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AI-guided discovery of the invariant host response to viral pandemics

BACKGROUND: Coronavirus Disease 2019 (Covid-19) continues to challenge the limits of our knowledge and our healthcare system. Here we sought to define the host immune response, a.k.a, the “cytokine storm” that has been implicated in fatal COVID-19 using an AI-based approach. METHOD: Over 45,000 tran...

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Autores principales: Sahoo, Debashis, Katkar, Gajanan D., Khandelwal, Soni, Behroozikhah, Mahdi, Claire, Amanraj, Castillo, Vanessa, Tindle, Courtney, Fuller, MacKenzie, Taheri, Sahar, Rogers, Thomas F., Beutler, Nathan, Ramirez, Sydney I., Rawlings, Stephen A., Pretorius, Victor, Smith, Davey M., Burton, Dennis R., Alexander, Laura E. Crotty, Duran, Jason, Crotty, Shane, Dan, Jennifer M., Das, Soumita, Ghosh, Pradipta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193764/
https://www.ncbi.nlm.nih.gov/pubmed/34127431
http://dx.doi.org/10.1016/j.ebiom.2021.103390
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author Sahoo, Debashis
Katkar, Gajanan D.
Khandelwal, Soni
Behroozikhah, Mahdi
Claire, Amanraj
Castillo, Vanessa
Tindle, Courtney
Fuller, MacKenzie
Taheri, Sahar
Rogers, Thomas F.
Beutler, Nathan
Ramirez, Sydney I.
Rawlings, Stephen A.
Pretorius, Victor
Smith, Davey M.
Burton, Dennis R.
Alexander, Laura E. Crotty
Duran, Jason
Crotty, Shane
Dan, Jennifer M.
Das, Soumita
Ghosh, Pradipta
author_facet Sahoo, Debashis
Katkar, Gajanan D.
Khandelwal, Soni
Behroozikhah, Mahdi
Claire, Amanraj
Castillo, Vanessa
Tindle, Courtney
Fuller, MacKenzie
Taheri, Sahar
Rogers, Thomas F.
Beutler, Nathan
Ramirez, Sydney I.
Rawlings, Stephen A.
Pretorius, Victor
Smith, Davey M.
Burton, Dennis R.
Alexander, Laura E. Crotty
Duran, Jason
Crotty, Shane
Dan, Jennifer M.
Das, Soumita
Ghosh, Pradipta
author_sort Sahoo, Debashis
collection PubMed
description BACKGROUND: Coronavirus Disease 2019 (Covid-19) continues to challenge the limits of our knowledge and our healthcare system. Here we sought to define the host immune response, a.k.a, the “cytokine storm” that has been implicated in fatal COVID-19 using an AI-based approach. METHOD: Over 45,000 transcriptomic datasets of viral pandemics were analyzed to extract a 166-gene signature using ACE2 as a ‘seed’ gene; ACE2 was rationalized because it encodes the receptor that facilitates the entry of SARS-CoV-2 (the virus that causes COVID-19) into host cells. An AI-based approach was used to explore the utility of the signature in navigating the uncharted territory of Covid-19, setting therapeutic goals, and finding therapeutic solutions. FINDINGS: The 166-gene signature was surprisingly conserved across all viral pandemics, including COVID-19, and a subset of 20-genes classified disease severity, inspiring the nomenclatures ViP and severe-ViP signatures, respectively. The ViP signatures pinpointed a paradoxical phenomenon wherein lung epithelial and myeloid cells mount an IL15 cytokine storm, and epithelial and NK cell senescence and apoptosis determine severity/fatality. Precise therapeutic goals could be formulated; these goals were met in high-dose SARS-CoV-2-challenged hamsters using either neutralizing antibodies that abrogate SARS-CoV-2•ACE2 engagement or a directly acting antiviral agent, EIDD-2801. IL15/IL15RA were elevated in the lungs of patients with fatal disease, and plasma levels of the cytokine prognosticated disease severity. INTERPRETATION: The ViP signatures provide a quantitative and qualitative framework for titrating the immune response in viral pandemics and may serve as a powerful unbiased tool to rapidly assess disease severity and vet candidate drugs. FUNDING: This work was supported by the National Institutes for Health (NIH) [grants CA151673 and GM138385 (to DS) and AI141630 (to P.G), DK107585–05S1 (SD) and AI155696 (to P.G, D.S and S.D), U19-AI142742 (to S.C, CCHI: Cooperative Centers for Human Immunology)]; Research Grants Program Office (RGPO) from the University of California Office of the President (UCOP) (R00RG2628 & R00RG2642 to P.G, D.S and S.D); the UC San Diego Sanford Stem Cell Clinical Center (to P.G, D.S and S.D); LJI Institutional Funds (to S.C); the VA San Diego Healthcare System Institutional funds (to L.C.A). GDK was supported through The American Association of Immunologists Intersect Fellowship Program for Computational Scientists and Immunologists. ONE SENTENCE SUMMARY: The host immune response in COVID-19.
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spelling pubmed-81937642021-06-11 AI-guided discovery of the invariant host response to viral pandemics Sahoo, Debashis Katkar, Gajanan D. Khandelwal, Soni Behroozikhah, Mahdi Claire, Amanraj Castillo, Vanessa Tindle, Courtney Fuller, MacKenzie Taheri, Sahar Rogers, Thomas F. Beutler, Nathan Ramirez, Sydney I. Rawlings, Stephen A. Pretorius, Victor Smith, Davey M. Burton, Dennis R. Alexander, Laura E. Crotty Duran, Jason Crotty, Shane Dan, Jennifer M. Das, Soumita Ghosh, Pradipta EBioMedicine Research Paper BACKGROUND: Coronavirus Disease 2019 (Covid-19) continues to challenge the limits of our knowledge and our healthcare system. Here we sought to define the host immune response, a.k.a, the “cytokine storm” that has been implicated in fatal COVID-19 using an AI-based approach. METHOD: Over 45,000 transcriptomic datasets of viral pandemics were analyzed to extract a 166-gene signature using ACE2 as a ‘seed’ gene; ACE2 was rationalized because it encodes the receptor that facilitates the entry of SARS-CoV-2 (the virus that causes COVID-19) into host cells. An AI-based approach was used to explore the utility of the signature in navigating the uncharted territory of Covid-19, setting therapeutic goals, and finding therapeutic solutions. FINDINGS: The 166-gene signature was surprisingly conserved across all viral pandemics, including COVID-19, and a subset of 20-genes classified disease severity, inspiring the nomenclatures ViP and severe-ViP signatures, respectively. The ViP signatures pinpointed a paradoxical phenomenon wherein lung epithelial and myeloid cells mount an IL15 cytokine storm, and epithelial and NK cell senescence and apoptosis determine severity/fatality. Precise therapeutic goals could be formulated; these goals were met in high-dose SARS-CoV-2-challenged hamsters using either neutralizing antibodies that abrogate SARS-CoV-2•ACE2 engagement or a directly acting antiviral agent, EIDD-2801. IL15/IL15RA were elevated in the lungs of patients with fatal disease, and plasma levels of the cytokine prognosticated disease severity. INTERPRETATION: The ViP signatures provide a quantitative and qualitative framework for titrating the immune response in viral pandemics and may serve as a powerful unbiased tool to rapidly assess disease severity and vet candidate drugs. FUNDING: This work was supported by the National Institutes for Health (NIH) [grants CA151673 and GM138385 (to DS) and AI141630 (to P.G), DK107585–05S1 (SD) and AI155696 (to P.G, D.S and S.D), U19-AI142742 (to S.C, CCHI: Cooperative Centers for Human Immunology)]; Research Grants Program Office (RGPO) from the University of California Office of the President (UCOP) (R00RG2628 & R00RG2642 to P.G, D.S and S.D); the UC San Diego Sanford Stem Cell Clinical Center (to P.G, D.S and S.D); LJI Institutional Funds (to S.C); the VA San Diego Healthcare System Institutional funds (to L.C.A). GDK was supported through The American Association of Immunologists Intersect Fellowship Program for Computational Scientists and Immunologists. ONE SENTENCE SUMMARY: The host immune response in COVID-19. Elsevier 2021-06-11 /pmc/articles/PMC8193764/ /pubmed/34127431 http://dx.doi.org/10.1016/j.ebiom.2021.103390 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Paper
Sahoo, Debashis
Katkar, Gajanan D.
Khandelwal, Soni
Behroozikhah, Mahdi
Claire, Amanraj
Castillo, Vanessa
Tindle, Courtney
Fuller, MacKenzie
Taheri, Sahar
Rogers, Thomas F.
Beutler, Nathan
Ramirez, Sydney I.
Rawlings, Stephen A.
Pretorius, Victor
Smith, Davey M.
Burton, Dennis R.
Alexander, Laura E. Crotty
Duran, Jason
Crotty, Shane
Dan, Jennifer M.
Das, Soumita
Ghosh, Pradipta
AI-guided discovery of the invariant host response to viral pandemics
title AI-guided discovery of the invariant host response to viral pandemics
title_full AI-guided discovery of the invariant host response to viral pandemics
title_fullStr AI-guided discovery of the invariant host response to viral pandemics
title_full_unstemmed AI-guided discovery of the invariant host response to viral pandemics
title_short AI-guided discovery of the invariant host response to viral pandemics
title_sort ai-guided discovery of the invariant host response to viral pandemics
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193764/
https://www.ncbi.nlm.nih.gov/pubmed/34127431
http://dx.doi.org/10.1016/j.ebiom.2021.103390
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