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

被引:0
|
作者
Qi, Bingxue [1 ,2 ]
Lou, Yan [1 ]
Zhu, Yongyue [3 ]
Chen, Yang [3 ]
Yang, Shixin [2 ]
Meng, Fanjie [2 ]
Pan, Zhuo [4 ]
Liu, Shuangshuang [5 ]
Yan, Guanchi [6 ]
Lu, Xiaodan [4 ]
Huang, Li-Hao [5 ]
机构
[1] Second Hosp Jilin Univ, Dept Nephrol, Changchun, Peoples R China
[2] Jilin Prov Peoples Hosp, Dept Endocrinol, Changchun, Peoples R China
[3] Changchun Univ Chinese Med, Clin Med Coll, Changchun, Peoples R China
[4] Jilin Prov Peoples Hosp, Precis Mol Med Ctr, Changchun, Peoples R China
[5] Fudan Univ, Zhongshan Hosp, Inst Metab & Integrat Biol, Liver Canc Inst,Shanghai Key Lab Metab Remodeling, Shanghai, Peoples R China
[6] Changchun Univ Chinese Med, Affiliated Hosp, Dept Endocrinol, Changchun, Peoples R China
基金
中国国家自然科学基金;
关键词
biomarker; CD44; diabetic kidney disease; hyaluronan; RHAMM; type; 2; diabetes; HYALURONAN; CD44;
D O I
10.1093/ckj/sfae196
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
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 (beta = -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. [GRAPHICS]
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Plasma microRNA-192 expression as a potential biomarker of diabetic kidney disease in patients with type 2 diabetes mellitus
    Abdelaty, Talaat A.
    Morsy, Eman Y.
    El-Sayed, Eman T.
    El-Rahmany, Shimaa M.
    Lashen, Sameh A.
    CLINICAL DIABETOLOGY, 2020, 9 (06): : 454 - 460
  • [2] Exenatide and Renal Outcomes in Patients with Type 2 Diabetes and Diabetic Kidney Disease
    Wang, Xiangyu
    Zhang, Huijie
    Zhang, Qian
    Guan, Meiping
    Sheng, Shuyue
    Mo, Wei
    Zou, Mengchen
    Li, Jimin
    Bi, Jianlu
    Tang, Xianyu
    Zeng, Huiyan
    He, Jiali
    Xu, Gugen
    Li, Ping
    Xue, Yaoming
    AMERICAN JOURNAL OF NEPHROLOGY, 2020, 51 (10) : 806 - 814
  • [3] A non-laboratory-based risk score for predicting diabetic kidney disease in Chinese patients with type 2 diabetes
    Wu, Mian
    Lu, Junxi
    Zhang, Lei
    Liu, Fengjing
    Chen, Si
    Han, Ying
    Zhao, Fangya
    Guo, Kaifeng
    Bao, Yuqian
    Chen, Haibing
    Jia, Weiping
    ONCOTARGET, 2017, 8 (60) : 102550 - 102558
  • [4] Effects of Qidan Tangshen Granule on diabetic kidney disease in patients with type 2 diabetes
    Yang, Hua
    Xia, Shisi
    Cong, Yilei
    Yang, Xinyu
    Min, Jie
    Wu, Tengfei
    DIABETES RESEARCH AND CLINICAL PRACTICE, 2024, 209
  • [5] Cardiovascular autonomic neuropathy and incident diabetic kidney disease in patients with type 2 diabetes
    Jun, Ji Eun
    Choi, Min Sun
    Kim, Jae Hyeon
    DIABETES RESEARCH AND CLINICAL PRACTICE, 2022, 184
  • [6] Elevated copeptin is associated with atherosclerosis and diabetic kidney disease in adults with type 1 diabetes
    Bjornstad, Petter
    Maahs, David M.
    Jensen, Thomas
    Lanasp, Miguel A.
    Johnson, Richard J.
    Rewers, Marian
    Snell-Bergeon, Janet K.
    JOURNAL OF DIABETES AND ITS COMPLICATIONS, 2016, 30 (06) : 1093 - 1096
  • [7] Osteoglycin as a Potential Biomarker of Mild Kidney Function Impairment in Type 2 Diabetes Patients
    Gonzalez-Salvatierra, Sheila
    Garcia-Fontana, Cristina
    Andujar-Vera, Francisco
    Grau-Perales, Alejandro Borja
    Martinez-Heredia, Luis
    Aviles-Perez, Maria Dolores
    Hayon-Ponce, Maria
    Iglesias-Baena, Ivan
    Riquelme-Gallego, Blanca
    Munoz-Torres, Manuel
    Garcia-Fontana, Beatriz
    JOURNAL OF CLINICAL MEDICINE, 2021, 10 (10)
  • [8] Serum lutein is a promising biomarker for type 2 diabetes mellitus and diabetic kidney disease in the elderly
    Pan, Fenghui
    Cui, Wenxia
    Gao, Lei
    Shi, Xiaoting
    Yang, Haiyan
    Hu, Yun
    Li, Man
    JOURNAL OF CLINICAL LABORATORY ANALYSIS, 2022, 36 (04)
  • [9] Diabetic kidney disease in type 1 diabetes: challenges and differences from type 2 diabetes
    Popovic, Djordje S.
    Patoulias, Dimitrios
    Gnudi, Luigi
    Mantzoros, Christos S.
    METABOLISM-CLINICAL AND EXPERIMENTAL, 2024, 151
  • [10] Extracellular status of thrombospondin-2 in type 2 diabetes mellitus and utility as a biomarker in the determination of early diabetic kidney disease
    Lin, Zhenzhen
    Zhang, Didong
    Zhang, Xinxin
    Guo, Wanxie
    Wang, Wenjun
    Zhang, Yingchao
    Liu, Zhen
    Bi, Yanxue
    Wu, Maolan
    Lin, Zhuofeng
    Lu, Xuemian
    BMC NEPHROLOGY, 2023, 24 (01)