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10.1002/jmv.25866 http://scihub22266oqcxt.onion/10.1002/jmv.25866 32356908!7267673!32356908     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Med+Virol 2020 ; 92 (9): 1615-1628 Nephropedia Template TP {{tp|p=32356908|t=2020. Mathematical modeling of interaction between innate and adaptive immune responses in COVID-19 and implications for viral pathogenesis |pdf=|usr=}}{{32356908}} gab.com Text Mathematical modeling of interaction between innate and adaptive immune responses in COVID-19 and implications for viral pathogenesis JO: J Med Virol http://www.kidney.de/pget.php?&tw=1&pmid=32356908 #FOAvip We have applied mathematical modeling to investigate the infections of the ongoing coronavirus disease-2019 (COVID-19) pandemic caused by SARS-CoV-2 virus. We first validated our model using the well-studied influenza viruses and then compared the pathogenesis processes between the two viruses. The interaction between host innate and adaptive immune responses was found to be a potential cause for the higher severity and mortality in COVID-19 patients. Specifically, the timing mismatch between the two immune responses has a major impact on disease progression. The adaptive immune response of the COVID-19 patients is more likely to come before the peak of viral load, while the opposite is true for influenza patients. This difference in timing causes delayed depletion of vulnerable epithelial cells in the lungs in COVID-19 patients while enhancing viral clearance in influenza patients. Stronger adaptive immunity in COVID-19 patients can potentially lead to longer recovery time and more severe secondary complications. Based on our analysis, delaying the onset of adaptive immune responses during the early phase of infections may be a potential treatment option for high-risk COVID-19 patients. Suppressing the adaptive immune response temporarily and avoiding its interference with the innate immune response may allow the innate immunity to more efficiently clear the virus. Twit Text FOAVip Mathematical modeling of interaction between innate and adaptive immune responses in COVID-19 and implications for viral pathogenesis ????J Med Virol http://www.kidney.de/pget.php?&tw=1&pmid=32356908 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32356908 #FOAvip English Wikipedia <ref>{{Cite pmid|32356908}}</ref> Mathematical modeling of interaction between innate and adaptive immune responses in COVID-19 and implications for viral pathogenesis #MMPMID32356908 Du SQ; Yuan W J Med Virol 2020[Sep]; 92 (9): 1615-1628 PMID32356908show ga We have applied mathematical modeling to investigate the infections of the ongoing coronavirus disease-2019 (COVID-19) pandemic caused by SARS-CoV-2 virus. We first validated our model using the well-studied influenza viruses and then compared the pathogenesis processes between the two viruses. The interaction between host innate and adaptive immune responses was found to be a potential cause for the higher severity and mortality in COVID-19 patients. Specifically, the timing mismatch between the two immune responses has a major impact on disease progression. The adaptive immune response of the COVID-19 patients is more likely to come before the peak of viral load, while the opposite is true for influenza patients. This difference in timing causes delayed depletion of vulnerable epithelial cells in the lungs in COVID-19 patients while enhancing viral clearance in influenza patients. Stronger adaptive immunity in COVID-19 patients can potentially lead to longer recovery time and more severe secondary complications. Based on our analysis, delaying the onset of adaptive immune responses during the early phase of infections may be a potential treatment option for high-risk COVID-19 patients. Suppressing the adaptive immune response temporarily and avoiding its interference with the innate immune response may allow the innate immunity to more efficiently clear the virus. |*Adaptive Immunity[MESH] |*Disease Susceptibility[MESH] |*Immunity, Innate[MESH] |*Models, Theoretical[MESH] |Algorithms[MESH] |Antiviral Agents/pharmacology/therapeutic use[MESH] |COVID-19 Drug Treatment[MESH] |COVID-19/*etiology[MESH] |Host-Pathogen Interactions/*immunology[MESH] |Humans[MESH] |Influenza, Human/immunology[MESH]Mathematical modeling of interaction between innate and adaptive immun(epmc).pdf DeepDyve Pubget Overpricing