Your browser doesn't support javascript.
loading
Genomics in Diabetic Kidney Disease: A 2024 Update.
Roumeliotis, Stefanos; Divani, Maria; Stamellou, Eleni; Liakopoulos, Vassilios.
Afiliação
  • Roumeliotis S; Second Department of Nephrology, School of Medicine, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
  • Divani M; Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece.
  • Stamellou E; Department of Nephrology, Medical School, University Hospital of Ioannina, Ioannina, Greece.
  • Liakopoulos V; Second Department of Nephrology, School of Medicine, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Curr Genomics ; 25(3): 153-157, 2024 May 31.
Article em En | MEDLINE | ID: mdl-39086997
ABSTRACT
Diabetic Kidney Disease (DKD) remains the leading cause of Chronic and End Stage Kidney Disease (ESKD) worldwide, with an increasing epidemiological burden. However, still, the disease awareness remains low, early diagnosis is difficult, and therapeutic management is ineffective. These might be attributed to the fact that DKD is a highly heterogeneous disease, with disparities and variability in clinical presentation and progression patterns. Besides environmental risk factors, genetic studies have emerged as a novel and promising tool in the field of DKD. Three decades ago, family studies first reported that inherited genetic factors might confer significant risk to DKD development and progression. During the past decade, genome-wide association studies (GWASs) screening the whole genome in large and multi-ethnic population-based cohorts identified genetic risk variants associated with traits defining DKD in both type 1 and 2 diabetes. Herein, we aim to summarize the existing data regarding the progress in the field of genomics in DKD, present how the revolution of GWAS expanded our understanding of pathophysiologic disease mechanisms and finally, suggest potential future directions.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Curr Genomics Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Curr Genomics Ano de publicação: 2024 Tipo de documento: Article