Suppr超能文献

An evolutionary and genomic approach to challenges and opportunities for eliminating aging.

作者信息

Rose Michael R, Rutledge Grant A, Phung Kevin H, Phillips Mark A, Greer Lee F, Mueller Laurence D

机构信息

Dept. of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697-2525, USA.

出版信息

Curr Aging Sci. 2014;7(1):54-9. doi: 10.2174/1874609807666140521110314.

Abstract

While solutions to major scientific and medical problems are never perfect or complete, it is still reasonable to delineate cases where both have been essentially solved. For example, Darwin's theory of natural selection provides a successful solution to the problem of biological adaptation, while the germ theory of infection solved the scientific problem of contagious disease. Likewise in the context of medicine, we have effectively solved the problem of contagious disease, reducing it to a minor cause of death and disability for almost everyone in countries with advanced medicine and adequate resources. Evolutionary biologists claim to have solved the scientific problem of aging: we explain it theoretically using Hamilton's forces of natural selection; in experimental evolution we readily manipulate the onset, rate, and eventual cessation of aging by manipulating these forces. In this article, we turn to the technological challenge of solving the medical problem of aging. While we feel that the broad outlines of such a solution are clear enough starting from the evolutionary solution to the scientific problem of aging, we do not claim that we can give a complete or exhaustive plan for medically solving the problem of aging. But we are confident that biology and medicine will effectively solve the problem of aging within the next 50 years, providing Hamiltonian lifestyle changes, tissue repair, and genomic technological opportunities are fully exploited in public health practices, in medical practice, and in medical research, respectively.

摘要

相似文献

1
An evolutionary and genomic approach to challenges and opportunities for eliminating aging.
Curr Aging Sci. 2014;7(1):54-9. doi: 10.2174/1874609807666140521110314.
2
Hamilton's forces of natural selection after forty years.
Evolution. 2007 Jun;61(6):1265-76. doi: 10.1111/j.1558-5646.2007.00120.x.
3
Evolutionary orthodoxy: how and why the evolutionary theory of aging went astray.
Curr Aging Sci. 2014;7(1):38-47. doi: 10.2174/1874609807666140521105844.
4
Evolution of ageing since Darwin.
J Genet. 2008 Dec;87(4):363-71. doi: 10.1007/s12041-008-0059-6.
5
Adaptation, aging, and genomic information.
Aging (Albany NY). 2009 May 21;1(5):444-50. doi: 10.18632/aging.100053.
6
The units of selection.
Novartis Found Symp. 1998;213:203-11; discussion 211-7.
7
Does aging stop?
Curr Aging Sci. 2009 Mar;2(1):3-11. doi: 10.2174/1874609810902010003.
8
The concept of phenoptosis and its usefulness for controlling aging.
Curr Aging Sci. 2014;7(1):32-7. doi: 10.2174/1874609807666140521103706.
10
Evolutionary theories of aging. 1. The need to understand the process of natural selection.
Gerontology. 1999 Nov-Dec;45(6):336-8. doi: 10.1159/000022115.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验