对代谢干扰物关键特征的共识

IF 31 1区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Michele A. La Merrill, Martyn T. Smith, Cliona M. McHale, Jerrold J. Heindel, Ella Atlas, Matthew C. Cave, David Collier, Kathryn Z. Guyton, Suneil Koliwad, Angel Nadal, Christopher J. Rhodes, Robert M. Sargis, Lauren Zeise, Bruce Blumberg
{"title":"对代谢干扰物关键特征的共识","authors":"Michele A. La Merrill, Martyn T. Smith, Cliona M. McHale, Jerrold J. Heindel, Ella Atlas, Matthew C. Cave, David Collier, Kathryn Z. Guyton, Suneil Koliwad, Angel Nadal, Christopher J. Rhodes, Robert M. Sargis, Lauren Zeise, Bruce Blumberg","doi":"10.1038/s41574-024-01059-8","DOIUrl":null,"url":null,"abstract":"<p>Metabolism-disrupting agents (MDAs) are chemical, infectious or physical agents that increase the risk of metabolic disorders. Examples include pharmaceuticals, such as antidepressants, and environmental agents, such as bisphenol A. Various types of studies can provide evidence to identify MDAs, yet a systematic method is needed to integrate these data to help to identify such hazards. Inspired by work to improve hazard identification of carcinogens using key characteristics (KCs), we developed 12 KCs of MDAs based on our knowledge of processes underlying metabolic diseases and the effects of their causal agents: (1) alters function of the endocrine pancreas; (2) impairs function of adipose tissue; (3) alters nervous system control of metabolic function; (4) promotes insulin resistance; (5) disrupts metabolic signalling pathways; (6) alters development and fate of metabolic cell types; (7) alters energy homeostasis; (8) causes inappropriate nutrient handling and partitioning; (9) promotes chronic inflammation and immune dysregulation in metabolic tissues; (10) disrupts gastrointestinal tract function; (11) induces cellular stress pathways; and (12) disrupts circadian rhythms. In this Consensus Statement, we present the logic that revealed the KCs of MDAs and highlight evidence that supports the identification of KCs. We use chemical, infectious and physical agents as examples to illustrate how the KCs can be used to organize and use mechanistic data to help to identify MDAs.</p>","PeriodicalId":18916,"journal":{"name":"Nature Reviews Endocrinology","volume":"6 1","pages":""},"PeriodicalIF":31.0000,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Consensus on the key characteristics of metabolism disruptors\",\"authors\":\"Michele A. La Merrill, Martyn T. Smith, Cliona M. McHale, Jerrold J. Heindel, Ella Atlas, Matthew C. Cave, David Collier, Kathryn Z. Guyton, Suneil Koliwad, Angel Nadal, Christopher J. Rhodes, Robert M. Sargis, Lauren Zeise, Bruce Blumberg\",\"doi\":\"10.1038/s41574-024-01059-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Metabolism-disrupting agents (MDAs) are chemical, infectious or physical agents that increase the risk of metabolic disorders. Examples include pharmaceuticals, such as antidepressants, and environmental agents, such as bisphenol A. Various types of studies can provide evidence to identify MDAs, yet a systematic method is needed to integrate these data to help to identify such hazards. Inspired by work to improve hazard identification of carcinogens using key characteristics (KCs), we developed 12 KCs of MDAs based on our knowledge of processes underlying metabolic diseases and the effects of their causal agents: (1) alters function of the endocrine pancreas; (2) impairs function of adipose tissue; (3) alters nervous system control of metabolic function; (4) promotes insulin resistance; (5) disrupts metabolic signalling pathways; (6) alters development and fate of metabolic cell types; (7) alters energy homeostasis; (8) causes inappropriate nutrient handling and partitioning; (9) promotes chronic inflammation and immune dysregulation in metabolic tissues; (10) disrupts gastrointestinal tract function; (11) induces cellular stress pathways; and (12) disrupts circadian rhythms. In this Consensus Statement, we present the logic that revealed the KCs of MDAs and highlight evidence that supports the identification of KCs. We use chemical, infectious and physical agents as examples to illustrate how the KCs can be used to organize and use mechanistic data to help to identify MDAs.</p>\",\"PeriodicalId\":18916,\"journal\":{\"name\":\"Nature Reviews Endocrinology\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":31.0000,\"publicationDate\":\"2024-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Reviews Endocrinology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41574-024-01059-8\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Endocrinology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41574-024-01059-8","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

摘要

代谢干扰剂(MDAs)是增加代谢紊乱风险的化学、感染性或物理制剂。例子包括药物,如抗抑郁药和环境制剂,如双酚a。各种类型的研究可以提供证据来识别mda,但需要一种系统的方法来整合这些数据,以帮助识别此类危害。受利用关键特征(KCs)改进致癌物危害识别工作的启发,我们基于我们对代谢性疾病及其致病因子影响的过程的了解,开发了MDAs的12个关键特征:(1)改变内分泌胰腺的功能;(2)损害脂肪组织功能;(3)改变神经系统代谢功能的控制;(4)促进胰岛素抵抗;(5)破坏代谢信号通路;(6)改变代谢细胞类型的发育和命运;(7)改变能量稳态;(8)造成养分处理和分配不当;(9)促进代谢组织的慢性炎症和免疫失调;(10)扰乱胃肠道功能;(11)诱导细胞应激途径;(12)扰乱昼夜节律。在这个共识声明中,我们提出了揭示mda的KCs的逻辑,并强调了支持KCs识别的证据。我们以化学、传染和物理因子为例,说明如何使用KCs来组织和使用机制数据来帮助识别mda。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Consensus on the key characteristics of metabolism disruptors

Consensus on the key characteristics of metabolism disruptors

Metabolism-disrupting agents (MDAs) are chemical, infectious or physical agents that increase the risk of metabolic disorders. Examples include pharmaceuticals, such as antidepressants, and environmental agents, such as bisphenol A. Various types of studies can provide evidence to identify MDAs, yet a systematic method is needed to integrate these data to help to identify such hazards. Inspired by work to improve hazard identification of carcinogens using key characteristics (KCs), we developed 12 KCs of MDAs based on our knowledge of processes underlying metabolic diseases and the effects of their causal agents: (1) alters function of the endocrine pancreas; (2) impairs function of adipose tissue; (3) alters nervous system control of metabolic function; (4) promotes insulin resistance; (5) disrupts metabolic signalling pathways; (6) alters development and fate of metabolic cell types; (7) alters energy homeostasis; (8) causes inappropriate nutrient handling and partitioning; (9) promotes chronic inflammation and immune dysregulation in metabolic tissues; (10) disrupts gastrointestinal tract function; (11) induces cellular stress pathways; and (12) disrupts circadian rhythms. In this Consensus Statement, we present the logic that revealed the KCs of MDAs and highlight evidence that supports the identification of KCs. We use chemical, infectious and physical agents as examples to illustrate how the KCs can be used to organize and use mechanistic data to help to identify MDAs.

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
Nature Reviews Endocrinology
Nature Reviews Endocrinology 医学-内分泌学与代谢
CiteScore
42.00
自引率
0.70%
发文量
158
审稿时长
6-12 weeks
期刊介绍: Nature Reviews Endocrinology aspires to be the foremost platform for reviews and commentaries catering to the scientific communities it serves. The journal aims to publish articles characterized by authority, accessibility, and clarity, enhanced with easily understandable figures, tables, and other visual aids. The goal is to offer an unparalleled service to authors, referees, and readers, striving to maximize the usefulness and impact of each article. Nature Reviews Endocrinology publishes Research Highlights, Comments, News & Views, Reviews, Consensus Statements, and Perspectives relevant to researchers and clinicians in the fields of endocrinology and metabolism. Its broad scope ensures that the work it publishes reaches the widest possible audience.
×
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