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Discovery of novel biomarkers for atherosclerotic aortic aneurysm through proteomics-based assessment of disease progression
Since aortic aneurysms (AAs) are mostly asymptomatic, but they have a high mortality rate upon rupture, their detection and progression evaluation are clinically important issues. To discover diagnostic biomarkers for AA, we performed proteome analysis of aortic media from patients with thoracic ath...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156426/ https://www.ncbi.nlm.nih.gov/pubmed/32286426 http://dx.doi.org/10.1038/s41598-020-63229-8 |
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author | Yagi, Hiroaki Nishigori, Mitsuhiro Murakami, Yusuke Osaki, Tsukasa Muto, Sayaka Iba, Yutaka Minatoya, Kenji Ikeda, Yoshihiko Ishibashi-Ueda, Hatsue Morisaki, Takayuki Ogino, Hitoshi Tanaka, Hiroshi Sasaki, Hiroaki Matsuda, Hitoshi Minamino, Naoto |
author_facet | Yagi, Hiroaki Nishigori, Mitsuhiro Murakami, Yusuke Osaki, Tsukasa Muto, Sayaka Iba, Yutaka Minatoya, Kenji Ikeda, Yoshihiko Ishibashi-Ueda, Hatsue Morisaki, Takayuki Ogino, Hitoshi Tanaka, Hiroshi Sasaki, Hiroaki Matsuda, Hitoshi Minamino, Naoto |
author_sort | Yagi, Hiroaki |
collection | PubMed |
description | Since aortic aneurysms (AAs) are mostly asymptomatic, but they have a high mortality rate upon rupture, their detection and progression evaluation are clinically important issues. To discover diagnostic biomarkers for AA, we performed proteome analysis of aortic media from patients with thoracic atherosclerotic AA (TAAA), comparing protein levels between the aneurysm and normal tissue areas. After hierarchical clustering analysis of the proteome analysis data, tissue samples were classified into three groups, regardless of morphological features. This classification was shown to reflect disease progression stage identified by pathological examination. This proteomics-based staging system enabled us to identify more significantly altered proteins than the morphological classification system. In subsequent data analysis, Niemann-Pick disease type C2 protein (NPC2) and insulin-like growth factor-binding protein 7 (IGFBP7) were selected as novel biomarker candidates for AA and were compared with the previously reported biomarker, thrombospondin 1 (THBS1). Blood concentrations of NPC2 and IGFBP7 were significantly increased, while THBS1 levels were decreased in TAAA and abdominal atherosclerotic AA patients. Receiver operating characteristic analysis of AA patients and healthy controls showed that NPC2 and IGFBP7 have higher specificity and sensitivity than THBS1. Thus, NPC2 and IGFBP7 are promising biomarkers for the detection and progression evaluation of AA. |
format | Online Article Text |
id | pubmed-7156426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71564262020-04-19 Discovery of novel biomarkers for atherosclerotic aortic aneurysm through proteomics-based assessment of disease progression Yagi, Hiroaki Nishigori, Mitsuhiro Murakami, Yusuke Osaki, Tsukasa Muto, Sayaka Iba, Yutaka Minatoya, Kenji Ikeda, Yoshihiko Ishibashi-Ueda, Hatsue Morisaki, Takayuki Ogino, Hitoshi Tanaka, Hiroshi Sasaki, Hiroaki Matsuda, Hitoshi Minamino, Naoto Sci Rep Article Since aortic aneurysms (AAs) are mostly asymptomatic, but they have a high mortality rate upon rupture, their detection and progression evaluation are clinically important issues. To discover diagnostic biomarkers for AA, we performed proteome analysis of aortic media from patients with thoracic atherosclerotic AA (TAAA), comparing protein levels between the aneurysm and normal tissue areas. After hierarchical clustering analysis of the proteome analysis data, tissue samples were classified into three groups, regardless of morphological features. This classification was shown to reflect disease progression stage identified by pathological examination. This proteomics-based staging system enabled us to identify more significantly altered proteins than the morphological classification system. In subsequent data analysis, Niemann-Pick disease type C2 protein (NPC2) and insulin-like growth factor-binding protein 7 (IGFBP7) were selected as novel biomarker candidates for AA and were compared with the previously reported biomarker, thrombospondin 1 (THBS1). Blood concentrations of NPC2 and IGFBP7 were significantly increased, while THBS1 levels were decreased in TAAA and abdominal atherosclerotic AA patients. Receiver operating characteristic analysis of AA patients and healthy controls showed that NPC2 and IGFBP7 have higher specificity and sensitivity than THBS1. Thus, NPC2 and IGFBP7 are promising biomarkers for the detection and progression evaluation of AA. Nature Publishing Group UK 2020-04-14 /pmc/articles/PMC7156426/ /pubmed/32286426 http://dx.doi.org/10.1038/s41598-020-63229-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Yagi, Hiroaki Nishigori, Mitsuhiro Murakami, Yusuke Osaki, Tsukasa Muto, Sayaka Iba, Yutaka Minatoya, Kenji Ikeda, Yoshihiko Ishibashi-Ueda, Hatsue Morisaki, Takayuki Ogino, Hitoshi Tanaka, Hiroshi Sasaki, Hiroaki Matsuda, Hitoshi Minamino, Naoto Discovery of novel biomarkers for atherosclerotic aortic aneurysm through proteomics-based assessment of disease progression |
title | Discovery of novel biomarkers for atherosclerotic aortic aneurysm through proteomics-based assessment of disease progression |
title_full | Discovery of novel biomarkers for atherosclerotic aortic aneurysm through proteomics-based assessment of disease progression |
title_fullStr | Discovery of novel biomarkers for atherosclerotic aortic aneurysm through proteomics-based assessment of disease progression |
title_full_unstemmed | Discovery of novel biomarkers for atherosclerotic aortic aneurysm through proteomics-based assessment of disease progression |
title_short | Discovery of novel biomarkers for atherosclerotic aortic aneurysm through proteomics-based assessment of disease progression |
title_sort | discovery of novel biomarkers for atherosclerotic aortic aneurysm through proteomics-based assessment of disease progression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156426/ https://www.ncbi.nlm.nih.gov/pubmed/32286426 http://dx.doi.org/10.1038/s41598-020-63229-8 |
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