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Zhang X, Gao H, Chen X, Liu Z, Wang H, Cui M, Li Y, Yu Y, Chen S, Xing X, Chen L, Li D, Zeng X, Wang Q. Identification of sanguinarine as a novel antagonist for perfluorooctanoate/perfluorooctane sulfonate-induced senescence of hepatocytes: An integrated computational and experimental analysis. JOURNAL OF HAZARDOUS MATERIALS 2024; 478:135583. [PMID: 39180998 DOI: 10.1016/j.jhazmat.2024.135583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 08/09/2024] [Accepted: 08/18/2024] [Indexed: 08/27/2024]
Abstract
Perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS), two prominent per- and polyfluoroalkyl substances (PFASs), are potentially harmful to many human organs. However, there only exist limited methods to mitigate their health hazards. The aim of this study is to combine a bioinformatics analysis with in vitro experiments to discover small molecules that can alleviate liver damage caused by PFOA/PFOS. We identified 192 and 82 key genes related to hepatocytes exposed to PFOA and PFOS, respectively. The functional enrichment analysis of key genes suggested cellular senescence may be important in PFOA/PFOS-induced hepatotoxicity. The in vitro models revealed that PFOA/PFOS led to hepatocyte senescence by increasing the activity of SA-β-gal, inducing mitochondrial dysfunction, impacting cell cycle arrest, and elevating the expressions of p21, p53, IL-1β, and SASP-related cytokines. The drug-target gene set enrichment analysis method was employed to compare the transcriptome data from the Gene Expression Omnibus database (GEO), Comparative Toxicogenomics Database (CTD), and the high-throughput experiment- and reference-guided database (HERB), and 21 traditional Chinese medicines (TCMs) were identified that may alleviate PFOA/PFOS-induced liver aging. The experimental results of co-exposure to PFOA/PFOS and TCMs showed that sanguinarine has particular promise in alleviating cellular senescence caused by PFOA/PFOS. Further investigations revealed that the mTOR-p53 signaling pathway was involved in PFOA/PFOS-mediated hepatic senescence and can be blocked using sanguinarine.
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Affiliation(s)
- Xue Zhang
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Huan Gao
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiaoyu Chen
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Ziqi Liu
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Han Wang
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Mengxing Cui
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yajie Li
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Infinitus (China) Company Ltd, Guangzhou 510623, China
| | - Yongjiang Yu
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shen Chen
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiumei Xing
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Liping Chen
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Daochuan Li
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiaowen Zeng
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qing Wang
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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Takundwa MM, Thimiri Govinda Raj DB. Novel strategies for drug repurposing. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2024; 205:9-21. [PMID: 38789188 DOI: 10.1016/bs.pmbts.2024.03.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2024]
Abstract
Synthetic biology, precision medicine, and nanobiotechnology are the three main emerging areas that drive translational innovation toward commercialization. There are several strategies used in precision medicine and drug repurposing is one of the key approaches as it addresses the challenges in drug discovery (high cost and time). Here, we provide a perspective on various new approaches to drug repurposing for cancer precision medicine. We report here our optimized wound healing methodology that can be used to validate drug sensitivity and drug repurposing. Using HeLa as our benchmark, we demonstrated that the assay can be applied to identify drugs that limit cell proliferation. From a future perspective, this assay can be expanded to ex vivo culturing of solid tumors in 2D culture and leukemia in 3D culture.
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Affiliation(s)
- Mutsa Monica Takundwa
- Synthetic Nanobiotechnology and Biomachines, Synthetic Biology and Precision Medicine Centre, Future Production Chemicals Cluster, Council for Scientific and Industrial Research, Pretoria, South Africa
| | - Deepak B Thimiri Govinda Raj
- Synthetic Nanobiotechnology and Biomachines, Synthetic Biology and Precision Medicine Centre, Future Production Chemicals Cluster, Council for Scientific and Industrial Research, Pretoria, South Africa.
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Mumby S, Adcock IM. Recent evidence from omic analysis for redox signalling and mitochondrial oxidative stress in COPD. J Inflamm (Lond) 2022; 19:10. [PMID: 35820851 PMCID: PMC9277949 DOI: 10.1186/s12950-022-00308-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 06/27/2022] [Indexed: 11/30/2022] Open
Abstract
COPD is driven by exogenous and endogenous oxidative stress derived from inhaled cigarette smoke, air pollution and reactive oxygen species from dysregulated mitochondria in activated inflammatory cells within the airway and lung. This is compounded by the loss in antioxidant defences including FOXO and NRF2 and other antioxidant transcription factors together with various key enzymes that attenuate oxidant effects. Oxidative stress enhances inflammation; airway remodelling including fibrosis and emphysema; post-translational protein modifications leading to autoantibody generation; DNA damage and cellular senescence. Recent studies using various omics technologies in the airways, lungs and blood of COPD patients has emphasised the importance of oxidative stress, particularly that derived from dysfunctional mitochondria in COPD and its role in immunity, inflammation, mucosal barrier function and infection. Therapeutic interventions targeting oxidative stress should overcome the deleterious pathologic effects of COPD if targeted to the lung. We require novel, more efficacious antioxidant COPD treatments among which mitochondria-targeted antioxidants and Nrf2 activators are promising.
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Yu Y. Repurposing glucocorticoids as adjuvant reagents for immune checkpoint inhibitors in solid cancers. Cancer Biol Med 2021; 18:j.issn.2095-3941.2021.0491. [PMID: 34697935 PMCID: PMC8610151 DOI: 10.20892/j.issn.2095-3941.2021.0491] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 09/13/2021] [Indexed: 11/11/2022] Open
Affiliation(s)
- Yingyan Yu
- Department of General Surgery, Ruijin Hospital, Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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Drug Repurposing for the Management of Depression: Where Do We Stand Currently? Life (Basel) 2021; 11:life11080774. [PMID: 34440518 PMCID: PMC8398872 DOI: 10.3390/life11080774] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 07/20/2021] [Accepted: 07/26/2021] [Indexed: 12/22/2022] Open
Abstract
A slow rate of new drug discovery and higher costs of new drug development attracted the attention of scientists and physicians for the repurposing and repositioning of old medications. Experimental studies and off-label use of drugs have helped drive data for further studies of approving these medications. A deeper understanding of the pathogenesis of depression encourages novel discoveries through drug repurposing and drug repositioning to treat depression. In addition to reducing neurotransmitters like epinephrine and serotonin, other mechanisms such as inflammation, insufficient blood supply, and neurotoxicants are now considered as the possible involved mechanisms. Considering the mentioned mechanisms has resulted in repurposed medications to treat treatment-resistant depression (TRD) as alternative approaches. This review aims to discuss the available treatments and their progress way during repositioning. Neurotransmitters’ antagonists, atypical antipsychotics, and CNS stimulants have been studied for the repurposing aims. However, they need proper studies in terms of formulation, matching with regulatory standards, and efficacy.
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Arakelyan A, Melkonyan A, Hakobyan S, Boyarskih U, Simonyan A, Nersisyan L, Nikoghosyan M, Filipenko M, Binder H. Transcriptome Patterns of BRCA1- and BRCA2- Mutated Breast and Ovarian Cancers. Int J Mol Sci 2021; 22:1266. [PMID: 33525353 PMCID: PMC7865215 DOI: 10.3390/ijms22031266] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 01/06/2021] [Accepted: 01/07/2021] [Indexed: 02/06/2023] Open
Abstract
Mutations in the BRCA1 and BRCA2 genes are known risk factors and drivers of breast and ovarian cancers. So far, few studies have been focused on understanding the differences in transcriptome and functional landscapes associated with the disease (breast vs. ovarian cancers), gene (BRCA1 vs. BRCA2), and mutation type (germline vs. somatic). In this study, we were aimed at systemic evaluation of the association of BRCA1 and BRCA2 germline and somatic mutations with gene expression, disease clinical features, outcome, and treatment. We performed BRCA1/2 mutation centered RNA-seq data analysis of breast and ovarian cancers from the TCGA repository using transcriptome and phenotype "portrayal" with multi-layer self-organizing maps and functional annotation. The results revealed considerable differences in BRCA1- and BRCA2-dependent transcriptome landscapes in the studied cancers. Furthermore, our data indicated that somatic and germline mutations for both genes are characterized by deregulation of different biological functions and differential associations with phenotype characteristics and poly(ADP-ribose) polymerase (PARP)-inhibitor gene signatures. Overall, this study demonstrates considerable variation in transcriptomic landscapes of breast and ovarian cancers associated with the affected gene (BRCA1 vs. BRCA2), as well as the mutation type (somatic vs. germline). These results warrant further investigations with larger groups of mutation carriers aimed at refining the understanding of molecular mechanisms of breast and ovarian cancers.
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Affiliation(s)
- Arsen Arakelyan
- Group of Bioinformatics, Institute of Molecular Biology National Academy of Sciences of Armenia, 0014 Yerevan, Armenia; (S.H.); (A.S.); (L.N.); (M.N.)
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, 0051 Yerevan, Armenia
| | - Ani Melkonyan
- Laboratory of Human Genomics and Immunomics, Institute of Molecular Biology National Academy of Sciences of Armenia, 0014 Yerevan, Armenia;
| | - Siras Hakobyan
- Group of Bioinformatics, Institute of Molecular Biology National Academy of Sciences of Armenia, 0014 Yerevan, Armenia; (S.H.); (A.S.); (L.N.); (M.N.)
| | - Uljana Boyarskih
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences (SB RAS), 630090 Novosibirsk, Russia; (U.B.); (M.F.)
| | - Arman Simonyan
- Group of Bioinformatics, Institute of Molecular Biology National Academy of Sciences of Armenia, 0014 Yerevan, Armenia; (S.H.); (A.S.); (L.N.); (M.N.)
| | - Lilit Nersisyan
- Group of Bioinformatics, Institute of Molecular Biology National Academy of Sciences of Armenia, 0014 Yerevan, Armenia; (S.H.); (A.S.); (L.N.); (M.N.)
| | - Maria Nikoghosyan
- Group of Bioinformatics, Institute of Molecular Biology National Academy of Sciences of Armenia, 0014 Yerevan, Armenia; (S.H.); (A.S.); (L.N.); (M.N.)
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, 0051 Yerevan, Armenia
| | - Maxim Filipenko
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences (SB RAS), 630090 Novosibirsk, Russia; (U.B.); (M.F.)
| | - Hans Binder
- Interdisciplinary Centre for Bioinformatics, University of Leipzig, D-04107 Leipzig, Germany;
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Schmidt M, Hopp L, Arakelyan A, Kirsten H, Engel C, Wirkner K, Krohn K, Burkhardt R, Thiery J, Loeffler M, Loeffler-Wirth H, Binder H. The Human Blood Transcriptome in a Large Population Cohort and Its Relation to Aging and Health. Front Big Data 2020; 3:548873. [PMID: 33693414 PMCID: PMC7931910 DOI: 10.3389/fdata.2020.548873] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 09/02/2020] [Indexed: 02/06/2023] Open
Abstract
Background: The blood transcriptome is expected to provide a detailed picture of an organism's physiological state with potential outcomes for applications in medical diagnostics and molecular and epidemiological research. We here present the analysis of blood specimens of 3,388 adult individuals, together with phenotype characteristics such as disease history, medication status, lifestyle factors, and body mass index (BMI). The size and heterogeneity of this data challenges analytics in terms of dimension reduction, knowledge mining, feature extraction, and data integration. Methods: Self-organizing maps (SOM)-machine learning was applied to study transcriptional states on a population-wide scale. This method permits a detailed description and visualization of the molecular heterogeneity of transcriptomes and of their association with different phenotypic features. Results: The diversity of transcriptomes is described by personalized SOM-portraits, which specify the samples in terms of modules of co-expressed genes of different functional context. We identified two major blood transcriptome types where type 1 was found more in men, the elderly, and overweight people and it upregulated genes associated with inflammation and increased heme metabolism, while type 2 was predominantly found in women, younger, and normal weight participants and it was associated with activated immune responses, transcriptional, ribosomal, mitochondrial, and telomere-maintenance cell-functions. We find a striking overlap of signatures shared by multiple diseases, aging, and obesity driven by an underlying common pattern, which was associated with the immune response and the increase of inflammatory processes. Conclusions: Machine learning applications for large and heterogeneous omics data provide a holistic view on the diversity of the human blood transcriptome. It provides a tool for comparative analyses of transcriptional signatures and of associated phenotypes in population studies and medical applications.
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Affiliation(s)
- Maria Schmidt
- IZBI, Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Leipzig, Germany
| | - Lydia Hopp
- IZBI, Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Leipzig, Germany
| | - Arsen Arakelyan
- BIG, Group of Bioinformatics, Institute of Molecular Biology, National Academy of Sciences, Yerevan, Armenia
| | - Holger Kirsten
- IMISE, Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.,Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Christoph Engel
- IMISE, Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.,Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Kerstin Wirkner
- IMISE, Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.,Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Knut Krohn
- Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany.,Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany
| | - Ralph Burkhardt
- Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany.,Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany
| | - Joachim Thiery
- Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany.,Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany
| | - Markus Loeffler
- IZBI, Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Leipzig, Germany.,IMISE, Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.,Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Henry Loeffler-Wirth
- IZBI, Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Leipzig, Germany
| | - Hans Binder
- IZBI, Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Leipzig, Germany.,Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
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Abstract
PURPOSE OF REVIEW Sarcoidosis is a systemic disease characterized by granulomatous inflammation of unknown cause. There is extensive heterogeneity between patients with respect to the number and types of organs involved, disease course, and response to therapy. Recent research in the field has leveraged 'omics' techniques such as transcriptomics to identify important 'molecular profiles' in the disease. These tools may help in identifying clinically useful biomarkers and targets for therapy. RECENT FINDINGS Several studies have used gene expression profiling of predesignated lists or the entire genome to find genes and markers that differentiate sarcoidosis from healthy controls, but only a few have compared sarcoidosis patients based on disease phenotypes and organ involvement. The common gene pathways that have been repeatedly identified include those related to the interferon response, T-cell receptor signaling, and the major histocompatibility complex. SUMMARY While the molecular profiling studies to date offer the ability to compare sarcoidosis and health as well as across tissues, further longitudinal studies that include sarcoidosis patients with varying outcomes with respect to organ involvement and response to treatment are needed to identify clinically important phenotypes in the disease that can then be differentiated based on molecular features.
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Affiliation(s)
- Nicholas K. Arger
- University of California, San Francisco, Division of Pulmonary and Critical Care, 505 Parnassus Ave, San Francisco, CA 94143, USA
| | - Brian O’Connor
- National Jewish Health, Center for Genes, Environment, & Health, 1400 Jackson St, Denver, CO 80206, USA
| | - Laura L. Koth
- University of California, San Francisco, Division of Pulmonary and Critical Care, 505 Parnassus Ave, San Francisco, CA 94143, USA
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Garman L, Montgomery CG, Rivera NV. Recent advances in sarcoidosis genomics: epigenetics, gene expression, and gene by environment (G × E) interaction studies. Curr Opin Pulm Med 2020; 26:544-553. [PMID: 32701681 PMCID: PMC7735660 DOI: 10.1097/mcp.0000000000000719] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW We aim to review the most recent findings in genomics of sarcoidosis and highlight the gaps in the field. RECENT FINDINGS Original explorations of sarcoidosis subphenotypes, including cases associated with the World Trade Center and ocular sarcoidosis, have identified novel risk loci. Innovative gene--environment interaction studies utilizing modern analytical techniques have discovered risk loci associated with smoking and insecticide exposure. The application of whole-exome sequencing has identified genetic variants associated with persistent sarcoidosis and rare functional variations. A single epigenomics study has provided background knowledge of DNA methylation mechanisms in comparison with gene expression data. The application of machine-learning techniques has suggested new drug repositioning for the treatment of sarcoidosis. Several gene expression studies have identified prominent inflammatory pathways enriched in the affected tissue. SUMMARY Certainly, sarcoidosis research has recently advanced in the exploration of disease subphenotypes, utilizing novel analytical techniques, and including measures of clinical variation. Nevertheless, large-scale and diverse cohorts investigated with advanced sequencing methods, such as whole-genome and single-cell RNA sequencing, epigenomics, and meta-analysis coupled with cutting-edge analytic approaches, when employed, will broaden and translate genomics findings into clinical applications, and ultimately open venues for personalized medicine.
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Affiliation(s)
- Lori Garman
- Department of Genes and Human Disease, Oklahoma Medical Research Foundation, Oklahoma City, OK
| | - Courtney G. Montgomery
- Department of Genes and Human Disease, Oklahoma Medical Research Foundation, Oklahoma City, OK
| | - Natalia V. Rivera
- Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Rheumatology Division, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Center of Molecular Medicine (CMM), Karolinska Institutet, Stockholm, Sweden
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Loganathan T, Ramachandran S, Shankaran P, Nagarajan D, Mohan S S. Host transcriptome-guided drug repurposing for COVID-19 treatment: a meta-analysis based approach. PeerJ 2020; 8:e9357. [PMID: 32566414 PMCID: PMC7293190 DOI: 10.7717/peerj.9357] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 05/24/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been declared a pandemic by the World Health Organization, and the identification of effective therapeutic strategy is a need of the hour to combat SARS-CoV-2 infection. In this scenario, the drug repurposing approach is widely used for the rapid identification of potential drugs against SARS-CoV-2, considering viral and host factors. METHODS We adopted a host transcriptome-based drug repurposing strategy utilizing the publicly available high throughput gene expression data on SARS-CoV-2 and other respiratory infection viruses. Based on the consistency in expression status of host factors in different cell types and previous evidence reported in the literature, pro-viral factors of SARS-CoV-2 identified and subject to drug repurposing analysis based on DrugBank and Connectivity Map (CMap) using the web tool, CLUE. RESULTS The upregulated pro-viral factors such as TYMP, PTGS2, C1S, CFB, IFI44, XAF1, CXCL2, and CXCL3 were identified in early infection models of SARS-CoV-2. By further analysis of the drug-perturbed expression profiles in the connectivity map, 27 drugs that can reverse the expression of pro-viral factors were identified, and importantly, twelve of them reported to have anti-viral activity. The direct inhibition of the PTGS2 gene product can be considered as another therapeutic strategy for SARS-CoV-2 infection and could suggest six approved PTGS2 inhibitor drugs for the treatment of COVID-19. The computational study could propose candidate repurposable drugs against COVID-19, and further experimental studies are required for validation.
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Affiliation(s)
- Tamizhini Loganathan
- School of Chemical & Biotechnology, SASTRA Deemed to be University, Thanjavur, India
| | - Srimathy Ramachandran
- School of Chemical & Biotechnology, SASTRA Deemed to be University, Thanjavur, India
| | - Prakash Shankaran
- School of Chemical & Biotechnology, SASTRA Deemed to be University, Thanjavur, India
| | - Devipriya Nagarajan
- School of Chemical & Biotechnology, SASTRA Deemed to be University, Thanjavur, India
| | - Suma Mohan S
- School of Chemical & Biotechnology, SASTRA Deemed to be University, Thanjavur, India
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11
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Jia Z, Song X, Shi J, Wang W, He K. Transcriptome-based drug repositioning for coronavirus disease 2019 (COVID-19). Pathog Dis 2020; 78:ftaa036. [PMID: 32667665 PMCID: PMC7454646 DOI: 10.1093/femspd/ftaa036] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 07/07/2020] [Indexed: 12/28/2022] Open
Abstract
The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) around the world has led to a pandemic with high morbidity and mortality. However, there are no effective drugs to prevent and treat the disease. Transcriptome-based drug repositioning, identifying new indications for old drugs, is a powerful tool for drug development. Using bronchoalveolar lavage fluid transcriptome data of COVID-19 patients, we found that the endocytosis and lysosome pathways are highly involved in the disease and that the regulation of genes involved in neutrophil degranulation was disrupted, suggesting an intense battle between SARS-CoV-2 and humans. Furthermore, we implemented a coexpression drug repositioning analysis, cogena, and identified two antiviral drugs (saquinavir and ribavirin) and several other candidate drugs (such as dinoprost, dipivefrine, dexamethasone and (-)-isoprenaline). Notably, the two antiviral drugs have also previously been identified using molecular docking methods, and ribavirin is a recommended drug in the diagnosis and treatment protocol for COVID pneumonia (trial version 5-7) published by the National Health Commission of the P.R. of China. Our study demonstrates the value of the cogena-based drug repositioning method for emerging infectious diseases, improves our understanding of SARS-CoV-2-induced disease, and provides potential drugs for the prevention and treatment of COVID-19 pneumonia.
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Affiliation(s)
- Zhilong Jia
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
- Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
| | - Xinyu Song
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
- Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
| | - Jinlong Shi
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
- Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
| | - Weidong Wang
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
- Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
| | - Kunlun He
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
- Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
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