将老化时钟与正确描述生物年龄联系起来。

IF 8 1区 医学 Q1 CELL BIOLOGY
Aging Cell Pub Date : 2024-10-11 DOI:10.1111/acel.14377
Adiv A Johnson, Maxim N Shokhirev
{"title":"将老化时钟与正确描述生物年龄联系起来。","authors":"Adiv A Johnson, Maxim N Shokhirev","doi":"10.1111/acel.14377","DOIUrl":null,"url":null,"abstract":"<p><p>Usage of the phrase \"biological age\" has picked up considerably since the advent of aging clocks and it has become commonplace to describe an aging clock's output as biological age. In contrast to this labeling, biological age is also often depicted as a more abstract concept that helps explain how individuals are aging internally, externally, and functionally. Given that the bulk of molecular aging is tissue-specific and aging itself is a remarkably complex, multifarious process, it is unsurprising that most surveyed scientists agree that aging cannot be quantified via a single metric. We share this sentiment and argue that, just like it would not be reasonable to assume that an individual with an ideal grip strength, VO<sub>2</sub> max, or any other aging biomarker is biologically young, we should be careful not to conflate an aging clock with whole-body biological aging. To address this, we recommend that researchers describe the output of an aging clock based on the type of input data used or the name of the clock itself. Epigenetic aging clocks produce epigenetic age, transcriptomic aging clocks produce transcriptomic age, and so forth. If a clock has a unique name, such as our recently developed epigenetic aging clock CheekAge, the name of the clock can double as the output. As a compromise solution, aging biomarkers can be described as indicators of biological age. We feel that these recommendations will help scientists and the public differentiate between aging biomarkers and the much more elusive concept of biological age.</p>","PeriodicalId":119,"journal":{"name":"Aging Cell","volume":" ","pages":"e14377"},"PeriodicalIF":8.0000,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Contextualizing aging clocks and properly describing biological age.\",\"authors\":\"Adiv A Johnson, Maxim N Shokhirev\",\"doi\":\"10.1111/acel.14377\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Usage of the phrase \\\"biological age\\\" has picked up considerably since the advent of aging clocks and it has become commonplace to describe an aging clock's output as biological age. In contrast to this labeling, biological age is also often depicted as a more abstract concept that helps explain how individuals are aging internally, externally, and functionally. Given that the bulk of molecular aging is tissue-specific and aging itself is a remarkably complex, multifarious process, it is unsurprising that most surveyed scientists agree that aging cannot be quantified via a single metric. We share this sentiment and argue that, just like it would not be reasonable to assume that an individual with an ideal grip strength, VO<sub>2</sub> max, or any other aging biomarker is biologically young, we should be careful not to conflate an aging clock with whole-body biological aging. To address this, we recommend that researchers describe the output of an aging clock based on the type of input data used or the name of the clock itself. Epigenetic aging clocks produce epigenetic age, transcriptomic aging clocks produce transcriptomic age, and so forth. If a clock has a unique name, such as our recently developed epigenetic aging clock CheekAge, the name of the clock can double as the output. As a compromise solution, aging biomarkers can be described as indicators of biological age. We feel that these recommendations will help scientists and the public differentiate between aging biomarkers and the much more elusive concept of biological age.</p>\",\"PeriodicalId\":119,\"journal\":{\"name\":\"Aging Cell\",\"volume\":\" \",\"pages\":\"e14377\"},\"PeriodicalIF\":8.0000,\"publicationDate\":\"2024-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aging Cell\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1111/acel.14377\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aging Cell","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1111/acel.14377","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

自老化钟问世以来,"生物年龄 "一词的使用率大大提高,将老化钟的输出结果描述为生物年龄已成为司空见惯的事情。与这种说法不同的是,生物年龄通常被描述为一个更抽象的概念,有助于解释个体是如何在内部、外部和功能上衰老的。鉴于大部分分子衰老是针对特定组织的,而衰老本身又是一个非常复杂、多变的过程,因此,大多数接受调查的科学家都认为衰老无法通过单一指标来量化,这一点也就不足为奇了。我们也有同感,并认为,就像认为握力、最大容氧量或任何其他衰老生物标志物达到理想水平的人在生物学上是年轻的这一假设是不合理的一样,我们也应小心谨慎,不要将衰老时钟与全身生物衰老混为一谈。为了解决这个问题,我们建议研究人员根据所使用的输入数据类型或时钟本身的名称来描述老化时钟的输出。表观遗传老化时钟产生表观遗传年龄,转录组老化时钟产生转录组年龄,以此类推。如果时钟有一个独特的名称,比如我们最近开发的表观遗传老化时钟 CheekAge,时钟的名称就可以作为输出。作为一种折中的解决方案,衰老生物标志物可以被描述为生物年龄的指标。我们认为,这些建议将有助于科学家和公众区分衰老生物标志物和更难以捉摸的生物年龄概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contextualizing aging clocks and properly describing biological age.

Usage of the phrase "biological age" has picked up considerably since the advent of aging clocks and it has become commonplace to describe an aging clock's output as biological age. In contrast to this labeling, biological age is also often depicted as a more abstract concept that helps explain how individuals are aging internally, externally, and functionally. Given that the bulk of molecular aging is tissue-specific and aging itself is a remarkably complex, multifarious process, it is unsurprising that most surveyed scientists agree that aging cannot be quantified via a single metric. We share this sentiment and argue that, just like it would not be reasonable to assume that an individual with an ideal grip strength, VO2 max, or any other aging biomarker is biologically young, we should be careful not to conflate an aging clock with whole-body biological aging. To address this, we recommend that researchers describe the output of an aging clock based on the type of input data used or the name of the clock itself. Epigenetic aging clocks produce epigenetic age, transcriptomic aging clocks produce transcriptomic age, and so forth. If a clock has a unique name, such as our recently developed epigenetic aging clock CheekAge, the name of the clock can double as the output. As a compromise solution, aging biomarkers can be described as indicators of biological age. We feel that these recommendations will help scientists and the public differentiate between aging biomarkers and the much more elusive concept of biological age.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Aging Cell
Aging Cell Biochemistry, Genetics and Molecular Biology-Cell Biology
自引率
2.60%
发文量
212
期刊介绍: Aging Cell is an Open Access journal that focuses on the core aspects of the biology of aging, encompassing the entire spectrum of geroscience. The journal's content is dedicated to publishing research that uncovers the mechanisms behind the aging process and explores the connections between aging and various age-related diseases. This journal aims to provide a comprehensive understanding of the biological underpinnings of aging and its implications for human health. The journal is widely recognized and its content is abstracted and indexed by numerous databases and services, which facilitates its accessibility and impact in the scientific community. These include: Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) Biological Science Database (ProQuest) CAS: Chemical Abstracts Service (ACS) Embase (Elsevier) InfoTrac (GALE Cengage) Ingenta Select ISI Alerting Services Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) Natural Science Collection (ProQuest) PubMed Dietary Supplement Subset (NLM) Science Citation Index Expanded (Clarivate Analytics) SciTech Premium Collection (ProQuest) Web of Science (Clarivate Analytics) Being indexed in these databases ensures that the research published in Aging Cell is discoverable by researchers, clinicians, and other professionals interested in the field of aging and its associated health issues. This broad coverage helps to disseminate the journal's findings and contributes to the advancement of knowledge in geroscience.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信