Association of urinary C-megalin with albuminuria and renal function in diabetes: a cross-sectional study (Diabetes Distress and Care Registry at Tenri [DDCRT 21])

Background A urinary biomarker sensitive to glomerular functional or structural changes in diabetic kidney disease is required. This study examined whether urinary C-megalin reflects renal function or albuminuria in diabetes. Methods This was a cross-sectional study involving 1576 patients with type...

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Published inJournal of nephrology Vol. 35; no. 1; pp. 201 - 210
Main Authors Kurita, Noriaki, Kinoshita, Maki, Fujimura, Maki, Kurosawa, Kentaro, Sakuramachi, Yui, Takano, Kiyoko, Okamura, Shintaro, Kitatani, Mako, Tsujii, Satoru, Norton, Edward C., Hayashino, Yasuaki
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 2022
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Summary:Background A urinary biomarker sensitive to glomerular functional or structural changes in diabetic kidney disease is required. This study examined whether urinary C-megalin reflects renal function or albuminuria in diabetes. Methods This was a cross-sectional study involving 1576 patients with type 1 or 2 diabetes. The exposure variables were estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (UACR), and the outcomes were urinary C-megalin excretion and concentration. Two-part models were used to examine the associations between eGFR and UACR with urinary C-megalin excretion or concentration. Results The UACR was linearly associated with urinary C-megalin excretion (per 100 mg/gCr of UACR; 11.8 fM/gCr [95% CI 8.9–14.7]). There was no association between decreasing eGFR and increasing urinary C-megalin excretion. The UACR was also linearly associated with the urinary C-megalin concentration (per 100 mg/gCr of UACR, 7.7 fM/L [95% CI 5.8–9.6]). At eGFR values > 60 mL/min/1.73 m 2 , the eGFR and urinary C-megalin concentration were inversely linearly related (per 10 mL/min/1.73 m 2 decline, 7.7 fM/L [95% CI 0.2–15.1]). Conclusion Urinary C-megalin excretion as well as concentration levels are potentially useful biomarkers to detect early changes in diabetic kidney disease.
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ISSN:1121-8428
1724-6059
DOI:10.1007/s40620-021-00995-2