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10.1093/infdis/jiz531 http://scihub22266oqcxt.onion/10.1093/infdis/jiz531 31621854!7107456!31621854     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Infect+Dis 2020 ; 221 (6): 882-889 Nephropedia Template TP {{tp|p=31621854|t=2020. Immune Predictors of Mortality After Ribonucleic Acid Virus Infection |pdf=|usr=}}{{31621854}} gab.com Text Immune Predictors of Mortality After Ribonucleic Acid Virus Infection JO: J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=31621854 #FOAvip BACKGROUND: Virus infections result in a range of clinical outcomes for the host, from asymptomatic to severe or even lethal disease. Despite global efforts to prevent and treat virus infections to limit morbidity and mortality, the continued emergence and re-emergence of new outbreaks as well as common infections such as influenza persist as a health threat. Challenges to the prevention of severe disease after virus infection include both a paucity of protective vaccines as well as the early identification of individuals with the highest risk that may require supportive treatment. METHODS: We completed a screen of mice from the Collaborative Cross (CC) that we infected with influenza, severe acute respiratory syndrome-coronavirus, and West Nile virus. RESULTS: The CC mice exhibited a range of disease manifestations upon infections, and we used this natural variation to identify strains with mortality after infection and strains exhibiting no mortality. We then used comprehensive preinfection immunophenotyping to identify global baseline immune correlates of protection from mortality to virus infection. CONCLUSIONS: These data suggest that immune phenotypes might be leveraged to identify humans at highest risk of adverse clinical outcomes upon infection, who may most benefit from intensive clinical interventions, in addition to providing insight for rational vaccine design. Twit Text FOAVip Immune Predictors of Mortality After Ribonucleic Acid Virus Infection ????J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=31621854 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=31621854 #FOAvip English Wikipedia <ref>{{Cite pmid|31621854}}</ref> Immune Predictors of Mortality After Ribonucleic Acid Virus Infection #MMPMID31621854 Graham JB; Swarts JL; Menachery VD; Gralinski LE; Schafer A; Plante KS; Morrison CR; Voss KM; Green R; Choonoo G; Jeng S; Miller DR; Mooney MA; McWeeney SK; Ferris MT; Pardo-Manuel de Villena F; Gale M; Heise MT; Baric RS; Lund JM J Infect Dis 2020[Mar]; 221 (6): 882-889 PMID31621854show ga BACKGROUND: Virus infections result in a range of clinical outcomes for the host, from asymptomatic to severe or even lethal disease. Despite global efforts to prevent and treat virus infections to limit morbidity and mortality, the continued emergence and re-emergence of new outbreaks as well as common infections such as influenza persist as a health threat. Challenges to the prevention of severe disease after virus infection include both a paucity of protective vaccines as well as the early identification of individuals with the highest risk that may require supportive treatment. METHODS: We completed a screen of mice from the Collaborative Cross (CC) that we infected with influenza, severe acute respiratory syndrome-coronavirus, and West Nile virus. RESULTS: The CC mice exhibited a range of disease manifestations upon infections, and we used this natural variation to identify strains with mortality after infection and strains exhibiting no mortality. We then used comprehensive preinfection immunophenotyping to identify global baseline immune correlates of protection from mortality to virus infection. CONCLUSIONS: These data suggest that immune phenotypes might be leveraged to identify humans at highest risk of adverse clinical outcomes upon infection, who may most benefit from intensive clinical interventions, in addition to providing insight for rational vaccine design. |*Mortality[MESH] |Animals[MESH] |Collaborative Cross Mice[MESH] |Cytokines/metabolism[MESH] |Disease Models, Animal[MESH] |Female[MESH] |Humans[MESH] |Influenza A virus/immunology[MESH] |Influenza, Human[MESH] |Male[MESH] |Mice[MESH] |Orthomyxoviridae Infections/immunology/mortality[MESH] |RNA[MESH] |RNA Virus Infections/*immunology/*mortality/virology[MESH] |Severe Acute Respiratory Syndrome/immunology/mortality[MESH] |Severe acute respiratory syndrome-related coronavirus/immunology[MESH] |T-Lymphocytes/immunology/metabolism[MESH] |Viral Vaccines/immunology[MESH] |West Nile Fever/immunology/mortality[MESH]Immune Predictors of Mortality After Ribonucleic Acid Virus Infection (epmc).pdf DeepDyve Pubget Overpricing