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. 2022 Jun;3(6):e428-e436.
doi: 10.1016/S2666-7568(22)00117-9.

Cardiometabolic multimorbidity, genetic risk, and dementia: a prospective cohort study

Affiliations

Cardiometabolic multimorbidity, genetic risk, and dementia: a prospective cohort study

Xin You Tai et al. Lancet Healthy Longev. 2022 Jun.

Abstract

Background: Individual cardiometabolic disorders and genetic factors are associated with an increased dementia risk; however, the relationship between dementia and cardiometabolic multimorbidity is unclear. We investigated whether cardiometabolic multimorbidity increases the risk of dementia, regardless of genetic risk, and examined for associated brain structural changes.

Methods: We examined health and genetic data from 203 038 UK Biobank participants of European ancestry, aged 60 years or older without dementia at baseline assessment (2006-10) and followed up until March 31, 2021, in England and Scotland and Feb 28, 2018, in Wales, as well as brain structural data in a nested imaging subsample of 12 236 participants. A cardiometabolic multimorbidity index comprising stroke, diabetes, and myocardial infarction (one point for each), and a polygenic risk score for dementia (with low, intermediate, and high risk groups) were calculated for each participant. The main outcome measures were incident all-cause dementia and brain structural metrics.

Findings: The dementia risk associated with high cardiometabolic multimorbidity was three times greater than that associated with high genetic risk (hazard ratio [HR] 5·55, 95% CI 3·39-9·08, p<0·0001, and 1·68, 1·53-1·84, p<0·0001, respectively). Participants with both a high genetic risk and a cardiometabolic multimorbidity index of two or greater had an increased risk of developing dementia (HR 5·74, 95% CI 4·26-7·74, p<0·0001), compared with those with a low genetic risk and no cardiometabolic conditions. Crucially, we found no interaction between cardiometabolic multimorbidity and polygenic risk (p=0·18). Cardiometabolic multimorbidity was independently associated with more extensive, widespread brain structural changes including lower hippocampal volume (F2, 12 110 = 10·70; p<0·0001) and total grey matter volume (F2, 12 236 = 55·65; p<0·0001).

Interpretation: Cardiometabolic multimorbidity was independently associated with the risk of dementia and extensive brain imaging differences to a greater extent than was genetic risk. Targeting cardiometabolic multimorbidity might help to reduce the risk of dementia, regardless of genetic risk.

Funding: Wellcome Trust, Alzheimer's Research UK, Alan Turing Institute/Engineering and Physical Sciences Research Council, the National Institute for Health Research Applied Research Collaboration South West Peninsula, National Health and Medical Research Council, JP Moulton Foundation, and National Institute on Aging/National Institutes of Health.

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Conflict of interest statement

We declare no competing interests.

Figures

Figure 1
Figure 1
Risk of incident dementia by cardiometabolic disease status at baseline Data are HRs for incident dementia, associated with mutually exclusive groupings of cardiometabolic conditions. The model has been adjusted for age, sex, education, socioeconomic status, relatedness, number of alleles included in the polygenic risk score, first 20 principal components of ancestry, and assessment centre. Unadjusted model results are shown in the appendix (p 13). HR=hazard ratio.
Figure 2
Figure 2
Risk of incident dementia according to CM index and genetic risk Data are HRs for incident dementia, according to CM index and genetic risk. The reference group was participants with low genetic risk and a CM index of 0. The model has been adjusted for age, sex, education, socioeconomic status, relatedness, number of alleles included in the polygenic risk score, first 20 principal components of ancestry, and assessment centre. Unadjusted model results are shown in the appendix (p 14). CM=cardiometabolic multimorbidity. HR=hazard ratio.
Figure 3
Figure 3
Total hippocampal volume, total grey matter volume, and white matter hyperintensity volume associated with CMI and polygenic risk Data are brain volume of the hippocampi, total grey matter, and white matter hyperintensities stratified according to CMI and polygenic risk. Error bars represent SEs. White matter hyperintensity volume has been log-transformed because of skewed distribution. CMI=cardiometabolic multimorbidity index. PRS=polygenic risk score.

Comment in

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