Early Vascular Aging (EVA)
eBook - ePub

Early Vascular Aging (EVA)

New Directions in Cardiovascular Protection

  1. 376 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Early Vascular Aging (EVA)

New Directions in Cardiovascular Protection

About this book

Early Vascular Aging (EVA): New Directions in Cardiovascular Protection brings together the last decade of research related to the characterization of EVA, as well as the predictive power of pulse wave velocity (PWV).The book presents a novel approach to the problem of cardiovascular disease, showing it in relation to great vessels disease and revealing a comprehensive approach to the problem of increased rigidity of the great vessels, its causes, and further consequences.Information provided is accompanied by online access to a supplemental website with video clips of anatomic specimens, cardiac imaging, and surgical procedures.- Introduces the latest information on early vascular aging (EVA), complete with summaries of recent evidence and guidelines for relevant risk factor control- Ideal reference for the study of vascular aging, pulse wave velocity, arteriosclerosis, EVA, arterial stiffness, vascular, PWV biomarkers, and cardiovascular disease- Contains all the relevant information available from different fields of knowledge (from basic biology to epidemiology) in regard to EVA- Provides evidence that leads to a new target for interventions, early vascular aging (EVA) in subjects with early onset increased arterial stiffness- Includes online access to a supplemental website with video clips of anatomic specimens, cardiac imaging, and surgical procedures

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Yes, you can access Early Vascular Aging (EVA) by Michael Hecht Olsen,Peter M Nilsson,Stephane Laurent in PDF and/or ePUB format, as well as other popular books in Medicine & Geriatrics. We have over one million books available in our catalogue for you to explore.

Information

Year
2015
eBook ISBN
9780128016763
Subtopic
Geriatrics
Chapter 1

Historical Aspects and Biology of Aging

Peter M. Nilsson, Department of Clinical Sciences, Lund University, SkƄne University Hospital, Malmƶ, Sweden
Aging is a universal finding in all mammals, shaped by evolutionary selection and environmental influences. Without a deeper understanding of the biology of aging it is not possible to disentangle the complicated web of causation behind age-related chronic disease such as cardiovascular and metabolic disorders. The genetic program for longevity and life span is influenced by nutrition, that is, calorie intake and nutrients, as well as reproduction when the number of progeny may impact on the biology of their mothers. Epigenetic imprinting plays an important role. New research on the importance of early life factors for the programming of adult health and disease has contributed to the paradigm of a life course perspective on cardiometabolic disease. In this chapter these factors are further discussed and linked to the process of vascular aging, one reflection of the biology of aging in general for humans, leading to arteriosclerosis (arterial stiffness) and later on to atherosclerosis. New understanding can also bring new treatment, for example based on studies in either long-lived subjects or patients with premature aging, that is, included in the progeroid syndromes.

Keywords

Aging; arteriosclerosis; biology; cardiometabolic; evolution; longevity; vascular
Aging is a universal finding in humans, afflicting biological processes as well as maturation and deterioration of organ function. There exist a number of theories on how aging is programmed and develops as presented in gerontology, the science of normal aging. Not only the ā€œwear and tearā€ hypothesis exists but also aging models dependent on the influence of oxidative stress, metabolic processes, and the accumulation of genetic damage on the DNA and impaired genetic repair functions [1]. Modern discoveries point to the role of longevity-regulating genes, so-called ā€œgerontogenesā€ [2]. These gerontogenes are classified as lifespan regulators, mediators, effectors, housekeeping genes, genes involved in mitochondrial function linked to metabolism, and genes regulating cellular senescence and programmed cell death (apoptosis) [2]. Intensive research is directed to understand what regulates aging and how to control this, not at least apoptosis, of vital importance to understand organ development and changes in health and disease. The maximum lifespan recorded was 122 years for a French woman (Jean Calment, France, 1875–1977).
Even if it is very hard to disentangle the different influences on the aging process and to judge upon the accuracy of the different hypotheses to explain human aging in general, it comes natural to view aging in its evolutionary context as all aspects of human biology, and even cognitive function, are supposed to be influenced by evolutionary selection mechanisms during millennia perspectives.

Evolutionary Traits, Genes, and the Environment Influencing Aging

From an evolutionary perspective the lifespan of mammals has been formed by selective processes based on genetic regulation of survival and reproduction in relation to available nutrition, environmental hazards, and competition for resources. According to the ā€œdisposable soma hypothesisā€ by Kirkwood [3] there exists a trade-off between maintenance of bodily functions, depending on energy investments, and the costs of reproduction, especially for women. This is why, according to this hypothesis, women with a higher number of offspring will be at increased risk for a shorter lifespan as compared to women with fewer offspring, if basal health and social conditions tend to be equal, as studied in British noble families over many centuries [4]. This is also influenced by nutritional resources, as reproductive capacity in women tends to cease during periods of famine and starvation.
Behind such traits there must be genetic regulators, as evolution works via genetic adaption and fitness in relation to a changing environment. A further support for the genetic influence on longevity is the family resemblance of longevity as well as risk of some chronic disease conditions that tend to run in families, that is, clusters of cardiovascular disease [5] and metabolic abnormalities. According to a number of studies the genetic explanation of longevity is approximately 25% [6]. This leaves a substantial proportion of longevity to the influence of environmental factors or to epigenetic mechanisms (gene–environmental interactions). It is still unclear if true life-prolonging genes exist in humans as in other less-developed organisms (Caenorhabditis elegans), or if a long lifespan is a marker of the less strong impact or lack of disease-related genes in some individuals. According to environmental factors, there are many such detrimental factors well known to decrease lifespan, for example, smoking, infectious disease, and malnutrition, but the only environmental factor known to prolong life in mammals, at least in rodents and monkeys, is continuous calorie restriction [7]. This is believed to exert similar effects in humans but still not proven. Nevertheless some individuals have adopted a lifestyle based on calorie restriction and balanced physical activity, hoping for a prolonged life.

Changes During the Twentieth Century in Life Expectancy

There is no doubt that the rapid increase in longevity during the past twentieth century is an indication of the strong influence of environmental factors on human lifespan, reflecting better nutrition and housing, improved hygiene and conditions in early life, as well as the progress of healthcare and improved medical treatment, even if temporary setbacks have also been noticed, for example, in Russia during the 1990s [8]. The negative socioeconomic changes for many citizens in Russia during this period could be one component of the increased cardiovascular risk based on gene–environmental interactions in high-risk populations [9]. On the other hand, it is still necessary to understand the biology (and genetics) behind the aging process, as there are still many examples of differential aging also in developed countries. A proof of the role of genetic influences on aging and shortened lifespan are the rare conditions of Hutchinson–Gilford progeria in children and Werner’s syndrome in middle-aged subjects [10]. Even if these rare conditions are not possible to causally treat today, they represent an opportunity to learn more about biological changes taking place during the aging process, especially when it is upregulated in the progeria syndromes with shortened lifespan.

Early Life Programming Effects

Human life starts at the conception followed by a growth during 9 months in fetal life in utero when organs are formed and developed based on numerous cell divisions under genetic regulation. Nutritional factors are of great importance for this process, as mediated by the feto-placental unit and influenced by maternal dietary intakes. For more than 30 years now, researchers have documented the importance of fetal growth and birth weight for bodily development and health also in adult life. Starting with early observations from northern Norway by Forsdahl [11] and by Gennser [12] in Sweden, David Barker and many other colleagues developed a concept based on the detrimental health consequences of fetal growth retardation leading to the small-for-gestational age (SGA) phenotype in newborn babies. This condition in early life was associated with increased levels of cardiovascular risk factors (hypertension, dyslipidemia, and hyperglycemia) and even overt type 2 diabetes in adult life, but also with impaired neurocognitive developments and a number of other adverse health conditions, summarized in the so-called ā€œBarker hypothesisā€ [13]. In more recent years a new paradigm has evolved with a focus not only on fetal growth and birth weight as outcomes but also on postnatal growth patterns. Of special importance for adult health is the combination of impaired fetal growth, causing SGA at birth, combined with a rapid catch-up growth pattern in the first few years of life. This has been named the ā€œmismatchā€ growth pattern when different organs are programmed in utero for a life with scarce resources and calorie depletion but later on the newborn child will experience the opposite, an environment with a surplus of calories and nutritional abundance. This may negatively impact on organ development and increase the risk of cardiometabolic disturbances in adult life. The most well-known protagonists of the ā€œmismatchā€ hypothesis today are Peter Gluckman and Mark Hanson, with important reviews on the topic [14]. They are both active in the ā€œDevelopmental Origins of Health and Diseaseā€ (DOHaD) society, to further explore the mismatch hypothesis.
An even more recent hypothesis of early life programming of adult disease risk is linked to the impact on child gut microbiota from the mother during delivery [15], as a detrimental gut microbiota pattern could be one factor increasing the risk of obesity in adult life and adverse health conditions such as cardiovascular disease [16] and type 2 diabetes [17]. It is believed that the mother’s gut bacteria will normally colonize the gastrointestinal system of the newborn child and that this will protect from overgrowth of more deleterious skin bacteria that could be associated with later disease risk [15].
It is likely that such influences in early life from nutrition, growth patterns, and microbiota patterning could also impact on aging in general and/or age-related medical conditions. These include not only defined chronic disease but also the increasing frailty, that is, related to sarcopenia and osteoporosis in old age, as well as cognitive decline [18]. Newer studies on the life of centenarians have also highlighted the role of early life influences, for example, the longevity associated with being born to younger mothers (first-born) when siblings within the same family are compared [19]. There also seem to exist large gender differences found in longevity determinants for males and females, suggesting a higher importance of occupation history for male centenarians as well as a higher importance of home environment history for female centenarians [19].

Vascular Aging in Perspective

What implications do these observations have for the concept of early vascular aging (EVA) with increased arterial stiffness as a central characteristic [20]? First of all, EVA is likely to be an expression of biological aging in general and some of the mechanisms regulating aging in other organs must also be applicable to the vascular tissue, especially in the arterial wall. This is believed to be possible to estimate by measuring leukocyte telomere length (LTL), a proposed marker of biological aging as LTL tends to shorten with every cell division. However, in a large population-based study, the Asklepios study in Belgium, no association between pulse wave velocity (PWV), a marker of arterial stiffness as the core characteristic of EVA, and LTL was seen in a cross-sectional analysis [21]. On the other hand, some associations were seen with cardiac function, which is why the authors concluded that in a generally healthy, young to middle-aged population, LTL is not related to left ventricular (LV) mass or systolic function, but might be associated with an altered LV filling pattern, especially in women. The Asklepios study purposefully selected healthy individuals for screening.
The findings of this large and more recent Belgian study contradicts earlier observations from a smaller Frenc...

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. List of Contributors
  6. Preface
  7. Chapter 1. Historical Aspects and Biology of Aging
  8. Chapter 2. Cellular and Molecular Determinants of Arterial Aging
  9. Chapter 3. Aging Population: Challenges and Opportunities in a Life Course Perspective
  10. Chapter 4. Population-Based Studies: Milestones on the Epidemiological Timeline
  11. Chapter 5. Lessons from the Amsterdam Growth and Health Longitudinal Study
  12. Chapter 6. Cardiovascular Aging: Perspectives from the Baltimore Longitudinal Study of Aging (BLSA)
  13. Chapter 7. Changes in Peripheral Blood Pressure with Normal and Accelerated Aging
  14. Chapter 8. Changes in Arterial Stiffness with Normal and Accelerated Aging
  15. Chapter 9. Changes in Central Hemodynamics, Wave Reflection, and Heart–Vessel Coupling with Normal and Accelerated Aging
  16. Chapter 10. Early Aging of Endothelial Function and Platelet–Vessel Wall Interactions
  17. Chapter 11. The Cross-Talk Between the Macro- and the Microcirculation
  18. Chapter 12. Arterial Stiffness and Blood Pressure Variability
  19. Chapter 13. Early Vascular Aging in the Young: Influence of Birth Weight and Prematurity
  20. Chapter 14. Age-Induced Endothelial Dysfunction and Intima–Media Thickening
  21. Chapter 15. Glucose Metabolism, Diabetes, and the Arterial Wall
  22. Chapter 16. Chronic Inflammation and Atherosclerosis
  23. Chapter 17. Early and Late Stages of Chronic Kidney Disease in Relation to Arterial Changes
  24. Chapter 18. Non-Hemodynamic Components of EVA: Polycystic Ovary Syndrome (PCOS)
  25. Chapter 19. Impact of Arterial Aging on Early and Late Stages of Brain Damage
  26. Chapter 20. Telomere Biology and Vascular Aging
  27. Chapter 21. Traditional Versus New Models of Risk Prediction
  28. Chapter 22. Imaging Biomarkers: Carotid Intima-Media Thickness and Aortic Stiffness as Predictors of Cardiovascular Disease
  29. Chapter 23. Genetic Markers in Prediction of Cardiovascular Disease
  30. Chapter 24. Vascular Aging and Cardiovascular Disease
  31. Chapter 25. Lifestyle Intervention: What Works?
  32. Chapter 26. Targeting Blood Pressure Lowering and the Sympathetic Nervous System
  33. Chapter 27. Targeting Central Blood Pressure Through the Macro- and Microcirculation Cross-Talk
  34. Chapter 28. Treatment Aspects
  35. Chapter 29. New Drugs Under Development for Cardiovascular Prevention
  36. Chapter 30. Interventions to Retard Biological Aging to Be Explored
  37. Chapter 31. Immunization, Vaccines, and Immunomodulation
  38. Index