Establishing molecular signatures of stroke focusing on omic approaches: a narrative review
| Autor: | Anjana Munshi, Abhilash Ludhiadch, Kanika Vasudeva |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Proteomics Genomic data Patient risk Genomics 03 medical and health sciences 0302 clinical medicine medicine Humans Metabolomics Stroke business.industry General Neuroscience Gene Expression Profiling General Medicine medicine.disease Omics Data science Clinical Practice 030104 developmental biology Narrative review business 030217 neurology & neurosurgery Omics technologies Genome-Wide Association Study |
| Zdroj: | The International journal of neuroscience. 130(12) |
| ISSN: | 1563-5279 |
| Popis: | Stroke or 'brain attack' is considered to be the major cause of mortality and morbidity worldwide after myocardial infraction. Inspite of the years of research and clinical practice, the pathogenesis of stroke still remains incompletely understood. Omics approaches not only enable the description of a huge number of molecular platforms but also have a potential to recognize new factors associated with various complex disorders including stroke. The most significant development among all other omics technologies over the recent years has been seen by genomics which is a powerful tool for exploring the genetic architecture of stroke. Genomics has decisively established itself in stroke research and by now wealth of data has been generated providing new insights into the physiology and pathophysiology of stroke. However, the efficacy of genomic data is restricted to risk prediction only. Omics approaches not only enable the description of a huge number of molecular platforms but also have a potential to recognize new factors associated with various complex disorders including stroke. The data generated by omics technologies enables clinicians to provide detailed insight into the makeup of stroke in individual patients, which will further help in developing diagnostic procedures to direct therapies. Present review has been compiled with an aim to understand the potential of integrated omics approach to help in characterization of mechanisms leading to stroke, to predict the patient risk of getting stroke by analyzing signature biomarkers and to develop targeted therapeutic strategies. |
| Databáze: | OpenAIRE |
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