Novel biomarkers for diabetic kidney disease

Chan Young Jung, Tae Hyun Yoo

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)


Although diabetic kidney disease (DKD) remains one of the leading causes of reduced lifespan in patients with diabetes mellitus; its prevalence has failed to decline over the past 30 years. To identify those at high risk of developing DKD and disease progression at an early stage, extensive research has been ongoing in the search for prognostic and surrogate endpoint biomarkers for DKD. Although biomarkers are not used routinely in clinical practice or prospective clinical trials, many biomarkers have been developed to improve the early identification and prognostication of patients with DKD. Novel biomarkers that capture one specific mechanism of the DKD disease process have been developed, and studies have evaluated the prognostic value of assay-based biomarkers either in small sets or in combinations involving multiple biomarkers. More recently, several studies have assessed the prognostic value of om-ics-based biomarkers that include proteomics, metabolomics, and transcriptomics. This review will first describe the biomarkers used in current practice and their limitations, and then summarize the current status of novel biomarkers for DKD with respect to as-say-based protein biomarkers, proteomics, metabolomics, and transcriptomics.

Original languageEnglish
Pages (from-to)S46-S62
JournalKidney Research and Clinical Practice
Publication statusPublished - 2022 Sept 1

Bibliographical note

Publisher Copyright:
© 2022 by The Korean Society of Nephrology.

All Science Journal Classification (ASJC) codes

  • Nephrology
  • Urology


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