Association between TNF Receptors and KIM-1 with Kidney Outcomes in Early-Stage Diabetic Kidney Disease.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Source:
      Publisher: Wolters Kluwer Health Country of Publication: United States NLM ID: 101271570 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1555-905X (Electronic) Linking ISSN: 15559041 NLM ISO Abbreviation: Clin J Am Soc Nephrol Subsets: MEDLINE
    • Publication Information:
      Publication: 2023- : Hagerstown, MD : Wolters Kluwer Health
      Original Publication: Washington, D.C. : American Society of Nephrology, c2005-
    • Subject Terms:
    • Abstract:
      Background and Objectives: Clinical trials in nephrology are enriched for patients with micro- or macroalbuminuria to enroll patients at risk of kidney failure. However, patients with normoalbuminuria can also progress to kidney failure. TNF receptor-1, TNF receptor-2, and kidney injury marker-1 (KIM-1) are known to be associated with kidney disease progression in patients with micro- or macroalbuminuria. We assessed the value of TNF receptor-1, TNF receptor-2, and KIM-1 as prognostic biomarkers for CKD progression in patients with type 2 diabetes and normoalbuminuria.
      Design, Setting, Participants, & Measurements: TNF receptor-1, TNF receptor-2, and KIM-1 were measured using immunoassays in plasma samples from patients with type 2 diabetes at high cardiovascular risk participating in the Canagliflozin Cardiovascular Assessment Study trial. We used multivariable adjusted Cox proportional hazards analyses to estimate hazard ratios per doubling of each biomarker for the kidney outcome, stratified the population by the fourth quartile of each biomarker distribution, and assessed the number of events and event rates.
      Results: In patients with normoalbuminuria ( n =2553), 51 kidney outcomes were recorded during a median follow-up of 6.1 (interquartile range, 5.8-6.4) years (event rate, 3.5; 95% confidence interval, 2.6 to 4.6 per 1000 patient-years). Each doubling of baseline TNF receptor-1 (hazard ratio, 4.2; 95% confidence interval, 1.8 to 9.6) and TNF receptor-2 (hazard ratio, 2.3; 95% confidence interval, 1.5 to 3.6) was associated with a higher risk for the kidney outcome. Baseline KIM-1, urinary albumin-creatinine ratio, and eGFR were not associated with kidney outcomes. The event rates in the highest quartile of TNF receptor-1 (≥2992 ng/ml) and TNF receptor-2 (≥11,394 ng/ml) were 5.6 and 7.0 events per 1000 patient-years, respectively, compared with 2.8 and 2.3, respectively, in the lower three quartiles.
      Conclusions: TNF receptor-1 and TNF receptor-2 are associated with kidney outcomes in patients with type 2 diabetes and normoalbuminuria.
      Clinical Trial Registry Name and Registration Number: CANagliflozin cardioVascular Assessment Study (CANVAS), NCT01032629.
      (Copyright © 2022 by the American Society of Nephrology.)
    • References:
      Mosenzon O, Wiviott SD, Cahn A, Rozenberg A, Yanuv I, Goodrich EL, Murphy SA, Heerspink HJL, Zelniker TA, Dwyer JP, Bhatt DL, Leiter LA, McGuire DK, Wilding JPH, Kato ET, Gause-Nilsson IAM, Fredriksson M, Johansson PA, Langkilde AM, Sabatine MS, Raz I: Effects of dapagliflozin on development and progression of kidney disease in patients with type 2 diabetes: An analysis from the DECLARE-TIMI 58 randomised trial. Lancet Diabetes Endocrinol 7: 606–617, 2019.
      Neuen BL, Ohkuma T, Neal B, Matthews DR, de Zeeuw D, Mahaffey KW, Fulcher G, Li Q, Jardine M, Oh R, Heerspink HL, Perkovic V: Effect of canagliflozin on renal and cardiovascular outcomes across different levels of albuminuria: Data from the CANVAS Program. J Am Soc Nephrol 30: 2229–2242, 2019.
      Colhoun HM, Marcovecchio ML: Biomarkers of diabetic kidney disease. Diabetologia 61: 996–1011, 2018.
      Niewczas MA, Gohda T, Skupien J, Smiles AM, Walker WH, Rosetti F, Cullere X, Eckfeldt JH, Doria A, Mayadas TN, Warram JH, Krolewski AS: Circulating TNF receptors 1 and 2 predict ESRD in type 2 diabetes. J Am Soc Nephrol 23: 507–515, 2012.
      Coca SG, Nadkarni GN, Huang Y, Moledina DG, Rao V, Zhang J, Ferket B, Crowley ST, Fried LF, Parikh CR: Plasma biomarkers and kidney function decline in early and established diabetic kidney disease. J Am Soc Nephrol 28: 2786–2793, 2017.
      Skupien J, Warram JH, Niewczas MA, Gohda T, Malecki M, Mychaleckyj JC, Galecki AT, Krolewski AS: Synergism between circulating tumor necrosis factor receptor 2 and HbA( 1c ) in determining renal decline during 5-18 years of follow-up in patients with type 1 diabetes and proteinuria. Diabetes Care 37: 2601–2608, 2014.
      Han WK, Bailly V, Abichandani R, Thadhani R, Bonventre JV: Kidney Injury Molecule-1 (KIM-1): A novel biomarker for human renal proximal tubule injury. Kidney Int 62: 237–244, 2002.
      Nowak N, Skupien J, Niewczas MA, Yamanouchi M, Major M, Croall S, Smiles A, Warram JH, Bonventre JV, Krolewski AS: Increased plasma kidney injury molecule-1 suggests early progressive renal decline in non-proteinuric patients with type 1 diabetes. Kidney Int 89: 459–467, 2016.
      Sabbisetti VS, Waikar SS, Antoine DJ, Smiles A, Wang C, Ravisankar A, Ito K, Sharma S, Ramadesikan S, Lee M, Briskin R, De Jager PL, Ngo TT, Radlinski M, Dear JW, Park KB, Betensky R, Krolewski AS, Bonventre JV: Blood kidney injury molecule-1 is a biomarker of acute and chronic kidney injury and predicts progression to ESRD in type I diabetes. J Am Soc Nephrol 25: 2177–2186, 2014.
      Neal B, Perkovic V, de Zeeuw D, Mahaffey KW, Fulcher G, Stein P, Desai M, Shaw W, Jiang J, Vercruysse F, Meininger G, Matthews D: Rationale, design, and baseline characteristics of the Canagliflozin Cardiovascular Assessment Study (CANVAS)—A randomized placebo-controlled trial. Am Heart J 166: 217–223.e11, 2013.
      Neal B, Perkovic V, Mahaffey KW, de Zeeuw D, Fulcher G, Erondu N, Shaw W, Law G, Desai M, Matthews DR; CANVAS Program Collaborative Group: Canagliflozin and cardiovascular and renal events in type 2 diabetes. N Engl J Med 377: 644–657, 2017.
      Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro 3rd AF, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J; CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration): A new equation to estimate glomerular filtration rate. Ann Intern Med 150: 604–612, 2009.
      Kerr KF, Roth J, Zhu K, Thiessen-Philbrook H, Meisner A, Wilson FP, Coca S, Parikh CR: Evaluating biomarkers for prognostic enrichment of clinical trials. Clin Trials 14: 629–638, 2017.
      Gohda T, Niewczas MA, Ficociello LH, Walker WH, Skupien J, Rosetti F, Cullere X, Johnson AC, Crabtree G, Smiles AM, Mayadas TN, Warram JH, Krolewski AS: Circulating TNF receptors 1 and 2 predict stage 3 CKD in type 1 diabetes. J Am Soc Nephrol 23: 516–524, 2012.
      Lopes-Virella MF, Baker NL, Hunt KJ, Cleary PA, Klein R, Virella G; DCCT/EDIC Research Group: Baseline markers of inflammation are associated with progression to macroalbuminuria in type 1 diabetic subjects. Diabetes Care 36: 2317–2323, 2013.
      Gohda T, Nishizaki Y, Murakoshi M, Nojiri S, Yanagisawa N, Shibata T, Yamashita M, Tanaka K, Yamashita Y, Suzuki Y, Kamei N: Clinical predictive biomarkers for normoalbuminuric diabetic kidney disease. Diabetes Res Clin Pract 141: 62–68, 2018.
      Yamanouchi M, Skupien J, Niewczas MA, Smiles AM, Doria A, Stanton RC, Galecki AT, Duffin KL, Pullen N, Breyer MD, Bonventre JV, Warram JH, Krolewski AS: Improved clinical trial enrollment criterion to identify patients with diabetes at risk of end-stage renal disease. Kidney Int 92: 258–266, 2017.
      Schulz CA, Engström G, Nilsson J, Almgren P, Petkovic M, Christensson A, Nilsson PM, Melander O, Orho-Melander M: Plasma kidney injury molecule-1 (p-KIM-1) levels and deterioration of kidney function over 16 years. Nephrol Dial Transplant 35: 265–273, 2020.
      Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group: KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl 3: 1–150, 2013.
      Astor BC, Matsushita K, Gansevoort RT, van der Velde M, Woodward M, Levey AS, Jong PE, Coresh J, Astor BC, Matsushita K, Gansevoort RT, van der Velde M, Woodward M, Levey AS, de Jong PE, Coresh J, El-Nahas M, Eckardt KU, Kasiske BL, Wright J, Appel L, Greene T, Levin A, Djurdjev O, Wheeler DC, Landray MJ, Townend JN, Emberson J, Clark LE, Macleod A, Marks A, Ali T, Fluck N, Prescott G, Smith DH, Weinstein JR, Johnson ES, Thorp ML, Wetzels JF, Blankestijn PJ, van Zuilen AD, Menon V, Sarnak M, Beck G, Kronenberg F, Kollerits B, Froissart M, Stengel B, Metzger M, Remuzzi G, Ruggenenti P, Perna A, Heerspink HJ, Brenner B, de Zeeuw D, Rossing P, Parving HH, Auguste P, Veldhuis K, Wang Y, Camarata L, Thomas B, Manley T; Chronic Kidney Disease Prognosis Consortium: Lower estimated glomerular filtration rate and higher albuminuria are associated with mortality and end-stage renal disease. A collaborative meta-analysis of kidney disease population cohorts. Kidney Int 79: 1331–1340, 2011.
      Afkarian M, Zelnick LR, Hall YN, Heagerty PJ, Tuttle K, Weiss NS, de Boer IH: Clinical manifestations of kidney disease among US adults with diabetes, 1988-2014. JAMA 316: 602–610, 2016.
      Pavkov ME, Hanson RL, Knowler WC, Bennett PH, Krakoff J, Nelson RG: Changing patterns of type 2 diabetes incidence among Pima Indians. Diabetes Care 30: 1758–1763, 2007.
      Alicic RZ, Rooney MT, Tuttle KR: Diabetic kidney disease: Challenges, progress, and possibilities. Clin J Am Soc Nephrol 12: 2032–2045, 2017.
      Tuttle KR: The landscape of diabetic kidney disease transformed. Nat Rev Nephrol 16: 67–68, 2020.
      Perkovic V, de Zeeuw D, Mahaffey KW, Fulcher G, Erondu N, Shaw W, Barrett TD, Weidner-Wells M, Deng H, Matthews DR, Neal B: Canagliflozin and renal outcomes in type 2 diabetes: Results from the CANVAS Program randomised clinical trials. Lancet Diabetes Endocrinol 6: 691–704, 2018.
    • Grant Information:
      UL1 TR001863 United States TR NCATS NIH HHS; R01 DK126477 United States DK NIDDK NIH HHS; UH3 DK114920 United States DK NIDDK NIH HHS; R01 HL085757 United States HL NHLBI NIH HHS; R01 DK118222 United States DK NIDDK NIH HHS; R01 DK093770 United States DK NIDDK NIH HHS; UH3 DK114866 United States DK NIDDK NIH HHS; R01 DK115562 United States DK NIDDK NIH HHS; U01 DK106962 United States DK NIDDK NIH HHS; R01 DK112258 United States DK NIDDK NIH HHS
    • Contributed Indexing:
      Keywords: KIM-1; TNFR-1; TNFR-2; biomarkers; clinical trial design; hepatitis a virus cellular receptor 1; kidney outcomes; normoalbuminuria; prognosis; risk prediction
    • Molecular Sequence:
      ClinicalTrials.gov NCT01032629
    • Accession Number:
      0 (HAVCR1 protein, human)
      0 (Hepatitis A Virus Cellular Receptor 1)
      0 (Receptors, Tumor Necrosis Factor)
      0 (Sodium-Glucose Transporter 2 Inhibitors)
      0SAC974Z85 (Canagliflozin)
    • Publication Date:
      Date Created: 20211208 Date Completed: 20220317 Latest Revision: 20230421
    • Publication Date:
      20230422
    • Accession Number:
      PMC8823939
    • Accession Number:
      10.2215/CJN.08780621
    • Accession Number:
      34876454