Abstract
In cardiovascular disease, drugs are targeted toward normalizing a single risk factor, the on-target effect. The ultimate goal of drug treatment is to provide long-term cardiovascular organ protection. In recent years, several trials have shown that drugs with promising effects on the on-target risk factor failed to improve long-term cardiovascular protection. One explanation for these failures is that a drug does not only affect the risk factor to which it is targeted but also other parameters, off-target effects, which may also affect long-term cardiovascular outcomes. The drug effect on these off-target effects may be as large or even larger than the on-target effect. The off-target drug effects may consequently have an important impact on the drug effect on cardiovascular outcomes.
This chapter provides an overview of on-target and off-target effects of drugs used in cardiovascular risk management. Keynote in this chapter is that ignoring off-target effects of a drug may lead to severe misinterpretations about the long-term cardiovascular protective effect, with major consequences for society and individual patients. To solve this problem, all effects of a drug should be incorporated into a risk algorithm to obtain a more accurate estimation of the drug effect on long-term cardiovascular outcome.
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Abbreviations
- ACEi:
-
Angiotensin-converting-enzyme inhibitor
- ADVANCE:
-
Action in diabetes and vascular disease: preterax and diamicron MR-controlled evaluation
- ALTITUDE:
-
Aliskiren trial in type 2 diabetes using cardiorenal end points
- ARB:
-
Angiotensin receptor blocker
- DRI:
-
Direct renin inhibitor
- HDL-C:
-
High-density lipoprotein cholesterol
- hs-CRP:
-
High-sensitivity C-reactive protein
- IDNT:
-
Irbesartan diabetic nephropathy trial
- LDL-C:
-
Low-density lipoprotein cholesterol
- NT-proBNP:
-
N-terminal pro-braintype natriuretic peptide
- PRE score:
-
Parameter response efficacy score
- RAAS:
-
Renin-angiotensin-aldosterone system
- RENAAL:
-
Reduction of Endpoints in NIDDM with the Angiotensin II Antagonist Losartan study
- UKPDS:
-
UK Prospective Diabetes Study
References
Barter PJ, Caulfield M, Eriksson M, Grundy SM, Kastelein JJ, Komajda M, Lopez-Sendon J, et al. Effects of torcetrapib in patients at high risk for coronary events. N Engl J Med. 2007;357(21):2109–22.
Blind E, Dunder K, de Graeff PA, Abadie E. Rosiglitazone: a European regulatory perspective. Diabetologia. 2011;54(2):213–8.
Cohen AF. Developing drug prototypes: pharmacology replaces safety and tolerability? Nat Rev Drug Discov. 2010;9(11):856–65.
Folsom AR, Chambless LE, Ballantyne CM, Coresh J, Heiss G, Wu KK, Boerwinkle E, et al. An assessment of incremental coronary risk prediction using C-reactive protein and other novel risk markers: the atherosclerosis risk in communities study. Arch Intern Med. 2006;166(13):1368–73.
Hu X, Dietz JD, Xia C, Knight DR, Loging WT, Smith AH, Yuan H, Perry DA, Keiser J. Torcetrapib induces aldosterone and cortisol production by an intracellular calcium-mediated mechanism independently of cholesteryl ester transfer protein inhibition. Endocrinology. 2009;150(5):2211–9.
James WP, Caterson ID, Coutinho W, Finer N, Van Gaal LF, Maggioni AP, Torp-Pedersen C, et al. Effect of sibutramine on cardiovascular outcomes in overweight and obese subjects. N Engl J Med. 2010;363(10):905–17.
Kengne AP, Patel A, Marre M, Travert F, Lievre M, Zoungas S, Chalmers J, et al. Contemporary model for cardiovascular risk prediction in people with type 2 diabetes. Eur J Cardiovasc Prev Rehab. 2011;18:393–8.
Mann JF, Green D, Jamerson K, Ruilope LM, Kuranoff SJ, Littke T, Viberti G, ASCEND Study Group. Avosentan for overt diabetic nephropathy. J Am Soc Nephrol: JASN. 2010;21(3):527–35.
Nissen SE, Wolski K. Rosiglitazone revisited: an updated meta-analysis of risk for myocardial infarction and cardiovascular mortality. Arch Intern Med. 2010;170(14):1191–201.
Parving HH, Brenner BM, McMurray JJ, de Zeeuw D, Haffner SM, Solomon SD, Chaturvedi N, et al. Cardiorenal end points in a trial of aliskiren for type 2 diabetes. N Engl J Med. 2012;367(23):2204–13.
Schwartz GG, Olsson AG, Abt M, Ballantyne CM, Barter PJ, Brumm J, Chaitman BR, et al. Effects of dalcetrapib in patients with a recent acute coronary syndrome. N Engl J Med. 2012;367:2089–99.
Smink PA, Hoekman J, Grobbee DE, Eijkemans MJ, Parving HH, Persson F, Ibsen H, et al. A prediction of the renal and cardiovascular efficacy of aliskiren in ALTITUDE using short-term changes in multiple risk markers. Eur J Prev Cardiol. 2014a;21(4):434–41.
Smink PA, Miao Y, Eijkemans MJ, Bakker SJ, Raz I, Parving HH, Hoekman J, Grobbee DE, de Zeeuw D, Lambers Heerspink HJ. The importance of short-term off-target effects in estimating the long-term renal and cardiovascular protection of angiotensin receptor blockers. Clin Pharmacol Ther. 2014b;95(2):208–15.
Sofat R, Hingorani AD, Smeeth L, Humphries SE, Talmud PJ, Cooper J, Shah T, et al. Separating the mechanism-based and off-target actions of cholesteryl ester transfer protein inhibitors with CETP gene polymorphisms. Circulation. 2010;121(1):52–62.
Stevens RJ, Kothari V, Adler AI, Stratton IM, United Kingdom Prospective Diabetes Study (UKPDS) Group. The UKPDS risk engine: a model for the risk of coronary heart disease in type II diabetes (UKPDS 56). Clin Sci (London, England: 1979). 2001;101(6):671–9.
Wenzel RR, Littke T, Kuranoff S, Jurgens C, Bruck H, Ritz E, Philipp T, Mitchell A, SPP301 (Avosentan) Endothelin Antagonist Evaluation in Diabetic Nephropathy Study Investigators. Avosentan reduces albumin excretion in diabetics with macroalbuminuria. J Am Soc Nephrol: JASN. 2009;20(3):655–64.
Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation. 1998;97(18):1837–47.
Zhao L, Jin W, Rader D, Packard C, Feuerstein G. A translational medicine perspective of the development of torcetrapib: does the failure of torcetrapib development cast a shadow on future development of lipid modifying agents, HDL elevation strategies or CETP as a viable molecular target for atherosclerosis? A case study of the use of biomarkers and translational medicine in atherosclerosis drug discovery and development. Biochem Pharmacol. 2009;78(4):315–25.
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Smink, P.A., Heerspink, H.L.J. (2016). Use of Multiple Biomarkers to Estimate Cardiovascular Drug Efficacy: Advantage of a PRE Score. In: Patel, V., Preedy, V. (eds) Biomarkers in Cardiovascular Disease. Biomarkers in Disease: Methods, Discoveries and Applications. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7678-4_47
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DOI: https://doi.org/10.1007/978-94-007-7678-4_47
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