LEADER 04899nam 22008415 450 001 9910300376003321 005 20200702114813.0 010 $a3-319-07200-5 024 7 $a10.1007/978-3-319-07200-5 035 $a(CKB)3710000000129262 035 $a(EBL)1783023 035 $a(SSID)ssj0001276754 035 $a(PQKBManifestationID)11708528 035 $a(PQKBTitleCode)TC0001276754 035 $a(PQKBWorkID)11246997 035 $a(PQKB)10668831 035 $a(MiAaPQ)EBC1783023 035 $a(DE-He213)978-3-319-07200-5 035 $a(PPN)17976814X 035 $a(EXLCZ)993710000000129262 100 $a20140611d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aModelling the Short QT Syndrome Gene Mutations $eAnd Their Role in Cardiac Arrhythmogenesis /$fby Ismail Adeniran 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (228 p.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $aDescription based upon print version of record. 311 $a1-322-13637-8 311 $a3-319-07199-8 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIon Channels and the Action Potential -- Potassium Channels Implicated in the Short QT Syndrome -- The Short QT Syndrome -- Model Development -- Methods, Experimental Protocols and Mathematical Preliminaries -- Increased Vulnerability of the Human Ventricle to Re-entrant Excitation in HERG-linked SQT1 -- Mathematically Modelling the Functional Consequences of the SQT2 Mutation -- Proarrhythmia in KCNJ2-linked Short QT Syndrome: Insights from Modelling -- Relationship between Electrical and Mechanical Systole in the Short QT Syndrome: Insights from Modelling -- Discussion and Conclusion. 330 $aThe Short QT Syndrome (SQTS) is characterized by abbreviated QT intervals on the electrocardiogram, increased risk of cardiac arrhythmias and sudden death. Although several gene mutations have been identified in SQT patients, the role of these mutations in promoting arrhythmogenesis is still not completely understood. Consequently, this thesis employs multidisciplinary approaches to develop a 3D virtual heart, which is then used to elucidate how the short QT syndrome facilitates and maintains ventricular arrhythmias and to determine its effects on ventricular mechanical contraction. The findings in this thesis provide a comprehensive and mechanistic explanation for a number of gene mutations associated with potassium channels in terms of susceptibility to arrhythmia. The multiphysics models developed provide a powerful platform for identifying the root causes of various arrhythmias and investigating therapeutic interventions for these diseases.  The thesis was examined by Prof. Chris Huang of the University of Cambridge, the most authoritative figure in cardiac electrophysiology, who has described the work as ?outstanding.?. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aSystems biology 606 $aBiological systems 606 $aCell membranes  606 $aStatistical physics 606 $aDynamical systems 606 $aCardiology 606 $aPhysics 606 $aSystems Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/P27050 606 $aMembrane Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L16050 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000 606 $aCardiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H33037 606 $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021 606 $aStatistical Physics and Dynamical Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P19090 615 0$aSystems biology. 615 0$aBiological systems. 615 0$aCell membranes . 615 0$aStatistical physics. 615 0$aDynamical systems. 615 0$aCardiology. 615 0$aPhysics. 615 14$aSystems Biology. 615 24$aMembrane Biology. 615 24$aComplex Systems. 615 24$aCardiology. 615 24$aNumerical and Computational Physics, Simulation. 615 24$aStatistical Physics and Dynamical Systems. 676 $a616.12075 700 $aAdeniran$b Ismail$4aut$4http://id.loc.gov/vocabulary/relators/aut$0791860 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300376003321 996 $aModelling the Short QT Syndrome Gene Mutations$91770509 997 $aUNINA