Pub Date : 2022-10-12DOI: 10.3389/fddsv.2022.1015545
M. A. C. Williams, B. Shankar, J. Vaishnav, M. Ranek
Cardiac amyloidosis is a progressive disorder caused by the deposition of amyloid, abnormal proteins that aggregate to form insoluble plaques in the myocardium resulting in restrictive cardiomyopathy. The two most common subtypes of cardiac amyloidosis are immunoglobulin light chain (AL) and transthyretin (TTR) amyloid cardiomyopathy (ATTR-CM). ATTR-CM can further be subdivided into two main categories, wild-type or hereditary TTR. TTR is a homotetrameric protein complex that is synthesized in the liver and is secreted into the circulation for retinol and vitamin A transfer. Genetic mutations in the TTR gene can disrupt the thermodynamic stability of the homotetrameric complex causing dissociation into monomers that, when taken up by the myocardium, will aggregate to form insoluble fibers. Though the mechanism of wild-type TTR is not fully elucidated, it is thought to be an age-related process. Myocardial uptake and aggregation of TTR monomeric subunits result in cytotoxicity, impaired cardiac function, and eventually heart failure. Historically, ATTR-CM had a poor prognosis, with no therapeutics available to specifically target ATTR-CM and treatment focused on managing symptoms and disease-related complications. In 2019, the FDA approved the first-in-class TTR stabilizer for ATTR-CM, which has led to improved outcomes. In recent years, several promising novel therapies have emerged which aim to target various points of the ATTR-CM amyloidogenic cascade. In this review, we discuss the mechanistic underpinnings of ATTR-CM, review current FDA-approved strategies for treatment, and highlight ongoing research efforts as potential therapeutic options in the future.
{"title":"Current and potential therapeutic strategies for transthyretin cardiac amyloidosis","authors":"M. A. C. Williams, B. Shankar, J. Vaishnav, M. Ranek","doi":"10.3389/fddsv.2022.1015545","DOIUrl":"https://doi.org/10.3389/fddsv.2022.1015545","url":null,"abstract":"Cardiac amyloidosis is a progressive disorder caused by the deposition of amyloid, abnormal proteins that aggregate to form insoluble plaques in the myocardium resulting in restrictive cardiomyopathy. The two most common subtypes of cardiac amyloidosis are immunoglobulin light chain (AL) and transthyretin (TTR) amyloid cardiomyopathy (ATTR-CM). ATTR-CM can further be subdivided into two main categories, wild-type or hereditary TTR. TTR is a homotetrameric protein complex that is synthesized in the liver and is secreted into the circulation for retinol and vitamin A transfer. Genetic mutations in the TTR gene can disrupt the thermodynamic stability of the homotetrameric complex causing dissociation into monomers that, when taken up by the myocardium, will aggregate to form insoluble fibers. Though the mechanism of wild-type TTR is not fully elucidated, it is thought to be an age-related process. Myocardial uptake and aggregation of TTR monomeric subunits result in cytotoxicity, impaired cardiac function, and eventually heart failure. Historically, ATTR-CM had a poor prognosis, with no therapeutics available to specifically target ATTR-CM and treatment focused on managing symptoms and disease-related complications. In 2019, the FDA approved the first-in-class TTR stabilizer for ATTR-CM, which has led to improved outcomes. In recent years, several promising novel therapies have emerged which aim to target various points of the ATTR-CM amyloidogenic cascade. In this review, we discuss the mechanistic underpinnings of ATTR-CM, review current FDA-approved strategies for treatment, and highlight ongoing research efforts as potential therapeutic options in the future.","PeriodicalId":73080,"journal":{"name":"Frontiers in drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43326129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-12DOI: 10.3389/fddsv.2022.920850
K. Reghunandanan, Rajesh Chandramohanadas
Malaria remains a health and economic burden, particularly in marginalized populations worldwide. The current strategies for combating malaria rely on eliminating the mosquito vector, using insecticide-treated nets, and other management policies or through the administration of small molecule drugs to perturb the intra-erythrocytic development of the parasite. However, resistance against commonly used drugs such as artemisinin has recently become a concern necessitating the identification of novel pharmacophores with unique mechanisms of action. This review summarizes the various life-stage events of the malaria parasite, Plasmodium falciparum, during the in vitro development, which can be targeted by different classes of small molecules. We also describe various chemically induced phenotypes and methods to ascertain and validate drug-induced changes to derive early insights into which cellular mechanisms are affected.
{"title":"Chemically induced phenotypes during the blood stage development of Plasmodium falciparum as indicators of the drug mode of action","authors":"K. Reghunandanan, Rajesh Chandramohanadas","doi":"10.3389/fddsv.2022.920850","DOIUrl":"https://doi.org/10.3389/fddsv.2022.920850","url":null,"abstract":"Malaria remains a health and economic burden, particularly in marginalized populations worldwide. The current strategies for combating malaria rely on eliminating the mosquito vector, using insecticide-treated nets, and other management policies or through the administration of small molecule drugs to perturb the intra-erythrocytic development of the parasite. However, resistance against commonly used drugs such as artemisinin has recently become a concern necessitating the identification of novel pharmacophores with unique mechanisms of action. This review summarizes the various life-stage events of the malaria parasite, Plasmodium falciparum, during the in vitro development, which can be targeted by different classes of small molecules. We also describe various chemically induced phenotypes and methods to ascertain and validate drug-induced changes to derive early insights into which cellular mechanisms are affected.","PeriodicalId":73080,"journal":{"name":"Frontiers in drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41955676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.3389/fddsv.2022.1033395
J. McDermott, D. Sturtevant, Umesh Kathad, S. Varma, Jianli Zhou, A. Kulkarni, Neha Biyani, Caleb Schimke, W. Reinhold, Fathi Elloumi, Peter Carr, Y. Pommier, K. Bhatia
Over the last decade the next-generation sequencing and ‘omics techniques have become indispensable tools for medicine and drug discovery. These techniques have led to an explosion of publicly available data that often goes under-utilized due to the lack of bioinformatic expertise and tools to analyze that volume of data. Here, we demonstrate the power of applying two novel computational platforms, the NCI’s CellMiner Cross Database and Lantern Pharma’s proprietary artificial intelligence (AI) and machine learning (ML) RADR® platform, to identify biological insights and potentially new target indications for the acylfulvene derivative drugs LP-100 (Irofulven) and LP-184. Analysis of multi-omics data of both drugs within CellMinerCDB generated discoveries into their mechanism of action, gene sets uniquely enriched to each drug, and how these drugs differed from existing DNA alkylating agents. Data from CellMinerCDB suggested that LP-184 and LP-100 were predicted to be effective in cancers with chromatin remodeling deficiencies, like the ultra-rare and fatal childhood cancer Atypical Teratoid Rhabdoid Tumors (ATRT). Lantern’s AI and ML RADR® platform was then utilized to build a model to test, in silico, if LP-184 would be efficacious in ATRT patients. In silico, RADR® aided in predicting that, indeed, ATRT would be sensitive to LP-184, which was then validated in vitro and in vivo. Applying computational tools and AI, like CellMinerCDB and RADR®, are novel and efficient translational approaches to drug discovery for rare cancers like ATRT.
{"title":"Artificial intelligence platform, RADR®, aids in the discovery of DNA damaging agent for the ultra-rare cancer Atypical Teratoid Rhabdoid Tumors","authors":"J. McDermott, D. Sturtevant, Umesh Kathad, S. Varma, Jianli Zhou, A. Kulkarni, Neha Biyani, Caleb Schimke, W. Reinhold, Fathi Elloumi, Peter Carr, Y. Pommier, K. Bhatia","doi":"10.3389/fddsv.2022.1033395","DOIUrl":"https://doi.org/10.3389/fddsv.2022.1033395","url":null,"abstract":"Over the last decade the next-generation sequencing and ‘omics techniques have become indispensable tools for medicine and drug discovery. These techniques have led to an explosion of publicly available data that often goes under-utilized due to the lack of bioinformatic expertise and tools to analyze that volume of data. Here, we demonstrate the power of applying two novel computational platforms, the NCI’s CellMiner Cross Database and Lantern Pharma’s proprietary artificial intelligence (AI) and machine learning (ML) RADR® platform, to identify biological insights and potentially new target indications for the acylfulvene derivative drugs LP-100 (Irofulven) and LP-184. Analysis of multi-omics data of both drugs within CellMinerCDB generated discoveries into their mechanism of action, gene sets uniquely enriched to each drug, and how these drugs differed from existing DNA alkylating agents. Data from CellMinerCDB suggested that LP-184 and LP-100 were predicted to be effective in cancers with chromatin remodeling deficiencies, like the ultra-rare and fatal childhood cancer Atypical Teratoid Rhabdoid Tumors (ATRT). Lantern’s AI and ML RADR® platform was then utilized to build a model to test, in silico, if LP-184 would be efficacious in ATRT patients. In silico, RADR® aided in predicting that, indeed, ATRT would be sensitive to LP-184, which was then validated in vitro and in vivo. Applying computational tools and AI, like CellMinerCDB and RADR®, are novel and efficient translational approaches to drug discovery for rare cancers like ATRT.","PeriodicalId":73080,"journal":{"name":"Frontiers in drug discovery","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41394622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-05DOI: 10.3389/fddsv.2022.1013229
J. Menendez-Gonzalez, K. Strange, Marcella Bassetto, A. Brancale, N. Rodrigues, S. Ferla
Despite major therapeutic advances leading to improved patient outcomes for other haematological malignancies, development of new therapeutics to improve prognosis for acute myeloid leukemia (AML) patients remains an area of unmet clinical need. Overexpression of GATA2, a member of the GATA family of zinc finger transcription factors, has been implicated in AML. In settings where GATA2 is overexpressed in human AML cells, K7174, a proteasome inhibitor that inhibits GATA2, induces apoptosis and enhances the killing activity of AML chemotherapeutics in vitro yet targeting the proteasome has been associated with high toxicity in the clinic. Using an in silico approach, we embarked on a screen to identify specific GATA2 inhibitors that will target AML cells independently of the proteasome. A shape-based virtual screening of an in-house library of small molecules was performed using a low-energy conformation of K7174. The virtual hit compounds were subsequently filtered according to their potential selectivity for GATA2 over the proteasome. From 15 selected compounds evaluated for their ability to kill AML cells in vitro, one compound, an asymmetrical substituted piperazine with Hepatitis C antiviral activity, exhibited superior ability to induce apoptosis and reduce cell cycling in AML cells without proteasome inhibition. This compound was also able to promote cell death of the relapse propagating leukemic stem cell (LSC) compartment while sparing Gata2 knockout LSCs, crucially demonstrating specificity to inhibit GATA2. We have identified a GATA2 specific inhibitor with promising capability to target AML cells in vitro, including LSCs that underpin poor prognosis in AML.
{"title":"Ligand-based discovery of a novel GATA2 inhibitor targeting acute myeloid leukemia cells","authors":"J. Menendez-Gonzalez, K. Strange, Marcella Bassetto, A. Brancale, N. Rodrigues, S. Ferla","doi":"10.3389/fddsv.2022.1013229","DOIUrl":"https://doi.org/10.3389/fddsv.2022.1013229","url":null,"abstract":"Despite major therapeutic advances leading to improved patient outcomes for other haematological malignancies, development of new therapeutics to improve prognosis for acute myeloid leukemia (AML) patients remains an area of unmet clinical need. Overexpression of GATA2, a member of the GATA family of zinc finger transcription factors, has been implicated in AML. In settings where GATA2 is overexpressed in human AML cells, K7174, a proteasome inhibitor that inhibits GATA2, induces apoptosis and enhances the killing activity of AML chemotherapeutics in vitro yet targeting the proteasome has been associated with high toxicity in the clinic. Using an in silico approach, we embarked on a screen to identify specific GATA2 inhibitors that will target AML cells independently of the proteasome. A shape-based virtual screening of an in-house library of small molecules was performed using a low-energy conformation of K7174. The virtual hit compounds were subsequently filtered according to their potential selectivity for GATA2 over the proteasome. From 15 selected compounds evaluated for their ability to kill AML cells in vitro, one compound, an asymmetrical substituted piperazine with Hepatitis C antiviral activity, exhibited superior ability to induce apoptosis and reduce cell cycling in AML cells without proteasome inhibition. This compound was also able to promote cell death of the relapse propagating leukemic stem cell (LSC) compartment while sparing Gata2 knockout LSCs, crucially demonstrating specificity to inhibit GATA2. We have identified a GATA2 specific inhibitor with promising capability to target AML cells in vitro, including LSCs that underpin poor prognosis in AML.","PeriodicalId":73080,"journal":{"name":"Frontiers in drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45531372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-04DOI: 10.3389/fddsv.2022.1019706
M. DiNuzzo
The pharmaceutical industry suffered a significant decline of innovation in the last few decades, whose simple reason is complex biology. Artificial intelligence (AI) promises to make the entire drug discovery and development process more efficient. Here I consider the potential benefits of using AI to deepen our mechanistic understanding of disease by leveraging data and knowledge for modeling and simulation of genome-scale biological networks. I outline recent developments that are moving the field forward and I identify several overarching challenges for advancing the state of the art towards the successful integration of AI with modeling and simulation in drug discovery.
{"title":"How artificial intelligence enables modeling and simulation of biological networks to accelerate drug discovery","authors":"M. DiNuzzo","doi":"10.3389/fddsv.2022.1019706","DOIUrl":"https://doi.org/10.3389/fddsv.2022.1019706","url":null,"abstract":"The pharmaceutical industry suffered a significant decline of innovation in the last few decades, whose simple reason is complex biology. Artificial intelligence (AI) promises to make the entire drug discovery and development process more efficient. Here I consider the potential benefits of using AI to deepen our mechanistic understanding of disease by leveraging data and knowledge for modeling and simulation of genome-scale biological networks. I outline recent developments that are moving the field forward and I identify several overarching challenges for advancing the state of the art towards the successful integration of AI with modeling and simulation in drug discovery.","PeriodicalId":73080,"journal":{"name":"Frontiers in drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42996186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-23DOI: 10.3389/fddsv.2022.969415
Miranda C. Palumbo, E. Sosa, Florencia A Castello, Gustavo Schottlender, F. Serral, A. Turjanski, M. M. Palomino, D. F. Do Porto
Listeria monocytogenes (Lm) is a Gram-positive bacillus responsible for listeriosis in humans. Listeriosis has become a major foodborne illness in recent years. This illness is mainly associated with the consumption of contaminated food and ready-to-eat products. Recently, Lm has developed resistances to a broad range of antimicrobials, including those used as the first choice of therapy. Moreover, multidrug-resistant strains have been detected in clinical isolates and settings associated with food processing. This scenario punctuates the need for novel antimicrobials against Lm. On the other hand, increasingly available omics data for diverse pathogens has created new opportunities for rational drug discovery. Identification of an appropriate molecular target is currently accepted as a critical step of this process. In this work, we generated multiple layers of omics data related to Lm, aiming to prioritize proteins that could serve as attractive targets for antimicrobials against L. monocytogenes. We generated genomic, transcriptomic, metabolic, and protein structural information, and this data compendium was integrated onto a freely available web server (Target Pathogen). Thirty targets with desirable features from a drug development point of view were shortlisted. This set of target proteins participates in key metabolic processes such as fatty acid, pentose, rhamnose, and amino acids metabolism. Collectively, our results point towards novel targets for the control of Lm and related bacteria. We invite researchers working in the field of drug discovery to follow up experimentally on our revealed targets.
{"title":"Integrating diverse layers of omic data to identify novel drug targets in Listeria monocytogenes","authors":"Miranda C. Palumbo, E. Sosa, Florencia A Castello, Gustavo Schottlender, F. Serral, A. Turjanski, M. M. Palomino, D. F. Do Porto","doi":"10.3389/fddsv.2022.969415","DOIUrl":"https://doi.org/10.3389/fddsv.2022.969415","url":null,"abstract":"Listeria monocytogenes (Lm) is a Gram-positive bacillus responsible for listeriosis in humans. Listeriosis has become a major foodborne illness in recent years. This illness is mainly associated with the consumption of contaminated food and ready-to-eat products. Recently, Lm has developed resistances to a broad range of antimicrobials, including those used as the first choice of therapy. Moreover, multidrug-resistant strains have been detected in clinical isolates and settings associated with food processing. This scenario punctuates the need for novel antimicrobials against Lm. On the other hand, increasingly available omics data for diverse pathogens has created new opportunities for rational drug discovery. Identification of an appropriate molecular target is currently accepted as a critical step of this process. In this work, we generated multiple layers of omics data related to Lm, aiming to prioritize proteins that could serve as attractive targets for antimicrobials against L. monocytogenes. We generated genomic, transcriptomic, metabolic, and protein structural information, and this data compendium was integrated onto a freely available web server (Target Pathogen). Thirty targets with desirable features from a drug development point of view were shortlisted. This set of target proteins participates in key metabolic processes such as fatty acid, pentose, rhamnose, and amino acids metabolism. Collectively, our results point towards novel targets for the control of Lm and related bacteria. We invite researchers working in the field of drug discovery to follow up experimentally on our revealed targets.","PeriodicalId":73080,"journal":{"name":"Frontiers in drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46383150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-09DOI: 10.3389/fddsv.2022.963045
Junyan Wu, H. Yao, X. Lv, Suiwen Ye, Nan Zhang
The experimental drug SHR6390 has anti-tumor activity as a cyclin dependent kinase 4/6 inhibitor and is metabolized primarily by the cytochrome P450 3A4 enzyme. Therefore, The purpose of this trial was to evaluate the safety and pharmacokinetics of SHR6390, a potent cytochrome P450 3A4 inhibitor, in healthy Chinese subjects. In this trial study, 18 subjects received a single oral dose of SHR6390 50 mg on day 1, multiple doses of 200 mg itraconazole on days 12–24 for 13 days, and a single oral dose of SHR6390 50 mg on day 15. After coadministration with itraconazole, the maximum plasma concentration (Cmax) of SHR6390 increased by 70.7% (from 14.3 ng/ml to 24.5 ng/ml), and the area under the time curve from 0 to T (AUC0-T) increased by 110.8% from 468 h∙ng/mL to 988 h∙ng/mL. The area under the concentration-time curve extrapolated to ∞(AUC0-∞) increases from 509 H∙ng/mL to 1,040 h∙ng/mL, an increase of 105.1%. Oral gap (CL/F) decreased (47.9 L/h and 98.3 L/h) and apparent volume of distribution (Vz/F) decreased (4190 L and 5890 L). According to common terminology criteria, 15 32 adverse events were reported in 18 subjects (AEs) (27 SHR6390-related AEs and 15 Itraconazole-related AEs), AEs were all Class 1 adverse events. Overall, co-administration of Itraconazole increased the plasma exposure of SHR6390 in healthy subjects. Both SHR6390 alone and co-administration of Itraconazole showed acceptable safety profiles, which warrants further investigation. The experimental drug SHR-6390 of this clinical trial has been applied for registration, which is classified as Chemical drugs Class 1. The study drug SHR6390 registration number:ClinicalTrials.gov Identifier: NCT04423601 (https://clinicaltrials.gov/)
{"title":"Effect of itraconazole on the safety and pharmacokinetics of antitumor SHR6390","authors":"Junyan Wu, H. Yao, X. Lv, Suiwen Ye, Nan Zhang","doi":"10.3389/fddsv.2022.963045","DOIUrl":"https://doi.org/10.3389/fddsv.2022.963045","url":null,"abstract":"The experimental drug SHR6390 has anti-tumor activity as a cyclin dependent kinase 4/6 inhibitor and is metabolized primarily by the cytochrome P450 3A4 enzyme. Therefore, The purpose of this trial was to evaluate the safety and pharmacokinetics of SHR6390, a potent cytochrome P450 3A4 inhibitor, in healthy Chinese subjects. In this trial study, 18 subjects received a single oral dose of SHR6390 50 mg on day 1, multiple doses of 200 mg itraconazole on days 12–24 for 13 days, and a single oral dose of SHR6390 50 mg on day 15. After coadministration with itraconazole, the maximum plasma concentration (Cmax) of SHR6390 increased by 70.7% (from 14.3 ng/ml to 24.5 ng/ml), and the area under the time curve from 0 to T (AUC0-T) increased by 110.8% from 468 h∙ng/mL to 988 h∙ng/mL. The area under the concentration-time curve extrapolated to ∞(AUC0-∞) increases from 509 H∙ng/mL to 1,040 h∙ng/mL, an increase of 105.1%. Oral gap (CL/F) decreased (47.9 L/h and 98.3 L/h) and apparent volume of distribution (Vz/F) decreased (4190 L and 5890 L). According to common terminology criteria, 15 32 adverse events were reported in 18 subjects (AEs) (27 SHR6390-related AEs and 15 Itraconazole-related AEs), AEs were all Class 1 adverse events. Overall, co-administration of Itraconazole increased the plasma exposure of SHR6390 in healthy subjects. Both SHR6390 alone and co-administration of Itraconazole showed acceptable safety profiles, which warrants further investigation. The experimental drug SHR-6390 of this clinical trial has been applied for registration, which is classified as Chemical drugs Class 1. The study drug SHR6390 registration number:ClinicalTrials.gov Identifier: NCT04423601 (https://clinicaltrials.gov/)","PeriodicalId":73080,"journal":{"name":"Frontiers in drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43724388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-08DOI: 10.3389/fddsv.2022.1019705
B. Villoutreix, C. Cavasotto, J. Fernández-Recio
INSERM Unit 1141, Hospital Robert Debré, University of Paris, Paris, France, Computational Drug Design and Biomedical Informatics Laboratory, Instituto de Investigaciones en Medicina Traslacional (IIMT), Universidad Austral-CONICET, Pilar, Argentina, Facultad de Ciencias Biomédicasand Facultad de Ingeniería, Universidad Austral, Pilar, Argentina, Austral Institute for Applied Artificial Intelligence, Universidad Austral, Pilar, Argentina, Institute of Vine and Wine Sciences, Spanish National Research Council (CSIC), Logroño, Spain
{"title":"Editorial: Development of COVID-19 therapies: Lessons learnt and ongoing efforts","authors":"B. Villoutreix, C. Cavasotto, J. Fernández-Recio","doi":"10.3389/fddsv.2022.1019705","DOIUrl":"https://doi.org/10.3389/fddsv.2022.1019705","url":null,"abstract":"INSERM Unit 1141, Hospital Robert Debré, University of Paris, Paris, France, Computational Drug Design and Biomedical Informatics Laboratory, Instituto de Investigaciones en Medicina Traslacional (IIMT), Universidad Austral-CONICET, Pilar, Argentina, Facultad de Ciencias Biomédicasand Facultad de Ingeniería, Universidad Austral, Pilar, Argentina, Austral Institute for Applied Artificial Intelligence, Universidad Austral, Pilar, Argentina, Institute of Vine and Wine Sciences, Spanish National Research Council (CSIC), Logroño, Spain","PeriodicalId":73080,"journal":{"name":"Frontiers in drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48819812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-31DOI: 10.3389/fddsv.2022.962988
C. Kahlenborn, W. Severs, K. Nawab
Various literature cited suggests that bismuth may have usefulness against Covid-19 both in vitro and in vivo. During the course of caring for Covid-19 patients we administered bismuth subsalicylate to those who displayed diarrhea and/or gastric complaints. Using relatively conservative criteria, upon retrospective review, we noted marked improvement in oxygen requirements in most of the cases. This improvement was observed even when prior therapy with standard anti-Covid drugs had failed. Our overall impression is that these positive results support a detailed evaluation of bismuth as an adjunct treatment for the treatment of Covid-19.
{"title":"Bismuth subsalicylate as potential treatment for Covid-19 pneumonia: A case series report","authors":"C. Kahlenborn, W. Severs, K. Nawab","doi":"10.3389/fddsv.2022.962988","DOIUrl":"https://doi.org/10.3389/fddsv.2022.962988","url":null,"abstract":"Various literature cited suggests that bismuth may have usefulness against Covid-19 both in vitro and in vivo. During the course of caring for Covid-19 patients we administered bismuth subsalicylate to those who displayed diarrhea and/or gastric complaints. Using relatively conservative criteria, upon retrospective review, we noted marked improvement in oxygen requirements in most of the cases. This improvement was observed even when prior therapy with standard anti-Covid drugs had failed. Our overall impression is that these positive results support a detailed evaluation of bismuth as an adjunct treatment for the treatment of Covid-19.","PeriodicalId":73080,"journal":{"name":"Frontiers in drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42269330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-26DOI: 10.3389/fddsv.2022.925825
E. Ogbadoyi, Ndagi Umar
The disease which is today known as COVID-19 is caused by severe acute respiratory. Syndrome coronavirus 2 (SARS-COV-2), was first reported in Wuhan, China in December 2019. The disease has claimed well over six million lives from over 500 million cases. Vaccine hesitancy militates against successful mass vaccination. There is the rapid emergence of new SARS-COV-2 variants, constituting a challenge to the effectiveness of vaccines. Moreover, none of the available vaccines offers 100% protection and even the protection offered is of short duration necessitating booster doses to be taken. Moving forward, the development of plant-based edible vaccines will be a remarkable strategic approach to overcome vaccine hesitancy and improve vaccine uptake. So far only about nine drugs for COVID-19 treatment have approvals by either or both the European Medicines Agency and the FDA. While drug repurposing to address the emerging need in the early period of the COVID-19 pandemic has been contextually very useful, investment in it remains relatively low for commercial reasons arising from patenting issues. Embarking on new drug discovery and development strategies targeting both the virus and host factors is a very appealing option. Targeting druggable targets that are present across viruses, particularly the coronaviruses, for drug discovery and development represents an important strategy for pandemic preparedness. Natural products are an important reservoir of chemical scaffolds with huge potential for the discovery of novel chemical entities for development of novel therapeutics. Phytopharming is an available technology that can be used for mass and accelerated production of therapeutic molecules that will be required within short periods of time as is the case in pandemic outbreaks. Nanotechnology provides excellent platforms for formulating multivalent vaccines and pan-viral medicines for the treatment of COVID-19. Taken together, this review discusses the potential for the development of therapeutics by using the tools of biocomputing, nanotechnology, and phytopharming for accelerated therapeutic development to achieve effective COVID-19 treatment and associated complications, including new and emerging variants of SARS-COV-2 and other viral pandemics that may emerge or re-emerge.
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