| Title: | Data-driven discovery of midlife cardiometabolic profile associated with incident early-onset and late-onset dementia |
| Journal: | Diabetes Obesity and Metabolism |
| Published: | 6 Mar 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40045775/ |
| DOI: | https://doi.org/10.1111/dom.16292 |
Publication 15642
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Abstract
BACKGROUND: Cardiometabolic risk factors have been associated with the risk of late-onset dementia. However, evidence regarding early-onset dementia was inconsistent, and the impact of clustered cardiometabolic risk factors was unclear. We aimed to investigate the associations of cardiometabolic profiles with incident early-onset and late-onset dementia.</p>
METHODS: Among 289 494 UK Biobank participants, cluster analysis was built on 12 common cardiometabolic markers. Analyses were performed on those aged <65 years at baseline (n = 249 870) for early-onset dementia and those ≥65 at the end of follow-up (n = 191 213) for late-onset dementia.</p>
RESULTS: During a median follow-up of 14.1 years, 279 early-onset dementia cases and 3167 late-onset dementia cases were documented. Among the five clusters of cardiometabolic profiles identified (cluster 1 [obesity-dyslipidemia pattern], cluster 2 [high blood pressure pattern], cluster 3 [high liver enzymes pattern], cluster 4 [inflammation pattern] and cluster 5 [relatively healthy pattern]), cluster 3 was significantly associated with higher risks of both early-onset and late-onset dementia; however, the risk estimate for early-onset dementia (hazard ratio 2.58, 95% CI 1.61-4.14) was larger than that for late-onset dementia (1.36, 1.09-1.71). Cluster 4 was associated with a higher risk of late-onset dementia (hazard ratio 1.39, 95% CI 1.13-1.72). No significant interactions were observed between cardiometabolic clusters and apolipoprotein E ε4 genotype.</p>
CONCLUSIONS: Cardiometabolic patterns characterised by relatively high liver enzyme levels or systemic inflammation were associated with increased risks of early-onset and late-onset dementia. Identification of high-risk subgroups according to distinct cardiometabolic patterns might help develop more precise strategies for dementia prevention regardless of apolipoprotein E (APOE) ε4 status.</p>
11 Authors
- Jiang Li
- Jie Li
- Yuefeng Yu
- Ying Sun
- Yanqi Fu
- Lingli Cai
- Wenqi Shen
- Xiao Tan
- Ningjian Wang
- Yingli Lu
- Bin Wang
1 Application
| Application ID | Title |
|---|---|
| 205837 | Integrated omics to implore risk, diagnostic, and prognostic factors of cardiovascular disease |
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