Refining Diagnostic MicroRNA Signatures by Whole-miRNome Kinetic Analysis in Acute Myocardial Infarction | Zendy

Britta Vogel | Zendy; Andreas Keller | Zendy; Karen Frese | Zendy; Wanda Kloos | Zendy; Elham Kayvanpour | Zendy; Farbod SedaghatHamedani | Zendy; Sarah Hassel | Zendy; Sabine Marquart | Zendy; Markus Beier | Zendy; Evangelos Giannitsis | Zendy; Stefan E. Hardt | Zendy; Hugo A. Katus | Zendy; Benjamin Meder | Zendy

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Refining Diagnostic MicroRNA Signatures by Whole-miRNome Kinetic Analysis in Acute Myocardial Infarction

Author(s) -

Britta Vogel,

Andreas Keller,

Karen Frese,

Wanda Kloos,

Elham Kayvanpour,

Farbod SedaghatHamedani,

Sarah Hassel,

Sabine Marquart,

Markus Beier,

Evangelos Giannitsis,

Stefan E. Hardt,

Hugo A. Katus,

Benjamin Meder

Publication year - 2012

Publication title -

clinical chemistry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.705

H-Index - 218

eISSN - 1530-8561

pISSN - 0009-9147

DOI - 10.1373/clinchem.2011.181370

Subject(s) - myocardial infarction , microrna , medicine , troponin t , cardiology , biomarker , troponin , primer extension , diagnostic biomarker , computational biology , bioinformatics , biology , diagnostic accuracy , messenger rna , gene , genetics

Alterations in microRNA (miRNA) expression patterns in whole blood may be useful biomarkers of diverse cardiovascular disorders. We previously reported that miRNAs are significantly dysregulated in acute myocardial infarction (AMI) and applied machine-learning techniques to define miRNA subsets with high diagnostic power for AMI diagnosis. However, the kinetics of the time-dependent sensitivity of these novel miRNA biomarkers remained unknown.

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