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10.1038/s41467-022-30357-w http://scihub22266oqcxt.onion/10.1038/s41467-022-30357-w 35577777!9110726!35577777     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=35577777&cmd=llinks): Failed to open stream: HTTP request failed! 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An Artificial Intelligence-guided signature reveals the shared host immune response in MIS-C and Kawasaki disease |pdf=|usr=}}{{35577777}} gab.com Text An Artificial Intelligence-guided signature reveals the shared host immune response in MIS-C and Kawasaki disease JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=35577777 #FOAvip Multisystem inflammatory syndrome in children (MIS-C) is an illness that emerged amidst the COVID-19 pandemic but shares many clinical features with the pre-pandemic syndrome of Kawasaki disease (KD). Here we compare the two syndromes using a computational toolbox of two gene signatures that were developed in the context of SARS-CoV-2 infection, i.e., the viral pandemic (ViP) and severe-ViP signatures and a 13-transcript signature previously demonstrated to be diagnostic for KD, and validated our findings in whole blood RNA sequences, serum cytokines, and formalin fixed heart tissues. Results show that KD and MIS-C are on the same continuum of the host immune response as COVID-19. Both the pediatric syndromes converge upon an IL15/IL15RA-centric cytokine storm, suggestive of shared proximal pathways of immunopathogenesis; however, they diverge in other laboratory parameters and cardiac phenotypes. The ViP signatures reveal unique targetable cytokine pathways in MIS-C, place MIS-C farther along in the spectrum in severity compared to KD and pinpoint key clinical (reduced cardiac function) and laboratory (thrombocytopenia and eosinopenia) parameters that can be useful to monitor severity. Twit Text FOAVip An Artificial Intelligence-guided signature reveals the shared host immune response in MIS-C and Kawasaki disease ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=35577777 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35577777 #FOAvip English Wikipedia <ref>{{Cite pmid|35577777}}</ref> An Artificial Intelligence-guided signature reveals the shared host immune response in MIS-C and Kawasaki disease #MMPMID35577777 Ghosh P; Katkar GD; Shimizu C; Kim J; Khandelwal S; Tremoulet AH; Kanegaye JT; Bocchini J; Das S; Burns JC; Sahoo D Nat Commun 2022[May]; 13 (1): 2687 PMID35577777show ga Multisystem inflammatory syndrome in children (MIS-C) is an illness that emerged amidst the COVID-19 pandemic but shares many clinical features with the pre-pandemic syndrome of Kawasaki disease (KD). Here we compare the two syndromes using a computational toolbox of two gene signatures that were developed in the context of SARS-CoV-2 infection, i.e., the viral pandemic (ViP) and severe-ViP signatures and a 13-transcript signature previously demonstrated to be diagnostic for KD, and validated our findings in whole blood RNA sequences, serum cytokines, and formalin fixed heart tissues. Results show that KD and MIS-C are on the same continuum of the host immune response as COVID-19. Both the pediatric syndromes converge upon an IL15/IL15RA-centric cytokine storm, suggestive of shared proximal pathways of immunopathogenesis; however, they diverge in other laboratory parameters and cardiac phenotypes. The ViP signatures reveal unique targetable cytokine pathways in MIS-C, place MIS-C farther along in the spectrum in severity compared to KD and pinpoint key clinical (reduced cardiac function) and laboratory (thrombocytopenia and eosinopenia) parameters that can be useful to monitor severity. |*COVID-19/complications/genetics/immunology[MESH] |*Mucocutaneous Lymph Node Syndrome/genetics/immunology[MESH] |*Systemic Inflammatory Response Syndrome/genetics/immunology[MESH] |Artificial Intelligence[MESH] |Child[MESH] |Computational Biology/methods[MESH] |Cytokines[MESH] |Gene Expression Profiling[MESH] |Humans[MESH] |Immunity/physiology[MESH] |Pandemics[MESH]An Artificial Intelligence-guided signature reveals the shared host im(epmc).pdf DeepDyve Pubget Overpricing