• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

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.

DOI:10.2174/1874609807666140521110314
PMID:24852013
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.四十年后的汉密尔顿自然选择力量
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.进化正统观念:衰老的进化理论是如何以及为何误入歧途的。
Curr Aging Sci. 2014;7(1):38-47. doi: 10.2174/1874609807666140521105844.
4
Evolution of ageing since Darwin.自达尔文以来衰老的演变。
J Genet. 2008 Dec;87(4):363-71. doi: 10.1007/s12041-008-0059-6.
5
Adaptation, aging, and genomic information.适应、衰老与基因组信息。
Aging (Albany NY). 2009 May 21;1(5):444-50. doi: 10.18632/aging.100053.
6
The units of selection.选择的单位
Novartis Found Symp. 1998;213:203-11; discussion 211-7.
7
Does aging stop?衰老会停止吗?
Curr Aging Sci. 2009 Mar;2(1):3-11. doi: 10.2174/1874609810902010003.
8
The concept of phenoptosis and its usefulness for controlling aging.自然凋亡的概念及其在控制衰老方面的作用。
Curr Aging Sci. 2014;7(1):32-7. doi: 10.2174/1874609807666140521103706.
9
Can Aging Develop as an Adaptation to Optimize Natural Selection? (Application of Computer Modeling for Searching Conditions When the "Fable of Hares" Can Explain the Evolution of Aging).衰老能否作为一种优化自然选择的适应性进化而发展?(运用计算机建模探寻“野兔寓言”能够解释衰老进化的条件)
Biochemistry (Mosc). 2018 Dec;83(12):1504-1516. doi: 10.1134/S0006297918120088.
10
Evolutionary theories of aging. 1. The need to understand the process of natural selection.衰老的进化理论。1. 理解自然选择过程的必要性。
Gerontology. 1999 Nov-Dec;45(6):336-8. doi: 10.1159/000022115.