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| Name | Class |
|---|---|
| Guy's and St Thomas' NHS Foundation Trust | OTHER |
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This study aims to create a comprehensive Magnetic Resonance Imaging data resource in twins aged 18 years and older. The data will be used alone or in conjunction with existing data to explore organ-specific ageing and twin-pair differences related to ageing and disease.
BACKGROUND Diverse interactions between environmental, genetic, and epigenetic factors shape individual paths of ageing and disease. In young adulthood, twins are highly similar in most organ structures, but their similarity decreases over time as they are progressively exposed to different environments. Twin studies provide an ideal way to investigate how the body ages and how age-related diseases (such as Alzheimer's disease, heart failure, fatty liver disease, and cancer) develop. Magnetic Resonance Imaging (MRI) is a type of scan that produces detailed images of the inside of the body. MRI enables non-invasive and safe visualisation of age and disease-related changes in the body, often long before clinical symptoms are perceived. MRI-derived biological features/biomarkers can be used to understand the influence of environmental exposures on ageing and disease.
PARTICIPANTS 2500 adult (age 18 and older) volunteers of TwinsUK, the UK's largest adult twin Biobank and the most clinically detailed globally, will be invited to participate. Interested individuals will complete screening to confirm study eligibility and their safety for MRI scanning. Eligible participants will complete informed consent prior to undertaking research MRI scans of their brain, spine, heart, abdomen and parts of their skeleton and muscles. 350 twins with differences in their data will be invited to repeat the MRI scans about two years later to explore longitudinal multi-organ imaging correlates of key environmental exposures based on cross-sectional signals and existing literature.
PROCEDURES Two 45-minute MRI scans of (1) the head and spine and (2) the abdomen to the upper thigh.
OUTCOMES Imaging-derived measures of morphology and function of the brain, spine, abdominal organs and musculoskeletal tissue. These measures will be used to identify twin pair differences related to ageing and disease. A comprehensive repository of MRI data will be created using protocols harmonised with the UK biobank. This will facilitate subsequent linkage with concurrently acquired samples and historic exposome data in longitudinal twin cohort.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Magnetic Resonance Imaging | Procedure |
|
| Measure | Description | Time Frame |
|---|---|---|
| BrainAGE score | BrainAGE will be calculated using MRI-derived phenotypes of brain volumetric changes (Cole et al, 2017). | At time of scan (duration 45 mins) |
| BodyAGE score | BodyAGE will be calculated using MRI-derived phenotypes of organ and tissue changes in the heart, liver, pancreas, kidneys, spine and muscle (Linge et al, 2018). | At time of scan (duration 45 mins) |
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Inclusion Criteria:
Exclusion Criteria:
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TwinsUK Biobank longitudinal registry twin volunteers.
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| Name | Affiliation | Role |
|---|---|---|
| Claire Steves | King's College London | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| King's College London | London | SE1 7EH | United Kingdom |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 28765056 | Background | Cole JH, Poudel RPK, Tsagkrasoulis D, Caan MWA, Steves C, Spector TD, Montana G. Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker. Neuroimage. 2017 Dec;163:115-124. doi: 10.1016/j.neuroimage.2017.07.059. Epub 2017 Jul 29. | |
| 29785727 | Background | Linge J, Borga M, West J, Tuthill T, Miller MR, Dumitriu A, Thomas EL, Romu T, Tunon P, Bell JD, Dahlqvist Leinhard O. Body Composition Profiling in the UK Biobank Imaging Study. Obesity (Silver Spring). 2018 Nov;26(11):1785-1795. doi: 10.1002/oby.22210. Epub 2018 May 22. |
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Access to the data may be requested by application to the TwinsUK Resource Executive Committee (TREC).
The data will be available after the primary analyses have been reported and as determined by TREC based on the application data sharing policies. The data will remain available for the foreseeable future with no end date, at present
See the information in the link.
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| ID | Term |
|---|---|
| D009682 | Magnetic Resonance Spectroscopy |
| ID | Term |
|---|---|
| D013057 | Spectrum Analysis |
| D002623 | Chemistry Techniques, Analytical |
| D008919 | Investigative Techniques |
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