Publications by authors named "Argyris Tsantes"
We have attempted to explore further the involvement of complement components in the host COVID-19 (Coronavirus disease-19) immune responses by targeted genotyping of COVID-19 adult patients and analysis for missense coding Single Nucleotide Polymorphisms (coding SNPs) of genes encoding Alternative pathway (AP) components. We have identified a small group of common coding SNPs in Survivors and Deceased individuals, present in either relatively similar frequencies (CFH and CFI SNPs) or with stark differences in their relative abundance (C3 and CFB SNPs). In addition, we have identified several sporadic, potentially protective, coding SNPs of C3, CFB, CFD, CFH, CFHR1 and CFI in Survivors.
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- There is a need for better early prediction models for COVID-19 outcomes, specifically morbidity and mortality in hospital settings.
- The study identified critical genetic variants related to the complement system that are linked to severe COVID-19 outcomes and developed a predictive artificial neural network (ANN) using these variants.
- The ANN successfully predicted severe outcomes in nearly 90% of patients, highlighting the role of genetic factors in worsening COVID-19 conditions and confirming that these variants are associated with an impaired immune response.
Article Synopsis
- - Recent studies indicate that excessive activation of the complement system plays a role in severe COVID-19, similar to a condition called thrombotic microangiopathy (TMA).
- - Researchers analyzed genetic data from 97 COVID-19 patients and identified key genetic variants associated with severe illness, revealing that specific combinations of these variants correlated with ICU hospitalization.
- - The study suggests that certain genetic profiles, particularly those involving ADAMTS13 and complement factors, could inform targeted treatments for severe COVID-19 patients, as well as uncover potential gender differences in these genetic variants.