Evidence map›Paper›PMID 39893184›Full record

ArticleScientific reports2025

Copper and iron as unique trace elements linked to fibromyalgia risk.

Wenxing Zeng, Minhua Hu, Luyao Ma, Feng Huang, Ziwei Jiang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wenxing ZengThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Minhua HuZhongshan Hospital of Traditional ChineseMedicine Affiliated to Guangzhou University of Traditional ChineseMedicine, Zhongshan, China.
Luyao MaThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Feng HuangThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Ziwei JiangThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China. 20221120569@stu.gzucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

CopperFibromyalgiaIronTrace ElementsAdultFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideRisk FactorsCopperIronTrace ElementsCausalityCopperFibromyalgiaIronMendelian randomizationMultivariate analysisTrace elements

Identifiers

PMID39893184
PMCPMC11787290

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.