Interaction between depression and non-essential heavy metals (Cd, Pb, and Hg) on metabolic diseases

IF 3.6 3区医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Trace Elements in Medicine and Biology Pub Date : 2024-06-14 DOI:10.1016/j.jtemb.2024.127484

Yanfang Wang, Tong Xu, Yuan Zhang, Yue He, Jiaxin Fang, Yan Xu, Lina Jin

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Abstract

Objectives

Metal exposure and depression have each been associated with adverse metabolic diseases, but no study has examined the potential interaction between them. We examined the interaction of depression on the association between metals and metabolic diseases among adults.

Study design

The interaction of depression in the relationship between metal and metabolic disease in adults was investigated using NHANES, a cross-sectional survey design.

Methods

By employing data from the NHANES database spanning the years 2007–2018, regression models were employed to investigate the independent impacts of heavy metals (cadmium, lead, and mercury) and depression on metabolic diseases (type 2 diabetes, hypertension, hyperlipidemia, metabolic syndrome). Subsequently, the association between metals and metabolic diseases was explored stratified by depression, and the interaction between heavy metals and depression was explored. Because of the complex NHANES design, statistical evaluations were adjusted through weighting to represent the populace of the United States.

Results

We found log transformed-urinary lead was significantly associated with type 2 diabetes (OR: 2.33; 95 % CI: 1.23, 4.41) in adults with depression. Log transformed-urinary lead was not associated with type 2 diabetes (OR: 0.84; 95 % CI: 0.56, 1.27) in adults without depression. The interaction between Pb and depression in type 2 diabetes was significant (P for interaction = 0.033). Log transformed-urinary lead * depression was significantly associated with type 2 diabetes (OR: 1.82; 95 % CI: 1.01, 3.34) in adults. There was no significant interaction between cadmium and mercury exposure and depression in patients with type 2 diabetes, hypertension, hyperlipidemia, and metabolic syndrome (P for interaction > 0.05).

Conclusions

The presence of depression positively modified the adverse associations between urinary lead and type 2 diabetes.

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抑郁症与非必需重金属（镉、铅和汞）对代谢性疾病的相互作用

目标金属暴露和抑郁症都与不良代谢性疾病有关，但还没有研究探讨过它们之间可能存在的相互作用。我们研究了抑郁症对成人金属与代谢性疾病之间关系的交互作用。研究设计采用横断面调查设计的 NHANES 调查了抑郁症对成人金属与代谢性疾病之间关系的交互作用。方法通过使用 NHANES 数据库中 2007-2018 年的数据，采用回归模型研究重金属（镉、铅和汞）和抑郁症对代谢性疾病（2 型糖尿病、高血压、高脂血症、代谢综合征）的独立影响。随后，根据抑郁程度对金属与代谢性疾病之间的关系进行了分层，并探讨了重金属与抑郁之间的相互作用。由于 NHANES 的设计比较复杂，因此通过加权对统计评估进行了调整，以代表美国的人口情况。结果我们发现，在患有抑郁症的成年人中，对数转换后的尿铅与 2 型糖尿病显著相关（OR：2.33；95 % CI：1.23，4.41）。在无抑郁症的成年人中，对数转换后的尿铅与 2 型糖尿病无关（OR：0.84；95 % CI：0.56，1.27）。在 2 型糖尿病患者中，铅与抑郁之间的交互作用显著（交互作用 P = 0.033）。对数转换后的成人尿铅 * 抑郁症与 2 型糖尿病显著相关（OR：1.82；95 % CI：1.01，3.34）。在患有 2 型糖尿病、高血压、高脂血症和代谢综合征的患者中，镉和汞暴露与抑郁症之间没有明显的交互作用（交互作用的 P > 0.05）。

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来源期刊

Journal of Trace Elements in Medicine and Biology 医学-内分泌学与代谢

CiteScore

6.60

自引率

2.90%

发文量

202

审稿时长

85 days

期刊介绍： The journal provides the reader with a thorough description of theoretical and applied aspects of trace elements in medicine and biology and is devoted to the advancement of scientific knowledge about trace elements and trace element species. Trace elements play essential roles in the maintenance of physiological processes. During the last decades there has been a great deal of scientific investigation about the function and binding of trace elements. The Journal of Trace Elements in Medicine and Biology focuses on the description and dissemination of scientific results concerning the role of trace elements with respect to their mode of action in health and disease and nutritional importance. Progress in the knowledge of the biological role of trace elements depends, however, on advances in trace elements chemistry. Thus the Journal of Trace Elements in Medicine and Biology will include only those papers that base their results on proven analytical methods. Also, we only publish those articles in which the quality assurance regarding the execution of experiments and achievement of results is guaranteed.