炎症
重新调整用途
医学
人体皮肤
药理学
癌症研究
免疫学
生物
生态学
遗传学
作者
M.C.G. Winge,Mazen Nasrallah,Leandra V. Jackrazi,Konnie Guo,Jessica Fuhriman,Rebecca Szafran,Muthukumar Ramanathan,Irina Gurevich,Ngon T. Nguyen,Zurab Siprashvili,Mohammed Inayathullah,Jayakumar Rajadas,Douglas F. Porter,Paul A. Khavari,Atul J. Butte,M. Peter Marinkovich
出处
期刊:Science Translational Medicine
[American Association for the Advancement of Science (AAAS)]
日期:2024-12-11
卷期号:16 (777)
标识
DOI:10.1126/scitranslmed.ade5915
摘要
Inflammatory skin disease is characterized by a pathologic interplay between skin cells and immunocytes and can result in disfiguring cutaneous lesions and systemic inflammation. Immunosuppression is commonly used to target the inflammatory component; however, these drugs are often expensive and associated with side effects. To identify previously unidentified targets, we carried out a nonbiased informatics screen to identify drug compounds with an inverse transcriptional signature to keratinocyte inflammatory signals. Using psoriasis, a prototypic inflammatory skin disease, as a model, we used pharmacologic, transcriptomic, and proteomic characterization to find that benzamil, the benzyl derivative of the US Food and Drug Administration-approved diuretic amiloride, effectively reversed keratinocyte-driven inflammatory signaling. Through three independent mouse models of skin inflammation (Rac1
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