Selected References on Aging
Author | : United States. Department of Health, Education, and Welfare. Library |
Publisher | : |
Total Pages | : 72 |
Release | : 1955 |
Genre | : Old age |
ISBN | : |
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Author | : United States. Department of Health, Education, and Welfare. Library |
Publisher | : |
Total Pages | : 72 |
Release | : 1955 |
Genre | : Old age |
ISBN | : |
Author | : United States. Federal Security Agency. Library |
Publisher | : |
Total Pages | : 44 |
Release | : 1952 |
Genre | : Aging |
ISBN | : |
Author | : Violet B. Turner |
Publisher | : |
Total Pages | : 274 |
Release | : 1951 |
Genre | : Chronic diseases |
ISBN | : |
Author | : Adelaide Rosalia Hasse |
Publisher | : |
Total Pages | : 94 |
Release | : 1935 |
Genre | : Old age pensions |
ISBN | : |
Author | : United States. Civil Aeronautics Administration |
Publisher | : |
Total Pages | : 62 |
Release | : 1947 |
Genre | : Aeronautics |
ISBN | : |
Author | : United States. Congress. House. Committee on Education and Labor |
Publisher | : |
Total Pages | : 280 |
Release | : 1963 |
Genre | : Older people |
ISBN | : |
Author | : Alexey Moskalev |
Publisher | : |
Total Pages | : 421 |
Release | : 2019 |
Genre | : Aging |
ISBN | : 9783030249724 |
This book collects and reviews, for the first time, a wide range of advances in the area of human aging biomarkers. This accumulated data allows researchers to assess the rate of aging processes in various organs and systems, and to individually monitor the effectiveness of therapies intended to slow aging. In an introductory chapter, the editor defines biomarkers of aging as molecular, cellular and physiological parameters that demonstrate reproducible changes - quantitative or qualitative - with age. The introduction recounts a study which aimed to create a universal model of biological age, whose most predictive parameters were albumin and alkaline phosphatase (indication liver function), glucose (metabolic syndrome), erythrocytes (respiratory function) and urea (renal function). The book goes on to describe DNA methylation, known as the "epigenetic clock," as currently the most comprehensive predictor of total mortality. It is also useful for predicting mortality from cancer and cardiovascular diseases, and for analyzing the effects of lifestyle factors including diet, exercise, and education. Individual contributions draw additional insight from research on genetics and epigenetic aging markers, and immunosenescence and inflammaging markers. A concluding chapter outlines the challenge of integrating of biological and clinical markers of aging. Biomarkers of Human Aging is written for professionals and practitioners engaged in the study of aging, and will be useful to both advanced students and researchers.