Drug Repositioning
A polo-like kinase inhibitor identified by computational repositioning attenuates pulmonary fibrosis
Respir Res. 2023 Jun 2;24(1):148. doi: 10.1186/s12931-023-02446-x.
ABSTRACT
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a fatal fibrotic lung disease with few effective therapeutic options. Recently, drug repositioning, which involves identifying novel therapeutic potentials for existing drugs, has been popularized as a new approach for the development of novel therapeutic reagents. However, this approach has not yet been fully utilized in the field of pulmonary fibrosis.
METHODS: The present study identified novel therapeutic options for pulmonary fibrosis using a systematic computational approach for drug repositioning based on integration of public gene expression signatures of drug and diseases (in silico screening approach).
RESULTS: Among the top compounds predicted to be therapeutic for IPF by the in silico approach, we selected BI2536, a polo-like kinase (PLK) 1/2 inhibitor, as a candidate for treating pulmonary fibrosis using an in silico analysis. However, BI2536 accelerated mortality and weight loss rate in an experimental mouse model of pulmonary fibrosis. Because immunofluorescence staining revealed that PLK1 expression was dominant in myofibroblasts while PLK2 expression was dominant in lung epithelial cells, we next focused on the anti-fibrotic effect of the selective PLK1 inhibitor GSK461364. Consequently, GSK461364 attenuated pulmonary fibrosis with acceptable mortality and weight loss in mice.
CONCLUSIONS: These findings suggest that targeting PLK1 may be a novel therapeutic approach for pulmonary fibrosis by inhibiting lung fibroblast proliferation without affecting lung epithelial cells. In addition, while in silico screening is useful, it is essential to fully determine the biological activities of candidates by wet-lab validation studies.
PMID:37269004 | DOI:10.1186/s12931-023-02446-x
Review deciphering potent therapeutic approaches targeting Notch signaling pathway in breast cancer
Biomed Pharmacother. 2023 May 31;164:114938. doi: 10.1016/j.biopha.2023.114938. Online ahead of print.
ABSTRACT
In the current period of drug development, natural products have provided an unrivaled supply of anticancer medications. By modifying the cancer microenvironment and various signaling pathways, natural products and their derivatives and analogs play a significant role in cancer treatment. These substances are effective against several signaling pathways, particularly the cell death pathways (apoptosis and autophagy) and embryonic developmental pathways (Notch, Wnt, and Hedgehog pathways). Natural products have a long history, but more research is needed to understand their current function in the research and development of cancer treatments and the potential for natural products to serve as a significant source of therapeutic agents in the future. Several target-specific anticancer medications failed to treat cancer, necessitating research into natural compounds with multiple target properties. To help develop a better treatment plan for managing breast cancer, this review has outlined the anticancerous potential of several therapeutic approaches targeting the notch signaling system in breast tumors.
PMID:37267635 | DOI:10.1016/j.biopha.2023.114938
Computational design of medicinal compounds to inhibit RBD-hACE2 interaction in the Omicron variant: unveiling a vulnerable target site
Inform Med Unlocked. 2023;40:101281. doi: 10.1016/j.imu.2023.101281. Epub 2023 May 25.
ABSTRACT
The COVID-19 pandemic, caused by SARS-CoV-2, has globally affected both human health and economy. Several variants with a high potential for reinfection and the ability to evade immunity were detected shortly after the initial reported case of COVID-19. A total of 30 mutations in the spike protein (S) have been reported in the SARS-CoV-2 (BA.2) variant in India and South Africa, while half of these mutations are in the receptor-binding domain and have spread rapidly throughout the world. Drug repurposing offers potential advantages over the discovery of novel drugs, and one is that it can be delivered quickly without lengthy assessments and time-consuming clinical trials. In this study, computational drug design, such as pharmacophore-based virtual screening and MD simulation has been concentrated, in order to find a novel small molecular inhibitor that prevents hACE2 from binding to the receptor binding domain (RBD). three medicinal compound databases: North-East African, North African, and East African were screened and carried out a multi-step screening approach that identified three compounds, which are thymoquinol 2-O-beta-glucopyranoside (C1), lanneaflavonol (C2), and naringenin-4'-methoxy-7-O-Alpha-L-rhamnoside (C3), with excellent anti-viral properties against the RBD of the omicron variant. Furthermore, PAIN assay interference, computation bioactivity prediction, binding free energy, and dissociation constant were used to validate the top hits, which indicated good antiviral activity. The three compounds that were found may be useful against COVID-19, though more research is required. These findings could aid the development of novel therapeutic drugs against the emerging Omicron variant of SARS-CoV-2.
PMID:37265644 | PMC:PMC10210851 | DOI:10.1016/j.imu.2023.101281
Spontaneous Repositioning of Significant Blow-out Orbital Roof Fracture Associated With Intracranial Hematoma
J Craniofac Surg. 2023 Jun 1;34(4):e401-e403. doi: 10.1097/SCS.0000000000009369. Epub 2023 Jun 1.
ABSTRACT
Orbital roof fractures are relatively rare facial bone fractures that usually occur in conjunction with other facial bone fractures or intracranial hematoma during high-velocity facial trauma. This study reports a patient with a significant blow-out orbital roof fracture combined with a nondisplaced frontal bone fracture and epidural hematoma at the superior aspect of unilateral frontoparietal convexity. Despite the severe superiorly-displaced fracture segment, the follow-up computed tomography scans taken 4 days after the injury showed a spontaneous reduction of blow-out orbital roof fracture. At the 1-week follow-up, the coronal image of craniofacial magnetic resonance imaging was taken, showing spontaneous realignment of orbital roof fracture and physiological evolution of cerebral contusion. In conclusion, conservative treatment can acquire the best outcome regarding cosmesis and function unless the patient requires an emergent operation for other medical conditions. This is key for successfully returning the patient's form and function.
PMID:37262413 | DOI:10.1097/SCS.0000000000009369
A phase II study of metformin plus pemetrexed and carboplatin in patients with non-squamous non-small cell lung cancer (METALUNG)
Med Oncol. 2023 Jun 1;40(7):192. doi: 10.1007/s12032-023-02057-y.
ABSTRACT
Immune checkpoint inhibitors (ICIs) ± chemotherapy is the standard treatment for driver mutation-negative non-small cell lung cancer (NSCLC). However, accessibility to ICIs in LMICs is limited due to high cost, and platinum-based chemotherapy remains the mainstay of treatment. Metformin has anticancer properties, and studies suggest synergism between metformin and pemetrexed. Based on preclinical evidence, this combination may be more beneficial for STK11-mutated NSCLC, a subgroup, inherently resistant to ICIs. In this Simon two-stage, single-arm phase 2 trial, we investigated metformin with pemetrexed-carboplatin (PC) in patients with treatment-naive stage IV non-squamous NSCLC. The primary outcome was 6-month progression-free survival (PFS) rate. Secondary outcomes were safety, overall survival (OS), overall response rate (ORR), proportion of STK11 mutation, and effect of STK11 mutation on 6-month PFS rate. The study was terminated for futility after interim analysis. The median follow-up was 34.1 months. The 6-month PFS rate was 28% (95% CI 12.4-0.46). The median PFS and OS were 4.5 (95% CI 2.2-6.1) and 7.4 months (95% CI 5.3-15.3), respectively. The ORR was 72%. Gastrointestinal toxicities were the most common. No grade 4/5 toxicities were reported. Targeted sequencing was possible in nine cases. Two patients had STK11 mutation and a poor outcome (PFS < 12 weeks). We could not demonstrate the benefit of metformin with CP in terms of improvement in 6-month PFS rate; however, the combination was safe (CTRI/2019/02/017815).
PMID:37261532 | DOI:10.1007/s12032-023-02057-y
Realm of proteomics in breast cancer management and drug repurposing to alleviate intricacies of treatment
Proteomics Clin Appl. 2023 May 31:e2300016. doi: 10.1002/prca.202300016. Online ahead of print.
ABSTRACT
Breast cancer, a multi-networking heterogeneous disease, has emerged as a serious impediment to progress in clinical oncology. Although technological advancements and emerging cancer research studies have mitigated breast cancer lethality, a precision cancer-oriented solution has not been achieved. Thus, this review will persuade the acquiescence of proteomics-based diagnostic and therapeutic options in breast cancer management. Recently, the evidence of breast cancer health surveillance through imaging proteomics, single-cell proteomics, interactomics, and post-translational modification (PTM) tracking, to construct proteome maps and proteotyping for stage-specific and sample-specific cancer subtyping have outperformed conventional ways of dealing with breast cancer by increasing diagnostic efficiency, prognostic value, and predictive response. Additionally, the paradigm shift in applied proteomics for designing a chemotherapy regimen to identify novel drug targets with minor adverse effects has been elaborated. Finally, the potential of proteomics in alleviating the occurrence of chemoresistance and enhancing reprofiled drugs' effectiveness to combat therapeutic obstacles has been discussed. Owing to the enormous potential of proteomics techniques, the clinical recognition of proteomics in breast cancer management can be achievable and therapeutic intricacies can be surmountable.
PMID:37259687 | DOI:10.1002/prca.202300016
In Silico Screening of Drugs That Target Different Forms of E Protein for Potential Treatment of COVID-19
Pharmaceuticals (Basel). 2023 Feb 14;16(2):296. doi: 10.3390/ph16020296.
ABSTRACT
Recently the E protein of SARS-CoV-2 has become a very important target in the potential treatment of COVID-19 since it is known to regulate different stages of the viral cycle. There is biochemical evidence that E protein exists in two forms, as monomer and homopentamer. An in silico screening analysis was carried out employing 5852 ligands (from Zinc databases), and performing an ADMET analysis, remaining a set of 2155 compounds. Furthermore, docking analysis was performed on specific sites and different forms of the E protein. From this study we could identify that the following ligands showed the highest binding affinity: nilotinib, dutasteride, irinotecan, saquinavir and alectinib. We carried out some molecular dynamics simulations and free energy MM-PBSA calculations of the protein-ligand complexes (with the mentioned ligands). Of worthy interest is that saquinavir, nilotinib and alectinib are also considered as a promising multitarget ligand because it seems to inhibit three targets, which play an important role in the viral cycle. On the other side, saquinavir was shown to be able to bind to E protein both in its monomeric as well as pentameric forms. Finally, further experimental assays are needed to probe our hypothesis derived from in silico studies.
PMID:37259437 | DOI:10.3390/ph16020296
Drug Discovery and Development Targeting Dementia
Pharmaceuticals (Basel). 2023 Jan 19;16(2):151. doi: 10.3390/ph16020151.
ABSTRACT
Dementia, most often associated with neurodegenerative diseases, affects millions of people worldwide, predominantly the elderly. Unfortunately, no treatment is still available. Therefore, there is an urgent need to address this situation. This review presents the state of the art of drug discovery and developments in targeting dementia. Several approaches are discussed, such as drug repurposing, the use of small molecules, and phosphodiesterase inhibitors. Furthermore, the review also provides insights into clinical trials of these molecules. Emphasis has been placed on small molecules and multi-target-directed ligands, as well as disease-modifying therapies. Finally, attention is drawn to the possibilities of applications of nanotechnology in managing dementia.
PMID:37259302 | DOI:10.3390/ph16020151
Toceranib phosphate (Palladia) reverses type 1 diabetes by preserving islet function in mice
J Vet Med Sci. 2023 May 31. doi: 10.1292/jvms.23-0154. Online ahead of print.
ABSTRACT
In recent years, strategies targeting β-cell protection via autoimmune regulation have been suggested as novel and potent immunotherapeutic interventions against type 1 diabetes mellitus (T1D). Here, we investigated the potential of toceranib (TOC), a receptor-type tyrosine kinase (RTK) inhibitor used in veterinary practice, to ameliorate T1D. TOC reversed streptozotocin-induced T1D and improved the abnormalities in muscle and bone metabolism characteristic of T1D. Histopathological examination revealed that TOC significantly suppressed β-cell depletion and improved glycemic control with restoration of serum insulin levels. However, the effect of TOC on blood glucose levels and insulin secretion capacity is attenuated in chronic T1D, a more β-cell depleted state. These findings suggest that TOC improves glycemic control by ameliorating the streptozotocin-induced decrease in insulin secretory capacity. Finally, we examined the role of platelet-derived growth factor receptor (PDGFR) inhibition, a target of TOC, and found that inhibition of PDGFR reverses established T1D in mice. Our results show that TOC reverses T1D by preserving islet function via inhibition of RTK. The previously unrecognized pharmacological properties of TOC have been revealed, and these properties could lead to its application in the treatment of T1D in the veterinary field.
PMID:37258127 | DOI:10.1292/jvms.23-0154
Repurposing CD5789 as an Antimicrobial Agent Against MRSA and Its High Resistant Phonotypes
Curr Microbiol. 2023 May 31;80(7):230. doi: 10.1007/s00284-023-03332-x.
ABSTRACT
Methicillin-resistant Staphylococcus aureus (MRSA) poses a great threat to human health, and the formation of biofilm and persister cells make the situation even worse. Drug repurposing is an effective way to solve this problem by shortening the drug development times and reducing the research costs. In this study, CD5789 (trifarotene), a fourth-generation retinoid to be approved by the FDA in 2019 for the topical acne vulgaris regimens, was exhibited antimicrobial activity against MRSA type strains and its clinical isolates with the minimal concentration (MIC) of 2-4 μg/mL and 4-16 μg/mL, respectively, in a dose-dependent manner. By crystal violet staining, we found that CD5789 could inhibit the biofilm formation by MRSA and could further eradicate the pre-formed biofilm at the concentration of 8 μg/mL. By checkerboard dilution assay, sub-MIC of CD5789 showed synergistic antimicrobial effects with sub-MIC of gentamycin against MRSA type strains as well as clinical isolates. In addition, CD5789 also exhibited effective bactericidal activity against MRSA persister cells at the concentration of 8 ~ 16 μg/mL. Extremely low cytotoxicity of CD5789 was observed by CCK-8 assay indicated the well tolerability to human body. In all, CD5789 has the potential to be an alternative for the treatment of refractory MRSA-related infections.
PMID:37256372 | DOI:10.1007/s00284-023-03332-x
Drug repurposing: Metformin's effect against liver tissue damage in diabetes and prostate cancer model
J Diabetes Metab Disord. 2022 Dec 2;22(1):225-236. doi: 10.1007/s40200-022-01109-w. eCollection 2023 Jun.
ABSTRACT
BACKGROUND: There are evidences linking diabetes to the pathogenesis and progression of various cancers. Metformin is a well-known antidiabetic drug that reduces the levels of circulating glucose and insulin in patients with both insulin resistance and hyperinsulinemia. Aim of the present study was to evaluate the effect of metformin on the liver of rats bearing prostate cancer, diabetes and prostate cancer + diabetes via histopathological and biochemical methods.
METHODS: Male Copenhagen rats were divided into six groups. Control group, diabetic group, cancer group, diabetic + cancer group, diabetic + cancer + metformin group, cancer + metformin group. Diabetes was induced by injecting single dose of streptozotocin (65 mg/kg) to Copenhagen rats, cancer induced 2 × 104 Mat-LyLu cells. Metformin treatment was administered daily by gavage following inocculation of the Mat- Lylu cells to fifth and sixth group. The experiment was terminated on the 14th day following Mat-LyLu cell injection. At the end of the experimental period, the rats were sacrificed, and liver tissue was taken. Liver damage was scored. Biochemically, serum prostate-specific antigen level was determined by employing Enzyme Linked Immuno Sorbent Assay method. In addition, the activities of different enzyme and biochemical parameters were determined spectrophotometrically inform the hepatic tissue specimens.
RESULTS: The findings of this study reveal that histopathological and biochemical damage in cancer and diabetic + cancer groups decreased significantly in the metformin treated groups.
CONCLUSION: These highlights that the antidiabetic drug metformin can be repositioned for attenuating liver tissue damage associated with prostate cancer and diabetes.
PMID:37255805 | PMC:PMC10225428 | DOI:10.1007/s40200-022-01109-w
Question of Whether Tenofovir Disoproxil Fumarate/Emtricitabine Provides Protection Against Clinical Severity of Coronavirus Disease 2019
Clin Infect Dis. 2023 May 24;76(10):1735-1737. doi: 10.1093/cid/ciad086.
NO ABSTRACT
PMID:37253130 | DOI:10.1093/cid/ciad086
NHGNN-DTA: A Node-adaptive Hybrid Graph Neural Network for Interpretable Drug-target Binding Affinity Prediction
Bioinformatics. 2023 May 30:btad355. doi: 10.1093/bioinformatics/btad355. Online ahead of print.
ABSTRACT
MOTIVATION: Large-scale prediction of drug-target affinity (DTA) plays an important role in drug discovery. In recent years, machine learning algorithms have made great progress in DTA prediction by utilizing sequence or structural information of both drugs and proteins. However, sequence-based algorithms ignore the structural information of molecules and proteins, while graph-based algorithms are insufficient in feature extraction and information interaction.
RESULTS: In this paper, we propose NHGNN-DTA, a node-adaptive hybrid neural network for interpretable DTA prediction. It can adaptively acquire feature representations of drugs and proteins and allow information to interact at the graph level, effectively combining the advantages of both sequence-based and graph-based approaches. Experimental results have shown that NHGNN-DTA achieved new state-of-the-art performance. It achieved the mean squared error (MSE) of 0.196 on the Davis dataset (below 0.2 for the first time) and 0.124 on the KIBA dataset (3% improvement). Meanwhile, in the case of cold start scenario, NHGNN-DTA proved to be more robust and more effective with unseen inputs than baseline methods. Furthermore, the multi-head self-attention mechanism endows the model with interpretability, providing new exploratory insights for drug discovery. The case study on Omicron variants of SARS-CoV-2 illustrates the efficient utilization of drug repurposing in COVID-19.
AVAILABILITY: The source code and data are available at https://github.com/hehh77/NHGNN-DTA.
PMID:37252835 | DOI:10.1093/bioinformatics/btad355
An overview on medicinal plants used for combating coronavirus: Current potentials and challenges
J Agric Food Res. 2023 Sep;13:100632. doi: 10.1016/j.jafr.2023.100632. Epub 2023 May 20.
ABSTRACT
Worldwide, Severe acute respiratory syndrome Coronavirus (SARS-CoV-2) pandemic crisis, causing many morbidities, mortality, and devastating impact on economies, so the current outbreak of the CoV-2 is a major concern for global health. The infection spread quickly and caused chaos in many countries around the world. The slow discovery of CoV-2 and the limited treatment options are among the main challenges. Therefore, the development of a drug that is safe and effective against CoV-2 is urgently needed. The present overview briefly summarizes CoV-2 drug targets ex: RNA-dependent RNA polymerase (RdRp), papain-like protease (PLpro), 3-chymotrypsin-like protease (3CLpro), transmembrane serine protease enzymes (TMPRSS2), angiotensin-converting enzyme 2 (ACE2), structural protein (N, S, E, and M), and virulence factors (NSP1, ORF7a, and NSP3c) for which drug design perspective can be considered. In addition, summarize all anti-COVID-19 medicinal plants and phytocompounds and their mechanisms of action to be used as a guide for further studies.
PMID:37251276 | PMC:PMC10198795 | DOI:10.1016/j.jafr.2023.100632
Target Discovery Using Deep Learning-Based Molecular Docking and Predicted Protein Structures With AlphaFold for Novel Antipsychotics
Psychiatry Investig. 2023 May 30. doi: 10.30773/pi.2022.0343. Online ahead of print.
ABSTRACT
OBJECTIVE: New drugs are needed to treat antipsychotic-resistant schizophrenia, especially those with clozapine-resistant schizophrenia. Atypical antipsychotics have predominantly 5-HT2A and dopaminergic antagonism, but also require investigation of other receptors.
METHODS: In this study, the binding affinities between clozapine, olanzapine, and quetiapine with neuropharmacological, immunological, and metabolic receptors were measured using GNINA (Deep Learning Based Molecular Docking) and AlphaFold (Predicted Protein Structures).
RESULTS: Through this study, it was determined that these antipsychotics showed high binding affinity to a variety of receptors, such as CB2, 5-HT1BR, NPYR4, and CCR5. Cyclosporin A and everolimus which show high affinities with those receptors could be used for the development of new antipsychotic drugs based on these drugs.
CONCLUSION: In the future, the method used in this study will be applied to the development of new antipsychotic drugs, including drug repositioning, and to the discovery of the pathophysiology of schizophrenia.
PMID:37248690 | DOI:10.30773/pi.2022.0343
The relevance of acid sphingomyelinase as a potential target for therapeutic intervention in hepatic disorders: current scenario and anticipated trends
Arch Toxicol. 2023 May 29. doi: 10.1007/s00204-023-03529-w. Online ahead of print.
ABSTRACT
Acid sphingomyelinase (ASMase) serves as one of the most remarkable enzymes in sphingolipid biology. ASMase facilitates the hydrolysis of sphingomyelin, yielding ceramide and phosphorylcholine via the phospholipase C signal transduction pathway. Owing to its prominent intervention in apoptosis, ASMase, and its product ceramide is now at the bleeding edge of lipid research due to the coalesced efforts of several research institutions over the past 40 years. ASMase-catalyzed ceramide synthesis profoundly alters the physiological properties of membrane structure in response to a broad range of stimulations, orchestrating signaling cascades for endoplasmic reticulum stress, autophagy, and lysosomal membrane permeabilization, which influences the development of hepatic disorders, such as steatohepatitis, hepatic fibrosis, drug-induced liver injury, and hepatocellular carcinoma. As a result, the potential to modulate the ASMase action with appropriate pharmaceutical antagonists has sparked a lot of curiosity. This article emphasizes the fundamental mechanisms of the systems that govern ASMase aberrations in various hepatic pathologies. Furthermore, we present an insight into the potential therapeutic agents used to mitigate ASMase irregularities and the paramountcy of such inhibitors in drug repurposing.
PMID:37248308 | DOI:10.1007/s00204-023-03529-w
From a drug repositioning to a structure-based drug design approach to tackle acute lymphoblastic leukemia
Nat Commun. 2023 May 29;14(1):3079. doi: 10.1038/s41467-023-38668-2.
ABSTRACT
Cancer cells utilize the main de novo pathway and the alternative salvage pathway for deoxyribonucleotide biosynthesis to achieve adequate nucleotide pools. Deoxycytidine kinase is the rate-limiting enzyme of the salvage pathway and it has recently emerged as a target for anti-proliferative therapies for cancers where it is essential. Here, we present the development of a potent inhibitor applying an iterative multidisciplinary approach, which relies on computational design coupled with experimental evaluations. This strategy allows an acceleration of the hit-to-lead process by gradually implementing key chemical modifications to increase affinity and activity. Our lead compound, OR0642, is more than 1000 times more potent than its initial parent compound, masitinib, previously identified from a drug repositioning approach. OR0642 in combination with a physiological inhibitor of the de novo pathway doubled the survival rate in a human T-cell acute lymphoblastic leukemia patient-derived xenograft mouse model, demonstrating the proof-of-concept of this drug design strategy.
PMID:37248212 | DOI:10.1038/s41467-023-38668-2
Phenelzine protects against acetaminophen induced apoptosis in HepG2 cells
Drug Chem Toxicol. 2023 May 29:1-9. doi: 10.1080/01480545.2023.2217696. Online ahead of print.
ABSTRACT
Acetaminophen (APAP) overdosing is the most common cause of drug-induced liver failure. Despite extensive study, N-acetylcysteine is currently the only antidote utilized for treatment. The purpose of this study was to evaluate the effect and mechanisms of phenelzine, an FDA-approved antidepressant, on APAP-induced toxicity in HepG2 cells. The human liver hepatocellular cell line HepG2 was used to investigate APAP-induced cytotoxicity. The protective effects of phenelzine were determined by examining the cell viability, combination index calculation, Caspase 3/7 activation, Cytochrome c release, H2O2 levels, NO levels, GSH activity, PERK protein levels, and pathway enrichment analysis. Elevated H2O2 production and decreased glutathione (GSH) levels were indicators of APAP-induced oxidative stress. The combination index of 2.04 indicated that phenelzine had an antagonistic effect on APAP-induced toxicity. When compared to APAP alone, phenelzine treatment considerably reduced caspase 3/7 activation, cytochrome c release, and H2O2 generation. However, phenelzine had minimal effect on NO and GSH levels and did not alleviate ER stress. Pathway enrichment analysis revealed a potential connection between APAP toxicity and phenelzine metabolism. These findings suggested that phenelzine's protective effect against APAP-induced cytotoxicity could be attributed to the drug's capacity to reduce APAP-mediated apoptotic signaling.
PMID:37246945 | DOI:10.1080/01480545.2023.2217696
Network pharmacology approaches for research of Traditional Chinese Medicines
Chin J Nat Med. 2023 May;21(5):323-332. doi: 10.1016/S1875-5364(23)60429-7.
ABSTRACT
Pharmacodynamics material basis and effective mechanisms are the two main issues to decipher the mechnisms of action of Traditional Chinese medicines (TCMs) for the treatment of diseases. TCMs, in "multi-component, multi-target, multi-pathway" paradigm, show satisfactory clinical results in complex diseases. New ideas and methods are urgently needed to explain the complex interactions between TCMs and diseases. Network pharmacology (NP) provides a novel paradigm to uncover and visualize the underlying interaction networks of TCMs against multifactorial diseases. The development and application of NP has promoted the safety, efficacy, and mechanism investigations of TCMs, which then reinforces the credibility and popularity of TCMs. The current organ-centricity of medicine and the "one disease-one target-one drug" dogma obstruct the understanding of complex diseases and the development of effective drugs. Therefore, more attentions should be paid to shift from "phenotype and symptom" to "endotype and cause" in understanding and redefining current diseases. In the past two decades, with the advent of advanced and intelligent technologies (such as metabolomics, proteomics, transcriptomics, single-cell omics, and artificial intelligence), NP has been improved and deeply implemented, and presented its great value and potential as the next drug-discovery paradigm. NP is developed to cure causal mechanisms instead of treating symptoms. This review briefly summarizes the recent research progress on NP application in TCMs for efficacy research, mechanism elucidation, target prediction, safety evaluation, drug repurposing, and drug design.
PMID:37245871 | DOI:10.1016/S1875-5364(23)60429-7
Repurposing of Doramectin as a New Anti-Zika Virus Agent
Viruses. 2023 Apr 27;15(5):1068. doi: 10.3390/v15051068.
ABSTRACT
Zika virus (ZIKV), belonging to the Flavivirus family and mainly transmitted by mosquitoes, causes a variety of adverse outcomes, including Guillain-Barré syndrome, microcephaly, and meningoencephalitis. However, there are no approved vaccines or drugs available for ZIKV. The discovery and research on drugs for ZIKV are still essential. In this study, we identified doramectin, an approved veterinary antiparasitic drug, as a novel anti-ZIKV agent (EC50 value from 0.85 μM to 3.00 μM) with low cytotoxicity (CC50 > 50 μM) in multiple cellular models. The expression of ZIKV proteins also decreased significantly under the treatment of doramectin. Further study showed that doramectin directly interacted with the key enzyme for ZIKV genome replication, RNA-dependent RNA polymerase (RdRp), with a stronger affinity (Kd = 16.9 μM), which may be related to the effect on ZIKV replication. These results suggested that doramectin might serve as a promising drug candidate for anti-ZIKV.
PMID:37243154 | PMC:PMC10221537 | DOI:10.3390/v15051068