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(Hypertension. 2002;40:229.)
© 2002 American Heart Association, Inc.
Brief Review |
From the Hypertension Research Center, University of Medicine and Dentistry of New Jersey, New Jersey Medical School, Newark, NJ.
Correspondence to Abraham Aviv, MD, Room F-464, MSB, Hypertension Research Center, University of Medicine and Dentistry of New Jersey, New Jersey Medical School, 185 South Orange Avenue, Newark, NJ 07103. E-mail avivab{at}umdnj.edu
| Abstract |
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Key Words: hypertension, essential aging genetics oxidative stress cardiovascular diseases
| Genetic Information, Biological Meaning, and the Limits of Present Models of Essential Hypertension |
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When attempts are made to model the functional relevance of a gene by extrapolating from the cellular to the systemic levels, often the most obvious predictions turn out to be incorrect. The experience with "knockout" mice clearly illustrates this point.2 Disabling a specific gene in a mouse does not always result in a living mouse that exhibits the anticipated phenotype based on a priori knowledge of gene function. Misunderstanding about the functions of the targeted gene only partially explains the failure to generate the anticipated phenotype. More often the unanticipated outcome relates to insufficient appreciation of the paramount effect of the biological milieu within which the targeted gene gives rise to phenotypic expressions. This is particularly applicable to complex genetic traits, which generally reflect the input of several or many genes that often interact, not only among themselves and with other genes, but also with the environment.
Primary hypertension is classified as monogenic hypertension or essential hypertension. Monogenic forms of hypertension result from major gene mutations that primarily influence one biological system.3 Each one of these mutations wreaks such physiological havoc that it overrides the actions of environmental factors. Further, when one of these mutations is present, attempts by the body to maintain homeostasis are not fully effective, and they take place at the expense of blood pressure elevation. The resulting well-defined phenotype, which is the signature of the disease, can be readily traced to the mutant gene. For instance, Liddles syndrome, arising from excess sodium reabsorption caused by mutations in subunits of the amiloride-sensitive sodium channel in the renal tubules, usually presents as a severe form of hypertension associated with a low plasma renin activity and hypokalemia.4,5
Although essential hypertension has a genetic component, 6 it presents with an array of poorly defined phenotypes, apparently arising from multiple variant genes. The difficulties in identifying these variant genes in the general population have been attributed to the polygenetic nature of essential hypertension and to the possibility that its phenotypes are poorly defined because of gene-gene and gene-environment interactions. In other words, any variant gene predisposing to essential hypertension would be difficult to identify because its effect on the overall increase in systemic blood pressure is relatively small and obscured by effects of other genes and the environment. What this argument fails to acknowledge, however, is that in industrialized societies, the systemic blood pressureparticularly the systolic blood pressureis largely age-dependent and primarily an index of vascular aging.711 In this regard, the search for variant genes that cause human diseases is based on the premise that gene segregation in a population follows principles of evolution by natural selection. But such principles are applicable only during the reproductive years, whereas essential hypertension, and particularly systolic hypertension, primarily occurs during the postreproductive period. It is necessary, therefore, to incorporate the factor of age (aging) into models of essential hypertension. The question that follows is "What type of age indicator should be included in such models?"
| Chronology Versus Biology of Aging and Diseases of Aging |
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| Telomeres and Aging In Vitro and In Vivo |
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There is no compelling evidence at present that in humans a causal relationship exists in vivo between telomere length and biological aging at the cellular or systemic levels. The lack of such evidence reflects the constrained nature of the in vivo studies, which in humans can primarily yield associative data. The missing evidence for mechanistic causality between telomere biology and human aging does not invalidate the use of telomere length as an indicator of biologic age in paradigms of essential hypertension, given that telomere length explains, in addition to chronological age, pulse pressure variation and the predilection to coronary heart disease among humans.14,15,27 It is possible, for instance, that telomere length is a surrogate marker for the effect of genetic and environmental factors that are determinants of biologic aging. Chief among these factors are reactive oxygen species (ROS).
| ROS, Inflammation, Telomere Dynamics, and Pulse Pressure |
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Inflammation is manifested by an increase in oxidative stress and in the turnover of white blood cells, a process that would accelerate the rate of telomere attrition in these cells. Interestingly, levels of ROS products are lower in women than men,37 perhaps because of the ability of estrogen to curtail ROS production and enhance ROS scavenging and degradation.3841 Moreover, women have longer telomeres in white blood cells than men14,15a finding consistent with lower ROS levels in women than men. Thus, the lasting effect of ROS and inflammation on telomere dynamics in white blood cells, on the one hand, and vascular biology, on the other, may be the missing link between the age-dependent rise in pulse pressure and telomere attrition in white blood cells. In fact, the recent finding of an association between the level of C-reactive protein, a major indicator of inflammation, and pulse pressure42 is in line with the concept that inflammation is a major factor that underlies the increased cardiovascular disease risks associated with aging.43,44
| Conclusion |
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| Acknowledgments |
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Received April 15, 2002; first decision May 2, 2002; accepted June 12, 2002.
| References |
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