Urinary Proteomics Identifies Cathepsin D as a Biomarker of Rapid eGFR Decline in Type 1 Diabetes

Author:

Limonte Christine P.12ORCID,Valo Erkka345,Drel Viktor67,Natarajan Loki8ORCID,Darshi Manjula67,Forsblom Carol345,Henderson Clark M.9,Hoofnagle Andrew N.2910,Ju Wenjun1112ORCID,Kretzler Matthias1112,Montemayor Daniel67,Nair Viji11,Nelson Robert G.13,O’Toole John F.14,Toto Robert D.15,Rosas Sylvia E.16,Ruzinski John12,Sandholm Niina345ORCID,Schmidt Insa M.17,Vaisar Tomas10,Waikar Sushrut S.17,Zhang Jing8,Rossing Peter1819ORCID,Ahluwalia Tarunveer S.181920,Groop Per-Henrik345ORCID,Pennathur Subramaniam2122ORCID,Snell-Bergeon Janet K.23ORCID,Costacou Tina24ORCID,Orchard Trevor J.24,Sharma Kumar67,de Boer Ian H.12,

Affiliation:

1. 1Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA

2. 2Kidney Research Institute, University of Washington, Seattle, WA

3. 3Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland

4. 4Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland

5. 5Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland

6. 6Division of Nephrology, The University of Texas Health Science Center at San Antonio, San Antonio, TX

7. 7Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX

8. 8Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health and Moores Cancer Center at UC San Diego Health, La Jolla, CA

9. 9Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA

10. 10Division of Metabolism, Endocrinology, and Nutrition, UW Medicine Diabetes Institute, University of Washington, Seattle, WA

11. 11Division of Nephrology, University of Michigan, Ann Arbor, MI

12. 12Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI

13. 13Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ

14. 14Department of Nephrology and Hypertension, Cleveland Clinic, Cleveland, OH

15. 15Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX

16. 16Joslin Diabetes Center, Boston, MA

17. 17Section of Nephrology, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA

18. 18Steno Diabetes Center Copenhagen, Gentofte, Denmark

19. 19Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

20. 20The Bioinformatics Center, Department of Biology, University of Copenhagen, Copenhagen, Denmark

21. 21Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI

22. 22Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI

23. 23Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO

24. 24University of Pittsburgh, Pittsburgh, PA

Abstract

OBJECTIVE Understanding mechanisms underlying rapid estimated glomerular filtration rate (eGFR) decline is important to predict and treat kidney disease in type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS We performed a case-control study nested within four T1D cohorts to identify urinary proteins associated with rapid eGFR decline. Case and control subjects were categorized based on eGFR decline ≥3 and <1 mL/min/1.73 m2/year, respectively. We used targeted liquid chromatography–tandem mass spectrometry to measure 38 peptides from 20 proteins implicated in diabetic kidney disease. Significant proteins were investigated in complementary human cohorts and in mouse proximal tubular epithelial cell cultures. RESULTS The cohort study included 1,270 participants followed a median 8 years. In the discovery set, only cathepsin D peptide and protein were significant on full adjustment for clinical and laboratory variables. In the validation set, associations of cathepsin D with eGFR decline were replicated in minimally adjusted models but lost significance with adjustment for albuminuria. In a meta-analysis with combination of discovery and validation sets, the odds ratio for the association of cathepsin D with rapid eGFR decline was 1.29 per SD (95% CI 1.07–1.55). In complementary human cohorts, urine cathepsin D was associated with tubulointerstitial injury and tubulointerstitial cathepsin D expression was associated with increased cortical interstitial fractional volume. In mouse proximal tubular epithelial cell cultures, advanced glycation end product–BSA increased cathepsin D activity and inflammatory and tubular injury markers, which were further increased with cathepsin D siRNA. CONCLUSIONS Urine cathepsin D is associated with rapid eGFR decline in T1D and reflects kidney tubulointerstitial injury.

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

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