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Hillary RF, Ng HK, McCartney DL, Elliott HR, Walker RM, Campbell A, Huang F, Direk K, Welsh P, Sattar N, Corley J, Hayward C, McIntosh AM, Sudlow C, Evans KL, Cox SR, Chambers JC, Loh M, Relton CL, Marioni RE, Yousefi PD, Suderman M. Blood-based epigenome-wide analyses of chronic low-grade inflammation across diverse population cohorts. CELL GENOMICS 2024; 4:100544. [PMID: 38692281 PMCID: PMC11099341 DOI: 10.1016/j.xgen.2024.100544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 02/09/2024] [Accepted: 04/03/2024] [Indexed: 05/03/2024]
Abstract
Chronic inflammation is a hallmark of age-related disease states. The effectiveness of inflammatory proteins including C-reactive protein (CRP) in assessing long-term inflammation is hindered by their phasic nature. DNA methylation (DNAm) signatures of CRP may act as more reliable markers of chronic inflammation. We show that inter-individual differences in DNAm capture 50% of the variance in circulating CRP (N = 17,936, Generation Scotland). We develop a series of DNAm predictors of CRP using state-of-the-art algorithms. An elastic-net-regression-based predictor outperformed competing methods and explained 18% of phenotypic variance in the Lothian Birth Cohort of 1936 (LBC1936) cohort, doubling that of existing DNAm predictors. DNAm predictors performed comparably in four additional test cohorts (Avon Longitudinal Study of Parents and Children, Health for Life in Singapore, Southall and Brent Revisited, and LBC1921), including for individuals of diverse genetic ancestry and different age groups. The best-performing predictor surpassed assay-measured CRP and a genetic score in its associations with 26 health outcomes. Our findings forge new avenues for assessing chronic low-grade inflammation in diverse populations.
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Affiliation(s)
- Robert F Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Hong Kiat Ng
- Lee Kong Chian School of Medicine, Nanyang Technological University, Clinical Sciences Building, Singapore 308232, Singapore
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Hannah R Elliott
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2BN, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK
| | - Rosie M Walker
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK; School of Psychology, University of Exeter, Exeter EX4 4QG, UK
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Felicia Huang
- MRC Unit for Lifelong Health and Ageing, University College London, London WC1E 7HB, UK
| | - Kenan Direk
- Imperial Clinical Trials Unit, School of Public Health, Imperial College London, London SW7 2AZ, UK
| | - Paul Welsh
- School of Cardiovascular and Metabolic Health, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow G12 8TA, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow G12 8TA, UK
| | - Janie Corley
- Lothian Birth Cohort Studies, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Caroline Hayward
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK; Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Andrew M McIntosh
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK; Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh EH10 5HF, UK
| | - Cathie Sudlow
- Centre for Clinical Brain Sciences, Edinburgh Imaging and UK Dementia Research Institute, University of Edinburgh, Edinburgh EH16 4SB, UK; British Heart Foundation Data Science Centre, Health Data Research UK, London NW1 2BE, UK; Health Data Research UK, London NW1 2BE, UK
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Simon R Cox
- Lothian Birth Cohort Studies, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - John C Chambers
- Lee Kong Chian School of Medicine, Nanyang Technological University, Clinical Sciences Building, Singapore 308232, Singapore; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London W2 1PG, UK
| | - Marie Loh
- Lee Kong Chian School of Medicine, Nanyang Technological University, Clinical Sciences Building, Singapore 308232, Singapore; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London W2 1PG, UK; National Skin Centre, Singapore 308205, Singapore; Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2BN, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK.
| | - Paul D Yousefi
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2BN, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK.
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2BN, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK.
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Liu Z, Kainth K, Zhou A, Deyer TW, Fayad ZA, Greenspan H, Mei X. A review of self-supervised, generative, and few-shot deep learning methods for data-limited magnetic resonance imaging segmentation. NMR IN BIOMEDICINE 2024:e5143. [PMID: 38523402 DOI: 10.1002/nbm.5143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 03/26/2024]
Abstract
Magnetic resonance imaging (MRI) is a ubiquitous medical imaging technology with applications in disease diagnostics, intervention, and treatment planning. Accurate MRI segmentation is critical for diagnosing abnormalities, monitoring diseases, and deciding on a course of treatment. With the advent of advanced deep learning frameworks, fully automated and accurate MRI segmentation is advancing. Traditional supervised deep learning techniques have advanced tremendously, reaching clinical-level accuracy in the field of segmentation. However, these algorithms still require a large amount of annotated data, which is oftentimes unavailable or impractical. One way to circumvent this issue is to utilize algorithms that exploit a limited amount of labeled data. This paper aims to review such state-of-the-art algorithms that use a limited number of annotated samples. We explain the fundamental principles of self-supervised learning, generative models, few-shot learning, and semi-supervised learning and summarize their applications in cardiac, abdomen, and brain MRI segmentation. Throughout this review, we highlight algorithms that can be employed based on the quantity of annotated data available. We also present a comprehensive list of notable publicly available MRI segmentation datasets. To conclude, we discuss possible future directions of the field-including emerging algorithms, such as contrastive language-image pretraining, and potential combinations across the methods discussed-that can further increase the efficacy of image segmentation with limited labels.
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Affiliation(s)
- Zelong Liu
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Komal Kainth
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Alexander Zhou
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Timothy W Deyer
- East River Medical Imaging, New York, New York, USA
- Department of Radiology, Cornell Medicine, New York, New York, USA
| | - Zahi A Fayad
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Hayit Greenspan
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Xueyan Mei
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Karvela M, Golden CT, Bell N, Martin-Li S, Bedzo-Nutakor J, Bosnic N, DeBeaudrap P, de Mateo-Lopez S, Alajrami A, Qin Y, Eze M, Hon TK, Simón-Sánchez J, Sahoo R, Pearson-Stuttard J, Soon-Shiong P, Toumazou C, Oliver N. Assessment of the impact of a personalised nutrition intervention in impaired glucose regulation over 26 weeks: a randomised controlled trial. Sci Rep 2024; 14:5428. [PMID: 38443427 PMCID: PMC10914757 DOI: 10.1038/s41598-024-55105-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 02/20/2024] [Indexed: 03/07/2024] Open
Abstract
Dietary interventions can reduce progression to type 2 diabetes mellitus (T2DM) in people with non-diabetic hyperglycaemia. In this study we aimed to determine the impact of a DNA-personalised nutrition intervention in people with non-diabetic hyperglycaemia over 26 weeks. ASPIRE-DNA was a pilot study. Participants were randomised into three arms to receive either (i) Control arm: standard care (NICE guidelines) (n = 51), (ii) Intervention arm: DNA-personalised dietary advice (n = 50), or (iii) Exploratory arm: DNA-personalised dietary advice via a self-guided app and wearable device (n = 46). The primary outcome was the difference in fasting plasma glucose (FPG) between the Control and Intervention arms after 6 weeks. 180 people were recruited, of whom 148 people were randomised, mean age of 59 years (SD = 11), 69% of whom were female. There was no significant difference in the FPG change between the Control and Intervention arms at 6 weeks (- 0.13 mmol/L (95% CI [- 0.37, 0.11]), p = 0.29), however, we found that a DNA-personalised dietary intervention led to a significant reduction of FPG at 26 weeks in the Intervention arm when compared to standard care (- 0.019 (SD = 0.008), p = 0.01), as did the Exploratory arm (- 0.021 (SD = 0.008), p = 0.006). HbA1c at 26 weeks was significantly reduced in the Intervention arm when compared to standard care (- 0.038 (SD = 0.018), p = 0.04). There was some evidence suggesting prevention of progression to T2DM across the groups that received a DNA-based intervention (p = 0.06). Personalisation of dietary advice based on DNA did not result in glucose changes within the first 6 weeks but was associated with significant reduction of FPG and HbA1c at 26 weeks when compared to standard care. The DNA-based diet was effective regardless of intervention type, though results should be interpreted with caution due to the low sample size. These findings suggest that DNA-based dietary guidance is an effective intervention compared to standard care, but there is still a minimum timeframe of adherence to the intervention before changes in clinical outcomes become apparent.Trial Registration: www.clinicaltrials.gov.uk Ref: NCT03702465.
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Affiliation(s)
- Maria Karvela
- Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK
| | - Caroline T Golden
- Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK
| | - Nikeysha Bell
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK
| | - Stephanie Martin-Li
- Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK
| | - Judith Bedzo-Nutakor
- Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK
| | - Natalie Bosnic
- Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK
| | - Pierre DeBeaudrap
- Centre for Population and Development (Ceped), French National Institute for Sustainable Development (IRD), and Paris University, Inserm ERL, 1244, Paris, France
| | - Sara de Mateo-Lopez
- Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK
| | - Ahmed Alajrami
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK
| | - Yun Qin
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK
| | - Maria Eze
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK
| | - Tsz-Kin Hon
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK
| | - Javier Simón-Sánchez
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK
| | - Rashmita Sahoo
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK
| | | | - Patrick Soon-Shiong
- Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Christofer Toumazou
- Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.
- DnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK.
| | - Nick Oliver
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
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Green RE, Sudre CH, Warren‐Gash C, Butt J, Waterboer T, Hughes AD, Schott JM, Richards M, Chaturvedi N, Williams DM. Common infections and neuroimaging markers of dementia in three UK cohort studies. Alzheimers Dement 2024; 20:2128-2142. [PMID: 38248636 PMCID: PMC10984486 DOI: 10.1002/alz.13613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/13/2023] [Accepted: 11/25/2023] [Indexed: 01/23/2024]
Abstract
INTRODUCTION We aimed to investigate associations between common infections and neuroimaging markers of dementia risk (brain volume, hippocampal volume, white matter lesions) across three population-based studies. METHODS We tested associations between serology measures (pathogen serostatus, cumulative burden, continuous antibody responses) and outcomes using linear regression, including adjustments for total intracranial volume and scanner/clinic information (basic model), age, sex, ethnicity, education, socioeconomic position, alcohol, body mass index, and smoking (fully adjusted model). Interactions between serology measures and apolipoprotein E (APOE) genotype were tested. Findings were meta-analyzed across cohorts (Nmain = 2632; NAPOE-interaction = 1810). RESULTS Seropositivity to John Cunningham virus associated with smaller brain volumes in basic models (β = -3.89 mL [-5.81, -1.97], Padjusted < 0.05); these were largely attenuated in fully adjusted models (β = -1.59 mL [-3.55, 0.36], P = 0.11). No other relationships were robust to multiple testing corrections and sensitivity analyses, but several suggestive associations were observed. DISCUSSION We did not find clear evidence for relationships between common infections and markers of dementia risk. Some suggestive findings warrant testing for replication.
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Affiliation(s)
- Rebecca E. Green
- MRC Unit for Lifelong Health & Ageing at UCLUniversity College LondonLondonUK
| | - Carole H. Sudre
- MRC Unit for Lifelong Health & Ageing at UCLUniversity College LondonLondonUK
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
- School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
- Department of Medical Physics and Biomedical EngineeringCentre for Medical Image Computing (CMIC)University College London (UCL)LondonUK
| | - Charlotte Warren‐Gash
- Faculty of Epidemiology and Population HealthLondon School of Hygiene and Tropical MedicineLondonUK
| | - Julia Butt
- Division of Infections and Cancer EpidemiologyGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Tim Waterboer
- Division of Infections and Cancer EpidemiologyGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Alun D. Hughes
- MRC Unit for Lifelong Health & Ageing at UCLUniversity College LondonLondonUK
| | | | - Marcus Richards
- MRC Unit for Lifelong Health & Ageing at UCLUniversity College LondonLondonUK
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health & Ageing at UCLUniversity College LondonLondonUK
| | - Dylan M. Williams
- MRC Unit for Lifelong Health & Ageing at UCLUniversity College LondonLondonUK
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Mukadam N, Marston L, Lewis G, Mathur R, Lowther E, Rait G, Livingston G. South Asian, Black and White ethnicity and the effect of potentially modifiable risk factors for dementia: A study in English electronic health records. PLoS One 2023; 18:e0289893. [PMID: 37819899 PMCID: PMC10566703 DOI: 10.1371/journal.pone.0289893] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 07/28/2023] [Indexed: 10/13/2023] Open
Abstract
INTRODUCTION We aimed to investigate ethnic differences in the associations of potentially modifiable risk factors with dementia. METHODS We used anonymised data from English electronic primary care records for adults aged 65 and older between 1997 and 2018. We used Cox regression to investigate main effects for each risk factor and interaction effects between each risk factor and ethnicity. RESULTS We included 865,674 people with 8,479,973 person years of follow up. Hypertension, dyslipidaemia, obesity and diabetes were more common in people from minority ethnic groups than White people. The impact of hypertension, obesity, diabetes, low HDL and sleep disorders on dementia risk was increased in South Asian people compared to White people. The impact of hypertension was greater in Black compared to White people. DISCUSSION Dementia prevention efforts should be targeted towards people from minority ethnic groups and tailored to risk factors of particular importance.
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Affiliation(s)
- Naaheed Mukadam
- Division of Psychiatry, University College London, London, United Kingdom
| | - Louise Marston
- Primary Care & Population Health, University College London, London, United Kingdom
| | - Gemma Lewis
- Division of Psychiatry, University College London, London, United Kingdom
| | - Rohini Mathur
- Wolfson Institute of Population Health, Queen Mary University London, London, United Kingdom
| | - Ed Lowther
- Advanced Research Computing Centre, University College London, London, United Kingdom
| | - Greta Rait
- Primary Care & Population Health, University College London, London, United Kingdom
| | - Gill Livingston
- Division of Psychiatry, University College London, London, United Kingdom
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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] [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.
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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
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Kebaili A, Lapuyade-Lahorgue J, Ruan S. Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review. J Imaging 2023; 9:81. [PMID: 37103232 PMCID: PMC10144738 DOI: 10.3390/jimaging9040081] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 03/31/2023] [Accepted: 04/07/2023] [Indexed: 04/28/2023] Open
Abstract
Deep learning has become a popular tool for medical image analysis, but the limited availability of training data remains a major challenge, particularly in the medical field where data acquisition can be costly and subject to privacy regulations. Data augmentation techniques offer a solution by artificially increasing the number of training samples, but these techniques often produce limited and unconvincing results. To address this issue, a growing number of studies have proposed the use of deep generative models to generate more realistic and diverse data that conform to the true distribution of the data. In this review, we focus on three types of deep generative models for medical image augmentation: variational autoencoders, generative adversarial networks, and diffusion models. We provide an overview of the current state of the art in each of these models and discuss their potential for use in different downstream tasks in medical imaging, including classification, segmentation, and cross-modal translation. We also evaluate the strengths and limitations of each model and suggest directions for future research in this field. Our goal is to provide a comprehensive review about the use of deep generative models for medical image augmentation and to highlight the potential of these models for improving the performance of deep learning algorithms in medical image analysis.
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Affiliation(s)
| | | | - Su Ruan
- Université Rouen Normandie, INSA Rouen Normandie, Université Le Havre Normandie, Normandie Univ, LITIS UR 4108, F-76000 Rouen, France
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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] [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.
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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
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Magny-Normilus C, Hassan S, Sanders J, Longhurst C, Lee CS, Jurgens CY. Implications for Self-Management among African Caribbean Adults with Noncommunicable Diseases and Mental Health Disorders: A Systematic Review. Biomedicines 2022; 10:2735. [PMID: 36359258 PMCID: PMC9687849 DOI: 10.3390/biomedicines10112735] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 10/22/2022] [Accepted: 10/24/2022] [Indexed: 06/09/2024] Open
Abstract
Mental health problems are common among individuals suffering from chronic noncommunicable diseases (NCDs) such as type 2 diabetes mellitus and hypertension. Self-management is essential in preventing NCD progression. Mental health problems can impede the ability to self-manage one's NCDs. The African Caribbean population in the United States suffers from a high burden of NCDs and has unique societal factors that alter disease management. This systematic review aimed to better understand the burden of mental health problems among African Caribbean adults with one or more NCDs and explore the association between mental health disorders and the level of control of NCDs. A literature search was conducted for original research documenting the prevalence of mental illnesses in individuals with NCDs. Data were descriptively summarized. Fourteen studies met inclusion criteria. Three themes emerged: (1) prevalence of comorbid mental health problems and chronic NCDs; (2) factors that mitigate or mediate the association between mental health problems and chronic NCDs-(a) factors influencing self-management; (b) association between mental health and NCD outcome studies focused on (b1) risk factors and (b2) protective factors; and (3) varied results. Chronic disease self-management and disease outcomes are influenced by mental problems and the association is mitigated by complex factors in the African Caribbean population.
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Affiliation(s)
| | - Saria Hassan
- Department of Medicine, Emory University, Atlanta, GA 30307, USA
| | - Julie Sanders
- William F. Connell School of Nursing, Boston College, Chestnut Hill, MA 02467, USA
| | - Catrina Longhurst
- William F. Connell School of Nursing, Boston College, Chestnut Hill, MA 02467, USA
| | - Christopher S. Lee
- William F. Connell School of Nursing, Boston College, Chestnut Hill, MA 02467, USA
| | - Corrine Y. Jurgens
- William F. Connell School of Nursing, Boston College, Chestnut Hill, MA 02467, USA
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10
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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] [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.
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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
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11
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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] [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.
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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
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12
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Sliz E, Shin J, Ahmad S, Williams DM, Frenzel S, Gauß F, Harris SE, Henning AK, Hernandez MV, Hu YH, Jiménez B, Sargurupremraj M, Sudre C, Wang R, Wittfeld K, Yang Q, Wardlaw JM, Völzke H, Vernooij MW, Schott JM, Richards M, Proitsi P, Nauck M, Lewis MR, Launer L, Hosten N, Grabe HJ, Ghanbari M, Deary IJ, Cox SR, Chaturvedi N, Barnes J, Rotter JI, Debette S, Ikram MA, Fornage M, Paus T, Seshadri S, Pausova Z. Circulating Metabolome and White Matter Hyperintensities in Women and Men. Circulation 2022; 145:1040-1052. [PMID: 35050683 PMCID: PMC9645366 DOI: 10.1161/circulationaha.121.056892] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/02/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND White matter hyperintensities (WMH), identified on T2-weighted magnetic resonance images of the human brain as areas of enhanced brightness, are a major risk factor of stroke, dementia, and death. There are no large-scale studies testing associations between WMH and circulating metabolites. METHODS We studied up to 9290 individuals (50.7% female, average age 61 years) from 15 populations of 8 community-based cohorts. WMH volume was quantified from T2-weighted or fluid-attenuated inversion recovery images or as hypointensities on T1-weighted images. Circulating metabolomic measures were assessed with mass spectrometry and nuclear magnetic resonance spectroscopy. Associations between WMH and metabolomic measures were tested by fitting linear regression models in the pooled sample and in sex-stratified and statin treatment-stratified subsamples. Our basic models were adjusted for age, sex, age×sex, and technical covariates, and our fully adjusted models were also adjusted for statin treatment, hypertension, type 2 diabetes, smoking, body mass index, and estimated glomerular filtration rate. Population-specific results were meta-analyzed using the fixed-effect inverse variance-weighted method. Associations with false discovery rate (FDR)-adjusted P values (PFDR)<0.05 were considered significant. RESULTS In the meta-analysis of results from the basic models, we identified 30 metabolomic measures associated with WMH (PFDR<0.05), 7 of which remained significant in the fully adjusted models. The most significant association was with higher level of hydroxyphenylpyruvate in men (PFDR.full.adj=1.40×10-7) and in both the pooled sample (PFDR.full.adj=1.66×10-4) and statin-untreated (PFDR.full.adj=1.65×10-6) subsample. In men, hydroxyphenylpyruvate explained 3% to 14% of variance in WMH. In men and the pooled sample, WMH were also associated with lower levels of lysophosphatidylcholines and hydroxysphingomyelins and a larger diameter of low-density lipoprotein particles, likely arising from higher triglyceride to total lipids and lower cholesteryl ester to total lipids ratios within these particles. In women, the only significant association was with higher level of glucuronate (PFDR=0.047). CONCLUSIONS Circulating metabolomic measures, including multiple lipid measures (eg, lysophosphatidylcholines, hydroxysphingomyelins, low-density lipoprotein size and composition) and nonlipid metabolites (eg, hydroxyphenylpyruvate, glucuronate), associate with WMH in a general population of middle-aged and older adults. Some metabolomic measures show marked sex specificities and explain a sizable proportion of WMH variance.
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Affiliation(s)
- Eeva Sliz
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Jean Shin
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Dylan M. Williams
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Friederike Gauß
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Sarah E. Harris
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ann-Kristin Henning
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Maria Valdes Hernandez
- Centre for Clinical Brain Sciences, UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Yi-Han Hu
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
| | - Beatriz Jiménez
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Muralidharan Sargurupremraj
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000 Bordeaux, France
| | - Carole Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London
- School of Biomedical Engineering & Imaging Sciences, King’s College London
| | - Ruiqi Wang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Germany Center for Neurodegenerative Diseases (DZNE), partner site Rostock/Greifswald, Greifswald, Germany
| | - Qiong Yang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences, UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Meike W. Vernooij
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, and Department of Neurology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Petroula Proitsi
- King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Matthew R. Lewis
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Lenore Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
| | - Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Germany Center for Neurodegenerative Diseases (DZNE), partner site Rostock/Greifswald, Greifswald, Germany
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Ian J. Deary
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Simon R. Cox
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - 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
| | - Stephanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000 Bordeaux, France
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Myriam Fornage
- University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, USA
| | - Tomas Paus
- Departments of Psychiatry and Neuroscience and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada
- ECOGENE-21, Chicoutimi, QC, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Zdenka Pausova
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
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13
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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] [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.
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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.
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14
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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] [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.
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15
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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: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [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.
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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
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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] [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.
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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
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