Endogenous oxidized phospholipids reprogram cellular metabolism and boost hyperinflammation

脂多糖 细胞生物学 糖酵解 生物 炎症 内生 促炎细胞因子 新陈代谢 巨噬细胞 基因表达 化学 生物化学 免疫学 基因 体外
作者
Marco Di Gioia,Roberto Spreafico,James R. Springstead,Michael Mendelson,Roby Joehanes,Daniel Levy,Ivan Zanoni
出处
期刊:Nature Immunology [Nature Portfolio]
卷期号:21 (1): 42-53 被引量:139
标识
DOI:10.1038/s41590-019-0539-2
摘要

Pathogen-associated molecular patterns (PAMPs) have the capacity to couple inflammatory gene expression to changes in macrophage metabolism, both of which influence subsequent inflammatory activities. Similar to their microbial counterparts, several self-encoded damage-associated molecular patterns (DAMPs) induce inflammatory gene expression. However, whether this symmetry in host responses between PAMPs and DAMPs extends to metabolic shifts is unclear. Here, we report that the self-encoded oxidized phospholipid oxPAPC alters the metabolism of macrophages exposed to lipopolysaccharide. While cells activated by lipopolysaccharide rely exclusively on glycolysis, macrophages exposed to oxPAPC also use mitochondrial respiration, feed the Krebs cycle with glutamine, and favor the accumulation of oxaloacetate in the cytoplasm. This metabolite potentiates interleukin-1β production, resulting in hyperinflammation. Similar metabolic adaptions occur in vivo in hypercholesterolemic mice and human subjects. Drugs that interfere with oxPAPC-driven metabolic changes reduce atherosclerotic plaque formation in mice, thereby underscoring the importance of DAMP-mediated activities in pathophysiological conditions. Oxidized host-derived phospholipids such as oxPAPC can play important roles in atherosclerosis. Zanoni and colleagues demonstrate that oxPAPC generates a distinctive metabolic and hyperinflammatory profile in macrophages that can drive atherosclerosis in mice.
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
FashionBoy应助sadascaqwqw采纳,获得10
刚刚
无花果应助Watsun采纳,获得10
1秒前
2秒前
苹果亦巧完成签到,获得积分10
3秒前
lvoov发布了新的文献求助10
5秒前
17发布了新的文献求助20
5秒前
6秒前
无极微光应助zzy采纳,获得20
7秒前
苹果亦巧发布了新的文献求助10
7秒前
天玄一刀完成签到,获得积分10
7秒前
斯文败类应助脆皮小小酥采纳,获得10
8秒前
Boerghin完成签到 ,获得积分10
9秒前
无恙完成签到 ,获得积分10
9秒前
喵喵完成签到,获得积分10
11秒前
GGBOND完成签到,获得积分10
12秒前
小马甲应助蓝荆采纳,获得10
12秒前
小红完成签到,获得积分10
14秒前
14秒前
fatcatty发布了新的文献求助30
16秒前
ding应助冷冷采纳,获得10
16秒前
迷路的夏之完成签到,获得积分10
17秒前
17秒前
Qing完成签到,获得积分10
17秒前
研友_8Y2DXL完成签到,获得积分10
19秒前
星许完成签到 ,获得积分10
21秒前
21秒前
22秒前
23秒前
敏感的紫萱关注了科研通微信公众号
23秒前
kayla7891应助风中的天空采纳,获得10
24秒前
Dongsy发布了新的文献求助10
24秒前
Jan完成签到,获得积分10
24秒前
籽籽发布了新的文献求助10
25秒前
科研通AI2S应助跳跃靖采纳,获得20
26秒前
avoidant完成签到,获得积分10
26秒前
YA发布了新的文献求助10
27秒前
27秒前
蓝荆发布了新的文献求助10
27秒前
27秒前
28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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
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 6363290
求助须知:如何正确求助?哪些是违规求助? 8177191
关于积分的说明 17231984
捐赠科研通 5418386
什么是DOI,文献DOI怎么找? 2867035
邀请新用户注册赠送积分活动 1844285
关于科研通互助平台的介绍 1691794