التفاصيل البيبلوغرافية
العنوان: |
Acute, Chronic, and Treated Aortic Diseases Present Distinguishable Serum Proteome Fingerprints with Protein Profiles That Correlate with Disease Severity |
المؤلفون: |
Jasmin H. Shahinian, Cosima B. Hauser-Stadler, Tim Walter, Philipp Discher, Ines Derya Steenbuck, Oliver Schilling, Martin Czerny |
المصدر: |
Biomedicines; Volume 10; Issue 9; Pages: 2103 |
بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
سنة النشر: |
2022 |
المجموعة: |
MDPI Open Access Publishing |
مصطلحات موضوعية: |
aortic pathologies, acute aortic syndrome, tissue proteomics, serum proteomics, biomarkers |
الوصف: |
Aortic diseases are a rare but potentially life-threatening condition. We present a serum proteomic study for a spectrum of aortic diseases including thoracic aortic aneurysms (n = 11), chronic dissections (n = 9), acute aortic dissections (n = 11), and surgically treated dissections (n = 19) as well as healthy controls (n = 10) and patients of coronary heart disease (n = 10) to represent non-aortic cardiovascular disease. In total, we identified and quantified 425 proteins across all 70 samples. The different aortic diseases represented distinguishable proteome profiles. We identified protein clusters that positively or negatively correlate with disease severity, including increase of cytosolic tissue leakage proteins and decrease of components of the coagulation and complement system. Further, we identified a serum proteome fingerprint of acute aortic dissections, consisting, among others, of enriched inflammatory markers such as C-reactive protein and members of the S100 protein family. The study underlines the applicability of serum proteomics for the investigation of aortic diseases and highlights the possibility to establish disease-specific prognostic markers. |
نوع الوثيقة: |
text |
وصف الملف: |
application/pdf |
اللغة: |
English |
Relation: |
Cell Biology and Pathology; https://dx.doi.org/10.3390/biomedicines10092103 |
DOI: |
10.3390/biomedicines10092103 |
الاتاحة: |
https://doi.org/10.3390/biomedicines10092103 |
Rights: |
https://creativecommons.org/licenses/by/4.0/ |
رقم الانضمام: |
edsbas.870A84C6 |
قاعدة البيانات: |
BASE |