School of Mathematical and Information Science, Shaoxing University, Shaoxing, 312000, China.
School of Medicine, Shaoxing University, Shaoxing, China.
Sci Rep. 2024 Nov 19;14(1):28623. doi: 10.1038/s41598-024-80330-4.
This study explored the link between diet and major depressive disorder (MDD) to provide fresh insights for MDD prevention. Single nucleotide polymorphisms (SNPs) associated with common foods, such as meat, bread, cheese, fruits, cereals, vegetables, and four alcohol intake categories, were leveraged as instrumental variables. Accordingly, this study employed the inverse variance weighting (IVW) method to evaluate the genetically predicted associations of different food phenotypes with MDD risk. The sensitivity analysis involved MR‒Egger regression and Mendelian random polymorphism residuals, along with outlier tests, to assess instrumental variable pleiotropy. Additional analysis methods, such as MR‒Egger, the weighted median method, and the weighted model, were used to validate the robustness and reliability of the findings. The results of the univariable Mendelian randomization(UVMR) analysis using IVW indicated that genetically predicted consumption of cheese [OR = 0.841, 95% CI: 0.737-0.959, P = 0.0099], dried fruit [OR = 0.7922, 95% CI: 0.644-0.973, P = 0.0264], beer [OR = 1.284, 95% CI: 1.026-1.608, P = 0.0291], and spirits [OR = 3.837, 95% CI: 1.993-7.387, P = 0.0001] were significantly associated with the risk of developing major depressive disorder. Specifically, cheese and dried fruit intake exhibited a inverse correlation with MDD risk, whereas beer and spirits intake showed a positive correlation, with spirits showing a stronger positive correlation. Fourteen other foods, including meat, vegetables, fruits, red wine, and white wine, displayed no significant association with the occurrence of major depression through either type of alcohol intake. In the multivariable Mendelian randomization(MVMR) analysis, considering potential confounding factors such as insomnia, smoking, and the use of contraceptive pills, cheese was identified to have an independent causal relationship with MDD (OR: 0.754, 95% CI: 0.591-0.962, p = 0.0229). No independent causal relationships were identified between dried fruit, beer, or spirits and MDD. The reverse Mendelian randomization (rMR) analysis indicated that MDD did not have a significant effect on the intake of cheese, dried fruit, beer, or spirits, supporting the presence of a unidirectional causal relationship. Finally, the study examined the relationships between dietary characteristics, per capita alcohol intake, and depression incidence among residents of Shanghai, Peking, and Guangdong Provinces of Asian ethnicity in China. These findings align with the conclusions drawn from Mendelian randomization analysis, suggesting that maintaining a diverse diet, sensibly consuming cheese and dried fruit, and reducing beer and spirit intake may prevent MDD.
这项研究探讨了饮食与重度抑郁症(MDD)之间的关联,为 MDD 的预防提供了新的见解。研究利用与常见食物(如肉类、面包、奶酪、水果、谷物、蔬菜和四类酒精摄入量)相关的单核苷酸多态性(SNP)作为工具变量。因此,本研究采用逆方差加权(IVW)方法评估不同食物表型与 MDD 风险的遗传预测关联。敏感性分析涉及 MR-Egger 回归和孟德尔随机多态性残差,以及异常值检验,以评估工具变量的多效性。还使用了其他分析方法,如 MR-Egger、加权中位数法和加权模型,以验证结果的稳健性和可靠性。使用 IVW 的单变量 Mendelian 随机化(UVMR)分析的结果表明,遗传预测的奶酪消费[OR=0.841,95%CI:0.737-0.959,P=0.0099]、干果[OR=0.7922,95%CI:0.644-0.973,P=0.0264]、啤酒[OR=1.284,95%CI:1.026-1.608,P=0.0291]和烈酒[OR=3.837,95%CI:1.993-7.387,P=0.0001]与发生重度抑郁症的风险显著相关。具体来说,奶酪和干果的摄入与 MDD 风险呈负相关,而啤酒和烈酒的摄入与 MDD 风险呈正相关,其中烈酒的正相关性更强。其他 14 种食物,包括肉、蔬菜、水果、红酒和白酒,通过任何一种类型的酒精摄入与重度抑郁症的发生均无显著关联。在多变量 Mendelian 随机化(MVMR)分析中,考虑到失眠、吸烟和使用避孕药等潜在混杂因素,发现奶酪与 MDD 之间存在独立的因果关系(OR:0.754,95%CI:0.591-0.962,p=0.0229)。未发现干果、啤酒或烈酒与 MDD 之间存在独立的因果关系。反向 Mendelian 随机化(rMR)分析表明,MDD 对奶酪、干果、啤酒或烈酒的摄入没有显著影响,支持存在单向因果关系。最后,研究还考察了中国上海、北京和广东三省亚洲居民的饮食特点、人均酒精摄入量与抑郁发生率之间的关系。这些发现与 Mendelian 随机分析的结论一致,表明保持饮食多样化、合理摄入奶酪和干果、减少啤酒和烈酒的摄入可能有助于预防 MDD。