Copper and Melanoma Risk: Results from NHANES 2007-2018 and Mendelian Randomization Analyses.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
ACS Applied Electronic Materials Pub Date : 2024-11-01 Epub Date: 2024-02-20 DOI:10.1007/s12011-024-04072-0
Jia Wang, Juan Wang, Jinming Yu, Dawei Chen
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引用次数: 0

Abstract

Copper is an essential trace element obtained from food. There is a paucity of observational or prospective studies that have investigated the relationship between copper and melanoma risk. Copper serves as a cofactor for pivotal enzymes involved in mitochondrial respiration, antioxidant defense, and neurotransmitter synthesis. Undoubtedly, copper plays an indispensable role in the initiation and progression of tumors, particularly melanoma; however, further investigations are warranted to elucidate the underlying mechanisms linking copper and melanoma risk. Given the availability of dietary copper and serum copper data in the NHANES database, we conducted an investigation into the association between dietary copper intake and serum copper levels with melanoma risk. We enrolled 26,401 individuals with dietary copper data in the 2007-2018 NHANES database. To mitigate confounding variables, a propensity score matching (PSM) was performed. To assess the association between dietary copper intake and melanoma risk, we employed a multivariate logistic regression analysis before and after PSM. The restricted cubic spline analysis was utilized to determine whether there is a non-linear relationship between dietary copper intake and melanoma risk, with subgroup analysis conducted to determine beneficiaries. Then, those with blood copper data from the enrolled population with dietary copper intake were screened out, and subsequently, multivariate logistic regression models were subsequently constructed to investigate the association between serum copper levels and melanoma risk after PSM. Mendelian analysis was further utilized to validate the results of the NHANES database using serum copper as the exposure factor and melanoma as the outcome variable. The study found that melanoma risk was associated with dietary copper intake before and after PSM, demonstrated by multiple logistic regression. The relationship between dietary copper intake and melanoma risk was non-linear, with a reduced risk observed above approximately 2.5 mg/day, as shown by the RCS. The evidence suggests that an increased intake of copper is linked to a decreased risk of melanoma. To clarify the mechanism behind the increased risk of melanoma due to higher dietary copper intake, we analyzed the population data from the NHANES database on serum copper and dietary copper intake. Our results indicated that there is no causal relationship between serum copper and melanoma risk. Mendelian randomization analysis of multi-database data sources confirmed the conclusion of the NHANES database analysis. Dietary copper is a protective factor against melanoma, and serum copper or blood copper is not associated with melanoma risk. This suggests that serum or blood copper is not responsible for the protective effect of dietary copper intake on melanoma risk, and the mechanisms need to be further investigated.

铜与黑色素瘤风险:2007-2018 年 NHANES 和孟德尔随机分析的结果。
铜是从食物中获取的一种必需微量元素。很少有观察性或前瞻性研究调查铜与黑色素瘤风险之间的关系。铜是参与线粒体呼吸、抗氧化防御和神经递质合成的关键酶的辅助因子。毫无疑问,铜在肿瘤(尤其是黑色素瘤)的发生和发展过程中起着不可或缺的作用;然而,要阐明铜与黑色素瘤风险之间的内在联系,还需要进一步的研究。鉴于 NHANES 数据库中存在膳食铜和血清铜数据,我们对膳食铜摄入量和血清铜水平与黑色素瘤风险之间的关系进行了调查。我们在 2007-2018 年的 NHANES 数据库中登记了 26,401 名有膳食铜数据的人。为了减少混杂变量,我们进行了倾向得分匹配(PSM)。为了评估膳食铜摄入量与黑色素瘤风险之间的关系,我们在倾向得分匹配前后采用了多变量逻辑回归分析。利用限制性立方样条分析确定膳食铜摄入量与黑色素瘤风险之间是否存在非线性关系,并进行亚组分析以确定受益人。然后,从有膳食铜摄入量的入组人群中筛选出有血铜数据的人,随后构建多变量逻辑回归模型,研究 PSM 后血清铜水平与黑色素瘤风险之间的关系。以血清铜为暴露因子,黑色素瘤为结果变量,进一步利用孟德尔分析法验证了 NHANES 数据库的结果。研究发现,黑色素瘤风险与 PSM 前后的膳食铜摄入量有关,这一点已通过多重逻辑回归得到证实。膳食铜摄入量与黑色素瘤风险之间的关系是非线性的,如 RCS 所示,超过约 2.5 毫克/天,风险就会降低。证据表明,铜摄入量的增加与黑色素瘤风险的降低有关。为了弄清膳食铜摄入量增加导致黑色素瘤风险增加的机制,我们分析了 NHANES 数据库中有关血清铜和膳食铜摄入量的人群数据。结果表明,血清铜与黑色素瘤风险之间不存在因果关系。对多数据库数据源进行的孟德尔随机分析证实了 NHANES 数据库分析的结论。膳食铜是黑色素瘤的保护因素,而血清铜或血液铜与黑色素瘤风险无关。这表明血清铜或血液铜不是膳食铜摄入量对黑色素瘤风险产生保护作用的原因,其机制有待进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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