Literature DB >> 20923274

Proteomic biomarkers for diagnosis in acute myocardial infarction.

Jong Pil Park1, Moon Ki Park, Jong Won Yun.   

Abstract

Acute myocardial infarction (AMI) is considered the leading cause of morbidity and mortality in many industrialized nations. AMI is defined currently by detection of a rise and/or fall of cardiac biomarkers at least above the 99th percentile of the upper limit. Early detection of AMI could conceivably provide important information for understanding the molecular functions of heart disease, and would enable more effective diagnosis and treatment of patients. However, diagnostic approaches currently in use for the evaluation of patients, associated with chest pain or other symptoms suggestive of AMI are acceptable, but they are time-consuming, high-cost and labour-intensive in most cases. Thus, much work is needed in the development of biomarkers for accurate and cost-effective diagnosis of AMI and for effective management of patients. In this article, we give an overview of proteomic biomarkers for rapid and reliable diagnosis of AMI, focusing on biochemical characteristics and their clinical applications for point-of-care of AMI. We also postulate the future directions in the pursuit of integrated multiplex assay systems for multifunctional diagnosis in AMI.

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Year:  2010        PMID: 20923274     DOI: 10.3109/1354750X.2010.515688

Source DB:  PubMed          Journal:  Biomarkers        ISSN: 1354-750X            Impact factor:   2.658


  4 in total

1.  Differential expression profiles of long non-coding RNAs as potential biomarkers for the early diagnosis of acute myocardial infarction.

Authors:  Ling Li; Yingying Cong; Xueqin Gao; Yini Wang; Ping Lin
Journal:  Oncotarget       Date:  2017-08-09

2.  Identification of feature autophagy-related genes in patients with acute myocardial infarction based on bioinformatics analyses.

Authors:  Yajuan Du; Enfa Zhao; Yushun Zhang
Journal:  Biosci Rep       Date:  2020-07-31       Impact factor: 3.840

3.  Identification of Featured Metabolism-Related Genes in Patients with Acute Myocardial Infarction.

Authors:  Hang Xie; Enfa Zha; Yushun Zhang
Journal:  Dis Markers       Date:  2020-11-28       Impact factor: 3.434

4.  Plasma Quantitative Lipid Profiles: Identification of CarnitineC18:1-OH, CarnitineC18:2-OH and FFA (20:1) as Novel Biomarkers for Pre-warning and Prognosis in Acute Myocardial Infarction.

Authors:  Jun Liu; Liangqiu Tang; Qiqi Lu; Yi Yu; Qiu-Gui Xu; Shanqiang Zhang; Yun-Xian Chen; Wen-Jie Dai; Ji-Cheng Li
Journal:  Front Cardiovasc Med       Date:  2022-04-11
  4 in total

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