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REGULATION OF THE HUMAN ETHER-À-GO-GO-RELATED GENE (HERG) CHANNEL BY RAB4 THROUGH NEURAL PRECURSOR CELL-EXPRESSED DEVELOPMENTALLY DOWNREGULATED PROTEIN 4-2 (NEDD4-2)Cui, Zhi 14 August 2013 (has links)
The human ether-à-go-go-related gene (hERG) encodes the pore-forming α-subunits of the Kv11.1 channel that is responsible for the cardiac rapidly activating delayed rectifier K+ current (IKr), which plays a critical role in cardiac repolarization. Dysfunction of hERG causes long QT syndrome (LQTS), a cardiac electrical disorder that can lead to severe cardiac arrhythmias and sudden death (Mitcheson et al., 2000a; Roden, 2004; Maier et al., 2006; Misner et al., 2012). The overall function of hERG channels is dependent on the channel density at the plasma membrane as well as proper channel gating. Previous work from our lab demonstrated that degradation of hERG protein in the lysosome is regulated by ubiquitin ligase Nedd4-2-mediated monoubiquitination (Sun et al., 2011; Guo et al., 2012). However, whether the internalized hERG proteins can be recycled back to the plasma membrane remains to be determined.
In the present study, we investigated the regulatory effects of various Rabs on hERG channels using Western blot analysis, co-immunoprecipitation (Co-IP), whole-cell patch clamp and immunofluorescence microscopy. The data revealed that, among hERG, human Kv1.5 (cardiac ultra-rapidly activating delayed rectifier K+ channel), and human EAG (ether-à-go-go gene) potassium channels, Rab4 selectively decreased the mature hERG protein expression on the plasma membrane. Mechanistically, Rab4 did not directly target the internalized hERG protein for recycling. Instead, Rab4 increased the expression level of the E3 ubiquitin ligase Nedd4-2 (Neural Precursor Cell-expressed Developmentally Downregulated Protein 4-2), which has been shown to mediate hERG ubiquitination and degradation (Guo et al., 2012). Nedd4-2 binding site mutations ∆1073 (binding site is removed) and Y1078A (binding site is modified) in hERG completely abolished the effect of Rab4. It has been shown that Nedd4-2 undergoes self-ubiquitination after targeting substrates (Bruce et al., 2008). My data further demonstrated that Rab4 decreased the degradation rate of Nedd4-2 and increased the rate of recycling. The increased Nedd4-2 then decreases hERG expression at the plasma membrane by targeting the PY-motif in the C-terminus of hERG channels.
In summary, the present study showed that Rab4 decreases the expression and function of hERG potassium channels on the plasma membrane through enhancing the recycling of the ubiquitin ligase Nedd4-2. / Thesis (Master, Physiology) -- Queen's University, 2013-08-09 12:11:27.938
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Genetic Diagnostics Contribute to the Risk Stratification for Major Arrhythmic Events in Pediatric Patients with Long QT Syndrome Type 1–3Burkard, Tobias, Westphal, Dominik Sebastian, Markel, Franziska, Gebauer, Roman Antonin, Hessling, Gabriele, Wolf, Cordula Maria 20 January 2024 (has links)
Long QT syndrome (LQTS) is an inherited arrhythmic disorder associated with sudden
cardiac death (SCD). This study aimed to identify the clinical and molecular genetic risk factors that
contribute to major arrhythmic events (MAEs) in patients with genetically confirmed childhood onset
LQTS 1–3. This study was a retrospective double-center study. An MAE was defined as the occurrence
of SCD, aborted SCD, appropriate implantable cardioverter defibrillator discharge, or sustained
ventricular tachycardia. During a median follow-up of 4.6 years (range 0.1–24.3 years), MAEs occurred
in 18 (17.8%) of 101 patients diagnosed with LQTS at a median of 7.7 years (range 0.0–18.0 years)
despite the use of beta-blockers in 91.6% of patients at the last follow-up. A multivariate analysis
identified a genetic diagnosis of LQTS2 and LQTS3 and variants within the KCNH2 S5-loop-S6
pore region as independent risk factors for MAEs, independent of the QTc value or a history of
syncope detected from a univariate analysis. MAEs occur frequently in childhood onset LQTS despite
beta-blocker treatment. A detailed molecular genetic diagnosis can contribute to the arrhythmia risk
stratification and optimize the use of preventive measures in this vulnerable patient population
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Engineering an Anti-arrhythmic CalmodulinWalton, Shane David 26 September 2016 (has links)
No description available.
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Implication des interactions médicamenteuses, des transporteurs membranaires, du sexe et du diabète dans les mécanismes de survenue du syndrome du QT long médicamenteuxHreiche, Raymond January 2008 (has links)
Thèse numérisée par la Division de la gestion de documents et des archives de l'Université de Montréal.
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Implication des interactions médicamenteuses, des transporteurs membranaires, du sexe et du diabète dans les mécanismes de survenue du syndrome du QT long médicamenteuxHreiche, Raymond January 2008 (has links)
Thèse numérisée par la Division de la gestion de documents et des archives de l'Université de Montréal
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The impact of Congenital Long QT Syndrome on First Nations children and youth in Northern British ColumbiaBene Watts, Simona 23 August 2020 (has links)
Background: Long QT syndrome (LQTS) is a cardiac condition which predisposes individuals to syncope, seizures, and sudden cardiac death. There is a high prevalence of congenital LQTS in a First Nations community in Northern British Columbia due to the founder variant p.V205M in the KCNQ1 gene. Additionally, two other variants of interest are present in this population: the KCNQ1 p.L353L variant, previously noted to modify the phenotype of LQTS in adults, and the CPT1A p.P479L variant, a metabolic variant common in Northern Indigenous populations associated with hypoglycemia and sudden unexpected infant death.
Methods: We performed a mixed methods study to better understand the impact of LQTS in children and youth in this First Nations community. To learn about the clinical impact of LQTS, and better understand the effects of the KCNQ1 and CPT1A variants in children, we used statistical analysis to compare the cardiac phenotypes of 211 First Nations children with and without the p.V205M, p.L353L and p.P479L variants, alone and in combination. Ordinary Least Squares linear regression was used to compare the highest peak corrected QT interval (QTc). The peak QTc is an electrocardiogram measurement used in risk stratification of LQTS patients. Logistic regression was used to compare the rates of syncope and seizures experienced in childhood.
Additionally, to learn about the lived-experience of LQTS, we interviewed one young First Nations adult about her experiences growing up with LQTS as a teenager. From this interview, we conducted a qualitative case study analysis using Interpretative Phenomenological Analysis. All research was done in partnership with the First Nations community using community-based participatory methods.
Results: We found that the p.V205M variant conferred a 22.4ms increase in peak QTc (p<0.001). No other variants or variant interaction effects were observed to have a significant impact on peak QTc. No association between the p.V205M variant and loss of consciousness (LOC) events (syncope and seizures) was observed (OR(95%CI)=1.3(0.6-2.8); p=0.531). However, children homozygous for p.P479L were found to experience 3.3 times more LOC events compared to non-carriers (OR=3.3(1.3-8.3); p=0.011). With regard to the qualitative portion of the thesis, four superordinate (main) themes emerged from the case study: Daily life with Long QT Syndrome, Interactions with Medical Professionals, Finding Reassurance, and The In-Between Age. We found that even though our participant was asymptomatic and felt that she was not impacted by LQTS in her daily life, she considered certain elements of the condition to be stressful, such as taking a daily beta-blocker.
Conclusion: These results suggest that while the KCNQ1 p.V205M variant is observed to significantly prolong the peak QTc, the CPT1A p.P479L variant is more strongly associated with LOC events in children from this community. More research is needed to further determine the effect of these variants; however, our preliminary findings suggest management strategies, such as whether beta-blockers are indicated for p.V205M carriers, may need to be reassessed. The importance of developing a holistic, well-balanced approach to medical care, taking into consideration the personal perspectives and unique medical circumstances of each child is exemplified in this study. / Graduate
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Gain-of-function mutations in SCN5A gene lead to type-3 long QT syndromeFang, Fang 04 December 2012 (has links)
No description available.
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Závislost velikosti proudu IKs kanálu srdce na stimulaci / Cardiac IKs channel: rate-dependence of the current magnitudeKachan, Ksenia January 2019 (has links)
This diploma thesis deals with study of the rate-dependence of the magnitude of a current through the heart channel that conducts slowly activating component of delayed rectifier outward current (IKs). This property is very important for the IKs channel function. When other repolarizing currents are insufficient, but also when the heart rate accelerates, especially during elevated sympathetic tone, IKs provides so-called repolarization reserve, which prevents excessive lengthening of cardiac action potential repolarization. The IKs channel structure is encoded by the KCNQ1 (pore-forming -subunit) and KCNE1 (modulatory -subunit) genes. Mutations in these genes disrupt the physiological function of the IKs channel and cause inherited arrhythmogenic syndromes, especially long QT syndrome (LQTS). Such mutations include the c.926C>T (p.T309I) mutation in the KCNQ1 gene, which results in LQTS type 1 in heterozygous carriers. The theoretical part of the thesis provides basic information about the IKs channel and the patch clamp technique, this knowledge is necessary for the practical part. The experimental part is focused on cultivation of the CHO cell line and its transient transfection for subsequent electrophysiological measurements by whole-cell patch clamp technique to study the dependence of the IKs magnitude on stimulation frequency, both in the wild type channels (i.e. without mutation) and in those with cotransfected wild type and T309I subunits.
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Prediction of the effects of drugs on cardiac activity using computer simulationsCano García, Jordi 22 March 2021 (has links)
[ES] Las enfermedades cardiovasculares siguen siendo la principal causa de muerte en Europa. Las arritmias cardíacas son una causa importante de muerte súbita, pero sus mecanismos son complejos. Esto denota la importancia de su estudio y prevención. La investigación sobre electrofisiología cardíaca ha demostrado que las anomalías eléctricas causadas por mutaciones que afectan a canales cardíacos pueden desencadenar arritmias. Sorprendentemente, se ha descubierto una gran variedad de fármacos proarrítmicos, incluidos aquellos que usamos para prevenirlas. Las indicaciones de uso de fármacos actuales intentaron solucionar este problema diseñando una prueba para identificar aquellos fármacos que podían ser peligrosos basado en el bloqueo de un solo canal iónico. El estudio de las interacciones fármaco-canal ha revelado la existencia no sólo de compuestos que bloquean múltiples canales, sino también una gran complejidad en esas interacciones. Esto podría explicar por qué algunos medicamentos pueden mostrar efectos muy diferentes en la misma enfermedad. Existen dos desafíos importantes con respecto a los efectos de los fármacos en la electrofisiología cardíaca. Por un lado, las empresas y entidades reguladoras están buscando una herramienta de alto rendimiento que mejore la detección del potencial proarrítmico durante el desarrollo de fármacos. Por otro lado, los pacientes con anomalías eléctricas a menudo requieren tratamientos personalizados más seguros. Las simulaciones computacionales contienen un poder sin precedentes para abordar fenómenos biofísicos complejos. Deberían ser de utilidad a la hora de determinar las características que definen tanto los efectos beneficiosos como no deseados de los fármacos mediante la reproducción de datos experimentales y clínicos.
En esta tesis doctoral, se han utilizado modelos computacionales y simulaciones para dar respuesta a estos dos desafíos. El estudio de los efectos de los fármacos sobre la actividad cardíaca se dividió en el estudio de su seguridad y de su eficacia, respectivamente. Para dar respuesta al primer desafío, se adoptó un enfoque más amplio y se generó un nuevo biomarcador fácil de usar para la clasificación del potencial proarrítmico de los fármacos utilizando modelos del potencial de acción de células y tejidos cardíacos humanos. Se integró el bloqueo de múltiples canales a través de IC50 y el uso de concentraciones terapéuticas con el fin de mejorar el poder predictivo. Luego, se entrenó el biomarcador cuantificando el potencial proarrítmico de 84 fármacos. Los resultados obtenidos sugieren que el biomarcador podría usarse para probar el potencial proarrítmico de nuevos fármacos. Respecto al segundo desafío, se adoptó un enfoque más específico y se buscó mejorar la terapia de pacientes con anomalías eléctricas cardíacas. Por lo tanto, se creó un modelo detallado de la mutación V411M del canal de sodio, causante del síndrome de QT largo, reproduciendo datos clínicos y experimentales. Se evaluaron los posibles efectos beneficiosos de ranolazina, a la par que se aportó información sobre los mecanismos que impulsan la efectividad de la flecainida. Los resultados obtenidos sugieren que, si bien ambos fármacos mostraron diferentes mecanismos de bloqueo de los canales de sodio, un tratamiento con ranolazina podría ser beneficioso en estos pacientes. / [CA] Les malalties cardiovasculars continuen sent la principal causa de mort a Europa. Les arrítmies cardíaques són una causa important de mort sobtada, però els seus mecanismes són complexos. Això denota la importància del seu estudi i prevenció. La investigació sobre electrofisiologia cardíaca ha demostrat que les anomalies elèctriques que afecten a canals cardiacs poden desencadenar arrítmies. Sorprenentment, s'ha descobert una gran varietat de fàrmacs proarrítmics, inclosos aquells que utilitzem per a previndre-les. Les indicacions d'ús de fàrmacs actuals van intentar solucionar aquest problema dissenyant una prova per a identificar aquells fàrmacs que podien ser perillosos basada en el bloqueig d'un sol canal iònic. L'estudi de les interaccions fàrmac-canal ha revelat l'existència no sols de compostos que bloquegen múltiples canals, sinó també una gran complexitat en aquestes interaccions. Això podria explicar per què alguns medicaments poden mostrar efectes molt diferents en la mateixa malaltia. Existeixen dos desafiaments importants respecte als efectes dels fàrmacs en la electrofisiologia cardíaca. D'una banda, les empreses i entitats reguladores estan buscant una eina d'alt rendiment que millore la detecció del potencial proarrítmic durant el desenvolupament de fàrmacs. D'altra banda, els pacients amb anomalies elèctriques sovint requereixen tractaments personalitzats més segurs. Les simulacions computacionals contenen un poder sense precedents per a abordar fenòmens biofísics complexos. Haurien de ser d'utilitat a l'hora de determinar les característiques que defineixen tant els efectes beneficiosos com no desitjats dels fàrmacs mitjançant la reproducció de dades experimentals i clíniques.
En aquesta tesi doctoral, s'han utilitzat models computacionals i simulacions per a donar resposta a aquests dos desafiaments. L'estudi dels efectes dels fàrmacs sobre l'activitat cardíaca es va dividir en l'estudi de la seva seguretat i la seva eficacia. Per a donar resposta al primer desafiament, es va adoptar un enfocament més ampli i es va generar un nou biomarcador fàcil d'usar per a la classificació del potencial proarrítmic dels fàrmacs utilitzant models del potencial d'acció de cèl·lules i teixits cardíacs humans. Es va integrar el bloqueig de múltiples canals a través d'IC50 i l'ús de concentracions terapèutiques amb la finalitat de millorar el poder predictiu. Després, es va entrenar el biomarcador quantificant el potencial proarrítmic de 84 fàrmacs. Els resultats obtinguts suggereixen que el biomarcador podria usar-se per a provar el potencial proarrítmic de nous fàrmacs. Respecte al segon desafiament, es va adoptar un enfocament més específic i es va buscar millorar la teràpia de pacients amb anomalies elèctriques cardíaques. Per tant, es va crear un model detallat de la mutació V411M del canal de sodi, causant de la síndrome de QT llarg, reproduint dades clíniques i experimentals. Es van avaluar els possibles efectes beneficiosos de ranolazina, a l'una que es va aportar informació sobre els mecanismes que impulsen l'efectivitat de la flecainida. Els resultats obtinguts suggereixen que, si bé tots dos fàrmacs van mostrar diferents mecanismes de bloqueig dels canals de sodi, un tractament amb ranolazina podria ser beneficiós en aquests pacients. / [EN] Cardiovascular disease remains the main cause of death in Europe. Cardiac arrhythmias are an important cause of sudden death, but their mechanisms are complex. This denotes the importance of their study and prevention. Research on cardiac electrophysiology has shown that electrical abnormalities caused by mutations in cardiac channels can trigger arrhythmias. Surprisingly, a wide variety of drugs have also shown proarrhythmic potential, including those that we use to prevent arrhythmia. Current guidelines designed a test to identify dangerous drugs by assessing their blocking power on a single ion channel to address this situation. Study of drug-channel interactions has revealed not only compounds that block multiple channels but also a great complexity in those interactions. This could explain why similar drugs can show vastly different effects in some diseases. There are two important challenges regarding the effects of drugs on cardiac electrophysiology. On the one hand, companies and regulators are in search of a high throughput tool that improves proarrhythmic potential detection during drug development. On the other hand, patients with electrical abnormalities often require safer personalized treatments owing to their condition. Computer simulations provide an unprecedented power to tackle complex biophysical phenomena. They should prove useful determining the characteristics that define the drugs' beneficial and unwanted effects by reproducing experimental and clinical observations.
In this PhD thesis, we used computational models and simulations to address the two abovementioned challenges. We split the study of drug effects on the cardiac activity into the study of their safety and efficacy, respectively. For the former, we took a wider approach and generated a new easy-to-use biomarker for proarrhythmic potential classification using cardiac cell and tissue human action potential models. We integrated multiple channel block through IC50s and therapeutic concentrations to improve its predictive power. Then, we quantified the proarrhythmic potential of 84 drugs to train the biomarker. Our results suggest that it could be used to test the proarrhythmic potential of new drugs. For the second challenge, we took a more specific approach and sought to improve the therapy of patients with cardiac electrical abnormalities. Therefore, we created a detailed model for the long QT syndrome-causing V411M mutation of the sodium channel reproducing clinical and experimental data. We tested the potential benefits of ranolazine, while giving insights into the mechanisms that drive flecainide's effectiveness. Our results suggest that while both drugs showed different mechanisms of sodium channel block, ranolazine could prove beneficial in these patients. / This PhD thesis was developed within the following projects: Ministerio de Economía y Competitividad and Fondo Europeo de Desarrollo Regional (FEDER) DPI2015-69125-R (MINECO/FEDER, UE): Simulación computacional para la predicción personalizada de los efectos de los fármacos sobre la actividad cardiaca. Dirección General de Política Científica de la Generalitat Valenciana (PROMETEU2016/088): “Modelos computacionales personalizados multiescala para la optimización del diagnóstico y tratamiento de arritmias cardiacas (personalised digital heart). Vicerrectorado de Investigación, Innovación y Transferencia de la Universitat Politècnica de València, Ayuda a Primeros Proyectos de Investigación (PAID-06-18), and by Memorial Nacho Barberá. Instituto de Salud Carlos III (La Fe Biobank PT17/0015/0043). / Cano García, J. (2021). Prediction of the effects of drugs on cardiac activity using computer simulations [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/164094
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