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Remfry E, Ardissino M, McCracken C, Szabo L, Neubauer S, Harvey NC, Mamas MA, Robson J, Petersen SE, Raisi-Estabragh Z. Sex-based differences in risk factors for incident myocardial infarction and stroke in the UK Biobank. Eur Heart J Qual Care Clin Outcomes 2024; 10:132-142. [PMID: 37218687 PMCID: PMC10904726 DOI: 10.1093/ehjqcco/qcad029] [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] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/31/2023] [Accepted: 05/19/2023] [Indexed: 05/24/2023]
Abstract
AIM This study examined sex-based differences in associations of vascular risk factors with incident cardiovascular events in the UK Biobank. METHODS Baseline participant demographic, clinical, laboratory, anthropometric, and imaging characteristics were collected. Multivariable Cox regression was used to estimate independent associations of vascular risk factors with incident myocardial infarction (MI) and ischaemic stroke for men and women. Women-to-men ratios of hazard ratios (RHRs), and related 95% confidence intervals, represent the relative effect-size magnitude by sex. RESULTS Among the 363 313 participants (53.5% women), 8470 experienced MI (29.9% women) and 7705 experienced stroke (40.1% women) over 12.66 [11.93, 13.38] years of prospective follow-up. Men had greater risk factor burden and higher arterial stiffness index at baseline. Women had greater age-related decline in aortic distensibility. Older age [RHR: 1.02 (1.01-1.03)], greater deprivation [RHR: 1.02 (1.00-1.03)], hypertension [RHR: 1.14 (1.02-1.27)], and current smoking [RHR: 1.45 (1.27-1.66)] were associated with a greater excess risk of MI in women than men. Low-density lipoprotein cholesterol was associated with excess MI risk in men [RHR: 0.90 (0.84-0.95)] and apolipoprotein A (ApoA) was less protective for MI in women [RHR: 1.65 (1.01-2.71)]. Older age was associated with excess risk of stroke [RHR: 1.01 (1.00-1.02)] and ApoA was less protective for stroke in women [RHR: 2.55 (1.58-4.14)]. CONCLUSION Older age, hypertension, and smoking appeared stronger drivers of cardiovascular disease in women, whereas lipid metrics appeared stronger risk determinants for men. These findings highlight the importance of sex-specific preventive strategies and suggest priority targets for intervention in men and women.
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Affiliation(s)
- Elizabeth Remfry
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Maddalena Ardissino
- National Heart and Lung Institute, Imperial College London, Hammersmith Hospital, London SW3 6LY, UK
| | - Celeste McCracken
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Liliana Szabo
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Semmelweis University, Heart and Vascular Center, Hungary, Budapest 1122, Hungary
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield EC1A 7BE, UK
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Keele University, Keele ST5 5BG, UK
- Institute of Population Health, University of Manchester, Manchester M13 9NT, UK
| | - John Robson
- Wolfson Institute of Population Health Sciences, Queen Mary University of London, London E1 4NS, UK
| | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield EC1A 7BE, UK
- Health Data Research UK, London NW1 2BE, UK
- Alan Turing Institute, London NW1 2DB, UK
| | - Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield EC1A 7BE, UK
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Bethell GS, Neville JJ, Johnson MJ, Turnbull J, Hall NJ. Congenital duodenal obstruction repair with and without transanastomotic tube feeding: a systematic review and meta-analysis. Arch Dis Child Fetal Neonatal Ed 2024; 109:182-188. [PMID: 37923385 PMCID: PMC10894825 DOI: 10.1136/archdischild-2023-325988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 09/01/2023] [Indexed: 11/07/2023]
Abstract
OBJECTIVE To determine the impact of transanastomotic tube (TAT) feeding in congenital duodenal obstruction (CDO). DESIGN Systematic review with meta-analysis. PATIENTS Infants with CDO requiring surgical repair. INTERVENTIONS TAT feeding following CDO repair versus no TAT feeding. MAIN OUTCOME MEASURES The main outcome was time to full enteral feeds. Additional outcomes included use of parenteral nutrition (PN), cost and complications from either TAT or central venous catheter. Meta-analyses were undertaken using random-effects models (mean difference (MD) and risk difference (RD)), and risk of bias was assessed using the Risk Of Bias In Non-randomised Studies - of Interventions (ROBINS-I) tool. RESULTS Twelve out of 373 articles screened met the inclusion criteria. All studies were observational and two were prospective. Nine studies, containing 469 infants, were available for meta-analysis; however, four were excluded due to serious or critical risk of bias. TAT feeding was associated with reduced time to full enteral feeds (-3.34; 95% CI -4.48 to -2.20 days), reduced duration of PN (-6.32; 95% CI -7.93 to -4.71 days) and reduction in nutrition cost of £867.36 (95% CI £304.72 to £1430.00). Other outcomes were similar between those with and without a TAT including inpatient length of stay (MD -0.97 (-5.03 to 3.09) days), mortality (RD -0.01 (-0.04 to 0.01)) and requirement for repeat surgery (RD 0.01 (-0.03 to 0.05)). CONCLUSION TAT feeding following CDO repair appears beneficial, without increased risk of adverse events; however, certainty of available evidence is low. Earlier enteral feeding and reduced PN use are known to decrease central venous catheter-associated risks while significantly reducing cost of care. PROSPERO REGISTRATION NUMBER CRD42022328381.
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Affiliation(s)
- George Stephen Bethell
- University Surgery Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Jonathan J Neville
- University Surgery Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Mark John Johnson
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Department of Neonatal Medicine, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Joanne Turnbull
- School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Nigel J Hall
- University Surgery Unit, Faculty of Medicine, University of Southampton, Southampton, UK
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Burton MA, Garratt ES, Hewitt MO, Sharkh HY, Antoun E, Westbury LD, Dennison EM, Harvey NC, Cooper C, MacIsaac JL, Kobor MS, Patel HP, Godfrey KM, Lillycrop KA. DNA methylation of insulin signaling pathways is associated with HOMA2-IR in primary myoblasts from older adults. Skelet Muscle 2023; 13:17. [PMID: 37898813 PMCID: PMC10612387 DOI: 10.1186/s13395-023-00326-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 10/09/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND While ageing is associated with increased insulin resistance (IR), the molecular mechanisms underlying increased IR in the muscle, the primary organ for glucose clearance, have yet to be elucidated in older individuals. As epigenetic processes are suggested to contribute to the development of ageing-associated diseases, we investigated whether differential DNA methylation was associated with IR in human primary muscle stem cells (myoblasts) from community-dwelling older individuals. METHODS We measured DNA methylation (Infinium HumanMethylationEPIC BeadChip) in myoblast cultures from vastus lateralis biopsies (119 males/females, mean age 78.24 years) from the Hertfordshire Sarcopenia Study extension (HSSe) and examined differentially methylated cytosine phosphate guanine (CpG) sites (dmCpG), regions (DMRs) and gene pathways associated with HOMA2-IR, an index for the assessment of insulin resistance, and levels of glycated hemoglobin HbA1c. RESULTS Thirty-eight dmCpGs (false discovery rate (FDR) < 0.05) were associated with HOMA2-IR, with dmCpGs enriched in genes linked with JNK, AMPK and insulin signaling. The methylation signal associated with HOMA2-IR was attenuated after the addition of either BMI (6 dmCpGs), appendicular lean mass index (ALMi) (7 dmCpGs), grip strength (15 dmCpGs) or gait speed (23 dmCpGs) as covariates in the model. There were 8 DMRs (Stouffer < 0.05) associated with HOMA2-IR, including DMRs within T-box transcription factor (TBX1) and nuclear receptor subfamily-2 group F member-2 (NR2F2); the DMRs within TBX1 and NR2F2 remained associated with HOMA2-IR after adjustment for BMI, ALMi, grip strength or gait speed. Forty-nine dmCpGs and 21 DMRs were associated with HbA1c, with cg13451048, located within exoribonuclease family member 3 (ERI3) associated with both HOMA2-IR and HbA1c. HOMA2-IR and HbA1c were not associated with accelerated epigenetic ageing. CONCLUSIONS These findings suggest that insulin resistance is associated with differential DNA methylation in human primary myoblasts with both muscle mass and body composition making a significant contribution to the methylation changes associated with IR.
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Affiliation(s)
- Mark A Burton
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Emma S Garratt
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Matthew O Hewitt
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Hanan Y Sharkh
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
- Biological Sciences, University of Southampton, Southampton, UK
| | - Elie Antoun
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Leo D Westbury
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Elaine M Dennison
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Nicholas C Harvey
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Cyrus Cooper
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Julia L MacIsaac
- Department of Medical Genetics, Faculty of Medicine, Edwin S.H. Leong Healthy Aging Program, University of British Columbia, Vancouver, Canada
| | - Michael S Kobor
- Department of Medical Genetics, Faculty of Medicine, Edwin S.H. Leong Healthy Aging Program, University of British Columbia, Vancouver, Canada
| | - Harnish P Patel
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- Faculty of Medicine, Academic Geriatric Medicine, University of Southampton, Southampton, UK
| | - Keith M Godfrey
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Karen A Lillycrop
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK.
- Biological Sciences, University of Southampton, Southampton, UK.
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Elghazaly H, McCracken C, Szabo L, Malcolmson J, Manisty CH, Davies AH, Piechnik SK, Harvey NC, Neubauer S, Mohiddin SA, Petersen SE, Raisi-Estabragh Z. Characterizing the hypertensive cardiovascular phenotype in the UK Biobank. Eur Heart J Cardiovasc Imaging 2023; 24:1352-1360. [PMID: 37309807 PMCID: PMC10531143 DOI: 10.1093/ehjci/jead123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 05/22/2023] [Indexed: 06/14/2023] Open
Abstract
AIMS To describe hypertension-related cardiovascular magnetic resonance (CMR) phenotypes in the UK Biobank considering variations across patient populations. METHODS AND RESULTS We studied 39 095 (51.5% women, mean age: 63.9 ± 7.7 years, 38.6% hypertensive) participants with CMR data available. Hypertension status was ascertained through health record linkage. Associations between hypertension and CMR metrics were estimated using multivariable linear regression adjusting for major vascular risk factors. Stratified analyses were performed by sex, ethnicity, time since hypertension diagnosis, and blood pressure (BP) control. Results are standardized beta coefficients, 95% confidence intervals, and P-values corrected for multiple testing. Hypertension was associated with concentric left ventricular (LV) hypertrophy (increased LV mass, wall thickness, concentricity index), poorer LV function (lower global function index, worse global longitudinal strain), larger left atrial (LA) volumes, lower LA ejection fraction, and lower aortic distensibility. Hypertension was linked to significantly lower myocardial native T1 and increased LV ejection fraction. Women had greater hypertension-related reduction in aortic compliance than men. The degree of hypertension-related LV hypertrophy was greatest in Black ethnicities. Increasing time since diagnosis of hypertension was linked to adverse remodelling. Hypertension-related remodelling was substantially attenuated in hypertensives with good BP control. CONCLUSION Hypertension was associated with concentric LV hypertrophy, reduced LV function, dilated poorer functioning LA, and reduced aortic compliance. Whilst the overall pattern of remodelling was consistent across populations, women had greater hypertension-related reduction in aortic compliance and Black ethnicities showed the greatest LV mass increase. Importantly, adverse cardiovascular remodelling was markedly attenuated in hypertensives with good BP control.
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Affiliation(s)
- Hussein Elghazaly
- Department of Surgery and Cancer, Imperial College London and Imperial College NHS Trust, South Kensington, SW7 2BX London, UK
| | - Celeste McCracken
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Liliana Szabo
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Semmelweis University, Heart and Vascular Center, BudapestHungary
| | - James Malcolmson
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Charlotte H Manisty
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Institute of Cardiovascular Science, University College London, London, UK
| | - Alun H Davies
- Department of Surgery and Cancer, Imperial College London and Imperial College NHS Trust, South Kensington, SW7 2BX London, UK
| | - Stefan K Piechnik
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Saidi A Mohiddin
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Health Data Research UK, London, UK
- Alan Turing Institute, London, UK
| | - Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
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5
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Simon J, Fung K, Raisi-Estabragh Z, Aung N, Khanji MY, Zsarnóczay E, Merkely B, Munroe PB, Harvey NC, Piechnik SK, Neubauer S, Leeson P, Petersen SE, Maurovich-Horvat P. Association between subclinical atherosclerosis and cardiac structure and function-results from the UK Biobank Study. Eur Heart J Imaging Methods Pract 2023; 1:qyad010. [PMID: 37822973 PMCID: PMC10563379 DOI: 10.1093/ehjimp/qyad010] [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] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 07/03/2023] [Indexed: 10/13/2023]
Abstract
Aims Heart failure (HF) is a major health problem and early diagnosis is important. Atherosclerosis is the main cause of HF and carotid intima-media thickness (IMT) is a recognized early measure of atherosclerosis. This study aimed to investigate whether increased carotid IMT is associated with changes in cardiac structure and function in middle-aged participants of the UK Biobank Study without overt cardiovascular disease. Methods and results Participants of the UK Biobank who underwent CMR and carotid ultrasound examinations were included in this study. Patients with heart failure, angina, atrial fibrillation, and history of myocardial infarction or stroke were excluded. We used multivariable linear regression models adjusted for age, sex, physical activity, body mass index, body surface area, hypertension, diabetes, smoking, ethnicity, socioeconomic status, alcohol intake, and laboratory parameters. In total, 4301 individuals (61.6 ± 7.5 years, 45.9% male) were included. Multivariable linear regression analyses showed that increasing quartiles of IMT was associated with increased left and right ventricular (LV and RV) and left atrial volumes and greater LV mass. Moreover, increased IMT was related to lower LV end-systolic circumferential strain, torsion, and both left and right atrial ejection fractions (all P < 0.05). Conclusion Increased IMT showed an independent association over traditional risk factors with enlargement of all four cardiac chambers, decreased function in both atria, greater LV mass, and subclinical LV dysfunction. There may be additional risk stratification that can be derived from the IMT to identify those most likely to have early cardiac structural/functional changes.
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Affiliation(s)
- Judit Simon
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Centre, Semmelweis University, Üllői út 78, H-1082 Budapest, Hungary
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary, Városmajor u 68, H-1122 Budapest, Hungary
| | - Kenneth Fung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, United Kingdom
| | - Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, United Kingdom
| | - Nay Aung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, United Kingdom
| | - Mohammed Y Khanji
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, United Kingdom
- Barts Health NHS Trust, Newham University Hospital, Glen Road, Plaistow, London E1 1BB, United Kingdom
| | - Emese Zsarnóczay
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Centre, Semmelweis University, Üllői út 78, H-1082 Budapest, Hungary
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary, Városmajor u 68, H-1122 Budapest, Hungary
| | - Béla Merkely
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary, Városmajor u 68, H-1122 Budapest, Hungary
| | - Patricia B Munroe
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, United Kingdom
| | - Stefan K Piechnik
- National Institute for Health Research, Oxford Biomedical Research Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, United Kingdom
| | - Stefan Neubauer
- National Institute for Health Research, Oxford Biomedical Research Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, United Kingdom
| | - Paul Leeson
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Level 1, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom
| | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, United Kingdom
| | - Pál Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Centre, Semmelweis University, Üllői út 78, H-1082 Budapest, Hungary
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary, Városmajor u 68, H-1122 Budapest, Hungary
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Wallis TJM, Minnion M, Freeman A, Bates A, Otto JM, Wootton SA, Fletcher SV, Grocott MPW, Feelisch M, Jones MG, Jack S. Individualised Exercise Training Enhances Antioxidant Buffering Capacity in Idiopathic Pulmonary Fibrosis. Antioxidants (Basel) 2023; 12:1645. [PMID: 37627640 PMCID: PMC10451244 DOI: 10.3390/antiox12081645] [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: 07/31/2023] [Revised: 08/13/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
Exercise training is recommended for patients with idiopathic pulmonary fibrosis (IPF); however, the mechanism(s) underlying its physiological benefits remain unclear. We investigated the effects of an individualised aerobic interval training programme on exercise capacity and redox status in IPF patients. IPF patients were recruited prospectively to an 8-week, twice-weekly cardiopulmonary exercise test (CPET)-derived structured responsive exercise training programme (SRETP). Systemic redox status was assessed pre- and post-CPET at baseline and following SRETP completion. An age- and sex-matched non-IPF control cohort was recruited for baseline comparison only. At baseline, IPF patients (n = 15) had evidence of increased oxidative stress compared with the controls as judged by; the plasma reduced/oxidised glutathione ratio (median, control 1856 vs. IPF 736 p = 0.046). Eleven IPF patients completed the SRETP (median adherence 88%). Following SRETP completion, there was a significant improvement in exercise capacity assessed via the constant work-rate endurance time (+82%, p = 0.003). This was accompanied by an improvement in post-exercise redox status (in favour of antioxidants) assessed via serum total free thiols (median increase, +0.26 μmol/g protein p = 0.005) and total glutathione concentration (+0.73 μM p = 0.03), as well as a decrease in post-exercise lipid peroxidation products (-1.20 μM p = 0.02). Following SRETP completion, post-exercise circulating nitrite concentrations were significantly lower compared with baseline (-0.39 μM p = 0.04), suggestive of exercise-induced nitrite utilisation. The SRETP increased both endurance time and systemic antioxidant capacity in IPF patients. The observed reduction in nitrite concentrations provides a mechanistic rationale to investigate nitrite/nitrate supplementation in IPF patients.
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Affiliation(s)
- Tim J. M. Wallis
- NIHR Southampton Biomedical Research Centre, Respiratory and Critical Care, University Hospital Southampton, Southampton SO16 6YD, UK; (M.M.); (A.F.); (A.B.); (J.M.O.); (S.V.F.); (M.P.W.G.); (M.F.); (M.G.J.); (S.J.)
- Academic School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK;
| | - Magdalena Minnion
- NIHR Southampton Biomedical Research Centre, Respiratory and Critical Care, University Hospital Southampton, Southampton SO16 6YD, UK; (M.M.); (A.F.); (A.B.); (J.M.O.); (S.V.F.); (M.P.W.G.); (M.F.); (M.G.J.); (S.J.)
- Academic School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK;
| | - Anna Freeman
- NIHR Southampton Biomedical Research Centre, Respiratory and Critical Care, University Hospital Southampton, Southampton SO16 6YD, UK; (M.M.); (A.F.); (A.B.); (J.M.O.); (S.V.F.); (M.P.W.G.); (M.F.); (M.G.J.); (S.J.)
- Academic School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK;
| | - Andrew Bates
- NIHR Southampton Biomedical Research Centre, Respiratory and Critical Care, University Hospital Southampton, Southampton SO16 6YD, UK; (M.M.); (A.F.); (A.B.); (J.M.O.); (S.V.F.); (M.P.W.G.); (M.F.); (M.G.J.); (S.J.)
- Academic School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK;
- Department of Critical Care and Anaesthesia, University Hospital Southampton, Southampton SO16 6YD, UK
| | - James M. Otto
- NIHR Southampton Biomedical Research Centre, Respiratory and Critical Care, University Hospital Southampton, Southampton SO16 6YD, UK; (M.M.); (A.F.); (A.B.); (J.M.O.); (S.V.F.); (M.P.W.G.); (M.F.); (M.G.J.); (S.J.)
- Academic School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK;
- Department of Critical Care and Anaesthesia, University Hospital Southampton, Southampton SO16 6YD, UK
| | - Stephen A. Wootton
- Academic School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK;
- NIHR Southampton Biomedical Research Centre, Nutrition and Metabolism, University Hospital Southampton, Southampton SO16 6YD, UK
| | - Sophie V. Fletcher
- NIHR Southampton Biomedical Research Centre, Respiratory and Critical Care, University Hospital Southampton, Southampton SO16 6YD, UK; (M.M.); (A.F.); (A.B.); (J.M.O.); (S.V.F.); (M.P.W.G.); (M.F.); (M.G.J.); (S.J.)
- Academic School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK;
| | - Michael P. W. Grocott
- NIHR Southampton Biomedical Research Centre, Respiratory and Critical Care, University Hospital Southampton, Southampton SO16 6YD, UK; (M.M.); (A.F.); (A.B.); (J.M.O.); (S.V.F.); (M.P.W.G.); (M.F.); (M.G.J.); (S.J.)
- Academic School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK;
- Department of Critical Care and Anaesthesia, University Hospital Southampton, Southampton SO16 6YD, UK
| | - Martin Feelisch
- NIHR Southampton Biomedical Research Centre, Respiratory and Critical Care, University Hospital Southampton, Southampton SO16 6YD, UK; (M.M.); (A.F.); (A.B.); (J.M.O.); (S.V.F.); (M.P.W.G.); (M.F.); (M.G.J.); (S.J.)
- Academic School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK;
| | - Mark G. Jones
- NIHR Southampton Biomedical Research Centre, Respiratory and Critical Care, University Hospital Southampton, Southampton SO16 6YD, UK; (M.M.); (A.F.); (A.B.); (J.M.O.); (S.V.F.); (M.P.W.G.); (M.F.); (M.G.J.); (S.J.)
- Academic School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK;
- Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, UK
| | - Sandy Jack
- NIHR Southampton Biomedical Research Centre, Respiratory and Critical Care, University Hospital Southampton, Southampton SO16 6YD, UK; (M.M.); (A.F.); (A.B.); (J.M.O.); (S.V.F.); (M.P.W.G.); (M.F.); (M.G.J.); (S.J.)
- Academic School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK;
- Department of Critical Care and Anaesthesia, University Hospital Southampton, Southampton SO16 6YD, UK
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7
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Moon RJ, D’Angelo S, Holroyd CR, Crozier SR, Godfrey KM, Davies JH, Cooper C, Harvey NC. Parent-Offspring Associations in Body Composition: Findings From the Southampton Women's Survey Prospective Cohort Study. J Clin Endocrinol Metab 2023; 108:e726-e733. [PMID: 36943299 PMCID: PMC10438875 DOI: 10.1210/clinem/dgad128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Indexed: 03/23/2023]
Abstract
CONTEXT Children born to parents who are overweight or obese have a high risk of adult obesity, but it is unclear if transgenerational associations relating to unfavorable body composition differ by parent. OBJECTIVE To examine differential mother-offspring and father-offspring associations in body composition in early childhood. METHODS A total of 240 mother-father-offspring trios from a prospective UK population-based pre-birth cohort (Southampton Women's Survey) were included for anthropometry and dual-energy x-ray absorptiometry assessment of whole-body-less-head body composition in the offspring at 3 different ages (4, 6-7, and 8-9 years) and in the mother and father at the 8- to 9-year offspring visit. Associations were assessed using linear regression adjusting for the other parent. RESULTS Positive associations between mother-daughter body mass index (BMI) and fat mass were observed at ages 6 to 7 (BMI: β = .29 SD/SD, 95% CI = .10, .48; fat mass β = .27 SD/SD, 95% CI = .05, .48) and 8 to 9 years (BMI: β = .33 SD/SD, 95% CI = .13, .54; fat mass β = .31 SD/SD, 95% CI = .12, .49), with similar associations at age 4 years but bounding the 95% CI. The mother-son, father-son, and father-daughter associations for BMI and fat mass were weaker at each of the ages studied. CONCLUSION A strong association between the fat mass of mothers and their daughters but not their sons was observed. In contrast, father-offspring body composition associations were not evident. The dimorphic parent-offspring effects suggest particular attention should be given to early prevention of unfavorable body composition in girls born to mothers with excess adiposity.
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Affiliation(s)
- Rebecca J Moon
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, UK
- Paediatric Endocrinology, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Stefania D’Angelo
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, UK
| | - Christopher R Holroyd
- Department of Rheumatology, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Sarah R Crozier
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, UK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, Southampton, SO16 7NP, UK
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, UK
- Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Justin H Davies
- Paediatric Endocrinology, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
- Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
- NIHR Biomedical Research Centre, University of Oxford, Oxford OX4 2PG, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
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8
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McDonnell D, Cheang AWE, Wilding S, Wild SH, Frampton AE, Byrne CD, Hamady ZZ. Elevated Glycated Haemoglobin (HbA1c) Is Associated with an Increased Risk of Pancreatic Ductal Adenocarcinoma: A UK Biobank Cohort Study. Cancers (Basel) 2023; 15:4078. [PMID: 37627106 PMCID: PMC10452109 DOI: 10.3390/cancers15164078] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 08/01/2023] [Accepted: 08/09/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND The role of dysglycaemia as a risk marker for Pancreatic Ductal Adenocarcinoma (PDAC) is uncertain. We investigated the relationship between glycated haemoglobin (HbA1c) and incident PDAC using a retrospective cohort study within the UK Biobank. METHODS A study involving 499,804 participants from the UK Biobank study was undertaken. Participants were stratified by diabetes mellitus (DM) status, and then by HbA1c values < 42 mmol/mol, 42-47 mmol/mol, or ≥48 mmol/mol. Cox proportional hazard models were used to describe the association between HbA1c category (with time-varying interactions) and incident PDAC. RESULTS PDAC occurred in 1157 participants during 11.6 (10.9-12.3) years follow up [(median (interquartile range)]. In subjects without known DM at baseline, 12 months after recruitment, the adjusted hazard ratios (aHR, 95% CI) for incident PDAC for HbA1c 42-47 mmol/mol compared to HbA1c < 42 mmol/mol (reference group) was 2.10 (1.31-3.37, p = 0.002); and was 8.55 (4.58-15.99, p < 0.001) for HbA1c ≥ 48 mmol/mol. The association between baseline HbA1c and incident PDAC attenuated with increasing duration of time of follow-up to PDAC diagnosis. CONCLUSIONS Dysglycaemia detected by elevated HbA1c is associated with an increased risk of PDAC. The strength of the association between elevated HbA1c and incident PDAC is inversely proportional to the time from detecting dysglycaemia but remains significant for at least 60 months following HbA1c testing.
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Affiliation(s)
- Declan McDonnell
- Human Development & Health, University of Southampton, University Hospital, Southampton SO16 6YD, UK; (A.W.E.C.); (S.W.); (C.D.B.); (Z.Z.H.)
- HPB Unit, University Hospital Southampton, Southampton SO16 6YD, UK
| | - Adrian W. E. Cheang
- Human Development & Health, University of Southampton, University Hospital, Southampton SO16 6YD, UK; (A.W.E.C.); (S.W.); (C.D.B.); (Z.Z.H.)
| | - Sam Wilding
- Human Development & Health, University of Southampton, University Hospital, Southampton SO16 6YD, UK; (A.W.E.C.); (S.W.); (C.D.B.); (Z.Z.H.)
| | - Sarah H. Wild
- Usher Institute, University of Edinburgh, Edinburgh EH8 9YL, UK;
| | - Adam E. Frampton
- Section of Oncology, University of Surrey, Guildford GU2 7XH, UK;
- HPB Unit, Royal Surrey NHS Foundation Trust, Guildford GU2 7XX, UK
| | - Christopher D. Byrne
- Human Development & Health, University of Southampton, University Hospital, Southampton SO16 6YD, UK; (A.W.E.C.); (S.W.); (C.D.B.); (Z.Z.H.)
| | - Zaed Z. Hamady
- Human Development & Health, University of Southampton, University Hospital, Southampton SO16 6YD, UK; (A.W.E.C.); (S.W.); (C.D.B.); (Z.Z.H.)
- HPB Unit, University Hospital Southampton, Southampton SO16 6YD, UK
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9
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Abstract
In the last 20 years, noninvasive serum biomarkers to identify liver fibrosis in patients with non-alcoholic fatty liver disease (NAFLD) have been developed, validated against liver biopsy (the gold standard for determining the presence of liver fibrosis) and made available for clinicians to use to identify ≥F3 liver fibrosis. The aim of this review is firstly to focus on the current use of widely available biomarkers and their performance for identifying ≥F3. Secondly, we discuss whether noninvasive biomarkers have a role in identifying F2, a stage of fibrosis that is now known to be a risk factor for cirrhosis and overall mortality. We also consider whether machine learning algorithms offer a better alternative for identifying individuals with ≥F2 fibrosis. Thirdly, we summarise the utility of noninvasive serum biomarkers for predicting liver related outcomes (e.g., ascites and hepatocellular carcinoma) and non-liver related outcomes (e.g., cardiovascular-related mortality and extra hepatic cancers). Finally, we examine whether serial measurement of biomarkers can be used to monitor liver disease, and whether the use of noninvasive biomarkers in drug trials for non-alcoholic steatohepatitis can accurately, compared to liver histology, monitor liver fibrosis progression/regression. We conclude by offering our perspective on the future of serum biomarkers for the detection and monitoring of liver fibrosis in NAFLD.
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Affiliation(s)
- Tina Reinson
- Nutrition and Metabolism, Faculty of Medicine, University of Southampton, Southampton, U.K
- National Institute for Health and Care Research, Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, U.K
| | - Ryan M Buchanan
- National Institute for Health and Care Research, Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, U.K
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Christopher D Byrne
- Nutrition and Metabolism, Faculty of Medicine, University of Southampton, Southampton, U.K
- National Institute for Health and Care Research, Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, U.K
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10
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Raisi-Estabragh Z, Cooper J, Salih A, Raman B, Lee AM, Neubauer S, Harvey NC, Petersen SE. Cardiovascular disease and mortality sequelae of COVID-19 in the UK Biobank. Heart 2022; 109:119-126. [PMID: 36280346 PMCID: PMC9811071 DOI: 10.1136/heartjnl-2022-321492] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [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: 06/07/2022] [Accepted: 08/08/2022] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE To examine association of COVID-19 with incident cardiovascular events in 17 871 UK Biobank cases between March 2020 and 2021. METHODS COVID-19 cases were defined using health record linkage. Each case was propensity score-matched to two uninfected controls on age, sex, deprivation, body mass index, ethnicity, diabetes, prevalent ischaemic heart disease (IHD), smoking, hypertension and high cholesterol. We included the following incident outcomes: myocardial infarction, stroke, heart failure, atrial fibrillation, venous thromboembolism (VTE), pericarditis, all-cause death, cardiovascular death, IHD death. Cox proportional hazards regression was used to estimate associations of COVID-19 with each outcome over an average of 141 days (range 32-395) of prospective follow-up. RESULTS Non-hospitalised cases (n=14 304) had increased risk of incident VTE (HR 2.74 (95% CI 1.38 to 5.45), p=0.004) and death (HR 10.23 (95% CI 7.63 to 13.70), p<0.0001). Individuals with primary COVID-19 hospitalisation (n=2701) had increased risk of all outcomes considered. The largest effect sizes were with VTE (HR 27.6 (95% CI 14.5 to 52.3); p<0.0001), heart failure (HR 21.6 (95% CI 10.9 to 42.9); p<0.0001) and stroke (HR 17.5 (95% CI 5.26 to 57.9); p<0.0001). Those hospitalised with COVID-19 as a secondary diagnosis (n=866) had similarly increased cardiovascular risk. The associated risks were greatest in the first 30 days after infection but remained higher than controls even after this period. CONCLUSIONS Individuals hospitalised with COVID-19 have increased risk of incident cardiovascular events across a range of disease and mortality outcomes. The risk of most events is highest in the early postinfection period. Individuals not requiring hospitalisation have increased risk of VTE, but not of other cardiovascular-specific outcomes.
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Affiliation(s)
- Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Jackie Cooper
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK
| | - Ahmed Salih
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK
| | - Betty Raman
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Aaron Mark Lee
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
- Health Data Research UK, London, UK
- Alan Turing Institute, London, UK
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11
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Simpson RF, Hesketh KR, Crozier SR, Baird J, Cooper C, Godfrey KM, Harvey NC, Westgate K, Inskip HM, van Sluijs EMF. The association between number and ages of children and the physical activity of mothers: Cross-sectional analyses from the Southampton Women's Survey. PLoS One 2022; 17:e0276964. [PMID: 36383511 PMCID: PMC9668156 DOI: 10.1371/journal.pone.0276964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 10/18/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Physical activity (PA) has many health benefits, but motherhood is often associated with reduced PA. Considering that ages and number of children may be associated with maternal PA, and that PA patterns may change as children transition to formal schooling, we aimed to investigate the associations between ages and number of children and device-measured maternal PA. METHODS Cross-sectional analyses were conducted using data from 848 mothers from the Southampton Women's Survey at two different timepoints. Two-level random intercept linear models were used to investigate associations between ages (≤4y(ears) ("younger"), school-aged, both age groups) and number (1, 2, ≥3) of children, and their interaction, and accelerometer-assessed minutes of maternal moderate or vigorous PA (log-transformed MVPA) and light, moderate or vigorous PA (LMVPA). RESULTS Women with any school-aged children engaged in more MVPA than those with only ≤4y (e.g. % difference in minutes of MVPA [95% confidence interval]: 46.9% [22.0;77.0] for mothers with only school-aged vs only ≤4y). Mothers with multiple children did less MVPA than those with 1 child (e.g. 12.5% [-1.1;24.3] less MVPA for those with 2 children). For mothers with multiple children, those with any school-aged children did less LMVPA than those with only ≤4y (e.g. amongst mothers with 2 children, those with only school-aged children did 34.0 [3.9;64.1] mins/day less LMVPA). For mothers with any ≤4y, those with more children did more LMVPA (e.g. amongst mothers with only ≤4y, those with 2 children did 42.6 [16.4;68.8] mins/day more LMVPA than those with 1 child). CONCLUSIONS Mothers with multiple children and only children aged ≤4y did less MVPA. Considering that many of these women also did more LMVPA than mothers with fewer or older children, interventions and policies are needed to increase their opportunities for higher intensity PA to maximise health benefits. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT04715945.
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Affiliation(s)
- Rachel F. Simpson
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Kathryn R. Hesketh
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Sarah R. Crozier
- MRC Lifecourse Epidemiology Centre (University of Southampton), Southampton General Hospital, Southampton, United Kingdom
- NIHR Applied Research Collaboration Wessex, Southampton, United Kingdom
| | - Janis Baird
- MRC Lifecourse Epidemiology Centre (University of Southampton), Southampton General Hospital, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre (University of Southampton), Southampton General Hospital, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Centre (University of Southampton), Southampton General Hospital, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Nicholas C. Harvey
- MRC Lifecourse Epidemiology Centre (University of Southampton), Southampton General Hospital, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Kate Westgate
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Hazel M. Inskip
- MRC Lifecourse Epidemiology Centre (University of Southampton), Southampton General Hospital, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Esther M. F. van Sluijs
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
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12
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Raisi-Estabragh Z, McCracken C, Condurache D, Aung N, Vargas JD, Naderi H, Munroe PB, Neubauer S, Harvey NC, Petersen SE. Left atrial structure and function are associated with cardiovascular outcomes independent of left ventricular measures: a UK Biobank CMR study. Eur Heart J Cardiovasc Imaging 2022; 23:1191-1200. [PMID: 34907415 PMCID: PMC9365306 DOI: 10.1093/ehjci/jeab266] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 11/26/2021] [Indexed: 12/22/2022] Open
Abstract
AIMS We evaluated the associations of left atrial (LA) structure and function with prevalent and incident cardiovascular disease (CVD), independent of left ventricular (LV) metrics, in 25 896 UK Biobank participants. METHODS AND RESULTS We estimated the association of cardiovascular magnetic resonance (CMR) metrics [LA maximum volume (LAV), LA ejection fraction (LAEF), LV mass : LV end-diastolic volume ratio (LVM : LVEDV), global longitudinal strain, and LV global function index (LVGFI)] with vascular risk factors (hypertension, diabetes, high cholesterol, and smoking), prevalent and incident CVDs [atrial fibrillation (AF), stroke, ischaemic heart disease (IHD), myocardial infarction], all-cause mortality, and CVD mortality. We created uncorrelated CMR variables using orthogonal principal component analysis rotation. All five CMR metrics were simultaneously entered into multivariable regression models adjusted for sex, age, ethnicity, deprivation, education, body size, and physical activity. Lower LAEF was associated with diabetes, smoking, and all the prevalent and incident CVDs. Diabetes, smoking, and high cholesterol were associated with smaller LAV. Hypertension, IHD, AF (incident and prevalent), incident stroke, and CVD mortality were associated with larger LAV. LV and LA metrics were both independently informative in associations with prevalent disease, however LAEF showed the most consistent associations with incident CVDs. Lower LVGFI was associated with greater all-cause and CVD mortality. In secondary analyses, compared with LVGFI, LV ejection fraction showed similar but less consistent disease associations. CONCLUSION LA structure and function measures (LAEF and LAV) demonstrate significant associations with key prevalent and incident cardiovascular outcomes, independent of LV metrics. These measures have potential clinical utility for disease discrimination and outcome prediction.
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Affiliation(s)
- Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre,
Queen Mary University of London, Charterhouse Square, London
EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS
Trust, London EC1A 7BE, UK
| | - Celeste McCracken
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine,
University of Oxford, National Institute for Health Research Oxford Biomedical
Research Centre, Oxford University Hospitals NHS Foundation Trust,
Oxford OX3 9DU, UK
| | - Dorina Condurache
- London North West University Healthcare NHS Trust,
Harrow HA1 3UJ, UK
| | - Nay Aung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre,
Queen Mary University of London, Charterhouse Square, London
EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS
Trust, London EC1A 7BE, UK
| | - Jose D Vargas
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre,
Queen Mary University of London, Charterhouse Square, London
EC1M 6BQ, UK
- MedStar Georgetown University Hospital,
Washington, DC 20007, USA
| | - Hafiz Naderi
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre,
Queen Mary University of London, Charterhouse Square, London
EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS
Trust, London EC1A 7BE, UK
| | - Patricia B Munroe
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre,
Queen Mary University of London, Charterhouse Square, London
EC1M 6BQ, UK
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine,
University of Oxford, National Institute for Health Research Oxford Biomedical
Research Centre, Oxford University Hospitals NHS Foundation Trust,
Oxford OX3 9DU, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton,
Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton,
University Hospital Southampton NHS Foundation Trust,
Southampton, UK
| | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre,
Queen Mary University of London, Charterhouse Square, London
EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS
Trust, London EC1A 7BE, UK
- Health Data Research UK, London,
UK
- Alan Turing Institute, London,
UK
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13
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Lim IY, Lin X, Teh AL, Wu Y, Chen L, He M, Chan SY, MacIsaac JL, Chan JKY, Tan KH, Chong MFF, Kobor MS, Godfrey KM, Meaney MJ, Lee YS, Eriksson JG, Gluckman PD, Chong YS, Karnani N. Dichotomy in the Impact of Elevated Maternal Glucose Levels on Neonatal Epigenome. J Clin Endocrinol Metab 2022; 107:e1277-e1292. [PMID: 34633450 PMCID: PMC8852163 DOI: 10.1210/clinem/dgab710] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 12/22/2020] [Indexed: 01/22/2023]
Abstract
CONTEXT Antenatal hyperglycemia is associated with increased risk of future adverse health outcomes in both mother and child. Variations in offspring's epigenome can reflect the impact and response to in utero glycemic exposure, and may have different consequences for the child. OBJECTIVE We examined possible differences in associations of basal glucose status and glucose handling during pregnancy with both clinical covariates and offspring cord tissue DNA methylation. RESEARCH DESIGN AND METHODS This study included 830 mother-offspring dyads from the Growing Up in Singapore Towards Healthy Outcomes cohort. The fetal epigenome of umbilical cord tissue was profiled using Illumina HumanMethylation450 arrays. Associations of maternal mid-pregnancy fasting (fasting plasma glucose [FPG]) and 2-hour plasma glucose (2hPG) after a 75-g oral glucose challenge with both maternal clinical phenotypes and offspring epigenome at delivery were investigated separately. RESULTS Maternal age, prepregnancy body mass index, and blood pressure measures were associated with both FPG and 2hPG, whereas Chinese ethnicity (P = 1.9 × 10-4), maternal height (P = 1.1 × 10-4), pregnancy weight gain (P = 2.2 × 10-3), prepregnancy alcohol consumption (P = 4.6 × 10-4), and tobacco exposure (P = 1.9 × 10-3) showed significantly opposite associations between the 2 glucose measures. Most importantly, we observed a dichotomy in the effects of these glycemic indices on the offspring epigenome. Offspring born to mothers with elevated 2hPG showed global hypomethylation. CpGs most associated with the 2 measures also reflected differences in gene ontologies and had different associations with offspring birthweight. CONCLUSIONS Our findings suggest that 2 traditionally used glycemic indices for diagnosing gestational diabetes may reflect distinctive pathophysiologies in pregnancy, and have differential impacts on the offspring's DNA methylome.
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Affiliation(s)
- Ives Yubin Lim
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), 119228, Singapore
- Bioinformatics Institute (BII), A*STAR, 138671, Singapore
| | - Xinyi Lin
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Centre for Quantitative Medicine, Duke-National University of Singapore (NUS) Medical School, 169857, Singapore
- Singapore Clinical Research Institute, 138669, Singapore
| | - Ai Ling Teh
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
| | - Yonghui Wu
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
| | - Li Chen
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
| | - Menglan He
- Duke-NUS Medical School, 169857, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), 119228, Singapore
| | - Julia L MacIsaac
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V5Z 4H4, Canada
| | - Jerry K Y Chan
- KK Women’s and Children’s Hospital, 229899, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
| | - Kok Hian Tan
- KK Women’s and Children’s Hospital, 229899, Singapore
| | - Mary Foong Fong Chong
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V5Z 4H4, Canada
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, UK
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Douglas Mental Health University Institute, McGill University, Montréal, Canada
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, NUS, 119228, Singapore
- Division of Paediatric Endocrinology and Diabetes, Khoo Teck Puat-National University Children’s Medical Institute, National University Hospital, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), 119228, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, 1142, New Zealand
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), 119228, Singapore
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Bioinformatics Institute (BII), A*STAR, 138671, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, NUS, 117596, Singapore
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14
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Woolford SJ, D'Angelo S, Curtis EM, Parsons CM, Ward KA, Dennison EM, Patel HP, Cooper C, Harvey NC. COVID-19 and associations with frailty and multimorbidity: a prospective analysis of UK Biobank participants. Aging Clin Exp Res 2020; 32:1897-1905. [PMID: 32705587 PMCID: PMC7377312 DOI: 10.1007/s40520-020-01653-6] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [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] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 07/07/2020] [Indexed: 01/13/2023]
Abstract
BACKGROUND Frailty and multimorbidity have been suggested as risk factors for severe COVID-19 disease. AIMS We investigated, in the UK Biobank, whether frailty and multimorbidity were associated with risk of hospitalisation with COVID-19. METHODS 502,640 participants aged 40-69 years at baseline (54-79 years at COVID-19 testing) were recruited across UK during 2006-10. A modified assessment of frailty using Fried's classification was generated from baseline data. COVID-19 test results (England) were available for 16/03/2020-01/06/2020, mostly taken in hospital settings. Logistic regression was used to discern associations between frailty, multimorbidity and COVID-19 diagnoses, after adjusting for sex, age, BMI, ethnicity, education, smoking and number of comorbidity groupings, comparing COVID-19 positive, COVID-19 negative and non-tested groups. RESULTS 4510 participants were tested for COVID-19 (positive = 1326, negative = 3184). 497,996 participants were not tested. Compared to the non-tested group, after adjustment, COVID-19 positive participants were more likely to be frail (OR = 1.4 [95%CI = 1.1, 1.8]), report slow walking speed (OR = 1.3 [1.1, 1.6]), report two or more falls in the past year (OR = 1.3 [1.0, 1.5]) and be multimorbid (≥ 4 comorbidity groupings vs 0-1: OR = 1.9 [1.5, 2.3]). However, similar strength of associations were apparent when comparing COVID-19 negative and non-tested groups. However, frailty and multimorbidity were not associated with COVID-19 diagnoses, when comparing COVID-19 positive and COVID-19 negative participants. DISCUSSION AND CONCLUSIONS Frailty and multimorbidity do not appear to aid risk stratification, in terms of positive versus negative results of COVID-19 testing. Investigation of the prognostic value of these markers for adverse clinical sequelae following COVID-19 disease is urgently needed.
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Affiliation(s)
- S J Woolford
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - S D'Angelo
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E M Curtis
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - C M Parsons
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - K A Ward
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E M Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - H P Patel
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Medicine for Older People, University Hospital Southampton, Southampton, UK
- Academic Geriatric Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
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15
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Gbesemete D, Barker M, Lawrence WT, Watson D, de Graaf H, Read RC. Exploring the acceptability of controlled human infection with SARSCoV2-a public consultation. BMC Med 2020; 18:209. [PMID: 32635912 PMCID: PMC7339437 DOI: 10.1186/s12916-020-01670-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 06/19/2020] [Indexed: 12/20/2022] Open
Abstract
Rapid development of an effective vaccine for SARSCoV2 is a global priority. A controlled human infection model (CHIM) would accelerate the efficacy assessment of candidate vaccines. This strategy would require deliberate exposure of volunteers to SARSCoV2 with no currently available treatment and a small but definite risk of serious illness or death. This raises complex questions about the social and ethical acceptability of risk to individuals, given the potential benefit to the wider population, and as such, a study cannot be done without public involvement. We conducted a structured public consultation with 57 individuals aged 20-40 years to understand public attitudes to a CHIM, and pre-requisites for enrolment. The overall response to this strategy was positive, and many would volunteer altruistically. Carefully controlled infection is viewed as safer than natural exposure to wild virus. The prolonged social isolation required for the proposed CHIM is considered an obstacle but not insurmountable, with reasonable compensation and supportive care. Given the significant level of public interest, a CHIM should be done as open science with regular, controlled dissemination of information into the public domain. Importantly, there was a strong view that the final decision whether to conduct a CHIM should be in the hands of qualified and experienced clinician-scientists and the authorities.
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Affiliation(s)
- D Gbesemete
- Faculty of Medicine and Institute for Life Sciences, University of Southampton, School of Clinical and Experimental Sciences, NIHR Clinical Research Facility and NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust Mailpoint 218, University Hospital Southampton NHS Foundation Trust Tremona Road, Southampton, SO16 6YD, UK
| | - M Barker
- MRC Lifecourse Epidemiology Unit, University of Southampton, D08 Institute of Developmental Science and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - W T Lawrence
- MRC Lifecourse Epidemiology Unit, University of Southampton, D08 Institute of Developmental Science and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - D Watson
- School of Human Development and Health, Faculty of Medicine, University of Southampton, D08 Institute of Developmental Science, University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - H de Graaf
- Faculty of Medicine and Institute for Life Sciences, University of Southampton, School of Clinical and Experimental Sciences, NIHR Clinical Research Facility and NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust Mailpoint 218, University Hospital Southampton NHS Foundation Trust Tremona Road, Southampton, SO16 6YD, UK
| | - R C Read
- Faculty of Medicine and Institute for Life Sciences, University of Southampton, School of Clinical and Experimental Sciences, NIHR Clinical Research Facility and NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton General Hospital, South Academic Block, Mailpoint 814, Tremona Road, Southampton, SO16 6YD, UK.
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16
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Bulot FMJ, Russell HS, Rezaei M, Johnson MS, Ossont SJJ, Morris AKR, Basford PJ, Easton NHC, Foster GL, Loxham M, Cox SJ. Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution. Sensors (Basel) 2020; 20:E2219. [PMID: 32326452 PMCID: PMC7218914 DOI: 10.3390/s20082219] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 03/27/2020] [Accepted: 04/01/2020] [Indexed: 12/21/2022]
Abstract
Airborne particulate matter (PM) exposure has been identified as a key environmental risk factor, associated especially with diseases of the respiratory and cardiovascular system and with almost 9 million premature deaths per year. Low-cost optical sensors for PM measurement are desirable for monitoring exposure closer to the personal level and particularly suited for developing spatiotemporally dense city sensor networks. However, questions remain over the accuracy and reliability of the data they produce, particularly regarding the influence of environmental parameters such as humidity and temperature, and with varying PM sources and concentration profiles. In this study, eight units each of five different models of commercially available low-cost optical PM sensors (40 individual sensors in total) were tested under controlled laboratory conditions, against higher-grade instruments for: lower limit of detection, response time, responses to sharp pollution spikes lasting <1 min , and the impact of differing humidity and PM source. All sensors detected the spikes generated with a varied range of performances depending on the model and presenting different sensitivity mainly to sources of pollution and to size distributions with a lesser impact of humidity. The sensitivity to particle size distribution indicates that the sensors may provide additional information to PM mass concentrations. It is concluded that improved performance in field monitoring campaigns, including tracking sources of pollution, could be achieved by using a combination of some of the different models to take advantage of the additional information made available by their differential response.
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Affiliation(s)
- Florentin Michel Jacques Bulot
- Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK; (S.J.J.O.); (P.J.B.); (S.J.C.)
- Southampton Marine and Maritime Institute, University of Southampton, Southampton SO16 7QF, UK; (N.H.C.E.); (G.L.F.); (M.L.)
| | - Hugo Savill Russell
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, DK-4000 Roskilde, Denmark;
- Airlabs Denmark, Lersø Park Allé 107, DK-2100 Copenhagen Ø, Denmark;
- Department of Environmental Science, Atmospheric Measurement, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark
| | - Mohsen Rezaei
- Department of Chemistry, University of Copenhagen, Universitetsparken 5, DK-2100 Copenhagen Ø, Denmark;
| | - Matthew Stanley Johnson
- Airlabs Denmark, Lersø Park Allé 107, DK-2100 Copenhagen Ø, Denmark;
- Department of Chemistry, University of Copenhagen, Universitetsparken 5, DK-2100 Copenhagen Ø, Denmark;
| | - Steven James Johnston Ossont
- Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK; (S.J.J.O.); (P.J.B.); (S.J.C.)
- Southampton Marine and Maritime Institute, University of Southampton, Southampton SO16 7QF, UK; (N.H.C.E.); (G.L.F.); (M.L.)
| | | | - Philip James Basford
- Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK; (S.J.J.O.); (P.J.B.); (S.J.C.)
| | - Natasha Hazel Celeste Easton
- Southampton Marine and Maritime Institute, University of Southampton, Southampton SO16 7QF, UK; (N.H.C.E.); (G.L.F.); (M.L.)
- School of Ocean and Earth Science, National Oceanography Centre, University of Southampton, Southampton SO14 3ZH, UK
| | - Gavin Lee Foster
- Southampton Marine and Maritime Institute, University of Southampton, Southampton SO16 7QF, UK; (N.H.C.E.); (G.L.F.); (M.L.)
- School of Ocean and Earth Science, National Oceanography Centre, University of Southampton, Southampton SO14 3ZH, UK
| | - Matthew Loxham
- Southampton Marine and Maritime Institute, University of Southampton, Southampton SO16 7QF, UK; (N.H.C.E.); (G.L.F.); (M.L.)
- Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK
- National Institute for Health Research, Southampton Biomedical Research Centre, Southampton SO16 6YD, UK
- Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, UK
| | - Simon James Cox
- Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK; (S.J.J.O.); (P.J.B.); (S.J.C.)
- Southampton Marine and Maritime Institute, University of Southampton, Southampton SO16 7QF, UK; (N.H.C.E.); (G.L.F.); (M.L.)
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17
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Vogel C, Crozier S, Dhuria P, Shand C, Lawrence W, Cade J, Moon G, Lord J, Ball K, Cooper C, Baird J. Protocol of a natural experiment to evaluate a supermarket intervention to improve food purchasing and dietary behaviours of women (WRAPPED study) in England: a prospective matched controlled cluster design. BMJ Open 2020; 10:e036758. [PMID: 32047023 PMCID: PMC7044911 DOI: 10.1136/bmjopen-2020-036758] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Poor diet is a leading risk factor for non-communicable diseases and costs the National Health Service £5.8 billion annually. Product placement strategies used extensively in food outlets, like supermarkets, can influence customers' preferences. Policy-makers, including the UK Government, are considering legislation to ensure placement strategies promote healthier food purchasing and dietary habits. High-quality scientific evidence is needed to inform future policy action. This study will assess whether healthier placement strategies in supermarkets improve household purchasing patterns and the diets of more than one household member. METHODS AND ANALYSES This natural experiment, with a prospective matched controlled cluster design, is set in discount supermarkets across England. The primary objective is to investigate whether enhanced placement of fresh fruit and vegetables improves household-level purchasing of these products after 6 months. Secondary objectives will examine: (1) differences in intervention effects on purchasing by level of educational attainment, (2) intervention effects on the dietary quality of women and their young children, (3) intervention effects on store-level sales of fruit and vegetables and (4) cost-effectiveness of the intervention from individual, retailer and societal perspectives. Up to 810 intervention and 810 control participants will be recruited from 18 intervention and 18 matched control stores. Eligible participants will be women aged 18-45 years, who hold a loyalty card and shop in a study store. Each control store will be matched to an intervention store on: (1) sales profile, (2) neighbourhood deprivation and (3) customer profile. A detailed process evaluation will assess intervention implementation, mechanisms of impact and, social and environmental contexts. ETHICS AND DISSEMINATION Ethical approval was obtained from the University of Southampton, Faculty of Medicine Ethics Committee (ID 20986.A5). Primary, secondary and process evaluation results will be submitted for publication in peer-reviewed scientific journals and shared with policy-makers. TRIAL REGISTRATION NUMBER NCT03573973; Pre-results.
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Affiliation(s)
- Christina Vogel
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Sarah Crozier
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Preeti Dhuria
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Calum Shand
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Wendy Lawrence
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Janet Cade
- School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Graham Moon
- Geography and Environmental Science, University of Southampton, Southampton, UK
| | - Joanne Lord
- Southampton Health Technology Assessments Centre, University of Southampton, Southampton, UK
| | - Kylie Ball
- Institute for Physical Activity and Nutrition Research, Deakin University, Burwood, Victoria, Australia
| | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Janis Baird
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, 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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18
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Westbury LD, Shere C, Edwards MH, Cooper C, Dennison EM, Ward KA. Cluster Analysis of Finite Element Analysis and Bone Microarchitectural Parameters Identifies Phenotypes with High Fracture Risk. Calcif Tissue Int 2019; 105:252-262. [PMID: 31187198 PMCID: PMC6694037 DOI: 10.1007/s00223-019-00564-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 05/10/2019] [Indexed: 12/02/2022]
Abstract
High-resolution peripheral quantitative computed tomography (HRpQCT) is increasingly used for exploring associations between bone microarchitectural and finite element analysis (FEA) parameters and fracture. We hypothesised that combining bone microarchitectural parameters, geometry, BMD and FEA estimates of bone strength from HRpQCT may improve discrimination of fragility fractures. The analysis sample comprised of 359 participants (aged 72-81 years) from the Hertfordshire Cohort Study. Fracture history was determined by self-report and vertebral fracture assessment. Participants underwent HRpQCT scans of the distal radius and DXA scans of the proximal femur and lateral spine. Poisson regression with robust variance estimation was used to derive relative risks for the relationship between individual bone microarchitectural and FEA parameters and previous fracture. Cluster analysis of these parameters was then performed to identify phenotypes associated with fracture prevalence. Receiver operating characteristic analysis suggested that bone microarchitectural parameters improved fracture discrimination compared to aBMD alone, whereas further inclusion of FEA parameters resulted in minimal improvements. Cluster analysis (k-means) identified four clusters. The first had lower Young modulus, cortical thickness, cortical volumetric density and Von Mises stresses compared to the wider sample; fracture rates were only significantly greater among women (relative risk [95%CI] compared to lowest risk cluster: 2.55 [1.28, 5.07], p = 0.008). The second cluster in women had greater trabecular separation, lower trabecular volumetric density and lower trabecular load with an increase in fracture rate compared to lowest risk cluster (1.93 [0.98, 3.78], p = 0.057). These findings may help inform intervention strategies for the prevention and management of osteoporosis.
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Affiliation(s)
- Leo D Westbury
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Clare Shere
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Mark H Edwards
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Queen Alexandra Hospital, Portsmouth, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Victoria University of Wellington, Wellington, New Zealand
| | - Kate A Ward
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- MRC Nutrition and Bone Health Research Group, Cambridge, UK
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19
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Gluckman PD, Hanson MA, Low FM. Evolutionary and developmental mismatches are consequences of adaptive developmental plasticity in humans and have implications for later disease risk. Philos Trans R Soc Lond B Biol Sci 2019; 374:20180109. [PMID: 30966891 PMCID: PMC6460082 DOI: 10.1098/rstb.2018.0109] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [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] [Accepted: 10/31/2018] [Indexed: 01/29/2023] Open
Abstract
A discrepancy between the phenotype of an individual and that which would confer optimal responses in terms of fitness in an environment is termed 'mismatch'. Phenotype results from developmental plasticity, conditioned partly by evolutionary history of the species and partly by aspects of the developmental environment. We discuss two categories of such mismatch with reference primarily to nutrition and in the context of evolutionary medicine. The categories operate over very different timescales. A developmental mismatch occurs when the phenotype induced during development encounters a different environment post-development. This may be the result of wider environmental changes, such as nutritional transition between generations, or because maternal malnutrition or placental dysfunction give inaccurate information about the organism's likely future environment. An evolutionary mismatch occurs when there is an evolutionarily novel environment. Developmental plasticity may involve immediate adaptive responses (IARs) to preserve survival if an environmental challenge is severe, and/or predictive adaptive responses (PARs) if the challenge does not threaten survival, but there is a fitness advantage in developing a phenotype that will be better adapted later. PARs can have long-term adverse health consequences if there is a developmental mismatch. For contemporary humans, maternal constraint of fetal growth makes PARs likely even if there is no obvious IAR, and this, coupled with the pervasive nutritionally dense modern environment, can explain the widespread observations of developmental mismatch, particularly in populations undergoing nutritional transition. Both developmental and evolutionary mismatch have important public health consequences and implications for where policy interventions may be most effective. This article is part of the theme issue 'Developing differences: early-life effects and evolutionary medicine'.
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Affiliation(s)
- Peter D. Gluckman
- Liggins Institute, University of Auckland, New Zealand
- Singapore Institute for Clinical Sciences, Singapore
| | - Mark A. Hanson
- Institute of Developmental Sciences, University of Southampton, Southampton SO17 1BJ, UK
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20
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Pinedo-Villanueva R, Westbury LD, Syddall HE, Sanchez-Santos MT, Dennison EM, Robinson SM, Cooper C. Health Care Costs Associated With Muscle Weakness: A UK Population-Based Estimate. Calcif Tissue Int 2019; 104:137-144. [PMID: 30244338 PMCID: PMC6330088 DOI: 10.1007/s00223-018-0478-1] [Citation(s) in RCA: 90] [Impact Index Per Article: 18.0] [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: 07/17/2018] [Accepted: 09/18/2018] [Indexed: 11/27/2022]
Abstract
Sarcopenia and muscle weakness are responsible for considerable health care expenditure but little is known about these costs in the UK. To address this, we estimated the excess economic burden for individuals with muscle weakness regarding the provision of health and social care among 442 men and women (aged 71-80 years) who participated in the Hertfordshire Cohort Study (UK). Muscle weakness, characterised by low grip strength, was defined according to the Foundation for the National Institutes of Health criteria (men < 26 kg, women < 16 kg). Costs associated with primary care consultations and visits, outpatient and inpatient secondary care, medications, and formal (paid) as well as informal care for each participant were calculated. Mean total costs per person and their corresponding components were compared between groups with and without muscle weakness. Prevalence of muscle weakness in the sample was 11%. Mean total annual costs for participants with muscle weakness were £4592 (CI £2962-£6221), with informal care, inpatient secondary care and primary care accounting for the majority of total costs (38%, 23% and 19%, respectively). For participants without muscle weakness, total annual costs were £1885 (CI £1542-£2228) and their three highest cost categories were informal care (26%), primary care (23%) and formal care (20%). Total excess costs associated with muscle weakness were £2707 per person per year, with informal care costs accounting for 46% of this difference. This results in an estimated annual excess cost in the UK of £2.5 billion.
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Affiliation(s)
- Rafael Pinedo-Villanueva
- Musculoskeletal Epidemiology, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Leo D Westbury
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Holly E Syddall
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Maria T Sanchez-Santos
- Musculoskeletal Epidemiology, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Victoria University of Wellington, Wellington, New Zealand
| | - Sian M Robinson
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
- NIHR Musculoskeletal Biomedical Research Centre, University of Oxford, Oxford, UK.
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