Evidence map›Paper›PMID 39368047›Full record

ArticleBiological trace element research2025

Obesity Mediates the Association Between Serum Copper and Inflammation: A Cross-sectional and Mendelian Randomization Study.

Jianfeng Zhao, Xueer Cao, Qingqi Li, Junhao Xie, Hongrong Wu

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Article in Biological trace element research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

4 citing papers in PubMed.

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4 · The record

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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.

Jianfeng ZhaoDepartment of Physiology, Hengyang Medical School, University of South China, Hengyang, People's Republic of China. zhaojianfeng@usc.edu.cn.
Xueer CaoInstitute of Neuroscience, Hengyang Medical School, University of South China, Hengyang, People's Republic of China.
Qingqi LiInstitute of Neuroscience, Hengyang Medical School, University of South China, Hengyang, People's Republic of China.
Junhao XieDepartment of Physiology, Hengyang Medical School, University of South China, Hengyang, People's Republic of China.
Hongrong WuInstitute of Pathogenic Biology, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, People's Republic of China. wuhongrong@usc.edu.cn.

Funding

doctoral start-up funds of university of south China (190XQD018
6 · The paper itself

Abstract

Copper is an important biological trace element, but its overexposure can be harmful to the human body. Herein, we aimed to assess the association between serum copper levels and inflammation. A total of 5231 participants were analyzed from the National Health and Nutrition Examination Survey (NHANES) between 2011 and 2016. Participants with higher serum copper levels had higher values of systemic inflammation indexes. The concentration of high-sensitive C-reactive protein (hs-CRP) increased with serum copper concentration (β = 2.8, p < 0.001). Participants with high and very high copper levels had higher ORs (odds ratios) of having inflammation (high: OR 2.92 (0.77-11.04), p = 0.074; very high: OR 8.66 (3.18-23.54), p = 0.011), which were further exacerbated in people with diabetes and males. Body mass index (BMI) and body fat percentage are two main mediators in the association between serum copper and hs-CRP, accounting for 12.62% and 19.72%, respectively. The random-effects inverse variance-weighted (IVW) analysis revealed that there was a genetic causal relationship between serum copper and obesity (OR 1.15, p = 0.014). Our results suggest that serum copper is positively associated with inflammation, which may be mainly mediated by obesity.

Indexed as

CopperInflammationMendelian Randomization AnalysisObesityAdultBody Mass IndexC-Reactive ProteinCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysCopperC-Reactive ProteinDiabetesHs-CRPInflammationNHANESSerum copper

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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.