Original Report: Patient-Oriented, Translational Research
Urinary Collagen IV and πGST: Potential Biomarkers for Detecting Localized Kidney Injury in Diabetes – A Pilot StudyCawood T.J.a · Bashir M.b · Brady J.c · Murray B.c · Murray P.T.d · O’Shea D.b
aDepartments of Diabetes and Endocrinology, Christchurch Hospital, Christchurch, New Zealand; bDepartment of Endocrinology, cMetabolism Laboratory, St Vincent’s University Hospital, and dUniversity College Dublin School of Medicine and Medical Science, and Department of Nephrology and Clinical Pharmacology, Mater Misericordiae University Hospital, Dublin, Ireland
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Article / Publication Details
Background/Aims: Urinary biomarkers can identify damage to specific parts of the nephron. We performed a cross-sectional study to characterise the pattern of diabetic nephropathy using urinary biomarkers of glomerular fibrosis (collagen IV), proximal tubular damage (α-glutathione-S-transferase, GST) and distal tubular damage (πGST). Methods: Clinical data from 457 unselected patients attending a hospital diabetes clinic were collected. Spot urine samples were analysed for albumin and creatinine. Biomarkers were measured by enzyme-linked immunosorbent assay, and corrected to urinary creatinine. Results: All 3 biomarkers correlated weakly with albumin/creatinine ratios (Pearson correlation <0.2, p values <0.001). The most common abnormality was elevated urinary collagen IV (glomerular, 35%) compared to αGST (proximal tubule, 18%) or πGST (distal tubule, 15%). The proportion of patients with abnormal biomarker results increased across the normo-, micro- and macroalbuminuria groups, with collagen IV (26, 58, 65%) and πGST (11, 25, 35%) but not αGST. Conclusion: In patients with diabetes, these urinary biomarkers appear to identify renal damage that is related to, but distinct from, urine albumin/creatinine ratios. The markers of glomerular fibrosis and distal tubular damage related most closely to the degree of albuminuria. Longitudinal studies are now required to assess whether these biomarkers can detect early renal disease with greater specificity and sensitivity than the albumin/creatinine ratio.
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