Identification of biomarkers of chronic kidney disease among kidney-derived proteins

Clin Proteomics. 2022 Jan 11;19(1):3. doi: 10.1186/s12014-021-09340-y.

Abstract

Background: Chronic kidney disease (CKD) has few objective symptoms, and it is difficult to make an early diagnosis by using existing methods. Therefore, new biomarkers enabling diagnosis of renal dysfunction at an early stage need to be developed. Here, we searched for new biomarkers of CKD by focusing on kidney-derived proteins that could sensitively reflect that organ's disease state.

Methods: To identify candidate marker proteins, we performed a proteomics analysis on renal influx and efflux blood collected from the same individual.

Results: Proteomics analysis revealed 662 proteins in influx blood and 809 in efflux. From these identified proteins, we selected complement C1q as a candidate; the plasma C1q level was significantly elevated in the renal efflux of donors. Moreover, the plasma concentration of C1q in a mouse model of diabetic nephropathy was significantly increased, in association with increases in blood glucose concentration and urinary protein content. Importantly, we demonstrated that the tendency of C1q to increase in the plasma of CKD patients was correlated with a decrease in their estimated glomerular filtration rate.

Conclusion: Overall, our results indicate that our approach of focusing on kidney-derived proteins is useful for identifying new CKD biomarkers and that C1q has potential as a biomarker of renal function.

Keywords: Biomarker; Chronic kidney disease; Kidney-derived proteins.