Elevated RHAMM as a biomarker for predicting diabetic kidney disease in patients with type 2 diabetes

Author:

Qi Bingxue12,Lou Yan1,Zhu Yongyue3,Chen Yang3,Yang Shixin2,Meng Fanjie2,Pan Zhuo4,Liu Shuangshuang5,Yan Guanchi6,Lu Xiaodan4,Huang Li-Hao5ORCID

Affiliation:

1. Department of Nephrology, The Second Hospital of Jilin University , Changchun , China

2. Department of Endocrinology, Jilin Province People's Hospital , Changchun , China

3. Clinical Medicine College, Changchun University of Chinese Medicine , Changchun , China

4. Precision Molecular Medicine Center, Jilin Province People's Hospital , Changchun , China

5. Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Liver Cancer Institute, Zhongshan Hospital, Fudan University , Shanghai , China

6. Department of Endocrinology, Affiliated Hospital to Changchun University of Chinese Medicine, Changchun University of Chinese Medicine , Changchun , China

Abstract

ABSTRACT Background Diabetic kidney disease (DKD) poses a significant challenge globally as a complication of diabetes. Hyaluronan (HA), a critical non-sulfated glycosaminoglycan in the extracellular matrix, plays a pivotal role in the progression of DKD. This study assesses the predictive significance of HA's corresponding receptor, RHAMM (receptor for HA-mediated motility), in DKD pathogenesis in type 2 diabetes (T2DM) patients. Methods Enzyme-linked immunosorbent assays were utilized to measure plasma and urine levels of HA, CD44 and RHAMM in 99 diabetic patients. Immunohistochemistry staining was employed to examine HA deposition, CD44 and RHAMM expressions from 18 biopsy-proven DKD patients. Spearman correlation analysis, linear regression and receiver operating characteristic (ROC) analysis were conducted to establish associations between plasma HA, CD44 and RHAMM levels, and clinical parameters in DKD patients with T2DM. Results Elevated plasma and urine HA, CD44 and RHAMM levels were notably observed in the severe renal dysfunction group. Plasma RHAMM exhibited positive correlations with HA (r = 0.616, P < .001) and CD44 (r = 0.220, P < .001), and a negative correlation with estimated glomerular filtration rate (eGFR) (r = –0.618, P < .001). After adjusting for other potential predictors, plasma RHAMM emerged as an independent predictor of declining eGFR (β = –0.160, P < .05). Increased HA, CD44 and RHAMM levels in kidney biopsies of DKD patients were closely associated with heightened kidney injury. The ROC curve analysis highlighted an area under the curve (AUC) of 0.876 for plasma RHAMM, indicating superior diagnostic efficacy compared to CD44 in predicting DKD pathogenesis. The combined AUC of 0.968 for plasma RHAMM, HA and CD44 also suggested even greater diagnostic potential for DKD pathogenesis. Conclusion These findings provide initial evidence that elevated RHAMM levels predict DKD pathogenesis in T2DM patients. The formation of a triple complex involving HA, CD44 and RHAMM on the cell surface shows promise as a targetable biomarker for early intervention to mitigate severe renal dysfunctions.

Funder

Natural Science Foundation of Jilin Province

Jilin Province Health Science and Technology Ability Improvement Project

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

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