ADAMTS13 predicts renal and cardiovascular events in type 2 diabetic patients and response to therapy

Erica Rurali, Marina Noris, Antonietta Chianca, Roberta Donadelli, Federica Banterla, Miriam Galbusera, Giulia Gherardi, Sara Gastoldi, Aneliya Parvanova, Ilian Iliev, Antonio Bossi, Carolina Haefliger, Roberto Trevisan, Giuseppe Remuzzi, Piero Ruggenenti, BENEDICT Study Group, G Remuzzi, P Ruggenenti, Villa Camozzi, R Trevisan, A R Dodesini, G Lepore, I Nosari, A Fassi, A Belviso, M Trillini, P Cravedi, C Chiurchiu, S Rota, S Prandini, A Bossi, A Parvanova, I P Iliev, V Lecchi, S Yakymchuk, R Mangili, M Filipponi, I P Iliev, S Tadini, N Rubis, G Gherardi, W Calini, O Diadei, M Lesti, D Rossoni, D Villa, G Gaspari, S Gelmi, A Remuzzi, B Ene-Iordache, S Carminati, A Perna, N Motterlini, A Chianca, F Gaspari, F Carrara, S Ferrari, N Stucchi, A Cannata, M Galbusera, S Gastoldi, C Tentori, M Noris, R Donadelli, E Rurali, S Nosari, E Valoti, G Gherardi, D Cugini, P Boccardo, L Minetti, G Remuzzi, U F Legler, B Kalsch, D Nehrdich, A Nicolucci, A Perna, P Ruggenenti, R Kay, G C Viberti, Erica Rurali, Marina Noris, Antonietta Chianca, Roberta Donadelli, Federica Banterla, Miriam Galbusera, Giulia Gherardi, Sara Gastoldi, Aneliya Parvanova, Ilian Iliev, Antonio Bossi, Carolina Haefliger, Roberto Trevisan, Giuseppe Remuzzi, Piero Ruggenenti, BENEDICT Study Group, G Remuzzi, P Ruggenenti, Villa Camozzi, R Trevisan, A R Dodesini, G Lepore, I Nosari, A Fassi, A Belviso, M Trillini, P Cravedi, C Chiurchiu, S Rota, S Prandini, A Bossi, A Parvanova, I P Iliev, V Lecchi, S Yakymchuk, R Mangili, M Filipponi, I P Iliev, S Tadini, N Rubis, G Gherardi, W Calini, O Diadei, M Lesti, D Rossoni, D Villa, G Gaspari, S Gelmi, A Remuzzi, B Ene-Iordache, S Carminati, A Perna, N Motterlini, A Chianca, F Gaspari, F Carrara, S Ferrari, N Stucchi, A Cannata, M Galbusera, S Gastoldi, C Tentori, M Noris, R Donadelli, E Rurali, S Nosari, E Valoti, G Gherardi, D Cugini, P Boccardo, L Minetti, G Remuzzi, U F Legler, B Kalsch, D Nehrdich, A Nicolucci, A Perna, P Ruggenenti, R Kay, G C Viberti

Abstract

In patients with diabetes, impaired ADAMTS13 (a disintegrin and metalloprotease with thrombospondin type 1 repeats, member 13) proteolysis of highly thrombogenic von Willebrand factor (VWF) multimers may accelerate renal and cardiovascular complications. Restoring physiological VWF handling might contribute to ACE inhibitors' (ACEi) reno- and cardioprotective effects. To assess how Pro618Ala ADAMTS13 variants and related proteolytic activity interact with ACEi therapy in predicting renal and cardiovascular complications, we genotyped 1,163 normoalbuminuric type 2 diabetic patients from BErgamo NEphrologic DIabetes Complications Trial (BENEDICT). Interaction between Pro618Ala and ACEi was significant in predicting both renal and combined renal and cardiovascular events. The risk for renal or combined events versus reference Ala carriers on ACEi progressively increased from Pro/Pro homozygotes on ACEi (hazard ratio 2.80 [95% CI 0.849-9.216] and 1.58 [0.737-3.379], respectively) to Pro/Pro homozygotes on non-ACEi (4.77 [1.484-15.357] and 1.99 [0.944-4.187]) to Ala carriers on non-ACEi (8.50 [2.416-29.962] and 4.00 [1.739-9.207]). In a substudy, serum ADAMTS13 activity was significantly lower in Ala carriers than in Pro/Pro homozygotes and in case subjects with renal, cardiovascular, or combined events than in diabetic control subjects without events. ADAMTS13 activity significantly and negatively correlated with all outcomes. In patients with diabetes, ADAMTS13 618Ala variant associated with less proteolytic activity, higher risk of chronic complications, and better response to ACEi therapy. Screening for Pro618Ala polymorphism may help identify patients with diabetes at highest risk who may benefit the most from early reno- and cardioprotective therapy.

Trial registration: ClinicalTrials.gov NCT00235014.

Figures

FIG. 1.
FIG. 1.
Schematic diagram of BENEDICT phase A type 2 diabetic patients screened for the Pro618Ala ADAMTS13. ACEi allocation: Ala carriers vs. Pro/Pro homozygotes, χ2 = 0.715, P = 0.398. Renal event development: Ala carriers, ACEi vs. non-ACEi, χ2 = 8.907, P = 0.003; Pro/Pro homozygotes, ACEi vs. non-ACEi, χ2 = 5.032, P = 0.025; ACEi, Ala carriers vs. Pro/Pro homozygotes, χ2 = 1.961, P = 0.161; non-ACEi, Ala carriers vs. Pro/Pro homozygotes, χ2 = 1.436, P = 0.231. Cardiovascular event development: Ala carriers, ACEi vs. non-ACEi, χ2 = 1.057, P = 0.304; Pro/Pro homozygotes, ACEi vs. non-ACEi, χ2 = 0.218, P = 0.641; ACEi, Ala carriers vs. Pro/Pro homozygotes, χ2 = 0.114, P = 0.736; non-ACEi, Ala carriers vs. Pro/Pro homozygotes, χ2 = 4.673, P = 0.031. Combined event development: Ala carriers, ACEi vs. non-ACEi, χ2=8.255, P = 0.004; Pro/Pro homozygotes, ACEi vs. non-ACEi, χ2 = 2.109, P = 0.146; ACEi, Ala carriers vs. Pro/Pro homozygotes, χ2 = 0.747, P = 0.388; non-ACEi, Ala carriers vs. Pro/Pro homozygotes, χ2 = 4.523, P = 0.033.
FIG. 2.
FIG. 2.
Impact of Pro618Ala polymorphism and ACEi therapy on considered events. Kaplan-Meyer curves show the percentages of Ala carriers or Pro/Pro homozygotes with or without ACEi therapy progressing to renal (A) or combined renal and/or cardiovascular (B) events throughout the study period. P values of unadjusted Cox analyses are shown. Boldface P values indicate statistical significance.
FIG. 3.
FIG. 3.
HR for considered events according to Pro618Ala genotype and ACEi treatment. HRs (95% CI) for renal and combined renal and/or cardiovascular events according to Pro618Ala polymorphism and ACEi therapy compared with Ala carriers on ACEi taken as the reference group are shown.
FIG. 4.
FIG. 4.
UAE rate, BP, and HbA1c according to Pro618Ala polymorphism and ACEi therapy. A: UAE rate (geometric mean and 95% CI) at basal and final visit. B: Mean SBP and DBP. C: HbA1c throughout the whole observation period. Differences in UAE rate between treatment groups are adjusted for baseline values by ANCOVA. Differences in BP and HbA1c between different groups are not significant.
FIG. 5.
FIG. 5.
Serum ADAMTS13 activity in case and control subjects. Diabetic case subjects with renal or cardiovascular events were compared with matched diabetic control subjects without events (A). B: Diabetic case subjects with renal and/or cardiovascular combined events were compared with matched diabetic control subjects without events and nondiabetic healthy control subjects. Data are expressed as means (SD). Boldface P values indicate statistical significance.

References

    1. Schramm TK, Gislason GH, Køber L, et al. Diabetes patients requiring glucose-lowering therapy and nondiabetics with a prior myocardial infarction carry the same cardiovascular risk: a population study of 3.3 million people. Circulation 2008;117:1945–1954
    1. Adler AI, Stevens RJ, Manley SE, Bilous RW, Cull CA, Holman RR, UKPDS GROUP Development and progression of nephropathy in type 2 diabetes: the United Kingdom Prospective Diabetes Study (UKPDS 64). Kidney Int 2003;63:225–232
    1. Ruggenenti P, Fassi A, Ilieva AP, et al. BENEDICT-B Study Investigators Effects of verapamil added-on trandolapril therapy in hypertensive type 2 diabetes patients with microalbuminuria: the BENEDICT-B randomized trial. J Hypertens 2011;29:207–216
    1. Ruggenenti P, Fassi A, Ilieva AP, et al. Bergamo Nephrologic Diabetes Complications Trial (BENEDICT) Investigators Preventing microalbuminuria in type 2 diabetes. N Engl J Med 2004;351:1941–1951
    1. Brenner BM, Cooper ME, de Zeeuw D, et al. RENAAL Study Investigators Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy. N Engl J Med 2001;345:861–869
    1. Investigators TH, Heart Outcomes Prevention Evaluation Study Investigators Effects of ramipril on cardiovascular and microvascular outcomes in people with diabetes mellitus: results of the HOPE study and MICRO-HOPE substudy. Lancet 2000;355:253–259
    1. Mustand JF, Packham MA. Platelets and diabetes mellitus. N Engl J Med 1984;311:665–667
    1. Yu Y, Suo L, Yu H, Wang C, Tang H. Insulin resistance and endothelial dysfunction in type 2 diabetes patients with or without microalbuminuria. Diabetes Res Clin Pract 2004;65:95–104
    1. Meigs JB, O’Donnell CJ, Tofler GH, et al. Hemostatic markers of endothelial dysfunction and risk of incident type 2 diabetes: the Framingham Offspring Study. Diabetes 2006;55:530–537
    1. Kistorp C, Chong AY, Gustafsson F, et al. Biomarkers of endothelial dysfunction are elevated and related to prognosis in chronic heart failure patients with diabetes but not in those without diabetes. Eur J Heart Fail 2008;10:380–387
    1. Sporn LA, Marder VJ, Wagner DD. von Willebrand factor released from Weibel-Palade bodies binds more avidly to extracellular matrix than that secreted constitutively. Blood 1987;69:1531–1534
    1. Turner NA, Nolasco L, Ruggeri ZM, Moake JL. Endothelial cell ADAMTS-13 and VWF: production, release, and VWF string cleavage. Blood 2009;114:5102–5111
    1. Dong JF, Moake JL, Nolasco L, et al. ADAMTS-13 rapidly cleaves newly secreted ultralarge von Willebrand factor multimers on the endothelial surface under flowing conditions. Blood 2002;100:4033–4039
    1. Galbusera M, Noris M, Remuzzi G. Inherited thrombotic thrombocytopenic purpura. Haematologica 2009;94:166–170
    1. Lemkes BA, Hermanides J, Devries JH, Holleman F, Meijers JC, Hoekstra JB. Hyperglycemia: a prothrombotic factor? J Thromb Haemost 2010;8:1663–1669
    1. Vazzana N, Ranalli P, Cuccurullo C, Davì G. Diabetes mellitus and thrombosis. Thromb Res 2012;129:371–377
    1. Hirano T, Ookubo K, Kashiwazaki K, Tajima H, Yoshino G, Adachi M. Vascular endothelial markers, von Willebrand factor and thrombomodulin index, are specifically elevated in type 2 diabetic patients with nephropathy: comparison of primary renal disease. Clin Chim Acta 2000;299:65–75
    1. Fioretto P, Stehouwer CD, Mauer M, et al. Heterogeneous nature of microalbuminuria in NIDDM: studies of endothelial function and renal structure. Diabetologia 1998;41:233–236
    1. Persson F, Rossing P, Hovind P, et al. Endothelial dysfunction and inflammation predict development of diabetic nephropathy in the Irbesartan in Patients with Type 2 Diabetes and Microalbuminuria (IRMA 2) study. Scand J Clin Lab Invest 2008;68:731–738
    1. Frankel DS, Meigs JB, Massaro JM, et al. Von Willebrand factor, type 2 diabetes mellitus, and risk of cardiovascular disease: the Framingham Offspring study. Circulation 2008;118:2533–2539
    1. Pelras S, Delmas Y, Lamireau D, et al. Severe transient ADAMTS13 deficiency in pneumococcal-associated hemolytic uremic syndrome. Pediatr Nephrol 2011;26:631–635
    1. Zhao BQ, Chauhan AK, Canault M, et al. von Willebrand factor-cleaving protease ADAMTS13 reduces ischemic brain injury in experimental stroke. Blood 2009;114:3329–3334
    1. Gandhi C, Motto DG, Jensen M, Lentz SR, Chauhan AK. ADAMTS13 deficiency exacerbates VWF-dependent acute myocardial ischemia/reperfusion injury in mice. Blood 2012;120:5224–5230
    1. Doi M, Matsui H, Takeda H, et al. ADAMTS13 safeguards the myocardium in a mouse model of acute myocardial infarction. Thromb Haemost 2012;108:1236–1238
    1. Taniguchi S, Hashiguchi T, Ono T, et al. Association between reduced ADAMTS13 and diabetic nephropathy. Thromb Res 2010;125:e310–e316
    1. Kaikita K, Soejima K, Matsukawa M, Nakagaki T, Ogawa H. Reduced von Willebrand factor-cleaving protease (ADAMTS13) activity in acute myocardial infarction. J Thromb Haemost 2006;4:2490–2493
    1. Chion CK, Doggen CJ, Crawley JT, Lane DA, Rosendaal FR. ADAMTS13 and von Willebrand factor and the risk of myocardial infarction in men. Blood 2007;109:1998–2000
    1. Kokame K, Matsumoto M, Soejima K, et al. Mutations and common polymorphisms in ADAMTS13 gene responsible for von Willebrand factor-cleaving protease activity. Proc Natl Acad Sci USA 2002;99:11902–11907
    1. Plaimauer B, Fuhrmann J, Mohr G, et al. Modulation of ADAMTS13 secretion and specific activity by a combination of common amino acid polymorphisms and a missense mutation. Blood 2006;107:118–125
    1. Jang MJ, Kim NK, Chong SY, et al. Frequency of Pro475Ser polymorphism of ADAMTS13 gene and its association with ADAMTS-13 activity in the Korean population. Yonsei Med J 2008;49:405–408
    1. De Cosmo S, Motterlini N, Prudente S, et al. BENEDICT Study Group Impact of the PPAR-gamma2 Pro12Ala polymorphism and ACE inhibitor therapy on new-onset microalbuminuria in type 2 diabetes: evidence from BENEDICT. Diabetes 2009;58:2920–2929
    1. Maeda S, Kobayashi MA, Araki S, et al. A single nucleotide polymorphism within the acetyl-coenzyme A carboxylase beta gene is associated with proteinuria in patients with type 2 diabetes. PLoS Genet 2010;6:e1000842.
    1. Kathiresan S, Melander O, Anevski D, et al. Polymorphisms associated with cholesterol and risk of cardiovascular events. N Engl J Med 2008;358:1240–1249
    1. Krolewski AS, Poznik GD, Placha G, et al. A genome-wide linkage scan for genes controlling variation in urinary albumin excretion in type II diabetes. Kidney Int 2006;69:129–136
    1. BENEDICT Group The BErgamo NEphrologic DIabetes Complications Trial (BENEDICT): design and baseline characteristics. Control Clin Trials 2003;24:442–461
    1. Noris M, Bucchioni S, Galbusera M, et al. International Registry of Recurrent and Familial HUS/TTP Complement factor H mutation in familial thrombotic thrombocytopenic purpura with ADAMTS13 deficiency and renal involvement. J Am Soc Nephrol 2005;16:1177–1183
    1. Galbusera M, Bresin E, Noris M, et al. Rituximab prevents recurrence of thrombotic thrombocytopenic purpura: a case report. Blood 2005;106:925–928
    1. Concato J, Feinstein AR, Holford TR. The risk of determining risk with multivariable models. Ann Intern Med 1993;118:201–210
    1. Altman DG, Bland JM. Interaction revisited: the difference between two estimates. BMJ 2003;326:219.
    1. Bellera CA, MacGrogan G, Debled M, de Lara CT, Brouste V, Mathoulin-Pélissier S. Variables with time-varying effects and the Cox model: some statistical concepts illustrated with a prognostic factor study in breast cancer. BMC Med Res Methodol 2010;10:20.
    1. Lancellotti S, De Filippis V, Pozzi N, et al. Formation of methionine sulfoxide by peroxynitrite at position 1606 of von Willebrand factor inhibits its cleavage by ADAMTS-13: A new prothrombotic mechanism in diseases associated with oxidative stress. Free Radic Biol Med 2010;48:446–456
    1. Okumura M, Imanishi M, Okamura M, et al. Role for thromboxane A2 from glomerular thrombi in nephropathy with type 2 diabetic rats. Life Sci 2003;72:2695–2705
    1. Khajehdehi P, Roozbeh J, Mostafavi H. A comparative randomized and placebo-controlled short-term trial of aspirin and dipyridamole for overt type-2 diabetic nephropathy. Scand J Urol Nephrol 2002;36:145–148
    1. De Meyer SF, Savchenko AS, Haas MS, et al. Protective anti-inflammatory effect of ADAMTS13 on myocardial ischemia/reperfusion injury in mice. Blood 2012;120:5217–5223
    1. Hershon KS. Mechanistic and clinical aspects of renin-angiotensin-aldosterone system blockade in the prevention of diabetes mellitus and cardiovascular disease. Endocr Pract 2011;17:430–440
    1. Napoli C, Bruzzese G, Ignarro LJ, et al. Long-term treatment with sulfhydryl angiotensin-converting enzyme inhibition reduces carotid intima-media thickening and improves the nitric oxide/oxidative stress pathways in newly diagnosed patients with mild to moderate primary hypertension. Am Heart J 2008;156:1154.e1151–1158
    1. Bravi MC, Armiento A, Laurenti O, et al. Insulin decreases intracellular oxidative stress in patients with type 2 diabetes mellitus. Metabolism 2006;55:691–695
    1. Giugliano D, Ceriello A, Paolisso G. Oxidative stress and diabetic vascular complications. Diabetes Care 1996;19:257–267
    1. Hernández E, Toledo T, Alamo C, Mon C, Rodicio JL, Praga M. Elevation of von Willebrand factor levels in patients with IgA nephropathy: effect of ACE inhibition. Am J Kidney Dis 1997;30:397–403
    1. Gibbs CR, Blann AD, Watson RD, Lip GY. Abnormalities of hemorheological, endothelial, and platelet function in patients with chronic heart failure in sinus rhythm: effects of angiotensin-converting enzyme inhibitor and beta-blocker therapy. Circulation 2001;103:1746–1751

Source: PubMed

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