Journal of affective disorders · 2024
Depression and the risk of non-alcohol fatty liver disease: Results from a cross-sectional study and a Mendelian randomization analysis.
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Lv Duoduo, Han Ning, Yuan Man, Huang Wei, Yan Libo, Tang Hong
Аннотация
BACKGROUND: Previous studies have suggested that psychiatric factors may be pathogenic for NAFLD. However, the association between depression and NAFLD is not been consistent, and whether depression plays a causal role in the development of NAFLD remains unclear.
METHODS: We extracted data from the National Health and Nutrition Examination Survey (NHANES) 2017-2018 to assess the correlation between depression and NAFLD risk. Based on previous genome-wide association studies (GWAS) meta-analyses on NAFLD and depression, we performed a Mendelian randomization (MR) analysis to explore the causal effect of depression on NAFLD. The primary analysis method used in the MR analysis was inverse variance weighted.
RESULTS: We ultimately extracted the data from 3878 individuals in the NHANES database to perform the cross-sectional study. Multivariable-adjusted logistic regression showed that depressed individuals had a higher risk of NAFLD than controls (odds ratio [OR] 1.33, 95 % CI 1.03-1.72, p = 0.027) among women. Based on GWAS data, we included 36 genetic variants as instrumental variables to estimate the causal effect of depression on NAFLD risk. The MR analysis revealed a causal association between genetically predicted depression and an increased risk of NAFLD (OR = 1.504, 95 % CI 1.13-2.00, p = 0.005).
LIMITATIONS: The consistency of these findings in Eastern populations requires further longitudinal studies.
CONCLUSIONS: This cross-sectional study suggested that depression might increase the risk of NAFLD in women. The MR analysis demonstrated that there exists a causal association between genetically predicated depression and NAFLD risk.
METHODS: We extracted data from the National Health and Nutrition Examination Survey (NHANES) 2017-2018 to assess the correlation between depression and NAFLD risk. Based on previous genome-wide association studies (GWAS) meta-analyses on NAFLD and depression, we performed a Mendelian randomization (MR) analysis to explore the causal effect of depression on NAFLD. The primary analysis method used in the MR analysis was inverse variance weighted.
RESULTS: We ultimately extracted the data from 3878 individuals in the NHANES database to perform the cross-sectional study. Multivariable-adjusted logistic regression showed that depressed individuals had a higher risk of NAFLD than controls (odds ratio [OR] 1.33, 95 % CI 1.03-1.72, p = 0.027) among women. Based on GWAS data, we included 36 genetic variants as instrumental variables to estimate the causal effect of depression on NAFLD risk. The MR analysis revealed a causal association between genetically predicted depression and an increased risk of NAFLD (OR = 1.504, 95 % CI 1.13-2.00, p = 0.005).
LIMITATIONS: The consistency of these findings in Eastern populations requires further longitudinal studies.
CONCLUSIONS: This cross-sectional study suggested that depression might increase the risk of NAFLD in women. The MR analysis demonstrated that there exists a causal association between genetically predicated depression and NAFLD risk.