Toll-Like Receptors Induce Signal-Specific Reprogramming of the Macrophage Lipidome.
Toll-Like Receptors Induce Signal-Specific Reprogramming of the Macrophage Lipidome.
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DOI:
10.1016/j.cmet.2020.05.003
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发表时间:
2020-07-07
期刊:
影响因子:
29
通讯作者:
Bensinger SJ
中科院分区:
文献类型:
--
作者:
Hsieh WY;Zhou QD;York AG;Williams KJ;Scumpia PO;Kronenberger EB;Hoi XP;Su B;Chi X;Bui VL;Khialeeva E;Kaplan A;Son YM;Divakaruni AS;Sun J;Smale ST;Flavell RA;Bensinger SJ
Macrophages reprogram their lipid metabolism in response to activation signals. However, a systems-level understanding of how different pro-inflammatory stimuli reshape the macrophage lipidome is lacking. Here, we use complementary “shotgun” and isotope tracer mass spectrometry approaches to define the changes in lipid biosynthesis, import, and composition of macrophages induced by various Toll-like receptors (TLRs) and inflammatory cytokines. “Shotgun” lipidomics data revealed that different TLRs and cytokines induce macrophages to acquire distinct lipidomes, indicating their specificity in reshaping lipid composition. Mechanistic studies showed that differential reprogramming of lipid composition is mediated by the opposing effects of MyD88- and TRIF-interferon-signaling pathways. Finally, we applied these insights to show that perturbing reprogramming of lipid composition can enhance inflammation and promote host defense to bacterial challenge. These studies provide a framework for understanding how inflammatory stimuli reprogram lipid composition of macrophages while providing a knowledge platform to exploit differential lipidomics to influence immunity. Using a combination of shotgun lipidomics and stable-isotope tracing, Hsieh et al. show that distinct pro-inflammatory stimuli reshape the macrophage lipid composition in a signal-specific manner and that targeting this change can increase immunity. Thus, the study provides an in-depth resource and framework for understanding this lipidomic response while suggesting approaches for future therapy.
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影响因子:
32.4
作者:
Blanc M;Hsieh WY;Robertson KA;Kropp KA;Forster T;Shui G;Lacaze P;Watterson S;Griffiths SJ;Spann NJ;Meljon A;Talbot S;Krishnan K;Covey DF;Wenk MR;Craigon M;Ruzsics Z;Haas J;Angulo A;Griffiths WJ;Glass CK;Wang Y;Ghazal P
通讯作者:
Ghazal P
DOI:
10.1074/jbc.ra118.001921
发表时间:
2018-04-13
期刊:
The Journal of biological chemistry
影响因子:
--
作者:
Carroll RG;Zasłona Z;Galván-Peña S;Koppe EL;Sévin DC;Angiari S;Triantafilou M;Triantafilou K;Modis LK;O'Neill LA
通讯作者:
O'Neill LA
DOI:
10.1007/978-1-4939-9236-2_14
发表时间:
2019-01-01
期刊:
HIGH-THROUGHPUT METABOLOMICS: METHODS AND PROTOCOLS
影响因子:
--
作者:
Cordes, Thekla;Metallo, Christian M.
通讯作者:
Metallo, Christian M.
影响因子:
64.5
作者:
Barnett, Katherine C.;Coronas-Serna, Julia M.;Kagan, Jonathan C.
通讯作者:
Kagan, Jonathan C.
影响因子:
30.5
作者:
Giannakis, Nikolas;Sansbury, Brian E.;Nagy, Laszlo
通讯作者:
Nagy, Laszlo