Guan Xiaoyan, Ni Qianyang, Zhai Ziqi, Sun Yupei, Zhang Yan
Department of Gastrointestinal Surgery, The Third Hospital Affiliated to Hebei Medical University, Shijiazhuang, China.
Medicine (Baltimore). 2024 Dec 6;103(49):e40788. doi: 10.1097/MD.0000000000040788.
There is currently insufficient research on the causal relationship between depression and constipation. This study aims to provide clear evidence for the positive and negative causal relationship between depression and constipation through bidirectional two-sample Mendelian randomization (MR) analysis. MR is a statistical method used to evaluate the credible causal relationship between exposure and outcomes. In this study, we extracted corresponding genetic data from independent cohorts of patients with depression and constipation. Depression data was obtained from the Finngen database, while constipation data was obtained from the IEU OPEN genome-wide association study database. MR analysis was conducted using 5 methods: inverse variance weighted (IVW), MR-Egger, weighted median, simple mode, and weighted mode. In addition, we also used Cochran Q test, MR-Egger intercept test, and leave-one-out analysis to test for the existence of horizontal pleiotropy and evaluate the robustness of MR analysis results. In the analysis of the impact of depression on constipation, we identified 15 significant and statistically strong single nucleotide polymorphisms, and the IVW random effects analysis showed a causal relationship (OR = 1.005 [1.003, 1.007], P = 1.26 × 10-5). When analyzing the impact of constipation on depression, 10 significant and statistically strong single nucleotide polymorphisms were identified, but IVW analysis did not find a causal relationship (OR = 73.768 [0.004, 1.306 × 10-6], P = .389). There is no heterogeneity in the impact of depression on constipation in the bidirectional analysis results, and there is heterogeneity in the impact of constipation on depression, but there is no horizontal pleiotropy. Our bidirectional two-sample MR analysis identified a causal relationship between depression and constipation. This discovery may help clinical doctors to intervene in depression patients in a timely and effective manner when treating constipation patients, avoiding further deterioration of the condition.
目前关于抑郁症与便秘之间因果关系的研究尚不充分。本研究旨在通过双向两样本孟德尔随机化(MR)分析,为抑郁症与便秘之间的正负因果关系提供明确证据。MR是一种用于评估暴露与结局之间可信因果关系的统计方法。在本研究中,我们从抑郁症患者和便秘患者的独立队列中提取了相应的基因数据。抑郁症数据来自芬兰基因数据库,而便秘数据来自IEU开放全基因组关联研究数据库。使用5种方法进行MR分析:逆方差加权(IVW)、MR-Egger、加权中位数、简单模式和加权模式。此外,我们还使用 Cochr an Q检验、MR-Egger截距检验和留一法分析来检验是否存在水平多效性,并评估MR分析结果的稳健性。在分析抑郁症对便秘的影响时,我们鉴定出15个具有统计学意义且效应较强的单核苷酸多态性,IVW随机效应分析显示存在因果关系(OR = 1.005 [1.003, 1.007],P = 1.26×10 -5)。在分析便秘对抑郁症的影响时,鉴定出10个具有统计学意义且效应较强的单核苷酸多态性,但IVW分析未发现因果关系(OR = 73.768 [0.004, 1.306×1负6],P = 0.389)。双向分析结果中抑郁症对便秘的影响不存在异质性,便秘对抑郁症的影响存在异质性,但不存在水平多效性。我们的双向两样本MR分析确定了抑郁症与便秘之间的因果关系。这一发现可能有助于临床医生在治疗便秘患者时及时有效地干预抑郁症患者,避免病情进一步恶化。