AI Article Synopsis

  • - Understanding how SARS-CoV-2 interacts with the host helps develop better treatments and public health responses, particularly targeting immune pathways linked to complement and coagulation systems.
  • - A study found that individuals with a history of macular degeneration or coagulation disorders are at higher risk for severe COVID-19 outcomes, regardless of age, sex, or smoking history.
  • - Genetic analysis identified specific variants linked to complement and coagulation functions, suggesting that these factors influence COVID-19 severity and highlighting the need for comprehensive research methods to assess immunity and disease susceptibility.

Article Abstract

Understanding the pathophysiology of SARS-CoV-2 infection is critical for therapeutic and public health strategies. Viral-host interactions can guide discovery of disease regulators, and protein structure function analysis points to several immune pathways, including complement and coagulation, as targets of coronaviruses. To determine whether conditions associated with dysregulated complement or coagulation systems impact disease, we performed a retrospective observational study and found that history of macular degeneration (a proxy for complement-activation disorders) and history of coagulation disorders (thrombocytopenia, thrombosis and hemorrhage) are risk factors for SARS-CoV-2-associated morbidity and mortality-effects that are independent of age, sex or history of smoking. Transcriptional profiling of nasopharyngeal swabs demonstrated that in addition to type-I interferon and interleukin-6-dependent inflammatory responses, infection results in robust engagement of the complement and coagulation pathways. Finally, in a candidate-driven genetic association study of severe SARS-CoV-2 disease, we identified putative complement and coagulation-associated loci including missense, eQTL and sQTL variants of critical complement and coagulation regulators. In addition to providing evidence that complement function modulates SARS-CoV-2 infection outcome, the data point to putative transcriptional genetic markers of susceptibility. The results highlight the value of using a multimodal analytical approach to reveal determinants and predictors of immunity, susceptibility and clinical outcome associated with infection.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809634PMC
http://dx.doi.org/10.1038/s41591-020-1021-2DOI Listing

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