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Bonazzola R, Ferrante E, Ravikumar N, Xia Y, Keavney B, Plein S, Syeda-Mahmood T, Frangi AF. Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. NAT MACH INTELL 2024; 6:291-306. [PMID: 38523678 PMCID: PMC10957472 DOI: 10.1038/s42256-024-00801-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 01/25/2024] [Indexed: 03/26/2024]
Abstract
Recent genome-wide association studies have successfully identified associations between genetic variants and simple cardiac morphological parameters derived from cardiac magnetic resonance images. However, the emergence of large databases, including genetic data linked to cardiac magnetic resonance facilitates the investigation of more nuanced patterns of cardiac shape variability than those studied so far. Here we propose a framework for gene discovery coined unsupervised phenotype ensembles. The unsupervised phenotype ensemble builds a redundant yet highly expressive representation by pooling a set of phenotypes learnt in an unsupervised manner, using deep learning models trained with different hyperparameters. These phenotypes are then analysed via genome-wide association studies, retaining only highly confident and stable associations across the ensemble. We applied our approach to the UK Biobank database to extract geometric features of the left ventricle from image-derived three-dimensional meshes. We demonstrate that our approach greatly improves the discoverability of genes that influence left ventricle shape, identifying 49 loci with study-wide significance and 25 with suggestive significance. We argue that our approach would enable more extensive discovery of gene associations with image-derived phenotypes for other organs or image modalities.
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Affiliation(s)
- Rodrigo Bonazzola
- Centre for Computational Imaging and Simulation Technologies in Biomedicine, School of Computing and School of Medicine, University of Leeds, Leeds, UK
- Leeds Institute of Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds, UK
| | - Enzo Ferrante
- Research Institute for Signals, Systems and Computational Intelligence, sinc(i), FICH-UNL/CONICET, Santa Fe, Argentina
| | - Nishant Ravikumar
- Centre for Computational Imaging and Simulation Technologies in Biomedicine, School of Computing and School of Medicine, University of Leeds, Leeds, UK
- Leeds Institute of Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds, UK
| | - Yan Xia
- Centre for Computational Imaging and Simulation Technologies in Biomedicine, School of Computing and School of Medicine, University of Leeds, Leeds, UK
- Leeds Institute of Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds, UK
| | - Bernard Keavney
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester, UK
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds, UK
| | | | - Alejandro F. Frangi
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Department of Computer Science, School of Engineering, Faculty of Science and Engineering, University of Manchester, Manchester, UK
- Medical Imaging Research Center (MIRC), University Hospital Gasthuisberg. Cardiovascular Sciences and Electrical Engineering Departments, KU Leuven, Leuven, Belgium
- Alan Turing Institute, London, UK
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2
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Broberg M, Ampuja M, Jones S, Ojala T, Rahkonen O, Kivelä R, Priest J, Palotie A, Ollila HM, Helle E. Genome-wide association studies highlight novel risk loci for septal defects and left-sided congenital heart defects. BMC Genomics 2024; 25:256. [PMID: 38454350 PMCID: PMC10918883 DOI: 10.1186/s12864-024-10172-x] [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: 08/04/2023] [Accepted: 02/28/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Congenital heart defects (CHD) are structural defects of the heart affecting approximately 1% of newborns. They exhibit low penetrance and non-Mendelian patterns of inheritance as varied and complex traits. While genetic factors are known to play an important role in the development of CHD, the specific genetics remain unknown for the majority of patients. To elucidate the underlying genetic risk, we performed a genome wide association study (GWAS) of CHDs in general and specific CHD subgroups using the FinnGen Release 10 (R10) (N > 393,000), followed by functional fine-mapping through eQTL and co-localization analyses using the GTEx database. RESULTS We discovered three genome-wide significant loci associated with general CHD. Two of them were located in chromosome 17: 17q21.32 (rs2316327, intronic: LRRC37A2, Odds ratio (OR) [95% Confidence Interval (CI)] = 1.17[1.12-1.23], p = 1.5 × 10-9) and 17q25.3 (rs1293973611, nearest: BAHCC1, OR[95%CI] = 4.48[2.80-7.17], p = 7.0 × 10-10), respectively, and in addition to general CHD, the rs1293973611 locus was associated with the septal defect subtype. The third locus was in band 1p21.2 (rs35046143, nearest: PALMD, OR[95%CI] = 1.15[1.09-1.21], p = 7.1 × 10-9), and it was associated with general CHD and left-sided lesions. In the subgroup analysis, two additional loci were associated with septal defects (rs75230966 and rs6824295), and one with left-sided lesions (rs1305393195). In the eQTL analysis the variants rs2316327 (general CHD), and rs75230966 (septal defects) both located in 17q21.32 (with a LD r2 of 0.41) were both predicted to significantly associate with the expression of WNT9B in the atrial appendage tissue category. This effect was further confirmed by co-localization analysis, which also implicated WNT3 expression in the atrial appendage. A meta-analysis of general CHD together with the UK Biobank (combined N = 881,678) provided a different genome-wide significant locus in LRRC37A2; rs16941382 (OR[95%CI] = 1.15[1.11-1.20], p = 1.5 × 10-9) which is in significant LD with rs2316327. CONCLUSIONS Our results of general CHD and different CHD subcategories identified a complex risk locus on chromosome 17 near BAHCC1 and LRRC37A2, interacting with the genes WNT9B, WNT3 and MYL4, may constitute potential novel CHD risk associated loci, warranting future experimental tests to determine their role.
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Affiliation(s)
- Martin Broberg
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, 00014, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, 00014, Helsinki, Finland
| | - Minna Ampuja
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, 00014, Helsinki, Finland
| | - Samuel Jones
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, 00014, Helsinki, Finland
| | - Tiina Ojala
- Department of Pediatric Cardiology, New Children's Hospital, Pediatric Research Center, Helsinki University Hospital, 00029, Helsinki, Finland
| | - Otto Rahkonen
- Department of Pediatric Cardiology, New Children's Hospital, Pediatric Research Center, Helsinki University Hospital, 00029, Helsinki, Finland
| | - Riikka Kivelä
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, 00014, Helsinki, Finland
- Wihuri Research Institute, 00290, Helsinki, Finland
- Faculty of Sport and Health Sciences, University of Jyväskylä, 40014, Jyväskylä, Finland
| | - James Priest
- School of Medicine, Stanford University, Stanford University, Stanford, CA, 94305, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, 00014, Helsinki, Finland
| | - Hanna M Ollila
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, 00014, Helsinki, Finland
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Emmi Helle
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, 00014, Helsinki, Finland.
- Department of Pediatric Cardiology, New Children's Hospital, Pediatric Research Center, Helsinki University Hospital, 00029, Helsinki, Finland.
- , Haartmaninkatu 8, Helsinki, 00014, Finland.
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, 00271, Finland.
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3
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Padmanabhan A, de Soysa TY, Pelonero A, Sapp V, Shah PP, Wang Q, Li L, Lee CY, Sadagopan N, Nishino T, Ye L, Yang R, Karnay A, Poleshko A, Bolar N, Linares-Saldana R, Ranade SS, Alexanian M, Morton SU, Jain M, Haldar SM, Srivastava D, Jain R. A genome-wide CRISPR screen identifies BRD4 as a regulator of cardiomyocyte differentiation. NATURE CARDIOVASCULAR RESEARCH 2024; 3:317-331. [PMID: 39196112 PMCID: PMC11361716 DOI: 10.1038/s44161-024-00431-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 01/19/2024] [Indexed: 08/29/2024]
Abstract
Human induced pluripotent stem cell (hiPSC) to cardiomyocyte (CM) differentiation has reshaped approaches to studying cardiac development and disease. In this study, we employed a genome-wide CRISPR screen in a hiPSC to CM differentiation system and reveal here that BRD4, a member of the bromodomain and extraterminal (BET) family, regulates CM differentiation. Chemical inhibition of BET proteins in mouse embryonic stem cell (mESC)-derived or hiPSC-derived cardiac progenitor cells (CPCs) results in decreased CM differentiation and persistence of cells expressing progenitor markers. In vivo, BRD4 deletion in second heart field (SHF) CPCs results in embryonic or early postnatal lethality, with mutants demonstrating myocardial hypoplasia and an increase in CPCs. Single-cell transcriptomics identified a subpopulation of SHF CPCs that is sensitive to BRD4 loss and associated with attenuated CM lineage-specific gene programs. These results highlight a previously unrecognized role for BRD4 in CM fate determination during development and a heterogenous requirement for BRD4 among SHF CPCs.
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Affiliation(s)
- Arun Padmanabhan
- Gladstone Institutes, San Francisco, CA, USA.
- Department of Medicine, University of California, San Francisco, School of Medicine, San Francisco, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
| | | | | | - Valerie Sapp
- Department of Medicine, University of California, San Diego, School of Medicine, San Diego, CA, USA
- Department of Pharmacology, University of California, San Diego, San Diego, CA, USA
| | - Parisha P Shah
- Cardiovascular Institute, Epigenetics Institute, and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Qiaohong Wang
- Cardiovascular Institute, Epigenetics Institute, and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Li Li
- Cardiovascular Institute, Epigenetics Institute, and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Clara Youngna Lee
- Gladstone Institutes, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, School of Medicine, San Francisco, CA, USA
| | - Nandhini Sadagopan
- Gladstone Institutes, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, School of Medicine, San Francisco, CA, USA
| | | | - Lin Ye
- Gladstone Institutes, San Francisco, CA, USA
| | - Rachel Yang
- Cardiovascular Institute, Epigenetics Institute, and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ashley Karnay
- Cardiovascular Institute, Epigenetics Institute, and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Andrey Poleshko
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Nikhita Bolar
- Cardiovascular Institute, Epigenetics Institute, and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ricardo Linares-Saldana
- Cardiovascular Institute, Epigenetics Institute, and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Michael Alexanian
- Gladstone Institutes, San Francisco, CA, USA
- Department of Pediatrics, University of California, San Francisco, School of Medicine, San Francisco, CA, USA
| | - Sarah U Morton
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Mohit Jain
- Department of Medicine, University of California, San Diego, School of Medicine, San Diego, CA, USA
- Department of Pharmacology, University of California, San Diego, San Diego, CA, USA
| | - Saptarsi M Haldar
- Gladstone Institutes, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, School of Medicine, San Francisco, CA, USA
- Amgen Research, Cardiometabolic Disorders, South San Francisco, CA, USA
| | - Deepak Srivastava
- Gladstone Institutes, San Francisco, CA, USA.
- Department of Pediatrics, University of California, San Francisco, School of Medicine, San Francisco, CA, USA.
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone Institutes, San Francisco, CA, USA.
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA.
| | - Rajan Jain
- Cardiovascular Institute, Epigenetics Institute, and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA.
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4
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Bremer SJ, Boxnick A, Glau L, Biermann D, Joosse SA, Thiele F, Billeb E, May J, Kolster M, Hackbusch R, Fortmann MI, Kozlik-Feldmann R, Hübler M, Tolosa E, Sachweh JS, Gieras A. Thymic Atrophy and Immune Dysregulation in Infants with Complex Congenital Heart Disease. J Clin Immunol 2024; 44:69. [PMID: 38393459 PMCID: PMC10891212 DOI: 10.1007/s10875-024-01662-4] [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: 10/11/2023] [Accepted: 01/24/2024] [Indexed: 02/25/2024]
Abstract
Congenital heart disease (CHD) is the most common birth defect, and up to 50% of infants with CHD require cardiovascular surgery early in life. Current clinical practice often involves thymus resection during cardiac surgery, detrimentally affecting T-cell immunity. However, epidemiological data indicate that CHD patients face an elevated risk for infections and immune-mediated diseases, independent of thymectomy. Hence, we examined whether the cardiac defect impacts thymus function in individuals with CHD. We investigated thymocyte development in 58 infants categorized by CHD complexity. To assess the relationship between CHD complexity and thymic function, we analyzed T-cell development, thymic output, and biomarkers linked to cardiac defects, stress, or inflammation. Patients with highly complex CHD exhibit thymic atrophy, resulting in low frequencies of recent thymic emigrants in peripheral blood, even prior to thymectomy. Elevated plasma cortisol levels were detected in all CHD patients, while high NT-proBNP and IL-6 levels were associated with thymic atrophy. Our findings reveal an association between complex CHD and thymic atrophy, resulting in reduced thymic output. Consequently, thymus preservation during cardiovascular surgery could significantly enhance immune function and the long-term health of CHD patients.
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Affiliation(s)
- Sarah-Jolan Bremer
- Department of Immunology, University Medical Center Hamburg-Eppendorf, N27, Martinistraße 52, 20246, Hamburg, Germany
- University Children's Research, UCR@Kinder-UKE, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Annika Boxnick
- Department of Immunology, University Medical Center Hamburg-Eppendorf, N27, Martinistraße 52, 20246, Hamburg, Germany
| | - Laura Glau
- Department of Immunology, University Medical Center Hamburg-Eppendorf, N27, Martinistraße 52, 20246, Hamburg, Germany
| | - Daniel Biermann
- Congenital and Pediatric Heart Surgery, Children's Heart Clinic, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Simon A Joosse
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Mildred Scheel Cancer Career Center HaTriCS4, University, Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Friederike Thiele
- Department of Immunology, University Medical Center Hamburg-Eppendorf, N27, Martinistraße 52, 20246, Hamburg, Germany
| | - Elena Billeb
- Department of Immunology, University Medical Center Hamburg-Eppendorf, N27, Martinistraße 52, 20246, Hamburg, Germany
- University Children's Research, UCR@Kinder-UKE, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jonathan May
- Department of Immunology, University Medical Center Hamburg-Eppendorf, N27, Martinistraße 52, 20246, Hamburg, Germany
| | - Manuela Kolster
- Department of Immunology, University Medical Center Hamburg-Eppendorf, N27, Martinistraße 52, 20246, Hamburg, Germany
| | - Romy Hackbusch
- Department of Immunology, University Medical Center Hamburg-Eppendorf, N27, Martinistraße 52, 20246, Hamburg, Germany
| | | | - Rainer Kozlik-Feldmann
- Department of Pediatric Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael Hübler
- Congenital and Pediatric Heart Surgery, Children's Heart Clinic, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Eva Tolosa
- Department of Immunology, University Medical Center Hamburg-Eppendorf, N27, Martinistraße 52, 20246, Hamburg, Germany
| | - Jörg Siegmar Sachweh
- Congenital and Pediatric Heart Surgery, Children's Heart Clinic, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Anna Gieras
- Department of Immunology, University Medical Center Hamburg-Eppendorf, N27, Martinistraße 52, 20246, Hamburg, Germany.
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 175] [Impact Index Per Article: 175.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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6
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Grabowska ME, Van Driest SL, Robinson JR, Patrick AE, Guardo C, Gangireddy S, Ong HH, Feng Q, Carroll R, Kannankeril PJ, Wei WQ. Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records. J Am Med Inform Assoc 2024; 31:386-395. [PMID: 38041473 PMCID: PMC10797257 DOI: 10.1093/jamia/ocad233] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/04/2023] [Accepted: 11/20/2023] [Indexed: 12/03/2023] Open
Abstract
OBJECTIVE Pediatric patients have different diseases and outcomes than adults; however, existing phecodes do not capture the distinctive pediatric spectrum of disease. We aim to develop specialized pediatric phecodes (Peds-Phecodes) to enable efficient, large-scale phenotypic analyses of pediatric patients. MATERIALS AND METHODS We adopted a hybrid data- and knowledge-driven approach leveraging electronic health records (EHRs) and genetic data from Vanderbilt University Medical Center to modify the most recent version of phecodes to better capture pediatric phenotypes. First, we compared the prevalence of patient diagnoses in pediatric and adult populations to identify disease phenotypes differentially affecting children and adults. We then used clinical domain knowledge to remove phecodes representing phenotypes unlikely to affect pediatric patients and create new phecodes for phenotypes relevant to the pediatric population. We further compared phenome-wide association study (PheWAS) outcomes replicating known pediatric genotype-phenotype associations between Peds-Phecodes and phecodes. RESULTS The Peds-Phecodes aggregate 15 533 ICD-9-CM codes and 82 949 ICD-10-CM codes into 2051 distinct phecodes. Peds-Phecodes replicated more known pediatric genotype-phenotype associations than phecodes (248 vs 192 out of 687 SNPs, P < .001). DISCUSSION We introduce Peds-Phecodes, a high-throughput EHR phenotyping tool tailored for use in pediatric populations. We successfully validated the Peds-Phecodes using genetic replication studies. Our findings also reveal the potential use of Peds-Phecodes in detecting novel genotype-phenotype associations for pediatric conditions. We expect that Peds-Phecodes will facilitate large-scale phenomic and genomic analyses in pediatric populations. CONCLUSION Peds-Phecodes capture higher-quality pediatric phenotypes and deliver superior PheWAS outcomes compared to phecodes.
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Affiliation(s)
- Monika E Grabowska
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States
| | - Sara L Van Driest
- Department of Pediatrics and the Center for Pediatric Precision Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Jamie R Robinson
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States
- Department of Pediatric Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Anna E Patrick
- Department of Pediatrics and the Center for Pediatric Precision Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Chris Guardo
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States
| | - Srushti Gangireddy
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States
| | - Henry H Ong
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States
| | - QiPing Feng
- Department of Medicine, Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Robert Carroll
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States
| | - Prince J Kannankeril
- Department of Pediatrics and the Center for Pediatric Precision Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Wei-Qi Wei
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States
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7
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Larsen LA, Hitz MP. Human Genetics of Atrial Septal Defect. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1441:467-480. [PMID: 38884726 DOI: 10.1007/978-3-031-44087-8_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
Although atrial septal defects (ASD) can be subdivided based on their anatomical location, an essential aspect of human genetics and genetic counseling is distinguishing between isolated and familiar cases without extracardiac features and syndromic cases with the co-occurrence of extracardiac abnormalities, such as developmental delay. Isolated or familial cases tend to show genetic alterations in genes related to important cardiac transcription factors and genes encoding for sarcomeric proteins. By contrast, the spectrum of genes with genetic alterations observed in syndromic cases is diverse. Currently, it points to different pathways and gene networks relevant to the dysregulation of cardiomyogenesis and ASD pathogenesis. Therefore, this chapter reflects the current knowledge and highlights stable associations observed in human genetics studies. It gives an overview of the different types of genetic alterations in these subtypes, including common associations based on genome-wide association studies (GWAS), and it highlights the most frequently observed syndromes associated with ASD pathogenesis.
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Affiliation(s)
- Lars A Larsen
- Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Marc-Phillip Hitz
- Institute of Medical Genetics, University Medicine Oldenburg, Oldenburg, Germany.
- Department for Paediatric Cardiology, University Hospital Kiel, Kiel, Germany.
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8
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Perrot A, Rickert-Sperling S. Human Genetics of Ventricular Septal Defect. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1441:505-534. [PMID: 38884729 DOI: 10.1007/978-3-031-44087-8_27] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
Ventricular septal defects (VSDs) are recognized as one of the commonest congenital heart diseases (CHD), accounting for up to 40% of all cardiac malformations, and occur as isolated CHDs as well as together with other cardiac and extracardiac congenital malformations in individual patients and families. The genetic etiology of VSD is complex and extraordinarily heterogeneous. Chromosomal abnormalities such as aneuploidy and structural variations as well as rare point mutations in various genes have been reported to be associated with this cardiac defect. This includes both well-defined syndromes with known genetic cause (e.g., DiGeorge syndrome and Holt-Oram syndrome) and so far undefined syndromic forms characterized by unspecific symptoms. Mutations in genes encoding cardiac transcription factors (e.g., NKX2-5 and GATA4) and signaling molecules (e.g., CFC1) have been most frequently found in VSD cases. Moreover, new high-resolution methods such as comparative genomic hybridization enabled the discovery of a high number of different copy number variations, leading to gain or loss of chromosomal regions often containing multiple genes, in patients with VSD. In this chapter, we will describe the broad genetic heterogeneity observed in VSD patients considering recent advances in this field.
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Affiliation(s)
- Andreas Perrot
- Experimental and Clinical Research Center, a Cooperation Between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin Berlin, Berlin, Germany
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Wilsdon A, Loughna S. Human Genetics of Congenital Heart Defects. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1441:57-75. [PMID: 38884704 DOI: 10.1007/978-3-031-44087-8_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
Congenital heart diseases (or congenital heart defects/disorders; CHDs) are structural abnormalities of the heart and/or great vessels that are present at birth. CHDs include an extensive range of defects that may be minor and require no intervention or may be life-limiting and require complex surgery shortly after birth. This chapter reviews the current knowledge on the genetic causes of CHD.
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Affiliation(s)
- Anna Wilsdon
- School of Life Sciences, University of Nottingham, Nottingham, UK.
- Clinical Geneticist at Nottingham Clinical Genetics Department, Nottingham University Hospitals, City Hospital, Nottingham, UK.
| | - Siobhan Loughna
- School of Life Sciences, University of Nottingham, Nottingham, UK
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Zhang H, Wu JC. Deciphering Congenital Heart Disease Using Human Induced Pluripotent Stem Cells. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1441:239-252. [PMID: 38884715 DOI: 10.1007/978-3-031-44087-8_13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
Congenital heart disease (CHD) is a leading cause of birth defect-related death. Despite significant advances, the mechanisms underlying the development of CHD are complex and remain elusive due to a lack of efficient, reproducible, and translational model systems. Investigations relied on animal models have inherent limitations due to interspecies differences. Human induced pluripotent stem cells (iPSCs) have emerged as an effective platform for disease modeling. iPSCs allow for the production of a limitless supply of patient-specific somatic cells that enable advancement in cardiovascular precision medicine. Over the past decade, researchers have developed protocols to differentiate iPSCs to multiple cardiovascular lineages, as well as to enhance the maturity and functionality of these cells. With the development of physiologic three-dimensional cardiac organoids, iPSCs represent a powerful platform to mechanistically dissect CHD and serve as a foundation for future translational research.
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Affiliation(s)
- Hao Zhang
- Stanford Cardiovascular Institute, Stanford, CA, USA
| | - Joseph C Wu
- Stanford Cardiovascular Institute, Stanford, CA, USA.
- Department of Medicine, Division of Cardiovascular Medicine, Stanford, CA, USA.
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
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Chhatwal K, Smith JJ, Bola H, Zahid A, Venkatakrishnan A, Brand T. Uncovering the Genetic Basis of Congenital Heart Disease: Recent Advancements and Implications for Clinical Management. CJC PEDIATRIC AND CONGENITAL HEART DISEASE 2023; 2:464-480. [PMID: 38205435 PMCID: PMC10777202 DOI: 10.1016/j.cjcpc.2023.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 10/13/2023] [Indexed: 01/12/2024]
Abstract
Congenital heart disease (CHD) is the most prevalent hereditary disorder, affecting approximately 1% of all live births. A reduction in morbidity and mortality has been achieved with advancements in surgical intervention, yet challenges in managing complications, extracardiac abnormalities, and comorbidities still exist. To address these, a more comprehensive understanding of the genetic basis underlying CHD is required to establish how certain variants are associated with the clinical outcomes. This will enable clinicians to provide personalized treatments by predicting the risk and prognosis, which might improve the therapeutic results and the patient's quality of life. We review how advancements in genome sequencing are changing our understanding of the genetic basis of CHD, discuss experimental approaches to determine the significance of novel variants, and identify barriers to use this knowledge in the clinics. Next-generation sequencing technologies are unravelling the role of oligogenic inheritance, epigenetic modification, genetic mosaicism, and noncoding variants in controlling the expression of candidate CHD-associated genes. However, clinical risk prediction based on these factors remains challenging. Therefore, studies involving human-induced pluripotent stem cells and single-cell sequencing help create preclinical frameworks for determining the significance of novel genetic variants. Clinicians should be aware of the benefits and implications of the responsible use of genomics. To facilitate and accelerate the clinical integration of these novel technologies, clinicians should actively engage in the latest scientific and technical developments to provide better, more personalized management plans for patients.
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Affiliation(s)
- Karanjot Chhatwal
- Imperial College School of Medicine, Imperial College London, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, Imperial Center of Clinical and Translational Medicine, London, United Kingdom
| | - Jacob J. Smith
- Imperial College School of Medicine, Imperial College London, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, Imperial Center of Clinical and Translational Medicine, London, United Kingdom
| | - Harroop Bola
- Imperial College School of Medicine, Imperial College London, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, Imperial Center of Clinical and Translational Medicine, London, United Kingdom
| | - Abeer Zahid
- Imperial College School of Medicine, Imperial College London, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, Imperial Center of Clinical and Translational Medicine, London, United Kingdom
| | - Ashwin Venkatakrishnan
- Imperial College School of Medicine, Imperial College London, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, Imperial Center of Clinical and Translational Medicine, London, United Kingdom
| | - Thomas Brand
- National Heart and Lung Institute, Imperial College London, Imperial Center of Clinical and Translational Medicine, London, United Kingdom
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Huang M, Lyu C, Liu N, Nembhard WN, Witte JS, Hobbs CA, Li M. A gene-based association test of interactions for maternal-fetal genotypes identifies genes associated with nonsyndromic congenital heart defects. Genet Epidemiol 2023; 47:475-495. [PMID: 37341229 DOI: 10.1002/gepi.22533] [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: 02/10/2023] [Revised: 04/13/2023] [Accepted: 06/02/2023] [Indexed: 06/22/2023]
Abstract
The risk of congenital heart defects (CHDs) may be influenced by maternal genes, fetal genes, and their interactions. Existing methods commonly test the effects of maternal and fetal variants one-at-a-time and may have reduced statistical power to detect genetic variants with low minor allele frequencies. In this article, we propose a gene-based association test of interactions for maternal-fetal genotypes (GATI-MFG) using a case-mother and control-mother design. GATI-MFG can integrate the effects of multiple variants within a gene or genomic region and evaluate the joint effect of maternal and fetal genotypes while allowing for their interactions. In simulation studies, GATI-MFG had improved statistical power over alternative methods, such as the single-variant test and functional data analysis (FDA) under various disease scenarios. We further applied GATI-MFG to a two-phase genome-wide association study of CHDs for the testing of both common variants and rare variants using 947 CHD case mother-infant pairs and 1306 control mother-infant pairs from the National Birth Defects Prevention Study (NBDPS). After Bonferroni adjustment for 23,035 genes, two genes on chromosome 17, TMEM107 (p = 1.64e-06) and CTC1 (p = 2.0e-06), were identified for significant association with CHD in common variants analysis. Gene TMEM107 regulates ciliogenesis and ciliary protein composition and was found to be associated with heterotaxy. Gene CTC1 plays an essential role in protecting telomeres from degradation, which was suggested to be associated with cardiogenesis. Overall, GATI-MFG outperformed the single-variant test and FDA in the simulations, and the results of application to NBDPS samples are consistent with existing literature supporting the association of TMEM107 and CTC1 with CHDs.
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Affiliation(s)
- Manyan Huang
- Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, USA
| | - Chen Lyu
- Department of Population Health, New York University Grossman School of Medicine, New York City, New York, USA
| | - Nianjun Liu
- Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, USA
| | - Wendy N Nembhard
- Department of Epidemiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - John S Witte
- Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA
- Department of Biomedical Data Sciences, Stanford University, Stanford, California, USA
| | - Charlotte A Hobbs
- Rady Children's Institute for Genomic Medicine, San Diego, California, USA
| | - Ming Li
- Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, USA
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13
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Grabowska ME, Van Driest SL, Robinson JR, Patrick AE, Guardo C, Gangireddy S, Ong H, Feng Q, Carroll R, Kannankeril PJ, Wei WQ. Developing and Evaluating Pediatric Phecodes (Peds-Phecodes) for High-Throughput Phenotyping Using Electronic Health Records. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.22.23294435. [PMID: 37662278 PMCID: PMC10473796 DOI: 10.1101/2023.08.22.23294435] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Objective Pediatric patients have different diseases and outcomes than adults; however, existing phecodes do not capture the distinctive pediatric spectrum of disease. We aim to develop specialized pediatric phecodes (Peds-Phecodes) to enable efficient, large-scale phenotypic analyses of pediatric patients. Materials and Methods We adopted a hybrid data- and knowledge-driven approach leveraging electronic health records (EHRs) and genetic data from Vanderbilt University Medical Center to modify the most recent version of phecodes to better capture pediatric phenotypes. First, we compared the prevalence of patient diagnoses in pediatric and adult populations to identify disease phenotypes differentially affecting children and adults. We then used clinical domain knowledge to remove phecodes representing phenotypes unlikely to affect pediatric patients and create new phecodes for phenotypes relevant to the pediatric population. We further compared phenome-wide association study (PheWAS) outcomes replicating known pediatric genotype-phenotype associations between Peds-Phecodes and phecodes. Results The Peds-Phecodes aggregate 15,533 ICD-9-CM codes and 82,949 ICD-10-CM codes into 2,051 distinct phecodes. Peds-Phecodes replicated more known pediatric genotype-phenotype associations than phecodes (248 versus 192 out of 687 SNPs, p<0.001). Discussion We introduce Peds-Phecodes, a high-throughput EHR phenotyping tool tailored for use in pediatric populations. We successfully validated the Peds-Phecodes using genetic replication studies. Our findings also reveal the potential use of Peds-Phecodes in detecting novel genotype-phenotype associations for pediatric conditions. We expect that Peds-Phecodes will facilitate large-scale phenomic and genomic analyses in pediatric populations. Conclusion Peds-Phecodes capture higher-quality pediatric phenotypes and deliver superior PheWAS outcomes compared to phecodes.
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Li X, Zhang D, Zhao Y, Kuang L, Huang H, Chen W, Fu X, Wu Y, Li T, Zhang J, Yuan L, Hu H, Liu Y, Hu F, Zhang M, Sun X, Hu D. Correlation of heavy metals' exposure with the prevalence of coronary heart disease among US adults: findings of the US NHANES from 2003 to 2018. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:6745-6759. [PMID: 37378736 DOI: 10.1007/s10653-023-01670-0] [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: 02/11/2023] [Accepted: 06/19/2023] [Indexed: 06/29/2023]
Abstract
We sought to explore the association between heavy metal exposure and coronary heart disease (CHD) based on data from the US National Health and Nutrition Examination Survey (NHANES, 2003-2018). In the analyses, participants were all aged > 20 and had participated in heavy metal sub-tests with valid CHD status. The Mann-Kendall test was employed to assess the trends in heavy metals' exposure and the trends in CHD prevalence over 16 years. Spearman's rank correlation coefficient and a logistics regression (LR) model were used to estimate the association between heavy metals and CHD prevalence. 42,749 participants were included in our analyses, 1802 of whom had a CHD diagnosis. Total arsenic, dimethylarsonic acid, monomethylarsonic acid, barium, cadmium, lead, and antimony in urine, and cadmium, lead, and total mercury in blood all showed a substantial decreasing exposure level tendency over the 16 years (all Pfor trend < 0.05). CHD prevalence varied from 3.53 to 5.23% between 2003 and 2018. The correlation between 15 heavy metals and CHD ranges from - 0.238 to 0.910. There was also a significant positive correlation between total arsenic, monomethylarsonic acid, and thallium in urine and CHD by data release cycles (all P < 0.05). The cesium in urine showed a negative correlation with CHD (P < 0.05). We found that exposure trends of total arsenic, dimethylarsonic acid, monomethylarsonic acid, barium, cadmium, lead, and antimony in urine and blood decreased. CHD prevalence fluctuated, however. Moreover, total arsenic, monomethylarsonic acid, and thallium in urine all showed positive relationships with CHD, while cesium in urine showed a negative relationship with CHD.
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Affiliation(s)
- Xi Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Dongdong Zhang
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Medical School, Shenzhen, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Lei Kuang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China
| | - Hao Huang
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Medical School, Shenzhen, People's Republic of China
| | - Weiling Chen
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China
| | - Xueru Fu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Yuying Wu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Tianze Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Jinli Zhang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Lijun Yuan
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Huifang Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Yu Liu
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Medical School, Shenzhen, People's Republic of China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China
| | - Xizhuo Sun
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Medical School, Shenzhen, People's Republic of China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China.
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15
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Kukshal P, Joshi RO, Kumar A, Ahamad S, Murthy PR, Sathe Y, Manohar K, Guhathakurta S, Chellappan S. Case-control association study of congenital heart disease from a tertiary paediatric cardiac centre from North India. BMC Pediatr 2023; 23:290. [PMID: 37322441 PMCID: PMC10268439 DOI: 10.1186/s12887-023-04095-x] [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: 12/01/2022] [Accepted: 05/27/2023] [Indexed: 06/17/2023] Open
Abstract
BACKGROUND Congenital Heart diseases (CHDs) account for 1/3rd of all congenital birth defects. Etiopathogenesis of CHDs remain elusive despite extensive investigations globally. Phenotypic heterogeneity witnessed in this developmental disorder reiterate gene-environment interactions with periconceptional factors as risk conferring; and genetic analysis of both sporadic and familial forms of CHD suggest its multigenic basis. Significant association of de novo and inherited variants have been observed. Approximately 1/5th of CHDs are documented in the ethnically distinct Indian population but genetic insights have been very limited. This pilot case-control based association study was undertaken to investigate the status of Caucasian SNPs in a north Indian cohort. METHOD A total of 306 CHD cases sub-classified into n = 198 acyanotic and n = 108 cyanotic types were recruited from a dedicated tertiary paediatric cardiac centre in Palwal, Haryana. 23 SNPs primarily prioritized from Genome-wide association studies (GWAS) on Caucasians were genotyped using Agena MassARRAY Technology and test of association was performed with adequately numbered controls. RESULTS Fifty percent of the studied SNPs were substantially associated in either allelic, genotypic or sub-phenotype categories validating their strong correlation with disease manifestation. Of note, strongest allelic association was observed for rs73118372 in CRELD1 (p < 0.0001) on Chr3, rs28711516 in MYH6 (p = 0.00083) and rs735712 in MYH7 (p = 0.0009) both on Chr 14 and were also significantly associated with acyanotic, and cyanotic categories separately. rs28711516 (p = 0.003) and rs735712 (p = 0.002) also showed genotypic association. Strongest association was observed with rs735712(p = 0.003) in VSD and maximum association was observed for ASD sub-phenotypes. CONCLUSIONS Caucasian findings were partly replicated in the north Indian population. The findings suggest the contribution of genetic, environmental and sociodemographic factors, warranting continued investigations in this study population.
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Affiliation(s)
- Prachi Kukshal
- Sri Sathya Sai Sanjeevani Research Foundation, NH-2, Delhi-Mathura Highway, Baghola, Haryana, District Palwal, Pin- 121102, India.
| | - Radha O Joshi
- Present address Sri Sathya Sai Sanjeevani Research Foundation, Kharghar, Navi Mumbai- 410210, Maharashtra, India
| | - Ajay Kumar
- Sri Sathya Sai Sanjeevani Research Foundation, NH-2, Delhi-Mathura Highway, Baghola, Haryana, District Palwal, Pin- 121102, India
| | - Shadab Ahamad
- Sri Sathya Sai Sanjeevani Research Foundation, NH-2, Delhi-Mathura Highway, Baghola, Haryana, District Palwal, Pin- 121102, India
| | - Prabhatha Rashmi Murthy
- Sri Sathya Sai Sanjeevani Centre for Child Heart Care and Training in Paediatric Cardiac Skills, Navi Mumbai Maharashtra, India
| | - Yogesh Sathe
- Sri Sathya Sai Sanjeevani International Centre for Child Heart Care & Research, NH-2, Delhi-Mathura Highway, Baghola, District Palwal, Haryana, Pin 121102, India
| | - Krishna Manohar
- Sri Sathya Sai Sanjeevani International Centre for Child Heart Care & Research, NH-2, Delhi-Mathura Highway, Baghola, District Palwal, Haryana, Pin 121102, India
| | - Soma Guhathakurta
- Sri Sathya Sai Sanjeevani Research Foundation, NH-2, Delhi-Mathura Highway, Baghola, Haryana, District Palwal, Pin- 121102, India
| | - Subramanian Chellappan
- Sri Sathya Sai Sanjeevani International Centre for Child Heart Care & Research, NH-2, Delhi-Mathura Highway, Baghola, District Palwal, Haryana, Pin 121102, India.
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16
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Gehlen J, Stundl A, Debiec R, Fontana F, Krane M, Sharipova D, Nelson CP, Al-Kassou B, Giel AS, Sinning JM, Bruenger CMH, Zelck CF, Koebbe LL, Braund PS, Webb TR, Hetherington S, Ensminger S, Fujita B, Mohamed SA, Shrestha M, Krueger H, Siepe M, Kari FA, Nordbeck P, Buravezky L, Kelm M, Veulemans V, Adam M, Baldus S, Laugwitz KL, Haas Y, Karck M, Mehlhorn U, Conzelmann LO, Breitenbach I, Lebherz C, Urbanski P, Kim WK, Kandels J, Ellinghaus D, Nowak-Goettl U, Hoffmann P, Wirth F, Doppler S, Lahm H, Dreßen M, von Scheidt M, Knoll K, Kessler T, Hengstenberg C, Schunkert H, Nickenig G, Nöthen MM, Bolger AP, Abdelilah-Seyfried S, Samani NJ, Erdmann J, Trenkwalder T, Schumacher J. Elucidation of the genetic causes of bicuspid aortic valve disease. Cardiovasc Res 2023; 119:857-866. [PMID: 35727948 PMCID: PMC10153415 DOI: 10.1093/cvr/cvac099] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 05/21/2022] [Accepted: 05/25/2022] [Indexed: 11/13/2022] Open
Abstract
AIMS The present study aims to characterize the genetic risk architecture of bicuspid aortic valve (BAV) disease, the most common congenital heart defect. METHODS AND RESULTS We carried out a genome-wide association study (GWAS) including 2236 BAV patients and 11 604 controls. This led to the identification of a new risk locus for BAV on chromosome 3q29. The single nucleotide polymorphism rs2550262 was genome-wide significant BAV associated (P = 3.49 × 10-08) and was replicated in an independent case-control sample. The risk locus encodes a deleterious missense variant in MUC4 (p.Ala4821Ser), a gene that is involved in epithelial-to-mesenchymal transformation. Mechanistical studies in zebrafish revealed that loss of Muc4 led to a delay in cardiac valvular development suggesting that loss of MUC4 may also play a role in aortic valve malformation. The GWAS also confirmed previously reported BAV risk loci at PALMD (P = 3.97 × 10-16), GATA4 (P = 1.61 × 10-09), and TEX41 (P = 7.68 × 10-04). In addition, the genetic BAV architecture was examined beyond the single-marker level revealing that a substantial fraction of BAV heritability is polygenic and ∼20% of the observed heritability can be explained by our GWAS data. Furthermore, we used the largest human single-cell atlas for foetal gene expression and show that the transcriptome profile in endothelial cells is a major source contributing to BAV pathology. CONCLUSION Our study provides a deeper understanding of the genetic risk architecture of BAV formation on the single marker and polygenic level.
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Affiliation(s)
- Jan Gehlen
- Institute of Human Genetics, University of Bonn and University Hospital Bonn, Bonn, Germany
- Institute of Human Genetics, Philipps University of Marburg, Marburg, Germany
| | - Anja Stundl
- Department of Medicine II, Heart Center Bonn, University of Bonn and University Hospital Bonn, Bonn, Germany
- Klinik und Poliklinik für Innere Medizin I, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Radoslaw Debiec
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- East Midlands Congenital Heart Centre, Glenfield Hospital, Leicester, UK
| | - Federica Fontana
- Institute of Biochemistry and Biology, Potsdam University, Potsdam, Germany
| | - Markus Krane
- DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
- Division of Experimental Surgery, Department of Cardiovascular Surgery, Institute Insure, German Heart Center Munich, TUM School of Medicine, Technical University of Munich, Munich, Germany
- Division of Cardiac Surgery, Department of Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Dinara Sharipova
- Institute of Biochemistry and Biology, Potsdam University, Potsdam, Germany
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Baravan Al-Kassou
- Department of Medicine II, Heart Center Bonn, University of Bonn and University Hospital Bonn, Bonn, Germany
| | - Ann-Sophie Giel
- Institute of Human Genetics, Philipps University of Marburg, Marburg, Germany
| | - Jan-Malte Sinning
- Department of Medicine II, Heart Center Bonn, University of Bonn and University Hospital Bonn, Bonn, Germany
| | | | - Carolin F Zelck
- Institute of Human Genetics, Philipps University of Marburg, Marburg, Germany
| | - Laura L Koebbe
- Institute of Human Genetics, Philipps University of Marburg, Marburg, Germany
| | - Peter S Braund
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Thomas R Webb
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | | | - Stephan Ensminger
- Department of Cardiac and Thoracic Vascular Surgery, University Heart Center Lübeck, University Hospital of Schleswig-Holstein, Lübeck, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Buntaro Fujita
- Department of Cardiac and Thoracic Vascular Surgery, University Heart Center Lübeck, University Hospital of Schleswig-Holstein, Lübeck, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Salah A Mohamed
- Department of Cardiac and Thoracic Vascular Surgery, University Heart Center Lübeck, University Hospital of Schleswig-Holstein, Lübeck, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Malakh Shrestha
- Department of Adult and Pediatric Cardiothoracic Surgery, Vascular Surgery, Heart and Lung Transplantation, Hannover Medical School, Hannover, Germany
| | - Heike Krueger
- Department of Adult and Pediatric Cardiothoracic Surgery, Vascular Surgery, Heart and Lung Transplantation, Hannover Medical School, Hannover, Germany
| | - Matthias Siepe
- Heart Center Freiburg/Bad Krozingen, University Freiburg/Bad Krozingen, Freiburg, Germany
| | - Fabian Alexander Kari
- Heart Center Freiburg/Bad Krozingen, University Freiburg/Bad Krozingen, Freiburg, Germany
| | - Peter Nordbeck
- Medizinische Klinik und Poliklinik I, University Hospital Würzburg, Würzburg, Germany
| | - Larissa Buravezky
- Medizinische Klinik und Poliklinik I, University Hospital Würzburg, Würzburg, Germany
| | - Malte Kelm
- Department of Cardiology, Pneumology and Angiology, University Hospital Duesseldorf, Duesseldorf, Germany
| | - Verena Veulemans
- Department of Cardiology, Pneumology and Angiology, University Hospital Duesseldorf, Duesseldorf, Germany
| | - Matti Adam
- Department of Medicine III, Heart Center Cologne, University Hospital Cologne, Cologne, Germany
| | - Stephan Baldus
- Department of Medicine III, Heart Center Cologne, University Hospital Cologne, Cologne, Germany
| | - Karl-Ludwig Laugwitz
- Klinik und Poliklinik für Innere Medizin I, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Yannick Haas
- Klinik und Poliklinik für Innere Medizin I, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Matthias Karck
- Department of Cardiothoracic Surgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Uwe Mehlhorn
- Department of Cardiothoracic Surgery, Helios Klinik Karlsruhe, Karlsruhe, Germany
| | | | - Ingo Breitenbach
- Department of Cardiothoracic Surgery and Vascular Surgery, Clinic of Braunschweig, Braunschweig, Germany
| | - Corinna Lebherz
- Department of Medicine I, Cardiology/Angiology/Intensive Care, University Hospital Aachen, Aachen, Germany
| | - Paul Urbanski
- Department of Cardiovascular Surgery, Cardiovascular Clinic, Rhön-Klinikum Campus Bad Neustadt, Neustadt, Germany
| | - Won-Keun Kim
- Department of Cardiology, Heart Center, Kerckhoff Clinic, Bad Nauheim, Germany
| | - Joscha Kandels
- Department of Cardiology, University Hospital Leipzig, Leipzig, Germany
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
- Novo Nordisk Foundation Center for Protein Research, Disease Systems Biology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ulrike Nowak-Goettl
- Department of Clinical Chemistry, Thrombosis and Hemostasis Unit, University Hospital of Kiel and Lübeck, Kiel, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn and University Hospital Bonn, Bonn, Germany
| | - Felix Wirth
- Division of Experimental Surgery, Department of Cardiovascular Surgery, Institute Insure, German Heart Center Munich, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Stefanie Doppler
- Division of Experimental Surgery, Department of Cardiovascular Surgery, Institute Insure, German Heart Center Munich, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Harald Lahm
- Division of Experimental Surgery, Department of Cardiovascular Surgery, Institute Insure, German Heart Center Munich, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Martina Dreßen
- Division of Experimental Surgery, Department of Cardiovascular Surgery, Institute Insure, German Heart Center Munich, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Moritz von Scheidt
- DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
- Department of Cardiology, German Heart Centre Munich, Technical University of Munich, Munich, Germany
| | - Katharina Knoll
- DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
- Department of Cardiology, German Heart Centre Munich, Technical University of Munich, Munich, Germany
| | - Thorsten Kessler
- DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
- Department of Cardiology, German Heart Centre Munich, Technical University of Munich, Munich, Germany
| | - Christian Hengstenberg
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria
| | - Heribert Schunkert
- DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
- Department of Cardiology, German Heart Centre Munich, Technical University of Munich, Munich, Germany
| | - Georg Nickenig
- Department of Medicine II, Heart Center Bonn, University of Bonn and University Hospital Bonn, Bonn, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn and University Hospital Bonn, Bonn, Germany
| | - Aidan P Bolger
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- East Midlands Congenital Heart Centre, Glenfield Hospital, Leicester, UK
- Institute of Biochemistry and Biology, Potsdam University, Potsdam, Germany
| | - Salim Abdelilah-Seyfried
- Institute of Biochemistry and Biology, Potsdam University, Potsdam, Germany
- Institute of Molecular Biology, Hannover Medical School, Hannover, Germany
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Jeanette Erdmann
- DZHK (German Centre for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
- Institute for Cardiogenetics, University Heart Centre Lübeck, University of Lübeck, Lübeck, Germany
| | - Teresa Trenkwalder
- DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
- Department of Cardiology, German Heart Centre Munich, Technical University of Munich, Munich, Germany
| | - Johannes Schumacher
- Institute of Human Genetics, University of Bonn and University Hospital Bonn, Bonn, Germany
- Institute of Human Genetics, Philipps University of Marburg, Marburg, Germany
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17
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Osman W, Mousa M, Albreiki M, Baalfaqih Z, Daggag H, Hill C, McKnight AJ, Maxwell AP, Al Safar H. A genome-wide association study identifies a possible role for cannabinoid signalling in the pathogenesis of diabetic kidney disease. Sci Rep 2023; 13:4661. [PMID: 36949158 PMCID: PMC10033677 DOI: 10.1038/s41598-023-31701-w] [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: 01/11/2023] [Accepted: 03/16/2023] [Indexed: 03/24/2023] Open
Abstract
Diabetic kidney disease (DKD), also known as diabetic nephropathy, is the leading cause of renal impairment and end-stage renal disease. Patients with diabetes are at risk for DKD because of poor control of their blood glucose, as well as nonmodifiable risk factors including age, ethnicity, and genetics. This genome-wide association study (GWAS) was conducted for the first time in the Emirati population to investigate possible genetic factors associated with the development and progression of DKD. We included data on 7,921,925 single nucleotide polymorphism (SNPs) in 258 cases of type 2 diabetes mellitus (T2DM) who developed DKD and 938 control subjects with T2DM who did not develop DKD. GWAS suggestive results (P < 1 × 10-5) were further replicated using summary statistics from three cohorts with T2DM-induced DKD (Bio Bank Japan data, UK Biobank, and FinnGen Project data) and T1DM-induced DKD (UK-ROI cohort data from Belfast, UK). When conducting a multiple linear regression model for gene-set analyses, the CNR2 gene demonstrated genome-wide significance at 1.46 × 10-6. SNPs in CNR2 gene, encodes cannabinoid receptor 2 or CB2, were replicated in Japanese samples with the leading SNP rs2501391 showing a Pcombined = 9.3 × 10-7, and odds ratio = 0.67 in association with DKD associated with T2DM, but not with T1DM, without any significant association with T2DM itself. The allele frequencies of our cohort and those of the replication cohorts were in most cases markedly different. In addition, we replicated the association between rs1564939 in the GLRA3 gene and DKD in T2DM (P = 0.016, odds ratio = 0.54 per allele C). Our findings suggest evidence that cannabinoid signalling may be involved in the development of DKD through CB2, which is expressed in different kidney regions and known to be involved in insulin resistance, inflammation, and the development of kidney fibrosis.
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Affiliation(s)
- Wael Osman
- Center for Biotechnology, Khalifa University, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Biology, College of Arts and Sciences, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Mira Mousa
- Center for Biotechnology, Khalifa University, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Mohammed Albreiki
- Center for Biotechnology, Khalifa University, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Zahrah Baalfaqih
- Center for Biotechnology, Khalifa University, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Hinda Daggag
- Imperial College of London Diabetes Centre, Abu Dhabi, United Arab Emirates
| | - Claire Hill
- Centre for Public Health, Queen's University of Belfast, Belfast, UK
| | | | | | - Habiba Al Safar
- Center for Biotechnology, Khalifa University, PO Box 127788, Abu Dhabi, United Arab Emirates.
- Department of Biomedical Engineering, College of Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.
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18
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1372] [Impact Index Per Article: 1372.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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19
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Inácio JM, Nunes MM, Almeida M, Cristo F, Anjos R, Belo JA. Gene-Edited Human-Induced Pluripotent Stem Cell Lines to Elucidate DAND5 Function throughout Cardiac Differentiation. Cells 2023; 12:520. [PMID: 36831187 PMCID: PMC9954670 DOI: 10.3390/cells12040520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 02/09/2023] Open
Abstract
(1) Background: The contribution of gene-specific variants for congenital heart disease, one of the most common congenital disabilities, is still far from our complete understanding. Here, we applied a disease model using human-induced pluripotent stem cells (hiPSCs) to evaluate the function of DAND5 on human cardiomyocyte (CM) differentiation and proliferation. (2) Methods: Taking advantage of our DAND5 patient-derived iPSC line, we used CRISPR-Cas9 gene-editing to generate a set of isogenic hiPSCs (DAND5-corrected and DAND5 full-mutant). The hiPSCs were differentiated into CMs, and RT-qPCR and immunofluorescence profiled the expression of cardiac markers. Cardiomyocyte proliferation was analysed by flow cytometry. Furthermore, we used a multi-electrode array (MEA) to study the functional electrophysiology of DAND5 hiPSC-CMs. (3) Results: The results indicated that hiPSC-CM proliferation is affected by DAND5 levels. Cardiomyocytes derived from a DAND5 full-mutant hiPSC line are more proliferative when compared with gene-corrected hiPSC-CMs. Moreover, parallel cardiac differentiations showed a differential cardiac gene expression profile, with upregulated cardiac progenitor markers in DAND5-KO hiPSC-CMs. Microelectrode array (MEA) measurements demonstrated that DAND5-KO hiPSC-CMs showed prolonged field potential duration and increased spontaneous beating rates. In addition, conduction velocity is reduced in the monolayers of hiPSC-CMs with full-mutant genotype. (4) Conclusions: The absence of DAND5 sustains the proliferation of hiPSC-CMs, which alters their electrophysiological maturation properties. These results using DAND5 hiPSC-CMs consolidate the findings of the in vitro and in vivo mouse models, now in a translational perspective. Altogether, the data will help elucidate the molecular mechanism underlying this human heart disease and potentiates new therapies for treating adult CHD.
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Affiliation(s)
- José M. Inácio
- Stem Cells and Development Laboratory, iNOVA4Health, NOVA Medical School/Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1150-082 Lisboa, Portugal
| | - Mafalda M. Nunes
- Stem Cells and Development Laboratory, iNOVA4Health, NOVA Medical School/Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1150-082 Lisboa, Portugal
| | - Micael Almeida
- Stem Cells and Development Laboratory, iNOVA4Health, NOVA Medical School/Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1150-082 Lisboa, Portugal
| | - Fernando Cristo
- Stem Cells and Development Laboratory, iNOVA4Health, NOVA Medical School/Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1150-082 Lisboa, Portugal
| | - Rui Anjos
- Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, 1449-005 Lisboa, Portugal
| | - José A. Belo
- Stem Cells and Development Laboratory, iNOVA4Health, NOVA Medical School/Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1150-082 Lisboa, Portugal
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20
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Taylor K, Wootton RE, Yang Q, Oddie S, Wright J, Yang TC, Magnus M, Andreassen OA, Borges MC, Caputo M, Lawlor DA. The effect of maternal BMI, smoking and alcohol on congenital heart diseases: a Mendelian randomisation study. BMC Med 2023; 21:35. [PMID: 36721200 PMCID: PMC9890815 DOI: 10.1186/s12916-023-02731-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 01/10/2023] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Congenital heart diseases (CHDs) remain a significant cause of infant morbidity and mortality. Epidemiological studies have explored maternal risk factors for offspring CHDs, but few have used genetic epidemiology methods to improve causal inference. METHODS Three birth cohorts, including 65,510 mother/offspring pairs (N = 562 CHD cases) were included. We used Mendelian randomisation (MR) analyses to explore the effects of genetically predicted maternal body mass index (BMI), smoking and alcohol on offspring CHDs. We generated genetic risk scores (GRS) using summary data from large-scale genome-wide association studies (GWAS) and validated the strength and relevance of the genetic instrument for exposure levels during pregnancy. Logistic regression was used to estimate the odds ratio (OR) of CHD per 1 standard deviation (SD) higher GRS. Results for the three cohorts were combined using random-effects meta-analyses. We performed several sensitivity analyses including multivariable MR to check the robustness of our findings. RESULTS The GRSs associated with the exposures during pregnancy in all three cohorts. The associations of the GRS for maternal BMI with offspring CHD (pooled OR (95% confidence interval) per 1SD higher GRS: 0.95 (0.88, 1.03)), lifetime smoking (pooled OR: 1.01 (0.93, 1.09)) and alcoholic drinks per week (pooled OR: 1.06 (0.98, 1.15)) were close to the null. Sensitivity analyses yielded similar results. CONCLUSIONS Our results do not provide robust evidence of an effect of maternal BMI, smoking or alcohol on offspring CHDs. However, results were imprecise. Our findings need to be replicated, and highlight the need for more and larger studies with maternal and offspring genotype and offspring CHD data.
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Affiliation(s)
- Kurt Taylor
- Bristol Medical School, Population Health Science, Bristol, BS8 2BN, UK.
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK.
| | - Robyn E Wootton
- Bristol Medical School, Population Health Science, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Qian Yang
- Bristol Medical School, Population Health Science, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK
| | - Sam Oddie
- University of York, Heslington, York, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Tiffany C Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Maria Magnus
- Bristol Medical School, Population Health Science, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ole A Andreassen
- Division of Mental Health and Addiction, NORMENT Centre, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, Oslo University Hospital and Institute of Clinical Medicine, Oslo, Norway
| | - Maria Carolina Borges
- Bristol Medical School, Population Health Science, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK
| | - Massimo Caputo
- Bristol Medical School, Translational Science, Bristol, UK
| | - Deborah A Lawlor
- Bristol Medical School, Population Health Science, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK
- Bristol Medical School, Translational Science, Bristol, UK
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21
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Wang YJ, Zhang X, Lam CK, Guo H, Wang C, Zhang S, Wu JC, Snyder M, Li J. Systems analysis of de novo mutations in congenital heart diseases identified a protein network in the hypoplastic left heart syndrome. Cell Syst 2022; 13:895-910.e4. [PMID: 36167075 PMCID: PMC9671831 DOI: 10.1016/j.cels.2022.09.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 05/14/2022] [Accepted: 09/02/2022] [Indexed: 01/26/2023]
Abstract
Despite a strong genetic component, only a few genes have been identified in congenital heart diseases (CHDs). We introduced systems analyses to uncover the hidden organization on biological networks of mutations in CHDs and leveraged network analysis to integrate the protein interactome, patient exomes, and single-cell transcriptomes of the developing heart. We identified a CHD network regulating heart development and observed that a sub-network also regulates fetal brain development, thereby providing mechanistic insights into the clinical comorbidities between CHDs and neurodevelopmental conditions. At a small scale, we experimentally verified uncharacterized cardiac functions of several proteins. At a global scale, our study revealed developmental dynamics of the network and observed its association with the hypoplastic left heart syndrome (HLHS), which was further supported by the dysregulation of the network in HLHS endothelial cells. Overall, our work identified previously uncharacterized CHD factors and provided a generalizable framework applicable to studying many other complex diseases. A record of this paper's Transparent Peer Review process is included in the supplemental information.
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Affiliation(s)
- Yuejun Jessie Wang
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, the Bakar Computational Health Sciences Institute, the Parker Institute for Cancer Immunotherapy, and the Department of Neurology, School of Medicine, University of California, San Francisco, 35 Medical Center Way, San Francisco, CA 94143, USA
| | - Xicheng Zhang
- Department of Genetics and the Center for Genomics and Personalized Medicine, School of Medicine, Stanford University, 291 Campus Dr., Stanford, CA 94305, USA
| | - Chi Keung Lam
- Stanford Cardiovascular Institute, School of Medicine, Stanford University, 265 Campus Dr., Stanford, CA 94305, USA; Department of Medicine, Division of Cardiology, School of Medicine, Stanford University, 265 Campus Dr., Stanford, CA 94305, USA; Department of Biological Sciences, University of Delaware, Newark, DE 19716, USA
| | - Hongchao Guo
- Stanford Cardiovascular Institute, School of Medicine, Stanford University, 265 Campus Dr., Stanford, CA 94305, USA; Department of Medicine, Division of Cardiology, School of Medicine, Stanford University, 265 Campus Dr., Stanford, CA 94305, USA
| | - Cheng Wang
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, the Bakar Computational Health Sciences Institute, the Parker Institute for Cancer Immunotherapy, and the Department of Neurology, School of Medicine, University of California, San Francisco, 35 Medical Center Way, San Francisco, CA 94143, USA
| | - Sai Zhang
- Department of Genetics and the Center for Genomics and Personalized Medicine, School of Medicine, Stanford University, 291 Campus Dr., Stanford, CA 94305, USA
| | - Joseph C Wu
- Stanford Cardiovascular Institute, School of Medicine, Stanford University, 265 Campus Dr., Stanford, CA 94305, USA; Department of Medicine, Division of Cardiology, School of Medicine, Stanford University, 265 Campus Dr., Stanford, CA 94305, USA; Department of Radiology, Stanford University School of Medicine, Stanford University, 265 Campus Dr., Stanford, CA 94305, USA
| | - Michael Snyder
- Department of Genetics and the Center for Genomics and Personalized Medicine, School of Medicine, Stanford University, 291 Campus Dr., Stanford, CA 94305, USA; Stanford Cardiovascular Institute, School of Medicine, Stanford University, 265 Campus Dr., Stanford, CA 94305, USA.
| | - Jingjing Li
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, the Bakar Computational Health Sciences Institute, the Parker Institute for Cancer Immunotherapy, and the Department of Neurology, School of Medicine, University of California, San Francisco, 35 Medical Center Way, San Francisco, CA 94143, USA.
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22
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Copy number variant analysis for syndromic congenital heart disease in the Chinese population. Hum Genomics 2022; 16:51. [PMID: 36316717 PMCID: PMC9623925 DOI: 10.1186/s40246-022-00426-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 10/19/2022] [Indexed: 11/04/2022] Open
Abstract
Background Syndromic congenital heart disease (CHD) is among the most severe conditions in the pediatric population. Copy number variant (CNV) is an important cause of syndromic CHD, but few studies focused on CNVs related to these patients in China. The present study aimed to identify pathogenic CNVs associated with syndromic CHD in the Chinese population. Methods A total of 109 sporadic patients with syndromic CHD were applied chromosomal microarray analysis (CMA). Phenotype spectrum of pathogenic or likely pathogenic CNVs was analyzed. CHD-related genes were prioritized from genes within pathogenic or likely pathogenic CNVs by VarElect, OVA, AMELIE, and ToppGene. Results Using CMA, we identified 43 candidate CNVs in 37/109 patients. After filtering CNVs present in the general population, 29 pathogenic/likely pathogenic CNVs in 24 patients were identified. The diagnostic yield of CMA for pathogenic/likely pathogenic CNVs was 23.1% (24/104), excluding 5 cases with aneuploidies or gross chromosomal aberrations. The overlapping analysis of CHD-related gene lists from different prioritization tools highlighted 16 CHD candidate genes. Conclusion As the first study focused on CNVs in syndromic CHD from the Chinese population, this study reveals the importance of CMA in exploring the genetic etiology of syndromic CHD and expands our understanding of these complex diseases. The bioinformatic analysis of candidate genes suggests several CHD-related genes for further functional research. Supplementary Information The online version contains supplementary material available at 10.1186/s40246-022-00426-8.
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23
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Zhong G, Shen Y. Statistical models of the genetic etiology of congenital heart disease. Curr Opin Genet Dev 2022; 76:101967. [PMID: 35939966 PMCID: PMC10586490 DOI: 10.1016/j.gde.2022.101967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 06/29/2022] [Accepted: 07/08/2022] [Indexed: 11/03/2022]
Abstract
Congenital heart disease (CHD) is a collection of anatomically and clinically heterogeneous structure anomalies of heart at birth. Finding genetic causes of CHD can not only shed light on developmental biology of heart, but also provide basis for improving clinical care and interventions. The optimal study design and analytical approaches to identify genetic causes depend on the underlying genetic architecture. A few well-known syndromes with CHD as core conditions, such as Noonan and CHARGE, have known monogenic causes. The genetic causes of most of CHD patients, however, are unknown and likely to be complex. In this review, we highlight recent studies that assume a complex genetic architecture of CHD with two main approaches. One is genomic sequencing studies aiming for identifying rare or de novo risk variants with large genetic effect. The other is genome-wide association studies optimized for common variants with moderate genetic effect.
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Affiliation(s)
- Guojie Zhong
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA; Integrated Program in Cellular, Molecular, and Biological Studies, Columbia University Irving Medical Center, New York, NY, USA
| | - Yufeng Shen
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA; JP Sulzberger Columbia Genome Center, Columbia University Irving Medical Center, New York, NY, USA.
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24
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Destici E, Zhu F, Tran S, Preissl S, Farah EN, Zhang Y, Hou X, Poirion OB, Lee AY, Grinstein JD, Bloomekatz J, Kim HS, Hu R, Evans SM, Ren B, Benner C, Chi NC. Human-gained heart enhancers are associated with species-specific cardiac attributes. NATURE CARDIOVASCULAR RESEARCH 2022; 1:830-843. [PMID: 36817700 PMCID: PMC9937543 DOI: 10.1038/s44161-022-00124-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 07/26/2022] [Indexed: 11/09/2022]
Abstract
The heart, a vital organ which is first to develop, has adapted its size, structure and function in order to accommodate the circulatory demands for a broad range of animals. Although heart development is controlled by a relatively conserved network of transcriptional/chromatin regulators, how the human heart has evolved species-specific features to maintain adequate cardiac output and function remains to be defined. Here, we show through comparative epigenomic analysis the identification of enhancers and promoters that have gained activity in humans during cardiogenesis. These cis-regulatory elements (CREs) are associated with genes involved in heart development and function, and may account for species-specific differences between human and mouse hearts. Supporting these findings, genetic variants that are associated with human cardiac phenotypic/disease traits, particularly those differing between human and mouse, are enriched in human-gained CREs. During early stages of human cardiogenesis, these CREs are also gained within genomic loci of transcriptional regulators, potentially expanding their role in human heart development. In particular, we discovered that gained enhancers in the locus of the early human developmental regulator ZIC3 are selectively accessible within a subpopulation of mesoderm cells which exhibits cardiogenic potential, thus possibly extending the function of ZIC3 beyond its conserved left-right asymmetry role. Genetic deletion of these enhancers identified a human gained enhancer that was required for not only ZIC3 and early cardiac gene expression at the mesoderm stage but also cardiomyocyte differentiation. Overall, our results illuminate how human gained CREs may contribute to human-specific cardiac attributes, and provide insight into how transcriptional regulators may gain cardiac developmental roles through the evolutionary acquisition of enhancers.
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Affiliation(s)
- Eugin Destici
- Department of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Fugui Zhu
- Department of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Shaina Tran
- Department of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Sebastian Preissl
- Ludwig Institute for Cancer Research, La Jolla, CA, 92093, USA
- Center for Epigenomics, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Elie N. Farah
- Department of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Yanxiao Zhang
- Ludwig Institute for Cancer Research, La Jolla, CA, 92093, USA
| | - Xiameng Hou
- Center for Epigenomics, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Olivier B. Poirion
- Center for Epigenomics, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Ah Young Lee
- Ludwig Institute for Cancer Research, La Jolla, CA, 92093, USA
| | - Jonathan D. Grinstein
- Department of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
| | | | - Hong Sook Kim
- Department of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Robert Hu
- Department of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Sylvia M. Evans
- Department of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
- Department of Pharmacology, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Bing Ren
- Ludwig Institute for Cancer Research, La Jolla, CA, 92093, USA
- Center for Epigenomics, University of California, San Diego, La Jolla, CA, 92093, USA
- Institute of Genomic Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
- Moores Cancer Center, School of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Chris Benner
- Department of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Neil C. Chi
- Department of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
- Institute of Genomic Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
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25
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Methyltransferase Setdb1 Promotes Osteoblast Proliferation by Epigenetically Silencing Macrod2 with the Assistance of Atf7ip. Cells 2022; 11:cells11162580. [PMID: 36010655 PMCID: PMC9406310 DOI: 10.3390/cells11162580] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 07/31/2022] [Accepted: 08/09/2022] [Indexed: 12/03/2022] Open
Abstract
Bone loss caused by mechanical unloading is a threat to prolonged space flight and human health. Epigenetic modifications play a crucial role in varied biological processes, but the mechanism of histone modification on unloading-induced bone loss has rarely been studied. Here, we discovered for the first time that the methyltransferase Setdb1 was downregulated under the mechanical unloading both in vitro and in vivo so as to attenuate osteoblast proliferation. Furthermore, we found these interesting processes depended on the repression of Macrod2 expression triggered by Setdb1 catalyzing the formation of H3K9me3 in the promoter region. Mechanically, we revealed that Macrod2 was upregulated under mechanical unloading and suppressed osteoblast proliferation through the GSK-3β/β-catenin signaling pathway. Moreover, Atf7ip cooperatively contributed to osteoblast proliferation by changing the localization of Setdb1 under mechanical loading. In summary, this research elucidated the role of the Atf7ip/Setdb1/Macrod2 axis in osteoblast proliferation under mechanical unloading for the first time, which can be a potential protective strategy against unloading-induced bone loss.
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26
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Aung N, Vargas JD, Yang C, Fung K, Sanghvi MM, Piechnik SK, Neubauer S, Manichaikul A, Rotter JI, Taylor KD, Lima JAC, Bluemke DA, Kawut SM, Petersen SE, Munroe PB. Genome-wide association analysis reveals insights into the genetic architecture of right ventricular structure and function. Nat Genet 2022; 54:783-791. [PMID: 35697868 DOI: 10.1038/s41588-022-01083-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 04/22/2022] [Indexed: 01/03/2023]
Abstract
Right ventricular (RV) structure and function influence the morbidity and mortality from coronary artery disease (CAD), dilated cardiomyopathy (DCM), pulmonary hypertension and heart failure. Little is known about the genetic basis of RV measurements. Here we perform genome-wide association analyses of four clinically relevant RV phenotypes (RV end-diastolic volume, RV end-systolic volume, RV stroke volume, RV ejection fraction) from cardiovascular magnetic resonance images, using a state-of-the-art deep learning algorithm in 29,506 UK Biobank participants. We identify 25 unique loci associated with at least one RV phenotype at P < 2.27 ×10-8, 17 of which are validated in a combined meta-analysis (n = 41,830). Several candidate genes overlap with Mendelian cardiomyopathy genes and are involved in cardiac muscle contraction and cellular adhesion. The RV polygenic risk scores (PRSs) are associated with DCM and CAD. The findings substantially advance our understanding of the genetic underpinning of RV measurements.
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Affiliation(s)
- Nay Aung
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.,National Institute for Health Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Jose D Vargas
- Veterans Affairs Medical Center, Washington, DC, USA.,Georgetown University, Washington, DC, USA
| | - Chaojie Yang
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Kenneth Fung
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.,National Institute for Health Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Mihir M Sanghvi
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.,National Institute for Health Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, 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
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Joao A C Lima
- Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
| | - David A Bluemke
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - Steven M Kawut
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Steffen E Petersen
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK. .,National Institute for Health Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, UK. .,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK.
| | - Patricia B Munroe
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK. .,National Institute for Health Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, UK.
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27
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Liu Z, Chen X. Whole-exome sequencing establishes a diagnosis of Alstrom syndrome: a case report. Transl Pediatr 2022; 11:589-594. [PMID: 35558979 PMCID: PMC9085958 DOI: 10.21037/tp-21-623] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 03/14/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Alstrom syndrome (ALMS) is a rare genetic disorder. ALMS is characterized by progressive bilateral sensorineural hearing impairment, cone-rod dystrophy, infantile-onset cardiomyopathy, hypertriglyceridemia, accelerated non-alcoholic fatty liver disease, renal dysfunction and insulin-resistant diabetes mellitus (DM). DM typically develop in childhood or adolescence. Dilated cardiomyopathy may arise in infancy. Clinical symptoms appear with great variability and severity. Several cases have been reported worldwide; however, diagnosis remains challenging. CASE DESCRIPTION We report an 8-year-and-11-month-old female diagnosed with ALMS who had a long history of obesity and amblyopia from infancy. We found high levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in this patient. She showed no hearing disfunction. Recently, she presented with sudden-onset insulin-resistant DM. Genetic analysis revealed the heterozygous mutations c.8366delT, p.L2789* and c.6829C>T, p.R2277*. c.8366delT, which results in premature protein termination, has not been reported previously in ALMS1. Although the patient's two sisters died of acute heart failure following infection at 4 and 14 months respectively, she showed no signs of cardiomyopathy until now. CONCLUSIONS This case provides an unusual cause of genetic syndrome associated with diabetes. A detailed medical history, physical examination and appropriate gene analysis are critical for diagnosis. Our case identifies a novel ALMS1 mutation and reaffirms the great clinical variation of this disease even within families.
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Affiliation(s)
- Ziqin Liu
- Department of Endocrinology, Children's Hospital Capital Institute of Pediatrics, Beijing, China
| | - Xiaobo Chen
- Department of Endocrinology, Children's Hospital Capital Institute of Pediatrics, Beijing, China
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28
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Yu M, Tcheandjieu C, Georges A, Xiao K, Tejeda H, Dina C, Le Tourneau T, Fiterau M, Judy R, Tsao NL, Amgalan D, Munger CJ, Engreitz JM, Damrauer SM, Bouatia-Naji N, Priest JR. Computational estimates of annular diameter reveal genetic determinants of mitral valve function and disease. JCI Insight 2022; 7:146580. [PMID: 35132965 PMCID: PMC8855800 DOI: 10.1172/jci.insight.146580] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 12/21/2021] [Indexed: 11/17/2022] Open
Abstract
The fibrous annulus of the mitral valve plays an important role in valvular function and cardiac physiology, while normal variation in the size of cardiovascular anatomy may share a genetic link with common and rare disease. We derived automated estimates of mitral valve annular diameter in the 4-chamber view from 32,220 MRI images from the UK Biobank at ventricular systole and diastole as the basis for GWAS. Mitral annular dimensions corresponded to previously described anatomical norms, and GWAS inclusive of 4 population strata identified 10 loci, including possibly novel loci (GOSR2, ERBB4, MCTP2, MCPH1) and genes related to cardiac contractility (BAG3, TTN, RBFOX1). ATAC-Seq of primary mitral valve tissue localized multiple variants to regions of open chromatin in biologically relevant cell types and rs17608766 to an algorithmically predicted enhancer element in GOSR2. We observed strong genetic correlation with measures of contractility and mitral valve disease and clinical correlations with heart failure, cerebrovascular disease, and ventricular arrhythmias. Polygenic scoring of mitral valve annular diameter in systole was predictive of risk mitral valve prolapse across 4 cohorts. In summary, genetic and clinical studies of mitral valve annular diameter revealed genetic determinants of mitral valve biology, while highlighting clinical associations. Polygenic determinants of mitral valve annular diameter may represent an independent risk factor for mitral prolapse. Overall, computationally estimated phenotypes derived at scale from medical imaging represent an important substrate for genetic discovery and clinical risk prediction.
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Affiliation(s)
| | - Catherine Tcheandjieu
- Department of Pediatrics and.,Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Adrien Georges
- Paris Cardiovascular Research Center, INSERM, University of Paris, Paris, France
| | - Ke Xiao
- College of Information & Computer Sciences at University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | | | - Christian Dina
- University of Nantes, INSERM, CNRS, CHU Nantes, The Thorax Institute, Nantes, France
| | - Thierry Le Tourneau
- University of Nantes, INSERM, CNRS, CHU Nantes, The Thorax Institute, Nantes, France
| | - Madalina Fiterau
- College of Information & Computer Sciences at University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Renae Judy
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Noah L Tsao
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Dulguun Amgalan
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.,Basic Science & Engineering Initiative & Betty Irene Moore Children's Heart Center, Lucile Packard Children's Hospital, Stanford, California, USA
| | - Chad J Munger
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.,Basic Science & Engineering Initiative & Betty Irene Moore Children's Heart Center, Lucile Packard Children's Hospital, Stanford, California, USA
| | - Jesse M Engreitz
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.,Basic Science & Engineering Initiative & Betty Irene Moore Children's Heart Center, Lucile Packard Children's Hospital, Stanford, California, USA
| | - Scott M Damrauer
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Nabila Bouatia-Naji
- Paris Cardiovascular Research Center, INSERM, University of Paris, Paris, France
| | - James R Priest
- Department of Pediatrics and.,Chan-Zuckerberg Biohub, San Francisco, California, USA
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29
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Kogan PS, Wirth F, Tomar A, Darr J, Teperino R, Lahm H, Dreßen M, Puluca N, Zhang Z, Neb I, Beck N, Luzius T, de la Osa de la Rosa L, Gärtner K, Hüls C, Zeidler R, Ramanujam D, Engelhardt S, Wenk C, Holdt LM, Mononen M, Sahara M, Cleuziou J, Hörer J, Lange R, Krane M, Doppler SA. Uncovering the molecular identity of cardiosphere-derived cells (CDCs) by single-cell RNA sequencing. Basic Res Cardiol 2022; 117:11. [PMID: 35258704 PMCID: PMC8902493 DOI: 10.1007/s00395-022-00913-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 01/11/2022] [Accepted: 01/11/2022] [Indexed: 01/31/2023]
Abstract
Cardiosphere-derived cells (CDCs) generated from human cardiac biopsies have been shown to have disease-modifying bioactivity in clinical trials. Paradoxically, CDCs' cellular origin in the heart remains elusive. We studied the molecular identity of CDCs using single-cell RNA sequencing (sc-RNAseq) in comparison to cardiac non-myocyte and non-hematopoietic cells (cardiac fibroblasts/CFs, smooth muscle cells/SMCs and endothelial cells/ECs). We identified CDCs as a distinct and mitochondria-rich cell type that shared biological similarities with non-myocyte cells but not with cardiac progenitor cells derived from human-induced pluripotent stem cells. CXCL6 emerged as a new specific marker for CDCs. By analysis of sc-RNAseq data from human right atrial biopsies in comparison with CDCs we uncovered transcriptomic similarities between CDCs and CFs. By direct comparison of infant and adult CDC sc-RNAseq data, infant CDCs revealed GO-terms associated with cardiac development. To analyze the beneficial effects of CDCs (pro-angiogenic, anti-fibrotic, anti-apoptotic), we performed functional in vitro assays with CDC-derived extracellular vesicles (EVs). CDC EVs augmented in vitro angiogenesis and did not stimulate scarring. They also reduced the expression of pro-apoptotic Bax in NRCMs. In conclusion, CDCs were disclosed as mitochondria-rich cells with unique properties but also with similarities to right atrial CFs. CDCs displayed highly proliferative, secretory and immunomodulatory properties, characteristics that can also be found in activated or inflammatory cell types. By special culture conditions, CDCs earn some bioactivities, including angiogenic potential, which might modify disease in certain disorders.
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Affiliation(s)
- Palgit-S. Kogan
- School of Medicine and Health, Department of Cardiovascular Surgery, Institute Insure, Technical University of Munich, German Heart Center Munich, Lazarettstrasse 36, 80636 Munich, Germany
| | - Felix Wirth
- School of Medicine and Health, Department of Cardiovascular Surgery, Institute Insure, Technical University of Munich, German Heart Center Munich, Lazarettstrasse 36, 80636 Munich, Germany
| | - Archana Tomar
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany ,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Jonatan Darr
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany ,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Raffaele Teperino
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany ,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Harald Lahm
- School of Medicine and Health, Department of Cardiovascular Surgery, Institute Insure, Technical University of Munich, German Heart Center Munich, Lazarettstrasse 36, 80636 Munich, Germany
| | - Martina Dreßen
- School of Medicine and Health, Department of Cardiovascular Surgery, Institute Insure, Technical University of Munich, German Heart Center Munich, Lazarettstrasse 36, 80636 Munich, Germany
| | - Nazan Puluca
- School of Medicine and Health, Department of Cardiovascular Surgery, Institute Insure, Technical University of Munich, German Heart Center Munich, Lazarettstrasse 36, 80636 Munich, Germany
| | - Zhong Zhang
- School of Medicine and Health, Department of Cardiovascular Surgery, Institute Insure, Technical University of Munich, German Heart Center Munich, Lazarettstrasse 36, 80636 Munich, Germany
| | - Irina Neb
- School of Medicine and Health, Department of Cardiovascular Surgery, Institute Insure, Technical University of Munich, German Heart Center Munich, Lazarettstrasse 36, 80636 Munich, Germany
| | - Nicole Beck
- School of Medicine and Health, Department of Cardiovascular Surgery, Institute Insure, Technical University of Munich, German Heart Center Munich, Lazarettstrasse 36, 80636 Munich, Germany
| | - Tatjana Luzius
- School of Medicine and Health, Department of Cardiovascular Surgery, Institute Insure, Technical University of Munich, German Heart Center Munich, Lazarettstrasse 36, 80636 Munich, Germany
| | - Luis de la Osa de la Rosa
- School of Medicine and Health, Department of Cardiovascular Surgery, Institute Insure, Technical University of Munich, German Heart Center Munich, Lazarettstrasse 36, 80636 Munich, Germany
| | - Kathrin Gärtner
- Research Unit Gene Vectors, Helmholtz Center Munich German Research Center for Environmental Health, Munich, Germany
| | - Corinna Hüls
- Research Unit Gene Vectors, Helmholtz Center Munich German Research Center for Environmental Health, Munich, Germany
| | - Reinhard Zeidler
- Research Unit Gene Vectors, Helmholtz Center Munich German Research Center for Environmental Health, Munich, Germany ,Department of Otorhinolaryngology, Klinikum der Universität (KUM), Munich, Germany
| | - Deepak Ramanujam
- DZHK (German Center for Cardiovascular Research)-Partner Site Munich Heart Alliance, Biedersteiner Straße 29, 80802 Munich, Germany ,Institute of Pharmacology and Toxicology, Technische Universität München, Biedersteiner Str. 29, 80802 Munich, Germany
| | - Stefan Engelhardt
- DZHK (German Center for Cardiovascular Research)-Partner Site Munich Heart Alliance, Biedersteiner Straße 29, 80802 Munich, Germany ,Institute of Pharmacology and Toxicology, Technische Universität München, Biedersteiner Str. 29, 80802 Munich, Germany
| | - Catharina Wenk
- Institute of Laboratory Medicine, University Hospital, Ludwig Maximilians University Munich, Munich, Germany
| | - Lesca M. Holdt
- Institute of Laboratory Medicine, University Hospital, Ludwig Maximilians University Munich, Munich, Germany
| | - Mimmi Mononen
- Department of Cell and Molecular Biology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Makoto Sahara
- Department of Cell and Molecular Biology, Karolinska Institutet, 171 77 Stockholm, Sweden ,Department of Surgery, Yale University School of Medicine, CN06510 New Haven, CT USA
| | - Julie Cleuziou
- School of Medicine and Health, Department of Pediatric and Congenital Heart Surgery, Institute Insure, Technical University of Munich, Lazarettstraße 36, 80636 Munich, Germany
| | - Jürgen Hörer
- School of Medicine and Health, Department of Pediatric and Congenital Heart Surgery, Technical University of Munich, German Heart Center Munich, Lazarettstraße 36, 80636 Munich, Germany ,Division of Congenital and Pediatric Heart Surgery, University Hospital of Munich, Ludwig-Maximilians-Universität, Munich, Germany
| | - Rüdiger Lange
- School of Medicine and Health, Department of Cardiovascular Surgery, Institute Insure, Technical University of Munich, German Heart Center Munich, Lazarettstrasse 36, 80636 Munich, Germany ,DZHK (German Center for Cardiovascular Research)-Partner Site Munich Heart Alliance, Biedersteiner Straße 29, 80802 Munich, Germany
| | - Markus Krane
- School of Medicine and Health, Department of Cardiovascular Surgery, Institute Insure, Technical University of Munich, German Heart Center Munich, Lazarettstrasse 36, 80636 Munich, Germany ,DZHK (German Center for Cardiovascular Research)-Partner Site Munich Heart Alliance, Biedersteiner Straße 29, 80802 Munich, Germany ,Division of Cardiac Surgery, Department of Surgery, Yale University School of Medicine, New Haven, CT USA
| | - Stefanie A. Doppler
- School of Medicine and Health, Department of Cardiovascular Surgery, Institute Insure, Technical University of Munich, German Heart Center Munich, Lazarettstrasse 36, 80636 Munich, Germany
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30
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Dai Z, Nomura S. Recent Progress in Cardiovascular Research Involving Single-Cell Omics Approaches. Front Cardiovasc Med 2021; 8:783398. [PMID: 34977189 PMCID: PMC8716466 DOI: 10.3389/fcvm.2021.783398] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 11/22/2021] [Indexed: 01/08/2023] Open
Abstract
Cardiovascular diseases are among the leading causes of morbidity and mortality worldwide. Although the spectrum of the heart from development to disease has long been studied, it remains largely enigmatic. The emergence of single-cell omics technologies has provided a powerful toolbox for defining cell heterogeneity, unraveling previously unknown pathways, and revealing intercellular communications, thereby boosting biomedical research and obtaining numerous novel findings over the last 7 years. Not only cell atlases of normal and developing hearts that provided substantial research resources, but also some important findings regarding cell-type-specific disease gene program, could never have been established without single-cell omics technologies. Herein, we briefly describe the latest technological advances in single-cell omics and summarize the major findings achieved by such approaches, with a focus on development and homeostasis of the heart, myocardial infarction, and heart failure.
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Affiliation(s)
| | - Seitaro Nomura
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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31
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Paolucci M, Vincenzi C, Romoli M, Amico G, Ceccherini I, Lattanzi S, Bersano A, Longoni M, Sacco S, Vernieri F, Pascarella R, Valzania F, Zedde M. The Genetic Landscape of Patent Foramen Ovale: A Systematic Review. Genes (Basel) 2021; 12:genes12121953. [PMID: 34946902 PMCID: PMC8700998 DOI: 10.3390/genes12121953] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 11/30/2021] [Accepted: 12/03/2021] [Indexed: 11/26/2022] Open
Abstract
Patent Foramen Ovale (PFO) is a common postnatal defect of cardiac atrial septation. A certain degree of familial aggregation has been reported. Animal studies suggest the involvement of the Notch pathway and other cardiac transcription factors (GATA4, TBX20, NKX2-5) in Foramen Ovale closure. This review evaluates the contribution of genetic alterations in PFO development. We systematically reviewed studies that assessed rare and common variants in subjects with PFO. The protocol was registered with PROSPERO and followed MOOSE guidelines. We systematically searched English studies reporting rates of variants in PFO subjects until the 30th of June 2021. Among 1231 studies, we included four studies: two of them assessed the NKX2-5 gene, the remaining reported variants of chromosome 4q25 and the GATA4 S377G variant, respectively. We did not find any variant associated with PFO, except for the rs2200733 variant of chromosome 4q25 in atrial fibrillation patients. Despite the scarceness of evidence so far, animal studies and other studies that did not fulfil the criteria to be included in the review indicate a robust genetic background in PFO. More research is needed on the genetic determinants of PFO.
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Affiliation(s)
- Matteo Paolucci
- Headache and Neurosonology Unit, Neurology, Campus Bio-Medico University Hospital, Via Alvaro del Portillo, 200, 00128 Rome, Italy;
- Neurology Unit, “M. Bufalini” Hospital, AUSL Romagna, Viale Giovanni Ghirotti, 286, 47521 Cesena, Italy; (M.R.); (M.L.)
- Correspondence:
| | - Chiara Vincenzi
- Neurology Unit, Stroke Unit, AUSL-IRCCS di Reggio Emilia, via Amendola 2, 42122 Reggio Emilia, Italy; (C.V.); (F.V.); (M.Z.)
| | - Michele Romoli
- Neurology Unit, “M. Bufalini” Hospital, AUSL Romagna, Viale Giovanni Ghirotti, 286, 47521 Cesena, Italy; (M.R.); (M.L.)
| | - Giulia Amico
- Laboratory of Genetics and Genomics of Rare Diseases, IRCCS Giannina Gaslini, Via Gerolamo Gaslini 5, 16147 Genova, Italy; (G.A.); (I.C.)
- DINOGMI-Universite degli Studi di Genova, Largo P. Daneo,3, 16132 Genova, Italy
| | - Isabella Ceccherini
- Laboratory of Genetics and Genomics of Rare Diseases, IRCCS Giannina Gaslini, Via Gerolamo Gaslini 5, 16147 Genova, Italy; (G.A.); (I.C.)
| | - Simona Lattanzi
- Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, 60121 Ancona, Italy;
| | - Anna Bersano
- Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy;
| | - Marco Longoni
- Neurology Unit, “M. Bufalini” Hospital, AUSL Romagna, Viale Giovanni Ghirotti, 286, 47521 Cesena, Italy; (M.R.); (M.L.)
| | - Simona Sacco
- Neuroscience Section, Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy;
| | - Fabrizio Vernieri
- Headache and Neurosonology Unit, Neurology, Campus Bio-Medico University Hospital, Via Alvaro del Portillo, 200, 00128 Rome, Italy;
| | - Rosario Pascarella
- Neuroradiology Unit, AUSL-IRCCS di Reggio Emilia, via Amendola 2, 42122 Reggio Emilia, Italy;
| | - Franco Valzania
- Neurology Unit, Stroke Unit, AUSL-IRCCS di Reggio Emilia, via Amendola 2, 42122 Reggio Emilia, Italy; (C.V.); (F.V.); (M.Z.)
| | - Marialuisa Zedde
- Neurology Unit, Stroke Unit, AUSL-IRCCS di Reggio Emilia, via Amendola 2, 42122 Reggio Emilia, Italy; (C.V.); (F.V.); (M.Z.)
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32
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D’Souza Z, Sumya FT, Khakurel A, Lupashin V. Getting Sugar Coating Right! The Role of the Golgi Trafficking Machinery in Glycosylation. Cells 2021; 10:cells10123275. [PMID: 34943782 PMCID: PMC8699264 DOI: 10.3390/cells10123275] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 11/17/2021] [Accepted: 11/19/2021] [Indexed: 12/18/2022] Open
Abstract
The Golgi is the central organelle of the secretory pathway and it houses the majority of the glycosylation machinery, which includes glycosylation enzymes and sugar transporters. Correct compartmentalization of the glycosylation machinery is achieved by retrograde vesicular trafficking as the secretory cargo moves forward by cisternal maturation. The vesicular trafficking machinery which includes vesicular coats, small GTPases, tethers and SNAREs, play a major role in coordinating the Golgi trafficking thereby achieving Golgi homeostasis. Glycosylation is a template-independent process, so its fidelity heavily relies on appropriate localization of the glycosylation machinery and Golgi homeostasis. Mutations in the glycosylation enzymes, sugar transporters, Golgi ion channels and several vesicle tethering factors cause congenital disorders of glycosylation (CDG) which encompass a group of multisystem disorders with varying severities. Here, we focus on the Golgi vesicle tethering and fusion machinery, namely, multisubunit tethering complexes and SNAREs and their role in Golgi trafficking and glycosylation. This review is a comprehensive summary of all the identified CDG causing mutations of the Golgi trafficking machinery in humans.
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33
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Brancaccio M, Mennitti C, Cesaro A, Monda E, D’Argenio V, Casaburi G, Mazzaccara C, Ranieri A, Fimiani F, Barretta F, Uomo F, Caiazza M, Lioncino M, D’Alicandro G, Limongelli G, Calabrò P, Terracciano D, Lombardo B, Frisso G, Scudiero O. Multidisciplinary In-Depth Investigation in a Young Athlete Suffering from Syncope Caused by Myocardial Bridge. Diagnostics (Basel) 2021; 11:diagnostics11112144. [PMID: 34829491 PMCID: PMC8618222 DOI: 10.3390/diagnostics11112144] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/10/2021] [Accepted: 11/12/2021] [Indexed: 12/20/2022] Open
Abstract
Laboratory medicine, along with genetic investigations in sports medicine, is taking on an increasingly important role in monitoring athletes’ health conditions. Acute or intense exercise can result in metabolic imbalances, muscle injuries or reveal cardiovascular disorders. This study aimed to monitor the health status of a basketball player with an integrated approach, including biochemical and genetic investigations and advanced imaging techniques, to shed light on the causes of recurrent syncope he experienced during exercise. Biochemical analyses showed that the athlete had abnormal iron, ferritin and bilirubin levels. Coronary Computed Tomographic Angiography highlighted the presence of an intramyocardial bridge, suggesting this may be the cause of the observed syncopes. The athlete was excluded from competitive activity. In order to understand if this cardiac malformation could be caused by an inherited genetic condition, both array-CGH and whole exome sequencing were performed. Array-CGH showed two intronic deletions involving MACROD2 and COMMD10 genes, which could be related to a congenital heart defect; whole exome sequencing highlighted the genotype compatible with Gilbert syndrome. However, no clear pathogenic mutations related to the patient’s cardiological phenotype were detected, even after applying machine learning methods. This case report highlights the importance and the need to provide exhaustive personalized diagnostic work up for the athletes in order to cover the cause of their malaise and for safeguarding their health. This multidisciplinary approach can be useful to create ad personam training and treatments, thus avoiding the appearance of diseases and injuries which, if underestimated, can become irreversible disorders and sometimes can result in the death of the athlete.
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Affiliation(s)
- Mariarita Brancaccio
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.B.); (C.M.); (C.M.); (F.B.); (F.U.); (B.L.)
| | - Cristina Mennitti
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.B.); (C.M.); (C.M.); (F.B.); (F.U.); (B.L.)
| | - Arturo Cesaro
- Department of Translational Medical Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (A.C.); (E.M.); (M.L.); (G.L.); (P.C.)
- Division of Clinical Cardiology, A.O.R.N. “Sant’Anna e San Sebastiano”, 81100 Caserta, Italy
| | - Emanuele Monda
- Department of Translational Medical Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (A.C.); (E.M.); (M.L.); (G.L.); (P.C.)
| | - Valeria D’Argenio
- Ceinge Biotecnologie Avanzate S. C. a R. L., 80131 Naples, Italy; (V.D.); (A.R.)
- Department of Human Sciences and Quality of Life Promotion, San Raffaele Open University, Via di val Cannuta 247, 00166 Roma, Italy
| | - Giorgio Casaburi
- Prescient Metabiomics, 1600 Faraday Ave, Carlsbad, CA 9200, USA;
| | - Cristina Mazzaccara
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.B.); (C.M.); (C.M.); (F.B.); (F.U.); (B.L.)
- Ceinge Biotecnologie Avanzate S. C. a R. L., 80131 Naples, Italy; (V.D.); (A.R.)
| | - Annaluisa Ranieri
- Ceinge Biotecnologie Avanzate S. C. a R. L., 80131 Naples, Italy; (V.D.); (A.R.)
| | - Fabio Fimiani
- Unit of Inherited and Rare Cardiovascular Diseases, Azienda Ospedaliera di Rilievo Nazionale AORN Dei Colli, “V. Monaldi”, 80122 Naples, Italy;
| | - Ferdinando Barretta
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.B.); (C.M.); (C.M.); (F.B.); (F.U.); (B.L.)
- Ceinge Biotecnologie Avanzate S. C. a R. L., 80131 Naples, Italy; (V.D.); (A.R.)
| | - Fabiana Uomo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.B.); (C.M.); (C.M.); (F.B.); (F.U.); (B.L.)
- Ceinge Biotecnologie Avanzate S. C. a R. L., 80131 Naples, Italy; (V.D.); (A.R.)
| | - Martina Caiazza
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, Monaldi Hospital, 81100 Naples, Italy;
| | - Michele Lioncino
- Department of Translational Medical Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (A.C.); (E.M.); (M.L.); (G.L.); (P.C.)
| | - Giovanni D’Alicandro
- Department of Neuroscience and Rehabilitation, Center of Sports Medicine and Disability, AORN, Santobono-Pausillipon, 80122 Naples, Italy;
| | - Giuseppe Limongelli
- Department of Translational Medical Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (A.C.); (E.M.); (M.L.); (G.L.); (P.C.)
| | - Paolo Calabrò
- Department of Translational Medical Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (A.C.); (E.M.); (M.L.); (G.L.); (P.C.)
- Division of Clinical Cardiology, A.O.R.N. “Sant’Anna e San Sebastiano”, 81100 Caserta, Italy
| | - Daniela Terracciano
- Department of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy;
| | - Barbara Lombardo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.B.); (C.M.); (C.M.); (F.B.); (F.U.); (B.L.)
- Ceinge Biotecnologie Avanzate S. C. a R. L., 80131 Naples, Italy; (V.D.); (A.R.)
| | - Giulia Frisso
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.B.); (C.M.); (C.M.); (F.B.); (F.U.); (B.L.)
- Ceinge Biotecnologie Avanzate S. C. a R. L., 80131 Naples, Italy; (V.D.); (A.R.)
- Correspondence: (G.F.); (O.S.); Tel.: +39-3472409595 (G.F.); +39-3396139908 (O.S.)
| | - Olga Scudiero
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.B.); (C.M.); (C.M.); (F.B.); (F.U.); (B.L.)
- Ceinge Biotecnologie Avanzate S. C. a R. L., 80131 Naples, Italy; (V.D.); (A.R.)
- Task Force on Microbiome Studies, University of Naples Federico II, 80100 Naples, Italy
- Correspondence: (G.F.); (O.S.); Tel.: +39-3472409595 (G.F.); +39-3396139908 (O.S.)
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Application of the Pluripotent Stem Cells and Genomics in Cardiovascular Research-What We Have Learnt and Not Learnt until Now. Cells 2021; 10:cells10113112. [PMID: 34831333 PMCID: PMC8623147 DOI: 10.3390/cells10113112] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 11/06/2021] [Accepted: 11/07/2021] [Indexed: 12/16/2022] Open
Abstract
Personalized regenerative medicine and biomedical research have been galvanized and revolutionized by human pluripotent stem cells in combination with recent advances in genomics, artificial intelligence, and genome engineering. More recently, we have witnessed the unprecedented breakthrough life-saving translation of mRNA-based vaccines for COVID-19 to contain the global pandemic and the investment in billions of US dollars in space exploration projects and the blooming space-tourism industry fueled by the latest reusable space vessels. Now, it is time to examine where the translation of pluripotent stem cell research stands currently, which has been touted for more than the last two decades to cure and treat millions of patients with severe debilitating degenerative diseases and tissue injuries. This review attempts to highlight the accomplishments of pluripotent stem cell research together with cutting-edge genomics and genome editing tools and, also, the promises that have still not been transformed into clinical applications, with cardiovascular research as a case example. This review also brings to our attention the scientific and socioeconomic challenges that need to be effectively addressed to see the full potential of pluripotent stem cells at the clinical bedside.
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Khasawneh RR, Kist R, Queen R, Hussain R, Coxhead J, Schneider JE, Mohun TJ, Zaffran S, Peters H, Phillips HM, Bamforth SD. Msx1 haploinsufficiency modifies the Pax9-deficient cardiovascular phenotype. BMC DEVELOPMENTAL BIOLOGY 2021; 21:14. [PMID: 34615475 PMCID: PMC8493722 DOI: 10.1186/s12861-021-00245-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 09/23/2021] [Indexed: 01/16/2023]
Abstract
BACKGROUND Successful embryogenesis relies on the coordinated interaction between genes and tissues. The transcription factors Pax9 and Msx1 genetically interact during mouse craniofacial morphogenesis, and mice deficient for either gene display abnormal tooth and palate development. Pax9 is expressed specifically in the pharyngeal endoderm at mid-embryogenesis, and mice deficient for Pax9 on a C57Bl/6 genetic background also have cardiovascular defects affecting the outflow tract and aortic arch arteries giving double-outlet right ventricle, absent common carotid arteries and interruption of the aortic arch. RESULTS In this study we have investigated both the effect of a different genetic background and Msx1 haploinsufficiency on the presentation of the Pax9-deficient cardiovascular phenotype. Compared to mice on a C57Bl/6 background, congenic CD1-Pax9-/- mice displayed a significantly reduced incidence of outflow tract defects but aortic arch defects were unchanged. Pax9-/- mice with Msx1 haploinsufficiency, however, have a reduced incidence of interrupted aortic arch, but more cases with cervical origins of the right subclavian artery and aortic arch, than seen in Pax9-/- mice. This alteration in arch artery defects was accompanied by a rescue in third pharyngeal arch neural crest cell migration and smooth muscle cell coverage of the third pharyngeal arch arteries. Although this change in phenotype could theoretically be compatible with post-natal survival, using tissue-specific inactivation of Pax9 to maintain correct palate development whilst inducing the cardiovascular defects was unable to prevent postnatal death in the mutant mice. Hyoid bone and thyroid cartilage formation were abnormal in Pax9-/- mice. CONCLUSIONS Msx1 haploinsufficiency mitigates the arch artery defects in Pax9-/- mice, potentially by maintaining the survival of the 3rd arch artery through unimpaired migration of neural crest cells to the third pharyngeal arches. With the neural crest cell derived hyoid bone and thyroid cartilage also being defective in Pax9-/- mice, we speculate that the pharyngeal endoderm is a key signalling centre that impacts on neural crest cell behaviour highlighting the ability of cells in different tissues to act synergistically or antagonistically during embryo development.
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Affiliation(s)
- Ramada R. Khasawneh
- grid.419328.50000 0000 9225 6820Newcastle University Biosciences Institute, Centre for Life, Newcastle, NE1 3BZ UK ,grid.14440.350000 0004 0622 5497Present Address: Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, Jordan
| | - Ralf Kist
- grid.419328.50000 0000 9225 6820Newcastle University Biosciences Institute, Centre for Life, Newcastle, NE1 3BZ UK ,grid.1006.70000 0001 0462 7212School of Dental Sciences, Newcastle University, Newcastle, NE2 4BW UK
| | - Rachel Queen
- grid.1006.70000 0001 0462 7212Bioinformatics Support Unit, Newcastle University, Newcastle, NE1 3BZ UK
| | - Rafiqul Hussain
- grid.1006.70000 0001 0462 7212Genomics Core Facility, Newcastle University, Newcastle, NE1 3BZ UK
| | - Jonathan Coxhead
- grid.1006.70000 0001 0462 7212Genomics Core Facility, Newcastle University, Newcastle, NE1 3BZ UK
| | - Jürgen E. Schneider
- grid.9909.90000 0004 1936 8403Biomedical Imaging, University of Leeds, Leeds, LS2 9JT UK
| | - Timothy J. Mohun
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, NW1 1AT UK
| | - Stéphane Zaffran
- grid.5399.60000 0001 2176 4817INSERM, Marseille Medical Genetics, U1251, Aix Marseille University, Marseille, France
| | - Heiko Peters
- grid.419328.50000 0000 9225 6820Newcastle University Biosciences Institute, Centre for Life, Newcastle, NE1 3BZ UK
| | - Helen M. Phillips
- grid.419328.50000 0000 9225 6820Newcastle University Biosciences Institute, Centre for Life, Newcastle, NE1 3BZ UK
| | - Simon D. Bamforth
- grid.419328.50000 0000 9225 6820Newcastle University Biosciences Institute, Centre for Life, Newcastle, NE1 3BZ UK
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Swiatlowska P, Iskratsch T. Cardiovascular mechanobiology-a Special Issue to look at the state of the art and the newest insights into the role of mechanical forces in cardiovascular development, physiology and disease. Biophys Rev 2021; 13:575-577. [PMID: 34777612 PMCID: PMC8555016 DOI: 10.1007/s12551-021-00842-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 09/03/2021] [Indexed: 12/12/2022] Open
Abstract
There has been much progress recently in the area of cardiovascular mechanobiology and this Special Issue aims at taking stock. This editorial gives context of the main motivation for this special issue as well as a brief summary of its content.
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Affiliation(s)
- Pamela Swiatlowska
- School of Engineering and Materials Science, Queen Mary University of London, London, UK
| | - Thomas Iskratsch
- School of Engineering and Materials Science, Queen Mary University of London, London, UK
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Diab NS, Barish S, Dong W, Zhao S, Allington G, Yu X, Kahle KT, Brueckner M, Jin SC. Molecular Genetics and Complex Inheritance of Congenital Heart Disease. Genes (Basel) 2021; 12:1020. [PMID: 34209044 PMCID: PMC8307500 DOI: 10.3390/genes12071020] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/23/2021] [Accepted: 06/25/2021] [Indexed: 01/09/2023] Open
Abstract
Congenital heart disease (CHD) is the most common congenital malformation and the leading cause of mortality therein. Genetic etiologies contribute to an estimated 90% of CHD cases, but so far, a molecular diagnosis remains unsolved in up to 55% of patients. Copy number variations and aneuploidy account for ~23% of cases overall, and high-throughput genomic technologies have revealed additional types of genetic variation in CHD. The first CHD risk genotypes identified through high-throughput sequencing were de novo mutations, many of which occur in chromatin modifying genes. Murine models of cardiogenesis further support the damaging nature of chromatin modifying CHD mutations. Transmitted mutations have also been identified through sequencing of population scale CHD cohorts, and many transmitted mutations are enriched in cilia genes and Notch or VEGF pathway genes. While we have come a long way in identifying the causes of CHD, more work is required to end the diagnostic odyssey for all CHD families. Complex genetic explanations of CHD are emerging but will require increasingly sophisticated analysis strategies applied to very large CHD cohorts before they can come to fruition in providing molecular diagnoses to genetically unsolved patients. In this review, we discuss the genetic architecture of CHD and biological pathways involved in its pathogenesis.
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Affiliation(s)
- Nicholas S. Diab
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; (N.S.D.); (S.B.); (W.D.)
| | - Syndi Barish
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; (N.S.D.); (S.B.); (W.D.)
| | - Weilai Dong
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; (N.S.D.); (S.B.); (W.D.)
- Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY 10065, USA
| | - Shujuan Zhao
- Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA; (S.Z.); (X.Y.)
| | - Garrett Allington
- Department of Pathology, Yale School of Medicine, New Haven, CT 06510, USA;
| | - Xiaobing Yu
- Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA; (S.Z.); (X.Y.)
- Department of Computer Science & Engineering, Washington University, St. Louis, MO 63130, USA
| | - Kristopher T. Kahle
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA;
- Department of Pediatrics, Yale School of Medicine, New Haven, CT 06510, USA
- Department of Cellular & Molecular Physiology, Yale School of Medicine, New Haven, CT 06510, USA
| | - Martina Brueckner
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; (N.S.D.); (S.B.); (W.D.)
- Department of Pediatrics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Sheng Chih Jin
- Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA; (S.Z.); (X.Y.)
- Department of Pediatrics, School of Medicine, Washington University, St. Louis, MO 63110, USA
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From Stem Cells to Populations-Using hiPSC, Next-Generation Sequencing, and GWAS to Explore the Genetic and Molecular Mechanisms of Congenital Heart Defects. Genes (Basel) 2021; 12:genes12060921. [PMID: 34208537 PMCID: PMC8235101 DOI: 10.3390/genes12060921] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/01/2021] [Accepted: 06/12/2021] [Indexed: 01/16/2023] Open
Abstract
Congenital heart defects (CHD) are developmental malformations affecting the heart and the great vessels. Early heart development requires temporally regulated crosstalk between multiple cell types, signaling pathways, and mechanical forces of early blood flow. While both genetic and environmental factors have been recognized to be involved, identifying causal genes in non-syndromic CHD has been difficult. While variants following Mendelian inheritance have been identified by linkage analysis in a few families with multiple affected members, the inheritance pattern in most familial cases is complex, with reduced penetrance and variable expressivity. Furthermore, most non-syndromic CHD are sporadic. Improved sequencing technologies and large biobank collections have enabled genome-wide association studies (GWAS) in non-syndromic CHD. The ability to generate human to create human induced pluripotent stem cells (hiPSC) and further differentiate them to organotypic cells enables further exploration of genotype–phenotype correlations in patient-derived cells. Here we review how these technologies can be used in unraveling the genetics and molecular mechanisms of heart development.
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Crawford K, Oliver PL, Agnew T, Hunn BHM, Ahel I. Behavioural Characterisation of Macrod1 and Macrod2 Knockout Mice. Cells 2021; 10:368. [PMID: 33578760 PMCID: PMC7916507 DOI: 10.3390/cells10020368] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/03/2021] [Accepted: 02/04/2021] [Indexed: 11/17/2022] Open
Abstract
Adenosine diphosphate ribosylation (ADP-ribosylation; ADPr), the addition of ADP-ribose moieties onto proteins and nucleic acids, is a highly conserved modification involved in a wide range of cellular functions, from viral defence, DNA damage response (DDR), metabolism, carcinogenesis and neurobiology. Here we study MACROD1 and MACROD2 (mono-ADP-ribosylhydrolases 1 and 2), two of the least well-understood ADPr-mono-hydrolases. MACROD1 has been reported to be largely localized to the mitochondria, while the MACROD2 genomic locus has been associated with various neurological conditions such as autism, attention deficit hyperactivity disorder (ADHD) and schizophrenia; yet the potential significance of disrupting these proteins in the context of mammalian behaviour is unknown. Therefore, here we analysed both Macrod1 and Macrod2 gene knockout (KO) mouse models in a battery of well-defined, spontaneous behavioural testing paradigms. Loss of Macrod1 resulted in a female-specific motor-coordination defect, whereas Macrod2 disruption was associated with hyperactivity that became more pronounced with age, in combination with a bradykinesia-like gait. These data reveal new insights into the importance of ADPr-mono-hydrolases in aspects of behaviour associated with both mitochondrial and neuropsychiatric disorders.
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Affiliation(s)
- Kerryanne Crawford
- Sir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, UK; (K.C.); (T.A.)
| | - Peter L. Oliver
- Department of Physiology, Anatomy and Genetics, University of Oxford, Parks Road, Oxford OX1 3PT, UK; (P.L.O.); (B.H.M.H.)
- MRC Harwell Institute, Harwell Campus, Didcot OX11 0RD, UK
| | - Thomas Agnew
- Sir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, UK; (K.C.); (T.A.)
| | - Benjamin H. M. Hunn
- Department of Physiology, Anatomy and Genetics, University of Oxford, Parks Road, Oxford OX1 3PT, UK; (P.L.O.); (B.H.M.H.)
| | - Ivan Ahel
- Sir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, UK; (K.C.); (T.A.)
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Abstract
The genetic, epigenetic, and environmental etiologic basis of congenital heart disease (CHD) for most heart anomalies remains unexplained. In this issue of the JCI, Lahm et al. performed the largest genome-wide association study (GWAS) to date of European individuals with CHD and clinical subtypes. The comprehensive meta-analysis included over 4000 patients and 8000 controls and uncovered common genetic variants that associated with cardiac anomalies. Lahm and colleagues performed single-cell analysis of induced pluripotent stem cells and heart cells, revealing a role for MACROD2, GOSR2, WNT3, and MSX1 in the developing heart. This study advances our understanding of the genetic basis of common forms of CHD.
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Affiliation(s)
- Dawood Darbar
- Division of Cardiology, Departments of Medicine and Pharmacology, University of Illinois at Chicago, Chicago, Illinois, USA
- Department of Medicine Jesse Brown Veterans Administration Medical Center, Chicago, Illinois, USA
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