Literature DB >> 9678681

Urinary excretion of pancreatic stone protein in diabetic nephropathy.

H Sobajima1, T Niwa, M Shikano, S Naruse, M Kitagawa, Y Nakae, H Ishiguro, T Kondo, T Hayakawa.   

Abstract

Urinary pancreatic stone protein (PSP) levels were measured in 68 diabetic patients and 170 healthy controls to investigate the relationship between the progression of diabetic nephropathy and PSP excretion. Urinary albumin, N-acetyl-beta-glucosaminidase (NAG), alpha1-microglobulin, creatinine clearance, and the blood PSP level were also determined in the diabetic patients. The urinary glucose level and glycemic control did not influence the urinary PSP level. In patients with normoalbuminuria (urinary albumin <20 mg/gCr, n=31), microalbuminuria (20-200 mg/Cr, n=19), and macroalbuminuria (>200 mg/gCr, n=18), the mean urinary PSP level was 347, 507, and 860 microg/gCr, respectively. These levels were significantly higher than the level in normal volunteers (168 microg/gCr, p<0.01). A significant positive correlation was observed between the urinary PSP level and the NAG or alpha1-microglobulin levels (p<0.01). There was a stronger correlation with alpha1-microglobulin. Blood PSP levels were also elevated in patients who had renal impairment with a decreased creatinine clearance. In conclusion, urinary PSP excretion was increased from the initial stage of diabetic nephropathy and this increase became more marked as nephropathy progressed. Increased PSP excretion may reflect renal tubular dysfunction.

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Year:  1998        PMID: 9678681     DOI: 10.2169/internalmedicine.37.500

Source DB:  PubMed          Journal:  Intern Med        ISSN: 0918-2918            Impact factor:   1.271


  3 in total

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Authors:  Tatsuya Saito; Yasuko Tanaka; Yoshiyuki Morishita; Kenichi Ishibashi
Journal:  Biochem Biophys Rep       Date:  2017-11-23

2.  Association of Serum PSP/REG Iα with Renal Function in Type 2 Diabetes Mellitus.

Authors:  Huimin Zhu; Xiangyun Zhu; Hao Lin; Dechen Liu; Yu Dai; Xianghui Su; Ling Li
Journal:  J Diabetes Res       Date:  2020-03-23       Impact factor: 4.011

3.  REG1A and RUNX3 Are Potential Biomarkers for Predicting the Risk of Diabetic Kidney Disease.

Authors:  Xinyu Wang; Han Wu; Guangyan Yang; Jiaqing Xiang; Lijiao Xiong; Li Zhao; Tingfeng Liao; Xinyue Zhao; Lin Kang; Shu Yang; Zhen Liang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-22       Impact factor: 6.055

  3 in total

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