måndag 20 september 2021

A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19 – PubMed

Källa: A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19 – PubMed

 

”The machine-driven framework we developed repeatedly pointed to elevated blood glucose as a key facilitator in the progression of COVID-19. Indeed, when we systematically retraced the steps of the SARS-CoV-2 infection, we found evidence linking elevated glucose to each major step of the life-cycle of the virus, progression of the disease, and presentation of symptoms. Specifically, elevations of glucose provide ideal conditions for the virus to evade and weaken the first level of the immune defense system in the lungs, gain access to deep alveolar cells, bind to the ACE2 receptor and enter the pulmonary cells, accelerate replication of the virus within cells increasing cell death and inducing an pulmonary inflammatory response, which overwhelms an already weakened innate immune system to trigger an avalanche of systemic infections, inflammation and cell damage, a cytokine storm and thrombotic events. We tested the feasibility of the hypothesis by manually reviewing the literature referenced by the machine-generated synthesis, reconstructing atomistically the virus at the surface of the pulmonary airways, and performing quantitative computational modeling of the effects of glucose levels on the infection process. We conclude that elevation in glucose levels can facilitate the progression of the disease through multiple mechanisms and can explain much of the differences in disease severity seen across the population.”

 

Logette E, Lorin C, Favreau C, Oshurko E, Coggan JS, Casalegno F, Sy MF, Monney C, Bertschy M, Delattre E, Fonta PA, Krepl J, Schmidt S, Keller D, Kerrien S, Scantamburlo E, Kaufmann AK, Markram H. A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19. Front Public Health. 2021 Jul 28;9:695139. doi: 10.3389/fpubh.2021.695139. PMID: 34395368; PMCID: PMC8356061.


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