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Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease.
Gluck, Caroline; Qiu, Chengxiang; Han, Sang Youb; Palmer, Matthew; Park, Jihwan; Ko, Yi-An; Guan, Yuting; Sheng, Xin; Hanson, Robert L; Huang, Jing; Chen, Yong; Park, Ae Seo Deok; Izquierdo, Maria Concepcion; Mantzaris, Ioannis; Verma, Amit; Pullman, James; Li, Hongzhe; Susztak, Katalin.
Affiliation
  • Gluck C; Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, 19104, PA, USA.
  • Qiu C; Department of Pediatrics, Division of Nephrology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, PA, USA.
  • Han SY; Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, 19104, PA, USA.
  • Palmer M; Division of Nephrology, Department of Internal Medicine, Inje University College of Medicine, Goyang, 10380, Korea.
  • Park J; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, PA, USA.
  • Ko YA; Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, 19104, PA, USA.
  • Guan Y; Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, 19104, PA, USA.
  • Sheng X; Department of Genetics, University of Pennsylvania, Philadelphia, 19104, PA, USA.
  • Hanson RL; Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, 19104, PA, USA.
  • Huang J; Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, 19104, PA, USA.
  • Chen Y; Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, 86014, AZ, USA.
  • Park ASD; Department of Biostatistics, Epidemiology, and Informatics, Center for Clinical Epidemiology and Biostatistics, School of Medicine, University of Pennsylvania Perelman, Philadelphia, 19104, PA, USA.
  • Izquierdo MC; Department of Biostatistics, Epidemiology, and Informatics, Center for Clinical Epidemiology and Biostatistics, School of Medicine, University of Pennsylvania Perelman, Philadelphia, 19104, PA, USA.
  • Mantzaris I; Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, 19104, PA, USA.
  • Verma A; Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, 19104, PA, USA.
  • Pullman J; Department of Medicine, Albert Einstein College of Medicine, Bronx, 10461, NY, USA.
  • Li H; Department of Medicine, Albert Einstein College of Medicine, Bronx, 10461, NY, USA.
  • Susztak K; Department of Pathology Montefiore Medical Center, Bronx, 10467, NY, USA.
Nat Commun ; 10(1): 2461, 2019 06 05.
Article de En | MEDLINE | ID: mdl-31165727
ABSTRACT
Epigenetic changes might provide the biological explanation for the long-lasting impact of metabolic alterations of diabetic kidney disease development. Here we examined cytosine methylation of human kidney tubules using Illumina Infinium 450 K arrays from 91 subjects with and without diabetes and varying degrees of kidney disease using a cross-sectional design. We identify cytosine methylation changes associated with kidney structural damage and build a model for kidney function decline. We find that the methylation levels of 65 probes are associated with the degree of kidney fibrosis at genome wide significance. In total 471 probes improve the model for kidney function decline. Methylation probes associated with kidney damage and functional decline enrich on kidney regulatory regions and associate with gene expression changes, including epidermal growth factor (EGF). Altogether, our work shows that kidney methylation differences can be detected in patients with diabetic kidney disease and improve kidney function decline models indicating that they are potentially functionally important.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Méthylation de l'ADN / Cytosine / Néphropathies diabétiques / Rein Type d'étude: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limites: Aged / Female / Humans / Male / Middle aged Langue: En Journal: Nat Commun Sujet du journal: BIOLOGIA / CIENCIA Année: 2019 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Méthylation de l'ADN / Cytosine / Néphropathies diabétiques / Rein Type d'étude: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limites: Aged / Female / Humans / Male / Middle aged Langue: En Journal: Nat Commun Sujet du journal: BIOLOGIA / CIENCIA Année: 2019 Type de document: Article Pays d'affiliation: États-Unis d'Amérique