SARS-CoV-2 Infection Boosts MX1 Antiviral Effector in COVID-19 Patients

In a published case-control study (GSE152075) from SARS-CoV-2-positive (n = 403) and -negative patients (n = 50), we analyzed the response to infection assessing gene expression of host cell receptors and antiviral proteins. The expression analysis associated with reported risk factors for COVID-19...

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Veröffentlicht in:iScience 2020-10, Vol.23 (10), p.101585-101585, Article 101585
Hauptverfasser: Bizzotto, Juan, Sanchis, Pablo, Abbate, Mercedes, Lage-Vickers, Sofía, Lavignolle, Rosario, Toro, Ayelén, Olszevicki, Santiago, Sabater, Agustina, Cascardo, Florencia, Vazquez, Elba, Cotignola, Javier, Gueron, Geraldine
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Sprache:eng
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Zusammenfassung:In a published case-control study (GSE152075) from SARS-CoV-2-positive (n = 403) and -negative patients (n = 50), we analyzed the response to infection assessing gene expression of host cell receptors and antiviral proteins. The expression analysis associated with reported risk factors for COVID-19 was also assessed. SARS-CoV-2 cases had higher ACE2, but lower TMPRSS2, BSG/CD147, and CTSB expression compared with negative cases. COVID-19 patients' age negatively affected ACE2 expression. MX1 and MX2 were higher in COVID-19 patients. A negative trend for MX1 and MX2 was observed as patients' age increased. Principal-component analysis determined that ACE2, MX1, MX2, and BSG/CD147 expression was able to cluster non-COVID-19 and COVID-19 individuals. Multivariable regression showed that MX1 expression significantly increased for each unit of viral load increment. Altogether, these findings support differences in ACE2, MX1, MX2, and BSG/CD147 expression between COVID-19 and non-COVID-19 patients and point out to MX1 as a critical responder in SARS-CoV-2 infection. [Display omitted] •COVID-19 patients present a distinct expression pattern for antiviral genes•MX1 antiviral gene expression is triggered by SARS-CoV-2•MX1 can be induced by hemin, an FDA-approved drug•MX1 rises as a potential druggable target Health Informatics; Virology
ISSN:2589-0042
2589-0042
DOI:10.1016/j.isci.2020.101585