Details

Autor(en) / Beteiligte

• Ikonomidis, John S., MD, PhD
• Ivey, Charlotte R., BS
• Wheeler, Jason B., MD
• Akerman, Adam W., BS
• Rice, Allison, BS
• Patel, Risha K., BS
• Stroud, Robert E., MS
• Shah, Asad A., MD
• Hughes, Chad G., MD
• Ferrari, Giovanni, PhD
• Mukherjee, Rupak, PhD
• Jones, Jeffrey A., PhD

Titel

Plasma biomarkers for distinguishing etiologic subtypes of thoracic aortic aneurysm disease

Ist Teil von

• The Journal of thoracic and cardiovascular surgery, 2013-05, Vol.145 (5), p.1326-1333

Ort / Verlag

United States: Mosby, Inc

Erscheinungsjahr

2013

Link zum Volltext

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• Background Thoracic aortic aneurysms (TAAs) develop through an asymptomatic process resulting in gross dilation that progresses to rupture if left undetected and untreated. If detected, patients with TAA are followed over time until the risk of rupture outweighs the risk of surgical repair. Current methodologies for tracking TAA size are limited to expensive computed tomography or magnetic resonance imaging because no acceptable population screening tools are currently available. Previous studies from this laboratory and others have identified differential protein profiles for the matrix metalloproteinases (MMPs) and their endogenous tissue inhibitors (TIMPs), in ascending TAA tissue from patients with bicuspid aortic valves (BAVs), versus patients with idiopathic degenerative disease and a tricuspid aortic valve (TAV). In addition, altered microRNA (miR) expression levels have also been reported in TAAs compared with normal aortic tissue. The objective of our study was to identify circulating factors within plasma that could serve as potential biomarkers for distinguishing etiologic subtypes of aneurysm disease. Methods Ascending TAA tissue and plasma specimens were obtained from patients with BAV (n = 21) and TAV (n = 21) at the time of surgical resection. The protein abundance of key MMPs (1, 2, 3, 8, and 9), TIMPs (1, 2, 3, and 4), and miRs (1, 21, 29a, 133a, 143, and 145) was examined using a multianalyte protein profiling system or by quantitative polymerase chain reaction, respectively. Results were compared with normal aortic tissue and plasma obtained from patients without aortic disease (n = 10). Results Significant ( P  < .05) differences in standardized miR-1 and miR-21 abundance between BAV and TAV aortic tissue samples and different tissue and plasma profiles of analyte differences from normal aorta where observed between the BAV and TAV groups. Linear regression analysis revealed significant linear relationships in plasma and tissue measurements only for MMP-8 and TIMP-1, TIMP-3, and TIMP-4 ( P  < .05). Receiver operator curve analysis revealed specific cassettes of analytes predictive of TAA disease. Relative to normal aorta, BAV proteolytic balance was significantly increased for MMP-1, MMP-2, and MMP-7, and for decreased MMP-8 and MMP-9. In contrast, TAV proteolytic balance relative to normal aorta was significantly increased only for MMP-1 and decreased for MMP-8 and MMP-9. Conclusions Taken together, these unique data demonstrate differential plasma profiles of MMPs, TIMPs, and miRs in ascending TAA specimens from patients with BAV and TAV. These results suggest that circulating biomarkers may form the foundation for a broader platform of biomarkers capable of detecting the presence of TAA using a simple blood test and may also be useful in personalized strategies to distinguish between etiologic subtypes of TAAs in patients with aneurysm disease.