2023
Epigenome-Wide Meta-Analysis Reveals Differential DNA Methylation Associated With Estimated Glomerular Filtration Rate Among African American Men With HIV
Chen J, Hui Q, Wang Z, Wilson F, So-Armah K, Freiberg M, Justice A, Xu K, Zhao W, Ammous F, Smith J, Kardia S, Gwinn M, Marconi V, Sun Y. Epigenome-Wide Meta-Analysis Reveals Differential DNA Methylation Associated With Estimated Glomerular Filtration Rate Among African American Men With HIV. Kidney International Reports 2023, 8: 1076-1086. PMID: 37180517, PMCID: PMC10166785, DOI: 10.1016/j.ekir.2023.02.1085.Peer-Reviewed Original ResearchEpigenome-wide association studiesDNA methylationGlomerular filtration rateRenal diseaseFinger protein 20Differential DNA methylationKidney functionFiltration rateAfrican ancestryEnd-stage renal diseaseDifferent populationsProtein 20Ancestral groupsRenal disease progressionAssociation studiesDifferent ancestral groupsMethylationAfrican American menAncestryEuropean ancestryStudy cohortIndependent African American samplesDisease progressionFaster progressionGeneral population
2019
Insulin resistance and chronic kidney disease progression, cardiovascular events, and death: findings from the chronic renal insufficiency cohort study
Schrauben SJ, Jepson C, Hsu JY, Wilson FP, Zhang X, Lash JP, Robinson BM, Townsend RR, Chen J, Fogelfeld L, Kao P, Landis JR, Rader DJ, Hamm LL, Anderson AH, Feldman HI. Insulin resistance and chronic kidney disease progression, cardiovascular events, and death: findings from the chronic renal insufficiency cohort study. BMC Nephrology 2019, 20: 60. PMID: 30786864, PMCID: PMC6383235, DOI: 10.1186/s12882-019-1220-6.Peer-Reviewed Original ResearchConceptsChronic kidney disease progressionKidney disease progressionCardiovascular eventsHOMA-IRInsulin resistanceCKD progressionCause mortalityDisease progressionChronic Renal Insufficiency Cohort study participantsChronic Renal Insufficiency Cohort (CRIC) StudyCox proportional hazards modelAbsence of diabetesCohort Study participantsHomeostasis model assessmentProportional hazards modelPositive associationBackgroundInsulin resistanceCKD complicationsCardiovascular endpointsCohort studyHemoglobin A1cMetabolic syndromeKidney diseaseC-peptideHazards model
2016
Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression
Hsu CY, Xie D, Waikar SS, Bonventre JV, Zhang X, Sabbisetti V, Mifflin TE, Coresh J, Diamantidis CJ, He J, Lora CM, Miller ER, Nelson RG, Ojo AO, Rahman M, Schelling JR, Wilson FP, Kimmel PL, Feldman HI, Vasan RS, Liu KD, Investigators C, Appel L, Feldman H, Go A, He J, Kusek J, Lash J, Ojo A, Rahman M, Townsend R, Consortium C. Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression. Kidney International 2016, 91: 196-203. PMID: 28029431, PMCID: PMC5362331, DOI: 10.1016/j.kint.2016.09.003.Peer-Reviewed Original ResearchMeSH KeywordsAcetylglucosaminidaseAgedAlbuminuriaBiomarkersCreatinineDisease ProgressionFatty Acid-Binding ProteinsFemaleFollow-Up StudiesGlomerular Filtration RateHepatitis A Virus Cellular Receptor 1HumansKidney Failure, ChronicKidney TubulesLipocalin-2MaleMiddle AgedProportional Hazards ModelsProspective StudiesRenal Insufficiency, ChronicRisk AssessmentRisk FactorsConceptsGlomerular filtration rateUrinary albumin/creatinine ratioAlbumin/creatinine ratioKidney disease progressionTubular injury biomarkersCKD progressionInjury biomarkersFiltration rateClinical modelSerum creatinineCreatinine ratioDisease progressionProspective Chronic Renal Insufficiency Cohort StudyChronic Renal Insufficiency Cohort (CRIC) StudyIncident end-stage renal diseaseUnadjusted Cox proportional hazards modelUrinary kidney injury molecule-1Renal tubular injury biomarkersChronic kidney disease progressionKidney injury molecule-1End-stage renal diseaseNeutrophil gelatinase-associated lipocalinCox proportional hazards modelBase clinical modelInjury molecule-1