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The AI-discovered aetiology of COVID-19 and rationale of the irinotecan+ etoposide combination therapy for critically ill COVID-19 patients
اتیولوژی هوش مصنوعی COVID-19 و منطق درمان ترکیبی irinotecan + etoposide برای بیماران COVID-19 که به شدت بیمار هستند کشف شده است-2020 We present the AI-discovered aetiology of COVID-19, based on a precise disease model of COVID-19 built under
five weeks that best matches the epidemiological characteristics, transmission dynamics, clinical features, and
biological properties of COVID-19 and consistently explains the rapidly expanding COVID-19 literature. We
present that SARS-CoV-2 implements a unique unbiased survival strategy of balancing viral replication with viral
spread by increasing its dependence on (i) ACE2-expressing cells for viral entry and spread, (ii) PI3K signaling in
ACE2-expressing cells for viral replication and egress, and (iii) viral- non-structural-and-accessory-protein-dependent
immunomodulation to balance viral spread and viral replication. We further propose the combination of
irinotecan (an in-market topoisomerase I inhibitor) and etoposide (an in-market topoisomerase II inhibitor)
could potentially be an exceptionally effective treatment to protect critically ill patients from death caused by
COVID-19-specific cytokine storms triggered by sepsis, ARDS, and other fatal comorbidities Keywords: Aetiology | Treatment | Cytokine storm | ICU | COVID-19 | ACE2 Irinotecan | Etoposide | SARS-CoV-2 |
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