Evidence map›Paper›PMID 37991670›Full record

ArticleBiological trace element research2024

Association Between Multiple Metal(loid)s Exposure and Blood Lipid Levels: Evidence from a Cross-Sectional Study of Southeastern China.

Guihua Du, Xiaoguang Song, Fankun Zhou, Lu Ouyang, Qi Li, Shiying Ruan, Rui Su, Shaoqi Rao, Yanhui Zhu, Jie Xie and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Biological trace element research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. An Exploration of Machine Learning Methods in Human Biomonitoring.International journal of environmental research and public health · 2026
    Review
  2. Article
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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

12 authors at 3 institutions in 1 country.

Guihua DuDepartment of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China.
Xiaoguang SongDepartment of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China.
Fankun ZhouDepartment of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China.
Lu OuyangDepartment of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China.
Qi LiDepartment of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China.
Shiying RuanDepartment of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China.
Rui SuDepartment of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China.
Shaoqi RaoDepartment of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China.
Yanhui ZhuDepartment of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China.
Jie XieDepartment of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China.
Chang FengDepartment of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China.
Guangqin FanDepartment of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China. fanguangqin@ncu.edu.cn.
Nanchang University · CNFirst Affiliated Hospital of Nanchang University · CNNanchang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to essential and toxic metals occurs simultaneously as a mixture in real-life. However, there is no consensus regarding the effects of co-exposure to multiple metal(loid)s (designated hereafter metals) on blood lipid levels. Thus, blood concentrations of six human essential metals and five toxic metals in 720 general populations from southeastern China were simultaneously determined as a measure of exposure. In addition, quantile g-computation, Bayesian kernel machine regression, elastic net regression, and generalized linear model were used to investigate both the joint and individual effects of exposure to this metal mixture on human blood lipid levels. The significant positive joint effect of exposure to this metal mixture on serum total cholesterol (TC) levels, rather than on serum triglycerides, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, Castelli risk index I, Castelli risk index II, atherogenic coefficient, and non-HDL-C levels, was found. In addition, the positive effect may be primarily driven by selenium (Se), lead (Pb), and mercury (Hg) exposure. In addition, on the effect of TC levels, the synergistic effect between Pb and Hg and the antagonistic effect between Se and Pb were identified. Our finding suggests that combined exposure to this metal mixture may affect human blood lipid levels. Therefore, reducing exposure to heavy metals, such as Pb and Hg, should be a priority for the general population. In addition, Se supplementation should also be considered with caution.

Indexed as

LipidsAdultChinaCross-Sectional StudiesEnvironmental ExposureFemaleHumansLeadMaleMercuryMetals, HeavyMiddle AgedSeleniumYoung AdultLeadLipidsMercuryMetals, HeavySeleniumBlood lipidEssential metalsMixture exposureToxic metals

Identifiers

PMID37991670
OpenAlexW4388904245

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.