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Burden SJ, Alshehri R, Lamata P, Poston L, Taylor PD. Maternal obesity and offspring cardiovascular remodelling - the effect of preconception and antenatal lifestyle interventions: a systematic review. Int J Obes (Lond) 2024; 48:1045-1064. [PMID: 38898228 PMCID: PMC11281905 DOI: 10.1038/s41366-024-01536-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/02/2024] [Indexed: 06/21/2024]
Abstract
BACKGROUND Preconception or antenatal lifestyle interventions in women with obesity may prevent adverse cardiovascular outcomes in the child, including cardiac remodelling. We undertook a systematic review of the existing data to examine the impact of randomised controlled trials of lifestyle interventions in pregnant women with obesity on offspring cardiac remodelling and related parameters of cardiovascular health. METHODS This review was registered with PROSPERO (CRD42023454762) and aligns with PRISMA guidelines. PubMed, Embase, and previous reviews were systematically searched. Follow-up studies from randomised trials of lifestyle interventions in pregnant women with obesity, which included offspring cardiac remodelling or related cardiovascular parameters as outcome measures, were included based on pre-defined inclusion criteria. RESULTS Eight studies from five randomised controlled trials were included after screening 3252 articles. Interventions included antenatal exercise (n = 2), diet and physical activity (n = 2), and preconception diet and physical activity (n = 1). Children were <2-months to 3-7-years-old, with sample sizes ranging between n = 18-404. Reduced cardiac remodelling, with reduced interventricular septal wall thickness, was consistently reported. Some studies identified improved systolic and diastolic function and a reduced resting heart rate. Risk of bias analyses rated all studies as 'fair' (some risk of bias). A high loss-to-follow-up was a common limitation. CONCLUSION Although there is some evidence to suggest that lifestyle interventions in women with obesity may limit offspring cardiac remodelling, further high-quality longitudinal studies with larger sample sizes are required to confirm these observations and to determine whether these changes persist to adulthood. Child offspring cardiovascular health benefits of preconception and antenatal lifestyle interventions in women with obesity.
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Affiliation(s)
- Samuel J Burden
- Department of Women and Children's Health, School of Life Course & Population Sciences, King's College London, London, UK.
| | - Rahaf Alshehri
- Cardiovascular Medicine and Science Research, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, UK
| | - Pablo Lamata
- Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Lucilla Poston
- Department of Women and Children's Health, School of Life Course & Population Sciences, King's College London, London, UK
| | - Paul D Taylor
- Department of Women and Children's Health, School of Life Course & Population Sciences, King's College London, London, UK
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Meng Q, Bai W, O’Regan DP, Rueckert D. DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning. IEEE TRANSACTIONS ON MEDICAL IMAGING 2024; 43:1489-1500. [PMID: 38064325 PMCID: PMC7615801 DOI: 10.1109/tmi.2023.3340118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2024]
Abstract
3D motion estimation from cine cardiac magnetic resonance (CMR) images is important for the assessment of cardiac function and the diagnosis of cardiovascular diseases. Current state-of-the art methods focus on estimating dense pixel-/voxel-wise motion fields in image space, which ignores the fact that motion estimation is only relevant and useful within the anatomical objects of interest, e.g., the heart. In this work, we model the heart as a 3D mesh consisting of epi- and endocardial surfaces. We propose a novel learning framework, DeepMesh, which propagates a template heart mesh to a subject space and estimates the 3D motion of the heart mesh from CMR images for individual subjects. In DeepMesh, the heart mesh of the end-diastolic frame of an individual subject is first reconstructed from the template mesh. Mesh-based 3D motion fields with respect to the end-diastolic frame are then estimated from 2D short- and long-axis CMR images. By developing a differentiable mesh-to-image rasterizer, DeepMesh is able to leverage 2D shape information from multiple anatomical views for 3D mesh reconstruction and mesh motion estimation. The proposed method estimates vertex-wise displacement and thus maintains vertex correspondences between time frames, which is important for the quantitative assessment of cardiac function across different subjects and populations. We evaluate DeepMesh on CMR images acquired from the UK Biobank. We focus on 3D motion estimation of the left ventricle in this work. Experimental results show that the proposed method quantitatively and qualitatively outperforms other image-based and mesh-based cardiac motion tracking methods.
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Affiliation(s)
- Qingjie Meng
- The Biomedical Image Analysis Group, Department of Computing, Imperial College London, SW7 2AZ, UK
| | - Wenjia Bai
- The Biomedical Image Analysis Group, Department of Computing, Imperial College London, SW7 2AZ, UK; Department of Brain Sciences, Imperial College London
| | - Declan P O’Regan
- The MRC London Institute of Medical Sciences, Imperial College London, W12 0HS, UK
| | - Daniel Rueckert
- The Biomedical Image Analysis Group, Department of Computing, Imperial College London, SW7 2AZ, UK; Klinikum rechts der Isar, Technical University Munich, Germany
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Hall M, de Marvao A, Schweitzer R, Cromb D, Colford K, Jandu P, O’Regan DP, Ho A, Price A, Chappell LC, Rutherford MA, Story L, Lamata P, Hutter J. Preeclampsia Associated Differences in the Placenta, Fetal Brain, and Maternal Heart Can Be Demonstrated Antenatally: An Observational Cohort Study Using MRI. Hypertension 2024; 81:836-847. [PMID: 38314606 PMCID: PMC7615760 DOI: 10.1161/hypertensionaha.123.22442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/02/2024] [Indexed: 02/06/2024]
Abstract
BACKGROUND Preeclampsia is a multiorgan disease of pregnancy that has short- and long-term implications for the woman and fetus, whose immediate impact is poorly understood. We present a novel multiorgan approach to magnetic resonance imaging (MRI) investigation of preeclampsia, with the acquisition of maternal cardiac, placental, and fetal brain anatomic and functional imaging. METHODS An observational study was performed recruiting 3 groups of pregnant women: those with preeclampsia, chronic hypertension, or no medical complications. All women underwent a cardiac MRI, and pregnant women underwent a placental-fetal MRI. Cardiac analysis for structural, morphological, and flow data were undertaken; placenta and fetal brain volumetric and T2* (which describes relative tissue oxygenation) data were obtained. All results were corrected for gestational age. A nonpregnant cohort was identified for inclusion in the statistical shape analysis. RESULTS Seventy-eight MRIs were obtained during pregnancy. Cardiac MRI analysis demonstrated higher left ventricular mass in preeclampsia with 3-dimensional modeling revealing additional specific characteristics of eccentricity and outflow track remodeling. Pregnancies affected by preeclampsia demonstrated lower placental and fetal brain T2*. Within the preeclampsia group, 23% placental T2* results were consistent with controls, these were the only cases with normal placental histopathology. Fetal brain T2* results were consistent with normal controls in 31% of cases. CONCLUSIONS We present the first holistic assessment of the immediate implications of preeclampsia on maternal heart, placenta, and fetal brain. As well as having potential clinical implications for the risk stratification and management of women with preeclampsia, this gives an insight into the disease mechanism.
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Affiliation(s)
- Megan Hall
- Department of Women and Children’s Health (M.H., A.d.M., A.H., L.C.C., L.S.), King’s College London, United Kingdom
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
| | - Antonio de Marvao
- Department of Women and Children’s Health (M.H., A.d.M., A.H., L.C.C., L.S.), King’s College London, United Kingdom
- School of Cardiovascular Medicine (A.d.M., R.S.), King’s College London, United Kingdom
- MRC London Institute of Medical Sciences, Imperial College London, United Kingdom (A.d.M., R.S., D.P.O.)
| | - Ronny Schweitzer
- School of Cardiovascular Medicine (A.d.M., R.S.), King’s College London, United Kingdom
- MRC London Institute of Medical Sciences, Imperial College London, United Kingdom (A.d.M., R.S., D.P.O.)
| | - Daniel Cromb
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
| | - Kathleen Colford
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
| | - Priya Jandu
- GKT School of Medical Education (P.J.), King’s College London, United Kingdom
| | - Declan P O’Regan
- MRC London Institute of Medical Sciences, Imperial College London, United Kingdom (A.d.M., R.S., D.P.O.)
| | - Alison Ho
- Department of Women and Children’s Health (M.H., A.d.M., A.H., L.C.C., L.S.), King’s College London, United Kingdom
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
| | - Anthony Price
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
- Centre for Medical Engineering (A.P., P.L.), King’s College London, United Kingdom
| | - Lucy C. Chappell
- Department of Women and Children’s Health (M.H., A.d.M., A.H., L.C.C., L.S.), King’s College London, United Kingdom
| | - Mary A. Rutherford
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
| | - Lisa Story
- Department of Women and Children’s Health (M.H., A.d.M., A.H., L.C.C., L.S.), King’s College London, United Kingdom
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
| | - Pablo Lamata
- Centre for Medical Engineering (A.P., P.L.), King’s College London, United Kingdom
| | - Jana Hutter
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
- Smart Imaging Lab, Radiological Institute, University Hospital Erlangen, Germany (J.H.)
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Allouba M, Walsh R, Afify A, Hosny M, Halawa S, Galal A, Fathy M, Theotokis PI, Boraey A, Ellithy A, Buchan R, Govind R, Whiffin N, Anwer S, ElGuindy A, Ware JS, Barton PJR, Yacoub M, Aguib Y. Ethnicity, consanguinity, and genetic architecture of hypertrophic cardiomyopathy. Eur Heart J 2023; 44:5146-5158. [PMID: 37431535 PMCID: PMC10733735 DOI: 10.1093/eurheartj/ehad372] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 03/28/2023] [Accepted: 05/24/2023] [Indexed: 07/12/2023] Open
Abstract
AIMS Hypertrophic cardiomyopathy (HCM) is characterized by phenotypic heterogeneity that is partly explained by the diversity of genetic variants contributing to disease. Accurate interpretation of these variants constitutes a major challenge for diagnosis and implementing precision medicine, especially in understudied populations. The aim is to define the genetic architecture of HCM in North African cohorts with high consanguinity using ancestry-matched cases and controls. METHODS AND RESULTS Prospective Egyptian patients (n = 514) and controls (n = 400) underwent clinical phenotyping and genetic testing. Rare variants in 13 validated HCM genes were classified according to standard clinical guidelines and compared with a prospective HCM cohort of majority European ancestry (n = 684). A higher prevalence of homozygous variants was observed in Egyptian patients (4.1% vs. 0.1%, P = 2 × 10-7), with variants in the minor HCM genes MYL2, MYL3, and CSRP3 more likely to present in homozygosity than the major genes, suggesting these variants are less penetrant in heterozygosity. Biallelic variants in the recessive HCM gene TRIM63 were detected in 2.1% of patients (five-fold greater than European patients), highlighting the importance of recessive inheritance in consanguineous populations. Finally, rare variants in Egyptian HCM patients were less likely to be classified as (likely) pathogenic compared with Europeans (40.8% vs. 61.6%, P = 1.6 × 10-5) due to the underrepresentation of Middle Eastern populations in current reference resources. This proportion increased to 53.3% after incorporating methods that leverage new ancestry-matched controls presented here. CONCLUSION Studying consanguineous populations reveals novel insights with relevance to genetic testing and our understanding of the genetic architecture of HCM.
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Affiliation(s)
- Mona Allouba
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
| | - Roddy Walsh
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Department of Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands
| | - Alaa Afify
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - Mohammed Hosny
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
- Cardiology Department, Kasr Al Aini Medical School, Cairo University, Kasr Al Aini Street, Cairo 11562, Egypt
| | - Sarah Halawa
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - Aya Galal
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - Mariam Fathy
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - Pantazis I Theotokis
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
| | - Ahmed Boraey
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
- Cardiology Department, Kasr Al Aini Medical School, Cairo University, Kasr Al Aini Street, Cairo 11562, Egypt
| | - Amany Ellithy
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - Rachel Buchan
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Royal Brompton & Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust, London, Sydney St, London SW3 6NP, UK
| | - Risha Govind
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Royal Brompton & Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust, London, Sydney St, London SW3 6NP, UK
- Present affiliation: Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, UK
- Present affiliation: National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Foundation Trust and King's College London, 16 De Crespigny Park, London SE5 8AF, UK
| | - Nicola Whiffin
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Royal Brompton & Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust, London, Sydney St, London SW3 6NP, UK
- Present affiliation: Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Dr, Headington, Oxford OX3 7BN, UK
| | - Shehab Anwer
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - Ahmed ElGuindy
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - James S Ware
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Royal Brompton & Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust, London, Sydney St, London SW3 6NP, UK
- MRC London Institute of Medical Sciences, Imperial College London, Du Cane Rd, London W12 0NN, UK
| | - Paul J R Barton
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Royal Brompton & Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust, London, Sydney St, London SW3 6NP, UK
- MRC London Institute of Medical Sciences, Imperial College London, Du Cane Rd, London W12 0NN, UK
| | - Magdi Yacoub
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Harefield Heart Science Centre, Hill End Rd, Harefield, Uxbridge UB9 6JH, UK
| | - Yasmine Aguib
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
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5
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Curran L, de Marvao A, Inglese P, McGurk KA, Schiratti PR, Clement A, Zheng SL, Li S, Pua CJ, Shah M, Jafari M, Theotokis P, Buchan RJ, Jurgens SJ, Raphael CE, Baksi AJ, Pantazis A, Halliday BP, Pennell DJ, Bai W, Chin CW, Tadros R, Bezzina CR, Watkins H, Cook SA, Prasad SK, Ware JS, O’Regan DP. Genotype-Phenotype Taxonomy of Hypertrophic Cardiomyopathy. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2023; 16:e004200. [PMID: 38014537 PMCID: PMC10729901 DOI: 10.1161/circgen.123.004200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 10/25/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Hypertrophic cardiomyopathy (HCM) is an important cause of sudden cardiac death associated with heterogeneous phenotypes, but there is no systematic framework for classifying morphology or assessing associated risks. Here, we quantitatively survey genotype-phenotype associations in HCM to derive a data-driven taxonomy of disease expression. METHODS We enrolled 436 patients with HCM (median age, 60 years; 28.8% women) with clinical, genetic, and imaging data. An independent cohort of 60 patients with HCM from Singapore (median age, 59 years; 11% women) and a reference population from the UK Biobank (n=16 691; mean age, 55 years; 52.5% women) were also recruited. We used machine learning to analyze the 3-dimensional structure of the left ventricle from cardiac magnetic resonance imaging and build a tree-based classification of HCM phenotypes. Genotype and mortality risk distributions were projected on the tree. RESULTS Carriers of pathogenic or likely pathogenic variants for HCM had lower left ventricular mass, but greater basal septal hypertrophy, with reduced life span (mean follow-up, 9.9 years) compared with genotype negative individuals (hazard ratio, 2.66 [95% CI, 1.42-4.96]; P<0.002). Four main phenotypic branches were identified using unsupervised learning of 3-dimensional shape: (1) nonsarcomeric hypertrophy with coexisting hypertension; (2) diffuse and basal asymmetrical hypertrophy associated with outflow tract obstruction; (3) isolated basal hypertrophy; and (4) milder nonobstructive hypertrophy enriched for familial sarcomeric HCM (odds ratio for pathogenic or likely pathogenic variants, 2.18 [95% CI, 1.93-2.28]; P=0.0001). Polygenic risk for HCM was also associated with different patterns and degrees of disease expression. The model was generalizable to an independent cohort (trustworthiness, M1: 0.86-0.88). CONCLUSIONS We report a data-driven taxonomy of HCM for identifying groups of patients with similar morphology while preserving a continuum of disease severity, genetic risk, and outcomes. This approach will be of value in understanding the causes and consequences of disease diversity.
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Affiliation(s)
- Lara Curran
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
| | - Antonio de Marvao
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
- Department of Women and Children’s Health (A.d.M.)
- British Heart Foundation Centre of Research Excellence, School of Cardiovascular & Metabolic Medicine and Sciences, King’s College London, United Kingdom (A.d.M.)
| | - Paolo Inglese
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Kathryn A. McGurk
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Pierre-Raphaël Schiratti
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Adam Clement
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Sean L. Zheng
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Surui Li
- Biomedical Image Analysis Group, Department of Computing (S.L., W.B.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Chee Jian Pua
- National Heart Research Institute Singapore, Singapore, PRC (C.J.P., C.W.L.C., S.A.C.)
| | - Mit Shah
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Mina Jafari
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Biomedical Image Analysis Group, Department of Computing (S.L., W.B.)
- Department of Brain Sciences, Imperial College London, London, United Kingdom (W.B.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
- Department of Women and Children’s Health (A.d.M.)
- British Heart Foundation Centre of Research Excellence, School of Cardiovascular & Metabolic Medicine and Sciences, King’s College London, United Kingdom (A.d.M.)
- National Heart Research Institute Singapore, Singapore, PRC (C.J.P., C.W.L.C., S.A.C.)
- Department of Cardiology, National Heart Center Singapore, Singapore, PRC (C.W.L.C.)
- Cardiovascular Sciences ACP, Duke NUS Medical School, Singapore (C.W.L.C.)
- Mayo Clinic Rochester, MN (C.E.R.)
- Department of Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, the Netherlands (S.J.J., C.R.B.)
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA (S.J.J.)
- Cardiovascular Genetics Centre, Montreal Heart Institute (R.T.)
- Faculty of Medicine, Université de Montréal, QC, Canada (R.T.)
- Radcliffe Department of Medicine, University of Oxford, United Kingdom (H.W.)
| | - Pantazis Theotokis
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Rachel J. Buchan
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Sean J. Jurgens
- Department of Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, the Netherlands (S.J.J., C.R.B.)
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA (S.J.J.)
| | - Claire E. Raphael
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Mayo Clinic Rochester, MN (C.E.R.)
| | - Arun John Baksi
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
| | - Antonis Pantazis
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
| | - Brian P. Halliday
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
| | - Dudley J. Pennell
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
| | - Wenjia Bai
- Biomedical Image Analysis Group, Department of Computing (S.L., W.B.)
- Department of Brain Sciences, Imperial College London, London, United Kingdom (W.B.)
| | - Calvin W.L. Chin
- National Heart Research Institute Singapore, Singapore, PRC (C.J.P., C.W.L.C., S.A.C.)
- Department of Cardiology, National Heart Center Singapore, Singapore, PRC (C.W.L.C.)
- Cardiovascular Sciences ACP, Duke NUS Medical School, Singapore (C.W.L.C.)
| | - Rafik Tadros
- Cardiovascular Genetics Centre, Montreal Heart Institute (R.T.)
- Faculty of Medicine, Université de Montréal, QC, Canada (R.T.)
| | - Connie R. Bezzina
- Department of Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, the Netherlands (S.J.J., C.R.B.)
| | - Hugh Watkins
- Radcliffe Department of Medicine, University of Oxford, United Kingdom (H.W.)
| | - Stuart A. Cook
- Department of Women and Children’s Health (A.d.M.)
- National Heart Research Institute Singapore, Singapore, PRC (C.J.P., C.W.L.C., S.A.C.)
| | - Sanjay K. Prasad
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
| | - James S. Ware
- National Heart and Lung Institute (L.C., K.A.M., S.L.Z., P.T., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust (L.C., R.J.B., C.E.R., A.J.B., A.P., B.P.H., D.J.P., S.K.P., J.S.W.)
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
| | - Declan P. O’Regan
- Medical Research Council Laboratory of Medical Sciences, Imperial College London, United Kingdom (A.d.M., P.I., K.A.M., P.-R.S., A.C., S.L.Z., S.L., M.S., M.J., P.T., R.J.B., S.A.C., J.S.W., D.P.O.)
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6
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Ning C, Fan L, Jin M, Wang W, Hu Z, Cai Y, Chen L, Lu Z, Zhang M, Chen C, Li Y, Zhang F, Wang W, Liu Y, Chen S, Jiang Y, He C, Wang Z, Chen X, Li H, Li G, Ma Q, Geng H, Tian W, Zhang H, Liu B, Xia Q, Yang X, Liu Z, Li B, Zhu Y, Li X, Zhang S, Tian J, Miao X. Genome-wide association analysis of left ventricular imaging-derived phenotypes identifies 72 risk loci and yields genetic insights into hypertrophic cardiomyopathy. Nat Commun 2023; 14:7900. [PMID: 38036550 PMCID: PMC10689443 DOI: 10.1038/s41467-023-43771-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 11/18/2023] [Indexed: 12/02/2023] Open
Abstract
Left ventricular regional wall thickness (LVRWT) is an independent predictor of morbidity and mortality in cardiovascular diseases (CVDs). To identify specific genetic influences on individual LVRWT, we established a novel deep learning algorithm to calculate 12 LVRWTs accurately in 42,194 individuals from the UK Biobank with cardiac magnetic resonance (CMR) imaging. Genome-wide association studies of CMR-derived 12 LVRWTs identified 72 significant genetic loci associated with at least one LVRWT phenotype (P < 5 × 10-8), which were revealed to actively participate in heart development and contraction pathways. Significant causal relationships were observed between the LVRWT traits and hypertrophic cardiomyopathy (HCM) using genetic correlation and Mendelian randomization analyses (P < 0.01). The polygenic risk score of inferoseptal LVRWT at end systole exhibited a notable association with incident HCM, facilitating the identification of high-risk individuals. The findings yield insights into the genetic determinants of LVRWT phenotypes and shed light on the biological basis for HCM etiology.
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Grants
- Z201100006820064 Beijing Nova Program
- Z211100002121165 Beijing Nova Program
- National Science Fund for Distinguished Young Scholars of China (NSFC-81925032), Key Program of National Natural Science Foundation of China (NSFC-82130098), the Leading Talent Program of the Health Commission of Hubei Province, Knowledge Innovation Program of Wuhan (2023020201010060) and Fundamental Research Funds for the Central Universities (2042022rc0026, 2042023kf1005) for Xiaoping Miao
- National Science Fund for Excellent Young Scholars (NSFC-82322058), Program of National Natural Science Foundation of China (NSFC-82103929, NSFC-82273713), Young Elite Scientists Sponsorship Program by cst(2022QNRC001), National Science Fund for Distinguished Young Scholars of Hubei Province of China (2023AFA046), Fundamental Research Funds for the Central Universities (WHU:2042022kf1205) and Knowledge Innovation Program of Wuhan (whkxjsj011, 2023020201010073) for Jianbo Tian
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Affiliation(s)
- Caibo Ning
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
- Department of Radiation Oncology, Renmin Hospital of Wuhan University, Wuhan, 430071, China
- Department of Gastrointestinal Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Linyun Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
- Department of Radiation Oncology, Renmin Hospital of Wuhan University, Wuhan, 430071, China
- Department of Gastrointestinal Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Meng Jin
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Wenji Wang
- SenseTime Research, Shanghai, 201103, China
| | | | - Yimin Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zequn Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Ming Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Can Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Yanmin Li
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Fuwei Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Wenzhuo Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Yizhuo Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Shuoni Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Yuan Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Chunyi He
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Zhuo Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Xu Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Hanting Li
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Gaoyuan Li
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Qianying Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Hui Geng
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Wen Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Heng Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Bo Liu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Qing Xia
- SenseTime Research, Shanghai, 201103, China
| | - Xiaojun Yang
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Bin Li
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Ying Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
- Department of Radiation Oncology, Renmin Hospital of Wuhan University, Wuhan, 430071, China
- Department of Gastrointestinal Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430071, China
| | - Xiangpan Li
- Department of Radiation Oncology, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Shaoting Zhang
- SenseTime Research, Shanghai, 201103, China.
- Shanghai Artificial Intelligence Laboratory, Shanghai, 200232, China.
| | - Jianbo Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
- Department of Radiation Oncology, Renmin Hospital of Wuhan University, Wuhan, 430071, China.
- Department of Gastrointestinal Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430071, China.
| | - Xiaoping Miao
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
- Department of Radiation Oncology, Renmin Hospital of Wuhan University, Wuhan, 430071, China.
- Department of Gastrointestinal Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430071, China.
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7
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Hall M, de Marvao A, Schweitzer R, Cromb D, Colford K, Jandu P, O'Regan DP, Ho A, Price A, Chappell LC, Rutherford MA, Story L, Lamata P, Hutter J. Characterisation of placental, fetal brain and maternal cardiac structure and function in pre-eclampsia using MRI. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.24.23289069. [PMID: 37163073 PMCID: PMC10168502 DOI: 10.1101/2023.04.24.23289069] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Background Pre-eclampsia is a multiorgan disease of pregnancy that has short- and long-term implications for the woman and fetus, whose immediate impact is poorly understood. We present a novel multi-system approach to MRI investigation of pre-eclampsia, with acquisition of maternal cardiac, placental, and fetal brain anatomical and functional imaging. Methods A prospective study was carried out recruiting pregnant women with pre-eclampsia, chronic hypertension, or no medical complications, and a non-pregnant female cohort. All women underwent a cardiac MRI, and pregnant women underwent a fetal-placental MRI. Cardiac analysis for structural, morphological and flow data was undertaken; placenta and fetal brain volumetric and T2* data were obtained. All results were corrected for gestational age. Results Seventy-eight MRIs were obtained during pregnancy. Pregnancies affected by pre-eclampsia demonstrated lower placental and fetal brain T2*. Within the pre-eclampsia group, three placental T2* results were within the normal range, these were the only cases with normal placental histopathology. Similarly, three fetal brain T2* results were within the normal range; these cases had no evidence of cerebral redistribution on fetal Dopplers. Cardiac MRI analysis demonstrated higher left ventricular mass in pre-eclampsia with 3D modelling revealing additional specific characteristics of eccentricity and outflow track remodelling. Conclusions We present the first holistic assessment of the immediate implications of pre-eclampsia on the placenta, maternal heart, and fetal brain. As well as having potential clinical implications for the risk-stratification and management of women with pre-eclampsia, this gives an insight into disease mechanism.
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Affiliation(s)
- Megan Hall
- Department of Women and Children’s Health, King’s College London, UK
- Centre for the Developing Brain, King’s College London, UK
| | - Antonio de Marvao
- Department of Women and Children’s Health, King’s College London, UK
- School of Cardiovascular Medicine, King’s College London, UK
- MRC London Institute of Medical Sciences, Imperial College London, UK
| | - Ronny Schweitzer
- School of Cardiovascular Medicine, King’s College London, UK
- MRC London Institute of Medical Sciences, Imperial College London, UK
| | - Daniel Cromb
- Centre for the Developing Brain, King’s College London, UK
| | | | - Priya Jandu
- GKT School of Medical Education, King’s College London, UK
| | - Declan P O'Regan
- MRC London Institute of Medical Sciences, Imperial College London, UK
| | - Alison Ho
- Department of Women and Children’s Health, King’s College London, UK
- Centre for the Developing Brain, King’s College London, UK
| | - Anthony Price
- Centre for the Developing Brain, King’s College London, UK
- Centre for Medical Engineering, King’s College London, UK
| | - Lucy C. Chappell
- Department of Women and Children’s Health, King’s College London, UK
| | | | - Lisa Story
- Department of Women and Children’s Health, King’s College London, UK
- Centre for the Developing Brain, King’s College London, UK
| | - Pablo Lamata
- Centre for Medical Engineering, King’s College London, UK
| | - Jana Hutter
- Centre for the Developing Brain, King’s College London, UK
- Centre for Medical Engineering, King’s College London, UK
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8
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de Marvao A, McGurk KA, Zheng SL, Thanaj M, Bai W, Duan J, Biffi C, Mazzarotto F, Statton B, Dawes TJW, Savioli N, Halliday BP, Xu X, Buchan RJ, Baksi AJ, Quinlan M, Tokarczuk P, Tayal U, Francis C, Whiffin N, Theotokis PI, Zhang X, Jang M, Berry A, Pantazis A, Barton PJR, Rueckert D, Prasad SK, Walsh R, Ho CY, Cook SA, Ware JS, O'Regan DP. Phenotypic Expression and Outcomes in Individuals With Rare Genetic Variants of Hypertrophic Cardiomyopathy. J Am Coll Cardiol 2021; 78:1097-1110. [PMID: 34503678 PMCID: PMC8434420 DOI: 10.1016/j.jacc.2021.07.017] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 07/01/2021] [Accepted: 07/06/2021] [Indexed: 01/06/2023]
Abstract
BACKGROUND Hypertrophic cardiomyopathy (HCM) is caused by rare variants in sarcomere-encoding genes, but little is known about the clinical significance of these variants in the general population. OBJECTIVES The goal of this study was to compare lifetime outcomes and cardiovascular phenotypes according to the presence of rare variants in sarcomere-encoding genes among middle-aged adults. METHODS This study analyzed whole exome sequencing and cardiac magnetic resonance imaging in UK Biobank participants stratified according to sarcomere-encoding variant status. RESULTS The prevalence of rare variants (allele frequency <0.00004) in HCM-associated sarcomere-encoding genes in 200,584 participants was 2.9% (n = 5,712; 1 in 35), and the prevalence of variants pathogenic or likely pathogenic for HCM (SARC-HCM-P/LP) was 0.25% (n = 493; 1 in 407). SARC-HCM-P/LP variants were associated with an increased risk of death or major adverse cardiac events compared with controls (hazard ratio: 1.69; 95% confidence interval [CI]: 1.38-2.07; P < 0.001), mainly due to heart failure endpoints (hazard ratio: 4.23; 95% CI: 3.07-5.83; P < 0.001). In 21,322 participants with both cardiac magnetic resonance imaging and whole exome sequencing, SARC-HCM-P/LP variants were associated with an asymmetric increase in left ventricular maximum wall thickness (10.9 ± 2.7 mm vs 9.4 ± 1.6 mm; P < 0.001), but hypertrophy (≥13 mm) was only present in 18.4% (n = 9 of 49; 95% CI: 9%-32%). SARC-HCM-P/LP variants were still associated with heart failure after adjustment for wall thickness (hazard ratio: 6.74; 95% CI: 2.43-18.7; P < 0.001). CONCLUSIONS In this population of middle-aged adults, SARC-HCM-P/LP variants have low aggregate penetrance for overt HCM but are associated with an increased risk of adverse cardiovascular outcomes and an attenuated cardiomyopathic phenotype. Although absolute event rates are low, identification of these variants may enhance risk stratification beyond familial disease.
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Affiliation(s)
- Antonio de Marvao
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Kathryn A McGurk
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Sean L Zheng
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Marjola Thanaj
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Wenjia Bai
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom; Department of Brain Sciences, Imperial College London, London, United Kingdom
| | - Jinming Duan
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom; Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom; School of Computer Science, University of Birmingham, Birmingham, United Kingdom
| | - Carlo Biffi
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom; Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Francesco Mazzarotto
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Cardiomyopathy Unit, Careggi University Hospital, Florence, Italy
| | - Ben Statton
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Timothy J W Dawes
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Nicolò Savioli
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Brian P Halliday
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Xiao Xu
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Rachel J Buchan
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - A John Baksi
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Marina Quinlan
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Paweł Tokarczuk
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Upasana Tayal
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Catherine Francis
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Nicola Whiffin
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom; Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Pantazis I Theotokis
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Xiaolei Zhang
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Mikyung Jang
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Alaine Berry
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Antonis Pantazis
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Paul J R Barton
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Daniel Rueckert
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom; Faculty of Informatics and Medicine, Klinikum Rechts der Isar, TU Munich, Munich, Germany
| | - Sanjay K Prasad
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Roddy Walsh
- Department of Experimental Cardiology, Amsterdam UMC, AMC Heart Centre, Amsterdam, the Netherlands
| | - Carolyn Y Ho
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Stuart A Cook
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom; National Heart Centre Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore
| | - James S Ware
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom.
| | - Declan P O'Regan
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom.
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9
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Rodero C, Strocchi M, Marciniak M, Longobardi S, Whitaker J, O’Neill MD, Gillette K, Augustin C, Plank G, Vigmond EJ, Lamata P, Niederer SA. Linking statistical shape models and simulated function in the healthy adult human heart. PLoS Comput Biol 2021; 17:e1008851. [PMID: 33857152 PMCID: PMC8049237 DOI: 10.1371/journal.pcbi.1008851] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 03/03/2021] [Indexed: 01/09/2023] Open
Abstract
Cardiac anatomy plays a crucial role in determining cardiac function. However, there is a poor understanding of how specific and localised anatomical changes affect different cardiac functional outputs. In this work, we test the hypothesis that in a statistical shape model (SSM), the modes that are most relevant for describing anatomy are also most important for determining the output of cardiac electromechanics simulations. We made patient-specific four-chamber heart meshes (n = 20) from cardiac CT images in asymptomatic subjects and created a SSM from 19 cases. Nine modes captured 90% of the anatomical variation in the SSM. Functional simulation outputs correlated best with modes 2, 3 and 9 on average (R = 0.49 ± 0.17, 0.37 ± 0.23 and 0.34 ± 0.17 respectively). We performed a global sensitivity analysis to identify the different modes responsible for different simulated electrical and mechanical measures of cardiac function. Modes 2 and 9 were the most important for determining simulated left ventricular mechanics and pressure-derived phenotypes. Mode 2 explained 28.56 ± 16.48% and 25.5 ± 20.85, and mode 9 explained 12.1 ± 8.74% and 13.54 ± 16.91% of the variances of mechanics and pressure-derived phenotypes, respectively. Electrophysiological biomarkers were explained by the interaction of 3 ± 1 modes. In the healthy adult human heart, shape modes that explain large portions of anatomical variance do not explain equivalent levels of electromechanical functional variation. As a result, in cardiac models, representing patient anatomy using a limited number of modes of anatomical variation can cause a loss in accuracy of simulated electromechanical function.
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Affiliation(s)
- Cristobal Rodero
- Cardiac Electromechanics Research Group, Biomedical Engineering Department, King´s College London, London, United Kingdom
- Cardiac Modelling and Imaging Biomarkers, Biomedical Engineering Department, King´s College London, London, United Kingdom
- * E-mail:
| | - Marina Strocchi
- Cardiac Electromechanics Research Group, Biomedical Engineering Department, King´s College London, London, United Kingdom
| | - Maciej Marciniak
- Cardiac Modelling and Imaging Biomarkers, Biomedical Engineering Department, King´s College London, London, United Kingdom
| | - Stefano Longobardi
- Cardiac Electromechanics Research Group, Biomedical Engineering Department, King´s College London, London, United Kingdom
| | - John Whitaker
- Cardiovascular Imaging Department, King’s College London, London, United Kingdom
| | - Mark D. O’Neill
- Department of Cardiology, St Thomas’ Hospital, London, United Kingdom
| | - Karli Gillette
- Institute of Biophysics, Medical University of Graz, Graz, Austria
| | | | - Gernot Plank
- Institute of Biophysics, Medical University of Graz, Graz, Austria
| | - Edward J. Vigmond
- Institute of Electrophysiology and Heart Modeling, Foundation Bordeaux University, Bordeaux, France
- Bordeaux Institute of Mathematics, University of Bordeaux, Bordeaux, France
| | - Pablo Lamata
- Cardiac Modelling and Imaging Biomarkers, Biomedical Engineering Department, King´s College London, London, United Kingdom
| | - Steven A. Niederer
- Cardiac Electromechanics Research Group, Biomedical Engineering Department, King´s College London, London, United Kingdom
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10
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The Egyptian Collaborative Cardiac Genomics (ECCO-GEN) Project: defining a healthy volunteer cohort. NPJ Genom Med 2020; 5:46. [PMID: 33110626 PMCID: PMC7584615 DOI: 10.1038/s41525-020-00153-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 08/31/2020] [Indexed: 01/04/2023] Open
Abstract
The integration of comprehensive genomic and phenotypic data from diverse ethnic populations offers unprecedented opportunities toward advancements in precision medicine and novel diagnostic technologies. Current reference genomic databases are not representative of the global human population, making variant interpretation challenging, especially in underrepresented populations, such as the North African population. To address this, the Egyptian Collaborative Cardiac Genomics (ECCO-GEN) Project launched a study comprising 1000 individuals free of cardiovascular disease (CVD). Here, we present the first 391 Egyptian healthy volunteers recruited to establish a pilot phenotyped control cohort. All individuals underwent detailed clinical investigation, including cardiac magnetic resonance imaging (MRI), and were sequenced using a targeted panel of 174 genes with reported roles in inherited cardiac conditions. We identified 1262 variants in 27 cardiomyopathy genes of which 15.1% were not captured in current global and regional genetic reference databases (here: gnomAD and Great Middle Eastern Variome). The ECCO-GEN project aims at defining the genetic landscape of an understudied population and providing individual-level genetic and phenotypic data to support future studies in CVD and population genetics.
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11
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Osimo EF, Brugger SP, de Marvao A, Pillinger T, Whitehurst T, Statton B, Quinlan M, Berry A, Cook SA, O'Regan DP, Howes OD. Cardiac structure and function in schizophrenia: cardiac magnetic resonance imaging study. Br J Psychiatry 2020; 217:450-457. [PMID: 31915079 PMCID: PMC7511899 DOI: 10.1192/bjp.2019.268] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Heart disease is the leading cause of death in schizophrenia. However, there has been little research directly examining cardiac function in schizophrenia. AIMS To investigate cardiac structure and function in individuals with schizophrenia using cardiac magnetic resonance imaging (CMR) after excluding medical and metabolic comorbidity. METHOD In total, 80 participants underwent CMR to determine biventricular volumes and function and measures of blood pressure, physical activity and glycated haemoglobin levels. Individuals with schizophrenia ('patients') and controls were matched for age, gender, ethnicity and body surface area. RESULTS Patients had significantly smaller indexed left ventricular (LV) end-diastolic volume (effect size d = -0.82, P = 0.001), LV end-systolic volume (d = -0.58, P = 0.02), LV stroke volume (d = -0.85, P = 0.001), right ventricular (RV) end-diastolic volume (d = -0.79, P = 0.002), RV end-systolic volume (d = -0.58, P = 0.02), and RV stroke volume (d = -0.87, P = 0.001) but unaltered ejection fractions relative to controls. LV concentricity (d = 0.73, P = 0.003) and septal thickness (d = 1.13, P < 0.001) were significantly larger in the patients. Mean concentricity in patients was above the reference range. The findings were largely unchanged after adjusting for smoking and/or exercise levels and were independent of medication dose and duration. CONCLUSIONS Individuals with schizophrenia show evidence of concentric cardiac remodelling compared with healthy controls of a similar age, gender, ethnicity, body surface area and blood pressure, and independent of smoking and activity levels. This could be contributing to the excess cardiovascular mortality observed in schizophrenia. Future studies should investigate the contribution of antipsychotic medication to these changes.
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Affiliation(s)
- Emanuele F. Osimo
- Academic Clinical Fellow in Psychiatry, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus; and Department of Psychiatry, University of Cambridge; and Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Stefan P. Brugger
- Academic Clinical Fellow in Psychiatry, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Antonio de Marvao
- Clinical Lecturer in Cardiology, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Toby Pillinger
- Academic Clinical Fellow in Psychiatry, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus; and Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Thomas Whitehurst
- Clinical Research Fellow, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Ben Statton
- Lead MR Radiographer, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Marina Quinlan
- MR Radiographer, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Alaine Berry
- MR Radiographer, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Stuart A. Cook
- Professor of Clinical and Molecular Cardiology, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Declan P. O'Regan
- Reader in Imaging Sciences (Consultant Radiologist), MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Oliver D. Howes
- Professor of Molecular Psychiatry, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus; and Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK,Correspondence: Professor Oliver Howes.
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12
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Bhuva AN, Treibel TA, De Marvao A, Biffi C, Dawes TJW, Doumou G, Bai W, Patel K, Boubertakh R, Rueckert D, O'Regan DP, Hughes AD, Moon JC, Manisty CH. Sex and regional differences in myocardial plasticity in aortic stenosis are revealed by 3D model machine learning. Eur Heart J Cardiovasc Imaging 2020; 21:417-427. [PMID: 31280289 PMCID: PMC7100908 DOI: 10.1093/ehjci/jez166] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 06/22/2019] [Indexed: 12/12/2022] Open
Abstract
AIMS Left ventricular hypertrophy (LVH) in aortic stenosis (AS) varies widely before and after aortic valve replacement (AVR), and deeper phenotyping beyond traditional global measures may improve risk stratification. We hypothesized that machine learning derived 3D LV models may provide a more sensitive assessment of remodelling and sex-related differences in AS than conventional measurements. METHODS AND RESULTS One hundred and sixteen patients with severe, symptomatic AS (54% male, 70 ± 10 years) underwent cardiovascular magnetic resonance pre-AVR and 1 year post-AVR. Computational analysis produced co-registered 3D models of wall thickness, which were compared with 40 propensity-matched healthy controls. Preoperative regional wall thickness and post-operative percentage wall thickness regression were analysed, stratified by sex. AS hypertrophy and regression post-AVR was non-uniform-greatest in the septum with more pronounced changes in males than females (wall thickness regression: -13 ± 3.6 vs. -6 ± 1.9%, respectively, P < 0.05). Even patients without LVH (16% with normal indexed LV mass, 79% female) had greater septal and inferior wall thickness compared with controls (8.8 ± 1.6 vs. 6.6 ± 1.2 mm, P < 0.05), which regressed post-AVR. These differences were not detectable by global measures of remodelling. Changes to clinical parameters post-AVR were also greater in males: N-terminal pro-brain natriuretic peptide (NT-proBNP) [-37 (interquartile range -88 to -2) vs. -1 (-24 to 11) ng/L, P = 0.008], and systolic blood pressure (12.9 ± 23 vs. 2.1 ± 17 mmHg, P = 0.009), with changes in NT-proBNP correlating with percentage LV mass regression in males only (ß 0.32, P = 0.02). CONCLUSION In patients with severe AS, including those without overt LVH, LV remodelling is most plastic in the septum, and greater in males, both pre-AVR and post-AVR. Three-dimensional machine learning is more sensitive than conventional analysis to these changes, potentially enhancing risk stratification. CLINICAL TRIAL REGISTRATION Regression of myocardial fibrosis after aortic valve replacement (RELIEF-AS); NCT02174471. https://clinicaltrials.gov/ct2/show/NCT02174471.
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Affiliation(s)
- Anish N Bhuva
- Institute for Cardiovascular Science, University College London, Chenies Mews, London WC1E6HX, UK
- Department of Cardiovascular Imaging, Barts Heart Centre, Barts Health NHS Trust, King George V Building, West Smithfield, London EC1A 7BE, UK
| | - Thomas A Treibel
- Institute for Cardiovascular Science, University College London, Chenies Mews, London WC1E6HX, UK
- Department of Cardiovascular Imaging, Barts Heart Centre, Barts Health NHS Trust, King George V Building, West Smithfield, London EC1A 7BE, UK
| | - Antonio De Marvao
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W120NN, UK
| | - Carlo Biffi
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W120NN, UK
- Department of Computing, Imperial College London, South Kensington Campus, 180 Queen's Gate, London SW72RH, UK
| | - Timothy J W Dawes
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W120NN, UK
- National Heart and Lung Institute, Imperial College London, Du Cane Road, London W120NN, UK
| | - Georgia Doumou
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W120NN, UK
| | - Wenjia Bai
- Department of Computing, Imperial College London, South Kensington Campus, 180 Queen's Gate, London SW72RH, UK
| | - Kush Patel
- Institute for Cardiovascular Science, University College London, Chenies Mews, London WC1E6HX, UK
- Department of Cardiovascular Imaging, Barts Heart Centre, Barts Health NHS Trust, King George V Building, West Smithfield, London EC1A 7BE, UK
| | - Redha Boubertakh
- Department of Cardiovascular Imaging, Barts Heart Centre, Barts Health NHS Trust, King George V Building, West Smithfield, London EC1A 7BE, UK
| | - Daniel Rueckert
- Department of Computing, Imperial College London, South Kensington Campus, 180 Queen's Gate, London SW72RH, UK
| | - Declan P O'Regan
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W120NN, UK
| | - Alun D Hughes
- Institute for Cardiovascular Science, University College London, Chenies Mews, London WC1E6HX, UK
| | - James C Moon
- Institute for Cardiovascular Science, University College London, Chenies Mews, London WC1E6HX, UK
- Department of Cardiovascular Imaging, Barts Heart Centre, Barts Health NHS Trust, King George V Building, West Smithfield, London EC1A 7BE, UK
| | - Charlotte H Manisty
- Institute for Cardiovascular Science, University College London, Chenies Mews, London WC1E6HX, UK
- Department of Cardiovascular Imaging, Barts Heart Centre, Barts Health NHS Trust, King George V Building, West Smithfield, London EC1A 7BE, UK
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13
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Phua AIH, Le TT, Tara SW, De Marvao A, Duan J, Toh DF, Ang B, Bryant JA, O'Regan DP, Cook SA, Chin CWL. Paradoxical Higher Myocardial Wall Stress and Increased Cardiac Remodeling Despite Lower Mass in Females. J Am Heart Assoc 2020; 9:e014781. [PMID: 32067597 PMCID: PMC7070215 DOI: 10.1161/jaha.119.014781] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Background Increased left ventricular (LV) mass is characterized by increased myocardial wall thickness and/or ventricular dilatation that is associated with worse outcomes. We aim to comprehensively compare sex‐stratified associations between measures of LV remodeling and increasing LV mass in the general population. Methods and Results Participants were prospectively recruited in the National Heart Center Singapore Biobank to examine health and cardiovascular risk factors in the general population. Cardiovascular magnetic resonance was performed in all individuals. Participants with established cardiovascular diseases and abnormal cardiovascular magnetic resonance scan results were excluded. Global and regional measures of LV remodeling (geometry, function, interstitial volumes, and wall stress) were performed using conventional image analysis and novel 3‐dimensional machine learning phenotyping. Sex‐stratified analyses were performed in 1005 participants (57% males; 53±13 years). Age and prevalence of cardiovascular risk factors were well‐matched in both sexes (P>0.05 for all). Progressive increase in LV mass was associated with increased concentricity in either sex, but to a greater extent in females. Compared with males, females had higher wall stress (mean difference: 170 mm Hg, P<0.0001) despite smaller LV mass (42.4±8.2 versus 55.6±14.2 g/m2, P<0.0001), lower blood pressures (P<0.0001), and higher LV ejection fraction (61.9±5.9% versus 58.6±6.4%, P<0.0001). The regions of increased concentric remodeling corresponded to regions of increased wall stress. Compared with males, females had increased extracellular volume fraction (27.1±2.4% versus 25.1±2.9%, P<0.0001). Conclusions Compared with males, females have lower LV mass, increased wall stress, and concentric remodeling. These findings provide mechanistic insights that females are susceptible to particular cardiovascular complications.
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Affiliation(s)
- Andrew I H Phua
- College of Medicine and Public Health Flinders University Adelaide South Australia
| | - Thu-Thao Le
- National Heart Research Institute Singapore National Heart Center Singapore Singapore
| | - Su W Tara
- College of Medicine and Public Health Flinders University Adelaide South Australia
| | - Antonio De Marvao
- MRC London Institute of Medical Sciences Imperial College London London United Kingdom
| | - Jinming Duan
- MRC London Institute of Medical Sciences Imperial College London London United Kingdom
| | - Desiree-Faye Toh
- National Heart Research Institute Singapore National Heart Center Singapore Singapore
| | - Briana Ang
- National Heart Research Institute Singapore National Heart Center Singapore Singapore
| | - Jennifer A Bryant
- National Heart Research Institute Singapore National Heart Center Singapore Singapore
| | - Declan P O'Regan
- MRC London Institute of Medical Sciences Imperial College London London United Kingdom
| | - Stuart A Cook
- National Heart Research Institute Singapore National Heart Center Singapore Singapore.,Department of Cardiology National Heart Center Singapore Singapore.,Cardiovascular Sciences ACP Duke NUS Medical School Singapore
| | - Calvin W L Chin
- National Heart Research Institute Singapore National Heart Center Singapore Singapore.,Department of Cardiology National Heart Center Singapore Singapore.,Cardiovascular Sciences ACP Duke NUS Medical School Singapore
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14
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Mazzarotto F, Tayal U, Buchan RJ, Midwinter W, Wilk A, Whiffin N, Govind R, Mazaika E, de Marvao A, Dawes TJ, Felkin LE, Ahmad M, Theotokis PI, Edwards E, Ing AY, Thomson KL, Chan LL, Sim D, Baksi AJ, Pantazis A, Roberts AM, Watkins H, Funke B, O’Regan DP, Olivotto I, Barton PJ, Prasad SK, Cook SA, Ware JS, Walsh R. Reevaluating the Genetic Contribution of Monogenic Dilated Cardiomyopathy. Circulation 2020; 141:387-398. [PMID: 31983221 PMCID: PMC7004454 DOI: 10.1161/circulationaha.119.037661] [Citation(s) in RCA: 157] [Impact Index Per Article: 39.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND Dilated cardiomyopathy (DCM) is genetically heterogeneous, with >100 purported disease genes tested in clinical laboratories. However, many genes were originally identified based on candidate-gene studies that did not adequately account for background population variation. Here we define the frequency of rare variation in 2538 patients with DCM across protein-coding regions of 56 commonly tested genes and compare this to both 912 confirmed healthy controls and a reference population of 60 706 individuals to identify clinically interpretable genes robustly associated with dominant monogenic DCM. METHODS We used the TruSight Cardio sequencing panel to evaluate the burden of rare variants in 56 putative DCM genes in 1040 patients with DCM and 912 healthy volunteers processed with identical sequencing and bioinformatics pipelines. We further aggregated data from 1498 patients with DCM sequenced in diagnostic laboratories and the Exome Aggregation Consortium database for replication and meta-analysis. RESULTS Truncating variants in TTN and DSP were associated with DCM in all comparisons. Variants in MYH7, LMNA, BAG3, TNNT2, TNNC1, PLN, ACTC1, NEXN, TPM1, and VCL were significantly enriched in specific patient subsets, with the last 2 genes potentially contributing primarily to early-onset forms of DCM. Overall, rare variants in these 12 genes potentially explained 17% of cases in the outpatient clinic cohort representing a broad range of adult patients with DCM and 26% of cases in the diagnostic referral cohort enriched in familial and early-onset DCM. Although the absence of a significant excess in other genes cannot preclude a limited role in disease, such genes have limited diagnostic value because novel variants will be uninterpretable and their diagnostic yield is minimal. CONCLUSIONS In the largest sequenced DCM cohort yet described, we observe robust disease association with 12 genes, highlighting their importance in DCM and translating into high interpretability in diagnostic testing. The other genes analyzed here will need to be rigorously evaluated in ongoing curation efforts to determine their validity as Mendelian DCM genes but have limited value in diagnostic testing in DCM at present. This data will contribute to community gene curation efforts and will reduce erroneous and inconclusive findings in diagnostic testing.
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Affiliation(s)
- Francesco Mazzarotto
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
- Cardiomyopathy Unit, Careggi University Hospital, Florence, Italy (F.M., I.O.)
- Department of Experimental and Clinical Medicine, University of Florence, Italy (F.M., I.O.)
| | - Upasana Tayal
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Rachel J. Buchan
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - William Midwinter
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Alicja Wilk
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Nicola Whiffin
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Medical Research Council-London Institute of Medical Sciences (N.W. A.d.M., T.J.W.D., D.P.O., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Risha Govind
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Erica Mazaika
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Antonio de Marvao
- Medical Research Council-London Institute of Medical Sciences (N.W. A.d.M., T.J.W.D., D.P.O., S.A.C., J.S.W.), Imperial College London, United Kingdom
| | - Timothy J.W. Dawes
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Medical Research Council-London Institute of Medical Sciences (N.W. A.d.M., T.J.W.D., D.P.O., S.A.C., J.S.W.), Imperial College London, United Kingdom
| | - Leanne E. Felkin
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Mian Ahmad
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Pantazis I. Theotokis
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Elizabeth Edwards
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Alexander Y. Ing
- Laboratory for Molecular Medicine, Partners HealthCare Personalized Medicine, Cambridge, MA (A.Y.I.)
| | - Kate L. Thomson
- Oxford Medical Genetics Laboratory, Oxford University Hospitals National Health Service Foundation Trust, The Churchill Hospital, United Kingdom (K.L.T.)
- Radcliffe Department of Medicine, University of Oxford, United Kingdom (K.L.T., H.W.)
| | | | - David Sim
- National Heart Centre Singapore (L.L.H.C., D.S., S.A.C.)
| | - A. John Baksi
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Antonis Pantazis
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Angharad M. Roberts
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Hugh Watkins
- Radcliffe Department of Medicine, University of Oxford, United Kingdom (K.L.T., H.W.)
| | - Birgit Funke
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston (B.F.)
| | - Declan P. O’Regan
- Medical Research Council-London Institute of Medical Sciences (N.W. A.d.M., T.J.W.D., D.P.O., S.A.C., J.S.W.), Imperial College London, United Kingdom
| | - Iacopo Olivotto
- Cardiomyopathy Unit, Careggi University Hospital, Florence, Italy (F.M., I.O.)
- Department of Experimental and Clinical Medicine, University of Florence, Italy (F.M., I.O.)
| | - Paul J.R. Barton
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Sanjay K. Prasad
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Stuart A. Cook
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Medical Research Council-London Institute of Medical Sciences (N.W. A.d.M., T.J.W.D., D.P.O., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
- National Heart Centre Singapore (L.L.H.C., D.S., S.A.C.)
- Duke-National University of Singapore Medical School (S.A.C.)
| | - James S. Ware
- National Heart and Lung Institute (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., T.J.W.D., L.E.F., M.A., P.I.T., E.E., A.J.B., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Medical Research Council-London Institute of Medical Sciences (N.W. A.d.M., T.J.W.D., D.P.O., S.A.C., J.S.W.), Imperial College London, United Kingdom
- Cardiovascular Research Centre, Royal Brompton and Harefield National Health Service Foundation Trust, London, United Kingdom (F.M., U.T., R.J.B., W.M., A.W., N.W., R.G., E.M., L.E.F., M.A., P.I.T., E.E., A.J.B., A.A.P., A.M.R., P.J.R.B., S.K.P., S.A.C., J.S.W.)
| | - Roddy Walsh
- Department of Clinical and Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, Amsterdam Universitair Medische Centra, University of Amsterdam, The Netherlands (R.W.)
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15
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de Marvao A, Dawes TJW, O'Regan DP. Artificial Intelligence for Cardiac Imaging-Genetics Research. Front Cardiovasc Med 2020; 6:195. [PMID: 32039240 PMCID: PMC6985036 DOI: 10.3389/fcvm.2019.00195] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 12/27/2019] [Indexed: 12/18/2022] Open
Abstract
Cardiovascular conditions remain the leading cause of mortality and morbidity worldwide, with genotype being a significant influence on disease risk. Cardiac imaging-genetics aims to identify and characterize the genetic variants that influence functional, physiological, and anatomical phenotypes derived from cardiovascular imaging. High-throughput DNA sequencing and genotyping have greatly accelerated genetic discovery, making variant interpretation one of the key challenges in contemporary clinical genetics. Heterogeneous, low-fidelity phenotyping and difficulties integrating and then analyzing large-scale genetic, imaging and clinical datasets using traditional statistical approaches have impeded process. Artificial intelligence (AI) methods, such as deep learning, are particularly suited to tackle the challenges of scalability and high dimensionality of data and show promise in the field of cardiac imaging-genetics. Here we review the current state of AI as applied to imaging-genetics research and discuss outstanding methodological challenges, as the field moves from pilot studies to mainstream applications, from one dimensional global descriptors to high-resolution models of whole-organ shape and function, from univariate to multivariate analysis and from candidate gene to genome-wide approaches. Finally, we consider the future directions and prospects of AI imaging-genetics for ultimately helping understand the genetic and environmental underpinnings of cardiovascular health and disease.
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Affiliation(s)
| | | | - Declan P. O'Regan
- MRC London Institute of Medical Sciences, Imperial College London, London, United Kingdom
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16
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Abstract
Hypertension (HTN) is a major modifiable risk factor for cardiovascular disease (CVD) morbidity and mortality. The left ventricle (LV) is a primary target for HTN end-organ damage. In addition to being a marker of HTN, LV geometrical changes: concentric remodeling, concentric or eccentric LV hypertrophy (LVH) are major independent risk factors for not only CVD morbidity and mortality but also for all-cause mortality and neurological pathologies. Blood pressure control with lifestyle changes and antihypertensive agents has been demonstrated to prevent and regress LVH. Herein, we provide a comprehensive review of literature on the relationship between HTN and LV geometry abnormalities with a focus on diagnosis, prognosis, pathophysiological mechanisms, and treatment approaches.
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17
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Mauger C, Gilbert K, Lee AM, Sanghvi MM, Aung N, Fung K, Carapella V, Piechnik SK, Neubauer S, Petersen SE, Suinesiaputra A, Young AA. Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank. J Cardiovasc Magn Reson 2019; 21:41. [PMID: 31315625 PMCID: PMC6637624 DOI: 10.1186/s12968-019-0551-6] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 06/14/2019] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The associations between cardiovascular disease (CVD) risk factors and the biventricular geometry of the right ventricle (RV) and left ventricle (LV) have been difficult to assess, due to subtle and complex shape changes. We sought to quantify reference RV morphology as well as biventricular variations associated with common cardiovascular risk factors. METHODS A biventricular shape atlas was automatically constructed using contours and landmarks from 4329 UK Biobank cardiovascular magnetic resonance (CMR) studies. A subdivision surface geometric mesh was customized to the contours using a diffeomorphic registration algorithm, with automatic correction of slice shifts due to differences in breath-hold position. A reference sub-cohort was identified consisting of 630 participants with no CVD risk factors. Morphometric scores were computed using linear regression to quantify shape variations associated with four risk factors (high cholesterol, high blood pressure, obesity and smoking) and three disease factors (diabetes, previous myocardial infarction and angina). RESULTS The atlas construction led to an accurate representation of 3D shapes at end-diastole and end-systole, with acceptable fitting errors between surfaces and contours (average error less than 1.5 mm). Atlas shape features had stronger associations than traditional mass and volume measures for all factors (p < 0.005 for each). High blood pressure was associated with outward displacement of the LV free walls, but inward displacement of the RV free wall and thickening of the septum. Smoking was associated with a rounder RV with inward displacement of the RV free wall and increased relative wall thickness. CONCLUSION Morphometric relationships between biventricular shape and cardiovascular risk factors in a large cohort show complex interactions between RV and LV morphology. These can be quantified by z-scores, which can be used to study the morphological correlates of disease.
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Affiliation(s)
- Charlène Mauger
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - Kathleen Gilbert
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Aaron M. Lee
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, UK
| | - Mihir M. Sanghvi
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, UK
| | - Nay Aung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, UK
| | - Kenneth Fung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, UK
| | - Valentina Carapella
- Oxford NIHR Biomedical Research Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Stefan K. Piechnik
- Oxford NIHR Biomedical Research Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Stefan Neubauer
- Oxford NIHR Biomedical Research Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Steffen E. Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, UK
| | - Avan Suinesiaputra
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - Alistair A. Young
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
- Department of Biomedical Engineering, King’s College London, London, UK
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18
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Gilbert K, Bai W, Mauger C, Medrano-Gracia P, Suinesiaputra A, Lee AM, Sanghvi MM, Aung N, Piechnik SK, Neubauer S, Petersen SE, Rueckert D, Young AA. Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study. Sci Rep 2019; 9:1130. [PMID: 30718635 PMCID: PMC6362245 DOI: 10.1038/s41598-018-37916-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 12/17/2018] [Indexed: 01/08/2023] Open
Abstract
Left ventricular (LV) mass and volume are important indicators of clinical and pre-clinical disease processes. However, much of the shape information present in modern imaging examinations is currently ignored. Morphometric atlases enable precise quantification of shape and function, but there has been no objective comparison of different atlases in the same cohort. We compared two independent LV atlases using MRI scans of 4547 UK Biobank participants: (i) a volume atlas derived by automatic non-rigid registration of image volumes to a common template, and (ii) a surface atlas derived from manually drawn epicardial and endocardial surface contours. The strength of associations between atlas principal components and cardiovascular risk factors (smoking, diabetes, high blood pressure, high cholesterol and angina) were quantified with logistic regression models and five-fold cross validation, using area under the ROC curve (AUC) and Akaike Information Criterion (AIC) metrics. Both atlases exhibited similar principal components, showed similar relationships with risk factors, and had stronger associations (higher AUC and lower AIC) than a reference model based on LV mass and volume, for all risk factors (DeLong p < 0.05). Morphometric variations associated with each risk factor could be quantified and visualized and were similar between atlases. UK Biobank LV shape atlases are robust to construction method and show stronger relationships with cardiovascular risk factors than mass and volume.
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Affiliation(s)
- Kathleen Gilbert
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Wenjia Bai
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK
| | - Charlene Mauger
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - Pau Medrano-Gracia
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - Avan Suinesiaputra
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - Aaron M Lee
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Mihir M Sanghvi
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Nay Aung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Stefan K Piechnik
- Oxford NIHR Biomedical Research Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Stefan Neubauer
- Oxford NIHR Biomedical Research Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Daniel Rueckert
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK
| | - Alistair A Young
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand.
- Department of Biomedical Engineering, King's College London, London, UK.
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19
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Elboudwarej O, Wei J, Darouian N, Cook-Wiens G, Li Q, Thomson LEJ, Petersen JW, Anderson RD, Mehta P, Shufelt C, Berman D, Azarbal B, Samuels B, Handberg E, Sopko G, Pepine CJ, Bairey Merz CN. Maladaptive left ventricular remodeling in women: An analysis from the Women's Ischemia Syndrome Evaluation-Coronary Vascular Dysfunction study. Int J Cardiol 2018; 268:230-235. [PMID: 30041793 PMCID: PMC6062208 DOI: 10.1016/j.ijcard.2018.03.139] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Revised: 03/23/2018] [Accepted: 03/30/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Women represent approximately half of heart failure hospitalizations and are disproportionately affected by heart failure with preserved ejection fraction (HFpEF). Women with signs and symptoms of ischemia, preserved left ventricular ejection fraction (LVEF), and no obstructive coronary artery disease (CAD) often have elevated left ventricular end-diastolic pressure (LVEDP). However, isolated elevated LVEDP in the absence of coronary microvascular dysfunction (CMD) is not understood. METHODS Among 244 women with signs and symptoms of ischemia, no obstructive CAD, and preserved LVEF who underwent invasive coronary reactivity testing (CRT), 43 (18%) women had no evidence of CMD. LVEDP was measured at time of CRT, and left ventricular (LV) volumes and mass were assessed by cardiac magnetic resonance (CMR) imaging. RESULTS Of the 43 women without CMD, 24 (56%) had elevated LVEDP [mean 18 mm Hg (SD = 3)] compared to 19 (44%) with normal LVEDP [11 mm Hg (SD = 3)]. The elevated LVEDP group had a comparatively higher systolic and diastolic blood pressure, lower LV end-diastolic volume index (EDVI), and higher mass-to-volume ratio. Other functional parameters were not significantly different. CONCLUSIONS Among women with signs and symptoms of ischemia without obstructive CAD, absence of CMD, and preserved LVEF, isolated elevated LVEDP is associated with a significantly higher systolic and diastolic blood pressure, higher LV mass-to-volume ratio and lower LV EDVI. These results suggest these women have maladaptive remodeling to blood pressure. Given the relatively high prevalence of HFpEF in women, these hypothesis-generating results suggest that further study of ventricular remodeling is warranted.
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Affiliation(s)
- Omeed Elboudwarej
- Barbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA, United States
| | - Janet Wei
- Barbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA, United States
| | - Navid Darouian
- Barbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA, United States
| | - Galen Cook-Wiens
- Barbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA, United States
| | - Quanlin Li
- Barbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA, United States
| | - Louise E J Thomson
- Barbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA, United States
| | - John W Petersen
- University of Florida College of Medicine, Gainesville, FL, United States
| | - R David Anderson
- University of Florida College of Medicine, Gainesville, FL, United States
| | - Puja Mehta
- Emory University School of Medicine, Atlanta, GA, United States
| | - Chrisandra Shufelt
- Barbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA, United States
| | - Daniel Berman
- Barbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA, United States
| | - Babak Azarbal
- Barbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA, United States
| | - Bruce Samuels
- Barbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA, United States
| | - Eileen Handberg
- University of Florida College of Medicine, Gainesville, FL, United States
| | | | - Carl J Pepine
- University of Florida College of Medicine, Gainesville, FL, United States
| | - C Noel Bairey Merz
- Barbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA, United States.
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20
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Rodrigues JCL, Erdei T, Dastidar AG, Szantho G, Burchell AE, Ratcliffe LEK, Hart EC, Nightingale AK, Paton JFR, Manghat NE, Hamilton MCK. Left ventricular extracellular volume fraction and atrioventricular interaction in hypertension. Eur Radiol 2018; 29:1574-1585. [PMID: 30232515 DOI: 10.1007/s00330-018-5700-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 07/16/2018] [Accepted: 07/31/2018] [Indexed: 12/25/2022]
Abstract
OBJECTIVES Left atrial enlargement (LAE) predicts cardiovascular morbidity and mortality. Impaired LA function also confers poor prognosis. This study aimed to determine whether left ventricular (LV) interstitial fibrosis is associated with LAE and LA impairment in systemic hypertension. METHODS Following informed written consent, a prospective observational study of 86 hypertensive patients (49 ± 15 years, 53% male, office SBP 168 ± 30 mmHg, office DBP 97 ± 4 mmHg) and 20 normotensive controls (48 ± 13 years, 55% male, office SBP 130 ± 13 mmHg, office DBP 80 ± 11 mmHg) at 1.5-T cardiovascular magnetic resonance was conducted. Extracellular volume fraction (ECV) was calculated by T1-mapping. LA volume (LAV) was measured with biplane area-length method. LA reservoir, conduit and pump function were calculated with the phasic volumetric method. RESULTS Indexed LAV correlated with indexed LV mass (R = 0.376, p < 0.0001) and ECV (R = 0.359, p = 0.001). However, ECV was the strongest significant predictor of LAE in multivariate regression analysis (odds ratio [95th confidence interval] 1.24 [1.04-1.48], p = 0.017). Indexed myocardial interstitial volume was associated with significant reductions in LA reservoir (R = -0.437, p < 0.0001) and conduit (R = -0.316, p = 0.003) but not pump (R = -0.167, p = 0.125) function. Multiple linear regression, correcting for age, gender, BMI, BP and diabetes, showed an independent decrease of 3.5% LA total emptying fraction for each 10 ml/m2 increase in myocardial interstitial volume (standard β coefficient -3.54, p = 0.002). CONCLUSIONS LV extracellular expansion is associated with LAE and impaired LA reservoir and conduit function. Future studies should identify if targeting diffuse LV fibrosis is beneficial in reverse remodelling of LA structural and functional pathological abnormalities in hypertension. KEY POINTS • Left atrial enlargement (LAE) and impairment are markers of adverse prognosis in systemic hypertension but their pathophysiology is poorly understood. • Left ventricular extracellular volume fraction was the strongest independent multivariate predictor of LAE and was associated with impaired left atrial reservoir and conduit function. • LV interstitial expansion may play a central role in the pathophysiology of adverse atrioventricular interaction in systemic hypertension.
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Affiliation(s)
- Jonathan C L Rodrigues
- Department of Cardiovascular Magnetic Resonance, Bristol Cardiovascular Biomedical Research Unit, Bristol Heart Institute, University Hospitals Bristol NHS Foundation Trust, BS2 8HW, Bristol, UK. .,School of Physiology, Pharmacology & Neuroscience, Faculty of Biomedical Science, University of Bristol, Bristol, UK. .,Department of Radiology, Royal United Hospitals Bath NHS Foundation Trust, Combe Park, BA1 3NG, Bath, UK.
| | - Tamas Erdei
- Department of Cardiovascular Magnetic Resonance, Bristol Cardiovascular Biomedical Research Unit, Bristol Heart Institute, University Hospitals Bristol NHS Foundation Trust, BS2 8HW, Bristol, UK
| | - Amardeep Ghosh Dastidar
- Department of Cardiovascular Magnetic Resonance, Bristol Cardiovascular Biomedical Research Unit, Bristol Heart Institute, University Hospitals Bristol NHS Foundation Trust, BS2 8HW, Bristol, UK
| | - Gergley Szantho
- Department of Cardiovascular Magnetic Resonance, Bristol Cardiovascular Biomedical Research Unit, Bristol Heart Institute, University Hospitals Bristol NHS Foundation Trust, BS2 8HW, Bristol, UK
| | - Amy E Burchell
- BHI CardioNomics Research Group, Clinical Research and Imaging Centre-Bristol, University of Bristol, Bristol, UK
| | - Laura E K Ratcliffe
- BHI CardioNomics Research Group, Clinical Research and Imaging Centre-Bristol, University of Bristol, Bristol, UK
| | - Emma C Hart
- School of Physiology, Pharmacology & Neuroscience, Faculty of Biomedical Science, University of Bristol, Bristol, UK.,BHI CardioNomics Research Group, Clinical Research and Imaging Centre-Bristol, University of Bristol, Bristol, UK
| | - Angus K Nightingale
- BHI CardioNomics Research Group, Clinical Research and Imaging Centre-Bristol, University of Bristol, Bristol, UK
| | - Julian F R Paton
- School of Physiology, Pharmacology & Neuroscience, Faculty of Biomedical Science, University of Bristol, Bristol, UK.,BHI CardioNomics Research Group, Clinical Research and Imaging Centre-Bristol, University of Bristol, Bristol, UK
| | - Nathan E Manghat
- Department of Radiology, Bristol Royal Infirmary, University Bristol NHS Foundation Trust, Bristol, UK
| | - Mark C K Hamilton
- Department of Radiology, Bristol Royal Infirmary, University Bristol NHS Foundation Trust, Bristol, UK
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Schelbert EB, Bering P. Constancy of Spatial Variation in Diffuse Myocardial Disease: Implications for Diagnosing Disease. Circ Cardiovasc Imaging 2018; 11:e007836. [PMID: 29853468 DOI: 10.1161/circimaging.118.007836] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Erik B Schelbert
- UPMC Cardiovascular Magnetic Resonance Center, Heart and Vascular Institute, UMPC, Pittsburgh, PA (E.B.S., P.B.). .,Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine, PA (E.B.S.)
| | - Patrick Bering
- UPMC Cardiovascular Magnetic Resonance Center, Heart and Vascular Institute, UMPC, Pittsburgh, PA (E.B.S., P.B.)
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Barbieri A, Rossi A, Gaibazzi N, Erlicher A, Mureddu GF, Frattini S, Faden G, Manicardi M, Beraldi M, Agostini F, Lazzarini V, Moreo A, Temporelli PL, Faggiano P. Refined 4-group classification of left ventricular hypertrophy based on ventricular concentricity and volume dilatation outlines distinct noninvasive hemodynamic profiles in a large contemporary echocardiographic population. Echocardiography 2018; 35:1258-1265. [PMID: 29797430 DOI: 10.1111/echo.14031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Left ventricular hypertrophy (LVH) may reflect a wide variety of physiologic and pathologic conditions. Thus, it can be misleading to consider all LVH to be homogenous or similar. Refined 4-group classification of LVH based on ventricular concentricity and dilatation may be identified. To determine whether the 4-group classification of LVH identified distinct phenotypes, we compared their association with various noninvasive markers of cardiac stress. METHODS Cohort of unselected adult outpatients referred to a seven tertiary care echocardiographic laboratory for any indication in a 2-week period. We evaluated the LV geometric patterns using validated echocardiographic indexation methods and partition values. RESULTS Standard echocardiography was performed in 1137 consecutive subjects, and LVH was found in 42%. The newly proposed 4-group classification of LVH was applicable in 88% of patients. The most common pattern resulted in concentric LVH (19%). The worst functional and hemodynamic profile was associated with eccentric LVH and those with mixed LVH had a higher prevalence of reduced EF than those with concentric LVH (P < .001 for all). CONCLUSIONS The new 4-group classification of LVH system showed distinct differences in cardiac function and noninvasive hemodynamics allowing clinicians to distinguish different LV hemodynamic stress adaptations in patients with LVH.
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Affiliation(s)
- Andrea Barbieri
- Department of Cardiology, Policlinico Hospital, Modena and Reggio Emilia University, Modena, Italy
| | - Andrea Rossi
- Section of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - Nicola Gaibazzi
- Cardiology Division, Parma University Hospital, Parma, Italy
| | | | | | | | - Giacomo Faden
- Cardiology Division, Spedali Civili and University of Brescia, Brescia, Italy
| | - Marcella Manicardi
- Department of Cardiology, Policlinico Hospital, Modena and Reggio Emilia University, Modena, Italy
| | - Monica Beraldi
- Cardiological Department, "Carlo Poma" Hospital Mantova, Mantova, Italy
| | | | | | | | | | - Pompilio Faggiano
- Cardiology Division, Spedali Civili and University of Brescia, Brescia, Italy
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24
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Atlas-Based Computational Analysis of Heart Shape and Function in Congenital Heart Disease. J Cardiovasc Transl Res 2018; 11:123-132. [PMID: 29294215 DOI: 10.1007/s12265-017-9778-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Accepted: 12/18/2017] [Indexed: 12/18/2022]
Abstract
Approximately 1% of all babies are born with some form of congenital heart defect. Many serious forms of CHD can now be surgically corrected after birth, which has led to improved survival into adulthood. However, many patients require serial monitoring to evaluate progression of heart failure and determine timing of interventions. Accurate multidimensional quantification of regional heart shape and function is required for characterizing these patients. A computational atlas of single ventricle and biventricular heart shape and function enables quantification of remodeling in terms of z scores in relation to specific reference populations. Progression of disease can then be monitored effectively by longitudinal evaluation of z scores. A biomechanical analysis of cardiac function in relation to population variation enables investigation of the underlying mechanisms for developing pathology. Here, we summarize recent progress in this field, with examples in single ventricle and biventricular congenital pathologies.
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25
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Biffi C, de Marvao A, Attard MI, Dawes TJW, Whiffin N, Bai W, Shi W, Francis C, Meyer H, Buchan R, Cook SA, Rueckert D, O’Regan DP. Three-dimensional cardiovascular imaging-genetics: a mass univariate framework. Bioinformatics 2018; 34:97-103. [PMID: 28968671 PMCID: PMC5870605 DOI: 10.1093/bioinformatics/btx552] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 08/10/2017] [Accepted: 09/01/2017] [Indexed: 01/19/2023] Open
Abstract
Motivation Left ventricular (LV) hypertrophy is a strong predictor of cardiovascular outcomes, but its genetic regulation remains largely unexplained. Conventional phenotyping relies on manual calculation of LV mass and wall thickness, but advanced cardiac image analysis presents an opportunity for high-throughput mapping of genotype-phenotype associations in three dimensions (3D). Results High-resolution cardiac magnetic resonance images were automatically segmented in 1124 healthy volunteers to create a 3D shape model of the heart. Mass univariate regression was used to plot a 3D effect-size map for the association between wall thickness and a set of predictors at each vertex in the mesh. The vertices where a significant effect exists were determined by applying threshold-free cluster enhancement to boost areas of signal with spatial contiguity. Experiments on simulated phenotypic signals and SNP replication show that this approach offers a substantial gain in statistical power for cardiac genotype-phenotype associations while providing good control of the false discovery rate. This framework models the effects of genetic variation throughout the heart and can be automatically applied to large population cohorts. Availability and implementation The proposed approach has been coded in an R package freely available at https://doi.org/10.5281/zenodo.834610 together with the clinical data used in this work. Contact declan.oregan@imperial.ac.uk. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Carlo Biffi
- Department of Computing, Imperial College London, South Kensington Campus, London, UK
- Cardiovascular Magnetic Resonance Imaging and Genetics, MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK
| | - Antonio de Marvao
- Cardiovascular Magnetic Resonance Imaging and Genetics, MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK
| | - Mark I Attard
- Cardiovascular Magnetic Resonance Imaging and Genetics, MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK
| | - Timothy J W Dawes
- Cardiovascular Magnetic Resonance Imaging and Genetics, MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK
- Quantitative Physiology and Genetics, National Heart and Lung Institute, Imperial College London, London, UK
| | - Nicola Whiffin
- Cardiovascular Magnetic Resonance Imaging and Genetics, MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK
- Quantitative Physiology and Genetics, National Heart and Lung Institute, Imperial College London, London, UK
- NIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Trust, London, UK
| | - Wenjia Bai
- Department of Computing, Imperial College London, South Kensington Campus, London, UK
| | - Wenzhe Shi
- Department of Computing, Imperial College London, South Kensington Campus, London, UK
| | - Catherine Francis
- Quantitative Physiology and Genetics, National Heart and Lung Institute, Imperial College London, London, UK
- NIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Trust, London, UK
| | - Hannah Meyer
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Rachel Buchan
- Quantitative Physiology and Genetics, National Heart and Lung Institute, Imperial College London, London, UK
- NIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Trust, London, UK
| | - Stuart A Cook
- Cardiovascular Magnetic Resonance Imaging and Genetics, MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK
- Quantitative Physiology and Genetics, National Heart and Lung Institute, Imperial College London, London, UK
- NIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Trust, London, UK
- Department of Cardiology, National Heart Centre Singapore, Singapore
- Programme in Cardiovascular and Metabolic Disorders, Duke National University Singapore, Singapore
| | - Daniel Rueckert
- Department of Computing, Imperial College London, South Kensington Campus, London, UK
| | - Declan P O’Regan
- Cardiovascular Magnetic Resonance Imaging and Genetics, MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK
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Suinesiaputra A, Sanghvi MM, Aung N, Paiva JM, Zemrak F, Fung K, Lukaschuk E, Lee AM, Carapella V, Kim YJ, Francis J, Piechnik SK, Neubauer S, Greiser A, Jolly MP, Hayes C, Young AA, Petersen SE. Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results. Int J Cardiovasc Imaging 2017; 34:281-291. [PMID: 28836039 PMCID: PMC5809564 DOI: 10.1007/s10554-017-1225-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Accepted: 08/05/2017] [Indexed: 12/26/2022]
Abstract
UK Biobank, a large cohort study, plans to acquire 100,000 cardiac MRI studies by 2020. Although fully-automated left ventricular (LV) analysis was performed in the original acquisition, this was not designed for unsupervised incorporation into epidemiological studies. We sought to evaluate automated LV mass and volume (Siemens syngo InlineVF versions D13A and E11C), against manual analysis in a substantial sub-cohort of UK Biobank participants. Eight readers from two centers, trained to give consistent results, manually analyzed 4874 UK Biobank cases for LV end-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF) and LV mass (LVM). Agreement between manual and InlineVF automated analyses were evaluated using Bland–Altman analysis and the intra-class correlation coefficient (ICC). Tenfold cross-validation was used to establish a linear regression calibration between manual and InlineVF results. InlineVF D13A returned results in 4423 cases, whereas InlineVF E11C returned results in 4775 cases and also reported LVM. Rapid visual assessment of the E11C results found 178 cases (3.7%) with grossly misplaced contours or landmarks. In the remaining 4597 cases, LV function showed good agreement: ESV −6.4 ± 9.0 ml, 0.853 (mean ± SD of the differences, ICC) EDV −3.0 ± 11.6 ml, 0.937; SV 3.4 ± 9.8 ml, 0.855; and EF 3.5 ± 5.1%, 0.586. Although LV mass was consistently overestimated (29.9 ± 17.0 g, 0.534) due to larger epicardial contours on all slices, linear regression could be used to correct the bias and improve accuracy. Automated InlineVF results can be used for case-control studies in UK Biobank, provided visual quality control and linear bias correction are performed. Improvements between InlineVF D13A and InlineVF E11C show the field is rapidly advancing, with further improvements expected in the near future.
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Affiliation(s)
- Avan Suinesiaputra
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Road, Auckland, 1142 New Zealand
| | - Mihir M. Sanghvi
- William Harvey Research Institute, NIHR Cardiovascular Biomedical Research Centre at Barts, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ UK
| | - Nay Aung
- William Harvey Research Institute, NIHR Cardiovascular Biomedical Research Centre at Barts, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ UK
| | - Jose Miguel Paiva
- William Harvey Research Institute, NIHR Cardiovascular Biomedical Research Centre at Barts, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ UK
| | - Filip Zemrak
- William Harvey Research Institute, NIHR Cardiovascular Biomedical Research Centre at Barts, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ UK
| | - Kenneth Fung
- William Harvey Research Institute, NIHR Cardiovascular Biomedical Research Centre at Barts, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ UK
| | - Elena Lukaschuk
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Aaron M. Lee
- William Harvey Research Institute, NIHR Cardiovascular Biomedical Research Centre at Barts, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ UK
| | - Valentina Carapella
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Young Jin Kim
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Jane Francis
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Stefan K. Piechnik
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | | | | | | | - Alistair A. Young
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Road, Auckland, 1142 New Zealand
| | - Steffen E. Petersen
- William Harvey Research Institute, NIHR Cardiovascular Biomedical Research Centre at Barts, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ UK
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Titin-truncating variants affect heart function in disease cohorts and the general population. Nat Genet 2016; 49:46-53. [PMID: 27869827 PMCID: PMC5201198 DOI: 10.1038/ng.3719] [Citation(s) in RCA: 224] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2016] [Accepted: 10/18/2016] [Indexed: 11/08/2022]
Abstract
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.
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Oktay AA, Lavie CJ, Milani RV, Ventura HO, Gilliland YE, Shah S, Cash ME. Current Perspectives on Left Ventricular Geometry in Systemic Hypertension. Prog Cardiovasc Dis 2016; 59:235-246. [PMID: 27614172 DOI: 10.1016/j.pcad.2016.09.001] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Accepted: 09/02/2016] [Indexed: 12/11/2022]
Abstract
Hypertension (HTN) is a global health problem and a leading risk factor for cardiovascular disease (CVD) morbidity and mortality. The hemodynamic overload from HTN causes left ventricular (LV) remodeling, which usually manifests as distinct alterations in LV geometry, such as concentric remodeling or concentric and eccentric LV hypertrophy (LVH). In addition to being a common target organ response to HTN, LV geometric abnormalities are well-known independent risk factors for CVD. Because of their prognostic implications and quantifiable nature, changes in LV geometric parameters have commonly been included as an outcome in anti-HTN drug trials. The purpose of this paper is to review the relationship between HTN and LV geometric changes with a focus on (1) diagnostic approach, (2) epidemiology, (3) pathophysiology, (4) prognostic effect and (5) LV response to anti-HTN therapy and its impact on CVD risk reduction.
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Affiliation(s)
- Ahmet Afşin Oktay
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA
| | - Carl J Lavie
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA.
| | - Richard V Milani
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA
| | - Hector O Ventura
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA
| | - Yvonne E Gilliland
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA
| | - Sangeeta Shah
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA
| | - Michael E Cash
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA
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Hypertensive heart disease versus hypertrophic cardiomyopathy: multi-parametric cardiovascular magnetic resonance discriminators when end-diastolic wall thickness ≥ 15 mm. Eur Radiol 2016; 27:1125-1135. [DOI: 10.1007/s00330-016-4468-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 04/26/2016] [Accepted: 06/07/2016] [Indexed: 01/04/2023]
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Rodrigues JCL, Dastidar AG, Paton JFR, MacIver DH. Precursors of Hypertensive Heart Phenotype Develop in Healthy Adults: An Alternative Explanation. JACC Cardiovasc Imaging 2016; 9:762-3. [PMID: 26971001 DOI: 10.1016/j.jcmg.2015.11.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Accepted: 11/19/2015] [Indexed: 11/27/2022]
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Corden B, de Marvao A, Dawes TJ, Shi W, Rueckert D, Cook SA, O'Regan DP. Relationship between body composition and left ventricular geometry using three dimensional cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2016; 18:32. [PMID: 27245154 PMCID: PMC4888671 DOI: 10.1186/s12968-016-0251-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 05/18/2016] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Although obesity is associated with alterations in left ventricular (LV) mass and volume which are of prognostic significance, widely differing patterns of remodelling have been attributed to adiposity. Our aim was to define the relationship between body composition and LV geometry using three-dimensional cardiovascular magnetic resonance. METHODS In an observational study 1530 volunteers (55 % female, mean age 41.3 years) without known cardiovascular disease underwent investigation including breath-hold high spatial resolution 3D cines. Atlas-based segmentation and co-registration was used to create a statistical model of wall thickness (WT) and relative wall thickness (RWT) throughout the LV. The relationship between bio-impedence body composition and LV geometry was assessed using 3D regression models adjusted for age, systolic blood pressure (BP), gender, race and height, with correction to control the false discovery rate. RESULTS LV mass was positively associated with fat mass in women but not in men (LV mass: women β = 0.11, p < 0.0001; men β = -0.01, p = 0.82). The 3D models revealed that in males fat mass was strongly associated with a concentric increase in relative wall thickness (RWT) throughout most of the LV (β = 0.37, significant area = 96 %) and a reduced mid-ventricular cavity (β = -0.22, significant area = 91 %). In women the regional concentric hypertrophic association was weaker, and the basal lateral wall showed an inverse relationship between RWT and fat mass (β = -0.11, significant area = 4.8 %). CONCLUSIONS In an adult population without known cardiovascular disease increasing body fat is predominately associated with asymmetric concentric hypertrophy independent of systolic BP, with women demonstrating greater cavity dilatation than men. Conventional mass and volume measurements underestimate the impact of body composition on LV structure due to anatomic variation in remodelling.
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Affiliation(s)
- Ben Corden
- Medical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, London, UK
| | - Antonio de Marvao
- Medical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, London, UK
| | - Timothy J Dawes
- Medical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, London, UK
| | - Wenzhe Shi
- Medical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, London, UK
- Department of Computing, Imperial College London, South Kensington Campus, London, UK
| | - Daniel Rueckert
- Department of Computing, Imperial College London, South Kensington Campus, London, UK
| | - Stuart A Cook
- Medical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, London, UK
- National Heart Centre Singapore, Singapore and Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Declan P O'Regan
- Medical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, London, UK.
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32
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de Marvao A, Cook SA, O'Regan DP. The Authors Reply. JACC Cardiovasc Imaging 2016; 9:763-4. [PMID: 26971005 DOI: 10.1016/j.jcmg.2015.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Revised: 12/02/2015] [Accepted: 12/08/2015] [Indexed: 11/19/2022]
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Reichek N, Young A. Regional Heterogeneity of LV Wall Thickness. JACC Cardiovasc Imaging 2015; 8:1270-1. [PMID: 26563856 DOI: 10.1016/j.jcmg.2015.08.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 08/20/2015] [Indexed: 11/16/2022]
Affiliation(s)
- Nathaniel Reichek
- Department of Cardiac Imaging, St. Francis Hospital, Stony Brook University, State University of New York, Stony Brook, New York; Research Department, St. Francis Hospital, Stony Brook University, State University of New York, Stony Brook, New York.
| | - Alistair Young
- Department of Anatomy with Radiology, University of Auckland, Auckland, New Zealand
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