Beneficial effects of quinoline-3-carboxamide (ABR-215757) on atherosclerotic plaque morphology in S100A12 transgenic ApoE null mice.
Beneficial effects of quinoline-3-carboxamide (ABR-215757) on atherosclerotic plaque morphology in S100A12 transgenic ApoE null mice.
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DOI:
10.1016/j.atherosclerosis.2013.02.023
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发表时间:
2013-05
期刊:
影响因子:
5.3
通讯作者:
Bowman, Marion A. Hofmann
中科院分区:
文献类型:
--
作者:
Yan, Ling;Bjork, Per;Butuc, Radu;Gawdzik, Joseph;Earley, Judy;Kim, Gene;Bowman, Marion A. Hofmann
There is an emerging widespread interest in the role of damage-associated molecular pattern molecules (DAMP) S100A8, S100A9 and S100A12 in cardiovascular and other diseases. In this study we tested the efficacy of ABR-215757, a S100 protein binding immuno-modulatory compound to stabilize atherosclerosis in transgenic ApoE null mice that express the human pro-inflammatory S100A12 protein within the smooth muscle cell (SM22α-S100A12). Twelve-week old S100A12 transgenic/ApoE-/- and WT/ApoE-/- mice were treated with ABR-21575 for 5 weeks and were analyzed 4 month later. Surface plasmon resonance analysis demonstrated that S100A12 interacts with ABR-215757 in a zinc dependent manner in vitro. In vivo, ABR-215757 administration reduced features of advanced plaque morphology resulting in smaller necrotic cores, diminished intimal and medial vascular calcification, and reduced amount of infiltrating inflammatory cells. ABR-215757 normalized aortic expression of RAGE protein and normalized experimentally-induced delayed hypersensitivity. The effect of ABR-215757 was more prominent in ApoE-/- mice expressing S100A12 than in ApoE-/- animals lacking expression of human S100A12 protein. Our data suggest that S100A12 is important for progression of atherosclerosis and can be targeted by the small molecule ABR-215757. The specific binding of quinoline-3-carboxamides to S100A12 attenuates S100A12-mediated features of accelerated murine atherosclerosis.
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影响因子:
20.1
作者:
Hofmann Bowman M;Wilk J;Heydemann A;Kim G;Rehman J;Lodato JA;Raman J;McNally EM
通讯作者:
McNally EM
影响因子:
39.2
作者:
Rosenberg S;Elashoff MR;Beineke P;Daniels SE;Wingrove JA;Tingley WG;Sager PT;Sehnert AJ;Yau M;Kraus WE;Newby LK;Schwartz RS;Voros S;Ellis SG;Tahirkheli N;Waksman R;McPherson J;Lansky A;Winn ME;Schork NJ;Topol EJ;PREDICT (Personalized Risk Evaluation and Diagnosis in the Coronary Tree) Investigators
通讯作者:
PREDICT (Personalized Risk Evaluation and Diagnosis in the Coronary Tree) Investigators
影响因子:
37.8
作者:
Croce K;Gao H;Wang Y;Mooroka T;Sakuma M;Shi C;Sukhova GK;Packard RR;Hogg N;Libby P;Simon DI
通讯作者:
Simon DI
影响因子:
5.6
作者:
Carlsten, H;Jonsson, C;Tarkowski, A
通讯作者:
Tarkowski, A
影响因子:
3.9
作者:
Soyfoo, Muhammad S.;Roth, Johannes;Decaux, Guy
通讯作者:
Decaux, Guy