ArticleFrontiers in molecular biosciences2021
Mathematical Model of SARS-Cov-2 Propagation Versus ACE2 Fits COVID-19 Lethality Across Age and Sex and Predicts That of SARS.
Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Mathematical modeling of impacts of patient differences on renin-angiotensin system and applications to COVID-19 lung fibrosis outcomes.Computers in biology and medicine · 2025Article
- Article
- Evolution of Sequence and Structure of SARS-CoV-2 Spike Protein: A Dynamic Perspective.ACS omega · 2023Review
- COVID-19 and Diarylamidines: The Parasitic Connection.International journal of molecular sciences · 2023Review
- Diversity of immune responses in children highly exposed to SARS-CoV-2.Frontiers in immunology · 2023Article
- Correlation of Surfactant Protein-D (SP-D) Serum Levels with ARDS Severity and Mortality in Covid-19 Patients in Indonesia.Acta medica academica · 2022Article
- ACE2 Serum Levels as Predictor of Infectability and Outcome in COVID-19.Frontiers in immunology · 2022Article
- Potential Physiological and Cellular Mechanisms of Exercise That Decrease the Risk of Severe Complications and Mortality Following SARS-CoV-2 Infection.Sports (Basel, Switzerland) · 2021Review
- Novel ACE2 protein interactions relevant to COVID-19 predicted by evolutionary rate correlations.PeerJ · 2021Article
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The fatality rate of Covid-19 escalates with age and is larger in men than women. I show that these variations correlate strongly with the level of the viral receptor protein ACE2 in rat lungs, which is consistent with the still limited data on human ACE2. Surprisingly, lower receptor levels correlate with higher fatality. I propose two possible explanations of this negative correlation: First, a previous mathematical model predicts that the velocity of viral progression in the organism as a function of the receptor level has a maximum and declines for abundant receptor. Secondly, degradation of ACE2 by the virus may cause the runaway inflammatory response that characterizes severe CoViD-19. I present here a mathematical model that predicts the lethality as a function of ACE2 protein level based on the two above hypothesis. The model fits Covid-19 fatality rate across age and sex in three countries with high accuracy (
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