Systems biology and cardiac arrhythmias.
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| Title: | Systems biology and cardiac arrhythmias. |
|---|---|
| Authors: | Grace AA (AUTHOR), Roden DM (AUTHOR), Grace, Andrew A (AUTHOR), Roden, Dan M (AUTHOR) |
| Source: | Lancet. 10/27/2012, Vol. 380 Issue 9852, p1498-1508. 11p. |
| Subjects: | Arrhythmia, Atrial fibrillation, Cardiac arrest, Disease susceptibility, Electrocardiography, Heart conduction system, Research funding, Phenotypes, Bioinformatics, Long QT syndrome, Disease incidence, Sequence analysis, Disease complications |
| Abstract: | During the past few years, the development of effective, empirical technologies for treatment of cardiac arrhythmias has exceeded the pace at which detailed knowledge of the underlying biology has accumulated. As a result, although some clinical arrhythmias can be cured with techniques such as catheter ablation, drug treatment and prediction of the risk of sudden death remain fairly primitive. The identification of key candidate genes for monogenic arrhythmia syndromes shows that to bring basic biology to the clinic is a powerful approach. Increasingly sophisticated experimental models and methods of measurement, including stem cell-based models of human cardiac arrhythmias, are being deployed to study how perturbations in several biologic pathways can result in an arrhythmia-prone heart. The biology of arrhythmia is largely quantifiable, which allows for systematic analysis that could transform treatment strategies that are often still empirical into management based on molecular evidence. [ABSTRACT FROM AUTHOR] |
| Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 108105635 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Systems biology and cardiac arrhythmias. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Grace+AA%22">Grace AA</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Roden+DM%22">Roden DM</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Grace%2C+Andrew+A%22">Grace, Andrew A</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Roden%2C+Dan+M%22">Roden, Dan M</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Lancet%22">Lancet</searchLink>. 10/27/2012, Vol. 380 Issue 9852, p1498-1508. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Arrhythmia%22">Arrhythmia</searchLink><br /><searchLink fieldCode="DE" term="%22Atrial+fibrillation%22">Atrial fibrillation</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiac+arrest%22">Cardiac arrest</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+susceptibility%22">Disease susceptibility</searchLink><br /><searchLink fieldCode="DE" term="%22Electrocardiography%22">Electrocardiography</searchLink><br /><searchLink fieldCode="DE" term="%22Heart+conduction+system%22">Heart conduction system</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Phenotypes%22">Phenotypes</searchLink><br /><searchLink fieldCode="DE" term="%22Bioinformatics%22">Bioinformatics</searchLink><br /><searchLink fieldCode="DE" term="%22Long+QT+syndrome%22">Long QT syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+incidence%22">Disease incidence</searchLink><br /><searchLink fieldCode="DE" term="%22Sequence+analysis%22">Sequence analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+complications%22">Disease complications</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: During the past few years, the development of effective, empirical technologies for treatment of cardiac arrhythmias has exceeded the pace at which detailed knowledge of the underlying biology has accumulated. As a result, although some clinical arrhythmias can be cured with techniques such as catheter ablation, drug treatment and prediction of the risk of sudden death remain fairly primitive. The identification of key candidate genes for monogenic arrhythmia syndromes shows that to bring basic biology to the clinic is a powerful approach. Increasingly sophisticated experimental models and methods of measurement, including stem cell-based models of human cardiac arrhythmias, are being deployed to study how perturbations in several biologic pathways can result in an arrhythmia-prone heart. The biology of arrhythmia is largely quantifiable, which allows for systematic analysis that could transform treatment strategies that are often still empirical into management based on molecular evidence. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=108105635 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/S0140-6736(12)61462-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1498 Subjects: – SubjectFull: Arrhythmia Type: general – SubjectFull: Atrial fibrillation Type: general – SubjectFull: Cardiac arrest Type: general – SubjectFull: Disease susceptibility Type: general – SubjectFull: Electrocardiography Type: general – SubjectFull: Heart conduction system Type: general – SubjectFull: Research funding Type: general – SubjectFull: Phenotypes Type: general – SubjectFull: Bioinformatics Type: general – SubjectFull: Long QT syndrome Type: general – SubjectFull: Disease incidence Type: general – SubjectFull: Sequence analysis Type: general – SubjectFull: Disease complications Type: general Titles: – TitleFull: Systems biology and cardiac arrhythmias. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Grace AA – PersonEntity: Name: NameFull: Roden DM – PersonEntity: Name: NameFull: Grace, Andrew A – PersonEntity: Name: NameFull: Roden, Dan M IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 10 Text: 10/27/2012 Type: published Y: 2012 Identifiers: – Type: issn-print Value: 01406736 Numbering: – Type: volume Value: 380 – Type: issue Value: 9852 Titles: – TitleFull: Lancet Type: main |
| ResultId | 1 |
