In-silico drug repurposing study predicts the combination of pirfenidone and melatonin as a promising candidate therapy to reduce SARS-CoV-2 infection progression and respiratory distress caused by cytokine storm
From January 2020, COVID-19 is spreading around the world producing serious respiratory symptoms in infected patients that in some cases can be complicated by the severe acute respiratory syndrome, sepsis and septic shock, multiorgan failure, including acute kidney injury and cardiac injury. Cost an...
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creator | Artigas, Laura Coma, Mireia Matos-Filipe, Pedro Aguirre-Plans, Joaquim Farrés, Judith Valls, Raquel Fernandez-Fuentes, Narcis de la Haba-Rodriguez, Juan Olvera, Alex Barbera, Jose Morales, Rafael Oliva, Baldo Mas, Jose Manuel Srinivasan, Narayanaswamy |
description | From January 2020, COVID-19 is spreading around the world producing serious respiratory symptoms in infected patients that in some cases can be complicated by the severe acute respiratory syndrome, sepsis and septic shock, multiorgan failure, including acute kidney injury and cardiac injury. Cost and time efficient approaches to reduce the burthen of the disease are needed. To find potential COVID-19 treatments among the whole arsenal of existing drugs, we combined system biology and artificial intelligence-based approaches. The drug combination of pirfenidone and melatonin has been identified as a candidate treatment that may contribute to reduce the virus infection. Starting from different drug targets the effect of the drugs converges on human proteins with a known role in SARS-CoV-2 infection cycle. Simultaneously, GUILDify v2.0 web server has been used as an alternative method to corroborate the effect of pirfenidone and melatonin against the infection of SARS-CoV-2. We have also predicted a potential therapeutic effect of the drug combination over the respiratory associated pathology, thus tackling at the same time two important issues in COVID-19. These evidences, together with the fact that from a medical point of view both drugs are considered safe and can be combined with the current standard of care treatments for COVID-19 makes this combination very attractive for treating patients at stage II, non-severe symptomatic patients with the presence of virus and those patients who are at risk of developing severe pulmonary complications. |
doi_str_mv | 10.1371/journal.pone.0240149 |
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Cost and time efficient approaches to reduce the burthen of the disease are needed. To find potential COVID-19 treatments among the whole arsenal of existing drugs, we combined system biology and artificial intelligence-based approaches. The drug combination of pirfenidone and melatonin has been identified as a candidate treatment that may contribute to reduce the virus infection. Starting from different drug targets the effect of the drugs converges on human proteins with a known role in SARS-CoV-2 infection cycle. Simultaneously, GUILDify v2.0 web server has been used as an alternative method to corroborate the effect of pirfenidone and melatonin against the infection of SARS-CoV-2. We have also predicted a potential therapeutic effect of the drug combination over the respiratory associated pathology, thus tackling at the same time two important issues in COVID-19. These evidences, together with the fact that from a medical point of view both drugs are considered safe and can be combined with the current standard of care treatments for COVID-19 makes this combination very attractive for treating patients at stage II, non-severe symptomatic patients with the presence of virus and those patients who are at risk of developing severe pulmonary complications.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0240149</identifier><identifier>PMID: 33006999</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Artificial intelligence ; Bioinformatics ; Biology ; Biology and Life Sciences ; Clinical trials ; Complications ; Complications and side effects ; Computer and Information Sciences ; Coronaviruses ; COVID-19 ; Cytokine storm ; Cytokines ; Development and progression ; Drug therapy ; Drugs ; Funding ; Gene expression ; Infections ; Injury prevention ; Medical treatment ; Medicine and health sciences ; Melatonin ; Methods ; Patient outcomes ; Patients ; Pirfenidone ; Proteins ; Renal failure ; Respiratory diseases ; Respiratory distress syndrome ; Sepsis ; Septic shock ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Signs and symptoms ; Software ; Supervision ; Therapeutic targets ; Viral diseases ; Viruses</subject><ispartof>PloS one, 2020-10, Vol.15 (10), p.e0240149-e0240149</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Artigas et al. 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Cost and time efficient approaches to reduce the burthen of the disease are needed. To find potential COVID-19 treatments among the whole arsenal of existing drugs, we combined system biology and artificial intelligence-based approaches. The drug combination of pirfenidone and melatonin has been identified as a candidate treatment that may contribute to reduce the virus infection. Starting from different drug targets the effect of the drugs converges on human proteins with a known role in SARS-CoV-2 infection cycle. Simultaneously, GUILDify v2.0 web server has been used as an alternative method to corroborate the effect of pirfenidone and melatonin against the infection of SARS-CoV-2. We have also predicted a potential therapeutic effect of the drug combination over the respiratory associated pathology, thus tackling at the same time two important issues in COVID-19. These evidences, together with the fact that from a medical point of view both drugs are considered safe and can be combined with the current standard of care treatments for COVID-19 makes this combination very attractive for treating patients at stage II, non-severe symptomatic patients with the presence of virus and those patients who are at risk of developing severe pulmonary complications.</description><subject>Artificial intelligence</subject><subject>Bioinformatics</subject><subject>Biology</subject><subject>Biology and Life Sciences</subject><subject>Clinical trials</subject><subject>Complications</subject><subject>Complications and side effects</subject><subject>Computer and Information Sciences</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Cytokine storm</subject><subject>Cytokines</subject><subject>Development and progression</subject><subject>Drug therapy</subject><subject>Drugs</subject><subject>Funding</subject><subject>Gene 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combination of pirfenidone and melatonin as a promising candidate therapy to reduce SARS-CoV-2 infection progression and respiratory distress caused by cytokine storm</atitle><jtitle>PloS one</jtitle><date>2020-10-02</date><risdate>2020</risdate><volume>15</volume><issue>10</issue><spage>e0240149</spage><epage>e0240149</epage><pages>e0240149-e0240149</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>From January 2020, COVID-19 is spreading around the world producing serious respiratory symptoms in infected patients that in some cases can be complicated by the severe acute respiratory syndrome, sepsis and septic shock, multiorgan failure, including acute kidney injury and cardiac injury. Cost and time efficient approaches to reduce the burthen of the disease are needed. To find potential COVID-19 treatments among the whole arsenal of existing drugs, we combined system biology and artificial intelligence-based approaches. The drug combination of pirfenidone and melatonin has been identified as a candidate treatment that may contribute to reduce the virus infection. Starting from different drug targets the effect of the drugs converges on human proteins with a known role in SARS-CoV-2 infection cycle. Simultaneously, GUILDify v2.0 web server has been used as an alternative method to corroborate the effect of pirfenidone and melatonin against the infection of SARS-CoV-2. We have also predicted a potential therapeutic effect of the drug combination over the respiratory associated pathology, thus tackling at the same time two important issues in COVID-19. These evidences, together with the fact that from a medical point of view both drugs are considered safe and can be combined with the current standard of care treatments for COVID-19 makes this combination very attractive for treating patients at stage II, non-severe symptomatic patients with the presence of virus and those patients who are at risk of developing severe pulmonary complications.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>33006999</pmid><doi>10.1371/journal.pone.0240149</doi><tpages>e0240149</tpages><orcidid>https://orcid.org/0000-0002-1971-1350</orcidid><orcidid>https://orcid.org/0000-0003-0702-0250</orcidid><oa>free_for_read</oa></addata></record> |
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source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Artificial intelligence Bioinformatics Biology Biology and Life Sciences Clinical trials Complications Complications and side effects Computer and Information Sciences Coronaviruses COVID-19 Cytokine storm Cytokines Development and progression Drug therapy Drugs Funding Gene expression Infections Injury prevention Medical treatment Medicine and health sciences Melatonin Methods Patient outcomes Patients Pirfenidone Proteins Renal failure Respiratory diseases Respiratory distress syndrome Sepsis Septic shock Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Signs and symptoms Software Supervision Therapeutic targets Viral diseases Viruses |
title | In-silico drug repurposing study predicts the combination of pirfenidone and melatonin as a promising candidate therapy to reduce SARS-CoV-2 infection progression and respiratory distress caused by cytokine storm |
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