Zeng Wenxing, Hu Minhua, Ma Luyao, Huang Feng, Jiang Ziwei
The First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Sci Rep. 2025 Feb 1;15(1):4019. doi: 10.1038/s41598-025-86447-4.
Fibromyalgia (FM) is a prevalent chronic pain condition with a complex and not fully understood etiology. Abnormal metabolism of trace elements is suspected to play a role in the pathogenesis of FM, though the exact relationships have yet to be clarified. This study employed Mendelian randomization (MR) to assess potential causal relationships between 15 major trace elements and the risk of FM, focusing on the specific roles of elements that show significant associations. Genetic instrumental variables (single nucleotide polymorphisms, SNPs), related to these trace elements and FM were extracted from genome-wide association studies (GWAS). Analyses were performed using various methods including inverse-variance weighting (IVW), MR Egger, weighted median, weighted mode, and simple mode. Furthermore, multivariable analysis controlled for selenium as a potential confounder to evaluate the independent associations of copper (Cu) and iron (Fe) with FM risk. Two-sample MR analysis indicated a positive association between Cu and increased risk of FM (IVW: OR = 1.095, 95% CI: 1.015 to 1.181, P = 0.018), and a negative association between Fe and FM risk (IVW: OR = 0.440, 95% CI: 0.233 to 0.834, P = 0.011). These associations remained significant in the multivariable analysis, highlighting the independent effects of Cu and Fe. No significant correlations were observed with other trace elements such as selenium and zinc. This study provides new evidence of the roles of Cu and Fe in the pathophysiology of FM and underscores the importance of considering trace elements in the prevention and treatment strategies for FM. Future research should further validate these findings and explore the specific biological mechanisms through which Cu and Fe influence FM risk.
纤维肌痛(FM)是一种常见的慢性疼痛病症,其病因复杂且尚未完全明确。尽管确切关系尚待阐明,但微量元素代谢异常被怀疑在FM的发病机制中起作用。本研究采用孟德尔随机化(MR)方法评估15种主要微量元素与FM风险之间的潜在因果关系,重点关注显示出显著关联的元素的具体作用。从全基因组关联研究(GWAS)中提取与这些微量元素和FM相关的遗传工具变量(单核苷酸多态性,SNP)。使用包括逆方差加权(IVW)、MR Egger、加权中位数、加权模式和简单模式等多种方法进行分析。此外,多变量分析将硒作为潜在混杂因素进行控制,以评估铜(Cu)和铁(Fe)与FM风险的独立关联。两样本MR分析表明,Cu与FM风险增加呈正相关(IVW:OR = 1.095,95% CI:1.015至1.181,P = 0.018),而Fe与FM风险呈负相关(IVW:OR = 0.440,95% CI:0.233至0.834,P = 0.011)。这些关联在多变量分析中仍然显著,突出了Cu和Fe的独立作用。未观察到与其他微量元素如硒和锌有显著相关性。本研究为Cu和Fe在FM病理生理学中的作用提供了新证据,并强调在FM的预防和治疗策略中考虑微量元素的重要性。未来的研究应进一步验证这些发现,并探索Cu和Fe影响FM风险的具体生物学机制。