Biomarkers of tubulointerstitial damage and function in type 1 diabetes

Ian H de Boer, Xiaoyu Gao, Ionut Bebu, Andrew N Hoofnagle, John M Lachin, Andrew Paterson, Bruce A Perkins, Amy K Saenger, Michael W Steffes, Bernard Zinman, Mark E Molitch, Ian H de Boer, Xiaoyu Gao, Ionut Bebu, Andrew N Hoofnagle, John M Lachin, Andrew Paterson, Bruce A Perkins, Amy K Saenger, Michael W Steffes, Bernard Zinman, Mark E Molitch

Abstract

Objective: To evaluate biomarkers of renal tubulointerstitial damage and function in type 1 diabetes with and without diabetic kidney disease.

Research design and methods: Cross-sectional case-control study of Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study participants. Cases (N=43) had incident persistent estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 with urinary albumin excretion >300 mg/24 hour. Controls (N=43) had persistent eGFR >90 mL/min/1.73 m2 and urinary albumin excretion <30 mg/24 hour. Urinary and plasma biomarkers reflecting tubular injury, inflammation, fibrosis, secretion, and synthetic function were measured from stored specimens collected at the first study visit with reduced eGFR (for case participants) or the corresponding study year (for control participants).

Results: Mean (SD) age was 51 (9) and 50 (8) years for case and control participants, and mean (SD) duration of diabetes was 30 (6) and 30 (5) years, respectively. Mean (SD) eGFR was 39 (14) and 103 (9) mL/min/1.73 m2 for case and control participants, and mean (SD) albumin excretion rate was 1978 (2914) and 10 (7) mg/day, respectively. Comparing cases with controls, significant differences were observed in each measured biomarker, including urine epidermal growth factor (mean 5.3 vs 21.2 μg/g creatinine for case vs control participants, respectively), urine monocyte chemoattractant protein-1 (596 vs 123 ng/g creatinine), urine galectin-3 (168 vs 52 μg/g creatinine), plasma soluble tubular necrosis factor receptor-1 (3695 vs 1022 pg/mL), plasma galectin-3 (21.3 vs 11.0 ng/mL), urinary clearances of hippurate (70 vs 167 mL/min) and cinnamoylglycine (77 vs 317 mL/min), and plasma arginine-citrulline ratio (5.6 vs 7.7 μg/μg), each P<0.001.

Conclusions: Marked abnormalities in biomarkers of kidney tubular injury, inflammation, fibrosis, secretion, and synthetic function accompany reduced eGFR and albuminuria in type 1 diabetes.

Trial registration number: NCT00360893, NCT00360815.

Keywords: biomarkers; chronic kidney disease; type 1.

Conflict of interest statement

Competing interests: IHdeB consulted for Boehringer-Ingelheim and Ironwood and received research equipment and supplies from Medtronic and Abbott. BAP has consulted for Neurometrix, Boehringer-Ingelheim, Abbott and Insulet. He has received speaker fees for medical education events from Medtronic, Novo Nordisk, Abbott, Insulet and Janssen. His institution has received support on his behalf for research funded by Boehringer-Ingelheim and Novo Nordisk.

References

    1. de Boer IH. DCCT/EDIC Research Group. Kidney disease and related findings in the diabetes control and complications trial/epidemiology of diabetes interventions and complications study. Diabetes Care 2014;37:24–30. 10.2337/dc13-2113
    1. Nath KA. Tubulointerstitial changes as a major determinant in the progression of renal damage. Am J Kidney Dis 1992;20:1–17. 10.1016/S0272-6386(12)80312-X
    1. Mise K, Hoshino J, Ueno T, et al. . Prognostic value of tubulointerstitial lesions, urinary N-Acetyl-β-d-glucosaminidase, and urinary β2-microglobulin in patients with type 2 diabetes and biopsy-proven diabetic nephropathy. Clin J Am Soc Nephrol 2016;11:593–601. 10.2215/CJN.04980515
    1. Ju W, Nair V, Smith S, et al. . Tissue transcriptome-driven identification of epidermal growth factor as a chronic kidney disease biomarker. Sci Transl Med 2015;7:316ra193 10.1126/scitranslmed.aac7071
    1. Gohda T, Niewczas MA, Ficociello LH, et al. . Circulating TNF receptors 1 and 2 predict stage 3 CKD in type 1 diabetes. J Am Soc Nephrol 2012;23:516–24. 10.1681/ASN.2011060628
    1. Nadkarni GN, Rao V, Ismail-Beigi F, et al. . Association of urinary biomarkers of inflammation, Injury, and fibrosis with renal function decline: the ACCORD trial. Clin J Am Soc Nephrol 2016;11:1343–52. 10.2215/CJN.12051115
    1. Nair V, Robinson-Cohen C, Smith MR, et al. . Growth differentiation factor-15 and risk of CKD progression. J Am Soc Nephrol 2017;28:2233–40. 10.1681/ASN.2016080919
    1. Suchy-Dicey AM, Laha T, Hoofnagle A, et al. . Tubular secretion in CKD. J Am Soc Nephrol 2016;27:2148–55. 10.1681/ASN.2014121193
    1. Rhee EP, Clish CB, Ghorbani A, et al. . A combined epidemiologic and metabolomic approach improves CKD prediction. J Am Soc Nephrol 2013;24:1330–8. 10.1681/ASN.2012101006
    1. Brown CM, Becker JO, Wise PM, et al. . Simultaneous determination of 6 L-arginine metabolites in human and mouse plasma by using hydrophilic-interaction chromatography and electrospray tandem mass spectrometry. Clin Chem 2011;57:701–9. 10.1373/clinchem.2010.155895
    1. Breyer MD, Susztak K. The next generation of therapeutics for chronic kidney disease. Nat Rev Drug Discov 2016;15:568–88. 10.1038/nrd.2016.67
    1. Gilbert RE. Proximal tubulopathy: prime mover and key therapeutic target in diabetic kidney disease. Diabetes 2017;66:791–800. 10.2337/db16-0796
    1. Bader R, Bader H, Grund KE, et al. . Structure and function of the kidney in diabetic glomerulosclerosis. Correlations between morphological and functional parameters. Pathol Res Pract 1980;167(2-4):204–16. 10.1016/S0344-0338(80)80051-3
    1. Koppe L, Pillon NJ, Vella RE, et al. . p-Cresyl sulfate promotes insulin resistance associated with CKD. J Am Soc Nephrol 2013;24:88–99. 10.1681/ASN.2012050503
    1. Wang Z, Klipfell E, Bennett BJ, et al. . Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease. Nature 2011;472:57–63. 10.1038/nature09922

Source: PubMed

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