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All Studies   Meta Analysis    Recent:   

Revealing the targets and mechanisms of vitamin A in the treatment of COVID-19

Li et al., Aging, doi:10.18632/aging.103888
Aug 2020  
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Vitamin A for COVID-19
41st treatment shown to reduce risk in June 2023
 
*, now known with p = 0.021 from 14 studies.
Lower risk for recovery and cases.
No treatment is 100% effective. Protocols combine complementary and synergistic treatments. * >10% efficacy in meta analysis with ≥3 clinical studies.
4,200+ studies for 70+ treatments. c19early.org
Bioinformatics and network pharmacology analysis identifying potential mechanisms of action of vitamin A for COVID-19.
10 preclinical studies support the efficacy of vitamin A for COVID-19:
Vitamin A has been identified by the European Food Safety Authority (EFSA) as having sufficient evidence for a causal relationship between intake and optimal immune system function10-12. Vitamin A has potent antiviral activity against SARS-CoV-2 in both human cell lines and human organoids of the lower respiratory tract (active metabolite all-trans retinoic acid, ATRA)7, is predicted to bind critical host and viral proteins for SARS-CoV-2 and may compensate for gene expression changes related to SARS-CoV-21-3, may be beneficial for COVID-19 via antiviral, anti-inflammatory, and immunomodulatory effects according to network pharmacology analysis4, reduces barrier compromise caused by TNF-α in Calu-3 cells6, inhibits mouse coronavirus replication9, may stimulate innate immunity by activating interferon responses in an IRF3-dependent manner (ATRA)9, may reduce excessive inflammation induced by SARS-CoV-21, shows SARS-CoV-2 antiviral activity In Vitro1,5,8, is effective against multiple SARS-CoV-2 variants in Calu-3 cells8, and inhibits the entry and replication of SARS-CoV-2 via binding to ACE2 / 3CLpro / RdRp / helicase / 3′-to-5′ exonuclease1.
Li et al., 15 Aug 2020, peer-reviewed, 7 authors.
In Silico studies are an important part of preclinical research, however results may be very different in vivo.
This PaperVitamin AAll
Revealing the targets and mechanisms of vitamin A in the treatment of COVID-19
Rong Li, Ka Wu, Yu Li, Xiao Liang, William Ka, Fai Tse, Lu Yang, Keng Po
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), an epidemic disease characterized by rapid infection and a high death toll. The clinical diagnosis of patients with COVID-19 has risen sharply, especially in Western countries. Globally, an effective treatment for COVID-19 is still limited. Vitamin A (VA) exhibits pharmacological activity in the management of pneumonia. Thus, we reason that VA may potentially serve as an anti-SARS-CoV-2 regimen. In this study, bioinformatics analysis and computation assays using a network pharmacology method were conducted to explore and uncover the therapeutic targets and mechanisms of VA for treating COVID-19. We identified candidate targets, pharmacological functions, and therapeutic pathways of VA against SARS-CoV-2. Bioinformatics findings indicate that the mechanisms of action of VA against SARS-CoV-2 include enrichment of immunoreaction, inhibition of inflammatory reaction, and biological processes related to reactive oxygen species. Furthermore, seven core targets of VA against COVID-19, including MAPK1, IL10, EGFR, ICAM1, MAPK14, CAT, and PRKCB were identified. With this bioinformatics-based report, we reveal, for the first time, the anti-SARS-CoV-2 functions and mechanisms of VA and suggest that VA may act as a potent treatment option for COVID-19, a deadly global epidemic.
Abbreviations CAT: Catalase; EGFR: Epidermal growth factor receptor; ICAM1: Intercellular Adhesion Molecule 1; IL10: Interleukin 10; KEGG: Kyoto Encyclopedia of Genes and Genomes; MAPK1: Mitogen-Activated Protein Kinase 1; MAPK14: Mitogen-activated protein kinase 14; OMIM: Online Mendelian Inheritance in Man; PRKCB: Protein kinase C beta type; TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform. CONFLICTS OF INTEREST The authors declare that they have no conflicts of interest. AGING SUPPLEMENTARY MATERIALS Supplementary Tables Please browse Full Text version to see the data of Supplementary Table 1 . 1 . Gene ontology analysis (biological process) using the identified seven core targets of VA against SARS-CoV-2. Supplementary Table 2 . KEGG pathway enrichment analysis using the identified seven core targets of VA against SARS-CoV-2. Supplementary Table ID
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targets and molecular mechanisms of curcumol ' 'against interstitial cystitis.', 'volume': '2', 'author': 'Su', 'year': '2019', 'journal-title': 'J Adv Res'}, { 'key': '36', 'doi-asserted-by': 'publisher', 'first-page': '103200', 'DOI': '10.1016/j.etap.2019.103200', 'article-title': 'Bioinformatic and experimental data decipher the pharmacological ' 'targets and mechanisms of plumbagin against hepatocellular carcinoma.', 'volume': '7', 'author': 'Li', 'year': '2019', 'journal-title': 'Environ Toxicol Pharmacol'}, { 'key': '37', 'doi-asserted-by': 'publisher', 'DOI': '10.1093/bib/bbaa079', 'article-title': 'Therapeutic targets and signaling mechanisms of vitamin C activity ' 'against sepsis: a bioinformatics study.', 'author': 'Huang', 'year': '2020', 'journal-title': 'Brief Bioinform'}, { 'key': '38', 'doi-asserted-by': 'publisher', 'first-page': '4765', 'DOI': '10.1039/d0fo00421a', 'article-title': 'Therapeutic target and molecular mechanism of vitamin c-treated ' 'pneumonia: a systematic study of network pharmacology.', 'volume': '1', 'author': 'Huang', 'year': '2020', 'journal-title': 'Food Funct'}, { 'key': '39', 'doi-asserted-by': 'publisher', 'first-page': '158', 'DOI': '10.1002/biof.1583', 'article-title': 'Pharmacological biotargets and the molecular mechanisms of ' 'oxyresveratrol treating colorectal cancer: network and experimental ' 'analyses.', 'volume': '4', 'author': 'Zhou', 'year': '2020', 'journal-title': 'Biofactors'}, { 'key': '40', 'doi-asserted-by': 'publisher', 'DOI': '10.1002/jcb.28404', 'article-title': 'Anti-colorectal cancer targets of resveratrol and biological molecular ' 'mechanism: analyses of network pharmacology, human and experimental ' 'data.', 'author': 'Zhou', 'year': '2019', 'journal-title': 'J Cell Biochem'}, { 'key': '41', 'doi-asserted-by': 'publisher', 'first-page': '912', 'DOI': '10.1002/biof.1558', 'article-title': 'Network analysis, and human and animal studies disclose the ' 'anticystitis glandularis effects of vitamin C.', 'volume': '4', 'author': 'Wu', 'year': '2019', 'journal-title': 'Biofactors'}, { 'key': '42', 'doi-asserted-by': 'publisher', 'first-page': '173227', 'DOI': '10.1016/j.ejphar.2020.173227', 'article-title': 'Pharmacological targets and molecular mechanisms of plumbagin to treat ' 'colorectal cancer: a systematic pharmacology study.', 'volume': '88', 'author': 'Yang', 'year': '2020', 'journal-title': 'Eur J Pharmacol'}], 'container-title': 'Aging', 'original-title': [], 'language': 'en', 'link': [ { 'URL': 'https://www.aging-us.com/lookup/doi/10.18632/aging.103888', 'content-type': 'unspecified', 'content-version': 'vor', 'intended-application': 'similarity-checking'}], 'deposited': { 'date-parts': [[2020, 10, 9]], 'date-time': '2020-10-09T13:24:29Z', 'timestamp': 1602249869000}, 'score': 1, 'resource': {'primary': {'URL': 'https://www.aging-us.com/lookup/doi/10.18632/aging.103888'}}, 'subtitle': [], 'short-title': [], 'issued': {'date-parts': [[2020, 8, 15]]}, 'references-count': 42, 'journal-issue': {'issue': '15', 'published-print': {'date-parts': [[2020, 8, 15]]}}, 'alternative-id': ['103888', '32805728'], 'URL': 'http://dx.doi.org/10.18632/aging.103888', 'relation': {}, 'ISSN': ['1945-4589'], 'subject': [], 'container-title-short': 'Aging', 'published': {'date-parts': [[2020, 8, 15]]}}
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