Associations of circulating metabolites with cerebral white matter hyperintensities

Author:

Sun Yan1,Guo Yu2,Li Hong‐Qi2,Tan Lan1,Feng Jian‐Feng34567,Cheng Wei2345,Yu Jin‐Tai2ORCID

Affiliation:

1. Department of Neurology, Qingdao Municipal Hospital Qingdao University Qingdao China

2. Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College Fudan University, National Center for Neurological Disorders Shanghai China

3. Institute of Science and Technology for Brain‐Inspired Intelligence Fudan University Shanghai China

4. Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence (Fudan University) Ministry of Education Shanghai China

5. Fudan ISTBI—ZJNU Algorithm Centre for Brain‐Inspired Intelligence Zhejiang Normal University Jinhua China

6. MOE Frontiers Center for Brain Science Fudan University Shanghai China

7. Zhangjiang Fudan International Innovation Center Shanghai China

Abstract

AbstractWhite matter hyperintensities (WMH) are the most compelling risk factors of stroke, dementia, and early mortality. We aimed to investigate the associations between WMH and circulating metabolites. We studied up to 8190 individuals from the UK Biobank, who have both measurements of 249 plasma metabolites and WMH volume. Linear regression models were applied in pooled samples, and age‐stratified and sex‐stratified subsamples to estimate the associations between WMH and metabolomic measures. We conducted three analytic models. In the basic model, we identified 45 metabolomic measures associated with WMH after multiple testing correction (p < 0.0022), 15 of which remained significant in additional adjustments, but no metabolites passed the full adjustment in pooled samples. The 15 WMH‐related metabolites were subfractions of various sizes of high‐density lipoprotein (HDL), fatty acids, and glycoprotein acetyls. Among them, one fatty acid metabolite and 12 HDL‐related traits showed significant negative associations with WMH. Higher glycoprotein acetyls were associated with large WMH. Strong age and sex specificities were observed indicating distinct metabolomic features accompany WMH in different samples. More metabolites were identified in males and adults under 50 years old. Circulating metabolites showed remarkably widespread associations with WMH. Population specificities may shed light on the different pertinent implications of WMH.image

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cellular and Molecular Neuroscience,Biochemistry

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