Podcasts about kcnh2

Welcome to PICU Doc On Call, A Podcast Dedicated to Current and Aspiring Intensivists. I'm Pradip Kamat coming to you from Children's Healthcare of Atlanta/Emory University School of Medicine. I'm Rahul Damania from Cleveland Clinic Children's Hospital and we are two Pediatric ICU physicians passionate about all things MED-ED in the PICU. PICU Doc on Call focuses on interesting PICU cases & management in the acute care pediatric setting so let's get into our episode: Here's the case presented by Rahul: A 21-month-old girl was brought to an OSH ED for somnolence and difficulty breathing, which developed after she accidentally ingested an unknown amount of liquid medicine that was used by her grandfather. Per the mother, the patient's grandfather was given the liquid medication for the treatment of his opioid addiction. The patient took some unknown amount from the open bottle that was left on the counter by the grandfather. Immediately after ingestion of the medicine, the patient initially became irritable and had some generalized pruritus. The patient subsequently became sleepy followed by difficulty breathing and her lips turned grey. The patient was rushed to an outside hospital ED for evaluation. OSH ED: The patient arrived unresponsive and blue, she was noted to be sleepy and difficult to arouse on arrival, with pinpoint pupils and hypoxic to 88%. , but After receiving Naloxone, however, she became awake and interactive. Her glucose on presentation was 58 mg/dL and Her initial VBG resulted 7.3/49.6/+2. She continued to have intermittent episodes of somnolence without apnea. Poison control called and recommend starting a naloxone infusion; she was also given dextrose bolus. The patient was admitted to the PICU. To summarize key elements from this case, this patient has: Accidental ingestion of an unknown medication Altered mental status Difficulty breathing—with grey lips suggestive of hypoventilation/hypoxia All of which brings up a concern for a toxidrome which is our topic of discussion for today The typical symptoms seen in our patient of pinpoint pupils, respiratory depression, and a decreased level of consciousness is known as the “opioid overdose triad” Given the history of opioid addiction in the grandfather, the liquid medicine given to him is most likely methadone.In fact, in this case, the mother brought the bottle of medicine, which was subsequently confirmed to be prescription methadone given to prevent opioid withdrawal in the grandfather.   To dive deeper into this episode, let's start with a multiple choice question: Which of the following opioids carries the greatest risk of QTc prolongation? A. Methadone B. Morphine C. Fentanyl D. Dilaudid The correct answer is methadone. Methadone prolongs QT interval due to its interactions with the cardiac potassium channel (KCNH2) and increases the risk for Torsades in a dose-dependent manner. Besides the effect on cardiac repolarization, methadone is also associated with the development of bradycardia mediated via its anticholinesterase properties and through its action as a calcium channel antagonist. Hypokalemia, hypocalcemia, hypomagnesemia, and concomitant use of other drugs belonging to the family of CYP3A4 system inhibitors such as erythromycin can prolong Qtc. Even in absence of these risk factors, methadone alone can prolong QTc.   Thanks for that, I think it is very important to involve your Pediatric Pharmacy team to also help with management as children may be concurrent qt prolonging meds. Rahul, what are some of the pharmacological and clinical features of methadone poisoning? Methadone is a synthetic opioid analgesic made of a racemic mixture of two enantiomers d-methadone and l-methadone. besides its action on mu and kappa receptors, it is also an NMDA receptor antagonist. Due to its long action, methadone is useful as an analgesic and to suppress opioid withdrawal symptoms (hence used for opioid...

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.09.11.293266v1?rss=1 Authors: Khan, H. M., Guo, J., Duff, H. J., Tieleman, D. P., Noskov, S. Y. Abstract: The human ether-a-go-go-related gene (hERG) encodes the voltage gated potassium channel (KCNH2 or Kv11.1, commonly known as hERG). This channel plays a pivotal role in the stability of phase 3 repolarization of the cardiac action potential. Although a high-resolution cryo-EM structure is available for its depolarized (open) state, the structure surprisingly did not feature many functionally important interactions established by previous biochemical and electrophysiology experiments. Using Molecular Dynamics Flexible Fitting (MDFF), we refined the structure and recovered the missing functionally relevant salt bridges in hERG in its depolarized state. We also performed electrophysiology experiments to confirm the functional relevance of a novel salt bridge predicted by our refinement protocol. Our work shows how refinement of a high-resolution cryo-EM structure helps to bridge the existing gap between the structure and function in the voltage-sensing domain (VSD) of hERG. Copy rights belong to original authors. Visit the link for more info

Dr Carolyn Lam: Welcome to Circulation on the Run, your weekly podcast summary and backstage pass to the Journal and its editors. I'm Dr Carolyn Lam, associate editor from the National Heart Center and Duke National University of Singapore. Dr Greg Hundley: And I'm Dr Greg Hundley, associate editor, director of the Pauley Heart Center at VCU Health in Richmond, Virginia. Well, Carolyn, our feature article this week relates to an international multi-center evidence-based reappraisal of genes reported to cause congenital long QT syndrome. But, before we get to that, how about if we grab a cup of coffee and start on our other papers? Do you have one you'd like to discuss? Dr Carolyn Lam: Yes. My favorite part of the week. So this first paper really asks the question, "What's the association between HDL functional characteristics, as opposed to HDL cholesterol levels, and acute coronary syndrome?" The paper comes from Dr Hernáez from IDIBAPS in Barcelona, Spain and colleagues who conducted a case control study nested within the PREDIMED cohort. Originally a randomized trial where participants followed a Mediterranean or low-fat diet. Cases of incident acute coronary syndrome were individually matched one is to two to controls by sex, age, intervention group, body mass index, and follow-up time. The authors measure it the following functional characteristics, which were HDL cholesterol concentration, cholesterol efflux capacity, antioxidant ability, phospholipase A2 activity and sphingosine-1-phosphate, apolipoproteins A1 and A4, serum amyloid A and complement 3 protein. Dr Greg Hundley: Wow Carolyn, a detailed analysis. What did they find? Dr Carolyn Lam: They found that low values of cholesterol efflux capacity, and levels of sphingosine-1-phosphate and apolipoprotein A1 in HDL or all associated with a higher risk of acute coronary syndrome in high cardiovascular risk individuals, irrespective of HDL cholesterol levels and other cardiovascular risk factors. Low cholesterol efflux capacity values and sphingo-1-phosphate levels were particularly associated with an increased risk of myocardial infarction, whereas HDL antioxidant or anti-inflammatory capacity was inversely related to unstable angina. Now this is significant because it's the first longitudinal study to comprehensively examine the association of several HDL function related biomarkers with incident acute coronary syndrome beyond HDL cholesterol levels in a high-risk cardiovascular risk population. Greg Hundley: Very nice. Carolyn. It sounds like function over just the levels is important. Dr Carolyn Lam: Exactly, you summarized it well. Well Greg, I've got another paper and I want to pick your brain first. Is it your impression that type 2 myocardial infarction, the type that occurs due to acute imbalance in myocardial oxygen supply versus demand in the absence of atherothrombosis, do you think that this type of MI is on the rise? It seems more and more common in my country. Dr Greg Hundley: Do we want to say it's on the rise? Certainly by measuring all these high sensitivity troponins, et cetera, we're finding, I think, more evidence of type 2 MI. So, all in all, yeah it probably is on the rise, but likely related to some of our measurement techniques. Dr Carolyn Lam: Oh, you are so smart, Greg. Because this paper that I'm about to tell you about really addresses some of these issues and it's from corresponding author Dr Gulati from Mayo Clinic in Rochester, Minnesota. And they really start by acknowledging that despite being frequently encountered in clinical practice, the population base incidents and trends of type 2 myocardial infarction is unknown and long-term outcomes are incompletely characterized. So they prospectively recruited 5,640 residents of Olmsted County, Minnesota who experienced an event associated with cardiac troponin T greater than 99th percentile of a normal reference population, which is greater than or equal to 0.01 nanograms per milliliter. And this was between 2003 and 2012, so very careful to talk about which Troponin T assay exactly to the point you discussed earlier, Greg. The events were retrospectively classified into type 1 versus type 2 MI using the universal definition. Dr Greg Hundley: So Carolyn, what did they find? Dr Carolyn Lam: They found that there was an evolution in the types of MI occurring in the community over a decade with the incidence of type 2 MI now being similar to type 1 MI. Adjusted long-term mortality following type 2 MI is markedly higher than after type 1 MI and that's driven by early and non-cardiovascular deaths. Mortality of type 2 MI is associated with a provoking factor and is more favorable when the principle provoking mechanism was an arrhythmia compared with postoperative status, hypotension, anemia or hypoxia. And these findings really underscore the healthcare burden of type 2 MI and provide benchmarks for clinical trial design. Dr Greg Hundley: Very nice, Carolyn. Well, my paper comes from type 5 long QT syndromes and an analysis. And it's from Dr Jason Roberts from Western University. Through an international, multi-center collaboration, improved understanding of the clinical phenotype and genetic features associated with rare KCNE1 variants implicated in long QT 5 was sought across 22 genetic arrhythmia clinics and four registries from nine countries that included 229 subjects with autosomal dominant long QT five. So there were 229 of those subjects. And then 19 individuals with the recessive type 2 Jervell and Lang-Nielsen syndrome. The authors compared the effects of clinical and genetic predictors on a composite primary outcome of definite arrhythmic events, including appropriate implantable cardioverter defibrillators shocks, aborted cardiac arrest, and sudden cardiac death. Dr Carolyn Lam: Wow. What did they find? Dr Greg Hundley: Well, several things, Carolyn. First, rare loss of function KCNE1 variants are weakly penetrant and do not manifest with a long QT syndrome phenotype in a majority of individuals. That's a little bit of a surprise. Second, QT prolongation and arrhythmic risk associated with type 2 Jervell and Lang-Nielsen syndrome is mild in comparison with the more malignant phenotype observed for type 1 Jervell and Lang-Nielsen syndrome. And then number three, all individuals possessing a rare loss of function KCNE1 variant should be counseled to avoid QT prolonging medications and should undergo a meticulous clinical evaluation to screen for long QTS phenotype. And then finally, Carolyn, the last finding, in the absence of a long QTS phenotype, more intensive measures, such as beta blockade and exercise restriction, may not be merited. Dr Carolyn Lam: Oh, very interesting. Well, I've got one more original paper and in this, authors describe a new cellular mechanism linking ischemia-reperfusion injury to the development of donor specific antibody, a pathologic feature of chronic antibody-mediated rejection, which mediates late graph loss. This paper is from corresponding author Dr Jane Witt from Yale University School of Medicine and colleagues who use humanized models and patient specimens to show that ischemia-reperfusion injury promoted elaboration of interleukin 18 from endothelial cells to selectively expand alloreactive interleukin 18 receptor 1 positive T peripheral helper cells in allograph tissues and this promoted donor specific antibody formation. Dr Greg Hundley: Carolyn, here's the famous question. What does that mean clinically for us? Dr Carolyn Lam: Aha, I'm prepared. Therapies targeted against endothelial cell derived factors like interleukin 18 may therefore block late complications of ischemia-reperfusion injury. Dr Greg Hundley: Very nice. Sounds like more research to come. Well, how about other articles in the issue? Dr Carolyn Lam: Well, I'd love to talk about a white paper from Dr Al-Khatib, and it's about the research needs and priorities for catheter ablation of atrial fibrillation and this is a report from the National Heart, Lung, and Blood Institute Virtual Workshop. Dr Greg Hundley: Well, I've got another arrhythmia paper, so this is from Professor Michael Ackerman at the Mayo Clinic and its minor long QT gene disease associations by coupling the genome aggregation database. It's a harmonized database of 140,000 or more exomes and genome derived in part from population-based sequencing projects, with phenotypic insights gleaned from a large long QT syndrome registry to reassess the strength of these minor long QT syndrome gene disease associations. Next, Carolyn, in an on my mind piece, Professor Gerd Heusch from University of Essen Medical School discusses, how can the many positive preclinical and clinical proof of concept studies on reduced infarct size by ischemic conditioning interventions and cardioprotective drugs be reconciled with the mostly neutral results in regard to clinical outcomes. The author discusses the important differences between animal models that have been used a lot in this ischemia reperfusion and infarct size reduction science, and then the clinical scenarios of STEMI in humans as well as the many aspects of coronary reperfusion. How is that affecting the myocytes? How is that affecting the microcirculation, et cetera, that must be addressed? And then finally Carolyn, there is a series of letters, one from Professor Oliver Weingärtner from Universitätsklinikum Jena and another from Professor Yasuyoshi Ouchi from Toranomon Hospital. They're exchanging letters debating the utility of lipid lowering with Ezetimibe in individuals over the age of 75 years. Dr Carolyn Lam: Very nice, Greg. Thanks so much. Shall we now move to our future discussion. Dr Greg Hundley: You bet. Well, welcome everyone. This is our feature discussion and today we're going to hear more about long QT syndrome. We have Dr Michael Gollob from University of Toronto and our own associate editor, Dr Sami Viskin from Tel Aviv Medical Center. Good morning. Good afternoon, gentlemen. Before we get started with a discussion of some of the study findings and results, Michael, could you tell us a little bit about why you performed the study and what were some of the hypotheses you wanted to test? Dr Michael Gollob: As you know, long QT syndrome is probably the most recognized channelopathy associated with sudden cardiac death in young individuals and adults. And at the present time, there are 17 genes available for clinical genetic testing in cases of suspected long QT syndrome. We simply ask the question, "Is there sufficient scientific evidence to support that each of these genes are single gene causes of long QT syndrome based on our contemporary knowledge of genetics and the human genome? Dr Greg Hundley: Great, Michael. So, can you tell us a little bit about your study population? How did you go about this and what was your study design? Dr Michael Gollob: We designed a methods approach that would assure that any conclusions that were made from our working group were not based on the opinions of one or two individuals. We wanted to ensure that this was a consensus conclusion with multiple experts in the field including genomic scientists, genetic counselors, inherited arrhythmia experts, and researchers in the field. We created three independent teams of genetic experts to curate the genetic evidence reported in the medical literature for each of these 17 reported causes of long QT syndrome. This was essentially an evidence-based approach using a pre-specified evidence-based matrix or scoring system depending on the level of evidence, genetic primarily, in the reported literature for each gene. Each of these curation teams worked independently of each other and they were blinded to each other's work and they were tasked with concluding whether a gene, based on the medical literature and the resource methodologies, had sufficient evidence for disease causation. Their classifications would be one of disputed evidence, limited evidence, moderate evidence, strong or definitive evidence for claims towards disease causation. Remarkably, independently, all of these teams reached the same conclusion. In the end, their summary data was reviewed by a clinical domain expert panel with individuals with expertise, particularly in long QT syndrome and other channelopathies. So in total 19 individuals reviewed all of the literature and the data presented and came to unanimous conclusions for each gene. Dr Greg Hundley: Out of the 17, were there some that were more important than others or was it uniformly all 17 were relevant? Dr Michael Gollob: Well, I think the most relevant conclusions of our study are that nine of these genes, more than half of these genes, were felt not to have sufficient evidence to support their causation as a single gene cause for typical long QT syndrome. So nine genes that are currently tested by clinical genetic testing providers do not have enough evidence to support their testing in patients with suspected long QT. And to us, that is the most relevant observation because testing genes that do not have sufficient evidence for disease causation poses a significant risk to patient harm and family harm. We concluded that only three genes had very definitive evidence for causation of long QT syndrome. Those three genes were KCNQ1, KCNH2, and SCN5A. There were another four genes that were concluded to have strong or definitive evidence for unusual presentations of long QT syndrome. And by that, I mean presentations that typically occur in the neonatal period and are associated with heart block seizures or developmental delay or in the case of one of these genes, Triadin, an autosomal recessive form of the disease. Dr Greg Hundley: So helping us perhaps what types of genes to screen for when we have someone with this condition or suspected. So Sami, can you help us put this into perspective? How does this study help us in management of this clinical situation. Dr Sami Viskin: In Circulation, we immediately recognize the importance of the manuscript, the importance of the study because unfortunately, there are too many physicians all over who will accept the results of genetic testing essentially like gospel. Now it's in the DNA, it's in the genes, so whatever you find must be true. And too often, clinical decisions on treatment including ICD implantation have been undertaken based on results of genetic testing’s; thus are wrongly interpreted. So we recognize immediately the importance of this paper. We already had a different study by Dr Gollob and his associates. Again, reassessing the role of genes in Brugada syndrome. So we were familiar with this type of analysis. We recognize the importance and we moved ahead to accept this paper, it went fairly easily, I think only one revision. At the same time, we were getting additional paper by other groups. So in the same issue, we have two more papers, one from Jason Roberts with the International Long QT Registry of long QT 5, reaching similar conclusions that this is a gene with very limited penetrants and another study by the Mayo clinic also showing that many of the genes who are not the major genes are overrepresented in the healthy population. So we put all these three papers together with a very nice editorial by Chris Semsarian in the same issue. So everything is put in the right perspective of how we should be looking at all the genes of these disease in a different way. Dr Greg Hundley: So as a clinician quickly, how can I use this information in the issue, perhaps this paper and all three, in management of patients with either suspected or long QT syndrome? Dr Michael Gollob: First off, I would emphasize that the diagnosis of long QT syndrome or any genetic base disease for that matter, should be based on clinical phenotype and not the observation of a genetic change, particularly if genes are being tested that do not have strong evidence for disease causation, as is the case for the nine genes that we've pointed out in this manuscript. So I think clinicians need to be wary of the genetic testing panels that they are requesting be screened or used in the assessment of their patients and be knowledgeable that at this point in time, we really only have three genes with very strong evidence to support disease causation of the typical form of long QT syndrome. And that for the most part, these other genes should not be tested or should only remain in the realm of research. I think that responsibility extends further than just the clinician taking care of the patient, but also clinical genetic testing providers, companies that offer these genetic testing services. I think they should assume a responsibility to ensure that they are only offering services for genes that have strong evidence for disease causation because when they report results in genes that are not valid for the disease, that only confuses the care of the patient and that creates a risk of harm to them if that information is misinterpreted by a physician. As Dr Viskin or Sami pointed out, we do see patients who are inappropriately diagnosed. We remove the diagnosis of roughly 10 to 20% of cases in our own clinic. And unfortunately, many of these patients and their families have suffered undue anxiety. Some of them have ICDs in place that should not have been there. So I think overall, the field needs to be aware of what genes are relevant and what genes still are within the realm of research. Dr Greg Hundley: Can you tell us just quickly Michael and then also Sami, what do you see as the next study in this field? Dr Michael Gollob: We're taking a step back now. The first decade of this century saw an exponential growth in reported gene disease associations. And now in the last five or six years, we've learned a lot about human genetic variation, which has provided us an opportunity to reflect back on some of these previous and reported genes as causes for long QT and other diseases. So I think many individuals in our field may say, "Well, you know, this is disappointing. We believed in these genes. We really thought these genes were causes of long QT." And to that point I would say, we need more research. If you believe in some of these genes that have now been considered to have limited or disputed evidence, research should continue if these remain plausible candidates for the disease. So I think future research has to continue. There are probably still a few other genes that have not yet been discovered. I think we've got the vast majority. I think in most cases, at least in our experience, 90 to 95% of cases are explained by the top three genes. But there are probably other genes out there and it's always fascinating to learn or discover new genes, but those sorts of studies have to be done with the correct methodologies and rigid protocols. Lastly, I think in the future us clinicians and geneticists and genetic counselors need to work closely with genetic testing providers to ensure that they are offering responsible genetic testing services. Dr Greg Hundley: Sami, do you have anything to add? Dr Sami Viskin: Just congratulate the authors. I think they did a very great service to the medical community by pointing out the limitations of the genetic testing and the way we interpret the results, and they deserve to be applauded for reminding us that we have to be careful when we read papers about genetic results or when we get genetic testing results ourselves. Dr Greg Hundley: I want to thank Michael from University of Toronto and Sami from Tel Aviv Medical Center for participating. And on behalf of both Carolyn and myself, wish you all a great week and look forward to chatting with you next week. This program is copyright, the American Heart Association 2020.  

Dr Carolyn Lam:                Welcome to Circulation on the Run, your weekly podcast summary and backstage pass to the journal and its editors. I'm Dr Carolyn Lam, Associate Editor from the National Heart Center and Duke National University of Singapore.                                                 Is there a unique lipoprotein profile for incident peripheral artery disease as opposed to coronary or cerebral vascular disease? Well, you're just gonna have to wait for our feature discussion to find out. That's coming right up after these summaries.                                                 Our first original paper this week tells us that gene variance known to be associated with idiopathic and peripartum cardiomyopathy are also associated with preeclampsia. First and corresponding author Dr Gammill from University of Washington and colleagues studied 181 participants with confirmed preeclampsia from the Preeclampsia Registry in BioBank. Saliva samples were collected for DNA isolation and whole exome sequencing was performed to detect rare variants in 43 genes known to be associated with cardiomyopathy.                                                 Results were compared with data from two controlled groups, unrelated women with a gynecological disorder, sequence using the same methods and instruments, as well as published variant data from 33,000 subjects in the Exome Aggregation Consortium.                                                 The results showed that women who developed preeclampsia are more likely to carry protein altering mutations in genes associated with cardiomyopathy, particularly, the TTN gene which encodes the sarcomeric protein titin. Thus, detecting these gene variants may allow more specific diagnosis, classification, counseling and management of women at risk.                                                 Prior trials have shown that nonsteroidal anti-inflammatory drugs or NSAIDS confer cardiovascular risk. Now this has been postulated to be due to enhanced formation of methyl arginines in the kidney that would limit the action of nitric oxide throughout the vasculature. However, the next original paper in this week's journal suggests that this may not be correct. First author, Dr Ricciotti, corresponding author, Dr FitzGerald from University of Pennsylvania Perelman School of Medicine and colleagues, used multiple genetic and pharmacological approaches to disrupt the COX 2 pathway in mice and analyze plasma from patients taking NSAIDS.                                                 However, they did not observe an increase in methyl arginines. In contrast, they did observe an increase in plasma asymmetric dimethylarginine or EDMA in mice-rendered hypertensive by infusion of angiotensin II at a dose that also caused renal impairment. After a four week washout period following the infusion of angiotensin II, blood pressure, creatinine, and ADMA levels all fell back to normal levels.                                                 Celecoxib-treated mice also exhibited increased ADMA and plasma creatinine in response to infusion of angiotensin II and their levels also returned to normal thereafter. Thus, it seems likely that the previous reported elevations in ADMA reflected renal dysfunction rather than a direct consequence of COX 2 deletion or inhibition. The authors end by suggesting that the most plausible mechanism by which NSAIDS confer a cardiovascular risk, is by suppression of COX 2 derived cardioprotective prostaglandins such as Prostacyclin rather than by enhanced formation of methyl arginines.                                                 The next original paper identifies new targets with the potential to prevent vascular malformations in patients with hereditary hemorrhagic telangiectasia. Co-corresponding authors, Dr Ola and Eichmann from Yale University School of Medicine and colleagues looked at SMAD4, which is a downstream effector of transforming growth factor-beta/bone morphogenetic protein family ligands that signal via activin-like kinase receptors.                                                 The authors generated a tamoxifen inducible postnatal endo-fetal specific SMAD for a mutant mouse and showed that SMAD4 prevented flow-induced arterial venous malformations by inhibiting casein kinase II. The uncovered pathways provided novel targets for the treatment of vascular lesions in hereditary hemorrhagic telangiectasia related juvenile polyposis patients carrying SMAD4 mutations.                                                 The next original paper provides important data for the accurate diagnosis of long QT syndrome. Long QT syndrome can be a challenging diagnosis partly because the optimal method for QT assessment is not unequivocally established. QT experts advocate manual measurements with a tangent or threshold method.                                                 In today's paper, first and corresponding author, Dr Vink from Academic Medical Center University of Amsterdam and colleagues, aimed to assess similarities and differences between these two methods of QT interval analysis among 1,484 patients with a confirmed pathogenic variant in either KCNQ1, KCNH2 or SNC5A genes from 265 families. Both QT measurement methods yielded a high inter and intra reader validity and a high diagnostic accuracy.                                                 Using the same current guideline cutoff of QTC interval 480 milliseconds, both methods had similar specificity but yielded a different sensitivity. QTC interval cutoff values for the QT measured by the tangent method was lower compared to that measured by the threshold method. Plus, values were different depending on the correction for heart rate, age, and sex.                                                 The authors provided an adjusted cutoff values specified for method, correction formula, age, and sex. In addition, a freely accessible online probability calculator for long QT syndrome at www.QTcalculator.org has been made available as an aid in the interpretation of the QT interval.                                                 The next original paper demonstrates for the first time that thrombin mediated signaling may play a role in diet-induced atherogenesis. Co-first authors, Dr Raghavan and Singh, corresponding author Dr Rao from University of Tennessee Health Science Center and colleagues, used a mouse model of diet-induced atherosclerosis and molecular biological approaches and explored the role of thrombin and its G protein coupled receptor signaling in diet-induced atherosclerosis.                                                 They found that thrombin-induced CD36 expression and foam cell formation required protease activated receptor 1, G alpha 12, Pyk2, GAB 1, and protein kinase C theta dependent activating transcription factor 2 activation. Thus, inhibition of thrombin G protein coupled receptor signaling could be a promising target for the development of new drugs in reducing the risk of diet-induced atherogenesis.                                                 The next study provides insights into the long- term association of LDL cholesterol with coronary heart disease mortality in individuals at low tenure risks of atherosclerotic cardiovascular disease. First and corresponding author, Dr Abdullah, from VA North Texas Medical Center and UT Southwestern Medical Center and colleagues studied more than 36,000 subjects in the Cooper Clinic Longitudinal Study cohort who are at low tenure estimated risk of atherosclerotic cardiovascular disease. In other words, a low tenure risk of less than 7.5%. They've followed these patients for more than two decades.                                                 Results showed that LDL cholesterol and non-HDL cholesterol at or above 160 milligrams per deciliter were independently associated with a 50 to 80% increased relative risk of cardiovascular disease mortality. The associations between LDL cholesterol and cardiovascular disease mortality were more robust when follow up was extended beyond the traditional 10 year estimated risk period.                                                 The associations remain significant in those with an estimated tenure atherosclerotic cardiovascular disease risk of less than 5%. These data suggests that LDL cholesterol levels at or above 160 milligrams per deciliter in individuals deemed to be at low tenure atherosclerotic cardiovascular risk are associated with worse long term cardiovascular disease mortality. These findings, along with other observational data and data extrapolated from clinical trials, support further consideration of appropriate LDL cholesterol thresholds for lipid lowering interventions in individuals categorized as low short-term risk.                                                 The final paper this week uncovers a novel therapeutic target for the prevention and treatment of thoracic aortic aneurysms. First author, Dr Nogi, corresponding author Dr Shimokawa from Tohoku University Graduate School of Medicine and colleagues, used genetically modified mice to show a pathogenic role of the small GTP binding protein, GDP dissociation stimulator in the development of angiotensin 2 induced thoracic aortic aneurysms and dissection. Down regulation of this protein contributed to dysfunction of aortic smooth muscle cells and hence oxidative stress, and matrix metalloproteinase activities in the pathogenesis of thoracic aortic aneurysms and dissection.                                                 Local over expression of this small GTB binding protein GDP dissociation stimulator around the thoracic aorta inhibited aortic dilatation and rupture in deficient mice. And that wraps it up for this week's summaries. Now for our feature discussion.                                                 Atherosclerosis has been considered a systemic process, meaning that when we see a disease in one vascular bed, we assume that that's a risk marker for disease in other vascular territories, and that they share pathophysiology, they share risk factors. However, if we think about it, the prior studies have all been sort of focusing on coronary and cerebral vascular disease, but today's feature paper changes that a bit because it addresses a key knowledge gap in peripheral artery disease risk, and interestingly suggests that there may be a unique lipid profile that's related to peripheral artery disease.                                                 This is gonna be an exciting discussion and I have the first author, Dr Aaron Aday from Vanderbilt University Medical Center currently. We have our editorialist, Dr Parag Joshi from UT Southwestern, and our associate editor, Dr Anand Rohatgi from UT Southwestern. Welcome gentlemen and Aaron, could we start with you sharing about your study? Dr Aaron Aday:                 So, as you mentioned, a lot of the previous epidemiologic data on atherosclerosis have been primarily in coronary artery disease and stroke, and when we looked at peripheral artery disease or PAD, there seemed to be some subtle differences. So for instance, total cholesterol on HTL cholesterol seemed to be the strongest risk factors for future peripheral artery disease and in terms of LDL cholesterol, the data are somewhat mixed. Some have found a weak association, some have actually found no association. And so building on that, we wanted to see if using nuclear magnetic resonance spectroscopy, we could elucidate more details about the litho protein pathways associated with peripheral artery disease.                                                 And we did this in the women's health study which is a prospective cohort study of women free of cardiovascular disease, the baseline, they were aged 45 and older. And what we've found in terms of the standards with their profiles, we again found that there was no association between LDL cholesterol and future peripheral artery disease, whereas certain standard lipid measures like HDL cholesterol were strongly associated with PAD, and then using the Endemol spectroscopy tool, we found that actually, small LDL particles and total LDL particles were concentrations of both of those markers, were strong risk factors for future PAD and other measures like total HDL particle concentration were even more strongly associated with future PAD than coronary artery disease.                                                 So essentially the signature associated with future peripheral artery disease, had some important differences than that for a composite of coronary artery disease and stroke. Dr Carolyn Lam:                Aaron thanks for that. That's beautifully described and just so intriguing. Parag, could you tell us how should we be thinking about results like this? Dr Parag Joshi:                   It's a great paper and it really highlights a new and unique approach in that we ... Peripheral artery disease as an isolated incident event is fairly understudied I guess we could say and so, this is a really nice paper to start choosing out some of the risk factors for that. I think overall, when we think of peripheral arterial disease in general, I think historically, we've thought of it as similar pathophysiology, you know LDL particles and perhaps other particles depositing in the arterial space. But this does highlight some important differences that might exist and I think one of those seems to be that maybe this is more a signature of elevated remnant lipoproteins or triglyceride rich remnant lipoproteins, small dent LDL particles, low HDL, that sort of metabolic syndrome type patterns that we look at as a high risk factor that may be more contributory to peripheral artery disease than coronary disease, or at least more specific to peripheral artery disease.                                                 I guess one of my main questions about that from your work Aaron is, how can we be sure this isn't just a pre-clinical marker of diabetic patients which we know have this type of pattern? Dr Aaron Aday:                 Sure, it's certainly a possibility. I think what's notable in the cohort, at least a time enrollment. And there was a very little diabetes and actually there was a much greater prevalent of metabolic syndrome. So in my mind, it may be more of a metabolic syndrome specific marker rather than necessarily down the diabetes pathway, but it's certainly something that needs to be explored further. Dr Parag Joshi:                   I wonder whether women's health studies such a healthy cohort that I wonder if this is picking up some signal before the answer to diabetes or as you said, metabolic syndrome, you know which certainly suggests an insulin resistance pattern and we know the association of diabetes with peripheral artery disease is stronger and so I wonder if this may be a sort of earlier way of picking that up. Dr Aaron Aday:                 It may be. I think one thing to notice is the outcome of peripheral artery disease that we're using. So it is symptomatic disease. So, we're not picking up a lot of ulcers that are developing in the future, it's more the claudication and then people who've undergone revascularization. Certainly diabetics have both of those as well but I think that may suggest it's not fully unexplained by developing diabetes than peripheral artery disease further down the line. Dr Parag Joshi:                   Yeah that's a great point. Dr Carolyn Lam:                Yeah great questions, great thoughts. Anand, what about you? Did you have questions too? Dr Anand Rohatgi:            I think from my perspective and thinking about it for circulation and its readership, we found this really interesting for several reasons. Number one, I think is, as you all have discussed, peripheral arterial disease just is not as well characterized and you can see that here in over 25,000 people, add about a 100 a bed, so I think in younger folk, it takes a lot of people to study, to be able to really understand kind of the pathophysiology of peripheral arterial disease.                                                 The other thing that they think they really shed some light on is how this is happening in women in particular and in women, of course as we know have been understudied in all cardiovascular diseases, but in particular, diseases like this which are less common. It's really insightful to see that these lipid abnormalities in women are contributing to peripheral arterial disease more so than your typical LDL cholesterol management and interestingly enough, most of the women who had PAD events in this study, did not have other cardiovascular events.                                                 They really just had PAD events exclusively and I thought that was really intriguing, and the use of this advanced lipoprotein testing, this NMR modality has been very useful in terms of biology and research, and I think that's the case here where we really go under the hood Carolyn, as you said, and get kind of deep dive, the lipid metalobles on abnormalities. And I think Parag and Aaron hit the nail in the head that this is really capturing an insulin resistance of phenotype and what I really liked about this is, instead of studying people who are 70, 80 years old and a lot of things are sort of clustering, a lot of diseases are clustering and they're manifesting all at the same time, it's very hard to tease apart the effective age.                                                 Here, we captured women in their 50s and middle aged, just as they have kind of gone through menopause and this adverse metabolite's phenotype starts to rise in women. And then we could follow them over time and see what the natural history of that is, and the women who have this phenotype go on to have this devastating consequence, this peripheral arterial disease. One of the questions I had then, Aaron for you is, what do you think the implications are from these findings? Does it mean that in terms of diagnostics, we should be doing more advanced testings looking at LDL and HDL type particles with NMR or some other mortality? Does it change therapies with new therapies beings studies right now? What do you think the implications are from your work? Dr Aaron Aday:                 That's important right. I think you mentioned this and I see the inter marked tool in this study, is really a way to try to dig further into the biology of peripheral artery disease as a form of atherosclerosis. I think that we already know patients who are extremely high risk or PAD, those are patients with diabetes, smoking history, metabolic syndrome et cetera., and as you can see in a patient population in 28,000 middle aged women who are pretty healthy, we only had just over a 100 PAD events.                                                 So, I think even if you were to scale this up in terms of cost, I'm not sure that that would necessarily be a viable option for patients, but I think it does suggest that truly focusing on LDL in a very high-risk patient population, meaning patients with PAD, or we may not be fully addressing their risk. And so I think this is a need to highlight that important gap, think about other therapeutic options and we'll soon have ongoing trials, triglyceride low in therapy that may be particularly beneficial in this patient population and so that's how I see this being used. Dr Anand Rohatgi:            That makes a lot of sense and particular because in middle aged women like this, your standard risk score algorithms will not really capture that they're at increased risk, even if they smoke, just because they're women and they're younger and so, I think this really is a call to arms to more refined risk assessment in these women. Dr Parag Joshi:                   Aaron, do you think there's actually a difference in the biology in the peripheral arteries compared to the coronary and cerebral vascular beds, or is there data to kind of look at that or maybe histopathological data to look at that? Dr Aaron Aday:                 We know there's a lot of overlaps, so I don't wanna suggest that PAD is not a former atherosclerosis. I think one limitation is that the primary animal model for PAD is the hyperCKemia model. That doesn't fully recapitulate what's happening in a limb with PAD and so I think that has been one limitation in understanding the biology. But I think what we're starting to see in some clinical trials that have come out in the last couple of years or starting to see a somewhat different signal for therapies in patients with PAD so for instance, in 48, we actually saw that there was a greater benefit to LDL lower [inaudible 00:21:00] inhibitors than for coronary disease. We now have the compass trial results, again, more events, higher risk among these patients but for their benefit, add on River Oxodine therapy, we've seen lymph events or lymph signals in the SGLP2 inhibitor trials. So, I think we're starting to get a sense that there may be something else on top of the traditional ascariasis biology that may be a potential target on down the road. Dr Parag Joshi:                   I think it's really a fascinating biological question of how these different territories might actually differ in their pathophysiology. I think it's a really a nice time to look at this. Also I think, Anand and Aaron both mentioned ongoing trials. The omega 3 fatty acid trials I think reduce it, will be soon to be presented and hopefully published in the next month or so. It would be nice to see if they evaluate peripheral events in that group, I'm sure they will. Dr Carolyn Lam:                Indeed, these have been just such great thoughts and discussion. Nothing really much to add there. I suppose I could say something cheeky like for the first time, and I never thought I'd say it on the podcast, I feel kind of bad that there are no men included in this trial but anyway, I just learnt so much from this. I just wanna thank you gentlemen for a great discussion.                                                 Thank you, listeners, for joining us today and don't forget to tune in again next week to Circulation on the Run.

Dr Paul Wang:                   Welcome to the monthly podcast, On the Beat for Circulation: Arrhythmia and Electrophysiology. I'm Dr Paul Wang, Editor-in-Chief, with some of the key highlights from this month's issue. In our first paper this month, Shaan Khurshid and associates determine the frequency of rhythm abnormalities in 502,627 adults in the UK Biobank, a national prospective cohort. They found that 2.35% had a baseline rhythm abnormality. The prevalence increased with age, with 4.84% of individuals aged 65 to 73 years having rhythm abnormalities. During over three million person- years of follow up, nearly 16,000 new rhythm abnormalities were detected. Atrial fibrillation was the most frequent with three per thousand person-years. Bradyarrhythmia with almost one per thousand person-years. Conduction system disease is about one per one thousand years. Supraventricular and ventricular arrhythmias, each about one half per one thousand person-years. Older age was associated with a hazard ratio of 2.35 for each 10 year increase. Male sex, hypertension, chronic kidney disease and heart failure were all associated with new rhythm abnormalities. In our next paper, Fabien Squara and associates evaluated a method of determining the septal or free wall positioning of pacemaker or ICD leads during fluoroscopy. They compared in 50 patients a classical approach using posterior anterior, right anterior oblique 30 degrees, and left anterior oblique 40 degrees fluoroscopic imaging’s to 50 patients undergoing an individualized left anterior oblique or LAO approach. This individualized LAO approach view provided a true view of the interventricular septum. This angle was defined by the degree of LAO that allowed the perfect superimposition of the RV apex, using the tip of the right ventricular lead, temporarily placed at the apex, and one of the superior vena cava, inferior vena cava access using a guide wire. Transthoracic echo was used to confirm position of the right ventricular lead. Septal, or free wall, right ventricular lead positioning was correctly identified in 96% of patients in the individualized group, versus 76% in the classical group. P equals 0.004. For septal lead positioning fluoroscopy had 100% sensitivity, and an 89.5 specificity in an individualized group, versus 91.4% sensitivity, and a 40% specificity in the classical group. In our next paper, Elsayed Soliman and associates examined the lifetime risk of atrial fibrillation based on race and socioeconomic status. In the atherosclerosis risk in communities, ARIC, cohort, of 15,343 participants without atrial fibrillation, patients were recruited in 1987 to 1989, when they were 45 to 64 years of age, and followed through 2014. The authors identify 2,760 atrial fibrillation cases during a mean follow up of 21 years. The authors found that the lifetime risk of atrial fibrillation in the ARIC cohort was approximately one in three among whites, and one in five among African Americans. And, the socioeconomic status was inversely associated with cumulative incidents of atrial fibrillation before the last decades of life. In our next paper, Jonathan Steinberg and associates sought to determine the impact of atrial fibrillation episode duration threshold on atrial fibrillation incidents and burden in pacemaker patients in a prospective registry. In 615 pacemaker patients was device detected atrial fibrillation over a mean follow up of 3.7 years, 599 had one or more atrial fibrillation episodes of 30 seconds duration, with a mean number of 22 episodes. At 12 months, freedom from atrial fibrillation ranged from 25.5% to 73.1%, based on a duration threshold from 30 seconds up to 24 hours. Of patients with a first episode of 30 seconds to two minutes, 35.8% were free from subsequent episodes greater than two minutes at 180 days. The mean atrial fibrillation burden of 0.2% for patients with first episodes between 30 seconds and 3.8 hours, was significantly less than the 9.5% burden for those with greater than 3.8 hours. The authors concluded that small differences in atrial fibrillation episode duration definition can significantly affect the perceived incidents of atrial fibrillation impact reported outcomes, including atrial fibrillation success. An initial atrial fibrillation episode of 30 seconds does not predict clinically meaningful atrial fibrillation burden. In the next paper, Hongwu Chen and Linsheng Shi and associates examined the distinct electrophysiologic features of bundle branch reentrant ventricular tachycardia in patients without structural heart disease. They described nine patients, mean age 29.6 years, with normal left ventricular function and bundle branch reentrant ventricular tachycardia, with a right bundle branch block pattern in one patient, and left bundle branch block patterns in nine patients. In all left bundle branch block pattern ventricular tachycardia, the mean ventricular tachycardia cycling was 329.3 milliseconds, and the median HV interval during tachycardia was longer than that of baseline, 78 versus 71 milliseconds. The H to right bundle interval during ventricular tachycardia was slightly shorter, however, the right bundle to ventricular interval was markedly longer than that during sinus rhythm, 50 versus 30 milliseconds. In six patients with three dimensional mapping of the left ventricle, a slow anterograde, or retrograde conduction over the left His-Purkinje system with normal myocardial voltage was identified. In addition, Purkinje related ventricular tachycardias were also induced in five patients. Ablation was applied to the distal left bundle branch block in patients with baseline left bundle branch block, and in one narrow QRS patient with sustained Purkinje related ventricular tachycardia, while right bundle branch was targeted in other patients. During a mean follow up at 31.4 months, frequent premature ventricular contractions occurred in one patient, and new ventricular tachycardia developed in the other patient. In the next paper, Michel Haissaguerre and associates examined detailed mapping in 24 patients who survived idiopathic ventricular fibrillation. They used multi-electrode body surface recordings to identify the drivers maintaining ventricular fibrillation, and analyze electrograms in the driver regions, using endocardial and epicardial catheter mapping during sinus rhythm. Ventricular fibrillation occurred spontaneous in three patients, and was induced in 16, while VF was non-inducible in five. Ventricular fibrillation mapping demonstrated reentrant and focal activities, 87% and 13% respectively. The activities were dominant in one ventricle in nine patients, while they were biventricular in the others. During sinus rhythm, areas of abnormal electrograms were identified in 15 out of 24 patients, or 62.5%, revealing localized structural alterations, in the right ventricle in 11, the left ventricle in one, in both in three. They covered a limited surface, 13 centimeters squared, representing 5% of the total surface, and recorded predominantly on the epicardium. 76% of these areas were co-located with ventricular fibrillation drivers. In nine patients without structural alterations, the authors observed a high incidence of Purkinje triggers, seven out of nine, versus four out of 15. Catheter ablation resulted in arrhythmia-free outcomes in 15 out of 18 patients at a 17 month follow up. In our next paper, David Spar and associates describe the effectiveness, safety, and compliance of the wearable cardioverter defibrillator in the identification and treatment of life-threatening ventricular arrhythmias in all US pediatric patients who wore a wearable defibrillator from 2009 to 2016, ages less than 18 years. The 455 patients had a median age of 15 years, median duration of wearable cardioverter defibrillator use of 33 days, and median patient wear time of 20.6 hours per day. The study population was divided into two groups, 63 patients with an ICD problem, or 392 patients without an ICD problem. The wear time was greater than 20 hours in both groups. There were seven deaths, or 1.5%. All patients were not wearing the wearable cardioverter defibrillator at the time of death. Eight patients, 1.8%, received at least one wearable cardioverter defibrillator shock treatment. Of the six patients who had appropriate therapy, there were seven episodes of either polymorphic ventricular tachycardia, or ventricular fibrillation, with a total of 13 treatments delivered. All episodes were successfully converted, and the patient survived. In our next paper, Marc Lemoine and associates used human-induced pluripotential stem cell-derived cardiomyocytes to examine differences in repolarization reserve. The authors compared the contribution of IKs and IKr on action potential durations in human left ventricular tissue, and the human induced pluripotential stem cell derived cardiomyocytes, or IPS-derived engineered heart tissue. They found that the IPS-derived heart tissue showed spontaneous diastolic depolarization in action potential duration, which were sensitive to low concentrations of Ivabradine. IKr block by E-4031 prolonged action potential duration 90 with similar EC50 in both the IPS-derived heart tissue and the human left ventricular tissue. But a larger effect size in the IPS-derived heart tissue, 281 milliseconds versus 110 milliseconds, in the human left ventricular tissue. While IKr block alone evoked early after depolarizations, it triggered activity in 50% of the IPS-derived heart tissue. Slow pacing reduced extracellular potassium blocking of IKr, IKs and IK1 were necessary to induce early after depolarizations in human left ventricular tissue. In accordance with their clinical safety, Moxifloxacin and Verapamil did not induce EADs in IPS-derived heart tissue. In both IPS-derived heart tissue and human left ventricular tissue, IKs block by HMR 1556 prolonged action potential duration 90 slightly in the combined presence of E-4031 and isoprenaline. In our next paper, Elizabeth Saarel and associates sought to obtain contemporary digital ECG measurements in healthy children from North America to evaluate the effects of sex and race, and to compare the results to commonly published data sets, using 2400 digital ECGs, collected for children less than 18 years of age with normal electrocardiograms at 19 centers in the pediatric heart network. The authors found that the QTc in lead II was greater for females compared to males for age groups three years or older, for whites compared to African Americans, for ages 12 years or older. The R wave amplitude in V6 was greater for males compared to females for age groups 12 years and greater; for African Americans compared to white or other race categories for age groups three years or greater; and greater compared to commonly used public data set groups for ages 12 years and greater. In our next paper, Pyotr Platonov and associates examined T-wave morphology as a possible predictor of cardiac events in patients with type 2 long QT syndrome mutation carriers with normal QTc intervals. The authors compared 154 LQT2 mutation carriers with QTc less than 360 milliseconds in men, and less than 470 milliseconds in women, with 1007 unaffected family members. Flat, notched, or negative T-waves in leads II or V5 on baseline ECG were considered abnormal. Using Cox regression analysis, the associations between T-wave morphology, the presence in mutations in the poor region of KCNH2, and the risk of cardiac events defined that syncope aborted cardiac arrest, defibrillator therapy, or sudden cardiac arrests were assessed. The authors found that LQT2 female carriers with abnormal T-wave morphology had a threefold increased risk of cardiac events compared to LQT2 female carriers with normal T-waves, while this association was not seen in males. LQT2 males with poor location of mutations had a six-fold increased risk of cardiac events than non-poor location males, while no such association was found in females. In our last paper, Yaniv Bar-Cohen and associates describe a percutaneous pacemaker entirely implanted in the pericardium, using a sheath for sub-xiphoid access to the pericardial space, and a miniaturized camera with fiber optic illumination, the micro-pacemakers were successfully implanted in six pigs. All animals were studied during follow up, survived without symptoms. That's it for this month. We hope that you'll find the Journal to be the go-to place for everyone interested in the field. See you next time!  

Paul Wang:         Welcome to the monthly podcast, On the Beat, for Circulation: Arrhythmia and Electrophysiology. I'm Dr. Paul Wang, editor-in-chief, with some of the key highlights from this month's issue.                                 In our first study, Filip Plesinger and associates examined whether a computerized analysis of the body surface 12-lead ECG can be used to measure the ventricular electrical activation delay as a predictor of heart failure or death following resynchronization therapy in a MADIT-CRT trial.                                 The authors found that left bundle branch block patients with baseline ventricular electrical activation delay less than 31.2 milliseconds had a 35% risk of MADIT-CRT endpoints, while patients with ventricular electrical activation delay greater than or equal to 31.2 milliseconds had a 14% risk, P value of less than 0.001.                                 The hazard ratio for predicting primary endpoints in patients with low ventricular electrical activation delay was 2.34 with a P value of less than 0.01. However, ventricular electrical activation delay was not predicted in patients with right bundle branch block or IVCD.                                 In our next study, Karl-Heinz Kuck and associates examined the predictors of long-term clinical outcomes after catheter ablation of atrial fibrillation in 750 patients in the FIRE AND ICE Trial. Using propensity score stratification methods to count for differences in baseline characteristics between sexes, the authors found that female sex with a hazard ratio of 1.37, P equals 0.01, and prior direct current cardioversion with a hazard ratio of 1.40, P equals 0.013 were independently associated with atrial fibrillation recurrence.                                 Female sex with hazard ratio of 1.36, P value of 0.035 and hypertension with a hazard ratio of 1.48, P value of 0.013 independently predicted cardiovascular rehospitalization. A longer history of atrial fibrillation with a hazard ratio of 1.03, P value of 0.039 increased the rate of repeat ablation.                                 After propensity score adjustment, women continued to have higher rates of primary efficacy failure with adjusted hazard ratio of 1.51, P less than 0.05 and cardiovascular rehospitalization with a hazard ratio of 1.40, P less than 0.05.                                 In the next study, Laura Bear and associates examined the reliability of inverse electrocardiographic mapping of cardiac electrical activity from recorded body surface potentials. In five anesthetized closed-chest pigs, torso and ventricular epicardial potentials were recorded simultaneously during sinus rhythm, epicardial, and endocardial ventricular pacing. Two approaches, coupled finite/boundary element methods and a meshless approach based on the method of fundamental solutions, were compared.                                 The authors found that inverse mapping underestimated epicardial potentials more than twofold, P less than 0.0001. Mean correlation coefficients for reconstructed epicardial potential distributions ranged from 0.60 to 0.64 across all methods. Epicardial electrograms were recovered with reasonable fidelity at approximately 50% of the sites, but variation was substantial.                                 General activation spread was reproduced with a mean correlation coefficient of 0.72 to 0.78 for activation time maps with spatio-temporal smoothing. Epicardial foci were identified with a mean location error approximately 16 millimeters. Inverse mapping with method of fundamental solutions was better than coupled finite/boundary element methods.                                 The authors concluded that spatio-temporal variability of recovered electrograms may limit the resolution, with implications for accuracy of arrhythmia localization.                                 In the next study, Pejman Raeisi-Giglou and colleagues examined the incidence of pulmonary vein stenosis in 10,368 patients undergoing atrial fibrillation ablation from 2000 to 2015. Computed tomography scans were performed three to six months after the procedures. Severe pulmonary vein stenosis was observed in 52 patients, or 0.5%. The left superior pulmonary vein represented 51% of all severely stenosed veins.                                 Percutaneous interventions were performed in 43 patients, and complications occurred in five, including three pulmonary vein ruptures, one stroke and one phrenic injury. Over a median follow-up of 25 months, 41, or 79%, of patients remained arrhythmia-free.                                  In our next paper, Koichi Nagashima and associates compared hot balloon ablation and cryoballoon ablation in a 165 consecutive patients who underwent initial atrial fibrillation catheter ablation. Of the 165 patients, 74 propensity score-matched patients equally divided between hot balloon ablation and cryoballoon ablation were studied.                                 Patients' characteristics included age, sex, body mass index, atrial fibrillation subtype, CHA2DS2-VASc score, and left atrial dimension were similar between the two groups. 52% of the hot balloon ablation patients required touch-up with radiofrequency ablation for residual/dormant pulmonary vein conduction versus 24% of the cryoballoon ablation patients with a P value of 0.02.                                 The anterior aspect of the left superior pulmonary vein was the site in 41% of the touch-ups after hot balloon versus the inferior aspect of the inferior pulmonary veins in 22% of the touch-ups after cryoballoon ablation. Hot balloon lesions were smaller with an area of 23.8 centimeters squared compared to cryoballoon ablation lesions having an area of 33.5 centimeters squared with a P value of 0.0007. Within 12 months, both methods had an AF recurrence of 16%.                                 In our next paper, Mildred Opondo and associates randomized 61 patients, mean age 52 years, to either 10 months of high intensity exercise or yoga. The authors found that left atrial volume, Vo2 max, and left ventricular end-diastolic volume increased in the exercise group with no change in the control with a P value of less than 0.0001.                                 The authors did not find significant changes in atrial electrical activity and hypothesized that a longer duration training may be required to induce electrical changes.                                 In our next paper, because there's evidence that the distal part of the ligament of Marshall might be a sympathetic conduit between the left stellate ganglion and the ventricles, Shan Liu and associates randomly divided 29 dogs into a sham ablation group, a ligament of Marshall ablation group, and a left stellate ganglion ablation group. Ablation was performed before occlusion of the left anterior coronary artery.                                 Ligament of Marshall ablation attenuated blood pressure elevation induced by left stellate ganglion stimulation. Both ligament of Marshall ablation and left stellate ganglion ablation similarly prolonged ventricular refractory period and reduced the incidence of ventricular arrhythmias compared with sham ablation.                                 In our next study, Smith and Tester and associates examined the heterologous functional validation studies of putative long-QT syndrome subtype 2, LQT2, associated variants. Genetic testing of 292 sudden infant death syndrome cases identified nine KCNH2 variants, while some of the channels associated the variants can lead to accelerated deactivation and activation gating. Other current levels were similar to wild-type.                                 The authors examined the electronic health records of patients who were genotype positive for these particular sudden infant death syndrome–linked KCNH2 variants and found all of them had a median heart rate–corrected QT intervals less than 480 milliseconds and none had been diagnosed with long-QT syndrome or suffered cardiac arrest.                                 Simulating the impact of dysfunctional gating variants using computational models of the human ventricular action potential predicted that they have little impact on action potential duration. The authors concluded that these rare Kv11.1 missense variants are not long-QT2 causative variants and, therefore, do not represent the pathogenic substrate for sudden infant death syndrome in the variant-positive infants.                                 In our next study, Tina Baykaner and associates performed a systematic literature review and meta-analysis to determine outcomes from ablation of atrial fibrillation drivers in addition to pulmonary vein isolation or as a stand-alone procedure. The authors found 17 studies with a cohort size of 3,294 patients.                                 Atrial fibrillation driver ablation, when added to a pulmonary vein ablation or a stand-alone procedure compared the controls, produced an odds ratio of 3.1 with a P value of 0.02 for freedom from atrial fibrillation and an odds ratio of 1.8 with a P value of less 0.01 for freedom of all arrhythmias in four controlled studies.                                 Adding atrial fibrillation driver ablation to pulmonary vein ablation resulted in a freedom from atrial fibrillation of 72.5%, P value of less than 0.01 and a freedom from all arrhythmias of 57.8% with a P value less than 0.01. Atrial fibrillation termination was 40.5% and predicted favorable outcome from ablation with a P value of less than 0.05. Large multicenter randomized trials are needed to precisely define the benefits of adding driver ablation to a pulmonary vein isolation.                                 In our next study, Hidekazu Kondo and associates found that the adverse atrial remodeling, including atrial inflammation, lipidosis and fibrosis, were induced in both wild-type and Interleukin-10 knockout mice by high fat diet, but the effects were exaggerated in the Interleukin-10 knockout mice. Vulnerability to atrial fibrillation was also significantly enhanced by the high fat diet.                                 The total amount of epicardial and pericardial adipose tissue volume was increased with high fat diet. Proinflammatory and profibrotic cytokines of epicardial and pericardial adipose tissue were also upregulated. In contrast, the protein level of adiponectin was downregulated by the high fat diet. Systemic Interleukin-10 administration markedly ameliorated the high fat diet induced obesity-caused left atrial remodeling and vulnerability to atrial fibrillation.                                 The authors concluded that Interleukin-10 treatment may limit the progression of atrial fibrillation occurring in the setting of a high fat diet.                                 In our next paper, Garcia and Campbell and associates demonstrated the ability to deliver amiodarone epicardially over a sustained period of time. The authors demonstrated in a pig model of atrial fibrillation that an amiodarone containing polyethylene glycol-based hydrogel placed directly on the atrial myocardium in a minimally invasive catheter procedure significantly reduced the duration of sustained atrial fibrillation at 21 and 28 days. The authors found that inducibility of atrial fibrillation was also reduced.                                 In our final paper, Htet Khine and associates examined the effect of spaceflight on the changes in atrial structure, supraventricular beats, and atrial electrophysiology, and to determine whether spaceflight could increase the risk of atrial fibrillation.                                 The authors found that, in 13 that in astronauts, the left atrial volume transiently increased after six months in space without changing atrial function. Right atrial size remained unchanged, while one astronaut had a very large increase in supraventricular ectopic beats, none developed atrial fibrillation. The P-wave amplitude duration did not change over time, but RMS 20 decreased on all fight days except landing day.                                 That's it for this month. Thanks for listening to On the Beat. We hope that you'll find the journal to be the go-to place for everyone interested in the field. See you next month.  

Jane Ferguson:                Hi, everyone. Welcome to Episode Four of Getting Personal: -Omics of the Heart." I'm Jane Ferguson, an assistant professor at Vanderbilt University Medical Center. This month, we have a special feature from early career member, Andrew Landstrom, who went to the Heart Rhythm Scientific Sessions in Chicago earlier this month and talked to some of the scientists who presented their research. So listen on for interviews Andrews conducted with Anneline te Riele, discussing the challenges and opportunities related to incidental findings in genetic testing, with Ernesto Fernandez, describing his research into whole exome sequencing and Long QT syndrome, and with David Tester, discussing novel variance and pathway analysis in Sudden Infant Death Syndrome. Andrew :                           My name is Andrew Landstrom and I am from the Baylor College of Medicine Department of Pediatrics' section on Cardiovascular Disease. I'm here at the 2017 Heart Rhythm Society Scientific Sessions. Anneline, will you tell us a little bit more about yourself, and what brought you to HRS? Anneline:                          Sure. So my name is Anneline Te Riele, I am a physician from The Netherlands. I finished my medical training in 2012 basically, in The Netherlands, and I started doing a PhD on ARVC in a combined project of our Netherlands patient as well as a group at Hopkins. So what brought me to HRS? I think of course the science. There's a lot of very good science. Actually, I think it's the best meeting for my purposes. Andrew :                           Absolutely. So will you just start by telling us a little bit about the spectrum of genetic testing in the clinic and about both the opportunities and the challenges that it brings? Anneline:                          Sure. So what we do in clinic, and I think this is really the challenge that we're facing currently, is we have moved from just testing on gene or one small panel of genes to bigger panels and then to whole exome or even whole genome sequencing. And I think the good part of that is that in certain cases, certain well-selected cases, you'll get a higher change of actually finding that gene that is responsible for disease.                                            On the contrary, it also leads to a lot of incidental findings. So findings that you were not expecting based on the phenotype of the patient and then you need to deal with those abnormalities that you've found and that brings on a lot of challenges as well for the family but also for us as physicians. Do we then need to screen those families, what do we do with this patient, do we treat them with medical therapies or drugs or do we give them ICDs? That kinds of question. So that I think is a virtually important part of what we're currently dealing with in clinical practice. Andrew :                           It does seem to be a very widespread problem. And here in the US of course we have the American College of Medical Genetics guidelines about reporting a variance. How do you think that that plays into the increased genetic uncertainty here in the US at least? Anneline:                          So that's a great questions. In 2013, the ACMG produced a guideline on which genes to report if you find these incidental findings. So 24 of these genes, and that's actually a big number, 24 of these genes are cardiovascular genes and that's mainly because changes in cardiovascular genes may detrimental effects down the line and really cause death or certain morbidities that are really important for the patient so we do need to deal with that.                                            And the problem with the ACMG guidelines and especially the pathogenicity guidelines is that they require two aspects. They basically require first that the variant was seen before in other cardiomyopathies or in this case other patients with disease. And that's really difficult for cardiomyopathy genes because these are large genes, they have a lot of novel or private mutations in there, so it's really hard to fulfill that requirement of having been seen before.                                            And the second thing is that the ACMG guidelines require functional studies as another proof of evidence of pathogenicity and of course, I think we would all like to do that in all of our patients, but it's just not feasible for financial purposes and all that. So that's a problem that we're facing. There are options and solutions but I think we'll talk about that later, but yeah, I think that's a problem that we're facing. Andrew :                           So on the one hand you have the ability to make a diagnostic decision based on a clear finding, but oftentimes the threshold to calling it a clearly pathologic variant is very high and oftentimes it never rises to that so it becomes more genetic uncertainty. Anneline:                          Yeah. I think that's basically right. And of course in an ideal world, we'll have certainty and say this is likely or this is definitely pathogenic, and this is likely or definitely benign, but in the real world, really, I think maybe even 80, 90% of the cases were in that gray zone in between and we need to deal with that. Andrew :                           Yeah, yeah. And you had some great resources that both scientists and clinicians alike can apply to these unknown, uncertain variants that might clarify things at least a little bit, and what are these tools? Anneline:                          So of course, from a traditional perspective, we have always looked at in silico predictive programs, we'll look at segregation data, and I think they're all very important, but they all have limitations, so for example, in silico predictive programs, they likely overcall mutations deleterious and segregation data is nothing more than evidence of pathogenicity of a locus to a disorder, not necessarily that variant, so the new things that are on the horizon, and a thing that could be the future of [inaudible 00:06:04] interpretation is collaborative project so really we should be collaborating, we should not be having our own little islands. The collaboration is the key here.                                            And collaborative efforts in the US have been for example, ClinVar and NHLBI funded effort, as well as ClinGen and ClinGen, or Clinical Genome, is perhaps the, at least it claims to be, the authoritative central resource to go back to that curates variants as being pathogenic yes or no. And I think these databases, ClinVar finally has a database entry, so the variants will be in ClinVar, but ClinGen provides an expert panel of individuals who will curate these variants as being pathogenic yes or no. I think that is a central resource that we should all be aware of. I know these are not the only ones, there are other collaborative efforts out there.                                            I mean, there are ways to connect clinicians, so for example, Match Maker Exchange is a website that you could use to enter your variant and the phenotype of the patient and you submit your own information and then you'll get matches in other databases, but not only your own match shows up. So if, say, two years later, another physician comes up and looks for the same variant, you'll get a pop up, which will actually be very nice for these clinicians to get in touch. So that's, I think, the feature ... future of variant interpretation is collaboration. That's basically my, I think my main important message here. Andrew :                           I think that's absolutely right. I think this has become sort of a big data question that requires many perspectives, and a lot of resources to be able to curate accurately. What are some of the limitations of these tools that you've seen that kind of, you have to keep in mind in terms of trying to determine whether a variant is truly pathologic or not with a patient that you have sitting in front of you? Anneline:                          So that is, I mean, of course, there's many limitations in the things that we currently do because there's so much that we don't know. But for example, to give you an example, ClinVar I think, is one central resource that we should all be aware of and if you go to ClinVar, there is actually data from two years ago, and I'm sure the numbers are high if we would look now, but if we look in ClinVar two years ago, we already saw that of the, say 120,000 variants that were in the database, 21% of these variants were called VUSes but if you look at these variants, 17% of the cases, the labs or the individual submitters of ClinVar didn't agree on the actual classification of that variant.                                            So the limitations that we all should be aware of is that there is not one single solution and you should look for evidence and really research your variants. So look at Popmap, look at what is out there, look the patient of course, look at the clinical phenotype, does it match what you think the gene should be doing or not, or is it completely unrelated? And then of course search these databases but be aware of the fact that there may be errors there.                                            Another thing I want to highlight too is that we typically go to population databases, so Exome Variant Server, ExAC, I think these are very popular databases that we use to look at the frequency of variants in a selected population. But really these databases may have sub-clinical disease patients, so I know ExAC has three NYBPC-3 mutations that are known to cause HCM, so this is something to keep in mind. There's not a gold standard truth if you open these databases, but you should have multiple pieces of information when interpreting your variant. Andrew :                           And that's a good point. I think with a lot of these cardiomyopathies and channelopathies, particularly some of the more frequent ones, when you have a database of 60,000 people, at least a couple of them are going to have disease. Anneline:                          Yeah. I think that is part of the problem. I mean HCM is pretty prevalent, I mean one in 500 individuals likely, I mean these are recent numbers, has the disease. So I think the cutoff of a minor allele frequency of five percent, which is in the ACMG guidelines, I think is way too high for this disease. So this is what the cardiovascular expert panel of ClinGen has done, so they ... This is, ClinGen, as you might know, Clinical Genome, is a one-on-one team of curators that know the framework of ClinGen and then there is disease experts that are very well accustomed with the disease and the genes associated with it. So they provide teams and these teams work together, and the cardiovascular expert group has recently published a modified, or customized, ACMG guidelines on how to deal with the intricacies of the cardiomyopathies and for example, NYH-7 which is the first genotype deposed in ClinGen or in ClinVar finally.                                            So they modify that cutoff, the minor allele frequency of five percent, which is the BA-1 ACMG guideline cutoff, they changed that to 0.1% and I think that's exactly what you were saying, that is important to keep in mind, some of the cardiomyopathies are way more prevalent so you should not consider that if you see it in a population database that you think that it's, then it's normal, it's not necessarily the case because this is a prevalent disease. Andrew :                           Yeah, and particularly when commercial genetic testing companies all can't agree that a variant is bad, and we all can't agree that a healthy variant may or may not be good, there is definitely a lot of genetic uncertainty there. Anneline:                          Exactly, exactly. Andrew :                           Now, whole-exome sequencing certainly has its role clinically, even with that genetic uncertainty that we spoke about, but it has a clear role in genetic discovery as well. Anneline:                          Sure. Andrew :                           And you were part of a very recent paper, and you led a very long list of authors, speaking more about your collaborative approach to genetics research that evaluated a novel substrate for ARVC, is that correct? Anneline:                          Yes. So this is something I'm actually pretty proud of. As you said, it's a collaborative effort, so it literally take a village to do these kind of studies and we're lucky enough to collaborate with a lot of people who are interested in the same topic. So what we did ... and I metnioned to you in the beginning, I come from the ARVC field ... So what we did is we had one ARVC patient that was discovered by whole-exome sequencing to carry an SCN5A variant and we, in and of itself, found that that was very interesting, because SCN5A, as you know, has been associated with Brugada syndrome predominantly but many other cardiomyopathies as well, so DCM, even ACM. There's been a lot of controversy about SCN5A in that matter.                                            So the computational data, the population data, it all pointed to the fact that this variant may be pathogenic, but we weren't really able to connect those dots just yet. So we then collaborated with the group in NYU with Mario Delmar, who did, first of all, functional studies on the sodium channel, but what was nice is that he was able to use his novel method of super-resolution microscopy which is a way in which we can look at the nano-scale structure of the cardiomyocytes, or really the small, small levels of molecules that you see in these cells. And what we did is we found that not only NAV1.5 which is the gene product of SCN5A but also [inaudible 00:13:53] which is an adherence structure molecule, which links the cells together was actually less present in our ARVC patient compared to the control. And this was in the IPS so cardiomyocyte molecule, which we corrected using CRISPR-Cas9 technology so I think at least in current practice, on of the best pieces of evidence that we can get.                                            So I think this shows that our SCN5A variant, I mean, in this case, probably really was pathogenic, but also in a pathophysiological standpoint, explains to us how SCN5A mutations, which are typically thought to be only affecting the sodium channel, can also lead to cardiomyopathy phenotype which has implications beyond the ARVC world, but also in DCM I think this is a nice finding of collaboration that I think ... I hope more people will look into this. Andrew :                           Absolutely I think the trouble with SCN5A is exactly like you were saying, it's been implicated in Long QT, Brugada Syndrome, SIDS, [inaudible 00:14:57], now ARVC, and even nodal disease, like sinus syndrome and things like that. So the ability to show sort of mechanistically, that while you have a change in your sodium channel gating that you also have a change in the way that the cells can connect with each other and form contractile force is, I guess, key to your study. Anneline:                          Yeah, yeah. I think this really, I mean, I'm hoping at least, it was also finally published in a journal that looks more into functional studies, so not necessarily only genetics, and I think we need to work closely not only on the genetic side, but look closely at the pathophysiological standpoint for gene discovery purposes because this will really explain to us why one gene is implicated in one disease, and also it points to possible directions to perhaps stop the disease process and treat these patients, which I think is vital in our clinical practice. Andrew :                           So are SCN5A mutations in ARVC a common finding or are they rare? Anneline:                          So they are pretty rare. I mean, we do find them every now and then and maybe they're modifiers. So what we did to follow up on that one individual, we check 281 ARVD patients who were screened just by regular screening, not by whole-exome but we did a targeted screening of SCN5A and we found five variants in these 281 patients, so that's two percent. I mean, it's still rare, but it is as rare as any other minor gene causing ARVC, but it is a rare feature, so I mean, I think it could be a player. And interestingly, the phenotype didn't change much. It wasn't really different from the ARVC patients without an SCN5A mutation which is reassuring.                                            What we also saw is that the prevalence of mutations in those with desmosomal mutations. So ARVC is, as you know, typically associated with diseases or mutations in the desmosome. It was more often seen in those without a desmosomal mutation. That was almost double as frequent as in those with a desmosomal mutation. So it does give us some direction to the fact that this may be a player out there. I mean of course it's not Plakophilin-2 which is the major player, I think, in ARVC, but I think it may cause a, at least a certain form of cardiomyopathy of arrhythmogenic cardiomyopathy that we need to be aware of. Andrew :                           And how do you think your new discovery of SCN5A being associated with ARVC, how do you think that plays into the bigger discussion we were having about expansive genetic testing and what that may mean for a patient as far as diagnostic utility but also limitations of variant interpretation? Anneline:                          That's a great question. So I think we should be cautious of saying this gene causes only this disease, and I think this is a common feature not only in ARVC but in a lot of cardiomyopathies and even in channelopathies. I think the concept of one gene causes one disease is outdated. We know that multiple genes have multiple effects and this SCN5A, of course the gene product is NAV1.5 which is the major alpha subunit of the sodium channels so it is really not the canonical function of SCN5A or NAV1.5 that causes cardiomyopathy here but it's a non-canonical function so I think we should be aware of the fact that gene products have different functions and that there can be overlap of the cardiomyopathies. So of course I think we should be screwing SCN5A in our ARVC patients and I'm hoping a lot of labs and a lot of physicians are already doing that, but it's really not the only thing that is associated with ARVC. So that's important to keep in mind. Andrew :                           What do you think the next steps are for sort of broadening the implication of your finding? Anneline:                          So what we are doing currently, and is a little bit of a sneak peek, because this data is not really out there yet, but we have, in this cohort, we found these five variants in 281 individuals, and we're currently working on one of these individuals to get another IPSO cardiomyocyte cell line and look into the functional components to that. And interestingly, this variant, that exact variant in that ARVC patient was also found in a Brugada Syndrome patient. So wouldn't it be nice to actually set them side by side and see what the differences are?                                            Of course this is a little bit of a future music, if you know what I'm saying, like this is something that we don't have just yet, but I think what we need to figure out is how epigenetic or environmental factors play into this field and to explain how one gene or one variant, even, can cause opposite functional effects in different phenotypes. Andrew :                           What do you think is needed to help clarify some of the genetic uncertainty you see clinically? Anneline:                          I think a lot of collaboration, a lot of money, quite frankly. I think we need to ... I mean, the functional data is really helping us not only for understanding that single variant, but also for gene discovery, and as I said, for treatment down the line, that is necessary, and I think the variant of uncertain significance, I mean, if we all live on our little islands and only do our little practices, then we're not going to go a lot further. So we need to work together to understand what your patient has in this variant, my patient had in that variant, and this is our phenotype, so we need to connect those dots to be able to make certain conclusions. Andrew :                           Well, I'm all for collaboration, as well as additional money, that's good. Anneline:                          Good. Andrew :                           Well, thank you so much for spending time with us. Anneline:                          Sure. Andrew :                           And again, congratulations on a wonderful presentation. Anneline:                          Thank you very much. Andrew :                           I'm joined by Dr. Ernesto Fernandez from the Baylor College of Medicine to talk about his research project. Ernesto, I'm wondering if we can just start by introducing yourself and what your project is. Ernesto:                            I am a second-year pediatric resident, I'm applying to a cardiology fellowship right now and I'm interested in, obviously, all aspects of pediatric cardiology. We're trying to figure out whether testing for Long QT genes or Long QT syndrome is actually warranted in otherwise healthy individuals. We're trying to see what the yield is on these testings, specifically whole-exome sequencing. Andrew :                           And I think this project really hits on an important point, whereby, because we've been able to interrogate the genome more comprehensively with clinical testing, that we've run into more incidentally identified variants. And these variants can pop up in genes, like the genes responsible for Long QT syndrome. Talk a little bit more about these variants, what the implication is of finding these variants incidentally, and what your project hoped to target as far as the diagnostic value of these variants. Ernesto:                            Yeah. So I guess the answer to your first question is that we are coming up with these marvelous new techniques of analyzing the genome and now we're using whole-exome sequence testing to look up is someone has any exome that's abnormal and this has caused a huge problem whereby we're now finding all these variants that we don't really know what they mean. We call them variants of undetermined significance.                                            Our study is basically premised by the fact that if you have no underlying suspicion for any arrhythmic disease, there's really no need or no indication to be referred for whole-exome sequencing testing, given that the most likely result is a variant that we don't really know what it means. And it's probably going to be benign. Andrew :                           So on the one hand, you have a well-established gene panel that's being used for diagnostic purposes with you index of suspicion being high for Long QT syndrome versus something like a whole-exome gene screen where somebody may not be thinking about Long QT syndrome as a diagnosis and have low pre-test suspicion but then comes back with a variant found in these genes sort of incidentally. Is that sort of the dichotomy you're drawing? Ernesto:                            Yeah. I think the best way of explaining it is through Bay's Theorem whereby if you have someone with a high index of suspicion when you start off to have sudden cardiac death, a family history of an arrhythmic disease, and you get a test for it, such as a gene panel for Long QT syndrome, and they come up with a positive test result, then you're going to say, "Oh. I should probably evaluate this further," whereas if you have someone who has some dysmorphism, they have delay, they might have seizures, but there's no family history of sudden cardiac death, no personal history of syncope, then there's really no need to send off this big gun, the whole-exome sequence, because you're likely to either get a normal variant or you're likely to get a variant that we don't know what to make of. Andrew :                           So I think, Ernesto, that nicely summarizes the clinical question that you had in mind. What was your hypothesis going into the study, and how did you seek to approach that hypothesis, sort of experimentally? Ernesto:                            So we came up with the hypothesis that if you have an incidentally identified variant within the whole-exome sequencing tests without any other clinical suspicion, it's likely to represent a benign finding. We went about by analyzing the data from the Baylor Miraca labs on the whole-exome sequencing data that they achieved, and we looked specifically at individuals who had gotten these tests and found to have a variant of undetermined significance, or had a pathologic variant for either one or all 17 of the genes for Long QT syndrome. We compared them to individuals who had known Long QT syndrome that had undergone genotype testing, and we [inaudible 00:25:21] these individuals from the literature. And we wanted to compare the whole-exome sequencing cohort to individuals who were otherwise healthy and had obtained a whole-exome sequence. So these are patients or individuals from the well-established ExAC database that are believed to be ostensibly healthy individuals. Andrew :                           So if I understand you correctly, you're comparing this unknown cohort, that being the rare variants found in whole-exome sequencing, against a positive control cohort of pathologic cases versus a negative control cohort of healthy individuals derived from the ExAC database to look for whether those west variants are more similar to the cases or the controls. With regards to the west cohort, what was the prevalence of individuals with these incidentally identified variants, how many did you find? Ernesto:                            So we actually found just about 49% of individuals had some variant in Long QT syndrome gene, and noted that about 12% of them had a mutation in the major causes of Long QT syndrome, and just over a third, or 36% had a mutation in the more rare causes of long QT syndrome. Andrew :                           That's a pretty surprising finding. So you're saying that one in two individuals who get whole-exome sequencing sent for whatever reason, have a variant in a Long QT-associated gene? Ernesto:                            That's what the data suggests. Andrew :                           And where did you go from here? Ernesto:                            So from there, we went onto compare the variant frequency between the case's cohort, those individuals with known Long QT syndrome, those individuals in our west cohort from the Baylor Miraca labs, and those individuals from the ExAC database who are otherwise healthy. So we noted that in our west cohort, there was about 13% of individuals who had a positive variant in the Long QT syndrome one through three genes, the major causes of Long QT syndrome. When we compare that to the ostensibly healthy individuals from the ExAC database, it was 12% in that study that had some variant in Long QT syndrome genes that are major causes of Long QT syndrome itself.                                            This was statistically similar, it was indistinguishable. And then when we compared it to the pathologic cases, it was actually about 50% of those cases who had a positive variant in a Long QT syndrome gene one through three. Andrew :                           So there was a relatively low frequency of individuals who had variants in one of the big three Long QT genes in both controls and the west cohort, and was obviously much higher among individuals with a diagnosis of Long QT syndrome. Ernesto:                            Yep. That's exactly what we found. Andrew :                           And where did you go from here? Ernesto:                            And then from there, we had a good idea that there was probably a big difference between cases and west, but we wanted to make sure, gene by gene, that there was no difference between our west cases and the ExAC database, the control cases. So we mapped each variant frequency by gene for the major causes of Long QT syndrome. There was no statistically significant difference between the west and the controls. Andrew :                           So the gene frequencies between the controls and the west were indistinguishable and very much different, both of them, it would seem, to the pathologic cases. Ernesto:                            Correct. Andrew :                           And you then looked at the position of these variants, the actual amino acid residues, correct? Ernesto:                            Yeah. So we looked at, for KCNQ1, KCNH2, and SCM5A, the three major causes of Long QT syndrome, one, two, three respectively, and we mapped out the amino acid positions where there was actually a mutation for each individuals. So the cases, controls, and pathologic cohorts. We determined the percent overlap between the west cohort and the controls and the percent overlap between the west cohort and the cases and noticed that for all three, there is a huge preference for west and control versus west and cases. Andrew :                           So if you're a west variant you're more likely to reside in the residue also occupied by a healthy individual variant as opposed to a pathologic variant? Ernesto:                            Yeah. Exactly. Andrew :                           And so what did you do next? You retrospectively looked at some of the charts of the patients who were seen at Texas Children's Hospital, correct? Ernesto:                            Mm-hmm (affirmative). So then we had 223 total individuals that had an incidentally identified variant within one of the major three genes, the Long QT syndrome genes. We looked at the reasons for their referrals and noticed that the vast majority of individuals were referred for some developmental delay, for some dysmorphism, for a non-cardiac cause, and then it was only about 23% of these individuals that actually had a reason for referral that was cardiac in nature. And less than on percent of individuals were referred for a solely cardiovascular reason. And we concluded that it's unlikely that these individuals were referred for a cardiac reason, as the data suggests, and that as a result, the index of suspicion for an arrhythmia is likely lower in these individuals. Andrew :                           And what did you find when you looked at the charts of those individuals? Ernesto:                            We had EKG data for a good number of them, and we excluded individuals who obviously had no EKG data, and we excluded individuals who had some congenital abnormality and then anyone with any other arrhythmia that would make the QTC interpretation more difficult, such as interventricular conduction defects.                                            We ended up with 62 individuals and 61 of them had a normal QTC, so there was no evidence of QT prolongation at all. There was one individual who was left who had borderline elevated QTC of 460, which was our cutoff for borderline elevation and this individual had actually been seen by pediatric cardiology at Texas Children's Hospital and found to have ... a history of syncope and it was found to be non-cardiogenic in nature. Andrew :                           So matching the variant data which suggested that you had likely found background variation in the west, you found no evidence of Long QT syndrome in these individuals who had variants in Long QT genes. Ernesto:                            That's correct. So, the overall percent was very similar between the healthy individuals and the west individuals. The variant frequencies were almost indistinguishable, and then the variant co-mapping for all, for both the west and the controls, was preferential to the western cases. So that kind of matched what we found in our study, that there was no clinical suspicion or clinical diagnosis of Long QT syndrome in these individuals who had been found incidentally. Andrew :                           Well that sounds to me to be a pretty big finding. Ernesto:                            Yeah. I think it's pretty important to get this information out there. Andrew :                           So what do you think the take home message for your study is? Ernesto:                            I think the take home message is if you don't have a suspicion of Long QT syndrome or of an arrhythmia, there's low likelihood that such a big gun test as the whole-exome sequence is likely going to change your mind. Andrew :                           So Ernesto, what would you advise a cardiologist who maybe gets a patient in clinic with a chief complaint of a VUS in a Long QT associated gene picked up on west, what would you advise based on your study findings? Ernesto:                            They're going to have to determine their own pre-test suspicion. They're going to have to get a good history and physical, probably get a baseline EKG to determine what the QTC intervals are, and if there's really no other clinical suspicion for Long QT syndrome, they're likely to be able to provide reassurance at that point in time. Andrew :                           Ernesto, what do you think the next steps are for this project, and what do you think still needs to be done in the field to reinforce your conclusions? Ernesto:                            I think my study is one of the early studies of this field, so getting more studies like this and other channelopathies, getting not just looking at Long QT one through three but looking at all of them, and in patients who've been evaluated at Texas Children's or any other institution would be helpful. And then moving forward to give more credence to the idea that if you have history that's reassuring and physical exam that's reassuring, then you probably don't need to have further testing. Andrew :                           What do you recommend if your index of suspicion is high for Long QT syndrome, so maybe a QTC in the low 480s, maybe a family history of syncope or seizures, do you think whole-exome sequencing is the way to go? Ernesto:                            Right now, that's probably not the best test, given all these incidental findings that we don't really know what to do with. There's other tests that are more high-tailored for those specific diseases, like Long QT syndrome panel among others, that are probably more likely to give you a positive post-test probability. Andrew :                           So testing for the disease you're suspicious for as opposed to testing indiscriminately? Ernesto:                            Yeah. Andrew :                           So Ernesto, thank you so much for taking the time our of your day to speak with us. Ernesto:                            Thank you, Andrew. Andrew :                           I'm here with David Tester, senior research technologist working with Mike Ackerman at Mayo Clinic, and he just gave a wonderful talk on whole-exome sequencing and next-generation sequencing as an unbiased look to determine underlying causes of Sudden Infant Death Syndrome, or SIDS. So David, I'm wondering if you can introduce yourself and talk a little bit about your project. Dave:                                 Sure. I'm Dave Tester and I'm at the Mayo Clinic, again with Mike Ackerman. Dr. Ackerman and I have been together for about 18 years now, with a real focus on genetics of sudden cardiac death disorders. So this latest study was looking at whole-exome sequencing in a population of SIDS cases in collaboration with Dr. Elijah Behr at St. George's University in London.                                            And really the approach, what we were aiming for is really kind of two-fold. First we were looking to determine what is the yield of ultra-rare variance within genes that have been implicated in cardiovascular disorders? These would be the cardiac channelopathies and some of the cardiomyopathies such as ACM or ARVC, for example.                                            And the second thing that we were wanting to look at was can we use this to search for sort of novel candidate genes for Sudden Infant Death Syndrome susceptibility? And so we took that aim and really the main result was to show that about 14% of our SIDS cases had what we term potentially informative variants. And those are going to be variants that were within sort of the major channelopathy genes that are implicated in Long QT syndrome or CPVT as well as loss of function variants within the 90 ICC genes that we had examined.                                            Using the ACMG guidelines for determining the pathogenicity of variants, about 4.3% of our SIDS cases hosted an ACMG guideline predicated likely pathogenic to pathogenic variant. And most of those variants represent either a frame shift or splice site error variance really in minor cardiomyopathy genes and channelopathy genes. So there's still a lot of work that needs to be done in terms of looking at specifically missense variance within channel genes and that sort of thing, and really kind of functionally characterizing those to determine whether or not they truly are pathogenic or if they should remain variants of uncertain significance. Andrew :                           And so you took a very complex disease like SIDS with probably a number of differens ideologies and found a pretty good percentage have suspicious variants, that 14% or so, and then 4% had variants that were so suspicious they would meet American College of Medical Genetics guidelines for being a possible or likely pathologic variant. Where do you think this study lies in sort of the continuum of identifying the genetic ideology of SIDS, and what do you think these findings sort of add to that overall picture? Dave:                                 Well I think these findings in general really just kind of show the complexity of SIDS. Whether or not SIDS is really truly genetic or not, or perhaps it just, if it's not monogenic, perhaps it's polygenic, and so those are some things that we should be considering and looking at. Now some of those questions might be able to be answer through our whole-exome sequencing data set that we have, and I think those are really going to be kind of the next phases.                                            We can also take and do some pathway analyses of the exome sequencing data, for example, and see our variance kind of lining up on certain pathways that may contribute to certain pathologies that could contribute to SIDS. Andrew :                           And in your study, you had a few genes where the number of variants that were found in SIDS cases were higher than in your controls. Can you speak some more about what those genes may tell you in the context of pathway analysis for SIDS? Dave:                                 Yes. So there was ... There were not genes that came out with sort of a genome-wide significance level. But there were at least 400 genes that had a p-value of 0.05 over representation in SIDS versus our ethnic match controls and 17 of those genes have a p-value of 0.005 and we're really kind of focused on some of those that have a little bit higher p-value for us to assess. A few of those genes may represent biologically plausible candidate genes for SIDS and we were kind of actually going through and considering which ones we'd like to follow up on in terms of function. Some of these genes do play a role in, say, cardiorespiratory system and function of the heart as well as in the brain. Andrew :                           So then given all these findings, and the fact that you may have some candidate genes and candidate pathways that might be interesting to look at further, what are the next steps that you think would help this project move forward, and what do you think the field of Sudden Infant Death Syndrome and Sudden Unexplained Death Syndrome needs to kind of move forward? Dave:                                 Well I think from a genetic standpoint, the study that we just complete was really on a large set of unrelated infants that had died suddenly. We did not have access to parental DNA and so moving forward in terms of the genetics, I think incorporating sort of a trio analysis I think would get at the question of sort of [inaudible 00:42:01] variance for example. The other things, in terms of genetic standpoint is perhaps looking at different genetic mechanisms. Whether these are copy number variance that may be missed by exome sequencing, perhaps some of the SIDS could be due to epigenetic abnormalities or even small chromosomal abnormalities that perhaps may not be detected on certain arrays on there being used. So I think going forward, kind of taking those approaches to look for sort of unique genetic variation. Andrew :                           Well Dave, thank you so much for taking the time to speak with me and congratulations on a great project. Dave:                                 All right, great, thank you. Jane Ferguson:  Thanks to Andrew for highlighting the interesting precision medicine research presented at HRS and thanks to you all for listening. We'll be back with more next month.

Ventrikuläre Tachyarrhythmien sind die Hauptursachen für den plötzlichen Herztod, der eine bedeutende Todesursache in der westlichen Welt darstellt. Dabei sind, neben strukturellen Veränderungen im Myokard wie Narben, Hypertrophie oder Ventrikeldilatation, elektrophysiologische Veränderungen der Repolarisationsphase ursächlich. Für die Repolarisation essentielle Kanäle sind die delayed rectifier Kaliumkanäle IKr und IKs; Mutationen in diesen Kanälen sind ursächlich für das angeborene Long QT-Syndrom, das mit lebensbedrohlichen Herzrhythmusstörungen assoziiert ist. Pharmakologische Wirkungen und Nebenwirkungen auf die repolarisierenden Kaliumkanäle können ebenfalls Herzrhythmusstörungen auslösen; man spricht dabei vom erworbenen oder Medikamenten-induzierten Long QT-Syndrom. Auch bei Herzinsuffizienz zum Beispiel aufgrund einer dilatativen Kardiomyopathie wird oft eine QT-Zeit Verlängerung und Rhythmusstörungen beobachtet. Dabei ist die Herunterregulation von Kaliumkanälen wie Ito ein oft beobachtetes Phänomen; in tierexperimentellen Untersuchungen wird teilweise auch eine Reduktion von IKr und IKs beschrieben. Für viele Ionenkanäle sind Unterschiede in der transmuralen Verteilung bekannt, so dass die Messung der delayed rectifier Kaliumkanäle in vorliegender Untersuchung getrennt nach subepikardialen, mittleren und subendokardialen Arealen des linksventrikulären Myokards durchgeführt wurde. Ein weiterer Aspekt der Arbeit ist der Vergleich der Repolarisation in verschiedenen Spezies, was bei der Interpretation von tierexperimentell gewonnenen Ergebnissen von großer Bedeutung ist. Dazu wurden IKr und IKs in verschiedenen Tiermodellen (Meerschweinchen, Schwein und Hund) unter Berücksichtigung der transmuralen Verteilung gemessen und mit den aus humanem Myokard gewonnenen Ergebnissen verglichen. Die porenbildenden alpha-Untereinheiten von IKr und IKs, KCNH2 und KCNQ1, wurden im heterologen Zellsystem exprimiert und deren Sensitivität auf IKr bzw. IKs spezifische Kanalblocker überprüft. Methodisch wurde für oben genannte Fragestellungen die patch clamp Technik in Ganzzellkonfiguration verwendet; zur Aufzeichnung von Aktionspotentialen und zum Nachweis von IKs in humanem Myokard wurde die perforated patch Methode verwendet, um eine Veränderung des intrazellulären Milieus mit Dialyse von Botenstoffen zu vermeiden. Auf molekularbiologischer Ebene wurde die mRNA-Menge der IKr und IKs alpha-Untereinheiten KCNH2 und KCNQ1, sowie deren (potentielle) beta-Untereinheiten KCNE1 und KCNE2 mit Hilfe der quantitativen real-time PCR bestimmt. Dabei konnten folgende Ergebnisse erzielt werden: IKr ließ sich im Menschen in allen Zellen in relevanter Größe nachweisen; der Strom ließ sich sowohl durch den spezifischen IKr-Blocker Dofetilide, aber auch durch Pharmaka aus nicht-kardiologischen Anwendungsgebieten wie das Neuroleptikum Haloperidol inhibieren. Dabei wies der Kanal eine Abhängigkeit von der extrazellulären Kaliumkonzentration auf, die sich umgekehrt zum elektrochemischen Gradienten verhielt: höhere extrazelluläre Kaliumkonzentrationen bewirkten eine Steigerung von IKr. IKs (definiert als HMR 1556 sensitiver Strom) ließ sich in humanem Myokard nur unter speziell optimierten Bedingungen (perforated patch Technik, adrenerge Stimulation mit Isoproterenol) nachweisen. Er hatte dann eine sehr kleine Stromdichte, die eine weitere elektrophysiologische und pharmakologische Charakterisierung nicht erlaubte. In Meerschwein, Schwein und Hund war IKr und IKs nachweisbar; dabei hatte das Meerschweinchen die höchsten Stromdichten von delayed rectifier Kaliumkanälen, das Schwein kleinere, aber robuste IKr und IKs-Ströme. Beim Hund fanden sich deutlich geringere Stromdichten für IKr und IKs; IKs war nicht in allen Zellen nachweisbar. IKr wies in allen Spezies epikardial eine kleinere Stromdichte auf als in mittleren und endokardialen Arealen. Dieser transmurale Gradient mit geringerer Stromdichte in epikardialen Arealen war nur in nicht-insuffizienten humanen Herzen nachweisbar; bei Herzinsuffizienz kam es zur Angleichung der Stromdichten in allen drei untersuchten Schichten. KCNH2 und KCNQ1 generierten im heterologen Zellsystem IKr bzw. IKs ähnliche Ströme, die jeweils typische Sensitivität für IKr bzw. IKs Blocker aufwiesen. Für KCNH2 und KCNQ1 mRNA waren keine transmuralen Gradienten und keine Regulation bei Herzinsuffizienz nachweisbar; KCNE1 und KCNE2 zeigten bei Herzinsuffizienz höhere Expressionslevel. Somit ließ sich das Vorhandensein und die Bedeutung von IKr und IKs in humanem Myokard belegen, wobei IKs nur in sehr geringer – in Ruhe gerade noch nachweisbarer – Stromdichte vorkommt. Dennoch lässt sich seine Bedeutung am Vorhandensein von Mutationen in KCNQ1, die lebensbedrohliche Rhythmusstörungen verursachen können, ablesen. Auch für KCNH2, das für die alpha-Untereinheit von IKr kodiert, sowie für die (potentiellen) beta-Untereinheiten KCNE1 und KCNE2 sind Mutationen beschrieben, die ursächlich für das angeborene Long QT-Syndrom sind. Damit scheinen IKr und IKs für die Repolarisation des humanen Aktionspotentials essentiell zu sein, wobei IKr aufgrund der relativ großen Stromdichte die wesentliche Rolle bei der Repolarisation des Aktionspotenials in humanem Myokard zukommt. IKs hat große Bedeutung als „Repolarisationsreserve“ zur Stabilisierung der Repolarisation unter Bedingungen erhöhter Katecholaminspiegel, bei tachykarden Herzfrequenzen und bei verzögerter Repolarisation wie durch Hypokaliämie, IKr-Blocker oder IKr-Mutationen und Polymorphismen. Mutationen in Proteinuntereinheiten von IKs können zur Störung dieser Repolarisationsreserve führen und somit Rhythmusstörungen auslösen, die charakteristischerweise in Situationen erhöhter sympathischer Aktivierung auftreten. Die Ausstattung der unterschiedlichen Spezies mit repolarisierenden Kaliumströmen wies erhebliche Unterscheide auf, was bei der Interpretation tierexperimentell gewonnener Daten zu berücksichtigen ist. Insbesondere korreliert eine Abnahme der Ruheherzfrequenz der Spezies mit einer deutlichen Reduktion der repolarisierenden Ströme entsprechend dem Konzept der speziesabhängigen Variabilität der repolarisierenden bei Konstanz der depolarisierenden Ströme (INa und ICa). Transmurale Unterschiede in der Expression von Ionenkanälen scheinen notwendig für den Ablauf der Erregungsbildung und Erregungsrückbildung zu sein. Die epikardial geringeren Stromdichten für IKr waren in allen untersuchten Spezies nachweisbar. Die Beobachtung einer geringeren Stromdichte der repolarisierenden Kaliumströme epikardial bedeutet, dass andere Ionenkanäle als IKr und IKs für die dort kürzere Aktionspotentialdauer verantwortlich sein müsssen. Eine Reduktion der Stromdichte bei Herzinsuffizienz, wie sie beispielsweise für Ito beschrieben ist, konnte für IKr nicht nachgewiesen werden. Jedoch fand sich eine Nivellierung des physiologischerweise Vorhandenen transmuralen Gradienten, was grundsätzlich zu einer Störung des physiologischen Erregungsablaufes mit Begünstigung von Rhythmusstörungen in insuffizienten Herzen beitragen könnte. Aus dem dualen Repolarisationsmechanismus im menschlichen Ventikelmyokard werden klinische Konstellationen mit Rhythmusstörungen verständlich, insbesondere in Hinblick auf die Variabilität der Empfindlichkeit gegenüber Medikamenten mit blockierender Wirkung auf IKr. Dabei stellt IKs in unterschiedlichem Maße eine Kompensation im Sinne einer Repolarisationsreserve bereit.