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Sex-Dependent Effects of Cardiometabolic Health and APOE4 on Brain Age: A Longitudinal Cohort Study

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Title: Sex-Dependent Effects of Cardiometabolic Health and APOE4 on Brain Age: A Longitudinal Cohort Study
Authors: Sivaniya Subramaniapillai, Louise S. Schindler, Paul Redmond, Mark E. Bastin, Joanna M. Wardlaw, Maria Valdés Hernández, Susana Muñoz Maniega, Benjamin Aribisala, Lars T. Westlye, William Coath, James Groves, David M. Cash, Josephine Barnes, Sarah-Naomi James, Carole H. Sudre, Frederik Barkhof, Marcus Richards, Janie Corley, Tom C. Russ, Simon R. Cox, Jonathan M. Schott, James H. Cole, Ann-Marie G. de Lange
Source: Neurology
Neurology, vol. 103, no. 6, pp. e209744
Publisher Information: Ovid Technologies (Wolters Kluwer Health), 2024.
Publication Year: 2024
Subject Terms: Male, sex differences, Sex Characteristics, brain health, Aging, Apolipoprotein E4, Brain, Cardiometabolic Risk Factors, Blood Pressure, APOE4 risk, Magnetic Resonance Imaging, United Kingdom, Body Mass Index, Cohort Studies, Humans, Female, Apolipoprotein E4/genetics, Aged, Longitudinal Studies, Brain/metabolism, Brain/diagnostic imaging, Brain/growth & development, Aging/genetics, Blood Pressure/physiology, United Kingdom/epidemiology, Research Article
Description: Link to paper: Neurology, 2023 Authorship: Sivaniya Subramaniapillai, Louise S Schindler, Paul Redmond, Mark E Bastin, Joanne M Wardlaw, Maria C Valdés Hernández, Susana Muñoz Maniega, Benjamin Aribisala, Lars T Westlye, William Coath, James Groves, David M Cash, Josephine Barnes, Sarah-Naomi James, Carole H Sudre, Frederik Barkhof, Marcus Richards, Janie Corley, Tom C Russ, Simon R Cox, Jonathan M Schott, James H Cole, Ann-Marie G de Lange Primary datasets: Insight 46 Description: Insight 46 is a neuroscience sub-study of the MRC NSHD that explores how genetic and life course factors affect brain health, ageing, and dementia risk. It began in 2015 with 502 participants who underwent detailed clinical assessments, including brain imaging, cognitive testing, and biosampling, across two visits. In 2021, the study expanded to include more NSHD participants, and data collection is ongoing until 2026. By combining these in-depth clinical measures with lifelong data, the study offers a unique opportunity to investigate early indicators of dementia and the processes underlying healthy and abnormal brain ageing. Data documentation: NSHD Insight 46 Metadata Access: Access prerequisites | Insight 46 Topics Key references: Lane et al., 2017; Murray-Smith et al., 2024 Lothian Birth Cohort 1936 Description: The Lothian Birth Cohort 1936 (LBC1936) is a longitudinal study tracking cognitive aging from childhood into old age, beginning with participants who took part in the 1947 Scottish Mental Survey at age 11. It offers a rare nearly life-long dataset by following individuals born in 1936 and re-assessing them every three years from age 70 onward. The study collects comprehensive data, including cognitive tests, brain imaging, genetic information, and medical and lifestyle factors. Its main goal is to uncover what influences cognitive decline or resilience, focusing particularly on the roles of genetics, brain structure, and vascular health. The dataset is unique for its long-term scope and depth of biological and psychological data. Data documentation & access: LBC1936 Data Access Key references: Deary et al., 2007, 2012; Taylor et al., 2018; Wardlaw et al., 2011; Corley et al., 2018
Document Type: Article
Other literature type
File Description: application/pdf
Language: English
ISSN: 1526-632X
0028-3878
DOI: 10.1212/wnl.0000000000209744
DOI: 10.5281/zenodo.17244985
DOI: 10.5281/zenodo.17244986
Access URL: https://pubmed.ncbi.nlm.nih.gov/39173100
https://serval.unil.ch/notice/serval:BIB_950AA6B5BFBF
https://serval.unil.ch/resource/serval:BIB_950AA6B5BFBF.P001/REF.pdf
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_950AA6B5BFBF5
Rights: CC BY
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CC BY NC ND
URL: http://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Accession Number: edsair.doi.dedup.....42ced0e085df48e12aa862f3587c5408
Database: OpenAIRE
Description
Abstract:Link to paper: Neurology, 2023 Authorship: Sivaniya Subramaniapillai, Louise S Schindler, Paul Redmond, Mark E Bastin, Joanne M Wardlaw, Maria C Valdés Hernández, Susana Muñoz Maniega, Benjamin Aribisala, Lars T Westlye, William Coath, James Groves, David M Cash, Josephine Barnes, Sarah-Naomi James, Carole H Sudre, Frederik Barkhof, Marcus Richards, Janie Corley, Tom C Russ, Simon R Cox, Jonathan M Schott, James H Cole, Ann-Marie G de Lange Primary datasets: Insight 46 Description: Insight 46 is a neuroscience sub-study of the MRC NSHD that explores how genetic and life course factors affect brain health, ageing, and dementia risk. It began in 2015 with 502 participants who underwent detailed clinical assessments, including brain imaging, cognitive testing, and biosampling, across two visits. In 2021, the study expanded to include more NSHD participants, and data collection is ongoing until 2026. By combining these in-depth clinical measures with lifelong data, the study offers a unique opportunity to investigate early indicators of dementia and the processes underlying healthy and abnormal brain ageing. Data documentation: NSHD Insight 46 Metadata Access: Access prerequisites | Insight 46 Topics Key references: Lane et al., 2017; Murray-Smith et al., 2024 Lothian Birth Cohort 1936 Description: The Lothian Birth Cohort 1936 (LBC1936) is a longitudinal study tracking cognitive aging from childhood into old age, beginning with participants who took part in the 1947 Scottish Mental Survey at age 11. It offers a rare nearly life-long dataset by following individuals born in 1936 and re-assessing them every three years from age 70 onward. The study collects comprehensive data, including cognitive tests, brain imaging, genetic information, and medical and lifestyle factors. Its main goal is to uncover what influences cognitive decline or resilience, focusing particularly on the roles of genetics, brain structure, and vascular health. The dataset is unique for its long-term scope and depth of biological and psychological data. Data documentation & access: LBC1936 Data Access Key references: Deary et al., 2007, 2012; Taylor et al., 2018; Wardlaw et al., 2011; Corley et al., 2018
ISSN:1526632X
00283878
DOI:10.1212/wnl.0000000000209744