Affinity-Enriched Plasma Proteomics for Biomarker Discovery in Abdominal Aortic Aneurysms.

IF 4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Nicolai Bjødstrup Palstrøm, Kristian Boje Nielsen, Amanda Jessica Campbell, Mette Soerensen, Lars Melholt Rasmussen, Jes Sanddal Lindholt, Hans Christian Beck
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引用次数: 0

Abstract

Abdominal aortic aneurysm (AAA) is a life-threatening condition characterized by the weakening and dilation of the abdominal aorta. Few diagnostic biomarkers have been proposed for this condition. We performed mass spectrometry-based proteomics analysis of affinity-enriched plasma from 45 patients with AAA and 45 matched controls to identify changes to the plasma proteome and potential diagnostic biomarkers. Gene ontology analysis revealed a significant upregulation of the proteins involved in inflammation, coagulation, and extracellular matrix in AAA patients, while proteins related to angiogenesis were among those downregulated. Using recursive feature elimination, we identified a subset of 10 significantly regulated proteins that were highly predictive of AAA. A random forest classifier trained on these proteins achieved an area under the curve (AUC) of 0.93 [95% CI: 0.91-0.95] using cross-validation. Further validation in a larger cohort is necessary to confirm these results.

利用亲和富集血浆蛋白质组学发现腹主动脉瘤的生物标志物。
腹主动脉瘤(AAA)是一种危及生命的疾病,其特征是腹主动脉的减弱和扩张。很少有诊断性生物标志物被提出用于这种情况。我们对45名AAA患者和45名匹配对照的亲和富集血浆进行了基于质谱的蛋白质组学分析,以确定血浆蛋白质组学和潜在诊断生物标志物的变化。基因本体论分析显示,AAA患者炎症、凝血和细胞外基质相关蛋白显著上调,而血管生成相关蛋白下调。使用递归特征消除,我们确定了10个显著调节的蛋白质子集,这些蛋白质高度预测AAA。通过交叉验证,对这些蛋白质进行训练的随机森林分类器的曲线下面积(AUC)为0.93 [95% CI: 0.91-0.95]。需要在更大的队列中进一步验证以证实这些结果。
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来源期刊
Proteomes
Proteomes Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
6.50
自引率
3.00%
发文量
37
审稿时长
11 weeks
期刊介绍: Proteomes (ISSN 2227-7382) is an open access, peer reviewed journal on all aspects of proteome science. Proteomes covers the multi-disciplinary topics of structural and functional biology, protein chemistry, cell biology, methodology used for protein analysis, including mass spectrometry, protein arrays, bioinformatics, HTS assays, etc. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of papers. Scope: -whole proteome analysis of any organism -disease/pharmaceutical studies -comparative proteomics -protein-ligand/protein interactions -structure/functional proteomics -gene expression -methodology -bioinformatics -applications of proteomics
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