2023
Endothelial Cell Response in Kawasaki Disease and Multisystem Inflammatory Syndrome in Children
Kim J, Shimizu C, He M, Wang H, Hoffman H, Tremoulet A, Shyy J, Burns J. Endothelial Cell Response in Kawasaki Disease and Multisystem Inflammatory Syndrome in Children. International Journal Of Molecular Sciences 2023, 24: 12318. PMID: 37569694, PMCID: PMC10418493, DOI: 10.3390/ijms241512318.Peer-Reviewed Original ResearchConceptsKawasaki diseaseEndothelial cellsCardiovascular outcomesInflammatory syndromeWeighted gene co-expression network analysisDifferent cardiovascular outcomesMultisystem inflammatory syndromePre-treatment serumEC homeostasisEndothelial-mesenchymal transitionCultured endothelial cellsPro-survival genesClinical manifestationsHealthy controlsImmune responseNFκB pathwayCell responsesEndothelial cell responsesDiseaseGene co-expression network analysisEC responseExpression levelsSyndromeCo-expression network analysisReduced transcriptsBlockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions
Kuo T, Pham A, Edelson M, Kim J, Chan J, Gupta Y, Ohno-Machado L, Anderson D, Balacha C, Bath T, Baxter S, Becker-Pennrich A, Bell D, Bernstam E, Ngan C, Day M, Doctor J, DuVall S, El-Kareh R, Florian R, Follett R, Geisler B, Ghigi A, Gottlieb A, Hinske L, Hu Z, Ir D, Jiang X, Kim K, Kim J, Knight T, Koola J, Kuo T, Lee N, Mansmann U, Matheny M, Meeker D, Mou Z, Neumann L, Nguyen N, Nick A, Ohno-Machado L, Park E, Paul P, Pletcher M, Post K, Rieder C, Scherer C, Schilling L, Soares A, SooHoo S, Soysal E, Steven C, Tep B, Toy B, Wang B, Wu Z, Xu H, Yong C, Zheng K, Zhou Y, Zucker R. Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions. Journal Of The American Medical Informatics Association 2023, 30: 1167-1178. PMID: 36916740, PMCID: PMC10198529, DOI: 10.1093/jamia/ocad049.Peer-Reviewed Original ResearchConceptsFederated data analysisUser activity logsSmart contract deploymentRun-time efficiencyData analysis systemData analysis activitiesActivity logsData discoveryQuerying timeBlockchain systemBlockchain technologyNetwork transactionsCOVID-19 data analysisMultiple institutionsLow deploymentBlockchainGitHub repositoryMultiple nodesLarge networksQueriesAnalysis activitiesHigh availabilityLanguage codeBaseline solutionData analysis
2022
An Artificial Intelligence-guided signature reveals the shared host immune response in MIS-C and Kawasaki disease
Ghosh P, Katkar G, Shimizu C, Kim J, Khandelwal S, Tremoulet A, Kanegaye J, Bocchini J, Das S, Burns J, Sahoo D. An Artificial Intelligence-guided signature reveals the shared host immune response in MIS-C and Kawasaki disease. Nature Communications 2022, 13: 2687. PMID: 35577777, PMCID: PMC9110726, DOI: 10.1038/s41467-022-30357-w.Peer-Reviewed Original ResearchConceptsKawasaki diseaseHost immune responseLaboratory parametersImmune responseSARS-CoV-2 infectionInflammatory syndromeCytokine stormSerum cytokinesClinical featuresCytokine pathwaysCardiac phenotypeSyndromeGene signaturePediatric syndromesViral pandemicHeart tissueCOVID-19COVID-19 pandemicProximal pathwayDiseaseSeverityImmunopathogenesisPandemicCytokinesIllness
2021
Privacy-protecting, reliable response data discovery using COVID-19 patient observations
Kim J, Neumann L, Paul P, Day M, Aratow M, Bell D, Doctor J, Hinske L, Jiang X, Kim K, Matheny M, Meeker D, Pletcher M, Schilling L, SooHoo S, Xu H, Zheng K, Ohno-Machado L, Anderson D, Anderson N, Balacha C, Bath T, Baxter S, Becker-Pennrich A, Bernstam E, Carter W, Chau N, Choi Y, Covington S, DuVall S, El-Kareh R, Florian R, Follett R, Geisler B, Ghigi A, Gottlieb A, Hu Z, Ir D, Knight T, Koola J, Kuo T, Lee N, Mansmann U, Mou Z, Murphy R, Neumann L, Nguyen N, Niedermayer S, Park E, Perkins A, Post K, Rieder C, Scherer C, Soares A, Soysal E, Tep B, Toy B, Wang B, Wu Z, Zhou Y, Zucker R. Privacy-protecting, reliable response data discovery using COVID-19 patient observations. Journal Of The American Medical Informatics Association 2021, 28: 1765-1776. PMID: 34051088, PMCID: PMC8194878, DOI: 10.1093/jamia/ocab054.Peer-Reviewed Original Research