Role of metabolic characteristics in the co-occurrence of insomnia, Alzheimer's disease, and Parkinson's disease: a Mendelian randomization study

Front Aging Neurosci. 2025 Jan 6:16:1436171. doi: 10.3389/fnagi.2024.1436171. eCollection 2024.

Abstract

Objective: There reportedly exists a significant comorbidity between insomnia and neurodegenerative diseases, such as Alzheimer's disease (AD) and Parkinson's disease (PD), indicative of a potential link to serum metabolic dysregulation.

Method: To elucidate shared pathophysiological mechanisms between insomnia and AD/PD, we performed comprehensive two-sample Mendelian randomization (MR) analyses, investigating 1,400 serum metabolic characteristics for their causal relationships with the risks of insomnia, AD, widely defined AD (WDAD), and PD. We employed publicly available genetic data; the primary estimate was determined using inverse-variance weighting, supplemented by weighted median, simple mode, weighted mode, and the MR-PRESSO and MR-Egger methods to evaluate heterogeneity and pleiotropy.

Results: The ratio of N-palmitoyl-sphingosine to N-palmitoyl-sphinganine is linked to higher risks of insomnia (OR = 1.137, 95% CI = 1.015-1.273, p = 0.026) and AD (OR = 1.090, 95% CI = 1.005-1.183, p = 0.037). The acetylcarnitine to propionylcarnitine ratio is a risk factor for insomnia (OR = 1.190, 95% CI = 1.003-1.370, p = 0.016) but has protective effects against AD (OR = 0.868, 95% CI = 0.784-0.961, p = 0.006) and WDAD (OR = 0.892, 95% CI = 0.817-0.973, p = 0.010). Glutamine conjugate of C7H12O2 levels are associated with reduced risk of insomnia (OR = 0.863, 95% CI = 0.749-0.995, p = 0.042) and PD (OR = 0.856, 95% CI = 0.746-0.981, p = 0.026).

Conclusion: Our findings highlight the crucial role of serum metabolic characteristics in the comorbidity of insomnia with neurodegenerative diseases, providing valuable insights into prospective therapeutic targets and diagnostic markers.

Keywords: Alzheimer’s disease; Mendelian randomization; Parkinson’s disease; insomnia; neurodegenerative diseases.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by the National Natural Science Foundation of China grant number 82274631 and 82205252, the Jiangsu Provincial Department of Science and Technology grant Number BE2021751 and BE2023793, the TCM science and technology program of Zhejiang Province grant number 2024ZL86, the General project of Health Commission of Jiangsu Province grant number Ym2023105, and the Jiangsu Basic Research Program Youth Fund Project grant number BK20210986.