|
|
||||||||
Lipids, Lipoproteins, and Cardiovascular Risk Factors |
1 Twin Research and Genetic Epidemiology Unit, St. Thomas Hospital, London SE1 7EH, UK.
2 Centre for Amyloidosis and Acute Phase Proteins, Department of Medicine, Royal Free Campus, Royal Free and University College Medical School, London NW3 2PF, UK.
aAuthor for correspondence. Fax 44-20-7433-2803; e-mail m.pepys{at}rfc.ucl.ac.uk.
| Abstract |
|---|
|
|
|---|
Methods: CRP and SAA concentrations were measured by well-validated automated microparticle capture enzyme immunoassays, standardized on the respective WHO International Reference Standards, in serum from 146 monozygotic and 164 dizygotic healthy female UK twin pairs from the general population, with mean (range) ages of 58.0 (4069.6) and 55.7 (4070.3) years, respectively, who were also very closely matched for height, weight, body mass index, blood pressure, and lifestyle variables. Statistical modeling based on variance components analysis was used to estimate the genetic contribution to the observed values.
Results: As reported previously, CRP values were associated with body mass index, smoking, and hormone replacement therapy. After exclusion of the few samples with CRP concentrations >10 mg/L, which indicate an ongoing acute-phase response rather than baseline values, and inclusion of adjustments for all known confounding variables, there was significantly higher correlation of CRP and SAA results among monozygotic than among dizygotic twins. The estimated hereditability (95% confidence interval) of baseline values was 52% (4062%) for CRP and 59% (4967%) for SAA.
Conclusion: There is a substantial genetic contribution to baseline serum concentrations of CRP and SAA.
| Introduction |
|---|
|
|
|---|
0.8 mg/L in carefully screened individuals (2) and 12 mg/L in unscreened general populations (3)(4)(5). However, the recent application of sensitive immunoassay procedures has shown that modest increases in CRP concentrations, well within the previously adopted "normal range" of up to 10 mg/L, significantly predict coronary events in patients with angina and, remarkably, in asymptomatic adult populations (6)(7).
Serum amyloid A protein (SAA) is the other major human acute-phase protein with a very wide dynamic range,
12000 mg/L. It has been much less extensively studied than CRP in relation to cardiovascular disease, but SAA concentrations in severe unstable angina behaved similarly to those of CRP (8). These findings suggest an association between inflammation and atherothrombotic events, but the stimuli for and the effects of the acute-phase response are not known.
Studies of individual variation in the baseline and acute-phase circulating concentrations of these proteins have been limited. The typical low baseline concentrations of both CRP and SAA are rather constant for each individual, with occasional higher values probably reflecting responses to intercurrent subclinical events (9)(10). Indeed, in the general population, the regression dilution ratio for pairs of CRP measurements made up to several years apart is
0.6 (11)(12)(13)(14). Acute-phase responses of CRP and SAA generally closely reflect the extent and activity of the underlying disease (1), but studies of rheumatoid arthritis and other diseases indicate that even individuals with apparently identical disease activities may mount widely varying acute-phase responses (15)(16).
In the absence of an ethically acceptable standardized experimental stimulus, it is not possible to study individual acute-phase responsiveness in humans. However, the extent to which baseline concentrations of CRP and SAA are genetically determined is of considerable interest, and we report here, for the first time, values in large well-matched cohorts of monozygotic (MZ) and dizygotic twins (DZ). This extends recent observations of CRP values among MZ twins alone (17).
| Materials and Methods |
|---|
|
|
|---|
measurement of crp and saa concentrations
Serum concentrations of CRP and SAA were measured by automated microparticle capture enzyme immunoassay, precisely as reported previously (9)(10). The CRP assay provides mg/L concentrations to one decimal place, and the SAA assay provides mg/L values to whole integers only. Both assays were standardized on the respective WHO International Reference Standards (20)(21).
analytical approach
MZ twins are genetically identical. DZ twins share, on average, one-half their genetic material. Both groups can be assumed to share cultural and family environments to an equal extent. Hence, demonstrating greater phenotypic correlation in MZ compared with DZ pairs provides an indication that genetic factors are involved in determining a trait. The relative contribution of genetic and environmental variation to a trait can be assessed quantitatively by variance components analysis based on the pattern of correlation among the twins (22). The approach considers the observed variation in CRP and SAA concentrations in the population to be attributed to genetic and environmental components. The genetic contribution to variation has a potential contribution from additive (A) and nonadditive or dominance (D) variation. Environmental variation has a potential contribution from variation in the common family environment of the twins (C) and variation that is unique to individual twins (E). The twin model stipulates that the phenotypic covariance (Cov) among twins can be expressed in terms of these variance components such that:
![]() |
![]() |
2 statistics. The parameter estimates of the model that provides the best balance of fit and parsimony give a quantitative measurement of the relative contribution of the size of each variance component. The analysis was confined to pairs in which both twins had a CRP value
10 mg/L, this being the 99th centile of the CRP distribution in carefully screened adult volunteer blood donors in the UK (2). Values of SAA and CRP were log-transformed to achieve a gaussian distribution. CRP and SAA concentrations are known to be influenced by age, body mass index (BMI), smoking history, and use of hormone replacement therapy. To take their potential effects into account, the variance components analysis was carried out on the residuals of a regression analysis in which all these confounding variables were included. Both baseline and acute-phase CRP and SAA values are known to be correlated in individuals. The extent to which shared genetic and environmental factors might explain this correlation was investigated here by considering a set of bivariate models, constructed as a Cholesky factorization (22), which included genetic and environmental variance components that were both unique to CRP and SAA and shared between them. Parameter estimates from the most appropriate bivariate models provide an estimate of the extent to which genetic and environmental factors contribute to the phenotypic correlation between CRP and SAA in individuals.
| Results |
|---|
|
|
|---|
|
The distributions of CRP and SAA in the MZ and DZ twins presented as singletons are shown in Table 2
. The range and distribution of values of both analytes were comparable to those reported for other healthy general populations (3)(4)(5)(23). The slightly lower CRP values in these twins reflect the more rigorous screening for genuinely healthy individuals than is the case in the very much larger surveys of general populations, and the present CRP values thus correspond more closely to those seen in volunteer blood donors (2). In the group as a whole, CRP values were associated with BMI, with smoking, and with the use of hormone replacement therapy, all consistent with other published studies (7), with a trend toward higher CRP concentrations in smokers and those with high BMI. As expected in healthy individuals, values in the great majority of individuals fell below the generally accepted upper limit of the reference interval (upper limit of normal) of 10 mg/L for both CRP and SAA (2)(9). CRP exceeded 10 mg/L with similar frequencies in the two groups, 7 MZ and 14 DZ pairs, and these were excluded from further analysis. However, inclusion of these higher values did not significantly affect the conclusions (analysis not shown).
|
Shown in Fig. 1
are the distributions of CRP and SAA in the MZ and DZ twins among pairs in which both twins had CRP values
10 mg/L, with values adjusted for age, BMI, smoking status, and the use of hormone replacement therapy. Both showed a higher correlation in MZ compared with DZ twins, indicating a genetic contribution.
|
The results of statistical modeling are shown in Table 3
. For both CRP and SAA, the pattern of variances and covariance in the twins was best explained by a model that contained only additive genetic and unique environmental variance components (AE model). The relative contribution of additive genetic variance (which equates to heritability) was estimated in the model to be 52% for CRP and 59% for SAA.
|
Baseline serum concentrations of CRP and SAA among the individuals studied here showed a significant correlation coefficient of 0.4, as expected from previous observations among unrelated individuals (23). When the modeling was extended to consider the full distribution of variances and covariance for CRP and SAA in the twins simultaneously, a bivariate AE model provided the most appropriate fit for data. In this model, 20% of the phenotypic covariance was accounted for by shared genetic factors (P = 0.05). Thus, genetic factors shared between CRP and SAA make a significant contribution to the correlation in baseline concentrations in individuals.
| Discussion |
|---|
|
|
|---|
Our results provide evidence that common genetic factors are involved in determining the baseline values of CRP and SAA. This is consistent with several possible mechanisms, for example, genetically determined polymorphisms in the proinflammatory cytokine cascade that regulates hepatic acute-phase protein gene expression, and some candidates with respect to CRP, which could also affect SAA production, have been suggested (25)(26). No amino acid sequence polymorphism of human CRP has been reported, but there may be otherwise silent intronic or regulatory genetic polymorphisms in the CRP gene that affect CRP production (27)(28)(29). In contrast, the acute-phase component of SAA, which was measured here, is a polymorphic family of proteins, and no studies have been reported of associations between particular isoforms and different baseline values. The present study did not include any genetic analysis of either CRP or SAA genes in these twin populations.
It is important to note that the correlations in the present study were sought only after exclusion of values from twin pairs in which one or more values exceeded the reference interval. Both CRP and SAA are exquisitely sensitive and extremely rapidly responsive systemic markers of inflammation and tissue damage, with enormous dynamic ranges, so that any acute-phase response value of either protein must completely obscure genetic determinants of the very low baseline values that are the subject of this study.
Inflammation is a very important pathogenetic component of both atherosclerosis and atherothrombotic events. There is clearly inflammation locally within atherosclerotic plaques. There are also systemic signs of inflammation, indicated most notably by the extremely sensitive circulating acute-phase proteins, although the source and identity of the triggers for their low-level up-regulation that predicts atherothrombotic events are not known. Thus it is not clear whether the modest increases in baseline CRP values that predict future coronary events reflect inflammation in atherosclerotic vascular lesions or low-grade inflammation elsewhere in the body that is either associated with or promotes atherogenesis and atherothrombosis. A further key unknown factor is whether acute-phase proteins, in particular CRP, which binds LDLs and can activate complement, and SAA, which is an apoprotein of HDL, may themselves contribute to the pathogenesis of atherothrombosis. Although the present demonstration that baseline CRP and SAA values are significantly genetically determined is of interest and potentially important in this regard, it still does not enable epidemiologic studies to establish or refute causal relationships between these proteins and cardiovascular disease. This will require specific drug or other interventions that selectively target the individual proteins and the demonstration that such maneuvers can affect cardiovascular disease outcomes.
| Acknowledgments |
|---|
| Footnotes |
|---|
1 Nonstandard abbreviations: CRP, C-reactive protein; SAA, serum amyloid A protein; MZ, monozygotic; DZ, dizygotic; and BMI, body mass index. ![]()
| References |
|---|
|
|
|---|
The following articles in journals at HighWire Press have cited this article:
![]() |
J. Shen and J. M. Ordovas Impact of Genetic and Environmental Factors on hsCRP Concentrations and Response to Therapeutic Agents Clin. Chem., February 1, 2009; 55(2): 256 - 264. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. B. Grammer, W. Marz, W. Renner, B. O. Bohm, and M. M. Hoffmann C-reactive protein genotypes associated with circulating C-reactive protein but not with angiographic coronary artery disease: the LURIC study Eur. Heart J., January 2, 2009; 30(2): 170 - 182. [Abstract] [Full Text] [PDF] |
||||
![]() |
W. Lieb, M. J. Pencina, T. J. Wang, M. G. Larson, K. J. Lanier, E. J. Benjamin, D. Levy, G. H. Tofler, J. B. Meigs, C. Newton-Cheh, et al. Association of Parental Hypertension With Concentrations of Select Biomarkers in Nonhypertensive Offspring Hypertension, August 1, 2008; 52(2): 381 - 386. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. Arima, M. Kubo, K. Yonemoto, Y. Doi, T. Ninomiya, Y. Tanizaki, J. Hata, K. Matsumura, M. Iida, and Y. Kiyohara High-Sensitivity C-Reactive Protein and Coronary Heart Disease in a General Population of Japanese: The Hisayama Study Arterioscler. Thromb. Vasc. Biol., July 1, 2008; 28(7): 1385 - 1391. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. P. Reiner, M. M. Wurfel, L. A. Lange, C. S. Carlson, A. S. Nord, C. L. Carty, M. J. Rieder, C. Desmarais, N. S. Jenny, C. Iribarren, et al. Polymorphisms of the IL1-Receptor Antagonist Gene (IL1RN) Are Associated With Multiple Markers of Systemic Inflammation Arterioscler. Thromb. Vasc. Biol., July 1, 2008; 28(7): 1407 - 1412. [Abstract] [Full Text] [PDF] |
||||
![]() |
F. G. Hage and A. J. Szalai C-Reactive Protein Gene Polymorphisms, C-Reactive Protein Blood Levels, and Cardiovascular Disease Risk J. Am. Coll. Cardiol., September 18, 2007; 50(12): 1115 - 1122. [Abstract] [Full Text] [PDF] |
||||
![]() |
X. Ye, Z. Yu, H. Li, O. H. Franco, Y. Liu, and X. Lin Distributions of C-Reactive Protein and its Association With Metabolic Syndrome in Middle-Aged and Older Chinese People J. Am. Coll. Cardiol., May 1, 2007; 49(17): 1798 - 1805. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. C. Crawford, C. L. Sanders, X. Qin, J. D. Smith, C. Shephard, M. Wong, L. Witrak, M. J. Rieder, and D. A. Nickerson Genetic Variation Is Associated With C-Reactive Protein Levels in the Third National Health and Nutrition Examination Survey Circulation, December 5, 2006; 114(23): 2458 - 2465. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. P. Hersh, D. T. Miller, D. J. Kwiatkowski, and E. K. Silverman Genetic determinants of C-reactive protein in COPD Eur. Respir. J., December 1, 2006; 28(6): 1156 - 1162. [Abstract] [Full Text] [PDF] |
||||
![]() |
Q. Wang, S. C. Hunt, Q. Xu, Y. E. Chen, M. A. Province, J. H. Eckfeldt, J. S. Pankow, and Q. Song Association study of CRP gene polymorphisms with serum CRP level and cardiovascular risk in the NHLBI Family Heart Study Am J Physiol Heart Circ Physiol, December 1, 2006; 291(6): H2752 - H2757. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. P Casas, T. Shah, J. Cooper, E. Hawe, A. D McMahon, D. Gaffney, C. J Packard, D. S O'Reilly, I. Juhan-Vague, J. S Yudkin, et al. Insight into the nature of the CRP-coronary event association using Mendelian randomization Int. J. Epidemiol., August 1, 2006; 35(4): 922 - 931. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Ladenvall, K. Jood, C. Blomstrand, S. Nilsson, C. Jern, and P. Ladenvall Serum C-Reactive Protein Concentration and Genotype in Relation to Ischemic Stroke Subtype Stroke, August 1, 2006; 37(8): 2018 - 2023. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. B. Goldstein, R. Adams, M. J. Alberts, L. J. Appel, L. M. Brass, C. D. Bushnell, A. Culebras, T. J. DeGraba, P. B. Gorelick, J. R. Guyton, et al. Primary Prevention of Ischemic Stroke: A Guideline From the American Heart Association/American Stroke Association Stroke Council: Cosponsored by the Atherosclerotic Peripheral Vascular Disease Interdisciplinary Working Group; Cardiovascular Nursing Council; Clinical Cardiology Council; Nutrition, Physical Activity, and Metabolism Council; and the Quality of Care and Outcomes Research Interdisciplinary Working Group: The American Academy of Neurology affirms the value of this guideline. Circulation, June 20, 2006; 113(24): e873 - e923. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. B. Goldstein, R. Adams, M. J. Alberts, L. J. Appel, L. M. Brass, C. D. Bushnell, A. Culebras, T. J. DeGraba, P. B. Gorelick, J. R. Guyton, et al. Primary Prevention of Ischemic Stroke: A Guideline From the American Heart Association/American Stroke Association Stroke Council: Cosponsored by the Atherosclerotic Peripheral Vascular Disease Interdisciplinary Working Group; Cardiovascular Nursing Council; Clinical Cardiology Council; Nutrition, Physical Activity, and Metabolism Council; and the Quality of Care and Outcomes Research Interdisciplinary Working Group: The American Academy of Neurology affirms the value of this guideline. Stroke, June 1, 2006; 37(6): 1583 - 1633. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. F. M. Wouters The systemic face of airway diseases: the role of C-reactive protein. Eur. Respir. J., May 1, 2006; 27(5): 877 - 879. [Full Text] [PDF] |
||||
![]() |
P. C. Kao, S.-C. Shiesh, and T.-J. Wu Serum C-reactive protein as a marker for wellness assessment. Ann. Clin. Lab. Sci., March 1, 2006; 36(2): 163 - 169. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. P.M. de Maat, E. M. Bladbjerg, J. von Bornemann Hjelmborg, L. Bathum, J. Jespersen, and K. Christensen Genetic Influence on Inflammation Variables in the Elderly Arterioscler. Thromb. Vasc. Biol., November 1, 2004; 24(11): 2168 - 2173. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. D. Kriketos, J. R. Greenfield, P. W. Peake, S. M. Furler, G. S. Denyer, J. A. Charlesworth, and L. V. Campbell Inflammation, Insulin Resistance, and Adiposity: A study of first-degree relatives of type 2 diabetic subjects Diabetes Care, August 1, 2004; 27(8): 2033 - 2040. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. R. Greenfield, K. Samaras, A. B. Jenkins, P. J. Kelly, T. D. Spector, J. R. Gallimore, M. B. Pepys, and L. V. Campbell Obesity Is an Important Determinant of Baseline Serum C-Reactive Protein Concentration in Monozygotic Twins, Independent of Genetic Influences Circulation, June 22, 2004; 109(24): 3022 - 3028. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Yamada Genetic Effects on Serum Concentrations of Serum Amyloid A Protein Clin. Chem., May 1, 2004; 50(5): 978 - 979. [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |