232
Views
19
CrossRef citations to date
0
Altmetric
Review Article

Proteomic biomarkers for diagnosis in acute myocardial infarction

, &
Pages 1-11 | Received 04 Jun 2010, Accepted 11 Aug 2010, Published online: 05 Oct 2010
 

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.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 527.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.