Literature DB >> 33292046

Screening of Multiple Biomarkers Associated With Ischemic Stroke in Atrial Fibrillation.

Ziad Hijazi1,2, Lars Wallentin1,2, Johan Lindbäck2, John H Alexander3, Stuart J Connolly4, John W Eikelboom4, Michael D Ezekowitz5,6, Christopher B Granger3, Renato D Lopes3, Tymon Pol1, Salim Yusuf4, Jonas Oldgren1,2, Agneta Siegbahn2,7.   

Abstract

Background To explore the pathophysiological features of ischemic stroke in patients with atrial fibrillation (AF), we evaluated the association between 268 plasma proteins and subsequent ischemic stroke in 2 large AF cohorts receiving oral anticoagulation. Methods and Results A case-cohort sample of patients with AF from the ARISTOTLE (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation) trial, including 282 cases with ischemic stroke or systemic embolism and a random sample of 4124 without these events, during 1.9 years of follow-up was used for identification. Validation was provided by a similar case-cohort sample of patients with AF from the RE-LY (Randomized Evaluation of Long-Term Anticoagulation Therapy) trial, including 149 cases with ischemic stroke/systemic embolism and a random sample of 1062 without these events. In plasma obtained before randomization, 268 unique biomarkers were measured with OLINK proximity extension assay panels (CVD II, CVD III, and Inflammation) and conventional immunoassays. The association between biomarkers and outcomes was evaluated by random survival forest and adjusted Cox regression. According to random survival forest or Cox regression analyses, the biomarkers most strongly and consistently associated with ischemic stroke/systemic embolism were matrix metalloproteinase-9, NT-proBNP (N-terminal pro-B-type natriuretic peptide), osteopontin, sortilin, soluble suppression of tumorigenesis 2, and trefoil factor-3. The corresponding hazard ratios (95% CIs) for an interquartile difference were as follows: 1.18 (1.00-1.38), 1.55 (1.28-1.88), 1.28 (1.07-1.53), 1.19 (1.02-1.39), 1.23 (1.05-1.45), and 1.19 (0.97-1.45), respectively. Conclusions In patients with AF, of 268 unique biomarkers, the 6 biomarkers most strongly associated with subsequent ischemic stroke/systemic embolism represent fibrosis/remodeling (matrix metalloproteinase-9 and soluble suppression of tumorigenesis 2), cardiac dysfunction (NT-proBNP), vascular calcification (osteopontin), metabolism (sortilin), and mucosal integrity/ischemia (trefoil factor-3). Registration URL: https://www.clinicaltrials.gov. Unique Identifiers: NCT00412984 and NCT00262600.

Entities:  

Keywords:  atrial fibrillation; biomarkers; ischemic stroke; pathophysiological features; screening

Year:  2020        PMID: 33292046     DOI: 10.1161/JAHA.120.018984

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


  7 in total

1.  Improving prediction of anticoagulant-related major bleeding in atrial fibrillation: The search for new biomarkers.

Authors:  David D Berg; David A Morrow
Journal:  J Thromb Haemost       Date:  2021-11       Impact factor: 5.824

2.  Systemic immune inflammation index and system inflammation response index are potential biomarkers of atrial fibrillation among the patients presenting with ischemic stroke.

Authors:  Kai-Bin Lin; Feng-Hua Fan; Ming-Qi Cai; Yin Yu; Chuan-Liang Fu; Lu-Yue Ding; Yu-Dong Sun; Jia-Wen Sun; Yong-Wang Shi; Zhi-Feng Dong; Min-Jie Yuan; Shuai Li; Yan-Peng Wang; Kan-Kai Chen; Ji-Ni Zhu; Xin-Wei Guo; Xue Zhang; Yu-Wu Zhao; Jing-Bo Li; Dong Huang
Journal:  Eur J Med Res       Date:  2022-07-02       Impact factor: 4.981

3.  Proteomics and Risk of Atrial Fibrillation in Older Adults (From the Atherosclerosis Risk in Communities [ARIC] Study).

Authors:  Faye L Norby; Weihong Tang; James S Pankow; Pamela L Lutsey; Alvaro Alonso; Brian Steffan; Lin Y Chen; Michael Zhang; Nathan D Shippee; Christie M Ballantyne; Eric Boerwinkle; Josef Coresh; Aaron R Folsom
Journal:  Am J Cardiol       Date:  2021-12-15       Impact factor: 3.133

4.  Analysis of the expression levels of chemerin, ox-LDL, MMP-9, and PAPP-A in ICVD patients and their relationship with the severity of neurological impairment.

Authors:  Jianpu Jia; Lixuan Wang; Liran Zhang; Zhen Hong; Ruixue Xia; Zeyu Zhao; Leguo Zhang
Journal:  Brain Behav       Date:  2022-05-26       Impact factor: 3.405

5.  Urinary Proteome Analysis of Global Cerebral Ischemia-Reperfusion Injury Rat Model via Data-Independent Acquisition and Parallel Reaction Monitoring Proteomics.

Authors:  Xiaopeng Sun; Qiujie Li; Jiajia Wang; Yuan Ma; Mingshan Wang; Weiwei Qin
Journal:  J Mol Neurosci       Date:  2022-08-03       Impact factor: 2.866

Review 6.  Clinical and Molecular Implications of Osteopontin in Heart Failure.

Authors:  Argen Mamazhakypov; Meerim Sartmyrzaeva; Akpay Sh Sarybaev; Ralph Schermuly; Akylbek Sydykov
Journal:  Curr Issues Mol Biol       Date:  2022-08-11       Impact factor: 2.976

Review 7.  A Review of Biomarkers for Ischemic Stroke Evaluation in Patients With Non-valvular Atrial Fibrillation.

Authors:  Luxiang Shang; Ling Zhang; Yankai Guo; Huaxin Sun; Xiaoxue Zhang; Yakun Bo; Xianhui Zhou; Baopeng Tang
Journal:  Front Cardiovasc Med       Date:  2021-07-01
  7 in total

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