Suarez-Lopez Lucia, Shui Bing, Brubaker Douglas K, Hill Marza, Bergendorf Alexander, Changelian Paul S, Laguna Aisha, Starchenko Alina, Lauffenburger Douglas A, Haigis Kevin M
Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA.
Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.
iScience. 2021 Nov 7;24(12):103406. doi: 10.1016/j.isci.2021.103406. eCollection 2021 Dec 17.
Inflammatory bowel diseases (IBDs) are genetically complex and exhibit significant inter-patient heterogeneity in disease presentation and therapeutic response. Here, we show that mouse models of IBD exhibit variable responses to inhibition of MK2, a pro-inflammatory serine/threonine kinase, and that MK2 inhibition suppresses inflammation by targeting inflammatory monocytes and neutrophils in murine models. Using a computational approach (TransComp-R) that allows for cross-species comparison of transcriptomic features, we identified an IBD patient subgroup that is predicted to respond to MK2 inhibition, and an independent preclinical model of chronic intestinal inflammation predicted to be non-responsive, which we validated experimentally. Thus, cross-species mouse-human translation approaches can help to identify patient subpopulations in which to deploy new therapies.
炎症性肠病(IBDs)具有遗传复杂性,在疾病表现和治疗反应方面存在显著的患者间异质性。在此,我们表明IBD小鼠模型对促炎性丝氨酸/苏氨酸激酶MK2的抑制表现出可变反应,并且MK2抑制通过靶向小鼠模型中的炎性单核细胞和中性粒细胞来抑制炎症。使用一种允许对转录组特征进行跨物种比较的计算方法(TransComp-R),我们鉴定出一个预计对MK2抑制有反应的IBD患者亚组,以及一个预计无反应的慢性肠道炎症独立临床前模型,我们通过实验对其进行了验证。因此,跨物种小鼠-人类翻译方法有助于识别可应用新疗法的患者亚群。