Role of CKD273 in Diabetic Nephropathy: A Systematic Review

Abstract

Introduction: Diabetic Nephropathy (DN) is a major cause of increased morbidity and mortality in patients with Diabetes Mellitus (DM). The development of novel biomarkers for kidney disease, especially DN, is becoming a focus of medical research. Serum creatinine and urine albumin measurements had been the gold standards for the diagnosis of DN until the advent of newer markers like Cystatin C, Kidney Injury Molecule-1, etc. Currently, there is no non invasive investigation for the prediction of DN. Nevertheless, the field of proteomics is advancing at a rapid pace, such that urinary proteomic biomarkers have found a spot in the diagnosis of DN. The role of the urinary proteomic Chronic Kidney Disease 273 (CKD273) classifier, in particular, has been demonstrated in early prediction. Aim: To highlight the performance of the CKD273 classifier in the early prediction of DN. Materials and Methods: Pubmed and Scopus databases were extensively searched using the keywords diabetes, DM, renal disease or kidney disease, proteomics or peptide, urinary markers or biomarkers. Full-text original articles conducted on humans and written in English, published between 2014 and 2022, specifically prospective and retrospective observational studies, cross-sectional studies, Randomised Controlled Trials (RCT), and case-control studies investigating the efficacy of the urinary biomarker CKD273 in the prediction of DN were included in the review. The literature search, strictly based on Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines, led to the identification of eight relevant studies, which were included in the present review. The quality and Risk of Bias (RoB) of the selected articles were assessed using the Newcastle Ottowa scale (NOS) and Risk Of Bias 2 (ROB2) tool. Results: The selected studies proved the efficacy of the urinary proteomic classifier CKD273 as a cost-effective biomarker in predicting the decline in renal function in both normoalbuminuric diabetics and DN patients. Conclusion: Based on the articles included in the present systematic review, it has been found that CKD273 plays a vital role in the early prediction of renal dysfunction in normoalbuminuric diabetics as well as in the detection of progressing renal disease in DN patients. It has also been found to be cost-effective compared to established markers such as estimated Glomerular Filtration Rate (eGFR), Urine Albumin Excretion Rate (UAER), etc.

Keywords

• chronic kidney disease 273
• diabetes mellitus
• proteomics
• urinary markers