| Title: | Sex- and age-specific associations between cardiometabolic risk and white matter brain age in the UK Biobank cohort |
| Journal: | Human Brain Mapping |
| Published: | 23 Apr 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35460147/ |
| DOI: | https://doi.org/10.1002/hbm.25882 |
| URL: | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.25882 |
| Citations: | 21 (18 in last 2 years) as of 8 Aug 2024 |
Publication 12399
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Abstract
Cardiometabolic risk (CMR) factors are associated with accelerated brain aging and increased risk for sex-dimorphic illnesses such as Alzheimer's disease (AD). Yet, it is unknown how CMRs interact with sex and apolipoprotein E-ϵ4 (APOE4), a known genetic risk factor for AD, to influence brain age across different life stages. Using age prediction based on multi-shell diffusion-weighted imaging data in 21,308 UK Biobank participants, we investigated whether associations between white matter Brain Age Gap (BAG) and body mass index (BMI), waist-to-hip ratio (WHR), body fat percentage (BF%), and APOE4 status varied (i) between males and females, (ii) according to age at menopause in females, and (iii) across different age groups in males and females. We report sex differences in associations between BAG and all three CMRs, with stronger positive associations among males compared to females. Independent of APOE4 status, higher BAG (older brain age relative to chronological age) was associated with greater BMI, WHR, and BF% in males, whereas in females, higher BAG was associated with greater WHR, but not BMI and BF%. These divergent associations were most prominent within the oldest group of females (66-81 years), where greater BF% was linked to lower BAG. Earlier menopause transition was associated with higher BAG, but no interactions were found with CMRs. In conclusion, the findings point to sex- and age-specific associations between CMRs and brain age. Incorporating sex as a factor of interest in studies addressing CMR may promote sex-specific precision medicine, consequently improving health care for both males and females.</p>
13 Keywords
- Age Factors
- Alzheimer Disease
- Apolipoprotein E4
- Biological Specimen Banks
- Body Mass Index
- Brain
- Cardiovascular Diseases
- Female
- Humans
- Male
- Risk Factors
- United Kingdom
- White Matter
13 Authors
- Sivaniya Subramaniapillai
- Sana Suri
- Claudia Barth
- Ivan I. Maximov
- Irene Voldsbekk
- Dennis van der Meer
- Tiril P. Gurholt
- Dani Beck
- Bogdan Draganski
- Ole A. Andreassen
- Klaus P. Ebmeier
- Lars T. Westlye
- Ann-Marie G. de Lange
1 Application
| Application ID | Title |
|---|---|
| 27412 | Boosting the power of GWAS using novel statistical tools |
Enabling scientific discoveries that improve human health