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Molecular Fingerprint for Terminal Abdominal Aortic Aneurysm Disease
BACKGROUND: Clinical decision making in abdominal aortic aneurysms (AAA) relies completely on diameter. At this point, improved decision tools remain an unmet medical need. Our goal was to identify changes at the molecular level specifically leading up to AAA rupture. METHODS AND RESULTS: Aortic wal...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779007/ https://www.ncbi.nlm.nih.gov/pubmed/29191809 http://dx.doi.org/10.1161/JAHA.117.006798 |
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author | Gäbel, Gabor Northoff, Bernd H. Weinzierl, Irina Ludwig, Stefan Hinterseher, Irene Wilfert, Wolfgang Teupser, Daniel Doderer, Stefan A. Bergert, Hendrik Schönleben, Frank Lindeman, Jan H. N. Holdt, Lesca M. |
author_facet | Gäbel, Gabor Northoff, Bernd H. Weinzierl, Irina Ludwig, Stefan Hinterseher, Irene Wilfert, Wolfgang Teupser, Daniel Doderer, Stefan A. Bergert, Hendrik Schönleben, Frank Lindeman, Jan H. N. Holdt, Lesca M. |
author_sort | Gäbel, Gabor |
collection | PubMed |
description | BACKGROUND: Clinical decision making in abdominal aortic aneurysms (AAA) relies completely on diameter. At this point, improved decision tools remain an unmet medical need. Our goal was to identify changes at the molecular level specifically leading up to AAA rupture. METHODS AND RESULTS: Aortic wall tissue specimens were collected during open elective (eAAA; n=31) or emergency repair of ruptured AAA (rAAA; n=17), and gene expression was investigated using microarrays. Identified candidate genes were validated with quantitative real‐time polymerase chain reaction in an independent sample set (eAAA: n=46; rAAA: n=18). Two gene sets were identified, 1 set containing 5 genes linked to terminal progression, that is, positively associated with progression of larger AAA, and with rupture (HILPDA,ANGPTL4,LOX,SRPX2,FCGBP), and a second set containing 5 genes exclusively upregulated in rAAA (ADAMTS9,STC1,GFPT2,GAL3ST4,CCL4L1). Genes in both sets essentially associated with processes related to impaired tissue remodeling, such as angiogenesis and adipogenesis. In gene expression experiments we were able to show that upregulated gene expression for identified candidate genes is unique for AAA. Functionally, the selected upregulated factors converge at processes coordinated by the canonical HIF‐1α signaling pathway and are highly expressed in fibroblasts but not inflammatory cells of the aneurysmatic wall. Histological quantification of angiogenesis and exploration of the HIF‐1α network in rAAA versus eAAA shows enhanced microvessel density but also clear activation of the HIF‐1α network in rAAA. CONCLUSIONS: Our study shows a specific molecular fingerprint for terminal AAA disease. These changes appear to converge at activation of HIF‐1α signaling in mesenchymal cells. Aspects of this cascade might represent targets for rupture risk assessment. |
format | Online Article Text |
id | pubmed-5779007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57790072018-01-26 Molecular Fingerprint for Terminal Abdominal Aortic Aneurysm Disease Gäbel, Gabor Northoff, Bernd H. Weinzierl, Irina Ludwig, Stefan Hinterseher, Irene Wilfert, Wolfgang Teupser, Daniel Doderer, Stefan A. Bergert, Hendrik Schönleben, Frank Lindeman, Jan H. N. Holdt, Lesca M. J Am Heart Assoc Original Research BACKGROUND: Clinical decision making in abdominal aortic aneurysms (AAA) relies completely on diameter. At this point, improved decision tools remain an unmet medical need. Our goal was to identify changes at the molecular level specifically leading up to AAA rupture. METHODS AND RESULTS: Aortic wall tissue specimens were collected during open elective (eAAA; n=31) or emergency repair of ruptured AAA (rAAA; n=17), and gene expression was investigated using microarrays. Identified candidate genes were validated with quantitative real‐time polymerase chain reaction in an independent sample set (eAAA: n=46; rAAA: n=18). Two gene sets were identified, 1 set containing 5 genes linked to terminal progression, that is, positively associated with progression of larger AAA, and with rupture (HILPDA,ANGPTL4,LOX,SRPX2,FCGBP), and a second set containing 5 genes exclusively upregulated in rAAA (ADAMTS9,STC1,GFPT2,GAL3ST4,CCL4L1). Genes in both sets essentially associated with processes related to impaired tissue remodeling, such as angiogenesis and adipogenesis. In gene expression experiments we were able to show that upregulated gene expression for identified candidate genes is unique for AAA. Functionally, the selected upregulated factors converge at processes coordinated by the canonical HIF‐1α signaling pathway and are highly expressed in fibroblasts but not inflammatory cells of the aneurysmatic wall. Histological quantification of angiogenesis and exploration of the HIF‐1α network in rAAA versus eAAA shows enhanced microvessel density but also clear activation of the HIF‐1α network in rAAA. CONCLUSIONS: Our study shows a specific molecular fingerprint for terminal AAA disease. These changes appear to converge at activation of HIF‐1α signaling in mesenchymal cells. Aspects of this cascade might represent targets for rupture risk assessment. John Wiley and Sons Inc. 2017-11-30 /pmc/articles/PMC5779007/ /pubmed/29191809 http://dx.doi.org/10.1161/JAHA.117.006798 Text en © 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Research Gäbel, Gabor Northoff, Bernd H. Weinzierl, Irina Ludwig, Stefan Hinterseher, Irene Wilfert, Wolfgang Teupser, Daniel Doderer, Stefan A. Bergert, Hendrik Schönleben, Frank Lindeman, Jan H. N. Holdt, Lesca M. Molecular Fingerprint for Terminal Abdominal Aortic Aneurysm Disease |
title | Molecular Fingerprint for Terminal Abdominal Aortic Aneurysm Disease |
title_full | Molecular Fingerprint for Terminal Abdominal Aortic Aneurysm Disease |
title_fullStr | Molecular Fingerprint for Terminal Abdominal Aortic Aneurysm Disease |
title_full_unstemmed | Molecular Fingerprint for Terminal Abdominal Aortic Aneurysm Disease |
title_short | Molecular Fingerprint for Terminal Abdominal Aortic Aneurysm Disease |
title_sort | molecular fingerprint for terminal abdominal aortic aneurysm disease |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779007/ https://www.ncbi.nlm.nih.gov/pubmed/29191809 http://dx.doi.org/10.1161/JAHA.117.006798 |
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