Clinic for Internal Diseases, Faculty of Veterinary Medicine, University of Zagreb, Croatia.
Department of Clinical Veterinary Medicine, Vetsuisse Faculty, University of Bern, Switzerland.
J Proteomics. 2018 May 15;179:110-121. doi: 10.1016/j.jprot.2018.03.007. Epub 2018 Mar 9.
Idiopathic dilated cardiomyopathy (iDCM) is a primary myocardial disorder with an unknown aetiology, characterized by reduced contractility and ventricular dilation of the left or both ventricles. Naturally occurring canine iDCM was used herein to identify serum proteomic signature of the disease compared to the healthy state, providing an insight into underlying mechanisms and revealing proteins with biomarker potential. To achieve this, we used high-throughput label-based quantitative LC-MS/MS proteomics approach and bioinformatics analysis of the in silico inferred interactome protein network created from the initial list of differential proteins. To complement the proteomic analysis, serum biochemical parameters and levels of know biomarkers of cardiac function were measured. Several proteins with biomarker potential were identified, such as inter-alpha-trypsin inhibitor heavy chain H4, microfibril-associated glycoprotein 4 and apolipoprotein A-IV, which were validated using an independent method (Western blotting) and showed high specificity and sensitivity according to the receiver operating characteristic curve analysis. Bioinformatics analysis revealed involvement of different pathways in iDCM, such as complement cascade activation, lipoprotein particles dynamics, elastic fibre formation, GPCR signalling and respiratory electron transport chain.
Idiopathic dilated cardiomyopathy is a severe primary myocardial disease of unknown cause, affecting both humans and dogs. This study is a contribution to the canine heart disease research by means of proteomic and bioinformatic state of the art analyses, following similar approach in human iDCM research. Importantly, we used serum as non-invasive and easily accessible biological source of information and contributed to the scarce data on biofluid proteome research on this topic. Bioinformatics analysis revealed biological pathways modulated in canine iDCM with potential of further targeted research. Also, several proteins with biomarker potential have been identified and successfully validated.
特发性扩张型心肌病(iDCM)是一种病因不明的原发性心肌疾病,其特征为左心室或左右心室收缩力降低和心室扩张。本研究使用自发性犬 iDCM 来比较疾病与健康状态下的血清蛋白质组学特征,从而深入了解潜在机制并揭示具有潜在生物标志物的蛋白质。为此,我们使用了基于高通量标签的定量 LC-MS/MS 蛋白质组学方法,并对从初始差异蛋白质列表推断出的相互作用蛋白质网络进行了生物信息学分析。为了补充蛋白质组学分析,我们测量了血清生化参数和已知心脏功能生物标志物的水平。确定了几种具有潜在生物标志物的蛋白质,如α-胰蛋白酶抑制剂重链 H4、微纤维相关糖蛋白 4 和载脂蛋白 A-IV,并用独立方法(Western 印迹)进行了验证,并根据接收者操作特征曲线分析显示出高特异性和敏感性。生物信息学分析表明,iDCM 涉及不同的途径,如补体级联激活、脂蛋白颗粒动力学、弹性纤维形成、GPCR 信号转导和呼吸电子传递链。
特发性扩张型心肌病是一种严重的原发性心肌疾病,病因不明,影响人类和犬类。本研究通过蛋白质组学和生物信息学的最新分析,为犬心脏病研究做出了贡献,其方法与人类 iDCM 研究相似。重要的是,我们使用血清作为非侵入性和易于获取的生物信息源,并对该主题的生物流体蛋白质组研究的稀缺数据做出了贡献。生物信息学分析揭示了犬 iDCM 中调节的生物学途径,具有进一步进行靶向研究的潜力。此外,还鉴定出了几种具有潜在生物标志物的蛋白质,并成功进行了验证。