(Circulation. 2005;112:620-623.)
© 2005 American Heart Association, Inc.
Editorial |
From the Cardiovascular Department, LDS Hospital, University of Utah School of Medicine, Salt Lake City, Utah.
Correspondence to Jeffrey L. Anderson, Cardiovascular Department, LDS Hospital, University of Utah School of Medicine, Salt Lake City, UT 84143. E-mail jeffrey.anderson{at}ihc.com
Key Words: Editorials genetics interleukins inflammation
| Inflammation and Vascular Disease |
|---|
|
|
|---|
See p 643
Despite these advances, our understanding of vascular atherothrombotic processes is incomplete, and our ability to predict cardiovascular events, especially in individual patients, continues to be limited.4,5 Atherosclerosis is a multifactorial disease with environmental and polygenetic interactions each estimated to contribute equally to disease etiology. Hence, investigation of genetic variants interacting or reflecting environmentally triggered disease processes is of interest.
| Genetics and Atherothrombotic Disease |
|---|
|
|
|---|
Problems of replication can arise from a number of flaws in study design, including chance findings resulting from multiple comparisons coupled with publication bias; varying population admixture and poor phenotype description; and the complexity of the genetic structure itselfie, the presence of linkage groups within a gene. For example, ambiguous disease associations could result when a genetic marker under investigation is nonfunctional but is linked to the functional, disease-causing genetic variant on one (or a few) linkage group(s) ("haplotype[s]") but not on others. The study marker would appear among cases on a haplotype bearing the causative variant but could also appear among controls on other, benign haplotypes. This situation could produce a false-negative association in an inadequately powered study or lead to replication failure in samples drawn from populations of differing lineage. Thus, the use of haplotypes, rather than single SNPs alone, has been proposed to strengthen the investigation of associations with disease (phenotype), especially when the true functional SNP is uncertain.9,10 Such an approach that included the testing of haplotype associations was used in the study by Tiret et al11 in this issue of Circulation.
| Cytokines, Inflammatory Cascades, IL-18, and Atherothrombosis |
|---|
|
|
|---|
IL-18 is among the more recently recognized of these cytokines. IL-18 is a pleiotropic proinflammatory cytokine that has immunomodulatory effects on both the innate and the adaptive immune systems. It uniquely can induce T helper cell 1 or T helper 2 cell polarization as a function of the prevailing immunologic environment.12 Originally designated interferon-
inducing factor, IL-18 has received considerable recent attention. Circulating levels of IL-18 have been reported to be increased in many disease processes, which suggests that it might participate in pathophysiology. Thus, it is understandable that this cytokine would be chosen to be examined in the context of cardiovascular disease.
The relationship of IL-18 to atherosclerotic disease is still unfolding. To date, the most definitive information has come from mouse models. Independent studies have shown that exogenously administered IL-18 accelerates the rate of atherosclerotic lesion development13 and increases plaque size and inflammatory cell content.14 Conversely, the IL-18 binding protein (IL-18BP), a natural antagonist of IL-18, decreases inflammatory cell infiltrate and generates a stable plaque phenotype.15
Previous observational clinical studies have added some limited evidence to these animal studies favoring an etiologic role for IL-18. One study identified an association between plasma IL-18 and acute coronary syndromes and reported an inverse relationship between IL-18 concentrations and left ventricular ejection fraction.16 Another study identified IL-18 mRNA transcript within atherosclerotic lesions and reported an association between the (semiquantitative) level of transcript and plaque stability as determined by the presence or absence of symptoms.17 The largest prior observational study is represented by the initial report on the present study cohort.18
| The Study in This Issue |
|---|
|
|
|---|
Study Highlights
The cohort in the study by Tiret et al11 comprised 1288 patients whose follow-up was extended to a median of 6 years. All had baseline IL-18 levels and DNA sampled. This ambitious retrospective project determined all common genetic variations of the 4 genes of the IL-18 system; 22 polymorphisms (21 were SNPs) were found and tested independently or in linkage groups (haplotypes) as predictors of IL-18 concentrations, the intermediate phenotype, and clinical events (cardiovascular death, n=142), the clinical end point. In addition, the predictive ability of IL-18 concentrations was reassessed during the extended follow-up.
The first notable observation was that IL-18 concentrations were no longer predictive of cardiovascular deaths occurring after 4 years. A prominent genetic result was the absence of predictive ability of most SNPs tested alone, in haplotype groups, or in combinations among genes for either IL-18 levels or outcomes. In contrast, one specific SNP and one haplotype in the IL-18 gene were informative for both. The A +183G polymorphism and the GCAGT haplotype, which carried this SNP, predicted a 9% decrease in serum IL-18 concentration (P<0.001). Covariate adjustment caused minimal modification of the association. Despite the statistical significance of the association, the impact was small, with all haplotypes together explaining only 1.8% of the variability of IL-18 concentrations, and the A +183G polymorphism alone, carried by the GCAGT haplotype, only 1.1%.
None of the polymorphisms predicted deaths over 6 years. Considering only deaths occurring during the first 4 years of follow-up, a significant global association between haplotypes of IL-18 and cardiovascular death was found, which persisted after adjustment for cardiovascular risk factors. Considering individual IL-18 haplotypes, again GCAGT was singled out, and it was found to be associated with a protective effect on mortality both before and after adjustment for traditional risk factors (HR=0.57, P=0.021). Furthermore, the association was markedly weakened after additional adjustment for baseline IL-18 levels. The IL-18/A +183G polymorphism, located in the 3UTR, was postulated to affect mRNA stability, providing a molecular rationale for the observations.
Study Strengths and Limitations
Overall, this is an impressive research effort using current genetic techniques in a sample of moderate size and numbers of clinical events. The "system approach" to IL-18 is to be commended and emulated. Indeed, it can be expected that common polymorphisms, even when functionally active, are unlikely to individually explain a high proportion of clinical risk in a complex, multifactorial, and multigenic disease such as CAD, especially when applied in a global fashion across groups with diverse genetic and environmental backgrounds. (Otherwise, these variants likely would be suppressed or eliminated by natural selection over time.) However, the results are complex and the clinical consequences appear to be limited.
Baseline IL-18 predicted mortality initially but not during longer-term follow-up. It is unfortunate that additional sera were not available to track IL-18 during follow-up; future studies should obtain serial samples and determine the dynamics of IL-18 and the predictive value on cardiovascular risk of variations in concentration over time. Until then, the utility and applicability of serum IL-18 concentration as a clinical risk indicator must be questioned. Also, inflammatory marker levels might interact with pharmacological therapy (eg, statins, antiplatelet therapy, converting enzyme inhibitors), affecting the marker level and predictive value.19 Similarly, differing disease states (acute versus chronic coronary syndrome) might affect marker level, magnitude, and even direction of risk association. These factors were not well accounted for in the present study.
A minor allele of IL-18 and its associated haplotype were found to predict IL-18 levels but accounted for only 1% to 2% of IL-18 variability. This haplotype also predicted outcome (ie, it was protective) and IL-18 levels primarily accounted for this predictive effect, but, again, the variant explained only a minority of events. However, if IL-18 provides independent, complementary information to that of other cytokines and inflammatory markers (eg, IL-6, CRP), then it might be useful to develop a cytokine or inflammatory marker score in which a cluster of markers, each contributing incremental risk information, is assessed together to optimize risk prediction.20
A concern arising in observational studies such as this is the use of multiple comparisons: ie, among 4 genes, 22 SNPs, and multiple haplotypes, which raises the chance of false-positive findings. By chance alone, a few associations would be expected to achieve statistical "significance." Hence, replication in a prospectively studied, independent cohort is needed.7,8 Also, as Tiret et al11 note, although the study was inspired by interest in interactions among different genes, the multilocus exploratory approach was unrevealing and, admittedly, the study had limited power to detect these interactions, raising concerns about false-negative findings as well.
On the positive side, the study was based on sound biological rationale and on findings of preclinical and preliminary clinical studies, and a consistency of results between the intermediate phenotype (IL-18 level) and clinical outcome (CV death) was noted: Risk was accounted for by phenotypic effect, and an appealing mechanistic interpretation was proposed.
Study Implications
A valuable lesson of this study is the comprehensive, system-based genetic approach taken, which might usefully be applied to other atherosclerosis-related molecular biological systems. In this study only one promising IL-18 gene-related SNP/haplotype association was found, and its contribution to risk was modest, the mechanism speculative, and the likelihood of replication uncertain. Hence, additional studies are needed. However, such modest steps in understanding the genetic underpinnings of atherosclerosis are likely to be the rule rather than the exception, and in combination with contributions from several other systems, these small steps might well account for the greater part of the heritable basis of atherothrombosis risk.
Conclusion
A comprehensive approach to the assessment of a genetic risk contribution of the IL-18 system to cardiovascular disease (ie, mortality) was undertaken. Results suggested the IL-18/A +183G polymorphism and its SNP-carrying haplotype to be good candidates for further investigations. Study limitations, including those noted above, suggest that results should be considered hypothesis generating and be replicated in further studies.
| Footnotes |
|---|
| References |
|---|
|
|
|---|
2. Horne BD, Anderson JL, John JM, Weaver A, Bair TL, Jensen KR, Renlund DG, Muhlestein JB. Which white blood cell subtypes predict increased cardiovascular risk? J Am Coll Cardiol. 2005; 45: 16281643.
3. Pearson TA, Mensah GA, Alexander RW, Anderson JL, Cannon RO 3rd, Criqui M, Fadl YY, Fortmann SP, Hong Y, Myers GL, Rifai N, Smith SC Jr, Taubert K, Tracy RP, Vinicor F; Centers for Disease Control and Prevention; American Heart Association. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation. 2003; 107: 499511.
4. Danesh J, Wheeler JG, Hirschfield GM, Eda S, Eiriksdottir G, Rumley A, Lowe GD, Pepys MB, Gudnason V. C-reactive protein and other circulating markers of inflammation in the prediction of coronary heart disease. N Engl J Med. 2004; 350: 13871397.
5. Akosah KO, Schaper A, Cogbill C, Schoenfeld P. Preventing myocardial infarction in the young adult in the first place: how do the National Cholesterol Education Panel III guidelines perform? J Am Coll Cardiol. 2003; 41: 14751479.
6. Williams RR, Hunt SC, Heiss G, Province MA, Bensen JT, Higgins M, Chamberlain RM, Ware J, Hopkins PN. Usefulness of cardiovascular family history data for population-based preventive medicine and medical research (the Health Family Tree Study and the NHLBI Family Heart Study). Am J Cardiol. 2001; 87: 129135.[CrossRef][Medline] [Order article via Infotrieve]
7. Lohmueller KE, Pearce CL, Pike M, Lander ES, Hirschhorn JN. Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease. Nat Genet. 2003; 33: 177182.[CrossRef][Medline] [Order article via Infotrieve]
8. Ioannidis JP, Ntzani EE, Trikalinos TA, Contopoulos-Ioannidis DG. Replication validity of genetic association studies. Nat Genet. 2001; 29: 306309.[CrossRef][Medline] [Order article via Infotrieve]
9. Daly MJ, Rioux JD, Schaffner SF, Hudson TJ, Lander ES. High-resolution haplotype structure in the human genome. Nat Genet. 2001; 29: 229232.[CrossRef][Medline] [Order article via Infotrieve]
10. Johnson GC, Esposito L, Barratt BJ, Smith AN, Heward J, Di Genova G, Ueda H, Cordell HJ, Eaves IA, Dudbridge F, Twells RC, Payne F, Hughes W, Nutland S, Stevens H, Carr P, Tuomilehto-Wolf E, Tuomilehto J, Gough SC, Clayton DG, Todd JA. Haplotype tagging for the identification of common disease genes. Nat Genet. 2001; 29: 233237.[CrossRef][Medline] [Order article via Infotrieve]
11. Tiret T, Godefroy T, Lubos E, Nicaud V, Tregouet D-A, Barbaux S, Schnabel R, Bickel S, Espinola-Klein C, Poirier O, Perret C, Münzel T, Rupprecht H-J, Lackner K, Cambien F, Blankenberg S, for the AtheroGene Investigators. Genetic analysis of the interleukin-18 system highlights the role of the interleukin-18 gene in cardiovascular disease. Circulation. 2005; 112: 643650.
12. Nakanishi K, Yoshimoto T, Tsutsui H, Okamura H. Interleukin-18 is a unique cytokine tha stimulates both Th1 and Th2 responses depending on its cytokine milieu. Cytokine Growth Factor Rev. 2001; 12: 5372.[CrossRef][Medline] [Order article via Infotrieve]
13. Tenger C, Sundborger A, Jawien J, Zhou X. IL-18 accelerates atherosclerosis accompanied by elevation of IFN-gamma and CXCL16 expression independently of T cells. Arterioscler Thromb Vasc Biol. 2005; 25: 791796.
14. Whitman SC, Ravisankar P, Daugherty A. Interleukin-18 enhances atherosclerosis in apolipoprotein E (/) mice through release of interferon-gamma. Circ Res. 2002; 90: e34e38.[CrossRef][Medline] [Order article via Infotrieve]
15. Mallat Z, Corbaz A, Scoazec A, Graber P, Alouani S, Esposito B, Humbert Y, Chvatchko Y, Tedgui A. Interleukin-18/interleukin-18 binding protein signaling modulates atherosclerotic lesion development and stability. Circ Res. 2001; 89: e41e45.[CrossRef][Medline] [Order article via Infotrieve]
16. Mallat Z, Henry P, Fressonnet R, Alouani S, Scoazec A, Beaufils P, Chvatchko Y, Tedgui A. Increased plasma concentrations of interleukin-18 in acute coronary syndromes. Heart. 2002; 88: 467469.
17. Mallat Z, Corbaz A, Scoazec A, Besnard S, Leseche G, Chvatchko Y, Tedgui A. Expression of interleukin-18 in human atherosclerotic plaques and relation to plaque instability. Circulation. 2001; 104: 15981603.
18. Blankenberg S, Tiret T, Bickel C, Peetz D, Cambien F, Meyer J, Rupprecht HJ, for the AtheroGene Investigators. Interleukin 18 is a strong predictor of cardiovascular death in stable and unstable angina. Circulation. 2002; 106: 2430.
19. Anderson JL, Carlquist JF, Horne BD, Muhlestein JB. Cardiovascular pharmacogenomics: current status, future prospects. J Cardiovasc Pharmacol Therapeut. 2003; 8: 7183.
20. Martins TB, Roberts WL, Horne B, Anderson JL, Muhlestein B, Carlquist J, Hill HR. Risk factor analysis of serum cytokines in coronary artery disease patients and controls using a multiplexed fluorescent immunoassay. J Invest Med. 2004; 52: S127.
This article has been cited by other articles:
![]() |
Wenwei Liu, Qizhu Tang, Hua Jiang, Xiangwu Ding, Yongsheng Liu, Rui Zhu, Yongqian Tang, Bin Li, and Min Wei Promoter Polymorphism of Interleukin-18 in Angiographically Proven Coronary Artery Disease Angiology, April 1, 2009; 60(2): 180 - 185. [Abstract] [PDF] |
||||
![]() |
T. M. Frayling, S. Rafiq, A. Murray, A. J. Hurst, M. N. Weedon, W. Henley, S. Bandinelli, A.-M. Corsi, L. Ferrucci, J. M. Guralnik, et al. An Interleukin-18 Polymorphism Is Associated With Reduced Serum Concentrations and Better Physical Functioning in Older People J. Gerontol. A Biol. Sci. Med. Sci., January 1, 2007; 62(1): 73 - 78. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. G. Futterman and L. Lemberg Regular Physical Exercise Reduces Cardiovascular Risks Am. J. Crit. Care., January 1, 2006; 15(1): 99 - 102. [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Circulation Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2005 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |