Pathophysiologic Mechanisms and Potential Biomarkers in Diabetic Kidney Disease

Chan Young Jung, Tae Hyun Yoo

Research output: Contribution to journalReview articlepeer-review

12 Citations (Scopus)


Although diabetic kidney disease (DKD) remains the leading cause of end-stage kidney disease eventually requiring chronic kidney replacement therapy, the prevalence of DKD has failed to decline over the past 30 years. In order to reduce disease prevalence, extensive research has been ongoing to improve prediction of DKD onset and progression. Although the most commonly used markers of DKD are albuminuria and estimated glomerular filtration rate, their limitations have encouraged researchers to search for novel biomarkers that could improve risk stratification. Considering that DKD is a complex disease process that involves several pathophysiologic mechanisms such as hyperglycemia induced inflammation, oxidative stress, tubular damage, eventually leading to kidney damage and fibrosis, many novel biomarkers that capture one specific mechanism of the disease have been developed. Moreover, the increasing use of high-throughput omic approaches to analyze biological samples that include proteomics, metabolomics, and transcriptomics has emerged as a strong tool in biomarker discovery. This review will first describe recent advances in the understanding of the pathophysiology of DKD, and second, describe the current clinical biomarkers for DKD, as well as the current status of multiple potential novel biomarkers with respect to protein biomarkers, proteomics, metabolomics, and transcriptomics.

Original languageEnglish
Pages (from-to)181-197
Number of pages17
JournalDiabetes and Metabolism Journal
Issue number2
Publication statusPublished - 2022 Mar

Bibliographical note

Publisher Copyright:
© 2022 Korean Diabetes Association. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Endocrinology, Diabetes and Metabolism


Dive into the research topics of 'Pathophysiologic Mechanisms and Potential Biomarkers in Diabetic Kidney Disease'. Together they form a unique fingerprint.

Cite this