NCT06014567

Brief Summary

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.

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
2,500

participants targeted

Target at P75+ for all trials

Timeline
22mo left

Started Dec 2023

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
enrolling by invitation

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress57%
Dec 2023Mar 2028

First Submitted

Initial submission to the registry

July 4, 2023

Completed
2 months until next milestone

First Posted

Study publicly available on registry

August 28, 2023

Completed
4 months until next milestone

Study Start

First participant enrolled

December 19, 2023

Completed
4.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 1, 2028

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 1, 2028

Last Updated

January 25, 2024

Status Verified

July 1, 2023

Enrollment Period

4.2 years

First QC Date

July 4, 2023

Last Update Submit

January 24, 2024

Conditions

Aging

Keywords

Magnetic resonance imaging (MRI)Twins

Outcome Measures

Primary Outcomes (2)

  • 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)

Interventions

Magnetic Resonance ImagingPROCEDURE

1. A single (≤45 minutes) brain MRI will include T1w and T2w imaging to assess the morphology and structure of the brain, as well as inflammatory processes. Diffusion-weighted imaging will be used to gain information about internal brain connectivity related to brain functions. MRI, MR angiography (MRA) and fMRI pulse sequences will also be acquired to detect vascular pathologies and brain lesions. T2w morphological images of the whole spine will also be obtained. 2. A single (≤45 minutes) MR imaging investigation to include cardiovascular, abdominal, and musculoskeletal regions. MRI will be performed to assess the structure and function of these body regions and organs, including functional imaging of the heart. These investigations will include T1w and T2w imaging to assess morphology and structure, mapping studies of T1, T2 and T2\*, perfusion imaging and cine imaging to assess the heart dynamically.

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

TwinsUK Biobank longitudinal registry twin volunteers.

You may qualify if:

  • Identical or non-identical twins
  • Gender: Male or Female
  • Age: 18 years or above at the time of recruitment
  • Must be able to understand the study information and provide informed consent
  • Participation in the TwinsUK Biobank

You may not qualify if:

  • Pregnancy
  • Unable to tolerate MRI Procedures, e.g., claustrophobia, severe anxiety
  • Contraindication to MRI Scanning, e.g., presence of non-MR conditional implants
  • Any additional condition declared voluntarily by the participant that the principal investigator (PI) deems likely to affect the study's outcome.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

King's College London

London, SE1 7EH, United Kingdom

Location

Related Publications (2)

  • 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.

    PMID: 28765056BACKGROUND

  • 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.

    PMID: 29785727BACKGROUND

MeSH Terms

Interventions

Magnetic Resonance Spectroscopy

Intervention Hierarchy (Ancestors)

Spectrum AnalysisChemistry Techniques, AnalyticalInvestigative Techniques

Study Officials

  • Claire Steves

    King's College London

    STUDY CHAIR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 4, 2023

First Posted

August 28, 2023

Study Start

December 19, 2023

Primary Completion (Estimated)

March 1, 2028

Study Completion (Estimated)

March 1, 2028

Last Updated

January 25, 2024

Record last verified: 2023-07

Data Sharing

IPD Sharing
Will share

Access to the data may be requested by application to the TwinsUK Resource Executive Committee (TREC).

Shared Documents
STUDY PROTOCOL, ICF
Time Frame
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
Access Criteria
See the information in the link.
More information

Locations

GB(1)