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Verfasst von:Erhart, Philipp [VerfasserIn]   i
 Schiele, Sandra [VerfasserIn]   i
 Grond-Ginsbach, Caspar [VerfasserIn]   i
 Hakimi, Maani [VerfasserIn]   i
 Böckler, Dittmar [VerfasserIn]   i
 Lorenzo Bermejo, Justo [VerfasserIn]   i
 Dihlmann, Susanne [VerfasserIn]   i
Titel:Gene expression profiling in abdominal aortic aneurysms after finite element rupture risk assessment
Verf.angabe:Philipp Erhart, Sandra Schiele, Philip Ginsbach, Caspar Grond-Ginsbach, Maani Hakimi, Dittmar Böckler, Justo Lorenzo-Bermejo, and Susanne Dihlmann
E-Jahr:2017
Jahr:December 1, 2017
Umfang:9 S.
Fussnoten:Gesehen am 21.11.2018
Titel Quelle:Enthalten in: Journal of endovascular therapy
Ort Quelle:Thousand Oaks, Calif. : Sage, 2000
Jahr Quelle:2017
Band/Heft Quelle:24(2017), 6, Seite 861-869
ISSN Quelle:1545-1550
Abstract:Purpose: To investigate the association between local biomechanical rupture risk calculations from finite element analysis (FEA) and whole-genome profiling of the abdominal aortic aneurysm (AAA) wall to determine if AAA wall regions with highest and lowest estimated rupture risk show different gene expression patterns. Methods: Six patients (mean age 74 years; all men) scheduled for open surgery to treat asymptomatic AAAs (mean diameter 55.2±3.5 mm) were recruited for the study. Rupture risk profiles were estimated by FEA from preoperative computed tomography angiography data. During surgery, AAA wall samples of ~10 mm2 were extracted from the lowest and highest rupture risk locations identified by the FEA. Twelve samples were processed for RNA extraction and subsequent whole genome expression profiling. Expression of single genes and of predefined gene groups were compared between vessel wall areas with highest and lowest predicted rupture risk. Results: Normalized datasets comprised 15,079 gene transcripts with expression above background. In biopsies with high rupture risk, upregulation of 18 and downregulation of 18 genes was detected when compared to the low-risk counterpart. Global analysis of predefined gene groups revealed expression differences in genes associated with extracellular matrix (ECM) degradation (p<0.001), matrix metalloproteinase activity (p<0.001), and chemokine signaling (p<0.001). Conclusion: Increased expression of genes involved in degrading ECM components was present in AAA wall regions with highest biomechanical stress, supporting the thesis of mechanotransduction. More experimental studies with cooperation of multicenter vascular biobanks are necessary to understand AAA etiologies and identify further parameters of FEA model complementation.
DOI:doi:10.1177/1526602817729165
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: http://dx.doi.org/10.1177/1526602817729165
 Volltext: https://doi.org/10.1177/1526602817729165
 DOI: https://doi.org/10.1177/1526602817729165
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1583935169
Verknüpfungen:→ Zeitschrift

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