Literature DB >> 20822720

Proteomics and pitfalls in the search for potential biomarkers of abdominal aortic aneurysms.

Ian M Nordon1, Ranjeet Brar, Robert J Hinchliffe, Gillian Cockerill, Matthew M Thompson.   

Abstract

Proteomics is evolving as an important research technique in cardiovascular disease. We present exploratory research for a systemic biomarker of abdominal aortic aneurysm (AAA) in serum. Forty patients, 20 with large AAAs and 20 matched controls, were prospectively recruited. Serum was harvested, enriched, and mined for differential protein expression. Difference in gel electrophoresis using a two-dimensional platform, cyanine labeling, and Progenesis SameSpots software identified protein spots with significantly altered intensity. Liquid chromatography mass spectrometry aligned to the Seaquest protein database characterized proteins of interest, and 436 protein spots were demonstrated from the 20 processed gels. Thirteen spots of interest, demonstrating fold change (1.7-4) between the two patient cohorts and consistent significant differential expression (analysis of variance, p </= .003), were picked for identification. Four of 13 spots were identified according to their tandem mass spectra. These were fragments of serum albumin, hemoglobin, and apolipoprotein C-II precursor. Identified spots represented proteins highly abundant in serum, not candidate biomarkers. Issues of variability surrounding serum harvest, processing, enrichment, and the challenge of identifying minimally expressed proteins currently limit this avenue of research. No proteins identified in this study had the biologic plausibility to represent a possible biomarker of aneurysmal disease. The tissue proteome may be a more rewarding approach for preliminary investigation of plausible biomarkers.

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Year:  2010        PMID: 20822720     DOI: 10.2310/6670.2010.00046

Source DB:  PubMed          Journal:  Vascular        ISSN: 1708-5381            Impact factor:   1.285


  7 in total

1.  Preapoptotic protease calpain-2 is frequently suppressed in adult T-cell leukemia.

Authors:  Makoto Ishihara; Natsumi Araya; Tomoo Sato; Ayako Tatsuguchi; Naomi Saichi; Atae Utsunomiya; Yusuke Nakamura; Hidewaki Nakagawa; Yoshihisa Yamano; Koji Ueda
Journal:  Blood       Date:  2013-03-28       Impact factor: 22.113

Review 2.  Proteomic approaches to identify circulating biomarkers in patients with abdominal aortic aneurysm.

Authors:  Dan Bylund; Anders E Henriksson
Journal:  Am J Cardiovasc Dis       Date:  2015-09-15

3.  Quantitative mass spectrometry analysis using PAcIFIC for the identification of plasma diagnostic biomarkers for abdominal aortic aneurysm.

Authors:  Adelina E Acosta-Martin; Alexandre Panchaud; Maggy Chwastyniak; Annabelle Dupont; Francis Juthier; Corinne Gautier; Brigitte Jude; Philippe Amouyel; David R Goodlett; Florence Pinet
Journal:  PLoS One       Date:  2011-12-07       Impact factor: 3.240

4.  Proteomic analysis of the abdominal aortic aneurysm wall.

Authors:  Jiri Molacek; Jan Mares; Vladislav Treska; Karel Houdek; Jan Baxa
Journal:  Surg Today       Date:  2013-03-22       Impact factor: 2.549

5.  A simple toolset to identify endogenous post-translational modifications for a target protein: a snapshot of the EGFR signaling pathway.

Authors:  Henrick Horita; Andy Law; Soonjin Hong; Kim Middleton
Journal:  Biosci Rep       Date:  2017-07-19       Impact factor: 3.840

6.  Identification of Potential Plasma Biomarkers for Abdominal Aortic Aneurysm Using Tandem Mass Tag Quantitative Proteomics.

Authors:  Anders E Henriksson; Markus Lindqvist; Carina Sihlbom; Jörgen Bergström; Dan Bylund
Journal:  Proteomes       Date:  2018-10-18

7.  Discovery of novel biomarkers for atherosclerotic aortic aneurysm through proteomics-based assessment of disease progression.

Authors:  Hiroaki Yagi; Mitsuhiro Nishigori; Yusuke Murakami; Tsukasa Osaki; Sayaka Muto; Yutaka Iba; Kenji Minatoya; Yoshihiko Ikeda; Hatsue Ishibashi-Ueda; Takayuki Morisaki; Hitoshi Ogino; Hiroshi Tanaka; Hiroaki Sasaki; Hitoshi Matsuda; Naoto Minamino
Journal:  Sci Rep       Date:  2020-04-14       Impact factor: 4.379

  7 in total

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