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Moreno-Manuel AI, Macías Á, Cruz FM, Gutiérrez LK, Martínez F, González-Guerra A, Martínez Carrascoso I, Bermúdez-Jimenez FJ, Sánchez-Pérez P, Vera-Pedrosa ML, Ruiz-Robles JM, Bernal JA, Jalife J. The Kir2.1E299V mutation increases atrial fibrillation vulnerability while protecting the ventricles against arrhythmias in a mouse model of short QT syndrome type 3. Cardiovasc Res 2024; 120:490-505. [PMID: 38261726 DOI: 10.1093/cvr/cvae019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 10/24/2023] [Accepted: 12/12/2023] [Indexed: 01/25/2024] Open
Abstract
AIMS Short QT syndrome type 3 (SQTS3) is a rare arrhythmogenic disease caused by gain-of-function mutations in KCNJ2, the gene coding the inward rectifier potassium channel Kir2.1. We used a multidisciplinary approach and investigated arrhythmogenic mechanisms in an in-vivo model of de-novo mutation Kir2.1E299V identified in a patient presenting an extremely abbreviated QT interval and paroxysmal atrial fibrillation. METHODS AND RESULTS We used intravenous adeno-associated virus-mediated gene transfer to generate mouse models, and confirmed cardiac-specific expression of Kir2.1WT or Kir2.1E299V. On ECG, the Kir2.1E299V mouse recapitulated the QT interval shortening and the atrial-specific arrhythmia of the patient. The PR interval was also significantly shorter in Kir2.1E299V mice. Patch-clamping showed extremely abbreviated action potentials in both atrial and ventricular Kir2.1E299V cardiomyocytes due to a lack of inward-going rectification and increased IK1 at voltages positive to -80 mV. Relative to Kir2.1WT, atrial Kir2.1E299V cardiomyocytes had a significantly reduced slope conductance at voltages negative to -80 mV. After confirming a higher proportion of heterotetrameric Kir2.x channels containing Kir2.2 subunits in the atria, in-silico 3D simulations predicted an atrial-specific impairment of polyamine block and reduced pore diameter in the Kir2.1E299V-Kir2.2WT channel. In ventricular cardiomyocytes, the mutation increased excitability by shifting INa activation and inactivation in the hyperpolarizing direction, which protected the ventricle against arrhythmia. Moreover, Purkinje myocytes from Kir2.1E299V mice manifested substantially higher INa density than Kir2.1WT, explaining the abbreviation in the PR interval. CONCLUSION The first in-vivo mouse model of cardiac-specific SQTS3 recapitulates the electrophysiological phenotype of a patient with the Kir2.1E299V mutation. Kir2.1E299V eliminates rectification in both cardiac chambers but protects against ventricular arrhythmias by increasing excitability in both Purkinje-fiber network and ventricles. Consequently, the predominant arrhythmias are supraventricular likely due to the lack of inward rectification and atrial-specific reduced pore diameter of the Kir2.1E299V-Kir2.2WT heterotetramer.
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MESH Headings
- Animals
- Potassium Channels, Inwardly Rectifying/genetics
- Potassium Channels, Inwardly Rectifying/metabolism
- Atrial Fibrillation/genetics
- Atrial Fibrillation/physiopathology
- Atrial Fibrillation/metabolism
- Disease Models, Animal
- Action Potentials
- Myocytes, Cardiac/metabolism
- Myocytes, Cardiac/pathology
- Mutation
- Humans
- Arrhythmias, Cardiac/genetics
- Arrhythmias, Cardiac/physiopathology
- Arrhythmias, Cardiac/metabolism
- Genetic Predisposition to Disease
- Heart Ventricles/metabolism
- Heart Ventricles/physiopathology
- Mice
- Phenotype
- Heart Rate/genetics
- Male
- Mice, Transgenic
- Mice, Inbred C57BL
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Affiliation(s)
- Ana I Moreno-Manuel
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain
| | - Álvaro Macías
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain
| | - Francisco M Cruz
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain
| | - Lilian K Gutiérrez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain
| | - Fernando Martínez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain
- CIBER de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Andrés González-Guerra
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain
| | - Isabel Martínez Carrascoso
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain
| | - Francisco José Bermúdez-Jimenez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain
- Department of Cardiology, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain
| | - Patricia Sánchez-Pérez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain
| | | | - Juan Manuel Ruiz-Robles
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain
| | - Juan A Bernal
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain
- CIBER de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - José Jalife
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain
- CIBER de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Departments of Internal Medicine and Molecular and Integrative Physiology, Center for Arrhythmia Research, University of Michigan, Ann Arbor, MI 4810, USA
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2
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Chen X, Zheng Y, Wang J, Yue B, Zhang X, Nakai K, Yan LL. Resting heart rate and risk of dementia: a Mendelian randomization study in the international genomics of Alzheimer's Project and UK Biobank. PeerJ 2024; 12:e17073. [PMID: 38500529 PMCID: PMC10946385 DOI: 10.7717/peerj.17073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 02/18/2024] [Indexed: 03/20/2024] Open
Abstract
Background Observational studies have demonstrated that a higher resting heart rate (RHR) is associated with an increased risk of dementia. However, it is not clear whether the association is causal. This study aimed to determine the causal effects of higher genetically predicted RHR on the risk of dementia. Methods We performed a two-sample Mendelian randomization analysis to investigate the causal effect of higher genetically predicted RHR on Alzheimer's disease (AD) using summary statistics from genome-wide association studies. The generalized summary Mendelian randomization (GSMR) analysis was used to analyze the corresponding effects of RHR on following different outcomes: 1) diagnosis of AD (International Genomics of Alzheimer's Project), 2) family history (maternal and paternal) of AD from UK Biobank, 3) combined meta-analysis including these three GWAS results. Further analyses were conducted to determine the possibility of reverse causal association by adjusting for RHR modifying medication. Results The results of GSMR showed no significant causal effect of higher genetically predicted RHR on the risk of AD (βGSMR = 0.12, P = 0.30). GSMR applied to the maternal family history of AD (βGSMR = -0.18, P = 0.13) and to the paternal family history of AD (βGSMR = -0.14, P = 0.39) showed the same results. Furthermore, the results were robust after adjusting for RHR modifying drugs (βGSMR = -0.03, P = 0.72). Conclusion Our study did not find any evidence that supports a causal effect of RHR on dementia. Previous observational associations between RHR and dementia are likely attributed to the correlation between RHR and other cardiovascular diseases.
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Affiliation(s)
- Xingxing Chen
- School of Public Health, Wuhan University, Wuhan, Hubei Province, China
- Duke Kunshan University, Global Health Research Center, Kunshan, Suzhou, China
| | - Yi Zheng
- The University of Tokyo, Department of Computational Biology and Medical Science, Kashiwa, Japan
| | - Jun Wang
- Huazhong University of Science and Technology, Department of Otorhinolaryngology of Union Hospital, Wuhan, Hubei Province, China
| | - Blake Yue
- School of Business and Law, Edith Cowan University, Perth, WA, Australia
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Xian Zhang
- Duke Kunshan University, Global Health Research Center, Kunshan, Suzhou, China
| | - Kenta Nakai
- The University of Tokyo, Department of Computational Biology and Medical Science, Kashiwa, Japan
- The University of Tokyo, The Institute of Medical Science, Tokyo, Japan
| | - Lijing L. Yan
- School of Public Health, Wuhan University, Wuhan, Hubei Province, China
- Duke Kunshan University, Global Health Research Center, Kunshan, Suzhou, China
- Duke University, Duke Global Health Institute, Durham, North Carolina, United States of America
- Peking University, Institute for Global Health and Management, Beijing, China
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3
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Luo X, Wang R, Zhou Y, Xie W. The relationship between emotional disorders and heart rate variability: A Mendelian randomization study. PLoS One 2024; 19:e0298998. [PMID: 38451975 PMCID: PMC10919610 DOI: 10.1371/journal.pone.0298998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 02/04/2024] [Indexed: 03/09/2024] Open
Abstract
OBJECTIVE Previous studies have shown that emotional disorders are negatively associated with heart rate variability (HRV), but the potential causal relationship between genetic susceptibility to emotional disorders and HRV remains unclear. We aimed to perform a Mendelian randomization (MR) study to investigate the potential association between emotional disorders and HRV. METHODS The data used for this study were obtained from publicly available genome-wide association study datasets. Five models, including the inverse variance weighted model (IVW), the weighted median estimation model (WME), the weighted model-based method (WM), the simple model (SM) and the MR-Egger regression model (MER), were utilized for MR. The leave-one-out sensitivity test, MR pleiotropy residual sum and outlier test (MR-PRESSO) and Cochran's Q test were used to confirm heterogeneity and pleiotropy. RESULTS MR analysis revealed that genetic susceptibility to broad depression was negatively correlated with HRV (pvRSA/HF) (OR = 0.380, 95% CI 0.146-0.992; p = 0.048). However, genetic susceptibility to irritability was positively correlated with HRV (pvRSA/HF, SDNN) (OR = 2.017, 95% CI 1.152-3.534, p = 0.008) (OR = 1.154, 95% CI 1.000-1.331, p = 0.044). Genetic susceptibility to anxiety was positively correlated with HRV (RMSSD) (OR = 2.106, 95% CI 1.032-4.299; p = 0.041). No significant directional pleiotropy or heterogeneity was detected. The accuracy and robustness of these findings were confirmed through a sensitivity analysis. CONCLUSIONS Our MR study provides genetic support for the causal effects of broad depression, irritable mood, and anxiety on HRV.
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Affiliation(s)
- Xu Luo
- College of Clinical Medicine, University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Rui Wang
- College of Clinical Medicine, University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - YunXiang Zhou
- College of Clinical Medicine, University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Wen Xie
- College of Clinical Medicine, University of Traditional Chinese Medicine, Chengdu, Sichuan, China
- Department of Cardiology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
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4
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Teixeira SK, Pontes R, Zuleta LFG, Wang J, Xu D, Hildebrand S, Russell J, Zhan X, Choi M, Tang M, Li X, Ludwig S, Beutler B, Krieger JE. Genetic determinants of blood pressure and heart rate identified through ENU-induced mutagenesis with automated meiotic mapping. Sci Adv 2024; 10:eadj9797. [PMID: 38427739 PMCID: PMC10906923 DOI: 10.1126/sciadv.adj9797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 01/29/2024] [Indexed: 03/03/2024]
Abstract
We used N-ethyl-N-nitrosurea-induced germline mutagenesis combined with automated meiotic mapping to identify specific systolic blood pressure (SBP) and heart rate (HR) determinant loci. We analyzed 43,627 third-generation (G3) mice from 841 pedigrees to assess the effects of 45,378 variant alleles within 15,760 genes, in both heterozygous and homozygous states. We comprehensively tested 23% of all protein-encoding autosomal genes and found 87 SBP and 144 HR (with 7 affecting both) candidates exhibiting detectable hypomorphic characteristics. Unexpectedly, only 18 of the 87 SBP genes were previously known, while 26 of the 144 genes linked to HR were previously identified. Furthermore, we confirmed the influence of two genes on SBP regulation and three genes on HR control through reverse genetics. This underscores the importance of our research in uncovering genes associated with these critical cardiovascular risk factors and illustrate the effectiveness of germline mutagenesis for defining key determinants of polygenic phenotypes that must be studied in an intact organism.
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Affiliation(s)
- Samantha K. Teixeira
- Laboratório de Genética e Cardiologia Molecular, Instituto do Coração, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Roberto Pontes
- Laboratório de Genética e Cardiologia Molecular, Instituto do Coração, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Luiz Fernando G. Zuleta
- Laboratório de Genética e Cardiologia Molecular, Instituto do Coração, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Jianhui Wang
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Darui Xu
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sara Hildebrand
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jamie Russell
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Xiaoming Zhan
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Mihwa Choi
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Miao Tang
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Xiaohong Li
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sara Ludwig
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Bruce Beutler
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jose E. Krieger
- Laboratório de Genética e Cardiologia Molecular, Instituto do Coração, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
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5
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Zhao Y, Yu H, Gong A, Zhang S, Xiao B. Heart rate variability and cardiovascular diseases: A Mendelian randomization study. Eur J Clin Invest 2024; 54:e14085. [PMID: 37641564 DOI: 10.1111/eci.14085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 06/23/2023] [Accepted: 08/01/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND The causal relationship between heart rate variability and cardiovascular diseases and the associated events is still unclear, and the conclusions of current studies are inconsistent. We aimed to explore the relationship between heart rate variability and cardiovascular diseases and the associated events with the Mendelian randomization study. METHODS We selected normal-to-normal inter-beat intervals (SDNN), root mean square of the successive differences of inter-beat intervals (RMSSD) and peak-valley respiratory sinus arrhythmia or high-frequency power (pvRSA/HF) as the three sets of instrumental variables for heart rate variability. The outcome for cardiovascular diseases included essential hypertension, heart failure, angina pectoris, myocardial infarction, nonischemic cardiomyopathy and arrhythmia. Cardiac arrest, cardiac death and major coronary heart disease event were defined as the related events of cardiovascular diseases. The data for exposures and outcomes were derived from publicly available genome-wide association studies. Inverse variance weighted was used for the main causal estimation. Analyses of heterogeneity and pleiotropy were conducted using the Cochran Q test of Inverse variance weighted and MR-Egger, leave-one-out analysis, and MR-Pleiotropy Residual Sum and Outlier methods. RESULTS The Inverse variance weighted method indicated that genetically predicted pvRSA/HF was associated with the increased risk of cardiac arrest (odds ratio 2.02, 95% confidence interval 1.25-3.28, p = .004). The results were free of heterogeneity and pleiotropy. There were no outliers and the leave-one-out analysis proved that the results were reliable. CONCLUSIONS This study provides genetic evidence that pvRSA/HF is causally related to cardiac arrest.
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Affiliation(s)
- Yan Zhao
- Department of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Hangtian Yu
- Department of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Angwei Gong
- Department of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Shuaidan Zhang
- Department of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Bing Xiao
- Department of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
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6
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Asatryan B, McClellan R, De La Uz CM. Pre-natal clues of a genetic tale: how foetal heart rate foretells long QT syndrome. Europace 2023; 25:euad322. [PMID: 37882612 PMCID: PMC10655054 DOI: 10.1093/europace/euad322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 10/25/2023] [Indexed: 10/27/2023] Open
Affiliation(s)
- Babken Asatryan
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, 600 N Wolfe Str, Baltimore, MD 21287, USA
| | - Rebecca McClellan
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, 600 N Wolfe Str, Baltimore, MD 21287, USA
| | - Caridad M De La Uz
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, 600 N Wolfe Str, Baltimore, MD 21287, USA
- Division of Pediatric Cardiology, Department of Pediatrics, Pediatric and Congenital Cardiac Electrophysiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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7
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Tegegne BS, Said MA, Ani A, van Roon AM, Shah S, de Geus EJC, van der Harst P, Riese H, Nolte IM, Snieder H. Phenotypic but not genetically predicted heart rate variability associated with all-cause mortality. Commun Biol 2023; 6:1013. [PMID: 37803156 PMCID: PMC10558565 DOI: 10.1038/s42003-023-05376-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 09/19/2023] [Indexed: 10/08/2023] Open
Abstract
Low heart rate variability (HRV) has been widely reported as a predictor for increased mortality. However, the molecular mechanisms are poorly understood. Therefore, this study aimed to identify novel genetic loci associated with HRV and assess the association of phenotypic HRV and genetically predicted HRV with mortality. In a GWAS of 46,075 European ancestry individuals from UK biobank, we identified 17 independent genome-wide significant genetic variants in 16 loci associated with HRV traits. Notably, eight of these loci (RNF220, GNB4, LINCR-002, KLHL3/HNRNPA0, CHRM2, KCNJ5, MED13L, and C160rf72) have not been reported previously. In a prospective phenotypic relationship between HRV and mortality during a median follow-up of seven years, individuals with lower HRV had higher risk of dying from any cause. Genetically predicted HRV, as determined by the genetic risk scores, was not associated with mortality. To the best of our knowledge, the findings provide novel biological insights into the mechanisms underlying HRV. These results also underline the role of the cardiac autonomic nervous system, as indexed by HRV, in predicting mortality.
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Affiliation(s)
- Balewgizie S Tegegne
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - M Abdullah Said
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Alireza Ani
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Arie M van Roon
- Department of Vascular Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sonia Shah
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Institute of Cardiovascular Science, University College London, London, UK
| | - Eco J C de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pim van der Harst
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - Harriëtte Riese
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
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8
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van de Vegte YJ, Eppinga RN, van der Ende MY, Hagemeijer YP, Mahendran Y, Salfati E, Smith AV, Tan VY, Arking DE, Ntalla I, Appel EV, Schurmann C, Brody JA, Rueedi R, Polasek O, Sveinbjornsson G, Lecoeur C, Ladenvall C, Zhao JH, Isaacs A, Wang L, Luan J, Hwang SJ, Mononen N, Auro K, Jackson AU, Bielak LF, Zeng L, Shah N, Nethander M, Campbell A, Rankinen T, Pechlivanis S, Qi L, Zhao W, Rizzi F, Tanaka T, Robino A, Cocca M, Lange L, Müller-Nurasyid M, Roselli C, Zhang W, Kleber ME, Guo X, Lin HJ, Pavani F, Galesloot TE, Noordam R, Milaneschi Y, Schraut KE, den Hoed M, Degenhardt F, Trompet S, van den Berg ME, Pistis G, Tham YC, Weiss S, Sim XS, Li HL, van der Most PJ, Nolte IM, Lyytikäinen LP, Said MA, Witte DR, Iribarren C, Launer L, Ring SM, de Vries PS, Sever P, Linneberg A, Bottinger EP, Padmanabhan S, Psaty BM, Sotoodehnia N, Kolcic I, Arnar DO, Gudbjartsson DF, Holm H, Balkau B, Silva CT, Newton-Cheh CH, Nikus K, Salo P, Mohlke KL, Peyser PA, Schunkert H, Lorentzon M, Lahti J, Rao DC, Cornelis MC, Faul JD, Smith JA, Stolarz-Skrzypek K, Bandinelli S, Concas MP, Sinagra G, Meitinger T, Waldenberger M, Sinner MF, Strauch K, Delgado GE, Taylor KD, Yao J, Foco L, Melander O, de Graaf J, de Mutsert R, de Geus EJC, Johansson Å, Joshi PK, Lind L, Franke A, Macfarlane PW, Tarasov KV, Tan N, Felix SB, Tai ES, Quek DQ, Snieder H, Ormel J, Ingelsson M, Lindgren C, Morris AP, Raitakari OT, Hansen T, Assimes T, Gudnason V, Timpson NJ, Morrison AC, Munroe PB, Strachan DP, Grarup N, Loos RJF, Heckbert SR, Vollenweider P, Hayward C, Stefansson K, Froguel P, Groop L, Wareham NJ, van Duijn CM, Feitosa MF, O'Donnell CJ, Kähönen M, Perola M, Boehnke M, Kardia SLR, Erdmann J, Palmer CNA, Ohlsson C, Porteous DJ, Eriksson JG, Bouchard C, Moebus S, Kraft P, Weir DR, Cusi D, Ferrucci L, Ulivi S, Girotto G, Correa A, Kääb S, Peters A, Chambers JC, Kooner JS, März W, Rotter JI, Hicks AA, Smith JG, Kiemeney LALM, Mook-Kanamori DO, Penninx BWJH, Gyllensten U, Wilson JF, Burgess S, Sundström J, Lieb W, Jukema JW, Eijgelsheim M, Lakatta ELM, Cheng CY, Dörr M, Wong TY, Sabanayagam C, Oldehinkel AJ, Riese H, Lehtimäki T, Verweij N, van der Harst P. Genetic insights into resting heart rate and its role in cardiovascular disease. Nat Commun 2023; 14:4646. [PMID: 37532724 PMCID: PMC10397318 DOI: 10.1038/s41467-023-39521-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 06/16/2023] [Indexed: 08/04/2023] Open
Abstract
Resting heart rate is associated with cardiovascular diseases and mortality in observational and Mendelian randomization studies. The aims of this study are to extend the number of resting heart rate associated genetic variants and to obtain further insights in resting heart rate biology and its clinical consequences. A genome-wide meta-analysis of 100 studies in up to 835,465 individuals reveals 493 independent genetic variants in 352 loci, including 68 genetic variants outside previously identified resting heart rate associated loci. We prioritize 670 genes and in silico annotations point to their enrichment in cardiomyocytes and provide insights in their ECG signature. Two-sample Mendelian randomization analyses indicate that higher genetically predicted resting heart rate increases risk of dilated cardiomyopathy, but decreases risk of developing atrial fibrillation, ischemic stroke, and cardio-embolic stroke. We do not find evidence for a linear or non-linear genetic association between resting heart rate and all-cause mortality in contrast to our previous Mendelian randomization study. Systematic alteration of key differences between the current and previous Mendelian randomization study indicates that the most likely cause of the discrepancy between these studies arises from false positive findings in previous one-sample MR analyses caused by weak-instrument bias at lower P-value thresholds. The results extend our understanding of resting heart rate biology and give additional insights in its role in cardiovascular disease development.
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Affiliation(s)
- Yordi J van de Vegte
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, 9700RB, the Netherlands
| | - Ruben N Eppinga
- Department of Cardiology, Isala Zwolle ziekenhuis, Zwolle, 8025 AB, the Netherlands
| | - M Yldau van der Ende
- Department of Cardiology, University medical Center Utrecht, Utrecht, 3584 Cx, the Netherlands
| | - Yanick P Hagemeijer
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, 9700RB, the Netherlands
- Analytical Biochemistry, University of Groningen, Groningen, 9713 AV, the Netherlands
| | - Yuvaraj Mahendran
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medicine Science, University of Copenhagen, Copenhagen Ø, 2100, Denmark
| | - Elias Salfati
- Department of Medicine, Stanford University School of Medicine, Stanford, 94305, USA
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
| | - Albert V Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI48109, USA
| | - Vanessa Y Tan
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, BS82BN, UK
- MRC Integrative Epidemiology, University of Bristol, Bristol, BS82BN, UK
| | - Dan E Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, 21215, USA
| | - Ioanna Ntalla
- Clinical Pharmacology and Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Emil V Appel
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medicine Science, University of Copenhagen, Copenhagen Ø, 2100, Denmark
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, 10029, USA
| | | | - Rico Rueedi
- Department of Computational Biology, University of Lausanne, Lausanne, 1015, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
| | - Ozren Polasek
- Department of Public Health, University of Split School of Medicine, Split, 21000, Croatia
- Algebra LAB, Algebra University College, Zagreb, 10000, Croatia
| | | | - Cecile Lecoeur
- UMR 8199, University of Lille Nord de France, Lille, 59000, France
| | - Claes Ladenvall
- Clinial Genomics Uppsala, Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, 75185, Sweden
- Lund University Diabetes Center, Department of Clinical Sciences, Lund University, Malmö, 20502, Sweden
| | - Jing Hua Zhao
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Victor Phillip Dahdaleh Heart & Lung Research Institute, University of Cambridge, Cambridge, CB2 0BB, UK
| | - Aaron Isaacs
- CARIM School for Cardiovascular Diseases, Maastricht Centre for Systems Biology (MaCSBio), Department of Physiology, Maastricht University, Maastricht, 6229ER, Netherlands
| | - Lihua Wang
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63108-2212, Campus Box 8506, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Shih-Jen Hwang
- Division of Intramural Research, National Heart Lung and Blood Institute, NIH, USA, Framingham, 1702, USA
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, FI-33014, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, FI-33014, Finland
| | - Kirsi Auro
- Department of Health, unit of genetics and biomarkers, , National Institute for Health and Welfare, Finland, Helsinki, FI-00290, Finland
- Department of molecular medicine, University of Helsinki, Helsinki, FI-00290, Finland
| | - Anne U Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Lawrence F Bielak
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Linyao Zeng
- Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, 80636, Germany
| | - Nabi Shah
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK
- Pharmacogenetics Research Lab, Department of Pharmacy, COMSATS University Islamabad, Abbottabad, 22060, Pakistan
| | - Maria Nethander
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 41345, Sweden
- Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics & Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
- Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, EH16 4UX, UK
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Sonali Pechlivanis
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, 45122, Germany
| | - Lu Qi
- Department of Epidemiology, Tulane University, New Orleans, LA, 70112, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Federica Rizzi
- Unit of Biomedicine, Bio4Dreams-Business Nursery for Life Sciences, Milano, 20121, Italy
| | - Toshiko Tanaka
- Longitudinal Study Section, National Institute on Aging, Baltimore, 21224, USA
| | - Antonietta Robino
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, 34137, Italy
| | - Massimiliano Cocca
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, 34137, Italy
| | - Leslie Lange
- Medicine, University of Colorado Anschutz Medical Campus, Aurora, 80045, USA
| | - Martina Müller-Nurasyid
- IBE, Ludwig-Maximilians-University Munich, LMU Munich, Munich, 81377, Germany
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, 55101, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Carolina Roselli
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, 02142, USA
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, Middlesex, UB1 3HW, UK
| | - Marcus E Kleber
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, 68167, Germany
- SYNLAB MVZ Humangenetik Mannheim, Mannheim, 68163, Germany
| | - Xiuqing Guo
- Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA, Torrance, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, 90502, USA
| | - Henry J Lin
- Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA, Torrance, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, 90502, USA
| | - Francesca Pavani
- Institute for Biomedicine, Eurac Research, Bolzano, 39100, Italy
| | | | - Raymond Noordam
- Department of Internal Medicine, section Gerontology and Geriatrics, Leiden University Medical Center, Leiden, 2300 RC, the Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health, Amsterdam UMC, Amsterdam UMC, Vrije Universiteit, Amsterdam, Amsterdam, 1081 HL, the Netherlands
| | - Katharina E Schraut
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, Scotland, UK
| | - Marcel den Hoed
- The Beijer laboratory and Department of Immunology, Genetics and Pathology, Uppsala University and Science for Life Laboratory, Uppsala, 75237, Sweden
| | - Frauke Degenhardt
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, 24105, Germany
| | - Stella Trompet
- Department of Internal Medicine, section Gerontology and Geriatrics, Leiden University Medical Center, Leiden, 2300 RC, the Netherlands
- Department of Cardiology, Leiden University Medical Center, Leiden, ZA, 2333, the Netherlands
| | - Marten E van den Berg
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015GD, the Netherlands
| | - Giorgio Pistis
- Institute of Genetics and Biomedic Research (IRGB), Italian National Research Council (CNR), Monserrato, (CA), 9042, Italy
- Center for Statistical Genetics, University of Michigan, Ann Arbor, 48109, USA
| | - Yih-Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Xueling S Sim
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, 117549, Singapore
| | - Hengtong L Li
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, FI-33014, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, FI-33014, Finland
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0SL, UK
| | - M Abdullah Said
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, 9700RB, the Netherlands
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus C, 8000, Denmark
| | - Carlos Iribarren
- Division of Research, Kaiser Permenente of Northern California, Oakland, 94612, USA
- The Scripps Research Institute, La Jolla, 10550, USA
| | | | - Susan M Ring
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, BS82BN, UK
- MRC Integrative Epidemiology, University of Bristol, Bristol, BS82BN, UK
| | - Paul S de Vries
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston, School of Public Health, Houston, 77030, USA
| | - Peter Sever
- National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, 2400, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Erwin P Bottinger
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, 10029, USA
- Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, 10029, USA
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | - Bruce M Psaty
- Departments of Medicine, Epidemiology and Health Systems and Population Health, University of Washington, Seattle, 98195, USA
| | - Nona Sotoodehnia
- Medicine and Epidemiology, University of Washington, Seattle, 98195, USA
| | - Ivana Kolcic
- Department of Public Health, University of Split School of Medicine, Split, 21000, Croatia
- Algebra LAB, Algebra University College, Zagreb, 10000, Croatia
| | - David O Arnar
- deCODE genetics / Amgen Inc., Reykjavik, 102, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, 101, Iceland
- Department of Medicine, Landspitali-The National University Hospital of Iceland, Reykjavik, 101, Iceland
| | - Daniel F Gudbjartsson
- deCODE genetics / Amgen Inc., Reykjavik, 102, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, 101, Iceland
| | - Hilma Holm
- deCODE genetics / Amgen Inc., Reykjavik, 102, Iceland
| | - Beverley Balkau
- Centre for Research in Epidemiology and Population Health, Institut national de la santé et de la recherche médicale, Villejuif, 94800, France
- UMRS 1018, University Versailles Saint-Quentin-en-Yvelines, Versailles, 78035, France
- UMRS 1018, University Paris Sud, Villejuif, 94807, France
| | - Claudia T Silva
- Genetic Epidemiology Unit, Dept. of Epidemiology, Erasmus University Medical Center, Rotterdam, 3000CA, Netherlands
| | | | - Kjell Nikus
- Department of Cardiology, Heart Center, Tampere University Hospital, Tampere, FI-33521, Finland
- Department of Cardiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, FI-33014, Finland
| | - Perttu Salo
- Department of Health, unit of genetics and biomarkers, , National Institute for Health and Welfare, Finland, Helsinki, FI-00290, Finland
- Department of molecular medicine, University of Helsinki, Helsinki, FI-00290, Finland
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Patricia A Peyser
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Heribert Schunkert
- Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, 80636, Germany
- Deutsches Zentrum für Herz- und Kreislauferkrankungen (DZHK), Partner Site Munich Heart Alliance, Munich, 80636, Germany
| | - Mattias Lorentzon
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 41345, Sweden
- Region Västra Götaland, Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Mölndal, 43180, Sweden
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, 3000, Australia
| | - Jari Lahti
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, 00014, Finland
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University, St. Louis, MO, 63110, USA
| | | | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Katarzyna Stolarz-Skrzypek
- Department of Cardiology, Interventional Electrocardiology and Hypertension, Jagiellonian University Medical College, Kraków, 31-008, Poland
| | - Stefania Bandinelli
- Geriatric Unit, Unità sanitaria locale Toscana Centro, Florence, 50142, Italy
| | - Maria Pina Concas
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, 34137, Italy
| | - Gianfranco Sinagra
- Cardiovascular Department, "Ospedali Riuniti and University of Trieste", Trieste, 34149, Italy
| | - Thomas Meitinger
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, München, 81675, Germany
- Institute of Human Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, 80802, Germany
| | - Moritz F Sinner
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, 80802, Germany
- Department of Cardiology, University Hospital, LMU Munich, Munich, 81377, Germany
| | - Konstantin Strauch
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, 55101, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
- Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, 81377, Germany
| | - Graciela E Delgado
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, 68167, Germany
| | - Kent D Taylor
- Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA, Torrance, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, 90502, USA
| | - Jie Yao
- Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA, Torrance, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, 90502, USA
| | - Luisa Foco
- Institute for Biomedicine, Eurac Research, Bolzano, 39100, Italy
| | - Olle Melander
- Department of Internal Medicine, Clinical Sciences, Lund University and Skåne University Hospital, Malmo, 221 85, Sweden
- Lund University Diabetes Center, Lund University, Malmö, 221 85, Sweden
| | | | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, 2300 RC, the Netherlands
| | - Eco J C de Geus
- Biological Psychology, EMGO+ Institute for Health and Care Research and Neuroscience Campus Amsterdam, VU University, Amsterdam, 1081 BT, the Netherlands
| | - Åsa Johansson
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, 75108, Sweden
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH8 9AG, Scotland, UK
| | - Lars Lind
- Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Uppsala, 75237, Sweden
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, 24105, Germany
| | - Peter W Macfarlane
- Institute of Health and Wellbeing, Faculty of Medicine, University of Glasgow, Glasgow, G12 0XH, UK
| | - Kirill V Tarasov
- Laboratory of Cardiovascular Sciences, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Nicholas Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
| | - Stephan B Felix
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, 17475, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, 17475, Germany
| | - E-Shyong Tai
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
| | - Debra Q Quek
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Johan Ormel
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences, Molecular Geriatrics, Uppsala University, Uppsala, 75237, Sweden
| | - Cecilia Lindgren
- Genetic and Genomic Epidemiology Unit, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Andrew P Morris
- Genetic and Genomic Epidemiology Unit, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, FI-20521, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, FI-20521, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, FI-20521, Finland
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medicine Science, University of Copenhagen, Copenhagen Ø, 2100, Denmark
| | - Themistocles Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, 94305, USA
| | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
- Icelandic Heart Association, Kopavogur, 201, Iceland
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School,, University of Bristol, Bristol, BS8 2BN, UK
| | - Alanna C Morrison
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston, School of Public Health, Houston, 77030, USA
| | - Patricia B Munroe
- Clinical Pharmacology and Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- NIHR Barts Biomedical Research Centre, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
| | - David P Strachan
- Population Health Research Institute, St George's, University of London, London, SW17 0RE, UK
| | - Niels Grarup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medicine Science, University of Copenhagen, Copenhagen Ø, 2100, Denmark
| | - Ruth J F Loos
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medicine Science, University of Copenhagen, Copenhagen Ø, 2100, Denmark
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, 10029, USA
- The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York, 10029, USA
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, 98195, USA
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University hospital, Lausanne, 1015, Switzerland
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, Scotland, UK
| | - Kari Stefansson
- deCODE genetics / Amgen Inc., Reykjavik, 102, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, 101, Iceland
| | - Philippe Froguel
- Department of Metabolism, Imperial College London, London, W12 0HS, UK
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, Lille University Hospital, EGID, Lille, 59000, France
- University of Lille, Lille, 59000, France
| | - Leif Groop
- Lund University Diabetes Center, Department of Clinical Sciences, Lund University, Malmö, 20502, Sweden
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00290, Finland
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Cornelia M van Duijn
- Genetic Epidemiology Unit, Dept. of Epidemiology, Erasmus University Medical Center, Rotterdam, 3000CA, Netherlands
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63108-2212, Campus Box 8506, USA
| | - Christopher J O'Donnell
- Cardiology Section, VA Boston Healthcare System, Harvard Medical School, Boston, MA, 02132, USA
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, FI-33521, Finland
- Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, FI-33521, Finland
| | - Markus Perola
- Department of Health, unit of genetics and biomarkers, , National Institute for Health and Welfare, Finland, Helsinki, FI-00290, Finland
- Department of molecular medicine, University of Helsinki, Helsinki, FI-00290, Finland
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Jeanette Erdmann
- Institute for Cardiogenetics, University of Lübeck, Lübeck, 23562, Germany
| | - Colin N A Palmer
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK
| | - Claes Ohlsson
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 41345, Sweden
- Department of Drug Treatment, Sahlgrenska University Hospital, Gothenburg, 41345, Sweden
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Johan G Eriksson
- Department of General practice and primary care, University of Helsinki, Helsinki, 00014, Finland
- Department of Obstetrics and Gynecology, National University of Singapore, Singapore, 119228, Singapore
- Public health Research Program, Folkhalsan Research Center, Helsinki, 000250, Finland
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, 45122, Germany
- Centre for Urban Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, 45122, Germany
| | - Peter Kraft
- Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02112, USA
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Daniele Cusi
- Unit of Biomedicine, Bio4Dreams-Business Nursery for Life Sciences, Milano, 20121, Italy
- Institute of Biomedical Technologies, National Research Council of Italy, Segrate, (MI), 20090, Italy
| | - Luigi Ferrucci
- Longitudinal Study Section, National Institute on Aging, Baltimore, 21224, USA
| | - Sheila Ulivi
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, 34137, Italy
| | - Giorgia Girotto
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, 34137, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, 34149, Italy
| | - Adolfo Correa
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, 39216, USA
| | - Stefan Kääb
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, 80802, Germany
- Department of Cardiology, University Hospital, LMU Munich, Munich, 81377, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, 80802, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, 81377, Germany
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, Middlesex, UB1 3HW, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, Middlesex, UB1 3HW, UK
- National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, W12 0HS, UK
| | - Winfried März
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, 68167, Germany
- Synlab Academy, Synlab Holding Deutschland GmbH, Mannheim, 68161, Germany
| | - Jerome I Rotter
- Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA, Torrance, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, 90502, USA
| | - Andrew A Hicks
- Institute for Biomedicine, Eurac Research, Bolzano, 39100, Italy
| | - J Gustav Smith
- Department of Cardiology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, 221 85, Sweden
- Wallenberg Center for Molecular Medicine and Lund University Diabetes Center, Lund University, Lund, 221 84, Sweden
- The Wallenberg Laboratory/Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University and the Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, 413 45, Sweden
| | | | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, 2300 RC, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, 2300 RC, the Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health, Amsterdam UMC, Amsterdam UMC, Vrije Universiteit, Amsterdam, Amsterdam, 1081 HL, the Netherlands
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, 75108, Sweden
| | - James F Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH8 9AG, Scotland, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, Scotland, UK
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK
| | - Johan Sundström
- Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Uppsala, 75237, Sweden
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank PopGen, Kiel University, Kiel, 24105, Germany
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, ZA, 2333, the Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, ZA, 2333, the Netherlands
- Netherlands Heart Institute, Utrecht, 3511 EP, the Netherlands
| | - Mark Eijgelsheim
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015GD, the Netherlands
- Department of Nephrology, University Medical Center Groningen, Groningen, 9700RB, the Netherlands
| | - Edward L M Lakatta
- Laboratory of Cardiovascular Sciences, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
| | - Marcus Dörr
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, 17475, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, 17475, Germany
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, 169857, Singapore
- Tsinghua Medicine, Tsinghua University, Beijing, 100084, China
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, 169857, Singapore
| | - Albertine J Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Harriette Riese
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, FI-33014, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, FI-33014, Finland
| | - Niek Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, 9700RB, the Netherlands
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, 9700RB, the Netherlands.
- Department of Cardiology, University medical Center Utrecht, Utrecht, 3584 Cx, the Netherlands.
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, 9700RB, the Netherlands.
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Karwatowska L, Frach L, Schoeler T, Tielbeek JJ, Murray J, de Geus E, Viding E, Pingault JB. Resting heart rate and antisocial behaviour: a Mendelian randomisation study. Sci Rep 2023; 13:10212. [PMID: 37353630 PMCID: PMC10290077 DOI: 10.1038/s41598-023-37123-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 06/15/2023] [Indexed: 06/25/2023] Open
Abstract
Observational studies frequently report phenotypic associations between low resting heart rate (RHR) and higher levels of antisocial behaviour (ASB), although it remains unclear whether this relationship reflects causality. To triangulate evidence, we conducted two-sample univariable Mendelian randomisation (MR), multivariable MR and linkage disequilibrium score regression (LDSC) analyses. Genetic data were accessed from published genome-wide association studies (GWAS) for RHR (n = 458,835) and ASB (n = 85,359) for the univariable analyses, along with a third GWAS for heart rate variability (HRV; n = 53,174) for all other analyses. Genome-wide significant (p < 5 × 10-8) single-nucleotide polymorphisms associated with RHR (n = 278) were selected as instrumental variables and the outcome was a composite measure of ASB. No causal association was observed between RHR and ASB (BIVW = - 0.0004, p = 0.841). The multivariable MR analyses including RHR and HRV also suggested no causal associations (BIVW = 0.016, p = 0.914) and no genetic correlations between the heart rate measures and ASB were observed using LDSC (rg = 0.057, p = 0.169). Sensitivity analyses suggested that our results are not likely to be affected by heterogeneity, pleiotropic effects, or reverse causation. These findings suggest that individual differences in autonomic nervous system functioning indexed by RHR are not likely to directly contribute to the development of ASB. Therefore, previously observed associations between RHR and ASB may arise from confounding, reverse causation, and/or additional study characteristics. Further causally informative longitudinal research is required to confirm our findings, and caution should be applied when using measures of RHR in interventions targeting ASB.
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Affiliation(s)
- Lucy Karwatowska
- Great Ormond Street Institute of Child Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK.
| | - Leonard Frach
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Tabea Schoeler
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Jorim J Tielbeek
- Department of Complex Trait Genomics, VU University Amsterdam, Amsterdam, The Netherlands
| | - Joseph Murray
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
- Human Development and Violence Research Centre, Federal University of Pelotas, Pelotas, Brazil
| | - Eco de Geus
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Essi Viding
- Developmental Risk & Resilience Unit, Division of Psychology & Language Sciences, University College London, London, UK
| | - Jean-Baptiste Pingault
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Social, Genetic, and Developmental Psychiatry, King's College London, De Crespigny Park, London, UK
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10
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Siland JE, Geelhoed B, Roselli C, Wang B, Lin HJ, Weiss S, Trompet S, van den Berg ME, Soliman EZ, Chen LY, Ford I, Jukema JW, Macfarlane PW, Kornej J, Lin H, Lunetta KL, Kavousi M, Kors JA, Ikram MA, Guo X, Yao J, Dörr M, Felix SB, Völker U, Sotoodehnia N, Arking DE, Stricker BH, Heckbert SR, Lubitz SA, Benjamin EJ, Alonso A, Ellinor PT, van der Harst P, Rienstra M. Resting heart rate and incident atrial fibrillation: A stratified Mendelian randomization in the AFGen consortium. PLoS One 2022; 17:e0268768. [PMID: 35594314 PMCID: PMC9122202 DOI: 10.1371/journal.pone.0268768] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 05/06/2022] [Indexed: 12/02/2022] Open
Abstract
Background Both elevated and low resting heart rates are associated with atrial fibrillation (AF), suggesting a U-shaped relationship. However, evidence for a U-shaped causal association between genetically-determined resting heart rate and incident AF is limited. We investigated potential directional changes of the causal association between genetically-determined resting heart rate and incident AF. Method and results Seven cohorts of the AFGen consortium contributed data to this meta-analysis. All participants were of European ancestry with known AF status, genotype information, and a heart rate measurement from a baseline electrocardiogram (ECG). Three strata of instrumental variable-free resting heart rate were used to assess possible non-linear associations between genetically-determined resting heart rate and the logarithm of the incident AF hazard rate: <65; 65–75; and >75 beats per minute (bpm). Mendelian randomization analyses using a weighted resting heart rate polygenic risk score were performed for each stratum. We studied 38,981 individuals (mean age 59±10 years, 54% women) with a mean resting heart rate of 67±11 bpm. During a mean follow-up of 13±5 years, 4,779 (12%) individuals developed AF. A U-shaped association between the resting heart rate and the incident AF-hazard ratio was observed. Genetically-determined resting heart rate was inversely associated with incident AF for instrumental variable-free resting heart rates below 65 bpm (hazard ratio for genetically-determined resting heart rate, 0.96; 95% confidence interval, 0.94–0.99; p = 0.01). Genetically-determined resting heart rate was not associated with incident AF in the other two strata. Conclusions For resting heart rates below 65 bpm, our results support an inverse causal association between genetically-determined resting heart rate and incident AF.
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Affiliation(s)
- J. E. Siland
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - B. Geelhoed
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - C. Roselli
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
| | - B. Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
| | - H. J. Lin
- Institute for Translational Genomics and Population Sciences, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States of America
- Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America
| | - S. Weiss
- Interfaculty Institute for Genetics and Functional Genomics; Department of Functional Genomics; University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research); partner site Greifswald, Greifswald, Germany
| | - S. Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - M. E. van den Berg
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - E. Z. Soliman
- Division of Public Health Sciences and Department of Medicine, Epidemiological Cardiology Research Center, Department of Epidemiology and Prevention, Section on Cardiology, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - L. Y. Chen
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, United States of America
| | - I. Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, United Kingdom
| | - J. W. Jukema
- DZHK (German Centre for Cardiovascular Research); partner site Greifswald, Greifswald, Germany
- Einthoven Laboratory for Experimental Vascular Medicine, LUMC, Leiden, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
| | - P. W. Macfarlane
- Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - J. Kornej
- National Heart, Lung, and Blood Institute’s and Boston University’s Framingham Heart Study, Framingham, MA, United States of America
| | - H. Lin
- National Heart Lung and Blood Institute’s and Boston University’s Framingham Heart Study, Framingham, MA, United States of America
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, Unites States of America
| | - K. L. Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- National Heart, Lung, and Blood Institute’s and Boston University’s Framingham Heart Study, Framingham, MA, United States of America
| | - M. Kavousi
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - J. A. Kors
- Department of Medical Informatics, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M. A. Ikram
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - X. Guo
- Institute for Translational Genomics and Population Sciences, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States of America
- Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America
| | - J. Yao
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - M. Dörr
- DZHK (German Centre for Cardiovascular Research); partner site Greifswald, Greifswald, Germany
- Department of Internal Medicine B-Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, University Medicine Greifswald, Greifswald, Germany
| | - S. B. Felix
- DZHK (German Centre for Cardiovascular Research); partner site Greifswald, Greifswald, Germany
- Department of Internal Medicine B-Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, University Medicine Greifswald, Greifswald, Germany
| | - U. Völker
- Interfaculty Institute for Genetics and Functional Genomics; Department of Functional Genomics; University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research); partner site Greifswald, Greifswald, Germany
| | - N. Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, Unites States of America
| | - D. E. Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University SOM, Baltimore, MD, Unites States of America
| | - B. H. Stricker
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - S. R. Heckbert
- Cardiovascular Health Research Unit and the Department of Epidemiology, University of Washington, Seattle, WA, Unites States of America
| | - S. A. Lubitz
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, Unites States of America
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston, MA, Unites States of America
| | - E. J. Benjamin
- Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
- Department of Medicine, Boston University School of Medicine, Boston, MA, Unites States of America
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, Unites States of America
| | - A. Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, Unites States of America
| | - P. T. Ellinor
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, Unites States of America
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston, MA, Unites States of America
| | - P. van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
- University Medical Center Utrecht, Department of Heart and Lungs, University of Utrecht, Utrecht, The Netherlands
| | - M. Rienstra
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- * E-mail:
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11
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Huang T, Wang W, Wang J, Lv J, Yu C, Guo Y, Pei P, Huang N, Yang L, Millwood IY, Walters RG, Chen Y, Du H, Su J, Chen J, Chen Z, Tang Y, Li L. Conventional and Bidirectional Genetic Evidence on Resting Heart Rate and Cardiometabolic Traits. J Clin Endocrinol Metab 2022; 107:e1518-e1527. [PMID: 34850013 DOI: 10.1210/clinem/dgab847] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Observational studies have suggested that higher resting heart rate (RHR) may be associated with increased cardiometabolic risk. However, causal associations are not fully understood. OBJECTIVE We aimed to examine the direction, strength, and causality of the associations of RHR with cardiometabolic traits. METHODS We assessed the strength of associations between measured RHR and cardiometabolic traits in 506 211 and 372 452 participants from China Kadoorie Biobank (CKB) and UK Biobank (UKB). Mendelian randomization (MR) analyses were used to make causal inferences in 99 228 and 371 508 participants from CKB and UKB, respectively. RESULTS We identified significant directionally concordant observational associations between RHR and higher total cholesterol, triglycerides (TG), low-density lipoprotein, C-reactive protein (CRP), glucose, body mass index, waist-hip ratio (WHR), systolic blood pressure (SBP), and diastolic blood pressure (DBP) after the Bonferroni correction. MR analyses showed that 10 beat/min higher genetically predicted RHR was trans-ethnically associated with a higher DBP (beta 2.059 [95% CI 1.544, 2.574] mmHg in CKB; 2.037 [1.845, 2.229] mmHg in UKB), higher CRP (0.180 [0.057, 0.303] log mg/L in CKB; 0.154 [0.134, 0.174] log mg/L in UKB), higher TG (0.052 [-0.009, 0.113] log mmol/L in CKB; 0.020 [0.010, 0.030] log mmol/L in UKB) and higher WHR (0.218 [-0.033, 0.469] % in CKB; 0.225 [0.111, 0.339] % in UKB). In the opposite direction, higher genetically predicted SBP, TG, glucose, and WHR, and lower high-density lipoprotein, were associated with elevated RHR. CONCLUSION Our large-scale analyses provide causal evidence for associations between RHR and cardiometabolic traits, highlighting the importance of monitoring heat rate as a means of alleviating the adverse effects of metabolic disorders.
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Affiliation(s)
- Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - Wenxiu Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Jingjia Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 102308, China
| | - Jun Lv
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Pei Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Ninghao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Iona Y Millwood
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Robin G Walters
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Jian Su
- Jiangsu CDC, Nanjing, Jiangsu 210009, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Yida Tang
- Department of Cardiology, Peking University Third Hospital, Beijing 100191, China
| | - Liming Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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12
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De Nittis P, Efthymiou S, Sarre A, Guex N, Chrast J, Putoux A, Sultan T, Raza Alvi J, Ur Rahman Z, Zafar F, Rana N, Rahman F, Anwar N, Maqbool S, Zaki MS, Gleeson JG, Murphy D, Galehdari H, Shariati G, Mazaheri N, Sedaghat A, Lesca G, Chatron N, Salpietro V, Christoforou M, Houlden H, Simonds WF, Pedrazzini T, Maroofian R, Reymond A. Inhibition of G-protein signalling in cardiac dysfunction of intellectual developmental disorder with cardiac arrhythmia (IDDCA) syndrome. J Med Genet 2021; 58:815-831. [PMID: 33172956 PMCID: PMC8639930 DOI: 10.1136/jmedgenet-2020-107015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 08/30/2020] [Accepted: 09/04/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND Pathogenic variants of GNB5 encoding the β5 subunit of the guanine nucleotide-binding protein cause IDDCA syndrome, an autosomal recessive neurodevelopmental disorder associated with cognitive disability and cardiac arrhythmia, particularly severe bradycardia. METHODS We used echocardiography and telemetric ECG recordings to investigate consequences of Gnb5 loss in mouse. RESULTS We delineated a key role of Gnb5 in heart sinus conduction and showed that Gnb5-inhibitory signalling is essential for parasympathetic control of heart rate (HR) and maintenance of the sympathovagal balance. Gnb5-/- mice were smaller and had a smaller heart than Gnb5+/+ and Gnb5+/- , but exhibited better cardiac function. Lower autonomic nervous system modulation through diminished parasympathetic control and greater sympathetic regulation resulted in a higher baseline HR in Gnb5-/- mice. In contrast, Gnb5-/- mice exhibited profound bradycardia on treatment with carbachol, while sympathetic modulation of the cardiac stimulation was not altered. Concordantly, transcriptome study pinpointed altered expression of genes involved in cardiac muscle contractility in atria and ventricles of knocked-out mice. Homozygous Gnb5 loss resulted in significantly higher frequencies of sinus arrhythmias. Moreover, we described 13 affected individuals, increasing the IDDCA cohort to 44 patients. CONCLUSIONS Our data demonstrate that loss of negative regulation of the inhibitory G-protein signalling causes HR perturbations in Gnb5-/- mice, an effect mainly driven by impaired parasympathetic activity. We anticipate that unravelling the mechanism of Gnb5 signalling in the autonomic control of the heart will pave the way for future drug screening.
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Affiliation(s)
| | - Stephanie Efthymiou
- Department of Neuromuscular Disorders, Queen Square Institute of Neurology, University College London, London, UK
| | - Alexandre Sarre
- Cardiovascular Assessment Facility, University of Lausanne, Lausanne, Switzerland
| | - Nicolas Guex
- Bioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland
| | - Jacqueline Chrast
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Audrey Putoux
- Service de Génétique, Hopital Femme Mere Enfant, Bron, France
| | - Tipu Sultan
- Department of Pediatric Neurology, The Children's Hospital and Institute of Child Health, Lahore, Pakistan
| | - Javeria Raza Alvi
- Department of Pediatric Neurology, The Children's Hospital and Institute of Child Health, Lahore, Pakistan
| | - Zia Ur Rahman
- Department of Pediatric Neurology, The Children's Hospital and Institute of Child Health, Lahore, Pakistan
| | - Faisal Zafar
- Department of Paediatric Neurology, Children's Hospital and Institute of Child Health, Multan, Pakistan
| | - Nuzhat Rana
- Department of Paediatric Neurology, Children's Hospital and Institute of Child Health, Multan, Pakistan
| | - Fatima Rahman
- Department of Developmental-Behavioural Paediatrics, The Children's Hospital and Institute of Child Health, Lahore, Pakistan
| | - Najwa Anwar
- Department of Developmental-Behavioural Paediatrics, The Children's Hospital and Institute of Child Health, Lahore, Pakistan
| | - Shazia Maqbool
- Department of Developmental-Behavioural Paediatrics, The Children's Hospital and Institute of Child Health, Lahore, Pakistan
| | - Maha S Zaki
- Clinical Genetics Department, Human Genetics and Genome Research Division, National Research Centre, Cairo, Egypt
| | - Joseph G Gleeson
- Department of Neuroscience and Pediatrics, Howard Hughes Medical Institute, La Jolla, California, USA
| | - David Murphy
- Department of Neuromuscular Disorders, Queen Square Institute of Neurology, University College London, London, UK
| | - Hamid Galehdari
- Department of Genetics, Faculty of Science, Shahid Chamran University of Ahvaz, Ahwaz, Iran (the Islamic Republic of)
| | - Gholamreza Shariati
- Department of Medical Genetics, Faculty of Medicine, Ahvaz Jondishapour University of Medical Sciences, Ahvaz, Iran (the Islamic Republic of)
| | - Neda Mazaheri
- Department of Genetics, Faculty of Science, Shahid Chamran University of Ahvaz, Ahwaz, Iran (the Islamic Republic of)
| | - Alireza Sedaghat
- Health Research Institute, Diabetes Research Center, Ahvaz Jundishapur University of medical Sciences, Ahvaz, Iran (the Islamic Republic of)
| | - Gaetan Lesca
- Service de Genetique, Hospices Civils de Lyon, Lyon, France
| | - Nicolas Chatron
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
- Service de Genetique, Hospices Civils de Lyon, Lyon, France
| | - Vincenzo Salpietro
- Department of Neuromuscular Disorders, Queen Square Institute of Neurology, University College London, London, UK
| | - Marilena Christoforou
- Department of Neuromuscular Disorders, Queen Square Institute of Neurology, University College London, London, UK
| | - Henry Houlden
- Department of Neuromuscular Disorders, Queen Square Institute of Neurology, University College London, London, UK
| | - William F Simonds
- Metabolic Diseases Branch/NIDDK, National Institutes of Health, Bethesda, MD, USA
| | - Thierry Pedrazzini
- Experimental Cardiology Unit, Department of Cardiovascular Medicine, University of Lausanne, Lausanne, Switzerland
| | - Reza Maroofian
- Department of Neuromuscular Disorders, Queen Square Institute of Neurology, University College London, London, UK
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
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13
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Huen SC, Wang A, Feola K, Desrouleaux R, Luan HH, Hogg R, Zhang C, Zhang QJ, Liu ZP, Medzhitov R. Hepatic FGF21 preserves thermoregulation and cardiovascular function during bacterial inflammation. J Exp Med 2021; 218:e20202151. [PMID: 34406362 PMCID: PMC8374861 DOI: 10.1084/jem.20202151] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 06/22/2021] [Accepted: 08/02/2021] [Indexed: 12/16/2022] Open
Abstract
Sickness behaviors, including anorexia, are evolutionarily conserved responses to acute infections. Inflammation-induced anorexia causes dramatic metabolic changes, of which components critical to survival are unique depending on the type of inflammation. Glucose supplementation during the anorectic period induced by bacterial inflammation suppresses adaptive fasting metabolic pathways, including fibroblast growth factor 21 (FGF21), and decreases survival. Consistent with this observation, FGF21-deficient mice are more susceptible to mortality from endotoxemia and polybacterial peritonitis. Here, we report that increased circulating FGF21 during bacterial inflammation is hepatic derived and required for survival through the maintenance of thermogenesis, energy expenditure, and cardiac function. FGF21 signaling downstream of its obligate coreceptor, β-Klotho (KLB), is required in bacterial sepsis. However, FGF21 modulates thermogenesis and chronotropy independent of the adipose, forebrain, and hypothalamus, which are operative in cold adaptation, suggesting that in bacterial inflammation, either FGF21 signals through a novel, undescribed target tissue or concurrent signaling of multiple KLB-expressing tissues is required.
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Affiliation(s)
- Sarah C. Huen
- Department of Internal Medicine (Nephrology) and Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Andrew Wang
- Department of Internal Medicine (Rheumatology), Yale University School of Medicine, New Haven, CT
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT
| | - Kyle Feola
- Department of Internal Medicine (Nephrology) and Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Reina Desrouleaux
- Department of Internal Medicine (Rheumatology), Yale University School of Medicine, New Haven, CT
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT
| | - Harding H. Luan
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT
| | - Richard Hogg
- Department of Internal Medicine (Nephrology) and Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Cuiling Zhang
- Department of Internal Medicine (Rheumatology), Yale University School of Medicine, New Haven, CT
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT
| | - Qing-Jun Zhang
- Department of Internal Medicine (Cardiology) and Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Zhi-Ping Liu
- Department of Internal Medicine (Cardiology) and Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Ruslan Medzhitov
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT
- Howard Hughes Medical Institute, Chevy Chase, MD
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Wang W, Wang J, Lv J, Yu C, Shao C, Tang Y, Guo Y, Bian Z, Du H, Yang L, Millwood IY, Walters RG, Chen Y, Chang L, Fan L, Chen J, Chen Z, Huang T, Li L. Association of heart rate and diabetes among 0.5 million adults in the China Kadoorie biobank: Results from observational and Mendelian randomization analyses. Nutr Metab Cardiovasc Dis 2021; 31:2328-2337. [PMID: 34052074 DOI: 10.1016/j.numecd.2021.04.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 04/06/2021] [Accepted: 04/16/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND AIMS Observational studies have associated resting heart rate with incident diabetes. Whether the associations are causal remains unclear. We aimed to examine the shape and strength of the associations and assessed the causal relevance of such associations in Chinese adults. METHODS AND RESULTS The China Kadoorie Biobank enrolled 512,891 adults in China. Cox proportional hazard regression models was conducted to estimate hazard ratios (HRs) for the associations of resting heart rate with type 2 diabetes and total diabetes. Among 92,724 participants, 36 single-nucleotide polymorphisms (SNPs) related to resting heart rate were used to construct genetic risk score. We used Mendelian randomization analyses to make the causal inferences. During a median follow-up of 9 years, 7872 incident type 2 diabetes and 13,349 incident total diabetes were documented. After regression dilution bias adjustment, each 10 bpm higher heart rate was associated with about a 26% higher risk of type 2 diabetes (HR, 1.26 [95% CI, 1.23, 1.29]) and 23% higher risk of total diabetes (HR, 1.23 [95% CI, 1.20, 1.26]). Instrumental variable analyses showed participants at top quintile compared with those at bottom quintile had 30% higher risk for type 2 diabetes (HR, 1.30 [95% CI, 1.17, 1.43]), and 10% higher risk for total diabetes (HR, 1.10 [95% CI, 1.02, 1.20]). CONCLUSIONS This study provides evidence that resting heart rate is an important risk factor for diabetes risk. The results suggest that novel treatment approaches targeting reduction of high heart rate for incidence of diabetes may be worth further investigation.
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Affiliation(s)
- Wenxiu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jingjia Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Chunli Shao
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yida Tang
- Department of Cardiology, Peking University Third Hospital, Beijing, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom; Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom; Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Iona Y Millwood
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Robin G Walters
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom; Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Liang Chang
- NCDs Prevention and Control Department, Henan CDC, Henan, China
| | - Lei Fan
- NCDs Prevention and Control Department, Henan CDC, Henan, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China.
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China.
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15
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Fontaine AK, Futia GL, Rajendran PS, Littich SF, Mizoguchi N, Shivkumar K, Ardell JL, Restrepo D, Caldwell JH, Gibson EA, Weir RFF. Optical vagus nerve modulation of heart and respiration via heart-injected retrograde AAV. Sci Rep 2021; 11:3664. [PMID: 33574459 PMCID: PMC7878800 DOI: 10.1038/s41598-021-83280-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 01/18/2021] [Indexed: 12/16/2022] Open
Abstract
Vagus nerve stimulation has shown many benefits for disease therapies but current approaches involve imprecise electrical stimulation that gives rise to off-target effects, while the functionally relevant pathways remain poorly understood. One method to overcome these limitations is the use of optogenetic techniques, which facilitate targeted neural communication with light-sensitive actuators (opsins) and can be targeted to organs of interest based on the location of viral delivery. Here, we tested whether retrograde adeno-associated virus (rAAV2-retro) injected in the heart can be used to selectively express opsins in vagus nerve fibers controlling cardiac function. Furthermore, we investigated whether perturbations in cardiac function could be achieved with photostimulation at the cervical vagus nerve. Viral injection in the heart resulted in robust, primarily afferent, opsin reporter expression in the vagus nerve, nodose ganglion, and brainstem. Photostimulation using both one-photon stimulation and two-photon holography with a GRIN-lens incorporated nerve cuff, was tested on the pilot-cohort of injected mice. Changes in heart rate, surface electrocardiogram, and respiratory responses were observed in response to both one- and two-photon photostimulation. The results demonstrate feasibility of retrograde labeling for organ targeted optical neuromodulation.
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Affiliation(s)
- Arjun K Fontaine
- Departments of Bioengineering, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA.
- Biomechatronics Development Laboratory, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA.
| | - Gregory L Futia
- Departments of Bioengineering, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
| | - Pradeep S Rajendran
- UCLA Cardiac Arrhythmia Center, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neurocardiology Research Program of Excellence, University of California Los Angeles, Los Angeles, CA, USA
| | - Samuel F Littich
- Departments of Bioengineering, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
- Biomechatronics Development Laboratory, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
| | - Naoko Mizoguchi
- Departments of Cell and Developmental Biology, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
- Division of Pharmacology, Department of Diagnostic and Therapeutic Sciences, Meikai University School of Dentistry, Saitama, Japan
| | - Kalyanam Shivkumar
- UCLA Cardiac Arrhythmia Center, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neurocardiology Research Program of Excellence, University of California Los Angeles, Los Angeles, CA, USA
| | - Jeffrey L Ardell
- UCLA Cardiac Arrhythmia Center, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neurocardiology Research Program of Excellence, University of California Los Angeles, Los Angeles, CA, USA
| | - Diego Restrepo
- Departments of Cell and Developmental Biology, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
| | - John H Caldwell
- Departments of Cell and Developmental Biology, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
| | - Emily A Gibson
- Departments of Bioengineering, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
| | - Richard F Ff Weir
- Departments of Bioengineering, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
- Biomechatronics Development Laboratory, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
- Rocky Mountain Veterans Affairs Medical Center (VAMC), Aurora, CO, USA
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16
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Stratford K, Haykal-Coates N, Thompson L, Farraj A, Hazari M. Early-life persistent vitamin D deficiency-induced cardiovascular dysfunction in mice is mediated by transient receptor potential C channels. J Steroid Biochem Mol Biol 2021; 206:105804. [PMID: 33338589 PMCID: PMC9152789 DOI: 10.1016/j.jsbmb.2020.105804] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 12/07/2020] [Accepted: 12/07/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Studies indicate that chronic vitamin D deficiency (VDD) may predispose to hypertension, yet, there is very little data characterizing its direct cardiac effects. Vitamin D modulates the function of transient receptor potential C cation channels (TRPC), which is a mechanosensitive cation channel that plays a role in cardiac slow-force responses to hemodynamic changes. The purpose of this study was to determine the cardiac effects of VDD and the potential role of TRPC. METHODS Three-week old mice were placed on a VDD or normal diet (ND) for 19 weeks. Mice were then implanted with radiotelemeters for the measurement of heart rate (HR) and heart rate variability (HRV), while a separate group was anesthetized to measure blood pressure (BP) and left ventricular function using an intraventricular probe. Animals were treated with a TRPC antagonist or vehicle after which they were challenged with dobutamine to measure cardiac responses. RESULTS VDD mice had significantly increased BP (72 ± 3 mmHg vs. 62 ± 2 mmHg) and left ventricular pressure (LVP) (84.6 ± 0.8 mmHg vs. 78.2 ± 2.0 mmHg), and decreased cardiac contractility (-3 % vs. + 11 %) and HR response (+8 % vs. + 13 %) to dobutamine when compared to ND. These responses were blocked by the TRPC antagonist. HRV decreased with increasing dobutamine doses in ND but not VDD mice, however, the antagonist had no effect. CONCLUSION VDD increases BP and alters cardiac mechanical function in mice, the latter appears to be mediated by TRPC, in particular TRPC6. Although the cardiac effects might be due to increased BP, it is likely that VDD also affects the function of the heart directly. This is the first study to demonstrate the potentially deleterious effects of VDD on cardiac function and the role of TRPC6 in this response.
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Affiliation(s)
- Kimberly Stratford
- Curriculum in Toxicology and Environmental Medicine, University of North Carolina - Chapel Hill, Chapel Hill, NC, 27599, United States
| | - Najwa Haykal-Coates
- Inhalation Toxicology Facilities Branch, Public Health and Integrated Toxicology Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, United States
| | - Leslie Thompson
- Cardiopulmonary and Immunotoxicology Branch, Public Health and Integrated Toxicology Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, United States
| | - Aimen Farraj
- Cardiopulmonary and Immunotoxicology Branch, Public Health and Integrated Toxicology Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, United States
| | - Mehdi Hazari
- Cardiopulmonary and Immunotoxicology Branch, Public Health and Integrated Toxicology Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, United States.
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17
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Selvaraju V, Phillips M, Fouty A, Babu JR, Geetha T. Telomere Length as a Biomarker for Race-Related Health Disparities. Genes (Basel) 2021; 12:78. [PMID: 33435482 PMCID: PMC7827404 DOI: 10.3390/genes12010078] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 01/04/2021] [Accepted: 01/07/2021] [Indexed: 12/21/2022] Open
Abstract
Disparities between the races have been well documented in health and disease in the USA. Recent studies show that telomere length, a marker of aging, is associated with obesity and obesity-related diseases, such as heart disease and diabetes. The current study aimed to evaluate the connection between telomere length ratio, blood pressure, and childhood obesity. The telomere length ratio was measured in 127 children from both European American (EA) and African American (AA) children, aged 6-10 years old. AA children had a significantly high relative telomere to the single copy gene (T/S) ratio compared to EA children. There was no significant difference in the T/S ratio between normal weight (NW) and overweight/obese (OW/OB) groups of either race. Blood pressure was significantly elevated in AA children with respect to EA children. Hierarchical regression analysis adjusted for race, gender, and age expressed a significant relationship between the T/S ratio and diastolic pressure. Low T/S ratio participants showed a significant increase in systolic pressure, while a high T/S ratio group showed an increase in diastolic pressure and heart rate of AA children. In conclusion, our findings show that AA children have high T/S ratio compared to EA children. The high T/S ratio is negatively associated with diastolic pressure.
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Affiliation(s)
- Vaithinathan Selvaraju
- Department of Nutrition, Dietetics, and Hospitality Management, Auburn University, Auburn, AL 36849, USA; (V.S.); (M.P.); (A.F.); (J.R.B.)
| | - Megan Phillips
- Department of Nutrition, Dietetics, and Hospitality Management, Auburn University, Auburn, AL 36849, USA; (V.S.); (M.P.); (A.F.); (J.R.B.)
| | - Anna Fouty
- Department of Nutrition, Dietetics, and Hospitality Management, Auburn University, Auburn, AL 36849, USA; (V.S.); (M.P.); (A.F.); (J.R.B.)
| | - Jeganathan Ramesh Babu
- Department of Nutrition, Dietetics, and Hospitality Management, Auburn University, Auburn, AL 36849, USA; (V.S.); (M.P.); (A.F.); (J.R.B.)
- Boshell Metabolic Diseases and Diabetes Program, Auburn University, Auburn, AL 36849, USA
| | - Thangiah Geetha
- Department of Nutrition, Dietetics, and Hospitality Management, Auburn University, Auburn, AL 36849, USA; (V.S.); (M.P.); (A.F.); (J.R.B.)
- Boshell Metabolic Diseases and Diabetes Program, Auburn University, Auburn, AL 36849, USA
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18
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Woo SH, Trinh TN. P2 Receptors in Cardiac Myocyte Pathophysiology and Mechanotransduction. Int J Mol Sci 2020; 22:ijms22010251. [PMID: 33383710 PMCID: PMC7794727 DOI: 10.3390/ijms22010251] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 12/22/2020] [Accepted: 12/22/2020] [Indexed: 12/30/2022] Open
Abstract
ATP is a major energy source in the mammalian cells, but it is an extracellular chemical messenger acting on P2 purinergic receptors. A line of evidence has shown that ATP is released from many different types of cells including neurons, endothelial cells, and muscle cells. In this review, we described the distribution of P2 receptor subtypes in the cardiac cells and their physiological and pathological roles in the heart. So far, the effects of external application of ATP or its analogues, and those of UTP on cardiac contractility and rhythm have been reported. In addition, specific genetic alterations and pharmacological agonists and antagonists have been adopted to discover specific roles of P2 receptor subtypes including P2X4-, P2X7-, P2Y2- and P2Y6-receptors in cardiac cells under physiological and pathological conditions. Accumulated data suggest that P2X4 receptors may play a beneficial role in cardiac muscle function, and that P2Y2- and P2Y6-receptors can induce cardiac fibrosis. Recent evidence further demonstrates P2Y1 receptor and P2X4 receptor as important mechanical signaling molecules to alter membrane potential and Ca2+ signaling in atrial myocytes and their uneven expression profile between right and left atrium.
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19
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Kang GJ, Xie A, Liu H, Dudley SC. MIR448 antagomir reduces arrhythmic risk after myocardial infarction by upregulating the cardiac sodium channel. JCI Insight 2020; 5:140759. [PMID: 33108349 PMCID: PMC7714400 DOI: 10.1172/jci.insight.140759] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 10/21/2020] [Indexed: 12/17/2022] Open
Abstract
Cardiac ischemia is associated with arrhythmias; however, effective therapies are currently limited. The cardiac voltage-gated sodium channel α subunit (SCN5A), encoding the Nav1.5 current, plays a key role in the cardiac electrical conduction and arrhythmic risk. Here, we show that hypoxia reduces Nav1.5 through effects on a miR, miR-448. miR-448 expression is increased in ischemic cardiomyopathy. miR-448 has a conserved binding site in 3′-UTR of SCN5A. miR-448 binding to this site suppressed SCN5A expression and sodium currents. Hypoxia-induced HIF-1α and NF-κB were major transcriptional regulators for MIR448. Moreover, hypoxia relieved MIR448 transcriptional suppression by RE1 silencing transcription factor. Therefore, miR-448 inhibition reduced arrhythmic risk after myocardial infarction. Here, we show that ischemia drove miR-448 expression, reduced Nav1.5 current, and increased arrhythmic risk. Arrhythmic risk was improved by preventing Nav1.5 downregulation, suggesting a new approach to antiarrhythmic therapy. Ischemic induction of miR-448 negatively regulates the cardiac sodium channel Nav1.5, and inhibiting miR-448 raises Nav1.5 and reduces arrhythmic risk after myocardial infarction in mice.
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20
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Aoki T, Itoh M, Chiba A, Kuwahara M, Nogami H, Ishizaki H, Yayou KI. Heart rate variability in dairy cows with postpartum fever during night phase. PLoS One 2020; 15:e0242856. [PMID: 33237968 PMCID: PMC7688159 DOI: 10.1371/journal.pone.0242856] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 11/10/2020] [Indexed: 11/19/2022] Open
Abstract
Autonomic nervous function evaluated by heart rate variability (HRV) and blood characteristics were compared between Holstein Friesian cows that developed postpartum fever (PF; n = 5) and clinically healthy (CH; n = 6) puerperal cows in this case-control study. A cow was defined as having PF when its rectal temperature rose to ≥39.5°C between 1 and 3 days postpartum. We recorded electrocardiograms during this period using a Holter-type electrocardiograph and applied power spectral analysis of HRV. Comparisons between the groups were analyzed by t test or Mann-Whitney U test, and the relationship between rectal temperature and each parameter was analyzed using multiple regression analysis. Heart rate was higher in PF cows than in CH cows (Mean ± SE, 103.3 ± 2.7 vs. 91.5 ± 1.7 bpm). This result suggested that PF cows had a relatively dominant sympathetic nervous function. Total (44,472 ± 2,301 vs. 55,373 ± 1,997 ms) and low frequency power (24.5 ± 3.8 vs. 39.9 ± 5.3 ms) were lower in PF cows than in CH cows. These findings were possibly caused by a reduction in autonomic nervous function. The total white blood cell count (54.3 ± 5.1 vs. 84.5 ± 6.4 ×102/μL) and the serum magnesium (2.1 ± 0.1 vs. 2.4 ± 0.1 mg/dL) and iron (81.5 ± 8.0 vs. 134.4 ± 9.1 μg/dL) concentrations were lower and the serum amyloid A concentration (277 ± 33 vs. 149 ± 21 μg/mL) was higher in PF cows than in CH cows. These results imply that more inflammation was present in PF cows than in CH cows. Multiple regression analysis showed that both of low frequency power and concentration of serum iron were associated with rectal temperature. We found differences in changes in hematologic results, biochemical findings, and HRV patterns between PF cows and CH cows.
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Affiliation(s)
- Takahiro Aoki
- Department of Veterinary Medicine, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Japan
- * E-mail:
| | - Megumi Itoh
- Department of Veterinary Medicine, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Japan
| | - Akiko Chiba
- Department of Veterinary Medicine, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Japan
| | - Masayoshi Kuwahara
- Department of Veterinary Pathophysiology and Animal Health, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
| | | | - Hiroshi Ishizaki
- Division of Grassland Farming, Institute of Livestock and Grassland Science, National Agriculture and Food Research Organization (NARO), Nasushiobara, Japan
| | - Ken-Ichi Yayou
- Division of Animal Environment and Waste Management Research, Institute of Livestock and Grassland Science, NARO, Tsukuba, Japan
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21
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Petkova M, Atkinson AJ, Yanni J, Stuart L, Aminu AJ, Ivanova AD, Pustovit KB, Geragthy C, Feather A, Li N, Zhang Y, Oceandy D, Perde F, Molenaar P, D’Souza A, Fedorov VV, Dobrzynski H. Identification of Key Small Non-Coding MicroRNAs Controlling Pacemaker Mechanisms in the Human Sinus Node. J Am Heart Assoc 2020; 9:e016590. [PMID: 33059532 PMCID: PMC7763385 DOI: 10.1161/jaha.120.016590] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 08/27/2020] [Indexed: 01/01/2023]
Abstract
Background The sinus node (SN) is the primary pacemaker of the heart. SN myocytes possess distinctive action potential morphology with spontaneous diastolic depolarization because of a unique expression of ion channels and Ca2+-handling proteins. MicroRNAs (miRs) inhibit gene expression. The role of miRs in controlling the expression of genes responsible for human SN pacemaking and conduction has not been explored. The aim of this study was to determine miR expression profile of the human SN as compared with that of non-pacemaker atrial muscle. Methods and Results SN and atrial muscle biopsies were obtained from donor or post-mortem hearts (n=10), histology/immunolabeling were used to characterize the tissues, TaqMan Human MicroRNA Arrays were used to measure 754 miRs, Ingenuity Pathway Analysis was used to identify miRs controlling SN pacemaker gene expression. Eighteen miRs were significantly more and 48 significantly less abundant in the SN than atrial muscle. The most interesting miR was miR-486-3p predicted to inhibit expression of pacemaking channels: HCN1 (hyperpolarization-activated cyclic nucleotide-gated 1), HCN4, voltage-gated calcium channel (Cav)1.3, and Cav3.1. A luciferase reporter gene assay confirmed that miR-486-3p can control HCN4 expression via its 3' untranslated region. In ex vivo SN preparations, transfection with miR-486-3p reduced the beating rate by ≈35±5% (P<0.05) and HCN4 expression (P<0.05). Conclusions The human SN possesses a unique pattern of expression of miRs predicted to target functionally important genes. miR-486-3p has an important role in SN pacemaker activity by targeting HCN4, making it a potential target for therapeutic treatment of SN disease such as sinus tachycardia.
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Affiliation(s)
- Maria Petkova
- Division of Cardiovascular SciencesUniversity of ManchesterUnited Kingdom
| | - Andrew J. Atkinson
- Division of Cardiovascular SciencesUniversity of ManchesterUnited Kingdom
| | - Joseph Yanni
- Division of Cardiovascular SciencesUniversity of ManchesterUnited Kingdom
| | - Luke Stuart
- Division of Cardiovascular SciencesUniversity of ManchesterUnited Kingdom
| | - Abimbola J. Aminu
- Division of Cardiovascular SciencesUniversity of ManchesterUnited Kingdom
| | - Alexandra D. Ivanova
- Department of Human and Animal PhysiologyLomonosov Moscow State UniversityMoscowRussia
| | - Ksenia B. Pustovit
- Department of Human and Animal PhysiologyLomonosov Moscow State UniversityMoscowRussia
| | - Connor Geragthy
- Division of Cardiovascular SciencesUniversity of ManchesterUnited Kingdom
| | - Amy Feather
- Division of Cardiovascular SciencesUniversity of ManchesterUnited Kingdom
| | - Ning Li
- Physiology and Cell Biology DepartmentThe Bob and Corrine Frick Center for Heart Failure and ArrhythmiaThe Ohio State University Wexner Medical CenterColumbusOH
| | - Yu Zhang
- Division of Cardiovascular SciencesUniversity of ManchesterUnited Kingdom
| | - Delvac Oceandy
- Division of Cardiovascular SciencesUniversity of ManchesterUnited Kingdom
| | - Filip Perde
- National Institute of Legal MedicineBucharestRomania
| | - Peter Molenaar
- School of Biomedical SciencesQueensland University of TechnologyBrisbaneAustralia
- Cardiovascular Molecular & Therapeutics Translational Research GroupThe Prince Charles HospitalBrisbaneAustralia
| | - Alicia D’Souza
- Division of Cardiovascular SciencesUniversity of ManchesterUnited Kingdom
| | - Vadim V. Fedorov
- Physiology and Cell Biology DepartmentThe Bob and Corrine Frick Center for Heart Failure and ArrhythmiaThe Ohio State University Wexner Medical CenterColumbusOH
| | - Halina Dobrzynski
- Division of Cardiovascular SciencesUniversity of ManchesterUnited Kingdom
- Department of AnatomyJagiellonian University Medical CollegeKrakowPoland
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Holthoff HP, Uhland K, Kovacs GL, Reimann A, Adler K, Wenhart C, Ungerer M. Thyroid-stimulating hormone receptor (TSHR) fusion proteins in Graves' disease. J Endocrinol 2020; 246:135-147. [PMID: 32573180 DOI: 10.1530/joe-20-0061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Graves' disease is an autoimmune disorder, which is characterized by stimulatory antibodies targeting the human thyrotropin receptor (TSHR), resulting in hyperthyroidism and multiple organ damage. We systematically investigated monomeric and dimeric fusion proteins of the A subunit of TSHR for efficacy to bind to the monoclonal patient antibody M22, to interact with Graves' patient serum samples, and to impact on anti-TSHR antibody titers, hyperthyroidism, tachycardia and other in vivo read-outs in a long-term mouse model of Graves' disease induced by immunization with a recombinant adenovirus encoding TSHR A. Binding assays and functional measurements of TSHR-dependent cAMP formation showed binding of monomeric TSHR-His and dimeric TSHR-Fc to the anti-TSHR antibody M22 at low-effective concentrations (EC50 of 5.7 nmol/L and 8.6 nmol/L) and inhibition of the effects of this antibody at high efficiencies (IC50 values of 16-20 nmol/L). Both proteins also block the effects of polyclonal anti-TSHR antibodies occurring in Graves' patient sera with somewhat lower average efficiencies (mean IC50 values of 29 nmol/L and 68 nmol/L). However, in vivo characterization of epicutaneous patch administrations of TSHR-Fc at doses of 0.3 and 0.6 mg/kg body weight in a murine Graves' disease model did not result in any improvement of disease parameters. In conclusion, high affinity binding of TSHR-Fc to pathological anti-TSHR antibodies was not matched by efficacy to improve Graves' disease parameter in a long-term mouse model.
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Affiliation(s)
| | | | - Gabor Laszlo Kovacs
- 1st Department of Internal Medicine, Flor Ferenc Hospital, Kistarcsa, Hungary
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Legault MA, Sandoval J, Provost S, Barhdadi A, Lemieux Perreault LP, Shah S, Lumbers RT, de Denus S, Tyl B, Tardif JC, Dubé MP. A genetic model of ivabradine recapitulates results from randomized clinical trials. PLoS One 2020; 15:e0236193. [PMID: 32692755 PMCID: PMC7373274 DOI: 10.1371/journal.pone.0236193] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 06/30/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Naturally occurring human genetic variants provide a valuable tool to identify drug targets and guide drug prioritization and clinical trial design. Ivabradine is a heart rate lowering drug with protective effects on heart failure despite increasing the risk of atrial fibrillation. In patients with coronary artery disease without heart failure, the drug does not protect against major cardiovascular adverse events prompting questions about the ability of genetics to have predicted those effects. This study evaluates the effect of a variant in HCN4, ivabradine's drug target, on safety and efficacy endpoints. METHODS We used genetic association testing and Mendelian randomization to predict the effect of ivabradine and heart rate lowering on cardiovascular outcomes. RESULTS Using data from the UK Biobank and large GWAS consortia, we evaluated the effect of a heart rate-reducing genetic variant at the HCN4 locus encoding ivabradine's drug target. These genetic association analyses showed increases in risk for atrial fibrillation (OR 1.09, 95% CI: 1.06-1.13, P = 9.3 ×10-9) in the UK Biobank. In a cause-specific competing risk model to account for the increased risk of atrial fibrillation, the HCN4 variant reduced incident heart failure in participants that did not develop atrial fibrillation (HR 0.90, 95% CI: 0.83-0.98, P = 0.013). In contrast, the same heart rate reducing HCN4 variant did not prevent a composite endpoint of myocardial infarction or cardiovascular death (OR 0.99, 95% CI: 0.93-1.04, P = 0.61). CONCLUSION Genetic modelling of ivabradine recapitulates its benefits in heart failure, promotion of atrial fibrillation, and neutral effect on myocardial infarction.
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Affiliation(s)
- Marc-André Legault
- Montreal Heart Institute, Montreal, Canada
- Department of biochemistry and molecular medicine, Université de Montréal, Montreal, Canada
- Université de Montréal Beaulieu-Saucier Pharmacogenomics Centre, Montreal, Canada
| | - Johanna Sandoval
- Montreal Heart Institute, Montreal, Canada
- Université de Montréal Beaulieu-Saucier Pharmacogenomics Centre, Montreal, Canada
| | - Sylvie Provost
- Montreal Heart Institute, Montreal, Canada
- Université de Montréal Beaulieu-Saucier Pharmacogenomics Centre, Montreal, Canada
| | - Amina Barhdadi
- Montreal Heart Institute, Montreal, Canada
- Université de Montréal Beaulieu-Saucier Pharmacogenomics Centre, Montreal, Canada
| | | | - Sonia Shah
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - R Thomas Lumbers
- Institute of Health Informatics, University College London, London, United Kingdom
- Health Data Research UK London, University College London, London, United Kingdom
- Bart's Heart Centre, St. Bartholomew's Hospital, London, United Kingdom
| | - Simon de Denus
- Montreal Heart Institute, Montreal, Canada
- Faculty of Pharmacy, Université de Montréal, Montreal, Canada
| | - Benoit Tyl
- Cardiovascular Center for Therapeutic Innovation, Institut de Recherches Internationales Servier, Suresnes, France
| | - Jean-Claude Tardif
- Montreal Heart Institute, Montreal, Canada
- Department of medicine, Université de Montréal, Montreal, Canada
| | - Marie-Pierre Dubé
- Montreal Heart Institute, Montreal, Canada
- Université de Montréal Beaulieu-Saucier Pharmacogenomics Centre, Montreal, Canada
- Department of medicine, Université de Montréal, Montreal, Canada
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Huang S, Chen B, Humeres C, Alex L, Hanna A, Frangogiannis NG. The role of Smad2 and Smad3 in regulating homeostatic functions of fibroblasts in vitro and in adult mice. Biochim Biophys Acta Mol Cell Res 2020; 1867:118703. [PMID: 32179057 PMCID: PMC7261645 DOI: 10.1016/j.bbamcr.2020.118703] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 02/25/2020] [Accepted: 03/10/2020] [Indexed: 02/06/2023]
Abstract
The heart contains an abundant fibroblast population that may play a role in homeostasis, by maintaining the extracellular matrix (ECM) network, by regulating electrical impulse conduction, and by supporting survival and function of cardiomyocytes and vascular cells. Despite an explosion in our understanding of the role of fibroblasts in cardiac injury, the homeostatic functions of resident fibroblasts in adult hearts remain understudied. TGF-β-mediated signaling through the receptor-activated Smads, Smad2 and Smad3 critically regulates fibroblast function. We hypothesized that baseline expression of Smad2/3 in fibroblasts may play an important role in cardiac homeostasis. Smad2 and Smad3 were constitutively expressed in normal mouse hearts and in cardiac fibroblasts. In cultured cardiac fibroblasts, Smad2 and Smad3 played distinct roles in regulation of baseline ECM gene synthesis. Smad3 knockdown attenuated collagen I, collagen IV and fibronectin mRNA synthesis and reduced expression of the matricellular protein thrombospondin-1. Smad2 knockdown on the other hand attenuated expression of collagen V mRNA and reduced synthesis of fibronectin, periostin and versican. In vivo, inducible fibroblast-specific Smad2 knockout mice and fibroblast-specific Smad3 knockout mice had normal heart rate, preserved cardiac geometry, ventricular systolic and diastolic function, and normal myocardial structure. Fibroblast-specific Smad3, but not Smad2 loss modestly but significantly reduced collagen content. Our findings suggest that fibroblast-specific Smad3, but not Smad2, may play a role in regulation of baseline collagen synthesis in adult hearts. However, at least short term, these changes do not have any impact on homeostatic cardiac function.
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Affiliation(s)
- Shuaibo Huang
- The Wilf Family Cardiovascular Research Institute, Department of Medicine (Cardiology), Albert Einstein College of Medicine, Bronx, NY, United States of America
| | - Bijun Chen
- The Wilf Family Cardiovascular Research Institute, Department of Medicine (Cardiology), Albert Einstein College of Medicine, Bronx, NY, United States of America
| | - Claudio Humeres
- The Wilf Family Cardiovascular Research Institute, Department of Medicine (Cardiology), Albert Einstein College of Medicine, Bronx, NY, United States of America
| | - Linda Alex
- The Wilf Family Cardiovascular Research Institute, Department of Medicine (Cardiology), Albert Einstein College of Medicine, Bronx, NY, United States of America
| | - Anis Hanna
- The Wilf Family Cardiovascular Research Institute, Department of Medicine (Cardiology), Albert Einstein College of Medicine, Bronx, NY, United States of America
| | - Nikolaos G Frangogiannis
- The Wilf Family Cardiovascular Research Institute, Department of Medicine (Cardiology), Albert Einstein College of Medicine, Bronx, NY, United States of America.
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25
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Yao Y, Liu Y, Zeng Z, Zhao Y, Li T, Chen R, Zhang R. Identification of Target Genes of Antiarrhythmic Traditional Chinese Medicine Wenxin Keli. Cardiovasc Ther 2020; 2020:3480276. [PMID: 32565909 PMCID: PMC7284932 DOI: 10.1155/2020/3480276] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 11/16/2019] [Accepted: 01/11/2020] [Indexed: 01/15/2023] Open
Abstract
Wenxin Keli (WXKL) is a traditional Chinese medicine drug approved for the treatment of cardiovascular diseases. This study aimed to identify WXKL-targeting genes involved in antiarrhythmic efficacy of WXKL. The Traditional Chinese Medicine Systems Pharmacology (TCMSP) technology platform was used to screen active compounds of WXKL and WXKL-targeting arrhythmia-related genes. A pig model of myocardial ischemia (MI) was established by balloon-expanding the endothelium of the left coronary artery. Pigs were divided into the model group and WXKL group (n = 6). MI, QT interval, heart rate, and arrhythmia were recorded, and the mRNA expression of target genes in myocardial tissues was detected by PCR. Eleven active ingredients of WXKL and eight WXKL-targeting arrhythmia-related genes were screened. Five pathways were enriched, and an "ingredient-gene-path" network was constructed. WXKL markedly decreased the incidence of arrhythmia in the MI pig model (P < 0.05). The QT interval was significantly shortened, and the heart rate was slowed down in the WXKL group compared with the model group (P < 0.05). In addition, the expression of sodium channel protein type 5 subunit alpha (SCN5A) and beta-2 adrenergic receptor (ADRB2) was downregulated, while muscarinic acetylcholine receptor M2 (CHRM2) was upregulated in the WXKL group (P < 0.05). In conclusion, WXKL may shorten the QT interval and slow down the heart rate by downregulating SCN5A and ADRB2 and upregulating CHRM2 during MI. These findings provide novel insight into molecular mechanisms of WXKL in reducing the incidence of ventricular arrhythmia.
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MESH Headings
- Action Potentials/drug effects
- Action Potentials/genetics
- Animals
- Anti-Arrhythmia Agents/pharmacology
- Arrhythmias, Cardiac/genetics
- Arrhythmias, Cardiac/metabolism
- Arrhythmias, Cardiac/physiopathology
- Arrhythmias, Cardiac/prevention & control
- Disease Models, Animal
- Drugs, Chinese Herbal/pharmacology
- Gene Expression Regulation
- Gene Regulatory Networks
- Heart Rate/drug effects
- Heart Rate/genetics
- Male
- Medicine, Chinese Traditional
- Myocardial Ischemia/drug therapy
- Myocardial Ischemia/genetics
- Myocardial Ischemia/metabolism
- Myocardial Ischemia/physiopathology
- NAV1.5 Voltage-Gated Sodium Channel/genetics
- NAV1.5 Voltage-Gated Sodium Channel/metabolism
- Protein Interaction Maps
- Receptor, Muscarinic M2/genetics
- Receptor, Muscarinic M2/metabolism
- Receptors, Adrenergic, beta-2/genetics
- Receptors, Adrenergic, beta-2/metabolism
- Swine
- Swine, Miniature
- Time Factors
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Affiliation(s)
- Yusi Yao
- Department of Cardiovascular Diseases, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong 510080, China
| | - Yuhong Liu
- Department of Cardiovascular Diseases, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong 510080, China
| | - Zhihuan Zeng
- Department of Cardiovascular Diseases, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong 510080, China
| | - Yanqun Zhao
- Department of Cardiovascular Diseases, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong 510080, China
| | - Tudi Li
- Department of Cardiovascular Diseases, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong 510080, China
| | - Rong Chen
- Department of Cardiovascular Diseases, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong 510080, China
| | - Rendan Zhang
- Department of Cardiovascular Diseases, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong 510080, China
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Long T, Wang J, Han X, Wang F, Hu H, Yu C, Yuan J, Yao P, Wei S, Wang Y, Liang Y, Miao X, Zhang X, Guo H, Zheng D, Tang Y, Yang H, Huang S, He M. Association between resting heart rate and incident diabetes risk: a Mendelian randomization study. Acta Diabetol 2019; 56:1037-1044. [PMID: 30989380 DOI: 10.1007/s00592-019-01344-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 04/08/2019] [Indexed: 01/19/2023]
Abstract
AIMS Observational studies indicated that resting heart rate (RHR) was associated with diabetes mellitus (DM) risk; however, it remains unclear whether the association between RHR and DM is causal. We aimed to examine whether there was causal association of RHR with DM risk. METHODS A prospective study including 16,201 middle-aged and older Chinese (7031 males and 9170 females) derived from the Dongfeng-Tongji cohort was performed. Cox proportional hazard regression models were conducted to estimate the associations between RHR and incident DM risk. In 7481 participants, 65 single nucleotide polymorphisms related to RHR were genotyped. A genetic risk score (GRS) of RHR was calculated based on the RHR-associated variants. The causal associations of RHR with DM risk were investigated by Mendelian randomization analysis. RESULTS During a mean (SD) follow-up of 4.5 (0.5) years, 1110 diabetes were identified. Compared with the referential RHR group (≤ 60 beats per minute [bpm]), individuals with RHR > 80 bpm have a higher incident diabetes risk, with a hazard ratio of 1.40 (95% confidence interval [CI], 1.05-1.88). With per SD increase in the weighted genetic risk score, the resting heart rate increased by 0.71 bpm (95% CI 0.49-0.93). By using the GRS to estimate the unconfounded effect, we found that higher resting heart rate did not have a causal effect on diabetes risk (OR 1.00 [95% CI 0.95-1.05]). CONCLUSIONS The present study supported a positive but not a causal association of RHR with incident diabetes risk. More studies are needed to verify our findings.
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Affiliation(s)
- Tengfei Long
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Jing Wang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Xu Han
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Fei Wang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Hua Hu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Caizheng Yu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Jing Yuan
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Ping Yao
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Sheng Wei
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Youjie Wang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Yuan Liang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Xiaoping Miao
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Huan Guo
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Dan Zheng
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Yuhan Tang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Handong Yang
- Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, Hubei, China
| | - Suli Huang
- Department of Molecular Epidemiology, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Meian He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China.
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Evans KL, Wirtz HS, Li J, She R, Maya J, Gui H, Hamer A, Depre C, Lanfear DE. Genetics of heart rate in heart failure patients (GenHRate). Hum Genomics 2019; 13:22. [PMID: 31113495 PMCID: PMC6528282 DOI: 10.1186/s40246-019-0206-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 04/22/2019] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Elevated resting heart rate (HR) is a risk factor and therapeutic target in patients with heart failure (HF) and reduced ejection fraction (HFrEF). Previous studies indicate a genetic contribution to HR in population samples but there is little data in patients with HFrEF. METHODS Patients who met Framingham criteria for HF and had an ejection fraction < 50% were prospectively enrolled in a genetic HF registry (2007-2015, n = 1060). All participants donated blood for DNA and underwent genome-wide genotyping with additional variants called via imputation. We performed testing of previously identified variant "hits" (43 loci) as well as a genome-wide association (GWAS) of HR, adjusted for race, using Efficient Mixed-Model Association Expedited (EMMAX). RESULTS The cohort was 35% female, 51% African American, and averaged 68 years of age. There was a 2 beats per minute (bpm) difference in HR by race, AA being slightly higher. Among 43 candidate variants, 4 single nucleotide polymorphisms (SNPs) in one gene (GJA1) were significantly associated with HR. In genome-wide testing, one statistically significant association peak was identified on chromosome 22q13, with strongest SNP rs535263906 (p = 3.3 × 10-8). The peak is located within the gene Cadherin EGF LAG Seven-Pass G-Type Receptor 1 (CELSR1), encoding a cadherin super-family cell surface protein identified in GWAS of other phenotypes (e.g., stroke). The highest associated SNP was specific to the African American population. CONCLUSIONS These data confirm GJA1 association with HR in the setting of HFrEF and identify novel candidate genes for HR in HFrEF patients, particularly CELSR1. These associations should be tested in additional cohorts.
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Affiliation(s)
- Kaleigh L. Evans
- 0000 0001 2160 8953grid.413103.4Department of Internal Medicine, Henry Ford Hospital, 2799 West Grand Blvd. K-14, Detroit, MI 48202 USA
| | - Heidi S. Wirtz
- 0000 0001 0657 5612grid.417886.4Amgen Inc, Thousand Oaks, CA USA
| | - Jia Li
- 0000 0000 8523 7701grid.239864.2Department of Public Health Sciences, Henry Ford Health System, Detroit, MI USA
| | - Ruicong She
- 0000 0000 8523 7701grid.239864.2Department of Public Health Sciences, Henry Ford Health System, Detroit, MI USA
| | - Juan Maya
- 0000 0001 0657 5612grid.417886.4Amgen Inc, Thousand Oaks, CA USA
| | - Hongsheng Gui
- 0000 0001 2160 8953grid.413103.4Center for Individualized and Genomic Medicine Research, Henry Ford Hospital, Detroit, MI USA
| | - Andrew Hamer
- 0000 0001 0657 5612grid.417886.4Amgen Inc, Thousand Oaks, CA USA
| | - Christophe Depre
- 0000 0001 0657 5612grid.417886.4Amgen Inc, Thousand Oaks, CA USA
| | - David E. Lanfear
- 0000 0001 2160 8953grid.413103.4Department of Internal Medicine, Henry Ford Hospital, 2799 West Grand Blvd. K-14, Detroit, MI 48202 USA
- 0000 0001 2160 8953grid.413103.4Center for Individualized and Genomic Medicine Research, Henry Ford Hospital, Detroit, MI USA
- 0000 0001 2160 8953grid.413103.4Heart and Vascular Institute, Henry Ford Hospital, Detroit, MI USA
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Xiao C, Liu N, Jacobson KA, Gavrilova O, Reitman ML. Physiology and effects of nucleosides in mice lacking all four adenosine receptors. PLoS Biol 2019; 17:e3000161. [PMID: 30822301 PMCID: PMC6415873 DOI: 10.1371/journal.pbio.3000161] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 03/13/2019] [Accepted: 02/07/2019] [Indexed: 11/29/2022] Open
Abstract
Adenosine is a constituent of many molecules of life; increased free extracellular adenosine indicates cell damage or metabolic stress. The importance of adenosine signaling in basal physiology, as opposed to adaptive responses to danger/damage situations, is unclear. We generated mice lacking all four adenosine receptors (ARs), Adora1−/−;Adora2a−/−;Adora2b−/−;Adora3−/− (quad knockout [QKO]), to enable investigation of the AR dependence of physiologic processes, focusing on body temperature. The QKO mice demonstrate that ARs are not required for growth, metabolism, breeding, and body temperature regulation (diurnal variation, response to stress, and torpor). However, the mice showed decreased survival starting at about 15 weeks of age. While adenosine agonists cause profound hypothermia via each AR, adenosine did not cause hypothermia (or bradycardia or hypotension) in QKO mice, indicating that AR-independent signals do not contribute to adenosine-induced hypothermia. The hypothermia elicited by adenosine kinase inhibition (with A134974), inosine, or uridine also required ARs, as each was abolished in the QKO mice. The proposed mechanism for uridine-induced hypothermia is inhibition of adenosine transport by uridine, increasing local extracellular adenosine levels. In contrast, adenosine 5′-monophosphate (AMP)–induced hypothermia was attenuated in QKO mice, demonstrating roles for both AR-dependent and AR-independent mechanisms in this process. The physiology of the QKO mice appears to be the sum of the individual knockout mice, without clear evidence for synergy, indicating that the actions of the four ARs are generally complementary. The phenotype of the QKO mice suggests that, while extracellular adenosine is a signal of stress, damage, and/or danger, it is less important for baseline regulation of body temperature. A study of mice lacking all four adenosine receptors shows that while they mediate effects of uridine, inosine and adenosine, these receptors are dispensable for growth, metabolism, breeding, and body temperature regulation. This suggests that extracellular adenosine is a damage or danger signal, rather than a major regulator of baseline physiology. Elevated extracellular adenosine generally indicates metabolic stress or cell damage and regulates many aspects of physiology. We studied “QKO” mice lacking all four adenosine receptors. Young QKO mice do not appear obviously ill, but do show decreased survival later in life. QKO mice demonstrate that adenosine receptors are not required for growth, metabolism, breeding, and body temperature regulation. QKO mice are missing the pharmacologic effects of adenosine on body temperature, heart rate, and blood pressure. Therefore, all of these effects are mediated by the four adenosine receptors. We also determined that the hypothermic effects of a pharmacologic adenosine kinase inhibitor (A134974), uridine, or inosine each requires adenosine receptors. The uridine-induced hypothermia is likely due to its inhibition of adenosine uptake into cells. QKO mouse physiology appears to be the sum of the individual knockout mice, without evidence for synergy, indicating that the actions of the four adenosine receptors are generally complementary.
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Affiliation(s)
- Cuiying Xiao
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, United States of America
| | - Naili Liu
- Mouse Metabolism Core, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, United States of America
| | - Kenneth A. Jacobson
- Molecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, United States of America
| | - Oksana Gavrilova
- Mouse Metabolism Core, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, United States of America
| | - Marc L. Reitman
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, United States of America
- * E-mail:
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29
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Verdier C, Ruidavets JB, Genoux A, Combes G, Bongard V, Taraszkiewicz D, Galinier M, Elbaz M, Ferrières J, Martinez LO, Perret B. Common p2y 13 polymorphisms are associated with plasma inhibitory factor 1 and lipoprotein(a) concentrations, heart rate and body fat mass: The GENES study. Arch Cardiovasc Dis 2019; 112:124-134. [PMID: 30600215 DOI: 10.1016/j.acvd.2018.09.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 08/07/2018] [Accepted: 09/10/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND The P2Y13 purinergic receptor regulates hepatic high-density lipoprotein uptake and biliary sterol secretion; it acts downstream of the membrane ecto-F1-adenosine triphosphatase, which generates extracellular adenosine diphosphate that selectively activates P2Y13, resulting in high-density lipoprotein endocytosis. Previous studies have shown that the serum concentration of the F1-adenosine triphosphatase inhibitor inhibitory factor 1 is negatively associated with cardiovascular risk. AIM To evaluate whether p2y13 genetic variants affect cardiovascular risk. METHODS Direct sequencing of the p2y13 coding and flanking regions was performed in a subcohort of 168 men aged 45-74 years with stable coronary artery disease and 173 control subjects from the GENES study. The two most frequent mutations, rs3732757 and rs1466684, were genotyped in 767 patients with coronary artery disease and 789 control subjects, and their association with cardiovascular risk markers was analysed. RESULTS Carriers of the rs3732757 261T and rs1466684 557G alleles represented 9% and 27.5% of the entire population, respectively. The allele frequencies were identical in patients with coronary artery disease and control subjects. The presence of 261T was associated with higher concentrations of plasma lipoprotein A-I and inhibitory factor 1, increased fat mass and a lower heart rate. Moreover, the proportion of patients with coronary artery disease with a pejorative systolic ankle-brachial index was lower in carriers of the 261T allele. In both populations, the 557G allele was associated with increased concentrations of lipoprotein(a), and an allele dose effect was observed. CONCLUSIONS Two frequent p2y13 variants are associated with specific bioclinical markers of cardiovascular risk. Although neither one of these variants appears to be related to the development of atherosclerotic disease, they may modulate the risk of additional cardiovascular complications.
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Affiliation(s)
- Céline Verdier
- Inserm, UMR 1048, Institute of Metabolic and Cardiovascular Diseases, 31432 Toulouse, France; Paul Sabatier University, University of Toulouse, 31330 Toulouse, France; Service de biochimie, Pôle Biologie, Hôpital Purpan, CHU de Toulouse, 31300 Toulouse, France
| | - Jean-Bernard Ruidavets
- Paul Sabatier University, University of Toulouse, 31330 Toulouse, France; Inserm, UMR 1027, épidémiologie et analyse en santé publique, 31000 Toulouse, France; Department of Cardiology, hôpital de Rangueil, CHU de Toulouse, 31400 Toulouse, France
| | - Annelise Genoux
- Inserm, UMR 1048, Institute of Metabolic and Cardiovascular Diseases, 31432 Toulouse, France; Paul Sabatier University, University of Toulouse, 31330 Toulouse, France; Service de biochimie, Pôle Biologie, Hôpital Purpan, CHU de Toulouse, 31300 Toulouse, France
| | - Guillaume Combes
- Inserm, UMR 1048, Institute of Metabolic and Cardiovascular Diseases, 31432 Toulouse, France; Paul Sabatier University, University of Toulouse, 31330 Toulouse, France; Service de biochimie, Pôle Biologie, Hôpital Purpan, CHU de Toulouse, 31300 Toulouse, France
| | - Vanina Bongard
- Paul Sabatier University, University of Toulouse, 31330 Toulouse, France; Inserm, UMR 1027, épidémiologie et analyse en santé publique, 31000 Toulouse, France; Department of Cardiology, hôpital de Rangueil, CHU de Toulouse, 31400 Toulouse, France
| | - Dorota Taraszkiewicz
- Department of Cardiology, hôpital de Rangueil, CHU de Toulouse, 31400 Toulouse, France
| | - Michel Galinier
- Department of Cardiology, hôpital de Rangueil, CHU de Toulouse, 31400 Toulouse, France
| | - Meyer Elbaz
- Inserm, UMR 1048, Institute of Metabolic and Cardiovascular Diseases, 31432 Toulouse, France; Paul Sabatier University, University of Toulouse, 31330 Toulouse, France; Department of Cardiology, hôpital de Rangueil, CHU de Toulouse, 31400 Toulouse, France
| | - Jean Ferrières
- Paul Sabatier University, University of Toulouse, 31330 Toulouse, France; Inserm, UMR 1027, épidémiologie et analyse en santé publique, 31000 Toulouse, France; Department of Cardiology, hôpital de Rangueil, CHU de Toulouse, 31400 Toulouse, France
| | - Laurent O Martinez
- Inserm, UMR 1048, Institute of Metabolic and Cardiovascular Diseases, 31432 Toulouse, France; Paul Sabatier University, University of Toulouse, 31330 Toulouse, France.
| | - Bertrand Perret
- Inserm, UMR 1048, Institute of Metabolic and Cardiovascular Diseases, 31432 Toulouse, France; Paul Sabatier University, University of Toulouse, 31330 Toulouse, France; Service de biochimie, Pôle Biologie, Hôpital Purpan, CHU de Toulouse, 31300 Toulouse, France
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Clatot J, Zheng Y, Girardeau A, Liu H, Laurita KR, Marionneau C, Deschênes I. Mutant voltage-gated Na + channels can exert a dominant negative effect through coupled gating. Am J Physiol Heart Circ Physiol 2018; 315:H1250-H1257. [PMID: 30118344 PMCID: PMC6297814 DOI: 10.1152/ajpheart.00721.2017] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 07/13/2018] [Accepted: 08/08/2018] [Indexed: 11/22/2022]
Abstract
Mutations in voltage-gated Na+ channels have been linked to several channelopathies leading to a wide variety of diseases including cardiac arrhythmias, epilepsy, and myotonia. We have previously demonstrated that voltage-gated Na+ channel (Nav)1.5 trafficking-deficient mutant channels could lead to a dominant negative effect by impairing trafficking of the wild-type (WT) channel. We also reported that voltage-gated Na+ channels associate as dimers with coupled gating properties. Here, we hypothesized that the dominant negative effect of mutant Na+ channels could also occur through coupled gating. This was tested using cell surface biotinylation and single channel recordings to measure the gating probability and coupled gating of the dimers. As previously reported, coexpression of Nav1.5-L325R with WT channels led to a dominant negative effect, as reflected by a 75% reduction in current density. Surprisingly, cell surface biotinylation showed that Nav1.5-L325R mutant is capable of trafficking, with 40% of Nav1.5-L325R reaching the cell surface when expressed alone. Importantly, even though a dominant negative effect on the Na+ current is observed when WT and Nav1.5-L325R are expressed together, the total Nav channel cell surface expression was not significantly altered compared with WT channels alone. Thus, the trafficking deficiency could not explain the 75% decrease in inward Na+ current. Interestingly, single channel recordings showed that Nav1.5-L325R exerted a dominant negative effect on the WT channel at the gating level. Both coupled gating and gating probability of WT:L325R dimers were drastically impaired. We conclude that dominant negative suppression exerted by Nav1.5 mutants can also be caused by impairing the WT gating probability, a mechanism resulting from the dimerization and coupled gating of voltage-gated Na+ channel α-subunits. NEW & NOTEWORTHY The presence of dominant negative mutations in the Na+ channel gene leading to Brugada syndrome was supported by our recent findings that Na+ channel α-subunits form dimers. Up until now, the dominant negative effect was thought to be caused by the interaction of the wild-type Na+ channel with trafficking-deficient mutant channels. However, the present study demonstrates that coupled gating of voltage-gated Na+ channels can also be responsible for the dominant negative effect leading to arrhythmias.
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Affiliation(s)
- Jérôme Clatot
- Heart and Vascular Research Center, Department of Medicine, MetroHealth Campus, Case Western Reserve University , Cleveland, Ohio
| | - Yang Zheng
- Heart and Vascular Research Center, Department of Medicine, MetroHealth Campus, Case Western Reserve University , Cleveland, Ohio
| | - Aurore Girardeau
- L'Institut du Thorax, Institut National de la Santé et de la Recherche Médicale, Centre National de la Recherche Scientifique, Université de Nantes, Nantes , France
| | - Haiyan Liu
- Heart and Vascular Research Center, Department of Medicine, MetroHealth Campus, Case Western Reserve University , Cleveland, Ohio
| | - Kenneth R Laurita
- Heart and Vascular Research Center, Department of Medicine, MetroHealth Campus, Case Western Reserve University , Cleveland, Ohio
| | - Céline Marionneau
- L'Institut du Thorax, Institut National de la Santé et de la Recherche Médicale, Centre National de la Recherche Scientifique, Université de Nantes, Nantes , France
| | - Isabelle Deschênes
- Heart and Vascular Research Center, Department of Medicine, MetroHealth Campus, Case Western Reserve University , Cleveland, Ohio
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Kapil V, Rathod KS, Khambata RS, Bahra M, Velmurugan S, Purba A, S Watson D, Barnes MR, Wade WG, Ahluwalia A. Sex differences in the nitrate-nitrite-NO • pathway: Role of oral nitrate-reducing bacteria. Free Radic Biol Med 2018; 126:113-121. [PMID: 30031863 DOI: 10.1016/j.freeradbiomed.2018.07.010] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Revised: 06/15/2018] [Accepted: 07/18/2018] [Indexed: 01/22/2023]
Abstract
Oral reduction of nitrate to nitrite is dependent on the oral microbiome and is the first step of an alternative mammalian pathway to produce nitric oxide in humans. Preliminary evidence suggests important sex differences in this pathway. We prospectively investigated sex-differences following inorganic nitrate supplementation on nitrate/nitrite levels and vascular function, and separately examined sex differences in oral nitrate reduction, and oral microbiota by 16S rRNA profiling. At baseline, females exhibit higher nitrite levels in all biological matrices despite similar nitrate levels to males. Following inorganic nitrate supplementation, plasma nitrite was increased to a significantly greater extent in females than in males and pulse wave velocity was only reduced in females. Females exhibited higher oral bacterial nitrate-reducing activity at baseline and after nitrate supplementation. Despite these differences, there were no differences in the composition of either the total salivary microbiota or those oral taxa with nitrate reductase genes. Our results demonstrate that females have augmented oral nitrate reduction that contributes to higher nitrite levels at baseline and also after inorganic nitrate supplementation, however this was not associated with differences in microbial composition (clinicaltrials.gov: NCT01583803).
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Affiliation(s)
- Vikas Kapil
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Krishnaraj S Rathod
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Rayomand S Khambata
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Manpreet Bahra
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Shanti Velmurugan
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Amandeep Purba
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - David S Watson
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Michael R Barnes
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - William G Wade
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Newark Street, London E1 2AT, UK
| | - Amrita Ahluwalia
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
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Pan X, Philippen L, Lahiri SK, Lee C, Park SH, Word TA, Li N, Jarrett KE, Gupta R, Reynolds JO, Lin J, Bao G, Lagor WR, Wehrens XHT. In Vivo Ryr2 Editing Corrects Catecholaminergic Polymorphic Ventricular Tachycardia. Circ Res 2018; 123:953-963. [PMID: 30355031 PMCID: PMC6206886 DOI: 10.1161/circresaha.118.313369] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
RATIONALE Autosomal-dominant mutations in ryanodine receptor type 2 ( RYR2) are responsible for ≈60% of all catecholaminergic polymorphic ventricular tachycardia. Dysfunctional RyR2 subunits trigger inappropriate calcium leak from the tetrameric channel resulting in potentially lethal ventricular tachycardia. In vivo CRISPR/Cas9-mediated gene editing is a promising strategy that could be used to eliminate the disease-causing Ryr2 allele and hence rescue catecholaminergic polymorphic ventricular tachycardia. OBJECTIVE To determine if somatic in vivo genome editing using the CRISPR/Cas9 system delivered by adeno-associated viral (AAV) vectors could correct catecholaminergic polymorphic ventricular tachycardia arrhythmias in mice heterozygous for RyR2 mutation R176Q (R176Q/+). METHODS AND RESULTS Guide RNAs were designed to specifically disrupt the R176Q allele in the R176Q/+ mice using the SaCas9 ( Staphylococcus aureus Cas9) genome editing system. AAV serotype 9 was used to deliver Cas9 and guide RNA to neonatal mice by single subcutaneous injection at postnatal day 10. Strikingly, none of the R176Q/+ mice treated with AAV-CRISPR developed arrhythmias, compared with 71% of R176Q/+ mice receiving control AAV serotype 9. Total Ryr2 mRNA and protein levels were significantly reduced in R176Q/+ mice, but not in wild-type littermates. Targeted deep sequencing confirmed successful and highly specific editing of the disease-causing R176Q allele. No detectable off-target mutagenesis was observed in the wild-type Ryr2 allele or the predicted putative off-target site, confirming high specificity for SaCas9 in vivo. In addition, confocal imaging revealed that gene editing normalized the enhanced Ca2+ spark frequency observed in untreated R176Q/+ mice without affecting systolic Ca2+ transients. CONCLUSIONS AAV serotype 9-based delivery of the SaCas9 system can efficiently disrupt a disease-causing allele in cardiomyocytes in vivo. This work highlights the potential of somatic genome editing approaches for the treatment of lethal autosomal-dominant inherited cardiac disorders, such as catecholaminergic polymorphic ventricular tachycardia.
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Affiliation(s)
- Xiaolu Pan
- From the Cardiovascular Research Institute (X.P., L.P., S.K.L., T.A.W., N.L., J.O.R., J.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
- Department of Molecular Physiology and Biophysics (X.P., L.P., S.K.L., T.A.W., N.L., K.E.J., R.G., J.O.R., W.R.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
| | - Leonne Philippen
- From the Cardiovascular Research Institute (X.P., L.P., S.K.L., T.A.W., N.L., J.O.R., J.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
- Department of Molecular Physiology and Biophysics (X.P., L.P., S.K.L., T.A.W., N.L., K.E.J., R.G., J.O.R., W.R.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
| | - Satadru K Lahiri
- From the Cardiovascular Research Institute (X.P., L.P., S.K.L., T.A.W., N.L., J.O.R., J.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
- Department of Molecular Physiology and Biophysics (X.P., L.P., S.K.L., T.A.W., N.L., K.E.J., R.G., J.O.R., W.R.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
| | - Ciaran Lee
- Department of Bioengineering, Rice University, Houston, TX (C.L., S.H.P., G.B.)
| | - So Hyun Park
- Department of Bioengineering, Rice University, Houston, TX (C.L., S.H.P., G.B.)
| | - Tarah A Word
- From the Cardiovascular Research Institute (X.P., L.P., S.K.L., T.A.W., N.L., J.O.R., J.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
- Department of Molecular Physiology and Biophysics (X.P., L.P., S.K.L., T.A.W., N.L., K.E.J., R.G., J.O.R., W.R.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
| | - Na Li
- From the Cardiovascular Research Institute (X.P., L.P., S.K.L., T.A.W., N.L., J.O.R., J.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
- Department of Molecular Physiology and Biophysics (X.P., L.P., S.K.L., T.A.W., N.L., K.E.J., R.G., J.O.R., W.R.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
- Department of Medicine/Cardiology (N.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
| | - Kelsey E Jarrett
- Department of Molecular Physiology and Biophysics (X.P., L.P., S.K.L., T.A.W., N.L., K.E.J., R.G., J.O.R., W.R.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
| | - Rajat Gupta
- Department of Molecular Physiology and Biophysics (X.P., L.P., S.K.L., T.A.W., N.L., K.E.J., R.G., J.O.R., W.R.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
| | - Julia O Reynolds
- From the Cardiovascular Research Institute (X.P., L.P., S.K.L., T.A.W., N.L., J.O.R., J.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
- Department of Molecular Physiology and Biophysics (X.P., L.P., S.K.L., T.A.W., N.L., K.E.J., R.G., J.O.R., W.R.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
| | - Jean Lin
- From the Cardiovascular Research Institute (X.P., L.P., S.K.L., T.A.W., N.L., J.O.R., J.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
| | - Gang Bao
- Department of Bioengineering, Rice University, Houston, TX (C.L., S.H.P., G.B.)
| | - William R Lagor
- Department of Molecular Physiology and Biophysics (X.P., L.P., S.K.L., T.A.W., N.L., K.E.J., R.G., J.O.R., W.R.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
| | - Xander H T Wehrens
- From the Cardiovascular Research Institute (X.P., L.P., S.K.L., T.A.W., N.L., J.O.R., J.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
- Department of Molecular Physiology and Biophysics (X.P., L.P., S.K.L., T.A.W., N.L., K.E.J., R.G., J.O.R., W.R.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
- Department of Medicine/Cardiology (N.L., X.H.T.W.), Baylor College of Medicine, Houston, TX
- Department of Pediatrics (X.H.T.W.), Baylor College of Medicine, Houston, TX
- Center for Space Medicine (X.H.T.W.), Baylor College of Medicine, Houston, TX
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Rani U, Praveen Kumar KS, Munisamaiah M, Rajesh D, Balakrishna S. Atrial fibrillation associated genetic variation near PITX2 gene increases the risk of preeclampsia. Pregnancy Hypertens 2018; 13:214-217. [PMID: 30177054 DOI: 10.1016/j.preghy.2018.06.023] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Revised: 06/20/2018] [Accepted: 06/30/2018] [Indexed: 11/24/2022]
Abstract
OBJECTIVES SNP rs2200733 located near PITX2 gene is associated with the risk of atrial fibrillation. Preeclamptic women are at increased risk of developing cardiovascular disease like atrial fibrillation. Whether this translates into an association between SNP rs2200733 and preeclampsia is not known. Therefore, we determined the association of SNP rs2200733 (C/T) with the risk of preeclampsia. STUDY DESIGN A hospital based prospective case-control study involving 585 pregnant women of whom 285 were preeclamptic and 300 were normotensive. SNP rs2200733 was genotyped by PCR-RFLP method. MAIN OUTCOME MEASURES Statistical significance of the difference in the minor allele frequency between case and control groups was determined by Fisher's exact test. RESULTS Minor allele frequency was 21.4% among preeclamptic pregnant women and 13.7% among normotensive pregnant women (P = 0.00064; odds ratio = 1.72 (0.95 CI: 1.23-2.41). The measures of association were heterogeneous when compared after categorisation of the preeclamptic group into clinical sub-groups. The association was not significant with the eclampsia sub-group (P = 0.39) but relatively higher with the sub-group not superimposed by eclampsia (P = 0.0000048; odds ratio = 2.10 [0.95CI: 1.50-2.92]). Furthermore, the association was relatively higher with the sub-group involving intrauterine growth retardation and intrauterine death (P = 0.00017; odds ratio = 2.89 (0.95CI: 1.65-4.94)]. CONCLUSIONS Minor allele of SNP rs2200733 is associated with the risk of preeclampsia. SNP rs220073 may represent a common risk factor that predispose women to develop both preeclampsia during pregnancy and cardiovascular disease later on.
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Affiliation(s)
- Usha Rani
- Department of Cell Biology and Molecular Genetics, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka 563103, India
| | - K S Praveen Kumar
- Department of Cell Biology and Molecular Genetics, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka 563103, India
| | - Munikrishna Munisamaiah
- Department of Obstetrics and Gynaecology, Sri Devaraj Urs Medical College, Kolar, Karnataka 563103, India
| | - Deepa Rajesh
- Department of Cell Biology and Molecular Genetics, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka 563103, India.
| | - Sharath Balakrishna
- Department of Cell Biology and Molecular Genetics, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka 563103, India.
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Seyerle AA, Sitlani CM, Noordam R, Gogarten SM, Li J, Li X, Evans DS, Sun F, Laaksonen MA, Isaacs A, Kristiansson K, Highland HM, Stewart JD, Harris TB, Trompet S, Bis JC, Peloso GM, Brody JA, Broer L, Busch EL, Duan Q, Stilp AM, O'Donnell CJ, Macfarlane PW, Floyd JS, Kors JA, Lin HJ, Li-Gao R, Sofer T, Méndez-Giráldez R, Cummings SR, Heckbert SR, Hofman A, Ford I, Li Y, Launer LJ, Porthan K, Newton-Cheh C, Napier MD, Kerr KF, Reiner AP, Rice KM, Roach J, Buckley BM, Soliman EZ, de Mutsert R, Sotoodehnia N, Uitterlinden AG, North KE, Lee CR, Gudnason V, Stürmer T, Rosendaal FR, Taylor KD, Wiggins KL, Wilson JG, Chen YD, Kaplan RC, Wilhelmsen K, Cupples LA, Salomaa V, van Duijn C, Jukema JW, Liu Y, Mook-Kanamori DO, Lange LA, Vasan RS, Smith AV, Stricker BH, Laurie CC, Rotter JI, Whitsel EA, Psaty BM, Avery CL. Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology. Pharmacogenomics J 2018; 18:215-226. [PMID: 28719597 PMCID: PMC5773415 DOI: 10.1038/tpj.2017.10] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Revised: 01/14/2017] [Accepted: 03/09/2017] [Indexed: 12/23/2022]
Abstract
Thiazide diuretics, commonly used antihypertensives, may cause QT interval (QT) prolongation, a risk factor for highly fatal and difficult to predict ventricular arrhythmias. We examined whether common single-nucleotide polymorphisms (SNPs) modified the association between thiazide use and QT or its component parts (QRS interval, JT interval) by performing ancestry-specific, trans-ethnic and cross-phenotype genome-wide analyses of European (66%), African American (15%) and Hispanic (19%) populations (N=78 199), leveraging longitudinal data, incorporating corrected standard errors to account for underestimation of interaction estimate variances and evaluating evidence for pathway enrichment. Although no loci achieved genome-wide significance (P<5 × 10-8), we found suggestive evidence (P<5 × 10-6) for SNPs modifying the thiazide-QT association at 22 loci, including ion transport loci (for example, NELL1, KCNQ3). The biologic plausibility of our suggestive results and simulations demonstrating modest power to detect interaction effects at genome-wide significant levels indicate that larger studies and innovative statistical methods are warranted in future efforts evaluating thiazide-SNP interactions.
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Affiliation(s)
- A A Seyerle
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - C M Sitlani
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - R Noordam
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - S M Gogarten
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J Li
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - X Li
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - D S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - F Sun
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - M A Laaksonen
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - A Isaacs
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- CARIM School of Cardiovascular Diseases, Maastricht Centre for Systems Biology (MaCSBio), and Department of Biochemistry, Maastricht University, Maastricht, The Netherlands
| | - K Kristiansson
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - H M Highland
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - J D Stewart
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - T B Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - S Trompet
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - J C Bis
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - G M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - J A Brody
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - L Broer
- Department of Internal Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - E L Busch
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Q Duan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - A M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - C J O'Donnell
- Department of Medicine, Harvard University, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
- Cardiology Section, Boston Veterans Administration Healthcare, Boston, MA, USA
| | - P W Macfarlane
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - J S Floyd
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - J A Kors
- Department of Medical Informatics, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - H J Lin
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Division of Medical Genetics, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - R Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - T Sofer
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - R Méndez-Giráldez
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - S R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - S R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - A Hofman
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - I Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - Y Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | - L J Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - K Porthan
- Division of Cardiology, Heart and Lung Center, Helsinki University Central Hospital, Helsinki, Finland
| | - C Newton-Cheh
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - M D Napier
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - K F Kerr
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - A P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - K M Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J Roach
- Research Computing Center, University of North Carolina, Chapel Hill, NC, USA
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - E Z Soliman
- Epidemiology Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - R de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - N Sotoodehnia
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Division of Cardiology, University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - A G Uitterlinden
- Department of Internal Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - K E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - C R Lee
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - T Stürmer
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Center for Pharmacoepidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - F R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - K D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - K L Wiggins
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - J G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Y-Di Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - R C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - K Wilhelmsen
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- The Renaissance Computing Institute, Chapel Hill, NC, USA
| | - L A Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
| | - V Salomaa
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - C van Duijn
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
- Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - Y Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, USA
| | - D O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
- Department of BESC, Epidemiology Section, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - L A Lange
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - R S Vasan
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
- Division of Preventive Medicine and Epidemiology, Department of Epidemiology, Boston University School of Medicine, Boston, MA, USA
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - B H Stricker
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- Inspectorate of Health Care, Utrecht, The Netherlands
| | - C C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - E A Whitsel
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - B M Psaty
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - C L Avery
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
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35
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Abstract
Electrogenesis in the heart begins in the sinoatrial node and proceeds down the conduction system to originate the heartbeat. Conduction system disorders lead to slow heart rates that are insufficient to support the circulation, necessitating implantation of electronic pacemakers. The typical electronic pacemaker consists of a subcutaneous generator and battery module attached to one or more endocardial leads. New leadless pacemakers can be implanted directly into the right ventricular apex, providing single-chamber pacing without a subcutaneous generator. Modern pacemakers are generally reliable, and their programmability provides options for different pacing modes tailored to specific clinical needs. Advances in device technology will probably include alternative energy sources and dual-chamber leadless pacing in the not-too-distant future. Although effective, current electronic devices have limitations related to lead or generator malfunction, lack of autonomic responsiveness, undesirable interactions with strong magnetic fields, and device-related infections. Biological pacemakers, generated by somatic gene transfer, cell fusion, or cell transplantation, provide an alternative to electronic devices. Somatic reprogramming strategies, which involve transfer of genes encoding transcription factors to transform working myocardium into a surrogate sinoatrial node, are furthest along in the translational pipeline. Even as electronic pacemakers become smaller and less invasive, biological pacemakers might expand the therapeutic armamentarium for conduction system disorders.
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Affiliation(s)
- Eugenio Cingolani
- Cedars-Sinai Heart Institute, 8700 Beverly Boulevard, Los Angeles, California 90048, USA
| | - Joshua I Goldhaber
- Cedars-Sinai Heart Institute, 8700 Beverly Boulevard, Los Angeles, California 90048, USA
| | - Eduardo Marbán
- Cedars-Sinai Heart Institute, 8700 Beverly Boulevard, Los Angeles, California 90048, USA
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36
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Howarth FC, Qureshi MA, Jayaprakash P, Parekh K, Oz M, Dobrzynski H, Adrian TE. The Pattern of mRNA Expression Is Changed in Sinoatrial Node from Goto-Kakizaki Type 2 Diabetic Rat Heart. J Diabetes Res 2018; 2018:8454078. [PMID: 30246030 PMCID: PMC6139199 DOI: 10.1155/2018/8454078] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Revised: 07/16/2018] [Accepted: 08/12/2018] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND In vivo experiments in Goto-Kakizaki (GK) type 2 diabetic rats have demonstrated reductions in heart rate from a young age. The expression of genes encoding more than 70 proteins that are associated with the generation and conduction of electrical activity in the GK sinoatrial node (SAN) have been evaluated to further clarify the molecular basis of the low heart rate. MATERIALS AND METHODS Heart rate and expression of genes were evaluated with an extracellular electrode and real-time RT-PCR, respectively. Rats aged 12-13 months were employed in these experiments. RESULTS Isolated spontaneous heart rate was reduced in GK heart (161 ± 12 bpm) compared to controls (229 ± 11 bpm). There were many differences in expression of mRNA, and some of these differences were of particular interest. Compared to control SAN, expression of some genes were downregulated in GK-SAN: gap junction, Gja1 (Cx43), Gja5 (Cx40), Gjc1 (Cx45), and Gjd3 (Cx31.9); cell membrane transport, Trpc1 (TRPC1) and Trpc6 (TRPC6); hyperpolarization-activated cyclic nucleotide-gated channels, Hcn1 (HCN1) and Hcn4 (HCN4); calcium channels, Cacna1d (Cav1.3), Cacna1g (Cav3.1), Cacna1h (Cav3.2), Cacna2d1 (Cavα2δ1), Cacna2d3 (Cavα2δ3), and Cacng4 (Cav γ 4); and potassium channels, Kcna2 (Kv1.2), Kcna4 (Kv1.4), Kcna5 (Kv1.5), Kcnb1 (Kv2.1), Kcnd3 (Kv4.3), Kcnj2 (Kir2.1), Kcnk1 (TWIK1), Kcnk5 (K2P5.1), Kcnk6 (TWIK2), and Kcnn2 (SK2) whilst others were upregulated in GK-SAN: Ryr2 (RYR2) and Nppb (BNP). CONCLUSIONS This study provides new insight into the changing expression of genes in the sinoatrial node of diabetic heart.
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MESH Headings
- Action Potentials
- Animals
- Arrhythmias, Cardiac/etiology
- Arrhythmias, Cardiac/genetics
- Arrhythmias, Cardiac/metabolism
- Arrhythmias, Cardiac/physiopathology
- Diabetes Mellitus, Type 2/complications
- Diabetes Mellitus, Type 2/genetics
- Diabetes Mellitus, Type 2/metabolism
- Diabetic Cardiomyopathies/etiology
- Diabetic Cardiomyopathies/genetics
- Diabetic Cardiomyopathies/metabolism
- Diabetic Cardiomyopathies/physiopathology
- Disease Models, Animal
- Gene Expression Regulation
- Heart Rate/genetics
- Isolated Heart Preparation
- Male
- RNA, Messenger/genetics
- RNA, Messenger/metabolism
- Rats, Wistar
- Sinoatrial Node/metabolism
- Sinoatrial Node/physiopathology
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Affiliation(s)
- F. C. Howarth
- Department of Physiology, College of Medicine & Health Sciences, UAE University, Al Ain, UAE
| | - M. A. Qureshi
- Department of Physiology, College of Medicine & Health Sciences, UAE University, Al Ain, UAE
| | - P. Jayaprakash
- Department of Pharmacology, College of Medicine & Health Sciences, UAE University, Al Ain, UAE
| | - K. Parekh
- Department of Physiology, College of Medicine & Health Sciences, UAE University, Al Ain, UAE
| | - M. Oz
- Department of Pharmacology, College of Medicine & Health Sciences, UAE University, Al Ain, UAE
| | - H. Dobrzynski
- Cardiovascular Sciences, University of Manchester, Manchester, UK
| | - T. E. Adrian
- Department of Basic Medical Sciences, Mohammed Bin Rashid University of Medicine & Health Sciences, Dubai, UAE
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37
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LONDON BARRY, GREINER ALEXANDERM, MEHDI HAIDER, GUTMANN REBECCA. IDENTIFYING NEW SUDDEN DEATH GENES. Trans Am Clin Climatol Assoc 2018; 129:183-184. [PMID: 30166713 PMCID: PMC6116611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Inherited conditions that lead to cardiac arrhythmias and sudden cardiac death remain an important cause of morbidity and mortality. Identifying the genes responsible for these rare conditions can provide insights into the more common and heritable forms of sudden cardiac death seen in patients with structural heart disease. We and others have used candidate gene approaches and positional cloning in large families to show that mutations in ion channels and ion channel related proteins cause familial arrhythmia syndromes including long QT and Brugada syndromes. The genes responsible for many familial arrhythmia syndromes and the vast majority of the predisposition to common arrhythmias remain unknown. Using whole exome sequencing in families with Brugada syndrome and idiopathic ventricular fibrillation, we now seek to identify mutations in genes previously not thought to play a significant role in the heart.
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Affiliation(s)
- BARRY LONDON
- Correspondence and reprint requests: Barry London, MD, PhD, University of Iowa Carver College of Medicine,
E315-GH, 200 Hawkins Drive, Iowa City, Iowa 52242319-356-2750319-353-6343
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38
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Yavari A, Bellahcene M, Bucchi A, Sirenko S, Pinter K, Herring N, Jung JJ, Tarasov KV, Sharpe EJ, Wolfien M, Czibik G, Steeples V, Ghaffari S, Nguyen C, Stockenhuber A, Clair JRS, Rimmbach C, Okamoto Y, Yang D, Wang M, Ziman BD, Moen JM, Riordon DR, Ramirez C, Paina M, Lee J, Zhang J, Ahmet I, Matt MG, Tarasova YS, Baban D, Sahgal N, Lockstone H, Puliyadi R, de Bono J, Siggs OM, Gomes J, Muskett H, Maguire ML, Beglov Y, Kelly M, Dos Santos PPN, Bright NJ, Woods A, Gehmlich K, Isackson H, Douglas G, Ferguson DJP, Schneider JE, Tinker A, Wolkenhauer O, Channon KM, Cornall RJ, Sternick EB, Paterson DJ, Redwood CS, Carling D, Proenza C, David R, Baruscotti M, DiFrancesco D, Lakatta EG, Watkins H, Ashrafian H. Mammalian γ2 AMPK regulates intrinsic heart rate. Nat Commun 2017; 8:1258. [PMID: 29097735 PMCID: PMC5668267 DOI: 10.1038/s41467-017-01342-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 09/08/2017] [Indexed: 11/22/2022] Open
Abstract
AMPK is a conserved serine/threonine kinase whose activity maintains cellular energy homeostasis. Eukaryotic AMPK exists as αβγ complexes, whose regulatory γ subunit confers energy sensor function by binding adenine nucleotides. Humans bearing activating mutations in the γ2 subunit exhibit a phenotype including unexplained slowing of heart rate (bradycardia). Here, we show that γ2 AMPK activation downregulates fundamental sinoatrial cell pacemaker mechanisms to lower heart rate, including sarcolemmal hyperpolarization-activated current (I f) and ryanodine receptor-derived diastolic local subsarcolemmal Ca2+ release. In contrast, loss of γ2 AMPK induces a reciprocal phenotype of increased heart rate, and prevents the adaptive intrinsic bradycardia of endurance training. Our results reveal that in mammals, for which heart rate is a key determinant of cardiac energy demand, AMPK functions in an organ-specific manner to maintain cardiac energy homeostasis and determines cardiac physiological adaptation to exercise by modulating intrinsic sinoatrial cell behavior.
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Affiliation(s)
- Arash Yavari
- Experimental Therapeutics, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK.
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK.
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK.
| | - Mohamed Bellahcene
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Annalisa Bucchi
- Department of Biosciences, Università degli Studi di Milano, Milan, 20133, Italy
- Centro Interuniversitario di Medicina Molecolare e Biofisica Applicata, University of Milano, Milan, 20133, Italy
| | - Syevda Sirenko
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Katalin Pinter
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Neil Herring
- Burdon Sanderson Cardiac Science Centre, Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, OX1 3PT, UK
| | - Julia J Jung
- Department of Cardiac Surgery, Rostock University Medical Centre, 18057, Rostock, Germany
- Department Life, Light and Matter, Interdisciplinary Faculty, Rostock University, 18059, Rostock, Germany
| | - Kirill V Tarasov
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Emily J Sharpe
- Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Markus Wolfien
- Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, 18051, Germany
| | - Gabor Czibik
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Violetta Steeples
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Sahar Ghaffari
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Chinh Nguyen
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Alexander Stockenhuber
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Joshua R St Clair
- Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Christian Rimmbach
- Department of Cardiac Surgery, Rostock University Medical Centre, 18057, Rostock, Germany
- Department Life, Light and Matter, Interdisciplinary Faculty, Rostock University, 18059, Rostock, Germany
| | - Yosuke Okamoto
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Dongmei Yang
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Mingyi Wang
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Bruce D Ziman
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Jack M Moen
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Daniel R Riordon
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Christopher Ramirez
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Manuel Paina
- Department of Biosciences, Università degli Studi di Milano, Milan, 20133, Italy
- Centro Interuniversitario di Medicina Molecolare e Biofisica Applicata, University of Milano, Milan, 20133, Italy
| | - Joonho Lee
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Jing Zhang
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Ismayil Ahmet
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Michael G Matt
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Yelena S Tarasova
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Dilair Baban
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Natasha Sahgal
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Helen Lockstone
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Rathi Puliyadi
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Joseph de Bono
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Owen M Siggs
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
- MRC Human Immunology Unit, Weatherall Institute for Molecular Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK
| | - John Gomes
- Department of Medicine, BHF Laboratories, The Rayne Institute, University College London, London, WC1E 6JJ, UK
| | - Hannah Muskett
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Mahon L Maguire
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Youlia Beglov
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Matthew Kelly
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Pedro P N Dos Santos
- Instituto de Pós-Graduação, Faculdade de Ciências Médicas de Minas Gerais, Belo Horizonte, 30.130-110, Brazil
| | - Nicola J Bright
- Cellular Stress Group, MRC London Institute of Medical Sciences, Imperial College London, London, W12 0NN, UK
| | - Angela Woods
- Cellular Stress Group, MRC London Institute of Medical Sciences, Imperial College London, London, W12 0NN, UK
| | - Katja Gehmlich
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Henrik Isackson
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
| | - Gillian Douglas
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - David J P Ferguson
- Nuffield Department of Clinical Laboratory Science, University of Oxford, Oxford, OX3 9DU, UK
| | - Jürgen E Schneider
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Andrew Tinker
- Department of Medicine, BHF Laboratories, The Rayne Institute, University College London, London, WC1E 6JJ, UK
- The Heart Centre, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, London, EC1M 6BQ, UK
| | - Olaf Wolkenhauer
- Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, 18051, Germany
- Stellenbosch Institute of Advanced Study (STIAS), Wallenberg Research Centre at Stellenbosch University, Stellenbosch, 7602, South Africa
| | - Keith M Channon
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Richard J Cornall
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
- MRC Human Immunology Unit, Weatherall Institute for Molecular Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK
| | - Eduardo B Sternick
- Instituto de Pós-Graduação, Faculdade de Ciências Médicas de Minas Gerais, Belo Horizonte, 30.130-110, Brazil
| | - David J Paterson
- Burdon Sanderson Cardiac Science Centre, Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, OX1 3PT, UK
| | - Charles S Redwood
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
| | - David Carling
- Cellular Stress Group, MRC London Institute of Medical Sciences, Imperial College London, London, W12 0NN, UK
| | - Catherine Proenza
- Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Robert David
- Department of Cardiac Surgery, Rostock University Medical Centre, 18057, Rostock, Germany
- Department Life, Light and Matter, Interdisciplinary Faculty, Rostock University, 18059, Rostock, Germany
| | - Mirko Baruscotti
- Department of Biosciences, Università degli Studi di Milano, Milan, 20133, Italy
- Centro Interuniversitario di Medicina Molecolare e Biofisica Applicata, University of Milano, Milan, 20133, Italy
| | - Dario DiFrancesco
- Department of Biosciences, Università degli Studi di Milano, Milan, 20133, Italy
- Centro Interuniversitario di Medicina Molecolare e Biofisica Applicata, University of Milano, Milan, 20133, Italy
| | - Edward G Lakatta
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, 21224, USA
| | - Hugh Watkins
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Houman Ashrafian
- Experimental Therapeutics, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK.
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK.
- The Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK.
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Shi NJ, Zhang WX, Zhang N, Zhong LN, Wang LP. Correlation of MDR1 gene polymorphisms with anesthetic effect of sevoflurane-remifentanil following pediatric tonsillectomy. Medicine (Baltimore) 2017; 96:e7002. [PMID: 28614221 PMCID: PMC5478306 DOI: 10.1097/md.0000000000007002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The motive of this study was to investigate the collaboration between MDR1 gene polymorphisms and anesthetic effects following pediatric tonsillectomy. METHODS All together 178 children undergoing tonsillectomy with preoperative sevoflurane-remifentanil anesthesia were selected. In order to determine MDR1 gene polymorphisms of 3435C > T, 1236C > T, and 2677G > T/A, polymerase chain reaction-restriction fragment length polymorphism was used. Mean arterial pressure (MAP), diastolic blood pressure (DBP), systolic blood pressure (SBP), and heart rate (HR) at T0 (5 mins after the repose), T1 (0 min after tracheal intubation), T2 (5 mins after the tracheal intubation), T3 (0 min after the tonsillectomy), T4 (0 min after removal of the mouth-gag) and T5 (5 min after the extubation) were observed. The visual analog scale (VAS), the face, legs, activity, cry, and consolability (FLACC) pain assessment, and Ramsay sedation score were recorded after the patients gained consciousness. The adverse reactions were also observed. RESULTS As compared to the CT + TT genotype of MDR1 1236C > T, the time of induction, respiration recovery, eye-opening, and extubation of children with the CC genotype was found to be shorter (all P <.05); the MAP, SBP, DBP, and HR were significantly reduced at T5 in children that possessed the CC genotype (all P <.05), the VAS at postoperative 1, 2, 4, and 8 hours and Ramsay sedation score were decreased, while the FLACC score increased (all P <.05). It was found that the adverse reaction rate was lower in children bearing the CC genotype (P <.05). CONCLUSION It could be concluded that anesthetic effect in patients with the MDR1 1236C > T CC genotype was found to be superior to those carrying the CT + TT genotype.
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Zhao CY, Greenstein JL, Winslow RL. Mechanisms of the cyclic nucleotide cross-talk signaling network in cardiac L-type calcium channel regulation. J Mol Cell Cardiol 2017; 106:29-44. [PMID: 28365422 PMCID: PMC5508987 DOI: 10.1016/j.yjmcc.2017.01.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Revised: 12/16/2016] [Accepted: 01/20/2017] [Indexed: 10/19/2022]
Abstract
Regulation of L-type Calcium (Ca2+) Channel (LCC) gating is critical to shaping the cardiac action potential (AP) and triggering the initiation of excitation-contraction (EC) coupling in cardiac myocytes. The cyclic nucleotide (cN) cross-talk signaling network, which encompasses the β-adrenergic and the Nitric Oxide (NO)/cGMP/Protein Kinase G (PKG) pathways and their interaction (cross-talk) through distinctively-regulated phosphodiesterase isoenzymes (PDEs), regulates LCC current via Protein Kinase A- (PKA) and PKG-mediated phosphorylation. Due to the tightly-coupled and intertwined biochemical reactions involved, it remains to be clarified how LCC gating is regulated by the signaling network from receptor to end target. In addition, the large number of EC coupling-related phosphorylation targets of PKA and PKG makes it difficult to quantify and isolate changes in L-type Ca2+ current (ICaL) responses regulated by the signaling network. We have developed a multi-scale, biophysically-detailed computational model of LCC regulation by the cN signaling network that is supported by experimental data. LCCs are modeled with functionally distinct PKA- and PKG-phosphorylation dependent gating modes. The model exhibits experimentally observed single channel characteristics, as well as whole-cell LCC currents upon activation of the cross-talk signaling network. Simulations show 1) redistribution of LCC gating modes explains changes in whole-cell current under various stimulation scenarios of the cN cross-talk network; 2) NO regulation occurs via potentiation of a gating mode characterized by prolonged closed times; and 3) due to compensatory actions of cross-talk and antagonizing functions of PKA- and PKG-mediated phosphorylation of LCCs, the effects of individual inhibitions of PDEs 2, 3, and 4 on ICaL are most pronounced at low levels of β-adrenergic stimulation. Simulations also delineate the contribution of the following two mechanisms to overall LCC regulation, which have otherwise been challenging to distinguish: 1) regulation of PKA and PKG activation via cN cross-talk (Mechanism 1); and 2) LCC interaction with activated PKA and PKG (Mechanism 2). These results provide insights into how cN signals transduced via the cN cross-talk signaling network are integrated via LCC regulation in the heart.
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Affiliation(s)
- Claire Y Zhao
- Department of Biomedical Engineering and the Institute for Computational Medicine, The Johns Hopkins University School of Medicine and Whiting School of Engineering, 3400 N Charles Street, Baltimore, MD, 21218, USA.
| | - Joseph L Greenstein
- Department of Biomedical Engineering and the Institute for Computational Medicine, The Johns Hopkins University School of Medicine and Whiting School of Engineering, 3400 N Charles Street, Baltimore, MD, 21218, USA.
| | - Raimond L Winslow
- Department of Biomedical Engineering and the Institute for Computational Medicine, The Johns Hopkins University School of Medicine and Whiting School of Engineering, 3400 N Charles Street, Baltimore, MD, 21218, USA.
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Barbosa RM, Speretta GF, Dias DPM, Ruchaya PJ, Li H, Menani JV, Sumners C, Colombari E, Colombari DSA. Increased Expression of Macrophage Migration Inhibitory Factor in the Nucleus of the Solitary Tract Attenuates Renovascular Hypertension in Rats. Am J Hypertens 2017; 30:435-443. [PMID: 28158469 PMCID: PMC5861587 DOI: 10.1093/ajh/hpx001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Revised: 10/20/2016] [Accepted: 01/02/2017] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Macrophage migration inhibitory factor (MIF) is an intracellular inhibitory regulator of the actions of angiotensin II in the central nervous system. Renovascular hypertensive 2-kidney, 1-clip (2K1C) rats have an increased activity of the renin-angiotensin system and a decrease in baroreflex function compared to normotensive (NT) rats. In the present study, we tested the effects of MIF overexpression within the nucleus of the solitary tract (NTS), a key brainstem region for cardiovascular regulation, on the development of hypertension, on baroreflex function, and on water and food intake in 2K1C rats. METHODS Holtzman NT rats received a silver clip around the left renal artery to induce 2K1C hypertension. Three weeks later, rats were microinjected in the NTS with AAV2-CBA-MIF, to increase the expression of MIF, or with the control vector AAV2-CBA-enhanced green fluorescent protein. Mean arterial pressure (MAP) and heart rate were recorded by telemetry. Baroreflex function was tested, and water and food intake were also measured. RESULTS Increasing MIF expression in the NTS of 2K1C rats attenuated the development of hypertension, reversed the impairment of baroreflex function, and reduced the increase in water intake. In contrast to 2K1C rats, similar increases in MIF expression in the NTS of NT rats produced no changes in baseline MAP, baroreflex function, or water intake. CONCLUSIONS These results indicate that an increased expression of MIF within the NTS attenuates the development of hypertension and restores the baroreflex function in 2K1C rats.
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Affiliation(s)
- Rafaela Moreira Barbosa
- Department of Physiology and Pathology, School of Dentistry, São Paulo State University, Araraquara, São Paulo, Brazil
| | - Guilherme F Speretta
- Department of Physiology and Pathology, School of Dentistry, São Paulo State University, Araraquara, São Paulo, Brazil
| | - Daniel Penteado Martins Dias
- Department of Physiology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Prashant Jay Ruchaya
- Department of Physiology and Pathology, School of Dentistry, São Paulo State University, Araraquara, São Paulo, Brazil
| | - Hongwei Li
- School of Biotechnology, Southern Medical University, Guangzhou, China
| | - José Vanderlei Menani
- Department of Physiology and Pathology, School of Dentistry, São Paulo State University, Araraquara, São Paulo, Brazil
| | - Colin Sumners
- Department of Physiology and Functional Genomics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Eduardo Colombari
- Department of Physiology and Pathology, School of Dentistry, São Paulo State University, Araraquara, São Paulo, Brazil
| | - Débora S A Colombari
- Department of Physiology and Pathology, School of Dentistry, São Paulo State University, Araraquara, São Paulo, Brazil
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Briot J, Tétreault MP, Bourdin B, Parent L. Inherited Ventricular Arrhythmias: The Role of the Multi-Subunit Structure of the L-Type Calcium Channel Complex. Adv Exp Med Biol 2017; 966:55-64. [PMID: 28315127 DOI: 10.1007/5584_2016_186] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
The normal heartbeat is conditioned by transient increases in the intracellular free Ca2+ concentration. Ca2+ influx in cardiomyocytes is regulated by the activity of the heteromeric L-type voltage-activated CaV1.2 channel. A complex network of interactions between the different proteins forming the ion channel supports the kinetics and the activation gating of the Ca2+ influx. Alterations in the biophysical and biochemical properties or in the biogenesis in any of these proteins can lead to serious disturbances in the cardiac rhythm. The multi-subunit nature of the channel complex is better comprehended by examining the high-resolution three-dimensional structure of the closely related CaV1.1 channel. The architectural map identifies precise interaction loci between the different subunits and paves the way for elucidating the mechanistic basis for the regulation of Ca2+ balance in cardiac myocytes under physiological and pathological conditions.
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Affiliation(s)
- Julie Briot
- Département de Pharmacologie et Physiologie, Faculté de Médecine, Institut Cardiologie de Montréal, Université de Montréal, 5000 Bélanger, Montréal, QC, H1T 1C8, Canada
| | - Marie-Philippe Tétreault
- Département de Pharmacologie et Physiologie, Faculté de Médecine, Institut Cardiologie de Montréal, Université de Montréal, 5000 Bélanger, Montréal, QC, H1T 1C8, Canada
| | - Benoîte Bourdin
- Département de Pharmacologie et Physiologie, Faculté de Médecine, Institut Cardiologie de Montréal, Université de Montréal, 5000 Bélanger, Montréal, QC, H1T 1C8, Canada
| | - Lucie Parent
- Département de Pharmacologie et Physiologie, Faculté de Médecine, Institut Cardiologie de Montréal, Université de Montréal, 5000 Bélanger, Montréal, QC, H1T 1C8, Canada.
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Ruchaya PJ, Speretta GF, Blanch GT, Li H, Sumners C, Menani JV, Colombari E, Colombari DSA. Overexpression of AT2R in the solitary-vagal complex improves baroreflex in the spontaneously hypertensive rat. Neuropeptides 2016; 60:29-36. [PMID: 27469059 DOI: 10.1016/j.npep.2016.06.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 05/20/2016] [Accepted: 06/05/2016] [Indexed: 02/07/2023]
Abstract
The aim of this study was to investigate the physiological effects of increased angiotensin II type 2 receptor (AT2R) expression in the solitary-vagal complex (nucleus of the solitary tract/dorsal motor nucleus of the vagus; NTS/DVM) on baroreflex function in non-anaesthetised normotensive (NT) and spontaneously hypertensive rats (SHR). Ten week old NT Holtzman and SHR were microinjected with either an adeno-associated virus expressing AT2R (AAV2-CBA-AT2R) or enhanced green fluorescent protein (control; AAV2-CBA-eGFP) into the NTS/DVM. Baroreflex and telemetry recordings were performed on four experimental groups: 1) NTeGFP, 2) NTAT2R, 3) SHReGFP and 4) SHRAT2R (n=4-7/group). Following in-vivo experimental procedures, brains were harvested for gene expression analysis. Impaired bradycardia in SHReGFP was restored in SHR rats overexpressing AT2R in the NTS/DMV. mRNA levels of angiotensin converting enzyme decreased and angiotensin converting enzyme 2 increased in the NTS/DMV of SHRAT2R compared to SHReGFP. Increased levels of pro-inflammatory cytokine mRNA levels in the SHReGFP group also decreased in the SHRAT2R group. AT2R overexpression did not elicit any significant change in mean arterial pressure (MAP) in all groups from baseline to 4weeks post viral transfection. Both SHReGFP and SHRAT2R showed a significant elevation in MAP compared to the NTeGFP and NTAT2R groups. Increased AT2R expression within the NTS/DMV of SHR was effective at improving baroreflex function but not MAP. We propose possible mediators involved in improving baroreflex are in the ANG II/ACE2 axis, suggesting a potential beneficial modulatory effect of AT2R overexpression in the NTS/DMV of neurogenic hypertensive rats.
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Affiliation(s)
- Prashant J Ruchaya
- Department of Physiology and Pathology, School of Dentistry, São Paulo State University, Araraquara, SP, Brazil
| | - Guilherme F Speretta
- Department of Physiology and Pathology, School of Dentistry, São Paulo State University, Araraquara, SP, Brazil
| | - Graziela Torres Blanch
- Department of Physiology and Pathology, School of Dentistry, São Paulo State University, Araraquara, SP, Brazil
| | - Hongwei Li
- School of Biotechnology, Southern Medical University, Guangzhou, China
| | - Colin Sumners
- Department of Physiology and Functional Genomics and McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL, USA
| | - José V Menani
- Department of Physiology and Pathology, School of Dentistry, São Paulo State University, Araraquara, SP, Brazil
| | - Eduardo Colombari
- Department of Physiology and Pathology, School of Dentistry, São Paulo State University, Araraquara, SP, Brazil.
| | - Débora S A Colombari
- Department of Physiology and Pathology, School of Dentistry, São Paulo State University, Araraquara, SP, Brazil.
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Abstract
Bombesin-like receptor 3 (BRS-3) is an X-linked orphan Gq-coupled receptor that regulates food intake, metabolic rate, body temperature, heart rate, blood pressure, and insulin secretion. Most BRS-3 actions occur via the brain, through mechanisms including regulating sympathetic outflow. Ablation of Brs3 causes obesity, while synthetic agonists produce weight loss.
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Affiliation(s)
- Cuiying Xiao
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD 20892, USA
| | - Marc L Reitman
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD 20892, USA.
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Nadadur RD, Broman MT, Boukens B, Mazurek SR, Yang X, van den Boogaard M, Bekeny J, Gadek M, Ward T, Zhang M, Qiao Y, Martin JF, Seidman CE, Seidman J, Christoffels V, Efimov IR, McNally EM, Weber CR, Moskowitz IP. Pitx2 modulates a Tbx5-dependent gene regulatory network to maintain atrial rhythm. Sci Transl Med 2016; 8:354ra115. [PMID: 27582060 PMCID: PMC5266594 DOI: 10.1126/scitranslmed.aaf4891] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Accepted: 07/31/2016] [Indexed: 12/22/2022]
Abstract
Cardiac rhythm is extremely robust, generating 2 billion contraction cycles during the average human life span. Transcriptional control of cardiac rhythm is poorly understood. We found that removal of the transcription factor gene Tbx5 from the adult mouse caused primary spontaneous and sustained atrial fibrillation (AF). Atrial cardiomyocytes from the Tbx5-mutant mice exhibited action potential abnormalities, including spontaneous depolarizations, which were rescued by chelating free calcium. We identified a multitiered transcriptional network that linked seven previously defined AF risk loci: TBX5 directly activated PITX2, and TBX5 and PITX2 antagonistically regulated membrane effector genes Scn5a, Gja1, Ryr2, Dsp, and Atp2a2 In addition, reduced Tbx5 dose by adult-specific haploinsufficiency caused decreased target gene expression, myocardial automaticity, and AF inducibility, which were all rescued by Pitx2 haploinsufficiency in mice. These results defined a transcriptional architecture for atrial rhythm control organized as an incoherent feed-forward loop, driven by TBX5 and modulated by PITX2. TBX5/PITX2 interplay provides tight control of atrial rhythm effector gene expression, and perturbation of the co-regulated network caused AF susceptibility. This work provides a model for the molecular mechanisms underpinning the genetic implication of multiple AF genome-wide association studies loci and will contribute to future efforts to stratify patients for AF risk by genotype.
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Affiliation(s)
- Rangarajan D Nadadur
- Departments of Pediatrics, Pathology, and Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Michael T Broman
- Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Bastiaan Boukens
- Department of Biomedical Engineering, George Washington University, Washington, DC 20052, USA. Department of Anatomy, Embryology and Physiology, Academic Medical Center, Meibergdreef 9, Amsterdam 1105 AZ, Netherlands
| | - Stefan R Mazurek
- Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Xinan Yang
- Departments of Pediatrics, Pathology, and Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Malou van den Boogaard
- Department of Anatomy, Embryology and Physiology, Academic Medical Center, Meibergdreef 9, Amsterdam 1105 AZ, Netherlands
| | - Jenna Bekeny
- Departments of Pediatrics, Pathology, and Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Margaret Gadek
- Departments of Pediatrics, Pathology, and Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Tarsha Ward
- Department of Genetics, Harvard Medical School, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Min Zhang
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. Institute of Biosciences and Technology, Texas A&M Health Science Center, Houston, TX 77030, USA. Cardiomyocyte Renewal Laboratory, Texas Heart Institute, Houston, TX 77030, USA. Program in Developmental Biology, Baylor College of Medicine, Houston, TX 77030, USA. Cardiovascular Research Institute, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yun Qiao
- Department of Biomedical Engineering, George Washington University, Washington, DC 20052, USA
| | - James F Martin
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. Institute of Biosciences and Technology, Texas A&M Health Science Center, Houston, TX 77030, USA. Cardiomyocyte Renewal Laboratory, Texas Heart Institute, Houston, TX 77030, USA. Program in Developmental Biology, Baylor College of Medicine, Houston, TX 77030, USA. Cardiovascular Research Institute, Baylor College of Medicine, Houston, TX 77030, USA
| | - Christine E Seidman
- Department of Genetics, Harvard Medical School, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Jon Seidman
- Department of Genetics, Harvard Medical School, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Vincent Christoffels
- Department of Anatomy, Embryology and Physiology, Academic Medical Center, Meibergdreef 9, Amsterdam 1105 AZ, Netherlands
| | - Igor R Efimov
- Department of Biomedical Engineering, George Washington University, Washington, DC 20052, USA
| | - Elizabeth M McNally
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Christopher R Weber
- Departments of Pediatrics, Pathology, and Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Ivan P Moskowitz
- Departments of Pediatrics, Pathology, and Human Genetics, University of Chicago, Chicago, IL 60637, USA.
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Wang JJC, Rau C, Avetisyan R, Ren S, Romay MC, Stolin G, Gong KW, Wang Y, Lusis AJ. Genetic Dissection of Cardiac Remodeling in an Isoproterenol-Induced Heart Failure Mouse Model. PLoS Genet 2016; 12:e1006038. [PMID: 27385019 PMCID: PMC4934852 DOI: 10.1371/journal.pgen.1006038] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Accepted: 04/18/2016] [Indexed: 12/17/2022] Open
Abstract
We aimed to understand the genetic control of cardiac remodeling using an isoproterenol-induced heart failure model in mice, which allowed control of confounding factors in an experimental setting. We characterized the changes in cardiac structure and function in response to chronic isoproterenol infusion using echocardiography in a panel of 104 inbred mouse strains. We showed that cardiac structure and function, whether under normal or stress conditions, has a strong genetic component, with heritability estimates of left ventricular mass between 61% and 81%. Association analyses of cardiac remodeling traits, corrected for population structure, body size and heart rate, revealed 17 genome-wide significant loci, including several loci containing previously implicated genes. Cardiac tissue gene expression profiling, expression quantitative trait loci, expression-phenotype correlation, and coding sequence variation analyses were performed to prioritize candidate genes and to generate hypotheses for downstream mechanistic studies. Using this approach, we have validated a novel gene, Myh14, as a negative regulator of ISO-induced left ventricular mass hypertrophy in an in vivo mouse model and demonstrated the up-regulation of immediate early gene Myc, fetal gene Nppb, and fibrosis gene Lgals3 in ISO-treated Myh14 deficient hearts compared to controls. Heart failure is the most common cause of morbidity and mortality in the aging population. Previous large-scale human genome-wide association studies have yielded only a handful of genetic loci contributing to heart failure-related traits. Using a panel of diverse inbred mouse strains, treated with a β-adrenergic agonist isoproterenol to mimic the heart failure state, we sought to uncover the contribution of common genetic variation in heart failure. We found that heart failure has a strong genetic component. We successfully identified 17 genome-wide significant loci associated with indices of heart failure. We showed that genetic variation in a novel gene Myh14 affects heart failure by altering the mechanical responses of heart muscles to isoproterenol-induced stress. Follow-up studies of this gene and additional candidate genes and loci should reveal potential mechanisms by which genetic variations contribute to heart failure in the general human population. Such insights may lead to improved diagnosis and tailor treatment based on the genetic makeup of individuals in the population.
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Affiliation(s)
- Jessica Jen-Chu Wang
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
- * E-mail: (JJCW); (AJL)
| | - Christoph Rau
- Department of Anesthesiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Rozeta Avetisyan
- Department of Anesthesiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Shuxun Ren
- Department of Anesthesiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Milagros C. Romay
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Gabriel Stolin
- Department of Molecular, Cell, and Developmental Biology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Ke Wei Gong
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Yibin Wang
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
- Department of Anesthesiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Aldons J. Lusis
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
- * E-mail: (JJCW); (AJL)
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Deng Q, Guo H, Deng N, Zhang W, Li X, Deng H, Xiao Y. Polycyclic aromatic hydrocarbon exposure, miR-146a rs2910164 polymorphism, and heart rate variability in coke oven workers. Environ Res 2016; 148:277-284. [PMID: 27093470 DOI: 10.1016/j.envres.2016.04.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Revised: 03/17/2016] [Accepted: 04/12/2016] [Indexed: 06/05/2023]
Abstract
BACKGROUND Exposure to ubiquitous polycyclic aromatic hydrocarbons (PAHs) has been associated with decreased heart rate variability (HRV). Evidence accumulates that microRNAs (miRNAs) might be the intermediate factors between environmental exposures and their adverse health effects. Single nucleotide polymorphisms (SNPs) in miRNA genes may affect phenotypes and disease morbidity. OBJECTIVE We sought to investigate the influences of four well-studied SNPs in miRNA genes (rs2910164, rs11614913, rs2292832, and rs3746444) on HRV, and their modifying effects on the associations between PAH exposure and HRV. METHODS We measured the concentrations of ten urinary monohydroxy PAHs (OH-PAHs), seven HRV parameters, and genotypes of these four SNPs in 1222 coke oven workers. RESULTS There were significant differences among different rs2910164 genotype carriers in terms of all seven HRV indices: workers with rs2910164 CC genotype had significant lower HRV than those with GG or GC genotype (P<0.05). The number of rs2910164 C allele was negatively associated with HRV indices in the high PAH exposure group (β<0, P<0.05), and the association between rs2910164 and high-frequency (HF) power was significantly stronger in high exposure group (Pinteraction=0.042). Interestingly, the negative associations between the sum of 10 OH-PAHs and HRV (β<0, P<0.05) were significantly or marginally significantly stronger in workers with rs2910164 CC genotype (Pinteraction≤0.050). CONCLUSIONS Coke oven workers with miR-146a rs2910164 CC genotype may be more susceptible to decreased HRV. The modifying effect of rs2910164 on the PAHs-HRV associations suggested miR-146a may mediate the effects of PAH exposure on HRV.
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Affiliation(s)
- Qifei Deng
- Faculty of Preventive Medicine, Guangzhou Key Laboratory of Environmental Pollution and Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Huan Guo
- State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Na Deng
- Faculty of Preventive Medicine, Guangzhou Key Laboratory of Environmental Pollution and Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wangzhen Zhang
- Institute of Industrial Health, Wuhan Iron and Steel Corporation, Wuhan, Hubei, China
| | - Xiaohai Li
- State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huaxin Deng
- State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yongmei Xiao
- Faculty of Preventive Medicine, Guangzhou Key Laboratory of Environmental Pollution and Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
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Sottas V, Abriel H. Negative-dominance phenomenon with genetic variants of the cardiac sodium channel Nav1.5. Biochim Biophys Acta 2016; 1863:1791-8. [PMID: 26907222 DOI: 10.1016/j.bbamcr.2016.02.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2015] [Revised: 02/15/2016] [Accepted: 02/19/2016] [Indexed: 02/07/2023]
Abstract
During the past two decades, many pathological genetic variants in SCN5A, the gene encoding the pore-forming subunit of the cardiac (monomeric) sodium channel Na(v)1.5, have been described. Negative dominance is a classical genetic concept involving a "poison" mutant peptide that negatively interferes with the co-expressed wild-type protein, thus reducing its cellular function. This phenomenon has been described for genetic variants of multimeric K(+) channels, which mechanisms are well understood. Unexpectedly, several pathologic SCN5A variants that are linked to Brugada syndrome also demonstrate such a dominant-negative (DN) effect. The molecular determinants of these observations, however, are not yet elucidated. This review article summarizes recent findings that describe the mechanisms underlying the DN phenomenon of genetic variants of K(+), Ca(2+), Cl(-) and Na(+) channels, and in particular Brugada syndrome variants of Na(v)1.5. This article is part of a Special Issue entitled: Cardiomyocyte Biology: Integration of Developmental and Environmental Cues in the Heart edited by Marcus Schaub and Hughes Abriel.
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Affiliation(s)
- Valentin Sottas
- Department of Clinical Research, Ion Channel Research Group, University of Bern, Switzerland
| | - Hugues Abriel
- Department of Clinical Research, Ion Channel Research Group, University of Bern, Switzerland.
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Jehle J, Hoyer FF, Schöne B, Pfeifer P, Schild K, Jenniches I, Bindila L, Lutz B, Lütjohann D, Zimmer A, Nickenig G. Myeloid-Specific Deletion of Diacylglycerol Lipase α Inhibits Atherogenesis in ApoE-Deficient Mice. PLoS One 2016; 11:e0146267. [PMID: 26731274 PMCID: PMC4712127 DOI: 10.1371/journal.pone.0146267] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Accepted: 12/15/2015] [Indexed: 11/19/2022] Open
Abstract
Background The endocannabinoid 2-arachidonoylglycerol (2-AG) is a known modulator of inflammation. Despite its high concentration in vascular tissue, the role of 2-AG in atherogenesis has not yet been examined. Methods ApoE-deficient mice were sublethally irradiated and reconstituted with bone marrow from mice with a myeloid-specific knockout of the 2-AG synthesising enzyme diacylglycerol lipase α (Dagla) or control bone marrow with an intact 2-AG biosynthesis. After a cholesterol-rich diet for 8 weeks, plaque size and plaque morphology were examined in chimeric mice. Circulating inflammatory cells were assessed by flow cytometry. Aortic tissue and plasma levels of endocannabinoids were measured using liquid chromatography-multiple reaction monitoring. Results Mice with Dagla-deficient bone marrow and circulating myeloid cells showed a significantly reduced plaque burden compared to controls. The reduction in plaque size was accompanied by a significantly diminished accumulation of both neutrophil granulocytes and macrophages in atherosclerotic lesions of Dagla-deficient mice. Moreover, CB2 expression and the amount of oxidised LDL within atherosclerotic lesions was significantly reduced. FACS analyses revealed that levels of circulating inflammatory cells were unaltered in Dagla-deficient mice. Conclusions Myeloid synthesis of the endocannabinoid 2-AG appears to promote vascular inflammation and atherogenesis. Thus, myeloid-specific disruption of 2-AG synthesis may represent a potential novel therapeutic strategy against atherosclerosis.
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Affiliation(s)
- Julian Jehle
- Klinik II für Innere Medizin, Universität Bonn, Bonn, Germany
- * E-mail:
| | - Friedrich Felix Hoyer
- Massachusetts General Hospital, Center for Systems Biology, Boston, United States of America
| | - Benedikt Schöne
- Klinik II für Innere Medizin, Universität Bonn, Bonn, Germany
| | - Philipp Pfeifer
- Klinik II für Innere Medizin, Universität Bonn, Bonn, Germany
| | | | - Imke Jenniches
- Institut für Molekulare Psychiatrie, Universität Bonn, Bonn, Germany
| | - Laura Bindila
- Institut für Physiologische Chemie, Johannes Gutenberg Universität Mainz, Mainz, Germany
| | - Beat Lutz
- Institut für Physiologische Chemie, Johannes Gutenberg Universität Mainz, Mainz, Germany
| | - Dieter Lütjohann
- Institut für Klinische Chemie und Klinische Pharmakologie, Universität Bonn, Bonn, Germany
| | - Andreas Zimmer
- Institut für Molekulare Psychiatrie, Universität Bonn, Bonn, Germany
| | - Georg Nickenig
- Klinik II für Innere Medizin, Universität Bonn, Bonn, Germany
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50
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Linneberg A, Jacobsen RK, Skaaby T, Taylor AE, Fluharty ME, Jeppesen JL, Bjorngaard JH, Åsvold BO, Gabrielsen ME, Campbell A, Marioni RE, Kumari M, Marques-Vidal P, Kaakinen M, Cavadino A, Postmus I, Ahluwalia TS, Wannamethee SG, Lahti J, Räikkönen K, Palotie A, Wong A, Dalgård C, Ford I, Ben-Shlomo Y, Christiansen L, Kyvik KO, Kuh D, Eriksson JG, Whincup PH, Mbarek H, de Geus EJC, Vink JM, Boomsma DI, Smith GD, Lawlor DA, Kisialiou A, McConnachie A, Padmanabhan S, Jukema JW, Power C, Hyppönen E, Preisig M, Waeber G, Vollenweider P, Korhonen T, Laatikainen T, Salomaa V, Kaprio J, Kivimaki M, Smith BH, Hayward C, Sørensen TIA, Thuesen BH, Sattar N, Morris RW, Romundstad PR, Munafò MR, Jarvelin MR, Husemoen LLN. Effect of Smoking on Blood Pressure and Resting Heart Rate: A Mendelian Randomization Meta-Analysis in the CARTA Consortium. ACTA ACUST UNITED AC 2015; 8:832-41. [PMID: 26538566 DOI: 10.1161/circgenetics.115.001225] [Citation(s) in RCA: 88] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2015] [Accepted: 10/21/2015] [Indexed: 11/16/2022]
Abstract
BACKGROUND Smoking is an important cardiovascular disease risk factor, but the mechanisms linking smoking to blood pressure are poorly understood. METHODS AND RESULTS Data on 141 317 participants (62 666 never, 40 669 former, 37 982 current smokers) from 23 population-based studies were included in observational and Mendelian randomization meta-analyses of the associations of smoking status and smoking heaviness with systolic and diastolic blood pressure, hypertension, and resting heart rate. For the Mendelian randomization analyses, a genetic variant rs16969968/rs1051730 was used as a proxy for smoking heaviness in current smokers. In observational analyses, current as compared with never smoking was associated with lower systolic blood pressure and diastolic blood pressure and lower hypertension risk, but with higher resting heart rate. In observational analyses among current smokers, 1 cigarette/day higher level of smoking heaviness was associated with higher (0.21 bpm; 95% confidence interval 0.19; 0.24) resting heart rate and slightly higher diastolic blood pressure (0.05 mm Hg; 95% confidence interval 0.02; 0.08) and systolic blood pressure (0.08 mm Hg; 95% confidence interval 0.03; 0.13). However, in Mendelian randomization analyses among current smokers, although each smoking increasing allele of rs16969968/rs1051730 was associated with higher resting heart rate (0.36 bpm/allele; 95% confidence interval 0.18; 0.54), there was no strong association with diastolic blood pressure, systolic blood pressure, or hypertension. This would suggest a 7 bpm higher heart rate in those who smoke 20 cigarettes/day. CONCLUSIONS This Mendelian randomization meta-analysis supports a causal association of smoking heaviness with higher level of resting heart rate, but not with blood pressure. These findings suggest that part of the cardiovascular risk of smoking may operate through increasing resting heart rate.
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