Yao Xueming, Jiang Yuhan, Yang Hongxi, Guo Ju, Wang Xiaohong, Grzybowski Andrzej, Li Mulin Jun, Yan Hua
School of Medicine, Nankai University, Tianjin, China.
Department of Ophthalmology, Tianjin Key Laboratory of Ocular Trauma, Tianjin Medical University General Hospital, Tianjin, China.
Transl Vis Sci Technol. 2025 Jul 1;14(7):5. doi: 10.1167/tvst.14.7.5.
Depression and glaucoma are globally prevalent disorders with emerging evidence suggesting a potential inter-relation. This study aims to gain an in-depth understanding of their association and shared mechanisms.
We investigated the association between depression and glaucoma using data from 348,537 Caucasian patients in the UK Biobank, including 7544 with glaucoma and 22,153 with depression. We performed Cox regression, logistic regression, mediation analyses, genetic association analysis, and Mendelian randomization.
Logistic regression indicated that depression increased the odds of glaucoma by 1.63 times (95% confidence interval [CI] = 1.51-1.77) and glaucoma increased the odds of depression by 1.61 times (95% CI = 1.49-1.74). Cox regression showed a hazard ratio of 1.35 for glaucoma incidence in individuals with depression (95% CI = 1.07-1.70). The risk of glaucoma was consistently approximately 60% higher across various genetic components of depression. We examined 1463 protein markers, identifying 200 markers associated with depression, some of which are linked to lipid metabolism. Mediation analysis suggested lipid metabolism as a mediator among these two diseases, with proteins like ANPEP, CCL3, and VWA1 playing significant roles. Genetic correlation analysis revealed a substantial genetic connection among depression, glaucoma, and lipid metabolism traits.
Significant associations between depression and glaucoma were observed, with lipid metabolism playing a crucial role in their diagnosis and treatment.
Our research underscores the inter-relation between glaucoma and depression, highlighting the importance of lipid metabolism in their clinical management.
抑郁症和青光眼是全球普遍存在的疾病,新出现的证据表明它们之间可能存在相互关系。本研究旨在深入了解它们之间的关联及共同机制。
我们使用英国生物银行中348,537名白种人患者的数据,研究抑郁症与青光眼之间的关联,其中包括7544名青光眼患者和22,153名抑郁症患者。我们进行了Cox回归、逻辑回归、中介分析、基因关联分析和孟德尔随机化。
逻辑回归表明,抑郁症使患青光眼的几率增加1.63倍(95%置信区间[CI]=1.51-1.77),青光眼使患抑郁症的几率增加1.61倍(95%CI=1.49-1.74)。Cox回归显示,抑郁症患者患青光眼的风险比为1.35(95%CI=1.07-1.70)。在抑郁症的各种基因成分中,青光眼的风险始终高出约60%。我们检查了1463种蛋白质标志物,确定了200种与抑郁症相关的标志物,其中一些与脂质代谢有关。中介分析表明脂质代谢是这两种疾病之间的中介,ANPEP、CCL3和VWA1等蛋白质发挥着重要作用。基因相关性分析揭示了抑郁症、青光眼和脂质代谢特征之间存在显著的基因联系。
观察到抑郁症与青光眼之间存在显著关联,脂质代谢在它们的诊断和治疗中起着关键作用。
我们的研究强调了青光眼与抑郁症之间的相互关系,突出了脂质代谢在其临床管理中的重要性。