Interleukin-36γ-producing macrophages drive IL-17-mediated fibrosis.
Interleukin-36γ-producing macrophages drive IL-17-mediated fibrosis.
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DOI:
10.1126/sciimmunol.aax4783
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发表时间:
2019-10-11
影响因子:
24.8
通讯作者:
Elisseeff JH
中科院分区:
文献类型:
--
作者:
Sommerfeld SD;Cherry C;Schwab RM;Chung L;Maestas DR Jr;Laffont P;Stein JE;Tam A;Ganguly S;Housseau F;Taube JM;Pardoll DM;Cahan P;Elisseeff JH
Biomaterials induce an immune response and mobilization of macrophages, yet identification and phenotypic characterization of functional macrophage subsets in vivo remain limited. We performed single-cell RNA sequencing analysis on macrophages sorted from either a biologic matrix [urinary bladder matrix (UBM)] or synthetic biomaterial [polycaprolactone (PCL)]. Implantation of UBM promotes tissue repair through generation of a tissue environment characterized by a T helper 2 (TH2)/interleukin (IL)–4 immune profile, whereas PCL induces a standard foreign body response characterized by TH17/IL-17 and fibrosis. Unbiased clustering and pseudotime analysis revealed distinct macrophage subsets responsible for antigen presentation, chemoattraction, and phagocytosis, as well as a small population with expression profiles of both dendritic cells and skeletal muscle after UBM implantation. In the PCL tissue environment, we identified a CD9hi+IL-36γ+ macrophage subset that expressed TH17-associated molecules. These macrophages were virtually absent in mice lacking the IL-17 receptor, suggesting that they might be involved in IL-17–dependent immune and autoimmune responses. Identification and comparison of the unique phenotypical and functional macrophage subsets in mouse and human tissue samples suggest broad relevance of the new classification. These distinct macrophage subsets demonstrate previously unrecognized myeloid phenotypes involved in different tissue responses and provide targets for potential therapeutic modulation in tissue repair and pathology.
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影响因子:
16.6
作者:
MacParland SA;Liu JC;Ma XZ;Innes BT;Bartczak AM;Gage BK;Manuel J;Khuu N;Echeverri J;Linares I;Gupta R;Cheng ML;Liu LY;Camat D;Chung SW;Seliga RK;Shao Z;Lee E;Ogawa S;Ogawa M;Wilson MD;Fish JE;Selzner M;Ghanekar A;Grant D;Greig P;Sapisochin G;Selzner N;Winegarden N;Adeyi O;Keller G;Bader GD;McGilvray ID
通讯作者:
McGilvray ID
影响因子:
1.2
作者:
Khan, Muznah;Gasser, Stephan
通讯作者:
Gasser, Stephan
影响因子:
30.5
作者:
通讯作者:
--
影响因子:
48
作者:
Kiselev, Vladimir Yu;Kirschner, Kristina;Hemberg, Martin
通讯作者:
Hemberg, Martin
影响因子:
2
作者:
Zambrano-Zaragoza JF;Romo-Martínez EJ;Durán-Avelar Mde J;García-Magallanes N;Vibanco-Pérez N
通讯作者:
Vibanco-Pérez N