Inflammaging: a new immune–metabolic viewpoint for age-related diseases

老化 炎症 医学 免疫系统 免疫衰老 微生物群 串扰 免疫学 生物信息学 神经科学 生物 光学 物理 内科学
作者
Claudio Franceschi,Paolo Garagnani,Paolo Parini,Cristina Giuliani,Aurelia Santoro
出处
期刊:Nature Reviews Endocrinology [Nature Portfolio]
卷期号:14 (10): 576-590 被引量:3214
标识
DOI:10.1038/s41574-018-0059-4
摘要

Ageing and age-related diseases share some basic mechanistic pillars that largely converge on inflammation. During ageing, chronic, sterile, low-grade inflammation — called inflammaging — develops, which contributes to the pathogenesis of age-related diseases. From an evolutionary perspective, a variety of stimuli sustain inflammaging, including pathogens (non-self), endogenous cell debris and misplaced molecules (self) and nutrients and gut microbiota (quasi-self). A limited number of receptors, whose degeneracy allows them to recognize many signals and to activate the innate immune responses, sense these stimuli. In this situation, metaflammation (the metabolic inflammation accompanying metabolic diseases) is thought to be the form of chronic inflammation that is driven by nutrient excess or overnutrition; metaflammation is characterized by the same mechanisms underpinning inflammaging. The gut microbiota has a central role in both metaflammation and inflammaging owing to its ability to release inflammatory products, contribute to circadian rhythms and crosstalk with other organs and systems. We argue that chronic diseases are not only the result of ageing and inflammaging; these diseases also accelerate the ageing process and can be considered a manifestation of accelerated ageing. Finally, we propose the use of new biomarkers (DNA methylation, glycomics, metabolomics and lipidomics) that are capable of assessing biological versus chronological age in metabolic diseases. Many mechanistic processes during ageing and age-related diseases cause inflammation. In this Review, the authors discuss the relationship between the immune and metabolic systems during ageing and age-related diseases and the potential use of new biomarkers capable of distinguishing between biological and chronological age in metabolic diseases.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
又见风哥发布了新的文献求助10
1秒前
所所应助星空采纳,获得10
1秒前
Sea_U发布了新的文献求助10
1秒前
Grand发布了新的文献求助10
2秒前
空城旧梦完成签到 ,获得积分10
2秒前
2秒前
2秒前
王王王完成签到,获得积分10
2秒前
知性的初翠完成签到,获得积分10
3秒前
3秒前
Sparks完成签到,获得积分10
3秒前
stan完成签到,获得积分10
3秒前
吉吉完成签到,获得积分10
4秒前
土豆泥发布了新的文献求助10
5秒前
林夕夕完成签到,获得积分10
5秒前
傻傻的夜柳完成签到 ,获得积分10
6秒前
6秒前
7秒前
震动的听安完成签到,获得积分10
7秒前
7秒前
完美世界应助hhh涵采纳,获得30
7秒前
田様应助越来越好采纳,获得10
7秒前
蓝天发布了新的文献求助10
8秒前
无情的翠果完成签到,获得积分10
8秒前
王王王发布了新的文献求助10
8秒前
思源应助skywet采纳,获得10
8秒前
领导范儿应助褪色采纳,获得10
9秒前
吴朋权发布了新的文献求助30
9秒前
10秒前
我没有名字完成签到,获得积分10
10秒前
言午驳回了wanci应助
10秒前
lwg完成签到,获得积分10
10秒前
11秒前
科研通AI6.1应助福风采纳,获得10
11秒前
asdf完成签到,获得积分10
11秒前
11秒前
111完成签到,获得积分10
12秒前
南浔发布了新的文献求助10
12秒前
kaele完成签到,获得积分10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6519335
求助须知:如何正确求助?哪些是违规求助? 8312146
关于积分的说明 17773593
捐赠科研通 5621378
什么是DOI,文献DOI怎么找? 2926704
邀请新用户注册赠送积分活动 1903542
关于科研通互助平台的介绍 1764206