Feng Mingyu, Xu Wen, Zhao Tonghai, Ding Yifan, Zhang Jia, Ma Yang, Wang Jianyu, Xu Ping, Fan Shijie, Guo Yuming, Lu Peng
School of Public Health, Binzhou Medical University, No. 346 Guanhai Road, Laishan District, Yantai, Shandong, China.
Department of Traditional Rehabilitation, School of Special Education and Rehabilitation, Binzhou Medical University, Yantai, China.
Sci Rep. 2025 Jul 20;15(1):26312. doi: 10.1038/s41598-025-09017-8.
Mercury exposure may increase the risk of depression. This study examined associations between blood mercury, depressive symptoms (PHQ-9), and metabolomic pathways in Chinese young adults. Fasting venous blood samples and questionnaire data (N = 477) were collected from the Chinese undergraduate cohort study in 2019 and 2021. Patient Health Questionnaire-9 was used to estimate depressive symptoms. Blood mercury and serum metabolomic were measured using inductively coupled plasma mass spectrometry (ICP-MS) and liquid chromatography-mass spectrometry (LC-MS). The association between whole-blood mercury concentrations and depressive symptoms were assessed by linear mixed-effects models. Linear mixed-effects models and ANOVAs were used to examine metabolomic changes associated with blood mercury based on baseline blood samples (N = 468). We found that for every 2-fold increase in blood mercury levels, the depression scale score increased by 0.50 [95% confidence interval (CI): 0.14, 0.86]. This effect was stronger in male, increasing their depression scores by 0.87 (95% CI: 0.12-1.61), while no significant association was observed in females. Individuals consuming fish ≥ once a month show negative correlation. Metabolomic analysis identified 44 altered metabolites, with 7 of these were enriched in 4 pathways (P < 0.05). These pathways are amino acid metabolism. Mercury exposure may affect depressive symptoms through neurotransmitter, energy and inflammation-related pathways.
接触汞可能会增加患抑郁症的风险。本研究调查了中国年轻成年人血液中的汞、抑郁症状(PHQ-9)和代谢组学途径之间的关联。2019年和2021年从中国大学生队列研究中收集了空腹静脉血样和问卷数据(N = 477)。使用患者健康问卷-9来评估抑郁症状。采用电感耦合等离子体质谱法(ICP-MS)和液相色谱-质谱法(LC-MS)测量血液中的汞和血清代谢组学。通过线性混合效应模型评估全血汞浓度与抑郁症状之间的关联。基于基线血样(N = 468),使用线性混合效应模型和方差分析来检查与血液汞相关的代谢组学变化。我们发现,血液汞水平每增加2倍,抑郁量表评分就会增加0.50 [95%置信区间(CI):0.14,0.86]。这种效应在男性中更强,他们的抑郁评分增加了0.87(95% CI:0.12 - 1.61),而在女性中未观察到显著关联。每月食用鱼类≥一次的个体呈负相关。代谢组学分析确定了44种改变的代谢物,其中7种在4条途径中富集(P < 0.05)。这些途径是氨基酸代谢。汞暴露可能通过神经递质、能量和炎症相关途径影响抑郁症状。