|
| Status |
Public on Dec 06, 2019 |
| Title |
Expression data for patients with myocardial infarction (MI) vs healthy patients |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
|
| Summary |
Myocardial infarction (MI) is one of the most severe manifestations of coronary artery disease (CAD) and the leading cause of death from non-infectious diseases worldwide. It is known, that the central component of CAD pathogenesis is a chronic vascular inflammation. However, the mechanisms underlying the changes that occur in T, B and NK-lymphocytes, monocytes and other immune cells during CAD and MI are still poorly understood. One of those pathogenic mechanisms might be the dysregulation of intracellular signaling pathways in the immune cells.
In the present study we performed a transcriptome profiling in peripheral blood mononuclear cells of MI patients and healthy individuals. The machine learning algorithm was then used to search for MI-associated signatures, that could reflect the dysregulation of intracellular signaling pathways and be assisted in MI diagnosis and/or prognosis.
ADAP2, KLRC1, MIR21, PDGFD and CD14 genes were identified as the most important signatures for the classification model with L1-norm penalty function. The classifier output quality was equal to 0.911 by Receiver Operating Characteristic metric on test data. These results were validated on two independent open GEO datasets.
|
| |
|
| Overall design |
6 patients with myocardial infarction (MI) were analyzed vs 6 healty patients
|
| |
|
| Contributor(s) |
Osmak G, Baulina N, Koshkin P, Favorova O |
| Citation(s) |
- Osmak G, Baulina N, Koshkin P, Favorova O. Collapsing the list of myocardial infarction-related differentially expressed genes into a diagnostic signature. J Transl Med 2020 Jun 9;18(1):231. PMID: 32517814
|
| Dec 05, 2019 |
| Last update date |
Jun 16, 2020 |
| Contact name |
German Osmak |
| E-mail(s) |
german.osmak@gmail.com
|
| Organization name |
National Medical Research Center for Cardiology
|
| Street address |
3-ya Cherepkovskaya
|
| City |
Moscow |
| ZIP/Postal code |
121552 |
| Country |
Russia |
| |
|
| Platforms (1) |
| GPL17586 |
[HTA-2_0] Affymetrix Human Transcriptome Array 2.0 [transcript (gene) version] |
|
|
