Prognostic clinical and molecular biomarkers of renal disease in type 2 diabetes
- PMID: 26209743
- DOI: 10.1093/ndt/gfv252
Prognostic clinical and molecular biomarkers of renal disease in type 2 diabetes
Abstract
Diabetic kidney disease occurs in ∼ 25-40% of patients with type 2 diabetes. Given the high risk of progressive renal function loss and end-stage renal disease, early identification of patients with a renal risk is important. Novel biomarkers may aid in improving renal risk stratification. In this review, we first focus on the classical panel of albuminuria and estimated glomerular filtration rate as the primary clinical predictors of renal disease and then move our attention to novel biomarkers, primarily concentrating on assay-based multiple/panel biomarkers, proteomics biomarkers and metabolomics biomarkers. We focus on multiple biomarker panels since the molecular processes of renal disease progression in type 2 diabetes are heterogeneous, rendering it unlikely that a single biomarker significantly adds to clinical risk prediction. A limited number of prospective studies of multiple biomarkers address the predictive performance of novel biomarker panels in addition to the classical panel in type 2 diabetes. However, the prospective studies conducted so far have small sample sizes, are insufficiently powered and lack external validation. Adequately sized validation studies of multiple biomarker panels are thus required. There is also a paucity of studies that assess the effect of treatments on novel biomarker panels and determine whether initial treatment-induced changes in novel biomarkers predict changes in long-term renal outcomes. Such studies can not only improve our healthcare but also our understanding of the mechanisms of actions of existing and novel drugs and may yield biomarkers that can be used to monitor drug response. We conclude that this will be an area to focus research on in the future.
Keywords: CKD; biomarker panels; metabolomics; novel biomarkers; proteomics.
© The Author 2015. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.
Similar articles
-
Will the future lie in multitude? A critical appraisal of biomarker panel studies on prediction of diabetic kidney disease progression.Nephrol Dial Transplant. 2015 Aug;30 Suppl 4:iv96-104. doi: 10.1093/ndt/gfv119. Nephrol Dial Transplant. 2015. PMID: 26209744 Review.
-
A prospective study of multiple protein biomarkers to predict progression in diabetic chronic kidney disease.Nephrol Dial Transplant. 2014 Dec;29(12):2293-302. doi: 10.1093/ndt/gfu255. Epub 2014 Aug 1. Nephrol Dial Transplant. 2014. PMID: 25085239
-
Risk Prediction for Early CKD in Type 2 Diabetes.Clin J Am Soc Nephrol. 2015 Aug 7;10(8):1371-9. doi: 10.2215/CJN.10321014. Epub 2015 Jul 14. Clin J Am Soc Nephrol. 2015. PMID: 26175542 Free PMC article.
-
Biomarkers in acute and chronic kidney disease.Curr Opin Nephrol Hypertens. 2008 Mar;17(2):127-32. doi: 10.1097/MNH.0b013e3282f4e525. Curr Opin Nephrol Hypertens. 2008. PMID: 18277143 Review.
-
Biomarkers of diabetic kidney disease.Diabetologia. 2018 May;61(5):996-1011. doi: 10.1007/s00125-018-4567-5. Epub 2018 Mar 8. Diabetologia. 2018. PMID: 29520581 Free PMC article. Review.
Cited by
-
Metabolites Potentially Derived from Gut Microbiota Associated with Podocyte, Proximal Tubule, and Renal and Cerebrovascular Endothelial Damage in Early Diabetic Kidney Disease in T2DM Patients.Metabolites. 2023 Jul 28;13(8):893. doi: 10.3390/metabo13080893. Metabolites. 2023. PMID: 37623837 Free PMC article.
-
Metabolomics in Diabetic Kidney Disease: Unraveling the Biochemistry of a Silent Killer.Am J Nephrol. 2016;44(2):92-103. doi: 10.1159/000447954. Epub 2016 Jul 14. Am J Nephrol. 2016. PMID: 27410520 Free PMC article. Review.
-
Proteomics for prediction of disease progression and response to therapy in diabetic kidney disease.Diabetologia. 2016 Sep;59(9):1819-31. doi: 10.1007/s00125-016-4001-9. Epub 2016 Jun 25. Diabetologia. 2016. PMID: 27344310 Free PMC article. Review.
-
Novel Urinary Biomarkers For Improved Prediction Of Progressive Egfr Loss In Early Chronic Kidney Disease Stages And In High Risk Individuals Without Chronic Kidney Disease.Sci Rep. 2018 Oct 29;8(1):15940. doi: 10.1038/s41598-018-34386-8. Sci Rep. 2018. PMID: 30374033 Free PMC article.
-
Proteomic Biomarkers Panel: New Insights in Chronic Kidney Disease.Dis Markers. 2016;2016:3185232. doi: 10.1155/2016/3185232. Epub 2016 Sep 7. Dis Markers. 2016. PMID: 27667892 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical