Literature DB >> 29114094

Association of Osteopontin, Neopterin, and Myeloperoxidase With Stroke Risk in Patients With Prior Stroke or Transient Ischemic Attacks: Results of an Analysis of 13 Biomarkers From the Stroke Prevention by Aggressive Reduction in Cholesterol Levels Trial.

Peter Ganz1, Pierre Amarenco2, Larry B Goldstein2, Henrik Sillesen2, Weihang Bao2, Gregory M Preston2, K Michael A Welch2.   

Abstract

BACKGROUND AND
PURPOSE: Established risk factors do not fully identify patients at risk for recurrent stroke. The SPARCL trial (Stroke Prevention by Aggressive Reduction in Cholesterol Levels) evaluated the effect of atorvastatin on stroke risk in patients with a recent stroke or transient ischemic attack and no known coronary heart disease. This analysis explored the relationships between 13 plasma biomarkers assessed at trial enrollment and the occurrence of outcome strokes.
METHODS: We conducted a case-cohort study of 2176 participants; 562 had outcome strokes and 1614 were selected randomly from those without outcome strokes. Time to stroke was evaluated by Cox proportional hazards models.
RESULTS: There was no association between time to stroke and lipoprotein-associated phospholipase A2, monocyte chemoattractant protein-1, resistin, matrix metalloproteinase-9, N-terminal fragment of pro-B-type natriuretic peptide, soluble vascular cell adhesion molecule-1, soluble intercellular adhesion molecule-1, or soluble CD40 ligand. In adjusted analyses, osteopontin (hazard ratio per SD change, 1.362; P<0.0001), neopterin (hazard ratio, 1.137; P=0.0107), myeloperoxidase (hazard ratio, 1.177; P=0.0022), and adiponectin (hazard ratio, 1.207; P=0.0013) were independently associated with outcome strokes. After adjustment for the Stroke Prognostic Instrument-II and treatment, osteopontin, neopterin, and myeloperoxidase remained independently associated with outcome strokes. The addition of these 3 biomarkers to Stroke Prognostic Instrument-II increased the area under the receiver operating characteristic curve by 0.023 (P=0.015) and yielded a continuous net reclassification improvement (29.1%; P<0.0001) and an integrated discrimination improvement (42.3%; P<0.0001).
CONCLUSIONS: Osteopontin, neopterin, and myeloperoxidase were independently associated with the risk of recurrent stroke and improved risk classification when added to a clinical risk algorithm. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique Identifier: NCT00147602.
© 2017 American Heart Association, Inc.

Entities:  

Keywords:  biomarkers; hydroxymethylglutaryl-CoA reductase inhibitors; proteomics; risk factors; stroke

Mesh:

Substances:

Year:  2017        PMID: 29114094     DOI: 10.1161/STROKEAHA.117.017965

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  9 in total

1.  Interleukin-6 and YKL-40 predicted recurrent stroke after ischemic stroke or TIA: analysis of 6 inflammation biomarkers in a prospective cohort study.

Authors:  Jiejie Li; Jinxi Lin; Yuesong Pan; Mengxing Wang; Xia Meng; Hao Li; Yilong Wang; Xingquan Zhao; Haiqiang Qin; Liping Liu; Yongjun Wang
Journal:  J Neuroinflammation       Date:  2022-06-06       Impact factor: 9.587

2.  Plasma Biomarkers as Potential Predictors of Functional Dependence in Daily Life Activities after Ischemic Stroke: A Single Center Study.

Authors:  Adina Huțanu; Mihaela Iancu; Smaranda Maier; Rodica Bălaşa; Minodora Dobreanu
Journal:  Ann Indian Acad Neurol       Date:  2019-05-14       Impact factor: 1.383

Review 3.  Genetically Determined Levels of Circulating Cytokines and Risk of Stroke.

Authors:  Marios K Georgakis; Dipender Gill; Kristiina Rannikmäe; Matthew Traylor; Christopher D Anderson; Jin-Moo Lee; Yoichiro Kamatani; Jemma C Hopewell; Bradford B Worrall; Jürgen Bernhagen; Cathie L M Sudlow; Rainer Malik; Martin Dichgans
Journal:  Circulation       Date:  2019-01-08       Impact factor: 29.690

Review 4.  Blood Biomarkers for Stroke Diagnosis and Management.

Authors:  Joseph Kamtchum-Tatuene; Glen C Jickling
Journal:  Neuromolecular Med       Date:  2019-03-04       Impact factor: 3.843

5.  DNA Hypomethylation of the MPO Gene in Peripheral Blood Leukocytes Is Associated with Cerebral Stroke in the Acute Phase.

Authors:  Olga Bushueva; Ekaterina Barysheva; Anton Markov; Andrey Belykh; Iuliia Koroleva; Egor Churkin; Alexey Polonikov; Vladimir Ivanov; Maria Nazarenko
Journal:  J Mol Neurosci       Date:  2021-04-17       Impact factor: 3.444

6.  Interleukin-6, C-reactive protein, fibrinogen, and risk of recurrence after ischaemic stroke: Systematic review and meta-analysis.

Authors:  J J McCabe; E O'Reilly; S Coveney; R Collins; L Healy; J McManus; R Mulcahy; B Moynihan; T Cassidy; F Hsu; B Worrall; S Murphy; M O'Donnell; P J Kelly
Journal:  Eur Stroke J       Date:  2021-01-05

7.  Lipoprotein-Associated Phospholipase A2 Activity and Mass as Independent Risk Factor of Stroke: A Meta-Analysis.

Authors:  Gaifeng Hu; Deping Liu; Huiyu Tong; Weijun Huang; Yunzhao Hu; Yuli Huang
Journal:  Biomed Res Int       Date:  2019-05-20       Impact factor: 3.411

8.  Osteopontin Predicts Three-Month Outcome in Stroke Patients Treated by Reperfusion Therapies.

Authors:  Elena Meseguer; Devy Diallo; Julien Labreuche; Hugo Charles; Sandrine Delbosc; Gabrielle Mangin; Linsay Monteiro Tavares; Giuseppina Caligiuri; Antonino Nicoletti; Pierre Amarenco
Journal:  J Clin Med       Date:  2020-12-13       Impact factor: 4.241

9.  Neopterin and kynurenic acid as predictors of stroke recurrence and mortality: a multicentre prospective cohort study on biomarkers of inflammation measured three months after ischemic stroke.

Authors:  Katinka Nordheim Alme; Arve Ulvik; Torunn Askim; Jörg Assmus; Tom Eirik Mollnes; Mala Naik; Halvor Næss; Ingvild Saltvedt; Per-Magne Ueland; Anne-Brita Knapskog
Journal:  BMC Neurol       Date:  2021-12-08       Impact factor: 2.474

  9 in total

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