1
|
Sudre CH, Van Wijnen K, Dubost F, Adams H, Atkinson D, Barkhof F, Birhanu MA, Bron EE, Camarasa R, Chaturvedi N, Chen Y, Chen Z, Chen S, Dou Q, Evans T, Ezhov I, Gao H, Girones Sanguesa M, Gispert JD, Gomez Anson B, Hughes AD, Ikram MA, Ingala S, Jaeger HR, Kofler F, Kuijf HJ, Kutnar D, Lee M, Li B, Lorenzini L, Menze B, Molinuevo JL, Pan Y, Puybareau E, Rehwald R, Su R, Shi P, Smith L, Tillin T, Tochon G, Urien H, van der Velden BHM, van der Velpen IF, Wiestler B, Wolters FJ, Yilmaz P, de Groot M, Vernooij MW, de Bruijne M. Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Med Image Anal 2024; 91:103029. [PMID: 37988921 DOI: 10.1016/j.media.2023.103029] [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: 07/01/2022] [Revised: 08/09/2023] [Accepted: 11/13/2023] [Indexed: 11/23/2023]
Abstract
Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- and interrater variability. Automated rating may benefit biomedical research, as well as clinical assessment, but diagnostic reliability of existing algorithms is unknown. Here, we present the results of the VAscular Lesions DetectiOn and Segmentation (Where is VALDO?) challenge that was run as a satellite event at the international conference on Medical Image Computing and Computer Aided Intervention (MICCAI) 2021. This challenge aimed to promote the development of methods for automated detection and segmentation of small and sparse imaging markers of cerebral small vessel disease, namely enlarged perivascular spaces (EPVS) (Task 1), cerebral microbleeds (Task 2) and lacunes of presumed vascular origin (Task 3) while leveraging weak and noisy labels. Overall, 12 teams participated in the challenge proposing solutions for one or more tasks (4 for Task 1-EPVS, 9 for Task 2-Microbleeds and 6 for Task 3-Lacunes). Multi-cohort data was used in both training and evaluation. Results showed a large variability in performance both across teams and across tasks, with promising results notably for Task 1-EPVS and Task 2-Microbleeds and not practically useful results yet for Task 3-Lacunes. It also highlighted the performance inconsistency across cases that may deter use at an individual level, while still proving useful at a population level.
Collapse
Affiliation(s)
- Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom; Centre for Medical Image Computing, University College London, London, United Kingdom; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
| | - Kimberlin Van Wijnen
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Florian Dubost
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Hieab Adams
- Department of Clinical Genetics and Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - David Atkinson
- Centre for Medical Imaging, University College London, London, United Kingdom
| | - Frederik Barkhof
- Centre for Medical Image Computing, University College London, London, United Kingdom; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - Mahlet A Birhanu
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Esther E Bron
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Robin Camarasa
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom
| | - Yuan Chen
- Department of Radiology, University of Massachusetts Medical School, Worcester, USA
| | - Zihao Chen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Shuai Chen
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Qi Dou
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, China
| | - Tavia Evans
- Department of Clinical Genetics and Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - Ivan Ezhov
- Department of Informatics, Technische Universitat Munchen, Munich, Germany; TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany
| | - Haojun Gao
- Department of Radiology, Zhejiang University, Hangzhou, China
| | | | - Juan Domingo Gispert
- Barcelonaß Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), Barcelona, Spain
| | | | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - H Rolf Jaeger
- Institute of Neurology, University College London, London, United Kingdom
| | - Florian Kofler
- Department of Informatics, Technische Universitat Munchen, Munich, Germany; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Germany; TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Denis Kutnar
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Bo Li
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - Bjoern Menze
- Department of Informatics, Technische Universitat Munchen, Munich, Germany; Department of Quantitative Biomedicine, University of Zurich, Switzerland
| | - Jose Luis Molinuevo
- Barcelonaß Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; H. Lundbeck A/S, Copenhagen, Denmark
| | - Yiwei Pan
- Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China
| | | | - Rafael Rehwald
- Institute of Neurology, University College London, London, United Kingdom
| | - Ruisheng Su
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Pengcheng Shi
- Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China
| | | | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom
| | | | - Hélène Urien
- ISEP-Institut Supérieur d'Électronique de Paris, Issy-les-Moulineaux, France
| | | | - Isabelle F van der Velpen
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Germany
| | - Frank J Wolters
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Pinar Yilmaz
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Marius de Groot
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; GlaxoSmithKline Research, Stevenage, United Kingdom
| | - Meike W Vernooij
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Marleen de Bruijne
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
2
|
Al Saikhan L, Park C, Tillin T, Jones S, Mayet J, Chaturvedi N, Hughes A. Does 3D-speckle tracking echocardiography improve prediction of major cardiovascular events in a multi-ethnic general population? A Southall and Brent Revisited (SABRE) cohort study. PLoS One 2023; 18:e0287173. [PMID: 37368914 DOI: 10.1371/journal.pone.0287173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023] Open
Abstract
3D-speckle tracking echocardiography(3D-STE) allows simultaneous assessment of ejection fraction(EF) and multidirectional strains, but its prognostic utility in the general population is unknown. We investigated if 3D-STE strains predicted a composite of major cardiac endpoints(MACE) beyond cardiovascular risk factors(CVDRF), and whether they were superior to 3D-EF. 529 participants in SABRE, a UK-based tri-ethnic general population cohort (69±6y; 76.6% male) with acceptable 3D-STE imaging were studied. Associations between 3D-EF or multidirectional myocardial strains and MACE(coronary heart disease(fatal/non-fatal), heart failure hospitalization, new-onset arrhythmia and cardiovascular mortality) were determined using Cox regression including adjustment for CVDRF and 2D-EF. Whether 3D-EF, global longitudinal strain(3D-GLS) and principle tangential strain(3D-PTS/3D-strain) improved cardiovascular risk stratification over CVDRF was investigated using a likelihood ratio test on a series of nested Cox proportional hazards models and Harrell's C statistics. During follow-up(median, 12y), there were 92 events. 3D-EF, 3D-GLS and 3D-PTS and 3D-RS were associated with MACE in unadjusted and models adjusted for CVDRF but not CVDRF+2D-EF. Compared to 3D-EF, both 3D-GLS and 3D-PTS slightly improved the predictive value over CVDRF for MACE, but the improvement was modest(C statistic increased from 0.698(0.647, 0.749) to 0.715(0.663, 0.766) comparing CVDRF with CVDRF +3D-GLS). 3D-STE-derived LV myocardial strains predicted MACE in a multi-ethnic general population sample of elderly individuals from the UK; however the added prognostic value of 3D-STE myocardial strains was small.
Collapse
Affiliation(s)
- Lamia Al Saikhan
- Department of Cardiac Technology, College of Applied Medial Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Chloe Park
- Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, MRC Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
| | - Therese Tillin
- Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, MRC Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
| | - Siana Jones
- Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, MRC Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
| | - Jamil Mayet
- NIHR Imperial Biomedical Research Centre, Imperial College London and Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, United Kingdom
| | - Nish Chaturvedi
- Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, MRC Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
| | - Alun Hughes
- Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, MRC Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
| |
Collapse
|
3
|
Al Saikhan L, Park C, Tillin T, Jones S, Francis D, Mayet J, Chaturvedi N, Hughes AD. Sex-differences in associations of LV structure and function measured by echocardiography with long-term risk of mortality and cardiovascular morbidity. Front Cardiovasc Med 2023; 10:1144964. [PMID: 37180770 PMCID: PMC10166834 DOI: 10.3389/fcvm.2023.1144964] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 04/06/2023] [Indexed: 05/16/2023] Open
Abstract
Background Three-dimensional echocardiography (3DE) measures of the left ventricle (LV) predict outcomes in high risk individuals, but their prognostic value in the general population is unknown. We aimed to establish whether 3DE was associated with mortality and morbidity in a multi-ethnic community-based sample, if associations differed by sex, and explored potential mechanisms explaining sex differences. Methods 922 individuals (69.7 ± 6.2 years; 717 men) from the SABRE study underwent a health examination including echocardiography. Associations between 3DE LV measures (ejection fraction (EF), end-diastolic volume (EDV), end-systolic volume (ESV), LV remodeling index (LVRI) and LV sphericity index (LVSI), and all-cause mortality and a composite cardiovascular endpoint [comprising new onset (non)fatal coronary heart disease, heart failure hospitalization, new-onset arrhythmias and cardiovascular mortality] were determined using multivariable Cox regression over a median follow-up of 8 years (all-cause mortality) and 7 years (composite cardiovascular endpoint). Results There were 123 deaths and 151 composite cardiovascular endpoints. Lower EF, higher LV volumes and LVSI were associated with increased all-cause mortality, and higher LV volumes were associated with the composite cardiovascular endpoint independent of potential confounders. Associations between LV volumes, LVRI, LVSI, and mortality differed by sex (p interaction <0.1). In men increased LV volumes and LVSI and decreased LVRI and EF were associated with higher mortality, but associations were null or reversed in women (hazard ratios (95% CI) men vs. women: EDV 1.25 (1.05, 1.48) vs. 0.54 (0.26, 1.10); ESV, 1.36 (1.12, 1.63) vs. 0.59 (0.33, 1.04); LVRI, 0.79 (0.64, 0.96) vs. 1.70 (1.03, 2.80); LVSI, 1.27 (1.05, 1.54) vs. 0.61 (0.32, 1.15); and EF, 0.78 (0.66, 0.93) vs. 1.27 (0.69, 2.33). Similar sex differences were observed for associations with the composite cardiovascular outcome. Adjustment for LV diastolic stiffness and arterial stiffness marginally attenuated these differences. Conclusions 3DE measures of LV volume and remodeling are associated with all-cause mortality and cardiovascular morbidity; however, some associations differ by sex. Sex-differences in LV remodeling patterns may influence mortality and morbidity risk in the general population.
Collapse
Affiliation(s)
- Lamia Al Saikhan
- Department of Cardiac Technology, College of Applied Medial Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Chloe Park
- MRC Unit for Lifelong Health and Ageing, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Siana Jones
- MRC Unit for Lifelong Health and Ageing, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Darrel Francis
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Jamil Mayet
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Alun D. Hughes
- MRC Unit for Lifelong Health and Ageing, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| |
Collapse
|
4
|
Ahmed A, Pinto Pereira S, Tillin T, Wannamethee G. Abstract P334: N-terminal Pro B-type Natriuretic Peptide Improves Stratification of Cardiovascular Disease and Specifically Stroke Risk in South Asians. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.p334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Introduction:
N-terminal pro B-type natriuretic peptide (NT-proBNP) has been widely explored as a biomarker for improving cardiovascular disease (CVD) risk stratification in populations of European ancestry. Evidence on whether NT-proBNP adds value to CVD risk prediction in South Asians (SA) is limited.
Hypothesis:
We hypothesized that NT-proBNP would improve CVD and stroke-specific risk stratification in SA.
Methods:
In the London-based multi-ethnic Southall and Brent Revisited study 1710 first generation SA were randomly recruited from primary care lists and workplaces in 1988-91. Of these, 1149 (mean age 51±7y, 85% men) were free of prevalent CVD and had complete data on baseline CVD risk factors and NT-proBNP (median 31pg/ml, 1
st
-3
rd
quartile 19-55pg/ml). Follow-up for mortality and fatal/non-fatal coronary heart disease (CHD) and stroke events was available to 2008-11. We assessed change in discrimination (Harrell’s C-index [95% CI]) and integrated discrimination improvement (IDI) on adding standardized log-NT-proBNP to Cox models containing age, sex, body mass index, cholesterol:HDL ratio, systolic blood pressure, antihypertensive use, smoking, diabetes, chronic kidney disease and social class; for predicting (1) risk of composite-CVD (CHD or stroke) over (a) 10y and (b) maximum follow-up of 22y; and (2) risk of stroke over 22y. Net reclassification improvement (NRI) for events (NRIe) and non-events (NRIne) was calculated across high, intermediate and low-risk categories defined by cut-offs corresponding to observed (Kaplan-Meier) risk and half-the-observed risk of each endpoint: CVD 15% and 7.5% over 10y; 44% and 22% over 22y; and stroke 10% and 5% over 22y.
Results:
Over 10y, 175 SA experienced a first CVD event. NT-proBNP increased C-index from 0.7269 [0.6920-0.7618] to 0.7323 [0.6973-0.7674] with IDI 0.006, NRIe -0.5% and NRIne 3%. Over 22y, 455 participants experienced a first CVD event. NT-proBNP increased C-index from 0.6759 [0.6521-0.6998] to 0.6795 [0.6555-0.7035] with IDI 0.006, NRIe -0.2% and NRIne 2.5%. In both instances, NT-proBNP correctly downgraded 2% of participants without incident CVD from high to intermediate risk with little change in other risk categories. Additionally, 106 participants experienced a first stroke event over 22y. For this model, NT-proBNP increased C-index from 0.7610 [0.7174-0.8046] to 0.7700 [0.7262-0.8138] with IDI 0.018, NRIe 3.8% and NRIne 4.9%. This correctly downgraded 3.5% of participants without incident stroke to low risk. And upgraded 5% of those with incident stroke from intermediate to high risk, while incorrectly downgrading 1% of these participants to low risk.
Conclusions:
In middle-aged SA, NT-proBNP modestly improves 10y and long-term composite-CVD risk prediction but improves to a greater extent long-term stroke risk prediction leading to sizeable reclassifications into more appropriate risk categories.
Collapse
Affiliation(s)
- Ayesha Ahmed
- Univ College London, Dept. of Primary Care and Population Health, London, United Kingdom
| | | | - Therese Tillin
- Univ College London, MRC Unit for Lifelong Health and Ageing, London, United Kingdom
| | - Goya Wannamethee
- Univ College London, Dept. of Primary Care and Population Health, London, United Kingdom
| |
Collapse
|
5
|
Anbar R, Chaturvedi N, Eastwood SV, Tillin T, Hughes AD. Carotid atherosclerosis in people of European, South Asian and African Caribbean ethnicity in the Southall and Brent revisited study (SABRE). Front Cardiovasc Med 2023; 9:1002820. [PMID: 36762303 PMCID: PMC9902363 DOI: 10.3389/fcvm.2022.1002820] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 12/20/2022] [Indexed: 01/26/2023] Open
Abstract
Background Atherosclerotic cardiovascular disease (ASCVD) risk differs by ethnicity. In comparison with Europeans (EA) South Asian (SA) people in UK experience higher risk of coronary heart disease (CHD) and stroke, while African Caribbean people have a lower risk of CHD but a higher risk of stroke. Aim To compare carotid atherosclerosis in EA, SA, and AC participants in the Southall and Brent Revisited (SABRE) study and establish if any differences were explained by ASCVD risk factors. Methods Cardiovascular risk factors were measured, and carotid ultrasound was performed in 985 individuals (438 EA, 325 SA, 228 AC). Carotid artery plaques and intima-media thickness (cIMT) were measured. Associations of carotid atherosclerosis with ethnicity were investigated using generalised linear models (GLMs), with and without adjustment for non-modifiable (age, sex) and modifiable risk factors (education, diabetes, hypertension, total cholesterol, HDL-C, alcohol consumption, current smoking). Results Prevalence of any plaque was similar in EA and SA, but lower in AC (16, 16, and 6%, respectively; p < 0.001). In those with plaque, total plaque area, numbers of plaques, plaque class, or greyscale median did not differ by ethnicity; adjustment for risk factors had minimal effects. cIMT was higher in AC than the other ethnic groups after adjustment for age and sex, adjustment for risk factors attenuated this difference. Conclusion Prevalence of carotid artery atherosclerotic plaques varies by ethnicity, independent of risk factors. Lower plaque prevalence in in AC is consistent with their lower risk of CHD but not their higher risk of stroke. Higher cIMT in AC may be explained by risk factors. The similarity of plaque burden in SA and EA despite established differences in ASCVD risk casts some doubt on the utility of carotid ultrasound as a means of assessing risk across these ethnic groups.
Collapse
Affiliation(s)
- Rayan Anbar
- MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom
- Department of Diagnostic Radiology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Sophie V. Eastwood
- MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Alun D. Hughes
- MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom
| |
Collapse
|
6
|
Christie IN, Windsor R, Mutsaerts HJMM, Tillin T, Sudre CH, Hughes AD, Golay X, Gourine AV, Hosford PS. Cerebral perfusion in untreated, controlled, and uncontrolled hypertension. J Cereb Blood Flow Metab 2022; 42:2188-2190. [PMID: 36113055 PMCID: PMC7613835 DOI: 10.1177/0271678x221124644] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 06/09/2022] [Accepted: 07/08/2022] [Indexed: 12/14/2022]
Abstract
This study evaluated the association between systemic arterial blood pressure and cerebral perfusion in 740 participants of the UK's largest tri-ethnic study with measurements of cerebral blood flow (CBF) performed using arterial spin labelling MRI. A significant negative correlation between blood pressure, age and CBF was observed across the patient cohort. The lowest CBF values were recorded in the group of patients with hypertension that were prescribed with anti-hypertensive drugs, but uncontrolled on medication. These findings confirm that hypertension is associated with reduced cerebral perfusion and highlight the importance of blood pressure control for the benefit of maintaining brain blood flow.
Collapse
Affiliation(s)
- Isabel N Christie
- Centre for Cardiovascular and Metabolic Neuroscience,
Neuroscience, Physiology and Pharmacology, University College London, London,
UK
| | - Rowan Windsor
- Centre for Cardiovascular and Metabolic Neuroscience,
Neuroscience, Physiology and Pharmacology, University College London, London,
UK
| | - Henk JMM Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, Amsterdam, The Netherlands
| | - Therese Tillin
- MRC Unit for Lifelong Health & Ageing, Population Science
& Experimental Medicine, Faculty of Population Health Sciences, University
College London, London, UK
| | - Carole H Sudre
- MRC Unit for Lifelong Health & Ageing, Population Science
& Experimental Medicine, Faculty of Population Health Sciences, University
College London, London, UK
| | - Alun D Hughes
- Institute of Cardiovascular Science, Population Science &
Experimental Medicine, Faculty of Population Health Sciences, University College
London, London, UK
| | - Xavier Golay
- Queen Square Institute of Neurology, University College London,
London, UK
| | - Alexander V Gourine
- Centre for Cardiovascular and Metabolic Neuroscience,
Neuroscience, Physiology and Pharmacology, University College London, London,
UK
| | - Patrick S Hosford
- Centre for Cardiovascular and Metabolic Neuroscience,
Neuroscience, Physiology and Pharmacology, University College London, London,
UK
| |
Collapse
|
7
|
Elliott HR, Burrows K, Min JL, Tillin T, Mason D, Wright J, Santorelli G, Davey Smith G, Lawlor DA, Hughes AD, Chaturvedi N, Relton CL. Characterisation of ethnic differences in DNA methylation between UK-resident South Asians and Europeans. Clin Epigenetics 2022; 14:130. [PMID: 36243740 PMCID: PMC9571473 DOI: 10.1186/s13148-022-01351-2] [Citation(s) in RCA: 6] [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] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 09/20/2022] [Indexed: 11/10/2022] Open
Abstract
Ethnic differences in non-communicable disease risk have been described between individuals of South Asian and European ethnicity that are only partially explained by genetics and other known risk factors. DNA methylation is one underexplored mechanism that may explain differences in disease risk. Currently, there is little knowledge of how DNA methylation varies between South Asian and European ethnicities. This study characterised differences in blood DNA methylation between individuals of self-reported European and South Asian ethnicity from two UK-based cohorts: Southall and Brent Revisited and Born in Bradford. DNA methylation differences between ethnicities were widespread throughout the genome (n = 16,433 CpG sites, 3.4% sites tested). Specifically, 76% of associations were attributable to ethnic differences in cell composition with fewer effects attributable to smoking and genetic variation. Ethnicity-associated CpG sites were enriched for EWAS Catalog phenotypes including metabolites. This work highlights the need to consider ethnic diversity in epigenetic research.
Collapse
Affiliation(s)
- Hannah R. Elliott
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kimberley Burrows
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Josine L. Min
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Therese Tillin
- Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Dan Mason
- Bradford Institute for Health Research, Bradford, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford, UK
| | | | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Deborah A. Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Alun D. Hughes
- Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Nishi Chaturvedi
- Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Caroline L. Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| |
Collapse
|
8
|
Molinari M, Cremaschi A, De Iorio M, Chaturvedi N, Hughes A, Tillin T. Bayesian dynamic network modelling: an application to metabolic associations in cardiovascular diseases. J Appl Stat 2022; 51:114-138. [PMID: 38179161 PMCID: PMC10763914 DOI: 10.1080/02664763.2022.2116746] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 08/14/2022] [Indexed: 10/14/2022]
Abstract
We propose a novel approach to the estimation of multiple Graphical Models to analyse temporal patterns of association among a set of metabolites over different groups of patients. Our motivating application is the Southall And Brent REvisited (SABRE) study, a tri-ethnic cohort study conducted in the UK. We are interested in identifying potential ethnic differences in metabolite levels and associations as well as their evolution over time, with the aim of gaining a better understanding of different risk of cardio-metabolic disorders across ethnicities. Within a Bayesian framework, we employ a nodewise regression approach to infer the structure of the graphs, borrowing information across time as well as across ethnicities. The response variables of interest are metabolite levels measured at two time points and for two ethnic groups, Europeans and South-Asians. We use nodewise regression to estimate the high-dimensional precision matrices of the metabolites, imposing sparsity on the regression coefficients through the dynamic horseshoe prior, thus favouring sparser graphs. We provide the code to fit the proposed model using the software Stan, which performs posterior inference using Hamiltonian Monte Carlo sampling, as well as a detailed description of a block Gibbs sampling scheme.
Collapse
Affiliation(s)
- Marco Molinari
- Department of Statistical Science, University College, London, London, UK
| | | | - Maria De Iorio
- Department of Statistical Science, University College, London, London, UK
- Singapore Institute for Clinical Sciences, A*STAR, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Nishi Chaturvedi
- Department of Population Science and Experimental Medicine, University College London, London, UK
| | - Alun Hughes
- Department of Population Science and Experimental Medicine, University College London, London, UK
| | - Therese Tillin
- Department of Population Science and Experimental Medicine, University College London, London, UK
| |
Collapse
|
9
|
Jones S, Schultz MG, Park C, Tillin T, Chaturvedi N, Hughes AD. Antihypertensive treatment effect on exercise blood pressure and exercise capacity in older adults. J Hypertens 2022; 40:1682-1691. [PMID: 35881442 DOI: 10.1097/hjh.0000000000003201] [Citation(s) in RCA: 1] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND An exaggerated blood pressure (BP) response to exercise and low exercise capacity are risk factors for cardiovascular disease (CVD). The effect of pharmacological antihypertensive treatment on exercise BP in older adults is largely unknown. This study investigates these effects accounting for differences in exercise capacity. METHODS Participants enrolled in the Southall and Brent Revisited (SABRE) study undertook a 6-min stepper test with expired gas analysis and BP measured throughout exercise. Participants were stratified by antihypertensive treatment status and resting BP control. Exercise systolic and diastolic BP (exSBP and exDBP) were compared between groups using potential outcome means [95% confidence intervals (CIs)] adjusted for exercise capacity. Exercise capacity was also compared by group. RESULTS In total, 659 participants were included (mean age ± SD: 73 ± 6.6 years, 57% male). 31% of normotensive and 23% of hypertensive older adults with controlled resting BP had an exaggerated exercise BP. ExSBP was similar between normotensive and treated/controlled individuals [mean (95%CI): 180 (176 184) mmHg vs. 177 (173 181) mmHg, respectively] but was higher in treated/uncontrolled and untreated/uncontrolled individuals [mean (95% CI): 194 (190 197) mmHg, P < 0.001 and 199 (194 204) mmHg, P < 0.001, respectively]; these differences persisted after adjustment for exercise capacity and other confounders. Exercise capacity was lower in treated vs. normotensive individuals [mean (95% CI) normotensive: 16.7 (16.0,17.4) ml/kg/min]; treated/controlled: 15.5 (14.8,16.1) ml/kg/min, P = 0.009; treated/uncontrolled: [15.1 (14.5,15.7) ml/kg per min, P = 0.001] but was not reduced in untreated/uncontrolled individuals [mean (95% CI): 17.0 (16.1,17.8) ml/kg per min, P = 0.621]. CONCLUSION Irrespective of resting BP control and despite performing less exercise, antihypertensive treatment does not fully mitigate an exaggerated BP response to exercise suggesting residual CVD risk in older adults.
Collapse
Affiliation(s)
- Siana Jones
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, University College London, UK
| | - Martin G Schultz
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Chloe Park
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, University College London, UK
| | - Therese Tillin
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, University College London, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, University College London, UK
| | - Alun D Hughes
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, University College London, UK
| |
Collapse
|
10
|
Joshi R, Wannamethee G, Engmann J, Gaunt T, Lawlor D, Price J, Tillin T, Chaturvedi N, Kivimaki M, Hughes A, Wong A, Hingorani A, Schmidt A. Association of triglyceride and cholesterol content in fourteen lipoprotein subfractions with coronary heart disease: A mendelian randomisation analysis. Atherosclerosis 2022. [DOI: 10.1016/j.atherosclerosis.2022.06.425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
11
|
Sudre CH, Moriconi S, Rehwald R, Smith L, Tillin T, Barnes J, Atkinson D, Ourselin S, Chaturvedi N, Hughes AD, Jäger HR, Cardoso MJ. Accelerated vascular aging: Ethnic differences in basilar artery length and diameter, and its association with cardiovascular risk factors and cerebral small vessel disease. Front Cardiovasc Med 2022; 9:939680. [PMID: 35966566 PMCID: PMC9366336 DOI: 10.3389/fcvm.2022.939680] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 06/27/2022] [Indexed: 11/13/2022] Open
Abstract
Background and aims Risk of stroke and dementia is markedly higher in people of South Asian and African Caribbean descent than white Europeans in the UK. This is unexplained by cardiovascular risk factors (CVRF). We hypothesized this might indicate accelerated early vascular aging (EVA) and that EVA might account for stronger associations between cerebral large artery characteristics and markers of small vessel disease. Methods 360 participants in a tri-ethnic population-based study (120 per ethnic group) underwent cerebral and vertebral MRI. Length and median diameter of the basilar artery (BA) were derived from Time of Flight images, while white matter hyperintensities (WMH) volumes were obtained from T1 and FLAIR images. Associations between BA characteristics and CVRF were assessed using multivariable linear regression. Partial correlation coefficients between WMH load and BA characteristics were calculated after adjustment for CVRF and other potential confounders. Results BA diameter was strongly associated with age in South Asians (+11.3 μm/year 95% CI = [3.05; 19.62]; p = 0.008), with unconvincing relationships in African Caribbeans (3.4 μm/year [-5.26, 12.12]; p = 0.436) or Europeans (2.6 μm/year [-5.75, 10.87]; p = 0.543). BA length was associated with age in South Asians (+0.34 mm/year [0.02; 0.65]; p = 0.037) and African Caribbeans (+0.39 mm/year [0.12; 0.65]; p = 0.005) but not Europeans (+0.08 mm/year [-0.26; 0.41]; p = 0.653). BA diameter (rho = 0.210; p = 0.022) and length (rho = 0.261; p = 0.004) were associated with frontal WMH load in South Asians (persisting after multivariable adjustment for CVRF). Conclusions Compared with Europeans, the basilar artery undergoes more accelerated EVA in South Asians and in African Caribbeans, albeit to a lesser extent. Such EVA may contribute to the higher burden of CSVD observed in South Asians and excess risk of stroke, vascular cognitive impairment and dementia observed in these ethnic groups.
Collapse
Affiliation(s)
- Carole H. Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom,Department of Computer Science, Centre for Medical Image Computing, University College London, London, United Kingdom,School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom,*Correspondence: Carole H. Sudre
| | - Stefano Moriconi
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Rafael Rehwald
- Department of Radiology, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom,Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Lorna Smith
- Centre for Medical Imaging, Division of Medicine, University College London, London, United Kingdom
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Josephine Barnes
- Dementia Research Centre, UCL Institute of Neurology, University College London, London, United Kingdom
| | - David Atkinson
- Centre for Medical Imaging, Division of Medicine, University College London, London, United Kingdom
| | - Sébastien Ourselin
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Alun D. Hughes
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - H. Rolf Jäger
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - M. Jorge Cardoso
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| |
Collapse
|
12
|
Jones S, Tillin T, Williams S, Rapala A, Chaturvedi N, Hughes AD. Skeletal Muscle Tissue Saturation Changes Measured Using Near Infrared Spectroscopy During Exercise Are Associated With Post-Occlusive Reactive Hyperaemia. Front Physiol 2022; 13:919754. [PMID: 35874520 PMCID: PMC9304617 DOI: 10.3389/fphys.2022.919754] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 06/17/2022] [Indexed: 11/22/2022] Open
Abstract
Measuring local haemodynamics in skeletal muscle has the potential to provide valuable insight into the oxygen delivery to tissue, especially during high demand situations such as exercise. The aim of this study was to compare the skeletal muscle microvascular response during post-occlusive reactive hyperaemia (PORH) with the response to exercise, each measured using near-infrared spectroscopy (NIRS) and to establish if associations exist between muscle measures and exercise capacity or sex. Participants were from a population-based cohort study, the Southall and Brent Revisited (SABRE) study. Skeletal muscle measures included changes in tissue saturation index at the onset of exercise (∆TSIBL-INC) and across the whole of exercise (∆TSIBL-EE), time to 50%, 95% and 100% PORH, rate of PORH recovery, area under the curve (AUC) and total oxygenated Haemoglobin (oxy-Hb) change during PORH. Exercise capacity was measured using a 6-min stepper test (6MST). Analysis was by multiple linear regression. In total, 558 participants completed the 6MST with NIRS measures of TSI (mean age±SD: 73 ± 7years, 59% male). A sub-set of 149 participants also undertook the arterial occlusion. Time to 100% PORH, recovery rate, AUC and ∆oxy-Hb were all associated with ∆TSIBL-EE (β-coefficient (95%CI): 0.05 (0.01, 0.09), p = 0.012; -47 (-85, -9.9), p = 0.014; 1.7 (0.62, 2.8), p = 0.002; 0.04 (0.002.0.108), p = 0.041, respectively). Time to 95% & 100% PORH, AUC and ∆oxy-Hb were all associated with ∆TSIBL-INC (β-coefficient (95%CI): -0.07 (-0.12,-0.02), p = 0.02; -0.03 (-0.05, -0.003), p = 0.028; 0.85 (0.18, 1.5), p = 0.013 & 0.05 (0.02, 0.09), p = 0.001, respectively). AUC and ∆Oxy-Hb were associated with steps achieved (β-coefficient (95%CI): 18.0 (2.3, 33.7), p = 0.025; 0.86 (0.10, 1.6), p = 0.027). ∆TSIBL-EE was associated with steps and highest VO2 (1.7 (0.49, 2.9), p = 0.006; 7.7 (3.2, 12.3), p = 0.001). ∆TSIBL-INC was associated with steps and VO2 but this difference was attenuated towards the null after adjustment for age, sex and ethnicity. ∆TSIBL-EE was greater in women (3.4 (0.4, 8.9) versus 2.1 (0.3, 7.4), p = 0.017) and ∆TSIBL-INC was lower in women versus men (2.4 (0.2, 10.2) versus 3.2 (0.2, 18.2), p = 0.016). These Local microvascular NIRS-measures are associated with exercise capacity in older adults and several measures can detect differences in microvascular reactivity between a community-based sample of men and women.
Collapse
Affiliation(s)
- Siana Jones
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science and Experimental Medicine, Institute for Cardiovascular Science, University College London, London, United Kingdom
| | | | | | | | | | | |
Collapse
|
13
|
Kuusisto S, Karjalainen MK, Tillin T, Kangas AJ, Holmes MV, Kähönen M, Lehtimäki T, Viikari J, Perola M, Chaturvedi N, Salomaa V, Raitakari OT, Järvelin MR, Kettunen J, Ala-Korpela M. Genetic and observational evidence: No independent role for cholesterol efflux over static high-density lipoprotein concentration measures in coronary heart disease risk assessment. J Intern Med 2022; 292:146-153. [PMID: 35289444 PMCID: PMC9311699 DOI: 10.1111/joim.13479] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND Observational findings for high-density lipoprotein (HDL)-mediated cholesterol efflux capacity (HDL-CEC) and coronary heart disease (CHD) appear inconsistent, and knowledge of the genetic architecture of HDL-CEC is limited. OBJECTIVES A large-scale observational study on the associations of HDL-CEC and other HDL-related measures with CHD and the largest genome-wide association study (GWAS) of HDL-CEC. PARTICIPANTS/METHODS Six independent cohorts were included with follow-up data for 14,438 participants to investigate the associations of HDL-related measures with incident CHD (1,570 events). The GWAS of HDL-CEC was carried out in 20,372 participants. RESULTS HDL-CEC did not associate with CHD when adjusted for traditional risk factors and HDL cholesterol (HDL-C). In contradiction, almost all HDL-related concentration measures associated consistently with CHD after corresponding adjustments. There were no genetic loci associated with HDL-CEC independent of HDL-C and triglycerides. CONCLUSION HDL-CEC is not unequivocally associated with CHD in contrast to HDL-C, apolipoprotein A-I, and most of the HDL subclass particle concentrations.
Collapse
Affiliation(s)
- Sanna Kuusisto
- Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland.,Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.,NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Minna K Karjalainen
- Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland.,Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Northern Finland Birth Cohorts, Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
| | | | - Michael V Holmes
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jorma Viikari
- Department of Medicine, University of Turku, Turku, Finland.,Division of Medicine, Turku University Hospital, Turku, Finland
| | - Markus Perola
- Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland.,Estonian Genome Center, University of Tartu, Tartu, Estonia.,Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
| | - Veikko Salomaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Unit of Primary Health Care, Oulu University Hospital (OYS), Oulu, Finland.,Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Johannes Kettunen
- Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland.,Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Mika Ala-Korpela
- Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland.,Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.,NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland
| |
Collapse
|
14
|
Molinari M, Cremaschi A, De Iorio M, Chaturvedi N, Hughes AD, Tillin T. Bayesian nonparametric modelling of multiple graphs with an application to ethnic metabolic differences. J R Stat Soc Ser C Appl Stat 2022. [DOI: 10.1111/rssc.12570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | - Andrea Cremaschi
- Singapore Institute of Clinical SciencesAgency for Science, Technology and Research SingaporeSingapore
| | - Maria De Iorio
- Department of Statistical ScienceUCL LondonUK
- Singapore Institute of Clinical SciencesAgency for Science, Technology and Research SingaporeSingapore
- Yong Loo Lin School of MedicineNational University of Singapore SingaporeSingapore
- Yale‐NUS College SingaporeSingapore
| | - Nishi Chaturvedi
- Department of Population Science & Experimental MedicineInstitute of Cardiovascular ScienceUCL LondonUK
| | - Alun D. Hughes
- Department of Population Science & Experimental MedicineInstitute of Cardiovascular ScienceUCL LondonUK
| | - Therese Tillin
- Department of Population Science & Experimental MedicineInstitute of Cardiovascular ScienceUCL LondonUK
| |
Collapse
|
15
|
Al Saikhan L, Park C, Tillin T, Lloyd G, Mayet J, Chaturvedi N, Hughes AD. Relationship Between Image Quality and Bias in 3D Echocardiographic Measures: Data From the SABRE (Southall and Brent Revisited) Study. J Am Heart Assoc 2022; 11:e019183. [PMID: 35475343 PMCID: PMC9238620 DOI: 10.1161/jaha.120.019183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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] [Indexed: 12/23/2022]
Abstract
Background Image‐quality (IQ) compromises left ventricle assessment by 3‐dimensional echocardiography (3DE). Sicker/frailer patients often have suboptimal IQ, and therefore observed associations may be biased by IQ. We investigated its effect in an observational study of older people and when IQ was modified experimentally in healthy volunteers. Methods and Results 3DE feasibility by IQ was assessed in 1294 individuals who attended the second wave of the Southall and Brent Revisited study and was compared with 2‐dimensional (2D)‐echocardiography feasibility in 147 individuals. Upon successful analysis, means of ejection fraction (3D‐EF) and global longitudinal strain (3D‐GLS) (plus 2D‐EF) were compared in individuals with poor versus good IQ. In 2 studies of healthy participants, 3DE‐IQ was impaired by (1) intentionally poor echocardiographic technique, and (2) use of a sheet of ultrasound‐attenuating material (neoprene rubber; 2–4 mm). The feasibility was 41% (529/1294) for 3DE versus 61% (89/147) for 2D‐EF, P<0.0001. Among acceptable images (n=529), good IQ by the 2015 American Society of Echocardiography/European Association of Cardiovascular Imaging criteria was 33.6% (178/529) and 71.3% (377/529) for 3D‐EF and 3D‐GLS, respectively. Individuals with poor IQ had lower 3D‐EF and 3D‐GLS (absolute) than those with good IQ (3D‐EF: 52.8±6.0% versus 55.7±5.7%, Mean‐Δ −2.9 [−3.9, 1.8]; 3D‐GLS: 18.6±3.2% versus 19.2±2.9%, Mean‐Δ −0.6 [−1.1, 0.0]). In 2 experimental models of poor IQ (n=36 for both), mean differences were (−2.6 to −3.2) for 3D‐EF and (−1.2 to −2.0) for 3D‐GLS. Similar findings were found for other 3DE left ventricle volumes and strain parameters. Conclusions 3DE parameters have low feasibility and values are systematically lower in individuals with poor IQ. Although 3D‐EF and 3D‐GLS have potential advantages over conventional echocardiography, further technical improvements are required to improve the utility of 3DE in clinical practice.
Collapse
Affiliation(s)
- Lamia Al Saikhan
- Department of Cardiac TechnologyCollege of Applied Medial SciencesImam Abdulrahman Bin Faisal UniversityDammamKingdom of Saudi Arabia
| | - Chloe Park
- MRC Unit for Lifelong Health and AgeingDepartment of Population Science & Experimental MedicineUCL Institute of Cardiovascular ScienceUniversity College LondonLondonUnited Kingdom
| | - Therese Tillin
- MRC Unit for Lifelong Health and AgeingDepartment of Population Science & Experimental MedicineUCL Institute of Cardiovascular ScienceUniversity College LondonLondonUnited Kingdom
| | - Guy Lloyd
- Department of Cardiovascular ImagingBarts Heart CentreBarts Health NHS TrustLondonUnited Kingdom
| | - Jamil Mayet
- NIHR Imperial Biomedical Research CentreImperial College London and Imperial College Healthcare NHS TrustHammersmith HospitalLondonUnited Kingdom
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and AgeingDepartment of Population Science & Experimental MedicineUCL Institute of Cardiovascular ScienceUniversity College LondonLondonUnited Kingdom
| | - Alun D. Hughes
- MRC Unit for Lifelong Health and AgeingDepartment of Population Science & Experimental MedicineUCL Institute of Cardiovascular ScienceUniversity College LondonLondonUnited Kingdom
| |
Collapse
|
16
|
Durdin R, Parsons C, Dennison EM, Williams S, Tillin T, Chaturvedi N, Cooper C, Harvey NC, Ward KA. Inflammatory status, body composition and ethnic differences in bone mineral density: The Southall and Brent Revisited Study. Bone 2022; 155:116286. [PMID: 34890861 PMCID: PMC8755916 DOI: 10.1016/j.bone.2021.116286] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 11/19/2021] [Accepted: 12/02/2021] [Indexed: 11/25/2022]
Abstract
Ethnic differences in bone mineral density (BMD) and fracture risk are well-described; the aim of this study was to investigate whether central adiposity or inflammatory status contribute to these ethnic differences in BMD in later life. The Southall and Brent Revisited study (SABRE) is a UK-based tri-ethnic cohort of men and women of European, South Asian or African Caribbean origin. At the most recent SABRE follow-up (2014-2018), in addition to measures of cardiometabolic phenotype, participants had dual-energy X-ray absorptiometry (DXA) bone and body composition scans. Multiple linear regression was used to determine whether markers of body composition, central adiposity or inflammatory status contributed to ethnic differences in BMD. In men and women, age- and height-adjusted BMD at all sites was higher in African Caribbeans compared to Europeans (femoral neck: standardised β (95% confidence interval): men: 1.00SD (0.75, 1.25); women: 0.77SD (0.56, 0.99)). South Asian men had higher BMD than European men at the hip (femoral neck: 0.34SD (95%CI: 0.15, 0.54)). Although adjustment for body mass index (BMI) or lean mass index (LMI) at the lumbar spine reduced the size of the difference in BMD between African Caribbean and European men (age and height adjusted difference: 0.35SD (0.08, 0.62); age and BMI adjusted difference: 0.25SD (-0.02, 0.51)), in both men and women ethnic differences remained after adjustment for measures of central adiposity (estimated visceral adipose tissue mass (VAT mass) and android to gynoid ratio) and inflammation (interleukin-6 (logIL-6) and C-reactive protein (logCRP)). Furthermore, in women, we observed ethnic differences in the relationship between BMI (overall interaction: p = 0.04), LMI (p = 0.04) or VAT mass (p = 0.009) and standardised lumbar spine BMD. In this tri-ethnic cohort, ethnic differences in BMD at the femoral neck, total hip or lumbar spine were not explained by BMI, central adiposity or inflammatory status. Given ethnic differences in fracture incidence, it is important to further investigate why ethnic differences in BMD exist.
Collapse
Affiliation(s)
- Ruth Durdin
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK; National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Camille Parsons
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK; National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Suzanne Williams
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK; National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK; Institute of Musculoskeletal Science, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Science, University of Oxford, Oxford, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK; National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK; Institute of Musculoskeletal Science, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Science, University of Oxford, Oxford, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK; National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
| |
Collapse
|
17
|
Hughes AD, Eastwood SV, Tillin T, Chaturvedi N. Antihypertensive Medication Use and Its Effects on Blood Pressure and Haemodynamics in a Tri-ethnic Population Cohort: Southall and Brent Revisited (SABRE). Front Cardiovasc Med 2022; 8:795267. [PMID: 35097013 PMCID: PMC8795362 DOI: 10.3389/fcvm.2021.795267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 12/06/2021] [Indexed: 11/24/2022] Open
Abstract
Objectives: We characterised differences in BP control and use of antihypertensive medications in European (EA), South Asian (SA) and African-Caribbean (AC) people with hypertension and investigated the potential role of type 2 diabetes (T2DM), reduced arterial compliance (Ca), and antihypertensive medication use in any differences. Methods: Analysis was restricted to individuals with hypertension [age range 59–85 years; N = 852 (EA = 328, SA = 356, and AC =168)]. Questionnaires, anthropometry, BP measurements, echocardiography, and fasting blood assays were performed. BP control was classified according to UK guidelines operating at the time of the study. Data were analysed using generalised structural equation models, multivariable regression and treatment effect models. Results: SA and AC people were more likely to receive treatment for high BP and received a greater average number of antihypertensive agents, but despite this a smaller proportion of SA and AC achieved control of BP to target [age and sex adjusted odds ratio (95% confidence interval) = 0.52 (0.38, 0.72) and 0.64 (0.43, 0.96), respectively]. Differences in BP control were partially attenuated by controlling for the higher prevalence of T2DM and reduced Ca in SA and AC. There was little difference in choice of antihypertensive agent by ethnicity and no evidence that differences in efficacy of antihypertensive regimens contributed to ethnic differences in BP control. Conclusions: T2DM and more adverse arterial stiffness are important factors in the poorer BP control in SA and AC people. More effort is required to achieve better control of BP, particularly in UK ethnic minorities.
Collapse
|
18
|
Patel KP, Scully PR, Nitsche C, Kammerlander AA, Joy G, Thornton G, Hughes R, Williams S, Tillin T, Captur G, Chacko L, Kelion A, Sabharwal N, Newton JD, Kennon S, Ozkor M, Mullen M, Hawkins PN, Gillmore JD, Menezes L, Pugliese F, Hughes AD, Fontana M, Lloyd G, Treibel TA, Mascherbauer J, Moon JC. Impact of afterload and infiltration on coexisting aortic stenosis and transthyretin amyloidosis. Heart 2022; 108:67-72. [PMID: 34497140 DOI: 10.1136/heartjnl-2021-319922] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [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: 07/05/2021] [Accepted: 08/23/2021] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE The coexistence of wild-type transthyretin cardiac amyloidosis (ATTR) is common in patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve implantation (TAVI). However, the impact of ATTR and AS on the resultant AS-ATTR is unclear and poses diagnostic and management challenges. We therefore used a multicohort approach to evaluate myocardial structure, function, stress and damage by assessing age-related, afterload-related and amyloid-related remodelling on the resultant AS-ATTR phenotype. METHODS We compared four samples (n=583): 359 patients with AS, 107 with ATTR (97% Perugini grade 2), 36 with AS-ATTR (92% Perugini grade 2) and 81 age-matched and ethnicity-matched controls. 99mTc-3,3-diphosphono-1,2-propanodicarboxylic acid (DPD) scintigraphy was used to diagnose amyloidosis (Perugini grade 1 was excluded). The primary end-point was NT-pro Brain Natriuretic Peptide (BNP) and secondary end-points related to myocardial structure, function and damage. RESULTS Compared with older age controls, the three disease cohorts had greater cardiac remodelling, worse function and elevated NT-proBNP/high-sensitivity Troponin-T (hsTnT). NT-proBNP was higher in AS-ATTR (2844 (1745, 4635) ng/dL) compared with AS (1294 (1077, 1554)ng/dL; p=0.002) and not significantly different to ATTR (3272 (2552, 4197) ng/dL; p=0.63). Diastology, hsTnT and prevalence of carpal tunnel syndrome were statistically similar between AS-ATTR and ATTR and higher than AS. The left ventricular mass indexed in AS-ATTR was lower than ATTR (139 (112, 167) vs 180 (167, 194) g; p=0.013) and non-significantly different to AS (120 (109, 130) g; p=0.179). CONCLUSIONS The AS-ATTR phenotype likely reflects an early stage of amyloid infiltration, but the combined insult resembles ATTR. Even after treatment of AS, ATTR-specific therapy is therefore likely to be beneficial.
Collapse
Affiliation(s)
- Kush P Patel
- Institute of Cardiovascular Science, University College London, London, UK
- Department of Cardiology, Barts Heart Centre, London, UK
| | - Paul Richard Scully
- Institute of Cardiovascular Science, University College London, London, UK
- Department of Cardiology, Barts Heart Centre, London, UK
| | - Christian Nitsche
- Department of Internal Medicine, Medical University of Vienna, Wien, Austria
| | | | - George Joy
- Cardiac Imaging Department, Barts Heart Centre, London, UK
| | - George Thornton
- Institute of Cardiovascular Science, University College London, London, UK
- Cardiac Imaging Department, Barts Heart Centre, London, UK
| | - Rebecca Hughes
- Institute of Cardiovascular Science, University College London, London, UK
- Cardiac Imaging Department, Barts Heart Centre, London, UK
| | | | | | - Gabriella Captur
- Institute of Cardiovascular Science, University College London, London, UK
- MRC Unit for Lifelong Health and Ageing, London, UK
| | | | - Andrew Kelion
- Department of Cardiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Nikant Sabharwal
- Department of Cardiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - James D Newton
- Department of Cardiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Simon Kennon
- Department of Cardiology, Barts Heart Centre, London, UK
| | - Mick Ozkor
- Department of Cardiology, Barts Heart Centre, London, UK
| | - Michael Mullen
- Department of Cardiology, Barts Heart Centre, London, UK
| | | | | | - Leon Menezes
- Department of Cardiology, Barts Heart Centre, London, UK
| | - Francesca Pugliese
- Department of Cardiology, Barts Heart Centre, London, UK
- Advanced Cardiovascular Imaging, William Harvey Research Institute, The London Chest Hospital, London, UK
| | | | | | - Guy Lloyd
- Department of Cardiology, Barts Heart Centre, London, UK
| | - Thomas A Treibel
- Institute of Cardiovascular Science, University College London, London, UK
- Department of Cardiology, Barts Heart Centre, London, UK
| | | | - James C Moon
- Institute of Cardiovascular Science, University College London, London, UK
- Department of Cardiology, Barts Heart Centre, London, UK
| |
Collapse
|
19
|
McPhillie R, Barnes J, Tillin T, Chaturvedi N, Hughes AD, Jäger HR, Sudre CH. Beyond WMH volume: Coalescence score as a new measure of cerebral small‐vessel disease pattern. Alzheimers Dement 2021. [DOI: 10.1002/alz.053034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
| | - Jo Barnes
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | | | | | | | | | - Carole H. Sudre
- University College London London United Kingdom
- School of Biomedical Engineering and Imaging Sciences King’s College London London United Kingdom
| |
Collapse
|
20
|
Al Saikhan L, Park C, Tillin T, Williams S, Jones S, Manisty C, Mayet J, Chaturvedi N, Hughes A. Myocardial strain by 3D-speckle tracking echocardiography predicts long-term risk of cardiovascular morbidity and mortality in the general population: the Southall And Brent Revisited (SABRE) study. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Both left ventricular (LV) ejection fraction (EF) and Global Longitudinal Strain (GLS) by 2D-echocardiography predict mortality and cardiac events, and GLS may be superior to EF. 3D-speckle tracking echocardiography (3D-STE), a recently validated method, allows simultaneous assessment of EF, GLS and principal tangential strain (PTS), but its prognostic utility in the general population is unknown.
Purpose
We hypothesized that 3D-STE derived LV myocardial strains predict a composite of cardiac endpoints, and that GLS would be a better prognostic marker than EF. We also investigated the utility of PTS compared with GLS and EF.
Methods
A total of 529 individuals (69±6y; 76.6% male) from SABRE study, a UK-based tri-ethnic community cohort, underwent health examinations. The association between 3D-STE EF or multidirectional myocardial strains and a composite cardiac endpoints comprising coronary heart disease (fatal/non-fatal), heart failure hospitalization, new-onset arrhythmia was determined using Cox proportional hazards models with and without adjustment for potential confounders and Harrell's C statistics were calculated. Associations with cardiovascular (CV) mortality was examined as a secondary objective. The incremental value of 3D-STE EF, GLS and PTS in improving CV risk stratification by the established Framingham risk score (FRS) was investigated using a likelihood ratio test on a series of nested Cox proportional hazards models.
Results
During follow-up (median, 8y), there were 56 composite cardiac endpoints and 24 CV deaths. EF and radial strain were negatively associated, while GLS, global circumferential strain and PTS were positively associated with the composite cardiac endpoints in unadjusted models (Table 1). Associations were only marginally affected by adjustment for potential confounders although confidence intervals of the estimate increased slightly (Table 1). There was little difference in the C-statistics for EF, GLS or PTS for the composite cardiac endpoints (Table 1). Associations with CV mortality were generally weaker and only GLS showed some evidence of a positive association with CV mortality in unadjusted and adjusted models (Table 1). Compared to EF and GLS, PTS most improved the predictive value (model fit) of FRS for composite cardiac endpoints (Table 2). None of the measures convincingly improved calibration for CV mortality.
Conclusions
3D-STE-derived LV myocardial strains predicted adverse cardiac events and CV mortality in a multi-ethnic sample of the UK general population. PTS/3D-strain was an independent predictor of cardiac events with some evidence of it being a slightly better predictor than conventional indices of LV function (GLS and EF). Future prospective studies are needed to confirm and extend these findings.
Funding Acknowledgement
Type of funding sources: Foundation. Main funding source(s): The main SABRE study is supported by the Wellcome Trust and BHF.
Collapse
Affiliation(s)
- L Al Saikhan
- University College London, Institute of Cardiovascular Sciences/MRC Unit for LHA/School of Life and Medical Sciences, London, United Kingdom
| | - C Park
- University College London, Institute of Cardiovascular Sciences/MRC Unit for LHA/School of Life and Medical Sciences, London, United Kingdom
| | - T Tillin
- University College London, Institute of Cardiovascular Sciences/MRC Unit for LHA/School of Life and Medical Sciences, London, United Kingdom
| | - S Williams
- University College London, Institute of Cardiovascular Sciences/MRC Unit for LHA/School of Life and Medical Sciences, London, United Kingdom
| | - S Jones
- University College London, Institute of Cardiovascular Sciences/MRC Unit for LHA/School of Life and Medical Sciences, London, United Kingdom
| | - C Manisty
- University College London, Institute of Cardiovascular Sciences/MRC Unit for LHA/School of Life and Medical Sciences, London, United Kingdom
| | - J Mayet
- Imperial College London, Imperial College Healthcare NHS Trust, London, United Kingdom
| | - N Chaturvedi
- University College London, Institute of Cardiovascular Sciences/MRC Unit for LHA/School of Life and Medical Sciences, London, United Kingdom
| | - A Hughes
- University College London, Institute of Cardiovascular Sciences/MRC Unit for LHA/School of Life and Medical Sciences, London, United Kingdom
| | | |
Collapse
|
21
|
Min JL, Hemani G, Hannon E, Dekkers KF, Castillo-Fernandez J, Luijk R, Carnero-Montoro E, Lawson DJ, Burrows K, Suderman M, Bretherick AD, Richardson TG, Klughammer J, Iotchkova V, Sharp G, Al Khleifat A, Shatunov A, Iacoangeli A, McArdle WL, Ho KM, Kumar A, Söderhäll C, Soriano-Tárraga C, Giralt-Steinhauer E, Kazmi N, Mason D, McRae AF, Corcoran DL, Sugden K, Kasela S, Cardona A, Day FR, Cugliari G, Viberti C, Guarrera S, Lerro M, Gupta R, Bollepalli S, Mandaviya P, Zeng Y, Clarke TK, Walker RM, Schmoll V, Czamara D, Ruiz-Arenas C, Rezwan FI, Marioni RE, Lin T, Awaloff Y, Germain M, Aïssi D, Zwamborn R, van Eijk K, Dekker A, van Dongen J, Hottenga JJ, Willemsen G, Xu CJ, Barturen G, Català-Moll F, Kerick M, Wang C, Melton P, Elliott HR, Shin J, Bernard M, Yet I, Smart M, Gorrie-Stone T, Shaw C, Al Chalabi A, Ring SM, Pershagen G, Melén E, Jiménez-Conde J, Roquer J, Lawlor DA, Wright J, Martin NG, Montgomery GW, Moffitt TE, Poulton R, Esko T, Milani L, Metspalu A, Perry JRB, Ong KK, Wareham NJ, Matullo G, Sacerdote C, Panico S, Caspi A, Arseneault L, Gagnon F, Ollikainen M, Kaprio J, Felix JF, Rivadeneira F, Tiemeier H, van IJzendoorn MH, Uitterlinden AG, Jaddoe VWV, Haley C, McIntosh AM, Evans KL, Murray A, Räikkönen K, Lahti J, Nohr EA, Sørensen TIA, Hansen T, Morgen CS, Binder EB, Lucae S, Gonzalez JR, Bustamante M, Sunyer J, Holloway JW, Karmaus W, Zhang H, Deary IJ, Wray NR, Starr JM, Beekman M, van Heemst D, Slagboom PE, Morange PE, Trégouët DA, Veldink JH, Davies GE, de Geus EJC, Boomsma DI, Vonk JM, Brunekreef B, Koppelman GH, Alarcón-Riquelme ME, Huang RC, Pennell CE, van Meurs J, Ikram MA, Hughes AD, Tillin T, Chaturvedi N, Pausova Z, Paus T, Spector TD, Kumari M, Schalkwyk LC, Visscher PM, Davey Smith G, Bock C, Gaunt TR, Bell JT, Heijmans BT, Mill J, Relton CL. Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation. Nat Genet 2021; 53:1311-1321. [PMID: 34493871 PMCID: PMC7612069 DOI: 10.1038/s41588-021-00923-x] [Citation(s) in RCA: 158] [Impact Index Per Article: 52.7] [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: 10/13/2020] [Accepted: 07/12/2021] [Indexed: 12/25/2022]
Abstract
Characterizing genetic influences on DNA methylation (DNAm) provides an opportunity to understand mechanisms underpinning gene regulation and disease. In the present study, we describe results of DNAm quantitative trait locus (mQTL) analyses on 32,851 participants, identifying genetic variants associated with DNAm at 420,509 DNAm sites in blood. We present a database of >270,000 independent mQTLs, of which 8.5% comprise long-range (trans) associations. Identified mQTL associations explain 15-17% of the additive genetic variance of DNAm. We show that the genetic architecture of DNAm levels is highly polygenic. Using shared genetic control between distal DNAm sites, we constructed networks, identifying 405 discrete genomic communities enriched for genomic annotations and complex traits. Shared genetic variants are associated with both DNAm levels and complex diseases, but only in a minority of cases do these associations reflect causal relationships from DNAm to trait or vice versa, indicating a more complex genotype-phenotype map than previously anticipated.
Collapse
Affiliation(s)
- Josine L Min
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Eilis Hannon
- University of Exeter Medical School, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Koen F Dekkers
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | | | - René Luijk
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Elena Carnero-Montoro
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Pfizer-University of Granada-Andalusian Government Center for Genomics and Oncological Research, Granada, Spain
| | - Daniel J Lawson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kimberley Burrows
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Andrew D Bretherick
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Tom G Richardson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Johanna Klughammer
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | | | - Gemma Sharp
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ahmad Al Khleifat
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK
| | - Aleksey Shatunov
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK
| | - Alfredo Iacoangeli
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK
- Department of Biostatistics and Health Informatics, King's College London, London, UK
| | - Wendy L McArdle
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Karen M Ho
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ashish Kumar
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Chronic Disease Epidemiology unit, Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Cilla Söderhäll
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Carolina Soriano-Tárraga
- Neurology Department, Hospital del Mar, Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain
| | - Eva Giralt-Steinhauer
- Neurology Department, Hospital del Mar, Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain
| | - Nabila Kazmi
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Dan Mason
- Bradford Institute for Health Research, Bradford, UK
| | - Allan F McRae
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - David L Corcoran
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
| | - Karen Sugden
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Silva Kasela
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Alexia Cardona
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Felix R Day
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Giovanni Cugliari
- Department of Medical Sciences, University of Turin, Turin, Italy
- Italian Institute for Genomic Medicine, Turin, Italy
| | - Clara Viberti
- Department of Medical Sciences, University of Turin, Turin, Italy
- Italian Institute for Genomic Medicine, Turin, Italy
| | - Simonetta Guarrera
- Department of Medical Sciences, University of Turin, Turin, Italy
- Italian Institute for Genomic Medicine, Turin, Italy
| | - Michael Lerro
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Richa Gupta
- Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Sailalitha Bollepalli
- Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Pooja Mandaviya
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Yanni Zeng
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
- Guangdong Province Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Toni-Kim Clarke
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Rosie M Walker
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Vanessa Schmoll
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Carlos Ruiz-Arenas
- ISGlobal, Barcelona Global Health Institute, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Faisal I Rezwan
- Department of Computer Science, Aberystwyth University, Aberystwyth, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Tian Lin
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Yvonne Awaloff
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Marine Germain
- INSERM UMR_S 1219, Bordeaux Population Health Center, University of Bordeaux, Bordeaux, France
| | - Dylan Aïssi
- Department of General and Interventional Cardiology, University Heart Center Hamburg, Hamburg, Germany
| | - Ramona Zwamborn
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Kristel van Eijk
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Annelot Dekker
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jenny van Dongen
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Gonneke Willemsen
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Cheng-Jian Xu
- University of Groningen, University Medical Center Groningen, Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, GRIAC Research Institute Groningen, Groningen, the Netherlands
- CiiM and TWINCORE, Hannover Medical School and Helmholtz Centre for Infection Research, Hannover, Germany
| | - Guillermo Barturen
- Pfizer-University of Granada-Andalusian Government Center for Genomics and Oncological Research, Granada, Spain
| | - Francesc Català-Moll
- Chromatin and Disease Group, Cancer Epigenetics and Biology Programme, Bellvitge Biomedical Research Institute, Barcelona, Spain
| | - Martin Kerick
- Instituto de Parasitología y Biomedicina López Neyra, CSIC, Granada, Spain
| | - Carol Wang
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia
| | - Phillip Melton
- Menzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, Australia
- School of Global Population Health, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Hannah R Elliott
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jean Shin
- The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Manon Bernard
- The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Idil Yet
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Bioinformatics, Institute of Health Sciences, Hacettepe University, Ankara, Turkey
| | - Melissa Smart
- Institute for Social and Economic Research, University of Essex, Colchester, UK
| | | | | | - Chris Shaw
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK
- Department of Neurology, King's College Hospital, London, UK
| | - Ammar Al Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK
- Department of Neurology, King's College Hospital, London, UK
- United Kingdom Dementia Research Institute, King's College London, London, UK
| | - Susan M Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Erik Melén
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Jordi Jiménez-Conde
- Neurology Department, Hospital del Mar, Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain
| | - Jaume Roquer
- Neurology Department, Hospital del Mar, Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford, UK
| | | | - Grant W Montgomery
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Terrie E Moffitt
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University Medical School, Durham, NC, USA
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Lili Milani
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - John R B Perry
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Ken K Ong
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Giuseppe Matullo
- Department of Medical Sciences, University of Turin, Turin, Italy
- Italian Institute for Genomic Medicine, Turin, Italy
| | - Carlotta Sacerdote
- Italian Institute for Genomic Medicine, Turin, Italy
- Piemonte Centre for Cancer Prevention, Turin, Italy
| | - Salvatore Panico
- Dipartimento Di Medicina Clinica E Chirurgia, Federico II University, Naples, Italy
| | - Avshalom Caspi
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University Medical School, Durham, NC, USA
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Louise Arseneault
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - France Gagnon
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Miina Ollikainen
- Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Marinus H van IJzendoorn
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Department of Clinical, Educational and Health Psychology, Division on Psychology and Language Sciences, Faculty of Brain Sciences, University College London, London, UK
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Chris Haley
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Andrew M McIntosh
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Alison Murray
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Institute of Clinical research, University of Southern Denmark, Odense, Denmark
- Centre of Women's, Family and Child Health, University of South-Eastern Norway, Kongsberg, Norway
| | - Thorkild I A Sørensen
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Public Health (Section of Epidemiology), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Camilla S Morgen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Susanne Lucae
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Juan Ramon Gonzalez
- ISGlobal, Barcelona Global Health Institute, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Mariona Bustamante
- ISGlobal, Barcelona Global Health Institute, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
- Center for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Jordi Sunyer
- ISGlobal, Barcelona Global Health Institute, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - John W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics, and Environmental Health Sciences, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics, and Environmental Health Sciences, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Naomi R Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | | | | | - Jan H Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - Eco J C de Geus
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Judith M Vonk
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, GRIAC Research Institute Groningen, Groningen, the Netherlands
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Universiteit Utrecht, Utrecht, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Gerard H Koppelman
- University of Groningen, University Medical Center Groningen, Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, GRIAC Research Institute Groningen, Groningen, the Netherlands
| | - Marta E Alarcón-Riquelme
- Pfizer-University of Granada-Andalusian Government Center for Genomics and Oncological Research, Granada, Spain
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Craig E Pennell
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia
| | - Joyce van Meurs
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | | | | | | | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Tomas Paus
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, Canada
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Meena Kumari
- Institute for Social and Economic Research, University of Essex, Colchester, UK
| | | | - Peter M Visscher
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Christoph Bock
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
- Institute of Artificial Intelligence and Decision Support, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Bastiaan T Heijmans
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Jonathan Mill
- University of Exeter Medical School, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| |
Collapse
|
22
|
Topriceanu C, Tillin T, Chaturvedi N, Joshi R, Garfield V. The association between plasma metabolites and sleep quality in the Southall and Brent Revisited (SABRE) Study: A cross-sectional analysis. J Sleep Res 2021; 30:e13245. [PMID: 33283399 PMCID: PMC8365718 DOI: 10.1111/jsr.13245] [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: 09/04/2020] [Revised: 11/10/2020] [Accepted: 11/10/2020] [Indexed: 01/17/2023]
Abstract
We examined the association between plasma metabolites and abnormal sleep patterns using data from the Southall and Brent REvisited (SABRE) cohort. Nuclear magnetic resonance spectroscopy provided 146 circulating plasma metabolites. Sleep questionnaires identified the presence or absence of: difficulty falling asleep, early morning waking, waking up tired, and snoring. Metabolites were compared between the sleep quality categories using the t test, and then filtered using a false discovery rate of 0.05. Generalised linear models with logit-link assessed the associations between filtered metabolites and sleep phenotypes. Adjustment was made for important demographic and health-related covariates. In all, 2,718 participants were included in the analysis. After correcting for multiple testing, three metabolites remained for difficulty falling asleep, 59 for snoring, and none for early morning waking and waking up tired. After adjusting for sex, age, ethnicity and years of education, 1 standard deviation increase in serum histidine and valine associated with lower odds of difficulty falling asleep by 0.89-0.90 (95% confidence intervals [CIs] 0.80-0.99). Branched-chain and aromatic amino acids (odds ratios [ORs] 1.19-1.25, 95% CIs 1.09-1.36) were positively associated with snoring. Total cholesterol in low-density lipoprotein (OR 0.90, 95% CI 0.83-0.97) and high-density lipoprotein (OR 0.88, 95% CI 0.81-0.95) associated with lower odds of snoring. In the fully adjusted model, most associations persisted. To conclude, histidine and valine associated with lower odds of difficulty falling asleep, while docosahexaenoic acid and cholesterol in low-density lipoprotein and high-density lipoprotein subfractions associated with lower odds of snoring. Identified metabolites could provide guidance on the metabolic pathways associated with adverse sleep quality.
Collapse
Affiliation(s)
| | - Therese Tillin
- Department of Population Science and Experimental MedicineInstitute of Cardiovascular ScienceUniversity College LondonLondonUK
- MRC Unit for Lifelong Health and AgeingUniversity College LondonLondonUK
| | - Nishi Chaturvedi
- Department of Population Science and Experimental MedicineInstitute of Cardiovascular ScienceUniversity College LondonLondonUK
- MRC Unit for Lifelong Health and AgeingUniversity College LondonLondonUK
| | - Roshni Joshi
- Department of Population Science and Experimental MedicineInstitute of Cardiovascular ScienceUniversity College LondonLondonUK
| | - Victoria Garfield
- Department of Population Science and Experimental MedicineInstitute of Cardiovascular ScienceUniversity College LondonLondonUK
- MRC Unit for Lifelong Health and AgeingUniversity College LondonLondonUK
| |
Collapse
|
23
|
Robinson O, Carter AR, Ala-Korpela M, Casas JP, Chaturvedi N, Engmann J, Howe LD, Hughes AD, Järvelin MR, Kähönen M, Karhunen V, Kuh D, Shah T, Ben-Shlomo Y, Sofat R, Lau CHE, Lehtimäki T, Menon U, Raitakari O, Ryan A, Providencia R, Smith S, Taylor J, Tillin T, Viikari J, Wong A, Hingorani AD, Kivimäki M, Vineis P. Metabolic profiles of socio-economic position: a multi-cohort analysis. Int J Epidemiol 2021; 50:768-782. [PMID: 33221853 PMCID: PMC8271201 DOI: 10.1093/ije/dyaa188] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/01/2020] [Indexed: 12/11/2022] Open
Abstract
Background Low socio-economic position (SEP) is a risk factor for multiple health outcomes, but its molecular imprints in the body remain unclear. Methods We examined SEP as a determinant of serum nuclear magnetic resonance metabolic profiles in ∼30 000 adults and 4000 children across 10 UK and Finnish cohort studies. Results In risk-factor-adjusted analysis of 233 metabolic measures, low educational attainment was associated with 37 measures including higher levels of triglycerides in small high-density lipoproteins (HDL) and lower levels of docosahexaenoic acid (DHA), omega-3 fatty acids, apolipoprotein A1, large and very large HDL particles (including levels of their respective lipid constituents) and cholesterol measures across different density lipoproteins. Among adults whose father worked in manual occupations, associations with apolipoprotein A1, large and very large HDL particles and HDL-2 cholesterol remained after adjustment for SEP in later life. Among manual workers, levels of glutamine were higher compared with non-manual workers. All three indicators of low SEP were associated with lower DHA, omega-3 fatty acids and HDL diameter. At all ages, children of manual workers had lower levels of DHA as a proportion of total fatty acids. Conclusions Our work indicates that social and economic factors have a measurable impact on human physiology. Lower SEP was independently associated with a generally unfavourable metabolic profile, consistent across ages and cohorts. The metabolites we found to be associated with SEP, including DHA, are known to predict cardiovascular disease and cognitive decline in later life and may contribute to health inequalities.
Collapse
Affiliation(s)
- Oliver Robinson
- Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Alice R Carter
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
| | - Mika Ala-Korpela
- Systems Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.,Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.,NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland.,Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, The Alfred Hospital, Monash University, Melbourne, Victoria, Australia
| | - Juan P Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.,Division of Aging, Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, UK
| | - Jorgen Engmann
- Institute of Cardiovascular Science, University College London, UK
| | - Laura D Howe
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
| | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, UK
| | - Marjo-Riitta Järvelin
- Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland.,Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, UK
| | - Tina Shah
- Institute of Cardiovascular Science, University College London, UK
| | - Yoav Ben-Shlomo
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
| | - Reecha Sofat
- Institute of Health Informatics, University College London, London, UK
| | - Chung-Ho E Lau
- Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland
| | - Usha Menon
- MRC Clinical Trials Unit at UCL, University College London, UK
| | - Olli Raitakari
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland.,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Andy Ryan
- MRC Clinical Trials Unit at UCL, University College London, UK
| | - Rui Providencia
- Institute of Health Informatics, University College London, London, UK
| | - Stephanie Smith
- Department of Medicine, University of Turku, (and) Division of Medicine, Turku University Hospital, Turku, Finland
| | - Julie Taylor
- Institute of Health Informatics, University College London, London, UK
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, UK
| | - Jorma Viikari
- Department of Medicine, University of Turku, (and) Division of Medicine, Turku University Hospital, Turku, Finland
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, UK
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, University College London, UK.,Health Data Research UK, London, UK.,University College London British Heart Foundation Research Accelerator, UK
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| |
Collapse
|
24
|
McCartney DL, Min JL, Richmond RC, Lu AT, Sobczyk MK, Davies G, Broer L, Guo X, Jeong A, Jung J, Kasela S, Katrinli S, Kuo PL, Matias-Garcia PR, Mishra PP, Nygaard M, Palviainen T, Patki A, Raffield LM, Ratliff SM, Richardson TG, Robinson O, Soerensen M, Sun D, Tsai PC, van der Zee MD, Walker RM, Wang X, Wang Y, Xia R, Xu Z, Yao J, Zhao W, Correa A, Boerwinkle E, Dugué PA, Durda P, Elliott HR, Gieger C, de Geus EJC, Harris SE, Hemani G, Imboden M, Kähönen M, Kardia SLR, Kresovich JK, Li S, Lunetta KL, Mangino M, Mason D, McIntosh AM, Mengel-From J, Moore AZ, Murabito JM, Ollikainen M, Pankow JS, Pedersen NL, Peters A, Polidoro S, Porteous DJ, Raitakari O, Rich SS, Sandler DP, Sillanpää E, Smith AK, Southey MC, Strauch K, Tiwari H, Tanaka T, Tillin T, Uitterlinden AG, Van Den Berg DJ, van Dongen J, Wilson JG, Wright J, Yet I, Arnett D, Bandinelli S, Bell JT, Binder AM, Boomsma DI, Chen W, Christensen K, Conneely KN, Elliott P, Ferrucci L, Fornage M, Hägg S, Hayward C, Irvin M, Kaprio J, Lawlor DA, Lehtimäki T, Lohoff FW, Milani L, Milne RL, Probst-Hensch N, Reiner AP, Ritz B, Rotter JI, Smith JA, Taylor JA, van Meurs JBJ, Vineis P, Waldenberger M, Deary IJ, Relton CL, Horvath S, Marioni RE. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging. Genome Biol 2021; 22:194. [PMID: 34187551 PMCID: PMC8243879 DOI: 10.1186/s13059-021-02398-9] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [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: 10/14/2020] [Accepted: 06/03/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field. RESULTS Leveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels. CONCLUSION This study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.
Collapse
Affiliation(s)
- Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XU, UK
| | - Josine L Min
- MRC Integrative Epidemiology Unit University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ake T Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Maria K Sobczyk
- MRC Integrative Epidemiology Unit University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Gail Davies
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Linda Broer
- Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Ayoung Jeong
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Jeesun Jung
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, USA
| | - Silva Kasela
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Seyma Katrinli
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Pei-Lun Kuo
- Longitudinal Study Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Pamela R Matias-Garcia
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Bavaria, Germany
- TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Pashupati P Mishra
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Marianne Nygaard
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Amit Patki
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Scott M Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Tom G Richardson
- MRC Integrative Epidemiology Unit University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Oliver Robinson
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Mette Soerensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Pei-Chien Tsai
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
| | - Matthijs D van der Zee
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Rosie M Walker
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XU, UK
| | - Xiaochuan Wang
- Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, Victoria, 3004, Australia
| | - Yunzhang Wang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Rui Xia
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Zongli Xu
- National Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Eric Boerwinkle
- School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Pierre-Antoine Dugué
- Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, Victoria, 3004, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, 3168, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Victoria, 3010, Australia
| | - Peter Durda
- Department of Pathology & Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, 05446, USA
| | - Hannah R Elliott
- MRC Integrative Epidemiology Unit University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Bavaria, Germany
| | - Eco J C de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Sarah E Harris
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Medea Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, 33521, Tampere, Finland
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Jacob K Kresovich
- National Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA
| | - Shengxu Li
- Children's Minnesota Research Institute, Children's Minnesota, Minneapolis, MN, 55404, USA
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, USA
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- NIHR Biomedical Research Centre at Guy's and St Thomas' Foundation Trust, London, SE1 9RT, UK
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | | | - Jonas Mengel-From
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Ann Zenobia Moore
- Longitudinal Study Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Joanne M Murabito
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | - James S Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Bavaria, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Silvia Polidoro
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XU, UK
| | - Olli Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Stephen S Rich
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Dale P Sandler
- National Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA
| | - Elina Sillanpää
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Alicia K Smith
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, Victoria, 3004, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, 3168, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Victoria, 3010, Australia
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Bavaria, Germany
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, 55101, Mainz, Germany
- Chair of Genetic Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Hemant Tiwari
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, USA
| | - Toshiko Tanaka
- Longitudinal Study Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Andre G Uitterlinden
- Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - David J Van Den Berg
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Jenny van Dongen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - James G Wilson
- Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Idil Yet
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Bioinformatics, Institute of Health Sciences, Hacettepe University, 06100, Ankara, Turkey
| | - Donna Arnett
- Deans Office, College of Public Health, University of Kentucky, Lexington, UK
| | | | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Alexandra M Binder
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, USA
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawai'i Cancer Center, University of Hawai'i, Honolulu, HI, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Wei Chen
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Karen N Conneely
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Paul Elliott
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Luigi Ferrucci
- Longitudinal Study Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Crewe Rd. South, Edinburgh, EH4 2XU, UK
| | - Marguerite Irvin
- Dept of Epidemiology, University of Alabama at Birmingham, Birmingham, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Bristol NIHR Biomedical Research Centre, Bristol, UK
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Falk W Lohoff
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, USA
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, Victoria, 3004, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, 3168, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Victoria, 3010, Australia
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Alex P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Beate Ritz
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Jack A Taylor
- National Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Paolo Vineis
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Bavaria, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Ian J Deary
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA.
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XU, UK.
| |
Collapse
|
25
|
Ong ZL, Chaturvedi N, Tillin T, Dale C, Garfield V. Association between sleep quality and type 2 diabetes at 20-year follow-up in the Southall and Brent REvisited (SABRE) cohort: a triethnic analysis. J Epidemiol Community Health 2021; 75:1117-1122. [PMID: 34117111 PMCID: PMC8515117 DOI: 10.1136/jech-2020-215796] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 04/17/2021] [Accepted: 05/06/2021] [Indexed: 11/04/2022]
Abstract
Background The risk of developing type 2 diabetes associated with poor sleep quality is comparable to other lifestyle factors (eg, overweight, physical inactivity). In the UK, these risk factors could not explain the two to three-fold excess risks in South-Asian and African-Caribbean men compared with Europeans. This study investigates (1) the association between mid-life sleep quality and later-life type 2 diabetes risk and (2) the potential modifying effect of ethnicity. Methods The Southall and Brent REvisited cohort is composed of Europeans, South-Asians and African-Caribbeans (median follow-up 19 years). Complete-case analysis was performed on 2189 participants without diabetes at baseline (age=51.7±7 SD). Competing risks regressions were used to estimate the HRs of developing diabetes associated with self-reported baseline sleep (difficulty falling asleep, early morning waking, waking up tired, snoring and a composite sleep score), adjusting for confounders. Modifying effects of ethnicity were analysed by conducting interaction tests and ethnicity-stratified analyses. Results There were 484 occurrences of incident type 2 diabetes (22%). Overall, there were no associations between sleep exposures and diabetes risk. Interaction tests suggested a possible modifying effect for South-Asians compared with Europeans for snoring only (p=0.056). The ethnicity-stratified analysis found an association with snoring among South-Asians (HR 1.41, 95% CI 1.08 to 1.85), comparing those who snored often/always versus occasionally/never. There were no elevated risks for the other sleep exposures. Conclusion The association between snoring and type 2 diabetes appeared to be modified by ethnicity, and was strongest in South-Asians.
Collapse
Affiliation(s)
- Zhen Ling Ong
- Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK
| | - Caroline Dale
- Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK.,Institute of Health Informatics, University College London, London, UK
| | - Victoria Garfield
- MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK
| |
Collapse
|
26
|
Timmons JG, Greenlaw N, Boyle JG, Chaturvedi N, Ford I, Brouwers MCGJ, Tillin T, Hramiak I, Hughes AD, Jenkins AJ, Klein BEK, Klein R, Ooi TC, Rossing P, Stehouwer CDA, Sattar N, Colhoun HM, Petrie JR. Metformin and carotid intima-media thickness in never-smokers with type 1 diabetes: The REMOVAL trial. Diabetes Obes Metab 2021; 23:1371-1378. [PMID: 33591613 DOI: 10.1111/dom.14350] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 01/29/2021] [Accepted: 02/09/2021] [Indexed: 02/05/2023]
Abstract
AIM To determine whether metformin's effects on carotid artery intima-media thickness (cIMT) in type 1 diabetes differ according to smoking status. METHODS Regression model effect estimates for the effect of metformin versus placebo (double-blind) on carotid IMT were calculated as a subgroup analysis of the REMOVAL trial. RESULTS In 428 randomized participants (227 never-smokers, 201 ever-smokers), averaged mean carotid IMT progression (per year) was reduced by metformin versus placebo in never-smokers (-0.012 mm, 95% CI -0.021 to -0.002; p = .0137) but not in ever-smokers (0.003 mm, 95% CI -0.008 to 0.014; p = .5767); and similarly in non-current smokers (-0.008 mm, 95% CI -0.015 to -0.00001; p = .0497) but not in current smokers (0.013 mm, 95% CI -0.007 to 0.032; p = .1887). Three-way interaction terms (treatment*time*smoking status) were significant for never versus ever smoking (p = .0373, prespecified) and non-current versus current smoking (p = .0496, exploratory). Averaged maximal carotid IMT progression (per year) was reduced by metformin versus placebo in never-smokers (-0.020 mm, 95% CI -0.034 to -0.006; p = .0067) but not in ever-smokers (-0.006 mm, 95% CI -0.020 to 0.008; p = .4067), although this analysis was not supported by a significant three-way interaction term. CONCLUSIONS This subgroup analysis of the REMOVAL trial provides additional support for a potentially wider role of adjunct metformin therapy in cardiovascular risk management in type 1 diabetes, particularly for individuals who have never smoked cigarettes.
Collapse
Affiliation(s)
- Joseph G Timmons
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Nicola Greenlaw
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - James G Boyle
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Nish Chaturvedi
- Institute of Cardiovascular Science, University College London, London, UK
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Martijn C G J Brouwers
- Department of Internal Medicine and Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Therese Tillin
- Institute of Cardiovascular Science, University College London, London, UK
| | | | - Alun D Hughes
- Institute of Cardiovascular Science, University College London, London, UK
| | - Alicia J Jenkins
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Barbara E K Klein
- University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Ron Klein
- University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Teik C Ooi
- Ottawa Hospital Research Institute, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Peter Rossing
- Steno Diabetes Center Copenhagen and the University of Copenhagen, Copenhagen, Denmark
| | - Coen D A Stehouwer
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands; and, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Helen M Colhoun
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - John R Petrie
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| |
Collapse
|
27
|
Vyas MV, Chaturvedi N, Hughes AD, Marmot M, Tillin T. Cardiovascular disease recurrence and long-term mortality in a tri-ethnic British cohort. Heart 2021; 107:996-1002. [PMID: 33067326 PMCID: PMC8165149 DOI: 10.1136/heartjnl-2020-317641] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 09/16/2020] [Accepted: 09/21/2020] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVE Ethnic differences in cardiovascular disease incidence, but not cardiovascular disease recurrence, are reported. We characterised long-term risk of major adverse cardiovascular event (MACE) and mortality following a non-fatal cardiovascular event in a British cohort of South Asians, African Caribbeans and Europeans. METHODS We identified index and recurrent cardiovascular events and mortality between 1988 and 2017 using hospital records and death registry. Using multivariable hazards models, we separately calculated the adjusted HR of MACE and death following index event, adjusting for demographics, vascular and lifestyle risk factors. Using interaction terms, we evaluated if decade of index event modified the association between ethnicity and outcomes. RESULTS South Asians were younger at the index event (median age 66 years, n=396) than Europeans (69 years, n=335) and African Caribbeans (70 years, n=70). During 4228 person-years, of the 801 patients, 537 developed MACE and 338 died, with the highest crude rate of MACE in South Asians. On adjustment of baseline factors, compared with the Europeans, the higher risk of MACE (HR 0.97, 95% CI 0.77 to 1.21) and the lower risk of mortality (HR 0.95, 95% CI 0.72 to 1.26) in South Asians was eliminated. African Caribbeans had similar outcomes to Europeans (HR MACE 1.04, 95% CI 0.74 to 1.47; and HR death 1.07, 95% CI 0.70 to 1.64). Long-term survival following an index event improved in South Asians (ptrend 0.02) and African Caribbeans (ptrend 0.07) compared with Europeans. CONCLUSIONS Baseline vascular risk factors explained the observed ethnic variation in cardiovascular disease recurrence and long-term mortality, with a relative improvement in survival of minority ethnic groups over time.
Collapse
Affiliation(s)
- Manav V Vyas
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Michael Marmot
- Epidemiology and Public Health, University College London, London, UK
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| |
Collapse
|
28
|
Jones S, Tillin T, Park C, Williams S, Rapala A, Al Saikhan L, Eastwood SV, Richards M, Hughes AD, Chaturvedi N. Cohort Profile Update: Southall and Brent Revisited (SABRE) study: a UK population-based comparison of cardiovascular disease and diabetes in people of European, South Asian and African Caribbean heritage. Int J Epidemiol 2021; 49:1441-1442e. [PMID: 33049759 PMCID: PMC7746410 DOI: 10.1093/ije/dyaa135] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 07/07/2020] [Indexed: 12/15/2022] Open
Affiliation(s)
- Siana Jones
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, UCL, London, UK
| | - Therese Tillin
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, UCL, London, UK
| | - Chloe Park
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, UCL, London, UK
| | - Suzanne Williams
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, UCL, London, UK
| | - Alicja Rapala
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, UCL, London, UK
| | - Lamia Al Saikhan
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, UCL, London, UK.,Department of Cardiac Technology, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia
| | - Sophie V Eastwood
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, UCL, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, UCL, London, UK
| | - Alun D Hughes
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, UCL, London, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, UCL, London, UK
| |
Collapse
|
29
|
Jones S, Schultz MG, Tillin T, Park C, Williams S, Chaturvedi N, Hughes AD. Sex differences in the contribution of different physiological systems to physical function in older adults. GeroScience 2021; 43:443-455. [PMID: 33575915 PMCID: PMC8050191 DOI: 10.1007/s11357-021-00328-y] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 01/25/2021] [Indexed: 11/01/2022] Open
Abstract
Having the physical function to undertake activities of daily living (ADLs) is essential in order to maintain independence. The aim of this study is to investigate factors associated with physical function in older adults and determine if these associations differ in men versus women. In total, 726 participants (57% men; 73±7 years old) from a population-based cohort, the Southall and Brent Revisited (SABRE) study, completed questionnaires permitting a physical function score (PFS) to be calculated. Detailed phenotyping was performed including cardiovascular (echocardiography and macrovascular and microvascular functions), skeletal muscle (grip strength and oxidative capacity) and lung (pulmonary) function measurements. In a sub-group, maximal aerobic capacity was estimated from a sub-maximal exercise test. In women versus men, the association between grip strength and PFS was nearly 3 times stronger, and the association between microvascular dysfunction and PFS was over 5 times stronger (standardized β-coefficient (95% CI) 0.34 (0.22, 0.45) versus 0.11 (0.01,0.22) and -0.27 (-0.37, -0.17) versus -0.05 (-0.14, 0.04), respectively). In men, the association between cardiorespiratory fitness and PFS was 3 times greater than that in women (standardized β-coefficient (95% CI) 0.33 (0.22, 0.45) versus 0.10 (-0.04, 0.25). Cardiovascular, skeletal muscle and pulmonary factors all contribute to self-reported physical function, but the relative pattern of contribution differs by sex. Grip strength and microvascular function are most strongly associated with physical function in women while cardiorespiratory fitness is most strongly associated with physical function in men. This is relevant to the design of effective interventions that target maintenance of physical function in old age.
Collapse
Affiliation(s)
- Siana Jones
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, University College London, 5th floor, 1-19 Torrington Place, London, WC1E 7HB, UK.
| | - Martin G Schultz
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Therese Tillin
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, University College London, 5th floor, 1-19 Torrington Place, London, WC1E 7HB, UK
| | - Chloe Park
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, University College London, 5th floor, 1-19 Torrington Place, London, WC1E 7HB, UK
| | - Suzanne Williams
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, University College London, 5th floor, 1-19 Torrington Place, London, WC1E 7HB, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, University College London, 5th floor, 1-19 Torrington Place, London, WC1E 7HB, UK
| | - Alun D Hughes
- MRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science & Experimental Medicine, Institute for Cardiovascular Science, University College London, 5th floor, 1-19 Torrington Place, London, WC1E 7HB, UK
| |
Collapse
|
30
|
Sharapov SZ, Shadrina AS, Tsepilov YA, Elgaeva EE, Tiys ES, Feoktistova SG, Zaytseva OO, Vuckovic F, Cuadrat R, Jäger S, Wittenbecher C, Karssen LC, Timofeeva M, Tillin T, Trbojević-Akmačić I, Štambuk T, Rudman N, Krištić J, Šimunović J, Momčilović A, Vilaj M, Jurić J, Slana A, Gudelj I, Klarić T, Puljak L, Skelin A, Kadić AJ, Van Zundert J, Chaturvedi N, Campbell H, Dunlop M, Farrington SM, Doherty M, Dagostino C, Gieger C, Allegri M, Williams F, Schulze MB, Lauc G, Aulchenko YS. Replication of 15 loci involved in human plasma protein N-glycosylation in 4802 samples from four cohorts. Glycobiology 2021; 31:82-88. [PMID: 32521004 PMCID: PMC7874387 DOI: 10.1093/glycob/cwaa053] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 04/16/2020] [Revised: 05/27/2020] [Accepted: 06/08/2020] [Indexed: 12/17/2022] Open
Abstract
Human protein glycosylation is a complex process, and its in vivo regulation is poorly understood. Changes in glycosylation patterns are associated with many human diseases and conditions. Understanding the biological determinants of protein glycome provides a basis for future diagnostic and therapeutic applications. Genome-wide association studies (GWAS) allow to study biology via a hypothesis-free search of loci and genetic variants associated with a trait of interest. Sixteen loci were identified by three previous GWAS of human plasma proteome N-glycosylation. However, the possibility that some of these loci are false positives needs to be eliminated by replication studies, which have been limited so far. Here, we use the largest set of samples so far (4802 individuals) to replicate the previously identified loci. For all but one locus, the expected replication power exceeded 95%. Of the 16 loci reported previously, 15 were replicated in our study. For the remaining locus (near the KREMEN1 gene), the replication power was low, and hence, replication results were inconclusive. The very high replication rate highlights the general robustness of the GWAS findings as well as the high standards adopted by the community that studies genetic regulation of protein glycosylation. The 15 replicated loci present a good target for further functional studies. Among these, eight loci contain genes encoding glycosyltransferases: MGAT5, B3GAT1, FUT8, FUT6, ST6GAL1, B4GALT1, ST3GAL4 and MGAT3. The remaining seven loci offer starting points for further functional follow-up investigation into molecules and mechanisms that regulate human protein N-glycosylation in vivo.
Collapse
Affiliation(s)
- Sodbo Zh Sharapov
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Alexandra S Shadrina
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Yakov A Tsepilov
- Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, Pirogova 1, Novosibirsk, 630090, Russia
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Elizaveta E Elgaeva
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Evgeny S Tiys
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Sofya G Feoktistova
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Olga O Zaytseva
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Frano Vuckovic
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Rafael Cuadrat
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, 14558 Nuthetal, Germany
| | - Susanne Jäger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), ngolstädter Landstraβe 1, Neuherberg, 85764, Germany
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), ngolstädter Landstraβe 1, Neuherberg, 85764, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | | | - Maria Timofeeva
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh EH4 2XU, UK
- D-IAS, Danish Institute for Advanced Study, Department of Public Health, University of Southern Denmark, , J.B. Winsløws Vej 9, DK-5000 Odense C, Denmark
| | - Therese Tillin
- MRC Unit for Lifelong Health & Ageing University College London, Gower Street, London, WC1E 6BT, UK
| | | | - Tamara Štambuk
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Najda Rudman
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, 10000, Croatia
| | - Jasminka Krištić
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Jelena Šimunović
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Ana Momčilović
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Marija Vilaj
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Julija Jurić
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Anita Slana
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Thomas Klarić
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Livia Puljak
- Catholic University of Croatia, Ilica, 242 Zagreb, 10000, Croatia
| | - Andrea Skelin
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
- St. Catherine Specialty Hospital, 10000 Zagreb & 49210, Zabok, Croatia
| | - Antonia Jeličić Kadić
- University Hospital Center Split, Department of Pediatrics, Spinčićeva ul. 1, Split, 21000, Croatia
| | - Jan Van Zundert
- Department of Anesthesiology and Multidisciplinary Paincentre, ZOL, Genk/Lanaken, Belgium
- Department of Anesthesiology and Pain Medicine, Maastricht University Medical Centre, P. Debyelaan 25, Maastricht, 6229 HX, The Netherlands
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health & Ageing University College London, Gower Street, London, WC1E 6BT, UK
| | - Harry Campbell
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh EH4 2XU, UK
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Malcolm Dunlop
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Susan M Farrington
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Margaret Doherty
- Institute of Technology Sligo, Department of Life Sciences, Ash Ln, Bellanode, Sligo, F91 YW50, Ireland
- National Institute for Bioprocessing Research & Training, 24 Foster’s Ave, Belfield, Blackrock, Co.,Dublin, A94 X099, Ireland
| | - Concetta Dagostino
- Department of Medicine and Surgery, University of Parma, Via Gramsci 14, 43126 Parma, Italy
| | - Christian Gieger
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Centre Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
| | - Massimo Allegri
- Pain Therapy Department Policlinico Monza Hospital, 20090 Monza, Italy
| | - Frances Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, St Thomas’ Campus, Lambeth Palace Road, London SE1 7EH, UK
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), ngolstädter Landstraβe 1, Neuherberg, 85764, Germany
- Institute of Nutrition Science, University of Potsdam, 14558 Nuthetal, Germany
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Yurii S Aulchenko
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| |
Collapse
|
31
|
Patel K, Scully P, Nitsche C, Williams S, Tillin T, Captur G, Chako L, Newton J, Kennon S, Menezes L, Pugliese F, Fontana M, Treibel TA, Mascherbauer J, Moon JC. AS-amyloidosis. Dual pathology or novel disease? A multimodality, multi-centre assessment across health and disease. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeaa356.392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Foundation. Main funding source(s): British Heart Foundation
onbehalf
AS-Amyloidosis consortium
Background
The coexistence of severe aortic stenosis (lone AS) and transthyretin cardiac amyloidosis (lone amyloidosis) is common, but the resultant AS-amyloidosis phenotype is unclear.
Purpose
We characterised AS-amyloidosis, hypothesizing that the dual insult of AS-amyloidosis results is a severe phenotype.
Methods
We compared four cohorts with deep phenotyping: 81 older age controls, 359 lone AS, 36 AS-amyloidosis (Perugini grade 2 and 3) and 107 lone amyloidosis (Perugini grade 2 and 3).
Results
AS-amyloidosis was similar to lone AS with respect to left ventricular mass and LVEF (57 (45, 64)%). It was similar to lone amyloidosis with respect to lateral S" (0.04 (0.03, 0.06) m/s), NT-proBNP (4149 (1449, 6459) ng/L) and troponin T (56 (34, 100) ng/L). Whilst, prevalence of carpal tunnel syndrome (CTS) (17%) and diastolic function (E/A ratio 1.1 (0.8, 2.8)) were intermediate.
Conclusion
AS-amyloidosis is not a double insult from AS and amyloidosis, but a mixed phenotype with features similar to lone amyloidosis (cardiac biomarkers), lone AS (remodelling and LVEF) or intermediate (diastology and CTS).
Characteristics across all 4 groups Variable Older age controls (n = 81) Lone AS (n = 359) AS-amyloidosis (n = 36) Lone amyloidosis (n = 107) P value Age (years) 82 (80, 84)*†‡ 85 (80, 88)§∞ 88 (85, 92)# 80 (75, 84) <0.005 Sex (% male) 69 *‡ 49 ∞ 61 # 94 <0.005 Carpal tunnel syndrome (%) 0 2 § 17 # 38 <0.005 Voltage/mass ratio 0.22 (0.14, 0.27)‡ 0.18 (0.13, 0.28)∞ 0.18 (0.09, 0.21)# 0.07 (0.05, 0.10) <0.005 NT-ProBNP (ng/L) 131 (66, 221)*†‡ 1629 (639, 3941)§∞ 4149 (1449, 6459) 2888 (1755, 5483) <0.005 hsTnT (ng/L) 12 (8, 17)*†‡ 24 (15, 40)§∞ 56 (34, 100) 62 (41, 82) <0.005 Inferolateral wall thickness (cm) 0.9 (0.8, 1.0)*†‡ 1.1 (0.9, 1.3)∞ 1.3 (1.1, 1.5)# 1.7 (1.6, 1.9) <0.005 Anteroseptal wall thickness (cm) 1.0 (0.9, 1.2)*†‡ 1.4 (1.2, 1.6)§∞ 1.5 (1.3, 1.8) 1.7 (1.6, 1.9) <0.005 Indexed LV mass (g/m2) 79 (66, 102)*†‡ 128 (99, 152)∞ 126 (116, 140)# 174 (159, 200) <0.005 LVEF (%) 59 (54, 63)‡ 59 (50, 65)∞ 57 (45, 64)# 39 (31, 48) <0.005 Lateral S" (m/s) 0.08 (0.07, 0.09)*†‡ 0.07 (0.05, 0.08)§∞ 0.05 (0.04, 0.07) 0.05 (0.04, 0.06) <0.005 Septal S" (m/s) 0.06 (0.06, 0.08)*†‡ 0.05 (0.04, 0.06)∞ 0.04 (0.03, 0.06) 0.04 (0.03, 0.05) <0.005 E/A 0.7 (0.6, 0.8)*†‡ 0.8 (0.7, 1.3)§∞ 1.1 (0.8, 2.8)# 2.4 (1.8, 3.3) <0.005 RV Wall thickness (cm) 0.4 (0.3, 0.4)*†‡ 0.4 (0.4, 0.6)∞ 0.6 (0.4, 0.7)# 0.8 (0.7, 1.0) <0.005 TAPSE (cm) 2.4 (2.0, 2.7)*†‡ 2.1 (1.6, 2.5)∞ 1.9 (1.5, 2.1)# 1.4 (1.2, 1.9) <0.005 Classical LFLG AS (%) 9 13 0.472 * p < 0.05, Old age control vs Lone AS † p < 0.05, Old age control vs AS-amyloidosis ‡ p < 0.05, Old age control vs Lone amyloidosis § p < 0.05, Lone AS vs AS-amyloidosis ∞ p < 0.05, Lone AS vs Lone amyloidosis # p < 0.05, AS-amyloidosis vs Lone amyloidosis Abstract Figure. AS-amyloidosis compared to other cohorts
Collapse
Affiliation(s)
- K Patel
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - P Scully
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - C Nitsche
- Medical University of Vienna, Department of Cardiology, Vienna, Austria
| | - S Williams
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - T Tillin
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - G Captur
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - L Chako
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - J Newton
- John Radcliffe Hospital, Oxford, United Kingdom of Great Britain & Northern Ireland
| | - S Kennon
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - L Menezes
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - F Pugliese
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - M Fontana
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - TA Treibel
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | - J Mascherbauer
- Medical University of Vienna, Department of Cardiology, Vienna, Austria
| | - JC Moon
- St Bartholomew"s Hospital, London, United Kingdom of Great Britain & Northern Ireland
| |
Collapse
|
32
|
Al Saikhan L, Alobaida M, Bhuva A, Chaturvedi N, Heasman J, Hughes AD, Jones S, Eastwood S, Manisty C, March K, Ghosh AK, Mayet J, Oguntade A, Tillin T, Williams S, Wright A, Park C. Corrigendum: Imaging Protocol, Feasibility, and Reproducibility of Cardiovascular Phenotyping in a Large Tri-Ethnic Population-Based Study of Older People: The Southall and Brent Revisited (SABRE) Study. Front Cardiovasc Med 2021; 8:769050. [PMID: 34805323 PMCID: PMC8600359 DOI: 10.3389/fcvm.2021.769050] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 10/11/2021] [Indexed: 11/27/2022] Open
Abstract
[This corrects the article DOI: 10.3389/fcvm.2020.591946.].
Collapse
Affiliation(s)
- Lamia Al Saikhan
- Department of Cardiac Technology, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Muath Alobaida
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom.,Department of Basic Science, Prince Sultan bin Abdulaziz College for Emergency Medical Services, King Saud University, Riyadh, Saudi Arabia
| | - Anish Bhuva
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - John Heasman
- National Heart & Lung Institute, Imperial College London and Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, United Kingdom
| | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Siana Jones
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Sophie Eastwood
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Charlotte Manisty
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Katherine March
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Arjun K Ghosh
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom.,Cardio-Oncology Service, Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, St Bartholomew's Hospital, London, United Kingdom.,Cardio-Oncology Service, Department of Cardiology, University College London Hospital, London, United Kingdom
| | - Jamil Mayet
- National Heart & Lung Institute, Imperial College London and Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, United Kingdom
| | - Ayodipupo Oguntade
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Suzanne Williams
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Andrew Wright
- National Heart & Lung Institute, Imperial College London and Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, United Kingdom
| | - Chloe Park
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| |
Collapse
|
33
|
Joshi R, Hingorani A, Engmann J, Dale C, Gaunt T, Jefferis B, Lawlor D, Price J, Papacosta O, Shah T, Tillin T, Chaturvedi N, Kivimaki M, Kuh D, Kumari M, Hughes A, Whincup P, Casas J, Humphries S, Schmidt A, Wannamethee S. Establishing reference intervals for triglyceride containing lipoprotein sub-fraction metabolites measured using nuclear magnetic resonance spectroscopy in a UK population. Atherosclerosis 2020. [DOI: 10.1016/j.atherosclerosis.2020.10.295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
34
|
Al Saikhan L, Alobaida M, Bhuva A, Chaturvedi N, Heasman J, Hughes AD, Jones S, Eastwood S, Manisty C, March K, Ghosh AK, Mayet J, Oguntade A, Tillin T, Williams S, Wright A, Park C. Imaging Protocol, Feasibility, and Reproducibility of Cardiovascular Phenotyping in a Large Tri-Ethnic Population-Based Study of Older People: The Southall and Brent Revisited (SABRE) Study. Front Cardiovasc Med 2020; 7:591946. [PMID: 33304933 PMCID: PMC7693529 DOI: 10.3389/fcvm.2020.591946] [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] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 10/05/2020] [Indexed: 11/23/2022] Open
Abstract
Background: People of South Asian and African Caribbean ethnicities living in UK have a high risk of cardiometabolic disease. Limited data exist regarding detailed cardiometabolic phenotyping in this population. Methods enabling this are widely available, but the practical aspects of undertaking such studies in large and diverse samples are seldom reported. Methods: The Southall and Brent Revisited (SABRE) study is the UK's largest tri-ethnic longitudinal cohort. Over 1,400 surviving participants (58-85 years) attended the 2nd study visit (2008-2011); during which, comprehensive cardiovascular phenotyping, including 3D-echocardiography [3D-speckle-tracking (3D-STE)], computed tomography, coronary artery calcium scoring, pulse wave velocity, central blood pressure, carotid artery ultrasound, and retinal imaging, were performed. We describe the methods used with the aim of providing a guide to their feasibility and reproducibility in a large tri-ethnic population-based study of older people. Results: Conventional echocardiography and all vascular measurements showed high feasibility (>90% analyzable of clinic attendees), but 3D-echocardiography (3DE) and 3D-STE were less feasible (76% 3DE acquisition feasibility and 38% 3D-STE feasibility of clinic attendees). 3D-STE feasibility differed by ethnicity, being lowest in South Asian participants and highest in African Caribbean participants (p < 0.0001). Similar trends were observed in men (P < 0.0001) and women (P = 0.005); however, in South Asians, there were more women with unreadable 3D-images compared to men (67 vs. 58%). Intra- and inter-observer variabilities were excellent for most of conventional and advanced echocardiographic measures. The test-retest reproducibility was good-excellent and fair-good for conventional and advanced echocardiographic measures, respectively, but lower than when re-reading the same images. All vascular measures demonstrated excellent or fair-good reproducibility. Conclusions: We describe the feasibility and reproducibility of detailed cardiovascular phenotyping in an ethnically diverse population. The data collected will lead to a better understanding of why people of South Asian and African Caribbean ancestry are at elevated risk of cardiometabolic diseases.
Collapse
Affiliation(s)
- Lamia Al Saikhan
- Department of Cardiac Technology, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Muath Alobaida
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
- Department of Basic Science, Prince Sultan Bin Abdulaziz College for Emergency Medical Services, King Saud University, Riyadh, Saudi Arabia
| | - Anish Bhuva
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - John Heasman
- National Heart & Lung Institute, Imperial College London and Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, United Kingdom
| | - Alun D. Hughes
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Siana Jones
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Sophie Eastwood
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Charlotte Manisty
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Katherine March
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Arjun K. Ghosh
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
- Cardio-Oncology Service, Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, St Bartholomew's Hospital, London, United Kingdom
- Cardio-Oncology Service, Department of Cardiology, University College London Hospital, London, United Kingdom
| | - Jamil Mayet
- National Heart & Lung Institute, Imperial College London and Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, United Kingdom
| | - Ayodipupo Oguntade
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Suzanne Williams
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Andrew Wright
- National Heart & Lung Institute, Imperial College London and Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, United Kingdom
| | - Chloe Park
- MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| |
Collapse
|
35
|
Vyas M, Chaturvedi N, Hughes A, Marmot M, Tillin T. Cardiovascular disease recurrence and long-term mortality in a tri-ethnic British cohort: a retrospective study. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.3561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
People of South Asian and of African Caribbean descent have elevated risks of some cardiovascular diseases compared to Europeans. How ethnicity relates to recurrent risk, and explanations for between ethnic group differences in recurrence are unclear. We characterized long-term risk of major adverse cardiovascular event (MACE) and mortality following a non-fatal cardiovascular event in a tri-ethnic British cohort.
Methods
We linked hospital and mortality records of a population-based cohort of South Asian, African Caribbean and European men and women aged 40–69 years with no prior history of cardiovascular disease. We identified index and recurrent cardiovascular events (stroke, transient ischaemic attack, myocardial infarction, or ischaemic heart disease), and mortality from 1988 to 2017. Using multivariable proportional hazards models, we separately calculated the adjusted hazard ratios (HR) of MACE and death following index event. We adjusted for demographics, vascular and lifestyle risk factors. We used interaction terms to evaluate if diabetes or decade of index event modified the association between ethnicity and outcomes.
Results
We included 801 participants with first non-fatal cardiovascular events, 647 coronary and 127 cerebrovascular, of whom 335 (41.8%) were European, 396 (49.5%) South Asian, and 70 (8.7%) African Caribbean. During a mean follow-up of 5.3 years, 537 patients developed MACE and 338 died. Crude incidence rate of MACE was higher in South Asians (135.9 per 1000-person-years) compared to Europeans (117.1) and African Caribbeans (123.6). Higher risk of MACE in South Asian compared to Europeans was eliminated in the adjusted models (HR 0.97, 95% confidence interval 0.77–1.21), whereas their mortality advantage was eliminated when the younger age at index event was accounted for (HR 0.95, 0.72–1.26). African Caribbeans had similar outcomes to Europeans (HR MACE 1.04, 0.74–1.47; and HR death 1.07, 0.70–1.64). There was no modification by diabetes for outcomes, whereas survival following index event improved more in South Asian, than African Caribbean, compared to European over three decades (Pinteraction = 0.04).
Conclusions
Baseline vascular risk factors explained the observed ethnic variation in cardiovascular disease recurrence and long-term mortality, with a relative improvement in survival of minority ethnic groups over time.
Funding Acknowledgement
Type of funding source: Public grant(s) – National budget only. Main funding source(s): UK Medical Research Council, Wellcome Trust
Collapse
Affiliation(s)
- M Vyas
- University of Toronto, Toronto, Canada
| | - N Chaturvedi
- University College London, Medical Research Council Unit for Lifelong Health and Ageing, London, United Kingdom
| | - A Hughes
- University College London, Medical Research Council Unit for Lifelong Health and Ageing, London, United Kingdom
| | - M Marmot
- University College London, Institute of Health Equity, London, United Kingdom
| | - T Tillin
- University College London, Medical Research Council Unit for Lifelong Health and Ageing, London, United Kingdom
| |
Collapse
|
36
|
Wang J, Tillin T, Hughes AD, Richards M, Sattar N, Park C, Chaturvedi N. Subclinical macro and microvascular disease is differently associated with depressive symptoms in men and women: Findings from the SABRE population-based study. Atherosclerosis 2020; 312:35-42. [PMID: 32971394 PMCID: PMC7594642 DOI: 10.1016/j.atherosclerosis.2020.09.005] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 08/04/2020] [Accepted: 09/08/2020] [Indexed: 12/04/2022]
Abstract
BACKGROUND AND AIMS Mechanisms underlying the association between cardiovascular disease (CVD) and depression are unknown, and sex differences understudied. We investigated associations between a comprehensive set of measures of macro and microvascular disease and depressive symptoms in older men and women. METHODS We performed cross-sectional analyses of the SABRE (Southall And Brent REvisited) population-based study. Participants (1396) attended clinic between 2008 and 2011 for assessment of subclinical macrovascular (carotid ultrasound, echocardiography, cerebral magnetic resonance imaging) and microvascular (retinopathy, nephropathy) disease, and depression. RESULTS Mean age of 1396 participants was 69.5 years, and 76.2% were male. The median (interquartile range) of depression score was 1 [0, 2] for men and 1 [0, 3] for women. All measures of subclinical macro and microvascular disease were adversely associated with depressive symptoms, even when known CVD was excluded. Physical activity partly explained some of these relationships. The association between left atrial dimension index (LADI), a measure of chronic elevated left ventricular filling pressure, and depressive symptoms was stronger in women (regression coefficient 0.23 [95% CI 0.11, 0.35]) than men (0.07 [-0.01, 0.15]), p for interaction 0.06, on multivariable adjustment. CONCLUSIONS Subclinical macro and microvascular disease is associated with depressive symptoms, even in the absence of established CVD. These were in part accounted for by physical activity. We observed stronger association between LADI and depressive symptoms in women than in men. The beneficial role of physical activity in abrogating the association between subclinical CVD and depression warrants further investigation.
Collapse
Affiliation(s)
- Jingyi Wang
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, United Kingdom; Department of Social Medicine, School of Public Health, Fudan University, Shanghai, China.
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, United Kingdom.
| | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Chloe Park
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, United Kingdom
| |
Collapse
|
37
|
Joshi R, Wannamethee G, Engmann J, Gaunt T, Lawlor DA, Price J, Papacosta O, Shah T, Tillin T, Whincup P, Chaturvedi N, Kivimaki M, Kuh D, Kumari M, Hughes AD, Casas JP, Humphries SE, Hingorani AD, Schmidt AF. Establishing reference intervals for triglyceride-containing lipoprotein subfraction metabolites measured using nuclear magnetic resonance spectroscopy in a UK population. Ann Clin Biochem 2020; 58:47-53. [PMID: 32936666 PMCID: PMC7791273 DOI: 10.1177/0004563220961753] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Nuclear magnetic resonance (NMR) spectroscopy allows triglycerides to be subclassified into 14 different classes based on particle size and lipid content. We recently showed that these subfractions have differential associations with cardiovascular disease events. Here we report the distributions and define reference interval ranges for 14 triglyceride-containing lipoprotein subfraction metabolites. METHODS Lipoprotein subfractions using the Nightingale NMR platform were measured in 9073 participants from four cohort studies contributing to the UCL-Edinburgh-Bristol consortium. The distribution of each metabolite was assessed, and reference interval ranges were calculated for a disease-free population, by sex and age group (<55, 55-65, >65 years), and in a subgroup population of participants with cardiovascular disease or type 2 diabetes. We also determined the distribution across body mass index and smoking status. RESULTS The largest reference interval range was observed in the medium very-low density lipoprotein subclass (2.5th 97.5th percentile; 0.08 to 0.68 mmol/L). The reference intervals were comparable among male and female participants, with the exception of triglyceride in high-density lipoprotein. Triglyceride subfraction concentrations in very-low density lipoprotein, intermediate-density lipoprotein, low-density lipoprotein and high-density lipoprotein subclasses increased with increasing age and increasing body mass index. Triglyceride subfraction concentrations were significantly higher in ever smokers compared to never smokers, among those with clinical chemistry measured total triglyceride greater than 1.7 mmol/L, and in those with cardiovascular disease, and type 2 diabetes as compared to disease-free subjects. CONCLUSION This is the first study to establish reference interval ranges for 14 triglyceride-containing lipoprotein subfractions in samples from the general population measured using the nuclear magnetic resonance platform. The utility of nuclear magnetic resonance lipid measures may lead to greater insights for the role of triglyceride in cardiovascular disease, emphasizing the importance of appropriate reference interval ranges for future clinical decision making.
Collapse
Affiliation(s)
- Roshni Joshi
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK
| | - Goya Wannamethee
- Department of Primary Care & Population Health, Faculty of Population Health, University College London, London, UK
| | - Jorgen Engmann
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK
| | - Tom Gaunt
- Department of Primary Care & Population Health, Faculty of Population Health, University College London, London, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.,Bristol NIHR Biomedical Research Centre, Bristol, UK.,Population Health Science, Bristol Medical School, Bristol, UK
| | - Jackie Price
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Olia Papacosta
- Department of Primary Care & Population Health, Faculty of Population Health, University College London, London, UK
| | - Tina Shah
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK
| | - Therese Tillin
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Peter Whincup
- Population Health Research Institute, St George's, University of London, London, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK
| | - Meena Kumari
- Institute for Social and Economic Research, University of Essex, Colchester, UK
| | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK
| | - Juan P Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare, MA, USA.,Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard School of Medicine, Boston, MA, USA
| | - Steve E Humphries
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK
| | - A Floriaan Schmidt
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK.,Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht, the Netherlands
| | | |
Collapse
|
38
|
Molinari M, de Iorio M, Chaturvedi N, Hughes A, Tillin T. Modelling ethnic differences in the distribution of insulin resistance via Bayesian nonparametric processes: an application to the SABRE cohort study. Int J Biostat 2020; 17:153-164. [PMID: 32866119 DOI: 10.1515/ijb-2019-0108] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 07/27/2020] [Indexed: 11/15/2022]
Abstract
We analyse data from the Southall And Brent REvisited (SABRE) tri-ethnic study, where measurements of metabolic and anthropometric variables have been recorded. In particular, we focus on modelling the distribution of insulin resistance which is strongly associated with the development of type 2 diabetes. We propose the use of a Bayesian nonparametric prior to model the distribution of Homeostasis Model Assessment insulin resistance, as it allows for data-driven clustering of the observations. Anthropometric variables and metabolites concentrations are included as covariates in a regression framework. This strategy highlights the presence of sub-populations in the data, characterised by different levels of risk of developing type 2 diabetes across ethnicities. Posterior inference is performed through Markov Chains Monte Carlo (MCMC) methods.
Collapse
Affiliation(s)
| | | | | | - Alun Hughes
- UCL, Population Science & Experimental Medicine, London, UK
| | - Therese Tillin
- UCL, Population Science & Experimental Medicine, London, UK
| |
Collapse
|
39
|
Štambuk J, Nakić N, Vučković F, Pučić-Baković M, Razdorov G, Trbojević-Akmačić I, Novokmet M, Keser T, Vilaj M, Štambuk T, Gudelj I, Šimurina M, Song M, Wang H, Salihović MP, Campbell H, Rudan I, Kolčić I, Eller LA, McKeigue P, Robb ML, Halfvarson J, Kurtoglu M, Annese V, Škarić-Jurić T, Molokhia M, Polašek O, Hayward C, Kibuuka H, Thaqi K, Primorac D, Gieger C, Nitayaphan S, Spector T, Wang Y, Tillin T, Chaturvedi N, Wilson JF, Schanfield M, Filipenko M, Wang W, Lauc G. Global variability of the human IgG glycome. Aging (Albany NY) 2020; 12:15222-15259. [PMID: 32788422 PMCID: PMC7467356 DOI: 10.18632/aging.103884] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 07/25/2020] [Indexed: 12/20/2022]
Abstract
Immunoglobulin G (IgG) is the most abundant serum antibody which structural characteristics and effector functions are modulated through the attachment of various sugar moieties called glycans. Composition of the IgG N-glycome changes with age of an individual and in different diseases. Variability of IgG glycosylation within a population is well studied and is known to be affected by both genetic and environmental factors. However, global inter-population differences in IgG glycosylation have never been properly addressed. Here we present population-specific N-glycosylation patterns of IgG, analyzed in 5 different populations totaling 10,482 IgG glycomes, and of IgG’s fragment crystallizable region (Fc), analyzed in 2,579 samples from 27 populations sampled across the world. Country of residence associated with many N-glycan features and the strongest association was with monogalactosylation where it explained 38% of variability. IgG monogalactosylation strongly correlated with the development level of a country, defined by United Nations health and socioeconomic development indicators, and with the expected lifespan. Subjects from developing countries had low levels of IgG galactosylation, characteristic for inflammation and ageing. Our results suggest that citizens of developing countries may be exposed to environmental factors that can cause low-grade chronic inflammation and the apparent increase in biological age.
Collapse
Affiliation(s)
- Jerko Štambuk
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Natali Nakić
- Department of Neuroscience, Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy
| | | | | | | | | | | | - Toma Keser
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Marija Vilaj
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Tamara Štambuk
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Mirna Šimurina
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Manshu Song
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Hao Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | | | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom
| | - Ivana Kolčić
- School of Medicine, University of Split, Split, Croatia
| | - Leigh Anne Eller
- Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA
| | - Paul McKeigue
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom
| | - Merlin L Robb
- Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA
| | - Jonas Halfvarson
- Department of Gastroenterology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Metin Kurtoglu
- Department of Oncology, Koç University School of Medicine, Istanbul, Turkey
| | - Vito Annese
- Careggi University Hospital, Florence, Italy
| | | | - Mariam Molokhia
- School of Population Health and Environmental Sciences, King's College London, London, United Kingdom
| | - Ozren Polašek
- School of Medicine, University of Split, Split, Croatia
| | - Caroline Hayward
- MRC Human Genetics Unit, MRC Institute for Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Hannah Kibuuka
- Makerere University Walter Reed Project, Kampala, Uganda
| | - Kujtim Thaqi
- Institute of Clinical Biochemistry, Priština, Kosovo
| | | | - Christian Gieger
- Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Tim Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Therese Tillin
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, London, United Kingdom
| | - Nish Chaturvedi
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, London, United Kingdom
| | - James F Wilson
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom.,MRC Human Genetics Unit, MRC Institute for Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Moses Schanfield
- Department of Forensic Sciences, George Washington University, Washington, DC 20007, USA
| | - Maxim Filipenko
- Institute of Chemical Biology and Fundamental Medicine, Novosibirsk, Russia
| | - Wei Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia.,Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| |
Collapse
|
40
|
Bauermeister S, Orton C, Thompson S, Barker RA, Bauermeister JR, Ben-Shlomo Y, Brayne C, Burn D, Campbell A, Calvin C, Chandran S, Chaturvedi N, Chêne G, Chessell IP, Corbett A, Davis DHJ, Denis M, Dufouil C, Elliott P, Fox N, Hill D, Hofer SM, Hu MT, Jindra C, Kee F, Kim CH, Kim C, Kivimaki M, Koychev I, Lawson RA, Linden GJ, Lyons RA, Mackay C, Matthews PM, McGuiness B, Middleton L, Moody C, Moore K, Na DL, O'Brien JT, Ourselin S, Paranjothy S, Park KS, Porteous DJ, Richards M, Ritchie CW, Rohrer JD, Rossor MN, Rowe JB, Scahill R, Schnier C, Schott JM, Seo SW, South M, Steptoe M, Tabrizi SJ, Tales A, Tillin T, Timpson NJ, Toga AW, Visser PJ, Wade-Martins R, Wilkinson T, Williams J, Wong A, Gallacher JEJ. The Dementias Platform UK (DPUK) Data Portal. Eur J Epidemiol 2020; 35:601-611. [PMID: 32328990 PMCID: PMC7320955 DOI: 10.1007/s10654-020-00633-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [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: 02/14/2020] [Accepted: 04/10/2020] [Indexed: 11/18/2022]
Abstract
The Dementias Platform UK Data Portal is a data repository facilitating access to data for 3 370 929 individuals in 42 cohorts. The Data Portal is an end-to-end data management solution providing a secure, fully auditable, remote access environment for the analysis of cohort data. All projects utilising the data are by default collaborations with the cohort research teams generating the data. The Data Portal uses UK Secure eResearch Platform infrastructure to provide three core utilities: data discovery, access, and analysis. These are delivered using a 7 layered architecture comprising: data ingestion, data curation, platform interoperability, data discovery, access brokerage, data analysis and knowledge preservation. Automated, streamlined, and standardised procedures reduce the administrative burden for all stakeholders, particularly for requests involving multiple independent datasets, where a single request may be forwarded to multiple data controllers. Researchers are provided with their own secure 'lab' using VMware which is accessed using two factor authentication. Over the last 2 years, 160 project proposals involving 579 individual cohort data access requests were received. These were received from 268 applicants spanning 72 institutions (56 academic, 13 commercial, 3 government) in 16 countries with 84 requests involving multiple cohorts. Projects are varied including multi-modal, machine learning, and Mendelian randomisation analyses. Data access is usually free at point of use although a small number of cohorts require a data access fee.
Collapse
Affiliation(s)
| | | | - Simon Thompson
- Swansea University Medical School, Swansea University, Swansea, UK
| | - Roger A Barker
- Cambridge University Department of Clinical Neurosciences and Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Carol Brayne
- Department of Public Health, University of Cambridge, Cambridge, UK
| | - David Burn
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Archie Campbell
- Department of Medical Genetics, University of Edinburgh, Edinburgh, UK
| | | | | | | | - Geneviève Chêne
- Bordeaux Population Health, Université Bordeaux, Bordeaux, France
| | | | - Anne Corbett
- College of Medicine and Health, University of Exeter, Exeter, UK
| | | | - Mike Denis
- Oxford Academic Health Science Network, University of Oxford, Oxford, UK
| | - Carole Dufouil
- Bordeaux Population Health, Université Bordeaux, Bordeaux, France
| | - Paul Elliott
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Imperial College NIHR Biomedical Research Centre, Imperial College London, London, UK
- Health Data Research UK London at Imperial College London, London, UK
| | - Nick Fox
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | | | - Scott M Hofer
- Department of Psychology, University of Victoria, Victoria, Canada
| | - Michele T Hu
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | | | - Frank Kee
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Chi-Hun Kim
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Changsoo Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Mika Kivimaki
- Institute of Epidemiology and Health, University College London, London, UK
| | - Ivan Koychev
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Rachael A Lawson
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Gerry J Linden
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Ronan A Lyons
- Swansea University Medical School, Swansea University, Swansea, UK
| | - Clare Mackay
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Paul M Matthews
- Division of Brain Sciences and UK Dementia Research Institute, Imperial College London, London, UK
| | | | - Lefkos Middleton
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | | | - Katrina Moore
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Sebastien Ourselin
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | | | - Ki-Soo Park
- Institute of Health Science, Gyeongsang National University, Jinju-si, South Korea
| | - David J Porteous
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | | | - Craig W Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Martin N Rossor
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - James B Rowe
- Cambridge University Department of Clinical Neurosciences and Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Rachael Scahill
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Christian Schnier
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Jonathan M Schott
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Sang W Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Matthew South
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Matthew Steptoe
- Department of Behavioural Science and Health, UCL, London, UK
| | - Sarah J Tabrizi
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Andrea Tales
- Centre for Innovative Ageing, Swansea University, Swansea, UK
| | | | | | | | - Pieter-Jelle Visser
- VU University Medical Centre, Maastricht University, Maastricht, The Netherlands
| | - Richard Wade-Martins
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Tim Wilkinson
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Julie Williams
- Institute of Psychological Medicine and Clinical Neurosciences, and UK Dementia Research Institute, Cardiff University, Cardiff, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing, UCL, London, UK
| | | |
Collapse
|
41
|
Kettunen J, Holmes MV, Allara E, Anufrieva O, Ohukainen P, Oliver-Williams C, Wang Q, Tillin T, Hughes AD, Kähönen M, Lehtimäki T, Viikari J, Raitakari OT, Salomaa V, Järvelin MR, Perola M, Smith GD, Chaturvedi N, Danesh J, Di Angelantonio E, Butterworth AS, Ala-Korpela M. Correction: Lipoprotein signatures of cholesteryl ester transfer protein and HMG-CoA reductase inhibition. PLoS Biol 2020; 18:e3000694. [PMID: 32142508 PMCID: PMC7059900 DOI: 10.1371/journal.pbio.3000694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
|
42
|
Borges MC, Schmidt AF, Jefferis B, Wannamethee SG, Lawlor DA, Kivimaki M, Kumari M, Gaunt TR, Ben-Shlomo Y, Tillin T, Menon U, Providencia R, Dale C, Gentry-Maharaj A, Hughes A, Chaturvedi N, Casas JP, Hingorani AD. Circulating Fatty Acids and Risk of Coronary Heart Disease and Stroke: Individual Participant Data Meta-Analysis in Up to 16 126 Participants. J Am Heart Assoc 2020; 9:e013131. [PMID: 32114887 PMCID: PMC7335585 DOI: 10.1161/jaha.119.013131] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background We aimed at investigating the association of circulating fatty acids with coronary heart disease (CHD) and stroke risk. Methods and Results We conducted an individual-participant data meta-analysis of 5 UK-based cohorts and 1 matched case-control study. Fatty acids (ie, omega-3 docosahexaenoic acid, omega-6 linoleic acid, monounsaturated and saturated fatty acids) were measured at baseline using an automated high-throughput serum nuclear magnetic resonance metabolomics platform. Data from 3022 incident CHD cases (13 104 controls) and 1606 incident stroke cases (13 369 controls) were included. Logistic regression was used to model the relation between fatty acids and odds of CHD and stroke, adjusting for demographic and lifestyle variables only (ie, minimally adjusted model) or with further adjustment for other fatty acids (ie, fully adjusted model). Although circulating docosahexaenoic acid, but not linoleic acid, was related to lower CHD risk in the fully adjusted model (odds ratio, 0.85; 95% CI, 0.76-0.95 per standard unit of docosahexaenoic acid), there was evidence of high between-study heterogeneity and effect modification by study design. Stroke risk was consistently lower with increasing circulating linoleic acid (odds ratio for fully adjusted model, 0.82; 95% CI, 0.75-0.90). Circulating monounsaturated fatty acids were associated with higher CHD risk across all models and with stroke risk in the fully adjusted model (odds ratio, 1.22; 95% CI, 1.03-1.44). Saturated fatty acids were not related to increased CHD risk in the fully adjusted model (odds ratio, 0.94; 95% CI, 0.82-1.09), or stroke risk. Conclusions We found consistent evidence that linoleic acid was associated with decreased risk of stroke and that monounsaturated fatty acids were associated with increased risk of CHD. The different pattern between CHD and stroke in terms of fatty acids risk profile suggests future studies should be cautious about using composite events. Different study designs are needed to assess which, if any, of the associations observed is causal.
Collapse
Affiliation(s)
- Maria Carolina Borges
- MRC Integrative Epidemiology Unit at the University of Bristol United Kingdom.,Population Health Sciences Bristol Medical School University of Bristol United Kingdom
| | - Amand Floriaan Schmidt
- Institute of Cardiovascular Science University College London London United Kingdom.,Groningen Research Institute of Pharmacy University of Groningen the Netherlands.,Division Heart and Lungs Department of Cardiology University Medical Center Utrecht Utrecht The Netherlands
| | - Barbara Jefferis
- UCL Department of Primary Care & Population Health UCL Medical School London United Kingdom
| | - S Goya Wannamethee
- UCL Department of Primary Care & Population Health UCL Medical School London United Kingdom
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol United Kingdom.,Population Health Sciences Bristol Medical School University of Bristol United Kingdom
| | - Mika Kivimaki
- Department of Epidemiology and Public Health University College London London United Kingdom
| | - Meena Kumari
- Department of Epidemiology and Public Health University College London London United Kingdom.,Institute for Social and Economic Research University of Essex United Kingdom
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit at the University of Bristol United Kingdom.,Population Health Sciences Bristol Medical School University of Bristol United Kingdom
| | - Yoav Ben-Shlomo
- Population Health Sciences Bristol Medical School University of Bristol United Kingdom
| | - Therese Tillin
- Cardiometabolic Phenotyping Group Institute of Cardiovascular Science University College London London United Kingdom
| | - Usha Menon
- MRC Clinical Trials Unit at UCL Institute of Clinical Trials & MethodologyUniversity College London London United Kingdom
| | - Rui Providencia
- Farr Institute of Health Informatics University College London London United Kingdom.,Barts Heart Centre St Bartholomew's Hospital Barts Health NHS Trust London United Kingdom
| | - Caroline Dale
- Farr Institute of Health Informatics University College London London United Kingdom
| | - Aleksandra Gentry-Maharaj
- MRC Clinical Trials Unit at UCL Institute of Clinical Trials & MethodologyUniversity College London London United Kingdom
| | - Alun Hughes
- Institute of Cardiovascular Science University College London London United Kingdom
| | - Nish Chaturvedi
- Institute of Cardiovascular Science University College London London United Kingdom
| | - Juan Pablo Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA
| | - Aroon D Hingorani
- Institute of Cardiovascular Science University College London London United Kingdom.,Farr Institute of Health Informatics University College London London United Kingdom
| | | |
Collapse
|
43
|
Jones S, Tillin T, Williams S, Eastwood SV, Hughes AD, Chaturvedi N. Type 2 diabetes does not account for ethnic differences in exercise capacity or skeletal muscle function in older adults. Diabetologia 2020; 63:624-635. [PMID: 31820039 PMCID: PMC6997264 DOI: 10.1007/s00125-019-05055-w] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 10/29/2019] [Indexed: 01/14/2023]
Abstract
AIMS/HYPOTHESIS The aim of this study was to compare exercise capacity, strength and skeletal muscle perfusion during exercise, and oxidative capacity between South Asians, African Caribbeans and Europeans, and determine what effect ethnic differences in the prevalence of type 2 diabetes has on these functional outcomes. METHODS In total, 708 participants (aged [mean±SD] 73 ± 7 years, 56% male) were recruited from the Southall and Brent Revisited (SABRE) study, a UK population-based cohort comprised of Europeans (n = 311) and South Asian (n = 232) and African Caribbean (n = 165) migrants. Measurements of exercise capacity using a 6 min stepper test (6MST), including measurement of oxygen consumption ([Formula: see text]) and grip strength, were performed. Skeletal muscle was assessed using near infrared spectroscopy (NIRS); measures included changes in tissue saturation index (∆TSI%) with exercise and oxidative capacity (muscle oxygen consumption recovery, represented by a time constant [τ]). Analysis was by multiple linear regression. RESULTS When adjusted for age and sex, in South Asians and African Caribbeans, exercise capacity was reduced compared with Europeans ([Formula: see text] [ml min-1 kg-1]: β = -1.2 [95% CI -1.9, -0.4], p = 0.002, and β -1.7 [95% CI -2.5, -0.8], p < 0.001, respectively). South Asians had lower and African Caribbeans had higher strength compared with Europeans (strength [kPa]: β = -9 [95% CI -12, -6), p < 0.001, and β = 6 [95% CI 3, 9], p < 0.001, respectively). South Asians had greater decreases in TSI% and longer τ compared with Europeans (∆TSI% [%]: β = -0.9 [95% CI -1.7, -0.1), p = 0.024; τ [s]: β = 11 [95% CI 3, 18], p = 0.006). Ethnic differences in [Formula: see text] and grip strength remained despite adjustment for type 2 diabetes or HbA1c (and fat-free mass for grip strength). However, the differences between Europeans and South Asians were no longer statistically significant after adjustment for other possible mediators or confounders (including physical activity, waist-to-hip ratio, cardiovascular disease or hypertension, smoking, haemoglobin levels or β-blocker use). The difference in ∆TSI% between Europeans and South Asians was marginally attenuated after adjustment for type 2 diabetes or HbA1c and was also no longer statistically significant after adjusting for other confounders; however, τ remained significantly longer in South Asians vs Europeans despite adjustment for all confounders. CONCLUSIONS/INTERPRETATION Reduced exercise capacity in South Asians and African Caribbeans is unexplained by higher rates of type 2 diabetes. Poorer exercise tolerance in these populations, and impaired muscle function and perfusion in South Asians, may contribute to the higher morbidity burden of UK ethnic minority groups in older age.
Collapse
Affiliation(s)
- Siana Jones
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, Gower Street, London, WC1E 6BT, UK.
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, Gower Street, London, WC1E 6BT, UK
| | - Suzanne Williams
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, Gower Street, London, WC1E 6BT, UK
| | - Sophie V Eastwood
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, Gower Street, London, WC1E 6BT, UK
| | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, Gower Street, London, WC1E 6BT, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, Gower Street, London, WC1E 6BT, UK
| |
Collapse
|
44
|
Kazmi N, Elliott HR, Burrows K, Tillin T, Hughes AD, Chaturvedi N, Gaunt TR, Relton CL. Associations between high blood pressure and DNA methylation. PLoS One 2020; 15:e0227728. [PMID: 31999706 PMCID: PMC6991984 DOI: 10.1371/journal.pone.0227728] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [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] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 12/29/2019] [Indexed: 12/14/2022] Open
Abstract
Background High blood pressure is a major risk factor for cardiovascular disease and is influenced by both environmental and genetic factors. Epigenetic processes including DNA methylation potentially mediate the relationship between genetic factors, the environment and cardiovascular disease. Despite an increased risk of hypertension and cardiovascular disease in individuals of South Asians compared to Europeans, it is not clear whether associations between blood pressure and DNA methylation differ between these groups. Methods We performed an epigenome-wide association study and differentially methylated region (DMR) analysis to identify DNA methylation sites and regions that were associated with systolic blood pressure, diastolic blood pressure and hypertension. We analyzed samples from 364 European and 348 South Asian men (first generation migrants to the UK) from the Southall And Brent REvisited cohort, measuring DNA methylation from blood using the Illumina Infinium® HumanMethylation450 BeadChip. Results One CpG site was found to be associated with DBP in trans-ancestry analyses (i.e. both ethnic groups combined), while in Europeans alone seven CpG sites were associated with DBP. No associations were identified between DNA methylation and either SBP or hypertension. Comparison of effect sizes between South Asian and European EWAS for DBP, SBP and hypertension revealed little concordance between analyses. DMR analysis identified several regions with known relationships with CVD and its risk factors. Conclusion This study identified differentially methylated sites and regions associated with blood pressure and revealed ethnic differences in these associations. These findings may point to molecular pathways which may explain the elevated cardiovascular disease risk experienced by those of South Asian ancestry when compared to Europeans.
Collapse
Affiliation(s)
- Nabila Kazmi
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- * E-mail:
| | - Hannah R. Elliott
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Kim Burrows
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Therese Tillin
- Department of Population Science & Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Alun D. Hughes
- Department of Population Science & Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom
- MRC Lifelong Health & Aging Unit at UCL, London, United Kingdom
| | - Nish Chaturvedi
- Department of Population Science & Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom
- MRC Lifelong Health & Aging Unit at UCL, London, United Kingdom
| | - Tom R. Gaunt
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- NIHR Bristol Biomedical Research Centre, Bristol, United Kingdom
| | - Caroline L. Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- NIHR Bristol Biomedical Research Centre, Bristol, United Kingdom
| |
Collapse
|
45
|
Joshi R, Wannamethee SG, Engmann J, Gaunt T, Lawlor DA, Price J, Papacosta O, Shah T, Tillin T, Chaturvedi N, Kivimaki M, Kuh D, Kumari M, Hughes AD, Casas JP, Humphries S, Hingorani AD, Schmidt AF. Triglyceride-containing lipoprotein sub-fractions and risk of coronary heart disease and stroke: A prospective analysis in 11,560 adults. Eur J Prev Cardiol 2020; 27:1617-1626. [PMID: 31996015 PMCID: PMC7707881 DOI: 10.1177/2047487319899621] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
AIMS Elevated low-density lipoprotein cholesterol (LDL-C) is a risk factor for cardiovascular disease; however, there is uncertainty about the role of total triglycerides and the individual triglyceride-containing lipoprotein sub-fractions. We measured 14 triglyceride-containing lipoprotein sub-fractions using nuclear magnetic resonance and examined associations with coronary heart disease and stroke. METHODS Triglyceride-containing sub-fraction measures were available in 11,560 participants from the three UK cohorts free of coronary heart disease and stroke at baseline. Multivariable logistic regression was used to estimate the association of each sub-fraction with coronary heart disease and stroke expressed as the odds ratio per standard deviation increment in the corresponding measure. RESULTS The 14 triglyceride-containing sub-fractions were positively correlated with one another and with total triglycerides, and inversely correlated with high-density lipoprotein cholesterol (HDL-C). Thirteen sub-fractions were positively associated with coronary heart disease (odds ratio in the range 1.12 to 1.22), with the effect estimates for coronary heart disease being comparable in subgroup analysis of participants with and without type 2 diabetes, and were attenuated after adjustment for HDL-C and LDL-C. There was no evidence for a clear association of any triglyceride lipoprotein sub-fraction with stroke. CONCLUSIONS Triglyceride sub-fractions are associated with increased risk of coronary heart disease but not stroke, with attenuation of effects on adjustment for HDL-C and LDL-C.
Collapse
Affiliation(s)
- Roshni Joshi
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, UK
| | - S Goya Wannamethee
- Department of Primary Care & Population Health, Faculty of Population Health, University College London, UK
| | - Jorgen Engmann
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, UK
| | - Tom Gaunt
- MRC Integrative Epidemiology Unit at the University of Bristol, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, UK.,Bristol NIHR Biomedical Research Centre, UK.,Population Health Science, Bristol Medical School, UK
| | - Jackie Price
- The Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK
| | - Olia Papacosta
- Department of Primary Care & Population Health, Faculty of Population Health, University College London, UK
| | - Tina Shah
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, UK
| | - Therese Tillin
- Department of Epidemiology and Public Health, University College London, UK
| | - Nishi Chaturvedi
- Department of Epidemiology and Public Health, University College London, UK
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing, UK
| | - Meena Kumari
- Institute for Social and Economic Research, University of Essex, UK
| | - Alun D Hughes
- Department of Epidemiology and Public Health, University College London, UK
| | - Juan P Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare, USA
| | - Steve Humphries
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, UK
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, UK
| | - A Floriaan Schmidt
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, UK.,Department of Cardiology, Division Heart and Lungs, University Medical Centre Utrecht, The Netherlands
| |
Collapse
|
46
|
Al Saikhan L, Park C, Tillin T, Mayet J, Chaturvedi N, Hughes A. 3.5 Arterial Stiffness Partly Explains Sex Differences in Associations Between Left Ventricular Structure and Mortality: The Southall and Brent Revisited (Sabre) Study. Artery Res 2020. [DOI: 10.2991/artres.k.191224.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
|
47
|
Jones S, Schultz M, Tillin T, Williams S, Chaturvedi N, Hughes A. P22 Central and Peripheral Contributions to Submaximal Exercise Performance in Older Adults in the SouthAll and Brent REvisited (SABRE) Study. Artery Res 2020. [DOI: 10.2991/artres.k.191224.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
|
48
|
Kettunen J, Holmes MV, Allara E, Anufrieva O, Ohukainen P, Oliver-Williams C, Wang Q, Tillin T, Hughes AD, Kähönen M, Lehtimäki T, Viikari J, Raitakari OT, Salomaa V, Järvelin MR, Perola M, Davey Smith G, Chaturvedi N, Danesh J, Di Angelantonio E, Butterworth AS, Ala-Korpela M. Lipoprotein signatures of cholesteryl ester transfer protein and HMG-CoA reductase inhibition. PLoS Biol 2019; 17:e3000572. [PMID: 31860674 PMCID: PMC6944381 DOI: 10.1371/journal.pbio.3000572] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [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: 03/28/2019] [Revised: 01/06/2020] [Accepted: 11/29/2019] [Indexed: 02/04/2023] Open
Abstract
Cholesteryl ester transfer protein (CETP) inhibition reduces vascular event risk, but confusion surrounds its effects on low-density lipoprotein (LDL) cholesterol. Here, we clarify associations of genetic inhibition of CETP on detailed lipoprotein measures and compare those to genetic inhibition of 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR). We used an allele associated with lower CETP expression (rs247617) to mimic CETP inhibition and an allele associated with lower HMGCR expression (rs12916) to mimic the well-known effects of statins for comparison. The study consists of 65,427 participants of European ancestries with detailed lipoprotein subclass profiling from nuclear magnetic resonance spectroscopy. Genetic associations were scaled to 10% reduction in relative risk of coronary heart disease (CHD). We also examined observational associations of the lipoprotein subclass measures with risk of incident CHD in 3 population-based cohorts totalling 616 incident cases and 13,564 controls during 8-year follow-up. Genetic inhibition of CETP and HMGCR resulted in near-identical associations with LDL cholesterol concentration estimated by the Friedewald equation. Inhibition of HMGCR had relatively consistent associations on lower cholesterol concentrations across all apolipoprotein B-containing lipoproteins. In contrast, the associations of the inhibition of CETP were stronger on lower remnant and very-low-density lipoprotein (VLDL) cholesterol, but there were no associations on cholesterol concentrations in LDL defined by particle size (diameter 18–26 nm) (−0.02 SD LDL defined by particle size; 95% CI: −0.10 to 0.05 for CETP versus −0.24 SD, 95% CI −0.30 to −0.18 for HMGCR). Inhibition of CETP was strongly associated with lower proportion of triglycerides in all high-density lipoprotein (HDL) particles. In observational analyses, a higher triglyceride composition within HDL subclasses was associated with higher risk of CHD, independently of total cholesterol and triglycerides (strongest hazard ratio per 1 SD higher triglyceride composition in very large HDL 1.35; 95% CI: 1.18–1.54). In conclusion, CETP inhibition does not appear to affect size-specific LDL cholesterol but is likely to lower CHD risk by lowering concentrations of other atherogenic, apolipoprotein B-containing lipoproteins (such as remnant and VLDLs). Inhibition of CETP also lowers triglyceride composition in HDL particles, a phenomenon reflecting combined effects of circulating HDL, triglycerides, and apolipoprotein B-containing particles and is associated with a lower CHD risk in observational analyses. Our results reveal that conventional composite lipid assays may mask heterogeneous effects of emerging lipid-altering therapies. Inhibition of cholesteryl ester transfer protein does not affect size-specific low-density lipoprotein cholesterol, but may lower coronary heart disease risk by lowering cholesterol concentrations in other apolipoprotein-B containing atherogenic lipoproteins, and by lowering triglyceride content of high-density lipoprotein particles.
Collapse
Affiliation(s)
- Johannes Kettunen
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| | - Michael V. Holmes
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research, Oxford Biomedical Research Centre, Oxford University Hospital, Oxford, United Kingdom
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
| | - Elias Allara
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom
| | - Olga Anufrieva
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
| | - Pauli Ohukainen
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
| | - Clare Oliver-Williams
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Homerton College, University of Cambridge, Cambridge, United Kingdom
| | - Qin Wang
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
| | - Therese Tillin
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Alun D. Hughes
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Mika Kähönen
- Department of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technologies, University of Tampere, Tampere, Finland
| | - Jorma Viikari
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Olli T. Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki, Finland
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Markus Perola
- National Institute for Health and Welfare, Helsinki, Finland
- Diabetes and Obesity Research Program, University of Helsinki, Helsinki, Finland
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Nish Chaturvedi
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom
- Wellcome Trust Sanger Institute, Hinxton, United Kingdom
- British Heart Foundation Cambridge Centre of Excellence, Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Emanuele Di Angelantonio
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom
| | - Adam S. Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom
| | - Mika Ala-Korpela
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
- Systems Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, The Alfred Hospital, Monash University, Melbourne, Victoria, Australia
- * E-mail:
| |
Collapse
|
49
|
Tillin T, Tuson C, Sowa B, Chattopadhyay K, Sattar N, Welsh P, Roberts I, Ebrahim S, Kinra S, Hughes A, Chaturvedi N. Yoga and Cardiovascular Health Trial (YACHT): a UK-based randomised mechanistic study of a yoga intervention plus usual care versus usual care alone following an acute coronary event. BMJ Open 2019; 9:e030119. [PMID: 31685500 PMCID: PMC6858127 DOI: 10.1136/bmjopen-2019-030119] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE To determine the effects of yoga practice on subclinical cardiovascular measures, risk factors and neuro-endocrine pathways in patients undergoing cardiac rehabilitation (CR) following acute coronary events. DESIGN 3-month, two-arm (yoga +usual care vs usual care alone) parallel randomised mechanistic study. SETTING One general hospital and two primary care CR centres in London. Assessments were conducted at Imperial College London. PARTICIPANTS 80 participants, aged 35-80 years (68% men, 60% South Asian) referred to CR programmes 2012-2014. INTERVENTION A certified yoga teacher conducted yoga classes which included exercises in stretching, breathing, healing imagery and deep relaxation. It was pre-specified that at least 18 yoga classes were attended for inclusion in analysis. Participants and partners in both groups were invited to attend weekly a 6- to 12-week local standard UK National Health Service CR programme. MAIN OUTCOME MEASURES (i) Estimated left ventricular filling pressure (E/e'), (ii) distance walked, fatigue and breathlessness in a 6 min walk test, (iii) blood pressure, heart rate and estimated peak VO2 following a 3 min step-test. Effects on the hypothalamus-pituitary-adrenal axis, autonomic function, body fat, blood lipids and glucose, stress and general health were also explored. RESULTS 25 participants in the yoga + usual care group and 35 participants in the usual care group completed the study. Following the 3-month intervention period, E/e' was not improved by yoga (E/e': between-group difference: yoga minus usual care:-0.40 (-1.38, 0.58). Exercise testing and secondary outcomes also showed no benefits of yoga. CONCLUSIONS In this small UK-based randomised mechanistic study, with 60 completing participants (of whom 25 were in the yoga + usual care group), we found no discernible improvement associated with the addition of a structured 3-month yoga intervention to usual CR care in key cardiovascular and neuroendocrine measures shown to be responsive to yoga in previous mechanistic studies. TRIAL REGISTRATION NUMBER NCT01597960; Pre-results.
Collapse
Affiliation(s)
- Therese Tillin
- Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK
| | | | - Barbara Sowa
- West London Mental Health NHS Trust, Southall, UK
| | - Kaushik Chattopadhyay
- Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, Nottingham, UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Paul Welsh
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Ian Roberts
- Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Shah Ebrahim
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Sanjay Kinra
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - A Hughes
- Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK
| | - Nishi Chaturvedi
- Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK
| |
Collapse
|
50
|
Eastwood SV, Chaturvedi N, Sattar N, Welsh PI, Hughes AD, Tillin T. Impact of Kidney Function on Cardiovascular Risk and Mortality: A Comparison of South Asian and European Cohorts. Am J Nephrol 2019; 50:425-433. [PMID: 31665726 DOI: 10.1159/000503873] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [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: 07/02/2019] [Accepted: 09/30/2019] [Indexed: 12/23/2022]
Abstract
BACKGROUND Evidence is limited on ethnic differences in associations between kidney function markers and mortality or cardiovascular disease (CVD). METHODS Baseline cross-sectional analysis and longitudinal follow-up study of a UK population-based cohort of 1,116 Europeans and 1,104 South Asians of predominantly Indian descent, age 52 ± 7 years at baseline (1988-1991). Kidney function was estimated using Cystatin C and creatinine-based chronic kidney disease (CKD) Epidemiology Collaboration estimated glomerular filtration rate (eGFR) equations, and urinary albumin-creatinine ratio (ACR). Mortality was captured at 27 years, and incident CVD at 22 years, from death certification, medical records and participant report. Longitudinal associations between eGFR/ACR and mortality/incident CVD were examined using Cox models. RESULTS eGFRcys was lower and ACR higher in South Asians than Europeans. eGFRcys and -eGFRcreat were more strongly associated with outcomes in Europeans than South Asians. Conversely, associations between ACR and outcomes were greater in South Asians than Europeans, for example, for CVD mortality: HRs (95% CI) adjusted for CVD risk factors and ACR/eGFRcys as appropriate, p for ethnicity interaction: eGFRcys: Europeans: 0.76 (0.62-0.92), South Asians: 0.92 (0.78-1.07), p = 0.05, eGFRcreat: Europeans 0.81 (0.67-0.99), South Asians 1.18 (0.97-1.41), p = 0.002, ACR: -Europeans: 1.24 (1.08-1.42), South Asians: 1.39 (1.25-1.57), p= 0.23. Addition of all CKD measures to a standard CVD risk factor model modestly improved prediction capability in -Europeans; in South Asians only ACR contributed to improvement. CONCLUSIONS Strong associations between ACR and outcomes in South Asians of predominantly Indian origin, and null associations for eGFRcys and eGFRcreat, suggest that ACR may have greater utility in CVD risk prediction in South Asians. Further work is needed to validate these -findings.
Collapse
Affiliation(s)
- Sophie V Eastwood
- Institute of Cardiovascular Science, University College London, London, United Kingdom,
| | - Nishi Chaturvedi
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Paul I Welsh
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Alun D Hughes
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Therese Tillin
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| |
Collapse
|