Abstract
Evidence-based medicine has considerably advanced the treatment of highly prevalent cardiovascular diseases. Its implementation was driven by multicenter interventional trials in treatment and placebo cohorts, propelling numerous biomedical innovations toward standard of care. While a uniform treatment can be effective in such disease cohorts (“one size fits all”), it neglects the genetic and phenotypic individuality of a single patient and his or her disease. Accordingly, a recent observation was made that several newer “mega” trials, demanding considerable resources for their execution, showed statistically significant differences in outcome, however, with small overall efficacies that render implementation in the clinics unlikely. To overcome this concerning development, new methods for individualized treatment of cardiovascular disease are required. Rarer conditions, such as distinct cardiomyopathies, may deliver the blueprint for a paradigm shift: deep and precise phenotyping of individual patients by a multimodal approach and development of targeted treatments for smaller groups (“one treatment for many”) or even for single patients (“one treatment of some”).
Zusammenfassung
Durch die evidenzbasierte Medizin kam es zu beträchtlichen Fortschritten in der Behandlung von Herz-Kreislauf-Erkrankungen mit hoher Prävalenz. Ihre Etablierung wurde durch multizentrische Interventionsstudien mit Therapie- und Placebokohorten gefördert, was dazu führte, dass zahlreiche biomedizinische Neuerungen in die Standardversorgung Aufnahme fanden. Während die gleiche Behandlung für alle in solchermaßen erkrankten Kohorten wirksam sein kann („Einheitsgröße“), werden die genetischen und phänotpyischen individuellen Merkmale des einzelnen Patienten und seiner Krankheit dabei vernachlässigt. Entsprechend wurde kürzlich beobachtet, dass einige neuere „Megastudien“, die beträchtliche Ressourcen für ihre Durchführung binden, statistisch signifikante Unterschiede im Ergebnis aufwiesen, jedoch mit geringer Gesamtwirksamkeit, welche die Etablierung im klinischen Alltag unwahrscheinlich macht. Um diese beunruhigende Entwicklung zu überwinden, sind neue Methoden für die individualisierte Behandlung von Herz-Kreislauf-Erkrankungen erforderlich. Seltenere Erkrankungen, wie bestimmte Kardiomyopathien, bieten möglicherweise eine Vorlage für einen Paradigmenwechsel: tiefe und präzise Phänotypisierung einzelner Patienten in einem multimodalen Ansatz und Entwicklung gezielter Therapie für kleinere Gruppen („eine Therapie für viele“) oder sogar für einzelne Patienten („eine Therapie für einige“).
Similar content being viewed by others
References
Scandinavian Simvastatin Survival Study Group (1994) Randomised trial of cholesterol lowering in 4444 patients with coronary heart disease: the Scandinavian Simvastatin Survival Study (4S). Lancet 344(8934):1383–1389
Böhm M et al (2007) Positionspapier zur Statintherapie. Clin Res Cardiol Suppl 2(1):8–15
Chandra A, Garthwaite C, Stern AD (2017) Characterizing the drug development pipeline for precision medicines, in economic dimensions of personalized and precision medicine. University of Chicago Press, Chicago
Raghow RA (2016) “Omics” perspective on cardiomyopathies and heart failure. Trends Mol Med 22(9):813–827
Rosmini S et al (2017) Relationship between aetiology and left ventricular systolic dysfunction in hypertrophic cardiomyopathy. Heart 103(4):300–306
Rombach SM et al (2014) Natural course of Fabry disease and the effectiveness of enzyme replacement therapy: a systematic review and meta-analysis: effectiveness of ERT in different disease stages. J Inherit Metab Dis 37(3):341–352
Hughes DA et al (2017) Oral pharmacological chaperone migalastat compared with enzyme replacement therapy in Fabry disease: 18-month results from the randomised phase III ATTRACT study. J Med Genet 54(4):288–296
Connelly S et al (2010) Structure-based design of kinetic stabilizers that ameliorate the transthyretin amyloidoses. Curr Opin Struct Biol 20(1):54–62
Sultan MB et al (2017) Treatment with tafamidis slows disease progression in early-stage transthyretin cardiomyopathy. Clin Med Insights Cardiol 11:1179546817730322
Maron BJ, Maron MS, Semsarian C (2012) Genetics of hypertrophic cardiomyopathy after 20 years: clinical perspectives. J Am Coll Cardiol 60(8):705–715
Sedaghat-Hamedani F et al (2017) Clinical outcomes associated with sarcomere mutations in hypertrophic cardiomyopathy: a meta-analysis on 7675 individuals. Clin Res Cardiol. https://doi.org/10.1007/s00392-017-1155-5
Elliott PM et al (2014) ESC Guidelines on diagnosis and management of hypertrophic cardiomyopathy. Kardiol Pol 72(11):1054–1126
Schulze-Bahr E et al (2015) Gendiagnostik bei kardiovaskulären ErkrankungenMolecular diagnostics of cardiovascular diseases. Kardiologe 9(3):213–243
Ho CY et al (2015) Diltiazem treatment for pre-clinical hypertrophic cardiomyopathy sarcomere mutation carriers: a pilot randomized trial to modify disease expression. Jacc Heart Fail 3(2):180–188
Kayvanpour E, Katus HA, Meder B (2015) Determined to fail—the role of genetic mechanisms in heart failure. Curr Heart Fail Rep 12(5):333–338
Haas J et al (2015) Atlas of the clinical genetics of human dilated cardiomyopathy. Eur Heart J 36(18):1123–135a
Hastings R et al (2016) Combination of whole genome sequencing, linkage, and functional studies implicates a missense mutation in titin as a cause of autosomal dominant cardiomyopathy with features of left ventricular noncompaction. Circ Cardiovasc Genet 9(5):426–435
Sedaghat-Hamedani F et al (2017) Clinical genetics and outcome of left ventricular non-compaction cardiomyopathy. Eur Heart J. https://doi.org/10.1093/eurheartj/ehx545
Herman DS et al (2012) Truncations of titin causing dilated cardiomyopathy. N Engl J Med 366(7):619–628
Hinze F et al (2016) Reducing RBM20 activity improves diastolic dysfunction and cardiac atrophy. J Mol Med 94(12):1349–1358
Kumar S et al (2016) Long-term arrhythmic and nonarrhythmic outcomes of lamin A/C mutation carriers. J Am Coll Cardiol 68(21):2299–2307
Muchir A, Wu W, Worman HJ (2010) Mitogen-activated protein kinase inhibitor regulation of heart function and fibrosis in cardiomyopathy caused by lamin A/C gene mutation. Trends Cardiovasc Med 20(7):217–221
Muchir A et al (2012) Abnormal p38alpha mitogen-activated protein kinase signaling in dilated cardiomyopathy caused by lamin A/C gene mutation. Hum Mol Genet 21(19):4325–4333
MacRae C et al (2016) Phase 2 study of A797, an oral, selective p38 mitogen-activated protein kinase inhibitor, in patients with lamin A/C-related dilated cardiomyopathy. Eur Heart J 37(1011):P4981
Mearini G et al (2014) Mybpc3 gene therapy for neonatal cardiomyopathy enables long-term disease prevention in mice. Nat Commun 5:5515
Prondzynski M et al (2017) Evaluation of MYBPC3 trans-splicing and gene replacement as therapeutic options in human iPSC-derived cardiomyocytes. Mol Ther Nucleic Acids 7:475–486
Weinberger F et al (2016) Cardiac repair in guinea pigs with human engineered heart tissue from induced pluripotent stem cells. Sci Transl Med 8(363):363ra148
Liu J, Harper SQ (2012) RNAi-based gene therapy for dominant limb girdle muscular dystrophies. Curr Gene Ther 12(4):307–314
McNally EM, Wyatt EJ (2017) Mutation-based therapy for Duchenne muscular dystrophy: antisense treatment arrives in the clinic. Circulation 136(11):979–981
Karakikes I et al (2015) Correction of human phospholamban R14del mutation associated with cardiomyopathy using targeted nucleases and combination therapy. Nat Commun 6:6955
Ma H et al (2017) Correction of a pathogenic gene mutation in human embryos. Nature 548(7668):413–419
Kayvanpour E et al (2017) Genotype-phenotype associations in dilated cardiomyopathy: meta-analysis on more than 8000 individuals. Clin Res Cardiol 106(2):127–139
Haas J et al (2017) Genomic structural variations lead to dysregulation of important coding and non-coding RNA species in dilated cardiomyopathy. Embo Mol Med. https://doi.org/10.15252/emmm.201707838
Chen Y et al (2015) Histone deacetylase (HDAC) inhibition improves myocardial function and prevents cardiac remodeling in diabetic mice. Cardiovasc Diabetol 14:99
Hang CT et al (2010) Chromatin regulation by Brg1 underlies heart muscle development and disease. Nature 466(7302):62–67
Greco CM et al (2016) DNA hydroxymethylation controls cardiomyocyte gene expression in development and hypertrophy. Nat Commun 7:12418
Movassagh M et al (2011) Distinct epigenomic features in end-stage failing human hearts. Circulation 124(22):2411–2422
Haas J et al (2013) Alterations in cardiac DNA methylation in human dilated cardiomyopathy. Embo Mol Med 5(3):413–429
Meder B et al (2017) Epigenome-wide association study identifies cardiac gene patterning and a novel class of biomarkers for heart failure. Circulation 136(16):1528–1544
Mayer SC et al (2015) Adrenergic repression of the epigenetic reader meCP2 facilitates cardiac adaptation in chronic heart failure. Circ Res 117(7):622–633
Xiao D et al (2014) Inhibition of DNA methylation reverses norepinephrine-induced cardiac hypertrophy in rats. Cardiovasc Res 101(3):373–382
Kumarswamy R et al (2014) Circulating long noncoding RNA, LIPCAR, predicts survival in patients with heart failure. Circ Res 114(10):1569–1575
Schiano C et al (2017) Heart failure: pilot transcriptomic analysis of cardiac tissue by RNA-sequencing. Cardiol J. https://doi.org/10.5603/CJ.a2017.0052
Chaitra KL et al (2013) miRNA regulation during cardiac development and remodeling in cardiomyopathy. Excli J 12:980–992
Small EM, Olson EN (2011) Pervasive roles of microRNAs in cardiovascular biology. Nature 469(7330):336–342
Wahlquist C et al (2014) Inhibition of miR-25 improves cardiac contractility in the failing heart. Nature 508(7497):531–535
Gurha P et al (2012) Targeted deletion of microRNA-22 promotes stress-induced cardiac dilation and contractile dysfunction. Circulation 125(22):2751–2761
Thum T et al (2008) MicroRNA-21 contributes to myocardial disease by stimulating MAP kinase signalling in fibroblasts. Nature 456(7224):980–984
Vogel B et al (2013) Multivariate miRNA signatures as biomarkers for non-ischaemic systolic heart failure. Eur Heart J 34(36):2812–2822
de Franciscis S, Metzinger L, Serra R (2016) The discovery of novel genomic, transcriptomic, and proteomic biomarkers in cardiovascular and peripheral vascular disease: the state of the art. Biomed Res Int. https://doi.org/10.1155/2016/7829174
Rohde D et al (2011) S100A1 gene therapy for heart failure: a novel strategy on the verge of clinical trials. J Mol Cell Cardiol 50(5):777–784
Alvarez P, Tang WW (2017) Recent advances in understanding and managing cardiomyopathy. F1000Res 6:1659
Halliday BP et al (2017) Personalizing risk stratification for sudden death in dilated cardiomyopathy: the past, present, and future. Circulation 136(2):215–231
Kober L et al (2016) Defibrillator implantation in patients with nonischemic systolic heart failure. N Engl J Med 375(13):1221–1230
Aro AL, Kentta TV, Huikuri HV (2016) Microvolt T‑wave alternans: where are we now? Arrhythm Electrophysiol Rev 5(1):37–40
Sedaghat-Hamedani F et al (2015) Biomarker changes after strenuous exercise can mimic pulmonary embolism and cardiac injury—a metaanalysis of 45 studies. Clin Chem 61(10):1246–1255
Amr A et al (2016) Personalized computer simulation of diastolic function in heart failure. Genomics Proteomics Bioinformatics 14(4):244–252
Kayvanpour E et al (2015) Towards personalized cardiology: multi-scale modeling of the failing heart. PLoS ONE 10(7):e134869
Gulati A et al (2013) Association of fibrosis with mortality and sudden cardiac death in patients with nonischemic dilated cardiomyopathy. JAMA 309(9):896–908
Halliday BP et al (2017) Association between midwall late gadolinium enhancement and sudden cardiac death in patients with dilated cardiomyopathy and mild and moderate left ventricular systolic dysfunction. Circulation 135(22):2106–2115
van Rijsingen IA et al (2012) Risk factors for malignant ventricular arrhythmias in lamin a/c mutation carriers a European cohort study. J Am Coll Cardiol 59(5):493–500
Authors/Task Force, Elliott PM et al (2014) 2014 ESC Guidelines on diagnosis and management of hypertrophic cardiomyopathy: the Task Force for the Diagnosis and Management of Hypertrophic Cardiomyopathy of the European Society of Cardiology (ESC). Eur Heart J 35(39):2733–2779
Liebregts M et al (2017) Validation of the HCM Risk-SCD model in patients with hypertrophic cardiomyopathy following alcohol septal ablation. Europace. https://doi.org/10.1093/europace/eux251
Schork NJ (2015) Personalized medicine: time for one-person trials. Nature 520(7549):609–611
Acknowledgements
Our work is supported by grants from the DZHK (“Deutsches Zentrum für Herz-Kreislauf-Forschung”, German Centre for Cardiovascular Research), the German Ministry of Education and Research (caRNAtion, Promise), and the European Union (FP7 BestAgeing, ERA-CVD DETECTIN-HF).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
F. Sedaghat-Hamedani, H. A. Katus, and B. Meder declare that they have no competing interests.
This article does not contain any studies with human participants or animals performed by any of the authors.
Rights and permissions
About this article
Cite this article
Sedaghat-Hamedani, F., Katus, H.A. & Meder, B. Precision medicine for cardiovascular disease. Herz 43, 123–130 (2018). https://doi.org/10.1007/s00059-017-4667-x
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00059-017-4667-x