Department of Chemistry , University of Nebraska-Lincoln , Lincoln , Nebraska 68588 , United States.
Department of Biochemistry , University of Nebraska-Lincoln , Lincoln , Nebraska 68588 , United States.
Biochemistry. 2019 Sep 17;58(37):3911-3917. doi: 10.1021/acs.biochem.9b00547. Epub 2019 Aug 29.
The worldwide incidence of fatty liver disease continues to rise, which may account for concurrent increases in the frequencies of more aggressive liver ailments. Given the existence of histologically identical fatty liver disease subtypes, there is a critical need for the identification of methods that can classify disease and potentially predict progression. Herein, we show that a panel of protein kinase chemosensors can distinguish fatty liver disease subtypes. These direct activity measurements highlight distinct differences between histologically identical fatty liver diseases arising from diets rich in fat versus alcohol and identify a previously unreported decrease in p38α activity associated with a high-fat diet. In addition, we have profiled kinase activities in both benign (diet-induced) and progressive (STAM) disease models. These experiments provide temporal insights into kinase activity during disease development and progression. Altogether, this work provides the basis for the future development of clinical diagnostics and potential treatment strategies.
全球范围内的脂肪肝疾病发病率持续上升,这可能导致更具侵袭性的肝脏疾病的发病率也相应增加。鉴于存在组织学上相同的脂肪肝疾病亚型,因此迫切需要确定能够对疾病进行分类并有可能预测其进展的方法。在此,我们展示了一组蛋白激酶化学传感器可用于区分脂肪肝疾病亚型。这些直接活性测量突出了源于富含脂肪和酒精的饮食的组织学上相同的脂肪肝疾病之间的明显差异,并确定了与高脂肪饮食相关的先前未报道的 p38α 活性降低。此外,我们还对良性(饮食诱导)和进行性(STAM)疾病模型中的激酶活性进行了分析。这些实验为疾病发展和进展过程中的激酶活性提供了时间上的深入了解。总之,这项工作为未来开发临床诊断和潜在治疗策略奠定了基础。