Department of Pharmacy, Jiangxi Provincial People's Hospital & The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
First School of Clinical Medicine, Beijing University of Chinese Medicine, Beijing, China.
J Psychosom Res. 2024 Dec;187:111940. doi: 10.1016/j.jpsychores.2024.111940. Epub 2024 Sep 19.
This study utilized the Mendelian randomization (MR) method to elucidate the causal relationship between genetically predicted overweight and various degrees of obesity with depressive symptoms and subjective well-being (SWB).
Pooled genome-wide association studies (GWAS) data for overweight (BMI ≥ 25 kg/m), class 1 obesity (BMI ≥ 30 kg/m), and class 2 obesity (BMI ≥ 35 kg/m) were used as exposures. Summary GWAS data for depressive symptoms and SWB were used as outcomes. Multiple MR methods, primarily inverse-variance weighted (IVW), were applied, and sensitivity analyses were conducted to assess heterogeneity and pleiotropy.
The MR analysis provided evidence that genetically predicted overweight(IVW β = 0.033; 95 %CI 0.008-0.057; P = 0.010) and class 1 obesity(IVW β = -0.033; 95 %CI -0.047 - -0.020; P < 0.001) were causally associated with increased depressive symptoms. Genetically predicted class 2 obesity(IVW β = 1.428; 95 %CI 1.193-1.710; P < 0.001) were associated with reduced SWB. There was no strong evidence of a causal association between genetically predicted overweight and class 1 obesity with SWB. Similarly, genetically predicted class 2 and class 3 obesity did not show strong evidence of a causal association with depressive symptoms. Sensitivity analysis revealed relationships of a similar magnitude.
This genetically informed MR study suggests that Overweight and class 1 obesity may causally increased depressive symptoms but not decrease SWB. In contrast, class 2 obesity may causally decrease SWB but not increase depressive symptoms.
本研究利用孟德尔随机化(MR)方法阐明遗传预测超重与不同程度肥胖与抑郁症状和主观幸福感(SWB)之间的因果关系。
将超重(BMI≥25kg/m)、1 类肥胖(BMI≥30kg/m)和 2 类肥胖(BMI≥35kg/m)的全基因组关联研究(GWAS)汇总数据用作暴露。将抑郁症状和 SWB 的汇总 GWAS 数据用作结局。应用了多种 MR 方法,主要是逆方差加权(IVW),并进行敏感性分析以评估异质性和多效性。
MR 分析表明,遗传预测超重(IVW β=0.033;95%CI 0.008-0.057;P=0.010)和 1 类肥胖(IVW β=-0.033;95%CI -0.047 - -0.020;P<0.001)与抑郁症状增加存在因果关系。遗传预测的 2 类肥胖(IVW β=1.428;95%CI 1.193-1.710;P<0.001)与 SWB 降低相关。遗传预测的超重和 1 类肥胖与 SWB 之间没有明显的因果关系。同样,遗传预测的 2 类和 3 类肥胖与抑郁症状之间也没有明显的因果关系。敏感性分析显示出相似程度的关系。
这项基于遗传的 MR 研究表明,超重和 1 类肥胖可能会导致抑郁症状增加,但不会降低 SWB。相反,2 类肥胖可能会导致 SWB 降低,但不会增加抑郁症状。