:1-24. doi: 10.1080/07391102.2023.2193994. Online ahead of print.

ABSTRACT

The outbreak of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has caused an unprecedented global pandemic, and new cases are still on the rise due to the absence of effective medicines. However, developing new drugs within a short time is extremely difficult. Repurposing the existing drugs provides a fast and effective strategy to identify promising inhibitors. Here we focus on the screening of drugs database for discovering potential covalent inhibitors that target 3-chymotrypsin-like protease (3CLpro), an essential enzyme mediating viral replication and transcription. Firstly, we constructed a receptor-ligand pharmacophore model and verified it through decoy set. The importance of pharmacophore features was evaluated by combining molecular dynamics simulation with interaction analyses. Then, covalent docking was used to perform further screening. According to docking score and Prime/Molecular Mechanics Generalized Born Surface Area (MM-GBSA) score, total ten compounds obtained good scores and successfully established covalent bonds with the catalytic Cys145 residue. They also formed favorable interactions with key residues in active sites and closely integrated with 3CLpro with binding modes similar to known 3CLpro inhibitor. Finally, the top four hits DB08732, DB04653, DB01871 and DB07299 were further subjected to 100 ns molecular dynamics (MD) simulation and MM-GBSA binding free energy calculations. The results suggest that the four candidates show good binding affinities for 3CLpro, which warrants further evaluation for their in-vitro/in-vivo activities. Overall, our research methods provide a valuable reference for discovering promising inhibitors against SARS-CoV-2 and help to fight against the epidemic.Communicated by Ramaswamy H. Sarma.

PMID:36961210 | DOI:10.1080/07391102.2023.2193994

Mult Scler Relat Disord. 2023 Mar 16;73:104622. doi: 10.1016/j.msard.2023.104622. Online ahead of print.

ABSTRACT

Multiple sclerosis (MS) is an autoimmune neurodegenerative disease affecting numerous people worldwide. While the relapsing subtypes of MS are to some extent treatable, the disease remains incurable leading to progressive disability. Limited efficacy of current small molecule drugs necessitates development of efficient and safe MS medications. Accordingly, drug repurposing is an invaluable strategy that recognizes new targets for known drugs especially in the field of poorly addressed therapeutic areas. Drug discovery largely depends on the identification of potential binding molecules to the intended biomolecular target(s). In this regard, current study was devoted to in silico repurposing of 263 small molecule CNS drugs to achieve superior binders to some MS-related targets. On the basis of molecular docking scores, thioxanthene and benzisothiazole-based antipsychotics could be identified as potential binders to sphingosine-1-phosphate lyase (S1PL) and cyclophilin D (CypD). Tightest interaction modes were observed for zuclopenthixol-S1PL (ΔGb -7.96 kcal/mol) and lurasidone-CypD (ΔGb -8.84 kcal/mol) complexes. Molecular dynamics (MD) simulations proved the appropriate and stable accommodation of top-ranked drugs inside enzyme binding sites during 100 ns. Hydroxyethyl piperazine of zuclopenthixol and benzisothiazole of lurasidone flipped inside the binding pocket to interact with adjacent polar and apolar residues. Solvent accessible surface area (SASA) fluctuations confirmed the results of binding trajectory analysis and showed that non-polar hydrophobic interactions played significant roles in acquired stabilities. Our results on lurasidone binding pattern were interestingly in accordance with previous reports on X-ray structures of other norbornane maleimide derivatives as CypD inhibitors. According to this, Asn144, Phe102 and Phe155 served as important residues in providing stable binding pose of lurasidone through both exo and endo conformations. Although experimental results are necessary to be achieved, the outcomes of this study proposed the potentiality of some thioxanthene and benzisothiazole-based antipsychotics for binding to S1PL and CypD, respectively, as MS-related targets.

PMID:36958175 | DOI:10.1016/j.msard.2023.104622

Clin Exp Metastasis. 2023 Mar 23. doi: 10.1007/s10585-023-10202-0. Online ahead of print.

ABSTRACT

Brain metastasis is the main cause of treatment failure and melanoma-related death. Inadequate concentrations of therapeutic drugs in the brain due to the blood-brain barrier (BBB) pose a major challenge in the treatment of brain metastasis. Antipsychotics can cross the BBB to reach the brain. Fluphenazine (FPZ) inhibits the survival of melanoma cells in vitro. However, its efficacy in suppressing the metastasis of melanoma, especially brain metastasis, remains unknown. Therefore, we explored whether fluphenazine (FPZ) can be repurposed for treating melanoma metastasis. A subcutaneous tumor model, and experimental metastasis models that simulate the outgrowth of melanoma cells in the brain, lung, and bone were established to verify the inhibitory effect of FPZ on melanoma cells. FPZ showed potential inhibitory effects against melanoma both in vivo and in vitro. It induced G0/G1 phase arrest and-mitochondrion-mediated intrinsic apoptosis, and inhibited autophagic flux in melanoma cells in vitro. In vivo, subcutaneous tumor, brain, lung, and bone models of metastatic melanoma were established. Intraperitoneal injection of FPZ (8 mg/kg) significantly inhibited melanoma growth in the subcutaneous and experimental metastasis models. In a lung metastasis model, FPZ reduced the proportion of M2 macrophages and increased the proportion of CD8+ T cells and NK cells in vivo, thereby promoting an anticancer immune response. The findings of this study indicate that FPZ is a potential drug candidate for treating metastatic melanoma.

PMID:36952079 | DOI:10.1007/s10585-023-10202-0