Association between serum apolipoprotein B and depression: A cross-sectional and Mendelian randomization analysis
Zufa Zhang1, Long Lv2, Sheng Guan2
1Department of Urology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, Liaoning, China; Zhongshan Clinical Collage of Dalian University, Dalian 116001, Liaoning, China.
Journal of Affective Disorders
|November 23, 2024
Summary
Serum Apolipoprotein B (ApoB) levels show a positive association with depression risk. However, genetic analysis does not support a causal link, suggesting ApoB levels may not be a target for depression management.
Area of Science:
- Biochemistry
- Genetics
- Public Health
Background:
- Depression is a widespread mental illness with significant global public health implications.
- Identifying depression risk factors and their causal pathways is crucial for effective intervention.
Purpose of the Study:
- To investigate the association between serum Apolipoprotein B (ApoB) levels and depression.
- To elucidate the potential causal relationship between serum ApoB and depression using genetic methods.
Main Methods:
- Utilized data from the National Health and Nutrition Examination Survey (NHANES) and Genome-Wide Association Studies (GWAS).
- Employed multifactorial logistic regression, subgroup analyses, and smooth curve fitting to assess associations.
- Applied Mendelian randomization (MR) analysis to evaluate the causal effect of serum ApoB on depression.
Main Results:
- A total of 6531 participants were included in the study.
- Elevated serum ApoB levels were significantly associated with an increased risk of depression (OR=1.40, P=0.0176).
- Mendelian randomization analysis revealed no significant genetic causal relationship between serum ApoB and depression (P=0.1923).
Conclusions:
- Serum ApoB is positively associated with depression risk, but a direct causal link is not supported by genetic evidence.
- Current findings do not indicate that managing high ApoB levels is beneficial for depression management.
- Limitations include potential inconsistencies between cross-sectional and MR study populations.
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