Circulating metabolites and risk of incident dementia: A prospective cohort study

Author:

Huang Shu‐Yi1,Zhang Ya‐Ru1,Yang Liu1,Li Yu‐Zhu2,Wu Bang‐Sheng1,Chen Shi‐Dong1,Feng Jian‐Feng234,Dong Qiang1,Cheng Wei12345,Yu Jin‐Tai1ORCID

Affiliation:

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

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

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

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

5. Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center Shanghai China

Abstract

AbstractIdentifying circulating metabolites associated with dementia, cognition, and brain volume may improve the understanding of dementia pathogenesis and provide novel insights for preventive and therapeutic interventions. This cohort study included a total of 87 885 participants (median follow‐up of 9.1 years, 54% female) without dementia at baseline from the UK Biobank. A total of 249 plasma metabolites were measured using nuclear magnetic resonance spectroscopy at baseline. Cox proportional regression was used to examine the associations of each metabolite with incident dementia (cases = 1134), Alzheimer's disease (AD; cases = 488), and vascular dementia (VD; cases = 257) during follow‐up. Dementia‐associated metabolites were further analyzed for association with cognitive deficits (N = 87 885) and brain volume (N = 7756) using logistic regression and linear regression. We identified 26 metabolites associated with incident dementia, of which 6 were associated with incident AD and 5 were associated with incident VD. These 26 dementia‐related metabolites were subfractions of intermediate‐density lipoprotein, large low‐density lipoprotein (L‐LDL), small high‐density lipoprotein (S‐HDL), very‐low‐density lipoprotein, fatty acids, ketone bodies, citrate, glucose, and valine. Among them, the cholesterol percentage in L‐LDL (L‐LDL‐C%) was associated with lower risk of AD (HR [95% CI] = 0.92 [0.87–0.97], p = 0.002), higher brain cortical (β = 0.047, p = 3.91 × 10−6), and hippocampal (β = 0.043, p = 1.93 × 10−4) volume. Cholesteryl ester–to–total lipid ratio in L‐LDL (L‐LDL‐CE%) was associated with lower risk of AD (HR [95% CI] = 0.93 [0.90–0.96], p = 1.48 × 10−4), cognitive deficits (odds ratio = 0.98, p = 0.009), and higher hippocampal volume (β = 0.027, p = 0.009). Cholesteryl esters in S‐HDL (S‐HDL‐CE) were associated with lower risk of VD (HR [95% CI] = 0.81 [0.71–0.93], p = 0.002), but not AD. Taken together, circulating levels of L‐LDL‐CE% and L‐LDL‐C% were robustly associated with risk of AD and AD phenotypes, but not with VD. S‐HDL‐CE was associated with lower risk of VD, but not with AD or AD phenotypes. These metabolites may play a role in the advancement of future intervention trials. Additional research is necessary to gain a complete comprehension of the molecular mechanisms behind these associations.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cellular and Molecular Neuroscience,Biochemistry

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