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Direct monitoring pressure overload predicts cardiac hypertrophy in mice

dc.contributor.authorDuan, Sheng Zhongen_US
dc.contributor.authorIvashchenko, Christine Y.en_US
dc.contributor.authorWhitesall, Steven E.en_US
dc.contributor.authorD'Alecy, Louis G.en_US
dc.contributor.authorMortensen, Richard M.en_US
dc.date.accessioned2008-04-02T14:45:09Z
dc.date.available2008-04-02T14:45:09Z
dc.date.issued2007-11-01en_US
dc.identifier.citationDuan, Sheng Zhong; Ivashchenko, Christine Y; Whitesall, Steven E; D'Alecy, Louis G; Mortensen, Richard M (2007). "Direct monitoring pressure overload predicts cardiac hypertrophy in mice." Physiological Measurement. 28(11): 1329-1339. <http://hdl.handle.net/2027.42/58150>en_US
dc.identifier.issn0967-3334en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/58150
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=17978418&dopt=citationen_US
dc.description.abstractPressure overload (POL) is a classical model for studying cardiac hypertrophy, but there has been no direct measure of hemodynamics in a conscious ambulatory mouse model of POL. We used abdominal aortic constriction to produce POL and radiotelemetry to measure the blood pressure and heart rate for three weeks. The cardiac size correlated with the systolic pressure in the last week is better than other hemodynamic parameters. Cardiac fibrosis was more correlated to the cardiac size than to the systolic pressure. The expression of the cardiac genes that are typically associated with cardiac hypertrophy was correlated with both cardiac size and systolic pressure. In conclusion, the systolic pressure is the major determinant of cardiac hypertrophy in the murine POL model. In contrast, cardiac fibrosis shows the influence of other factors besides systolic pressure. The combination of the POL model with continuous direct measurements of hemodynamics represents a significant technological advance and will lead to an extended usefulness of POL methodologically.en_US
dc.format.extent3118 bytes
dc.format.extent228259 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.publisherIOP Publishing Ltden_US
dc.titleDirect monitoring pressure overload predicts cardiac hypertrophy in miceen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Molecular and Integrative Physiology, University of Michigan Medical School, 7744 Med. Sci. II, 1150 W. Med. Ctr. Dr., Ann Arbor, MI 48109-0622, USAen_US
dc.contributor.affiliationumDepartment of Molecular and Integrative Physiology, University of Michigan Medical School, 7744 Med. Sci. II, 1150 W. Med. Ctr. Dr., Ann Arbor, MI 48109-0622, USAen_US
dc.contributor.affiliationumDepartment of Molecular and Integrative Physiology, University of Michigan Medical School, 7744 Med. Sci. II, 1150 W. Med. Ctr. Dr., Ann Arbor, MI 48109-0622, USAen_US
dc.contributor.affiliationumDepartment of Molecular and Integrative Physiology, University of Michigan Medical School, 7744 Med. Sci. II, 1150 W. Med. Ctr. Dr., Ann Arbor, MI 48109-0622, USA; Department of Surgery (Vascular), University of Michigan Medical School, Ann Arbor, MI, USA; Department of Surgery, William Beaumont Hospital, Royal Oak, MI, USAen_US
dc.contributor.affiliationumDepartment of Molecular and Integrative Physiology, University of Michigan Medical School, 7744 Med. Sci. II, 1150 W. Med. Ctr. Dr., Ann Arbor, MI 48109-0622, USA; Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Internal Medicine, Metabolism Endocrinology and Diabetes Division, University of Michigan Medical School, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid17978418en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/58150/2/pm7_11_001.pdf
dc.identifier.doihttp://dx.doi.org/10.1088/0967-3334/28/11/001en_US
dc.identifier.sourcePhysiological Measurement.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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