Featured Publications
Identification and validation of urinary CXCL9 as a biomarker for diagnosis of acute interstitial nephritis
Moledina D, Obeid W, Smith R, Rosales I, Sise M, Moeckel G, Kashgarian M, Kuperman M, Campbell K, Lefferts S, Meliambro K, Bitzer M, Perazella M, Luciano R, Pober J, Cantley L, Colvin R, Wilson F, Parikh C. Identification and validation of urinary CXCL9 as a biomarker for diagnosis of acute interstitial nephritis. Journal Of Clinical Investigation 2023, 133: e168950. PMID: 37395276, PMCID: PMC10313360, DOI: 10.1172/jci168950.Peer-Reviewed Original ResearchConceptsUrinary CXCL9External validation cohortValidation cohortControl groupAIN diagnosisDiscovery cohortKidney tissueDiagnostic biomarkersAcute interstitial nephritisCXCL9 mRNA expressionAcute kidney injuryBiopsy-confirmed diagnosisAvailable clinical testsNational InstituteKidney injuryTubulointerstitial nephritisInterstitial nephritisKidney biopsyHistological confirmationHistological diagnosisTreatment optionsLymphocyte chemotaxisCXCL9MRNA expression differencesPatientsUrine TNF-α and IL-9 for clinical diagnosis of acute interstitial nephritis
Moledina DG, Wilson FP, Pober JS, Perazella MA, Singh N, Luciano RL, Obeid W, Lin H, Kuperman M, Moeckel GW, Kashgarian M, Cantley LG, Parikh CR. Urine TNF-α and IL-9 for clinical diagnosis of acute interstitial nephritis. JCI Insight 2019, 4: e127456. PMID: 31092735, PMCID: PMC6542610, DOI: 10.1172/jci.insight.127456.Peer-Reviewed Original ResearchConceptsAcute interstitial nephritisAcute kidney diseasePrebiopsy diagnosisKidney biopsyKidney diseaseIL-9AIN diagnosisUrine TNFInterstitial nephritisSpecific T cell subsetsAcute tubular injuryDiabetic kidney diseaseIL-9 levelsTNF-α levelsT cell subsetsAddition of biomarkersPlasma cytokinesCytokine levelsTubular injuryHighest quartileMultivariable analysisCell subsetsUrinary TNFBlood eosinophilsGlomerular diseaseDevelopment and external validation of a diagnostic model for biopsy-proven acute interstitial nephritis using electronic health record data
Moledina DG, Eadon MT, Calderon F, Yamamoto Y, Shaw M, Perazella MA, Simonov M, Luciano R, Schwantes-An TH, Moeckel G, Kashgarian M, Kuperman M, Obeid W, Cantley LG, Parikh CR, Wilson FP. Development and external validation of a diagnostic model for biopsy-proven acute interstitial nephritis using electronic health record data. Nephrology Dialysis Transplantation 2021, 37: 2214-2222. PMID: 34865148, PMCID: PMC9755995, DOI: 10.1093/ndt/gfab346.Peer-Reviewed Original ResearchConceptsAcute interstitial nephritisInterstitial nephritisUrine biomarkersBiopsy-proven acute interstitial nephritisElectronic health record dataExternal validation cohortTypical clinical featuresBlood urea nitrogenTumor necrosis factorCharacteristic curve analysisHealth record dataExternal validationElectronic health recordsAIN diagnosisModest AUCsSerum creatinineCreatinine ratioKidney biopsyClinical featuresValidation cohortNecrosis factorUnrecognized casesInterleukin-9PatientsUrea nitrogen
2016
PPIs and kidney disease: from AIN to CKD
Moledina DG, Perazella MA. PPIs and kidney disease: from AIN to CKD. Journal Of Nephrology 2016, 29: 611-616. PMID: 27072818, DOI: 10.1007/s40620-016-0309-2.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsAcute interstitial nephritisProton pump inhibitorsChronic kidney diseaseKidney diseaseDrug-induced acute interstitial nephritisExcellent overall safety profileHigher CKD riskSystemic allergic manifestationsAcute kidney injuryAdverse renal eventsGlomerular filtration rateOverall safety profilePopulation-based studyMillions of patientsAIN diagnosisRenal eventsCKD riskKidney injuryAllergic manifestationsInterstitial nephritisMedian timeSafety profileDrug initiationKidney failurePump inhibitors