Literature DB >> 28255100

Improvement of myocardial infarction risk prediction via inflammation-associated metabolite biomarkers.

Cavin K Ward-Caviness1, Tao Xu1,2, Thor Aspelund3,4, Barbara Thorand1, Corinna Montrone5, Christa Meisinger1, Irmtraud Dunger-Kaltenbach5, Astrid Zierer1, Zhonghao Yu1,2, Inga R Helgadottir3, Tamara B Harris6, Lenore J Launer6, Andrea Ganna7, Lars Lind8, Gudny Eiriksdottir3, Melanie Waldenberger1,2, Cornelia Prehn9, Karsten Suhre5, Thomas Illig10, Jerzy Adamski9,11, Andreas Ruepp5,11, Wolfgang Koenig12,13,14, Vilmundur Gudnason3,15, Valur Emilsson3,16, Rui Wang-Sattler1,2, Annette Peters1,14,17.   

Abstract

OBJECTIVE: The comprehensive assaying of low-molecular-weight compounds, for example, metabolomics, provides a unique tool to uncover novel biomarkers and understand pathways underlying myocardial infarction (MI). We used a targeted metabolomics approach to identify biomarkers for MI and evaluate their involvement in the pathogenesis of MI. METHODS AND
RESULTS: Using three independent, prospective cohorts (KORA S4, KORA S2 and AGES-REFINE), totalling 2257 participants without a history of MI at baseline, we identified metabolites associated with incident MI (266 cases). We also investigated the association between the metabolites and high-sensitivity C reactive protein (hsCRP) to understand the relation between these metabolites and systemic inflammation. Out of 140 metabolites, 16 were nominally associated (p<0.05) with incident MI in KORA S4. Three metabolites, arginine and two lysophosphatidylcholines (LPC 17:0 and LPC 18:2), were selected as biomarkers via a backward stepwise selection procedure in the KORA S4 and were significant (p<0.0003) in a meta-analysis comprising all three studies including KORA S2 and AGES-REFINE. Furthermore, these three metabolites increased the predictive value of the Framingham risk score, increasing the area under the receiver operating characteristic score in KORA S4 (from 0.70 to 0.78, p=0.001) and AGES-REFINE study (from 0.70 to 0.76, p=0.02), but was not observed in KORA S2. The metabolite biomarkers attenuated the association between hsCRP and MI, indicating a potential link to systemic inflammatory processes.
CONCLUSIONS: We identified three metabolite biomarkers, which in combination increase the predictive value of the Framingham risk score. The attenuation of the hsCRP-MI association by these three metabolites indicates a potential link to systemic inflammation. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  Myocardial infarction; biomarkers; inflammation; metabolomics

Mesh:

Substances:

Year:  2017        PMID: 28255100      PMCID: PMC5871235          DOI: 10.1136/heartjnl-2016-310789

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  44 in total

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2.  Association of a peripheral blood metabolic profile with coronary artery disease and risk of subsequent cardiovascular events.

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Review 3.  Mechanisms linking obesity with cardiovascular disease.

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4.  CIDeR: multifactorial interaction networks in human diseases.

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Journal:  Genome Biol       Date:  2012-07-18       Impact factor: 13.583

Review 5.  Superoxide dismutases: role in redox signaling, vascular function, and diseases.

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Journal:  Antioxid Redox Signal       Date:  2011-06-06       Impact factor: 8.401

6.  A multilocus genetic risk score for coronary heart disease: case-control and prospective cohort analyses.

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7.  The expression of extracellular-superoxide dismutase is increased by lysophosphatidylcholine in human monocytic U937 cells.

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Journal:  Eur Heart J       Date:  2015-06-05       Impact factor: 29.983

9.  Novel biomarkers for pre-diabetes identified by metabolomics.

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Journal:  Mol Syst Biol       Date:  2012       Impact factor: 11.429

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4.  Plasma Energy-Balance Metabolites Discriminate Asymptomatic Patients with Peripheral Artery Disease.

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Review 5.  Metabolic Alterations in Cardiopulmonary Vascular Dysfunction.

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Journal:  Front Mol Biosci       Date:  2019-01-22

Review 6.  An Updated Review of Lysophosphatidylcholine Metabolism in Human Diseases.

Authors:  Shi-Hui Law; Mei-Lin Chan; Gopal K Marathe; Farzana Parveen; Chu-Huang Chen; Liang-Yin Ke
Journal:  Int J Mol Sci       Date:  2019-03-06       Impact factor: 5.923

7.  Low plasma lysophosphatidylcholines are associated with impaired mitochondrial oxidative capacity in adults in the Baltimore Longitudinal Study of Aging.

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Journal:  Aging Cell       Date:  2019-02-04       Impact factor: 9.304

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10.  Atheroma-Specific Lipids in ldlr-/- and apoe-/- Mice Using 2D and 3D Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging.

Authors:  Jianhua Cao; Pieter Goossens; Marta Martin-Lorenzo; Frédéric Dewez; Britt S R Claes; Erik A L Biessen; Ron M A Heeren; Benjamin Balluff
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