Langley Sarah R, Willeit Karin, Didangelos Athanasios, Matic Ljubica Perisic, Skroblin Philipp, Barallobre-Barreiro Javier, Lengquist Mariette, Rungger Gregor, Kapustin Alexander, Kedenko Ludmilla, Molenaar Chris, Lu Ruifang, Barwari Temo, Suna Gonca, Yin Xiaoke, Iglseder Bernhard, Paulweber Bernhard, Willeit Peter, Shalhoub Joseph, Pasterkamp Gerard, Davies Alun H, Monaco Claudia, Hedin Ulf, Shanahan Catherine M, Willeit Johann, Kiechl Stefan, Mayr Manuel
J Clin Invest. 2017 Apr 3;127(4):1546-1560. doi: 10.1172/JCI86924. Epub 2017 Mar 20.
The identification of patients with high-risk atherosclerotic plaques prior to the manifestation of clinical events remains challenging. Recent findings question histology- and imaging-based definitions of the "vulnerable plaque," necessitating an improved approach for predicting onset of symptoms.
We performed a proteomics comparison of the vascular extracellular matrix and associated molecules in human carotid endarterectomy specimens from 6 symptomatic versus 6 asymptomatic patients to identify a protein signature for high-risk atherosclerotic plaques. Proteomics data were integrated with gene expression profiling of 121 carotid endarterectomies and an analysis of protein secretion by lipid-loaded human vascular smooth muscle cells. Finally, epidemiological validation of candidate biomarkers was performed in two community-based studies.
Proteomics and at least one of the other two approaches identified a molecular signature of plaques from symptomatic patients that comprised matrix metalloproteinase 9, chitinase 3-like-1, S100 calcium binding protein A8 (S100A8), S100A9, cathepsin B, fibronectin, and galectin-3-binding protein. Biomarker candidates measured in 685 subjects in the Bruneck study were associated with progression to advanced atherosclerosis and incidence of cardiovascular disease over a 10-year follow-up period. A 4-biomarker signature (matrix metalloproteinase 9, S100A8/S100A9, cathepsin D, and galectin-3-binding protein) improved risk prediction and was successfully replicated in an independent cohort, the SAPHIR study.
The identified 4-biomarker signature may improve risk prediction and diagnostics for the management of cardiovascular disease. Further, our study highlights the strength of tissue-based proteomics for biomarker discovery.
UK: British Heart Foundation (BHF); King's BHF Center; and the National Institute for Health Research Biomedical Research Center based at Guy's and St Thomas' NHS Foundation Trust and King's College London in partnership with King's College Hospital. Austria: Federal Ministry for Transport, Innovation and Technology (BMVIT); Federal Ministry of Science, Research and Economy (BMWFW); Wirtschaftsagentur Wien; and Standortagentur Tirol.
在临床事件发生之前识别具有高危动脉粥样硬化斑块的患者仍然具有挑战性。最近的研究结果对基于组织学和影像学的“易损斑块”定义提出了质疑,因此需要一种改进的方法来预测症状的发作。
我们对6例有症状患者和6例无症状患者的人类颈动脉内膜切除术标本中的血管细胞外基质及相关分子进行了蛋白质组学比较,以确定高危动脉粥样硬化斑块的蛋白质特征。蛋白质组学数据与121例颈动脉内膜切除术的基因表达谱以及脂质负载的人血管平滑肌细胞的蛋白质分泌分析相结合。最后,在两项基于社区的研究中对候选生物标志物进行了流行病学验证。
蛋白质组学以及其他两种方法中的至少一种方法确定了有症状患者斑块的分子特征,包括基质金属蛋白酶9、几丁质酶3样-1、S100钙结合蛋白A8(S100A8)、S100A9、组织蛋白酶B、纤连蛋白和半乳糖凝集素-3结合蛋白。在布伦内克研究中对685名受试者测量的候选生物标志物与10年随访期内进展为晚期动脉粥样硬化和心血管疾病的发生率相关。一种由4种生物标志物组成的特征(基质金属蛋白酶9、S100A8/S100A9、组织蛋白酶D和半乳糖凝集素-3结合蛋白)改善了风险预测,并在独立队列萨菲尔研究中成功得到验证。
所确定的由4种生物标志物组成的特征可能会改善心血管疾病管理的风险预测和诊断。此外,我们的研究突出了基于组织的蛋白质组学在发现生物标志物方面的优势。
英国:英国心脏基金会(BHF);国王BHF中心;以及基于盖伊和圣托马斯国民保健服务信托基金以及伦敦国王学院与国王学院医院合作的国家卫生研究院生物医学研究中心。奥地利:联邦交通、创新和技术部(BMVIT);联邦科学、研究和经济部(BMWFW);维也纳经济促进局;以及蒂罗尔州立地区促进局。