Relationship between major depression and cervical spondylosis: A two-sample bidirectional mendelian randomization study

This study aimed to explore the causal link between cervical spondylosis (CS) and major depression (MD) using a bidirectional Mendelian randomization (MR) analysis. Bidirectional MR was employed to validate the bidirectional causal relationship between CS and MD using pooled data obtained from the Integrated Epidemiology Unit Open Genome Wide Association Study (GWAS) database. MR Egger, weighted median, inverse-variance weighted (IVW), and simple mode methods were used, with priority given to IVW results. Sensitivity analyses, including heterogeneity tests, horizontal pleiotropy tests, and leave-one-out methods, were performed to confirm the stability of the MR results. In a forward MR analysis, a causal effect was found between MD and CS (IVW: OR > 1, p < 0.05). However, a reverse MR analysis indicated no causal relationship between CS and MD ( p > 0.05). Sensitivity analyses revealed no sample heterogeneity, no horizontal pleiotropy effect, and no significant bias, thus supporting the reliability of the MR analysis results. This study provides evidence demonstrating that MD is causally associated with CS, whereas CS is not causally linked to MD. These findings offer novel insights into the pathogenesis of these two prevalent diseases.

Authors

Institutions

Publication Details

Journal
Journal of Neurorestoratology
Published
2025-03-23
DOI
https://doi.org/10.1016/j.jnrt.2025.100203
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship between major depression and cervical spondylosis: A two-sample bidirectional mendelian randomization study

Yukai Huang, Longyi Chen, G. Zhao, Dingyu Du et al.
1 links
Journal of Neurorestoratology
Genetic Associations and Epidemiology
article

Relationship between major depression and cervical spondylosis: A two-sample bidirectional mendelian randomization study

Yukai Huang, Longyi Chen, G. Zhao, Dingyu Du, Jinping Liu
article en

Abstract

This study aimed to explore the causal link between cervical spondylosis (CS) and major depression (MD) using a bidirectional Mendelian randomization (MR) analysis. Bidirectional MR was employed to validate the bidirectional causal relationship between CS and MD using pooled data obtained from the Integrated Epidemiology Unit Open Genome Wide Association Study (GWAS) database. MR Egger, weighted median, inverse-variance weighted (IVW), and simple mode methods were used, with priority given to IVW results. Sensitivity analyses, including heterogeneity tests, horizontal pleiotropy tests, and leave-one-out methods, were performed to confirm the stability of the MR results. In a forward MR analysis, a causal effect was found between MD and CS (IVW: OR > 1, p < 0.05). However, a reverse MR analysis indicated no causal relationship between CS and MD ( p > 0.05). Sensitivity analyses revealed no sample heterogeneity, no horizontal pleiotropy effect, and no significant bias, thus supporting the reliability of the MR analysis results. This study provides evidence demonstrating that MD is causally associated with CS, whereas CS is not causally linked to MD. These findings offer novel insights into the pathogenesis of these two prevalent diseases.

Journal of NeurorestoratologyVol. 13(3)
University of Electronic Science and Technology of China (CN)
Zero hunger
Openalex Percentile: Top 93%
Genetic Associations and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.