Palstrøm Nicolai Bjødstrup, Nielsen Kristian Boje, Campbell Amanda Jessica, Soerensen Mette, Rasmussen Lars Melholt, Lindholt Jes Sanddal, Beck Hans Christian
Center for Clinical Proteomics, Odense University Hospital, 5000 Odense, Denmark.
Department of Clinical Biochemistry, Odense University Hospital, 5000 Odense, Denmark.
Proteomes. 2024 Dec 9;12(4):37. doi: 10.3390/proteomes12040037.
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.
腹主动脉瘤(AAA)是一种危及生命的疾病,其特征是腹主动脉壁变薄和扩张。针对这种疾病提出的诊断生物标志物很少。我们对45例AAA患者和45例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的变化和潜在的诊断生物标志物。基因本体分析显示,AAA患者中参与炎症、凝血和细胞外基质的蛋白质显著上调,而与血管生成相关的蛋白质则下调。使用递归特征消除法,我们鉴定出10种显著调节的蛋白质子集,这些蛋白质对AAA具有高度预测性。使用交叉验证,基于这些蛋白质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行进一步验证以证实这些结果。