Literature DB >> 31258818

Blood biomarker panel recommended for personalized prediction, prognosis, and prevention of complications associated with abdominal aortic aneurysm.

Jiri Molacek1, Vladislav Treska1, Jan Zeithaml1, Ivana Hollan2,3,4, Ondrej Topolcan5, Ladislav Pecen5, David Slouka5, Marie Karlikova5, Radek Kucera5,6.   

Abstract

The aim of the study was to evaluate the ability of following biomarkers as diagnostic tools and risk predictors of AAA: C-reactive protein, interleukin-6, pentraxin-3, galectin-3, procollagen type III N-terminal peptide, C-terminal telopeptide of type I collagen, high-sensitive troponin I, and brain natriuretic peptide. Seventy-two patients with an AAA and 100 healthy individuals were enrolled into the study. We assessed individual biomarker performance and correlation between the AAA diameter and biomarker levels, and also, a multivariate logistic regression was used to design a possible predictive model of AAA growth and rupture risk. We identified following four parameters with the highest potential to find a useful place in AAA diagnostics: galectin-3, pentraxin-3, interleukin-6, and C-terminal telopeptide of type I. The best biomarkers in our evaluation (galectin-3 and pentraxin-3) were AAA diameter-independent. With the high AUC and AAA diameter correlation, the high-sensitive troponin I can be used as an independent prognostic biomarker of the upcoming heart complications in AAA patients. Authors recommend to add biomarkers as additional parameters to the current AAA patient management. Main addition value of biomarkers is in the assessment of the AAA with the smaller diameter. Elevated biomarkers can change the treatment decision, which would be done only based on AAA diameter size. The best way how to manage the AAA patients is to create a reliable predictive model of AAA growth and rupture risk. A created multiparameter model gives very promising results with the significantly higher efficiency compared with the use of the individual biomarkers.

Entities:  

Keywords:  Abdominal aortic aneurism; Biomarker panel; Brain natriuretic peptide; C-Terminal telopeptide of type I collagen; Galectin-3; High-sensitive troponin I; Interleukin-6; Multivariate model; Multivariate stepwise logistic regression; Patient stratification; Pentraxin-3; Predictive preventive personalized medicine; Procollagen type III N-terminal peptide

Year:  2019        PMID: 31258818      PMCID: PMC6562056          DOI: 10.1007/s13167-019-00173-2

Source DB:  PubMed          Journal:  EPMA J        ISSN: 1878-5077            Impact factor:   6.543


  33 in total

1.  The UK small aneurysm trial.

Authors:  M L Schermerhorn; J L Cronenwett
Journal:  J Vasc Surg       Date:  2001-02       Impact factor: 4.268

2.  Five-year results of elastin and collagen markers as predictive tools in the management of small abdominal aortic aneurysms.

Authors:  J S Lindholt; L Heickendorff; S Vammen; H Fasting; E W Henneberg
Journal:  Eur J Vasc Endovasc Surg       Date:  2001-03       Impact factor: 7.069

3.  Aminoterminal propeptide of type III procollagen (PIIINP) is associated with ascending aortic aneurysm growth rate.

Authors:  Olivier Ormezzano; Jean-Philippe Baguet; Frédéric Thony; Dominique Blin; Olivier Chavanon; Bertrand Toussaint; Candice Trocmé; Gérald Vanzetto; Patrice Faure
Journal:  Int J Cardiol       Date:  2010-03-12       Impact factor: 4.164

4.  Cytokines as plasma markers of abdominal aortic aneurysm.

Authors:  V Treska; O Topolcan; L Pecen
Journal:  Clin Chem Lab Med       Date:  2000-11       Impact factor: 3.694

5.  Turnover of fibrillar collagen in soft biological tissue with application to the expansion of abdominal aortic aneurysms.

Authors:  Giampaolo Martufi; T Christian Gasser
Journal:  J R Soc Interface       Date:  2012-08-15       Impact factor: 4.118

6.  Aortic aneurysms secrete interleukin-6 into the circulation.

Authors:  Joe Dawson; Gillian W Cockerill; Edward Choke; Anne-Maria Belli; Ian Loftus; Matt M Thompson
Journal:  J Vasc Surg       Date:  2007-02       Impact factor: 4.268

7.  Cardiac troponin I predicts outcome after ruptured abdominal aortic aneurysm repair.

Authors:  A L Tambyraja; A R W Dawson; J A Murie; R T A Chalmers
Journal:  Br J Surg       Date:  2005-07       Impact factor: 6.939

8.  Galectin-3 is an amplifier of inflammation in atherosclerotic plaque progression through macrophage activation and monocyte chemoattraction.

Authors:  Marianna Papaspyridonos; Eileen McNeill; Joe P de Bono; Alberto Smith; Kevin G Burnand; Keith M Channon; David R Greaves
Journal:  Arterioscler Thromb Vasc Biol       Date:  2007-12-20       Impact factor: 8.311

Review 9.  Potential circulating biomarkers for abdominal aortic aneurysm expansion and rupture--a systematic review.

Authors:  S Urbonavicius; G Urbonaviciene; B Honoré; E W Henneberg; H Vorum; J S Lindholt
Journal:  Eur J Vasc Endovasc Surg       Date:  2008-07-17       Impact factor: 7.069

10.  General report & recommendations in predictive, preventive and personalised medicine 2012: white paper of the European Association for Predictive, Preventive and Personalised Medicine.

Authors:  Olga Golubnitschaja; Vincenzo Costigliola
Journal:  EPMA J       Date:  2012-11-01       Impact factor: 6.543

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  3 in total

1.  Inflammatory cell infiltrates, hypoxia, vascularization, pentraxin 3 and osteoprotegerin in abdominal aortic aneurysms - A quantitative histological study.

Authors:  Tereza Blassova; Zbynek Tonar; Petr Tomasek; Petr Hosek; Ivana Hollan; Vladislav Treska; Jiri Molacek
Journal:  PLoS One       Date:  2019-11-08       Impact factor: 3.240

2.  Serum Lipid Oxidative Stress Products as Risk Factors Are the Candidate Predictive Biomarkers for Human Abdominal Aortic Aneurysms.

Authors:  Feng Shi; Changcheng Ma; Chao Ji; Mu Li; Xun Liu; Yanshuo Han
Journal:  Clin Appl Thromb Hemost       Date:  2020 Jan-Dec       Impact factor: 2.389

3.  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

  3 in total

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