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.
Affinity-Enriched Plasma Proteomics for Biomarker Discovery in Abdominal Aortic Aneurysms.
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作者:Palstrøm Nicolai Bjødstrup, Nielsen Kristian Boje, Campbell Amanda Jessica, Soerensen Mette, Rasmussen Lars Melholt, Lindholt Jes Sanddal, Beck Hans Christian
| 期刊: | Proteomes | 影响因子: | 3.600 |
| 时间: | 2024 | 起止号: | 2024 Dec 9; 12(4):37 |
| doi: | 10.3390/proteomes12040037 | ||
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