Machine learning implicates the IL-18 signaling axis in severe asthma
Camiolo MJ, Zhou X, Wei Q, Bittar H, Kaminski N, Ray A, Wenzel S. Machine learning implicates the IL-18 signaling axis in severe asthma. JCI Insight 2021, 6: e149945. PMID: 34591794, PMCID: PMC8663569, DOI: 10.1172/jci.insight.149945.Peer-Reviewed Original ResearchConceptsLung functionIL-18NF-κBTranscriptional hallmarksExacerbation-prone asthmaSevere asthma pathogenesisSubgroup of patientsVariable natural historySevere Asthma Research Program (SARP) cohortDownstream NF-κBMixed inflammatory processActivator protein-1 (AP-1) activationPathobiological underpinningsCorticosteroid exposureSevere asthmaAsthma clustersAsthma pathogenesisPatient morbidityInflammatory processProtein-1 activationExternal cohortLung tissuePatient clustersAP-1 activityNatural historyElevated IL-15 concentrations in the sarcoidosis lung are independent of granuloma burden and disease phenotypes
Minasyan M, Sharma L, Pivarnik T, Liu W, Adams T, Bermejo S, Peng X, Liu A, Ishikawa G, Perry C, Kaminski N, Gulati M, Herzog EL, Dela Cruz CS, Ryu C. Elevated IL-15 concentrations in the sarcoidosis lung are independent of granuloma burden and disease phenotypes. American Journal Of Physiology - Lung Cellular And Molecular Physiology 2021, 320: l1137-l1146. PMID: 33851886, PMCID: PMC8285626, DOI: 10.1152/ajplung.00575.2020.Peer-Reviewed Original ResearchConceptsIL-15 concentrationsIL-15Bronchoalveolar lavageDisease pathogenesisSarcoidosis lungClinical manifestationsLineages of miceIL-15 receptor αHuman cohortsInflammation of sarcoidosisIL-15 levelsOngoing inflammatory processSystemic granulomatous diseaseNumber of granulomasDisease phenotypeSarcoidosis cohortTDM administrationGranuloma numberComorbid conditionsClinical progressionInterleukin-15Granulomatous diseaseInflammatory processGranuloma formationHealthy controls