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Dive into the research topics where Upasana Tayal is active.

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Featured researches published by Upasana Tayal.


Nature Genetics | 2017

Titin-truncating variants affect heart function in disease cohorts and the general population

Sebastian Schafer; Antonio de Marvao; Eleonora Adami; Lorna R. Fiedler; Benjamin Ng; Ester Khin; Owen J. L. Rackham; Sebastiaan van Heesch; Chee Jian Pua; Miao Kui; Roddy Walsh; Upasana Tayal; Sanjay Prasad; Timothy Dawes; Nicole Shi Jie Ko; David Sim; Laura Lihua Chan; Calvin Chin; Francesco Mazzarotto; Paul J.R. Barton; Franziska Kreuchwig; Dominique P.V. de Kleijn; Teresa Totman; Carlo Biffi; Nicole Tee; Daniel Rueckert; Valentin Schneider; Allison Faber; Vera Regitz-Zagrosek; Jonathan G. Seidman

Titin-truncating variants (TTNtv) commonly cause dilated cardiomyopathy (DCM). TTNtv are also encountered in ∼1% of the general population, where they may be silent, perhaps reflecting allelic factors. To better understand TTNtv, we integrated TTN allelic series, cardiac imaging and genomic data in humans and studied rat models with disparate TTNtv. In patients with DCM, TTNtv throughout titin were significantly associated with DCM. Ribosomal profiling in rat showed the translational footprint of premature stop codons in Ttn, TTNtv-position-independent nonsense-mediated degradation of the mutant allele and a signature of perturbed cardiac metabolism. Heart physiology in rats with TTNtv was unremarkable at baseline but became impaired during cardiac stress. In healthy humans, machine-learning-based analysis of high-resolution cardiac imaging showed TTNtv to be associated with eccentric cardiac remodeling. These data show that TTNtv have molecular and physiological effects on the heart across species, with a continuum of expressivity in health and disease.


Circulation | 2017

Association between mid-wall late gadolinium enhancement and sudden cardiac death in patients with dilated cardiomyopathy and mild and moderate left ventricular systolic dysfunction

Brian Halliday; Ankur Gulati; Aamir Ali; Kaushik Guha; Simon Newsome; Monika Arzanauskaite; Vassilios S. Vassiliou; Amrit Lota; Cemil Izgi; Upasana Tayal; Zohya Khalique; Colin Stirrat; Dominique Auger; Nilesh Pareek; Tevfik F Ismail; Stuart D. Rosen; Ali Vazir; Francisco Alpendurada; John Gregson; Michael P. Frenneaux; Martin R. Cowie; John G.F. Cleland; Stuart A. Cook; Dudley J. Pennell; Sanjay Prasad

Background: Current guidelines only recommend the use of an implantable cardioverter defibrillator in patients with dilated cardiomyopathy for the primary prevention of sudden cardiac death (SCD) in those with a left ventricular ejection fraction (LVEF) <35%. However, registries of out-of-hospital cardiac arrests demonstrate that 70% to 80% of such patients have an LVEF >35%. Patients with an LVEF >35% also have low competing risks of death from nonsudden causes. Therefore, those at high risk of SCD may gain longevity from successful implantable cardioverter defibrillator therapy. We investigated whether late gadolinium enhancement (LGE) cardiovascular magnetic resonance identified patients with dilated cardiomyopathy without severe LV systolic dysfunction at high risk of SCD. Methods: We prospectively investigated the association between midwall LGE and the prespecified primary composite outcome of SCD or aborted SCD among consecutive referrals with dilated cardiomyopathy and an LVEF ≥40% to our center between January 2000 and December 2011 who did not have a preexisting indication for implantable cardioverter defibrillator implantation. Results: Of 399 patients (145 women, median age 50 years, median LVEF 50%, 25.3% with LGE) followed for a median of 4.6 years, 18 of 101 (17.8%) patients with LGE reached the prespecified end point, compared with 7 of 298 (2.3%) without (hazard ratio [HR], 9.2; 95% confidence interval [CI], 3.9–21.8; P<0.0001). Nine patients (8.9%) with LGE compared with 6 (2.0%) without (HR, 4.9; 95% CI, 1.8–13.5; P=0.002) died suddenly, whereas 10 patients (9.9%) with LGE compared with 1 patient (0.3%) without (HR, 34.8; 95% CI, 4.6–266.6; P<0.001) had aborted SCD. After adjustment, LGE predicted the composite end point (HR, 9.3; 95% CI, 3.9–22.3; P<0.0001), SCD (HR, 4.8; 95% CI, 1.7–13.8; P=0.003), and aborted SCD (HR, 35.9; 95% CI, 4.8–271.4; P<0.001). Estimated HRs for the primary end point for patients with an LGE extent of 0% to 2.5%, 2.5% to 5%, and >5% compared with those without LGE were 10.6 (95% CI, 3.9–29.4), 4.9 (95% CI, 1.3–18.9), and 11.8 (95% CI, 4.3–32.3), respectively. Conclusions: Midwall LGE identifies a group of patients with dilated cardiomyopathy and an LVEF ≥40% at increased risk of SCD and low risk of nonsudden death who may benefit from implantable cardioverter defibrillator implantation. Clinical Trial Registration: URL: http://clinicaltrials.gov. Unique identifier: NCT00930735.


Genome Medicine | 2017

Genetics and genomics of dilated cardiomyopathy and systolic heart failure

Upasana Tayal; Sanjay Prasad; Stuart A. Cook

Heart failure is a major health burden, affecting 40 million people globally. One of the main causes of systolic heart failure is dilated cardiomyopathy (DCM), the leading global indication for heart transplantation. Our understanding of the genetic basis of both DCM and systolic heart failure has improved in recent years with the application of next-generation sequencing and genome-wide association studies (GWAS). This has enabled rapid sequencing at scale, leading to the discovery of many novel rare variants in DCM and of common variants in both systolic heart failure and DCM. Identifying rare and common genetic variants contributing to systolic heart failure has been challenging given its diverse and multiple etiologies. DCM, however, although rarer, is a reasonably specific and well-defined condition, leading to the identification of many rare genetic variants. Truncating variants in titin represent the single largest genetic cause of DCM. Here, we review the progress and challenges in the detection of rare and common variants in DCM and systolic heart failure, and the particular challenges in accurate and informed variant interpretation, and in understanding the effects of these variants. We also discuss how our increasing genetic knowledge is changing clinical management. Harnessing genetic data and translating it to improve risk stratification and the development of novel therapeutics represents a major challenge and unmet critical need for patients with heart failure and their families.


Journal of the American College of Cardiology | 2017

Phenotype and Clinical Outcomes of Titin Cardiomyopathy.

Upasana Tayal; Simon Newsome; Rachel Buchan; Nicola Whiffin; Brian Halliday; Amrit Lota; Angharad M. Roberts; A. John Baksi; Inga Voges; Will Midwinter; Alijca Wilk; Risha Govind; Roddy Walsh; Piers E.F. Daubeney; Julian W.E. Jarman; Resham Baruah; Michael Frenneaux; Paul J.R. Barton; Dudley J. Pennell; James S. Ware; Sanjay Prasad; Stuart A. Cook

Background Improved understanding of dilated cardiomyopathy (DCM) due to titin truncation (TTNtv) may help guide patient stratification. Objectives The purpose of this study was to establish relationships among TTNtv genotype, cardiac phenotype, and outcomes in DCM. Methods In this prospective, observational cohort study, DCM patients underwent clinical evaluation, late gadolinium enhancement cardiovascular magnetic resonance, TTN sequencing, and adjudicated follow-up blinded to genotype for the primary composite endpoint of cardiovascular death, and major arrhythmic and major heart failure events. Results Of 716 subjects recruited (mean age 53.5 ± 14.3 years; 469 men [65.5%]; 577 [80.6%] New York Heart Association function class I/II), 83 (11.6%) had TTNtv. Patients with TTNtv were younger at enrollment (49.0 years vs. 54.1 years; p = 0.002) and had lower indexed left ventricular mass (5.1 g/m2 reduction; padjusted = 0.03) compared with patients without TTNtv. There was no difference in biventricular ejection fraction between TTNtv+/− groups. Overall, 78 of 604 patients (12.9%) met the primary endpoint (median follow-up 3.9 years; interquartile range: 2.0 to 5.8 years), including 9 of 71 patients with TTNtv (12.7%) and 69 of 533 (12.9%) without. There was no difference in the composite primary outcome of cardiovascular death, heart failure, or arrhythmic events, for patients with or without TTNtv (hazard ratio adjusted for primary endpoint: 0.92 [95% confidence interval: 0.45 to 1.87]; p = 0.82). Conclusions In this large, prospective, genotype-phenotype study of ambulatory DCM patients, we show that prognostic factors for all-cause DCM also predict outcome in TTNtv DCM, and that TTNtv DCM does not appear to be associated with worse medium-term prognosis.


Journal of the American College of Cardiology | 2017

Truncating Variants in Titin Independently Predict Early Arrhythmias in Patients With Dilated Cardiomyopathy

Upasana Tayal; Simon Newsome; Rachel Buchan; Nicola Whiffin; Roddy Walsh; Paul J.R. Barton; James S. Ware; Stuart A. Cook; Sanjay Prasad

Dilated cardiomyopathy (DCM) has a population prevalence of ∼1 in 500 and is associated with prognostically adverse arrhythmias at initial disease presentation in up to one-third of patients [(1)][1]. While increasing age, male sex, and impaired ventricular function are established arrhythmic risk


Journal of the American College of Cardiology | 2018

Genetic Etiology for Alcohol-Induced Cardiac Toxicity

James S. Ware; Almudena Amor-Salamanca; Upasana Tayal; Risha Govind; Isabel Serrano; Joel Salazar-Mendiguchía; José Manuel García-Pinilla; Domingo A. Pascual-Figal; Julio Núñez; Gonzalo Guzzo-Merello; Emiliano Gonzalez-Vioque; Alfredo Bardají; Nicolás Manito; Miguel A. López-Garrido; Laura Padrón-Barthe; Elizabeth Edwards; Nicola Whiffin; Roddy Walsh; Rachel Buchan; William Midwinter; Alicja Wilk; Sanjay Prasad; Antonis Pantazis; John Baski; Declan P. O’Regan; Luis Alonso-Pulpón; Stuart A. Cook; Enrique Lara-Pezzi; Paul J.R. Barton; Pablo García-Pavía

Background Alcoholic cardiomyopathy (ACM) is defined by a dilated and impaired left ventricle due to chronic excess alcohol consumption. It is largely unknown which factors determine cardiac toxicity on exposure to alcohol. Objectives This study sought to evaluate the role of variation in cardiomyopathy-associated genes in the pathophysiology of ACM, and to examine the effects of alcohol intake and genotype on dilated cardiomyopathy (DCM) severity. Methods The authors characterized 141 ACM cases, 716 DCM cases, and 445 healthy volunteers. The authors compared the prevalence of rare, protein-altering variants in 9 genes associated with inherited DCM. They evaluated the effect of genotype and alcohol consumption on phenotype in DCM. Results Variants in well-characterized DCM-causing genes were more prevalent in patients with ACM than control subjects (13.5% vs. 2.9%; p = 1.2 ×10−5), but similar between patients with ACM and DCM (19.4%; p = 0.12) and with a predominant burden of titin truncating variants (TTNtv) (9.9%). Separately, we identified an interaction between TTN genotype and excess alcohol consumption in a cohort of DCM patients not meeting ACM criteria. On multivariate analysis, DCM patients with a TTNtv who consumed excess alcohol had an 8.7% absolute reduction in ejection fraction (95% confidence interval: −2.3% to −15.1%; p < 0.007) compared with those without TTNtv and excess alcohol consumption. The presence of TTNtv did not predict phenotype, outcome, or functional recovery on treatment in ACM patients. Conclusions TTNtv represent a prevalent genetic predisposition for ACM, and are also associated with a worse left ventricular ejection fraction in DCM patients who consume alcohol above recommended levels. Familial evaluation and genetic testing should be considered in patients presenting with ACM.


Journal of Cardiovascular Magnetic Resonance | 2016

Accelerating cine DENSE using a zonal excitation

Andrew D Scott; Upasana Tayal; Sonia Nielles-Vallespin; Pedro Ferreira; Xiaodong Zhong; Frederick H. Epstein; Sanjay Prasad; David N. Firmin

Background Displacement encoding with stimulated echoes (DENSE) is an accurate and reproducible [1,2] technique for measuring myocardial strain throughout the cardiac cycle. The strain maps provided could be valuable in dilated cardiomyopathy (DCM) patients where strain has a prognostic value [3]. However, DENSE acquisitions typically require long breath holds which are difficult for DCM patients. In this work we accelerate DENSE acquisitions by selectively exciting a volume of tissue around the heart. This allows fewer spiral interleaves to be acquired without aliasing and, therefore a shorter breath hold.


Genetics in Medicine | 2018

CardioClassifier: disease- and gene-specific computational decision support for clinical genome interpretation

Nicola Whiffin; Roddy Walsh; Risha Govind; Matthew Edwards; Mian Ilyas Ahmad; Xiaolei Zhang; Upasana Tayal; Rachel Buchan; William Midwinter; Alicja Wilk; Hanna Najgebauer; Catherine Francis; Sam Wilkinson; Thomas Monk; Laura Brett; Declan O'Regan; Sanjay Prasad; Deborah J. Morris-Rosendahl; Paul J.R. Barton; Elizabeth Edwards; James S. Ware; Stuart A. Cook

PurposeInternationally adopted variant interpretation guidelines from the American College of Medical Genetics and Genomics (ACMG) are generic and require disease-specific refinement. Here we developed CardioClassifier (http://www.cardioclassifier.org), a semiautomated decision-support tool for inherited cardiac conditions (ICCs).MethodsCardioClassifier integrates data retrieved from multiple sources with user-input case-specific information, through an interactive interface, to support variant interpretation. Combining disease- and gene-specific knowledge with variant observations in large cohorts of cases and controls, we refined 14 computational ACMG criteria and created three ICC-specific rules.ResultsWe benchmarked CardioClassifier on 57 expertly curated variants and show full retrieval of all computational data, concordantly activating 87.3% of rules. A generic annotation tool identified fewer than half as many clinically actionable variants (64/219 vs. 156/219, Fisher’s P = 1.1  ×  10−18), with important false positives, illustrating the critical importance of disease and gene-specific annotations. CardioClassifier identified putatively disease-causing variants in 33.7% of 327 cardiomyopathy cases, comparable with leading ICC laboratories. Through addition of manually curated data, variants found in over 40% of cardiomyopathy cases are fully annotated, without requiring additional user-input data.ConclusionCardioClassifier is an ICC-specific decision-support tool that integrates expertly curated computational annotations with case-specific data to generate fast, reproducible, and interactive variant pathogenicity reports, according to best practice guidelines.


European Journal of Heart Failure | 2018

Sex- and age-based differences in the natural history and outcome of dilated cardiomyopathy.

Brian Halliday; Ankur Gulati; Aamir Ali; Simon Newsome; Amrit Lota; Upasana Tayal; Vassilios S. Vassiliou; Monika Arzanauskaite; Cemil Izgi; Kaushiga Krishnathasan; Arvind Singhal; Kayla Chiew; John Gregson; Michael P. Frenneaux; Stuart A. Cook; Dudley J. Pennell; Peter Collins; John G.F. Cleland; Sanjay Prasad

To evaluate the relationship between sex, age and outcome in dilated cardiomyopathy (DCM).


JRSM Cardiovascular Disease | 2017

Myocardial remodelling and recovery in dilated cardiomyopathy

Upasana Tayal; Sanjay Prasad

Myocardial reverse remodeling has been reported to occur in 25–70% of patients with dilated cardiomyopathy. It is not yet fully understood whether remodeling represents disease remission or cure and which hearts retain this capacity to recover. In this review article we discuss the capacity for recovery in DCM, the prognostic implications of this recovery and potential clinical and imaging predictors for myocardial remodeling.

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Stuart A. Cook

National University of Singapore

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Brian Halliday

National Institutes of Health

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Dudley J. Pennell

National Institutes of Health

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Roddy Walsh

Imperial College London

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Amrit Lota

National Institutes of Health

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