Interpretation of treating different diseases with the same method: a bidirectional Mendelian randomization study of the association between depression and insomnia

Objective: Mendelian randomization (MR) has been widely utilized for causal inference between diseases, and its implementation within the domain of traditional Chinese medicine (TCM) is considered feasible. Although previous clinical and epidemiological studies have demonstrated a close relationship between insomnia and depression, the inherent genetic factors underlying these associations are unclear. The aim of this study was to evaluate the causal relationship between depression and insomnia via bidirectional 2-sample MR and increase the understanding of the TCM theory of treating different diseases with the same method, particularly in the context of comorbid depression and insomnia. Methods: Genetic data related to depression and insomnia were extracted from published genome-wide association studies (GWAS) data sets. Single-nucleotide polymorphisms (SNPs) associated with depression and insomnia were used as instrumental variables to construct an “SNP-exposure-outcome” model. Bidirectional 2-sample MR analysis was conducted via inverse-variance weighted (IVW), weighted median, MR Egger regression, simple mode, and weighted mode methods. Furthermore, heterogeneity tests, pleiotropy analyses, and sensitivity analyses were performed. Results: The MR results revealed a causal relationship between depression and an increased risk of developing insomnia (IVW, OR=1.400, 95% CI: 1.246–1.573, P <0.001), and a causal relationship between insomnia and an increased risk of developing depression (IVW, OR=1.204, 95% CI: 1.144–1.266, P <0.001). Conclusions: There is a bidirectional causal relationship between depression and insomnia. These findings provide new theoretical support for the TCM approach of treating different diseases with the same method in the prevention and treatment of depression and insomnia and provide a scientific basis for the modernization of TCM.

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Publication Details

Journal
Guidelines and Standards of Chinese Medicine
Published
2024-10-11
DOI
https://doi.org/10.1097/gscm.0000000000000038
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.55
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article

Interpretation of treating different diseases with the same method: a bidirectional Mendelian randomization study of the association between depression and insomnia

Hong Liu, Dunjin Fan, Jinghua Pan, J. E. Tong et al.
1 citations
Guidelines and Standards of Chinese Medicine
Genetic Associations and Epidemiology
0.55
article

Interpretation of treating different diseases with the same method: a bidirectional Mendelian randomization study of the association between depression and insomnia

Hong Liu, Dunjin Fan, Jinghua Pan, J. E. Tong, Yuyao Wang, Yuanyuan Li, Hongyan Zhao
article en
1 citations

Abstract

Objective: Mendelian randomization (MR) has been widely utilized for causal inference between diseases, and its implementation within the domain of traditional Chinese medicine (TCM) is considered feasible. Although previous clinical and epidemiological studies have demonstrated a close relationship between insomnia and depression, the inherent genetic factors underlying these associations are unclear. The aim of this study was to evaluate the causal relationship between depression and insomnia via bidirectional 2-sample MR and increase the understanding of the TCM theory of treating different diseases with the same method, particularly in the context of comorbid depression and insomnia. Methods: Genetic data related to depression and insomnia were extracted from published genome-wide association studies (GWAS) data sets. Single-nucleotide polymorphisms (SNPs) associated with depression and insomnia were used as instrumental variables to construct an “SNP-exposure-outcome” model. Bidirectional 2-sample MR analysis was conducted via inverse-variance weighted (IVW), weighted median, MR Egger regression, simple mode, and weighted mode methods. Furthermore, heterogeneity tests, pleiotropy analyses, and sensitivity analyses were performed. Results: The MR results revealed a causal relationship between depression and an increased risk of developing insomnia (IVW, OR=1.400, 95% CI: 1.246–1.573, P <0.001), and a causal relationship between insomnia and an increased risk of developing depression (IVW, OR=1.204, 95% CI: 1.144–1.266, P <0.001). Conclusions: There is a bidirectional causal relationship between depression and insomnia. These findings provide new theoretical support for the TCM approach of treating different diseases with the same method in the prevention and treatment of depression and insomnia and provide a scientific basis for the modernization of TCM.

Guidelines and Standards of Chinese MedicineVol. 2(4)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Nia Association (US), October 6 University (EG)
Openalex Percentile: Top 24%
Genetic Associations and Epidemiology
0.55
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