Evidence map›Paper›PMID 40704080›Full record

ArticleEnvironment & health (Washington, D.C.)2025

Serial Cross-Sectional Human Biomonitoring Analysis of Pesticide Exposure Patterns and Their Association with Lipid Metabolism Biomarkers: The Mediating Role of Liver Function.

Xiangyu Jia, Qin Li, Fenfang Deng, Jia He, Jinhua Zhou, Lili Sun, Jun Yuan, Lei Tan

Abstract read
In one paragraph

Article in Environment & health (Washington, D.C.), 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

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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Xiangyu JiaInstitute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Qin LiInstitute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Fenfang DengInstitute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Jia HeInstitute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Jinhua ZhouInstitute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Lili SunInstitute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Jun YuanInstitute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Lei TanInstitute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.ORCID https://orcid.org/0000-0001-6433-020X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous low-level exposure to pesticides is inevitable in daily life. Previous studies have demonstrated the adverse effects of pesticide exposure on lipid metabolism. However, population studies have focused primarily on individual pesticides and have short-term fluctuations, and the animal experiments used doses far higher than those exposed by the general population. In this study, urinary concentrations of metabolites of three classes of pesticides, including organophosphate, pyrethroid, and phenoxy carboxylic acid, were determined in 1858 participants of repeated cross-sectional biomonitoring programs from 2018 to 2022. We comprehensively analyzed the association of pesticide metabolites and pesticide exposure patterns with lipid metabolism biomarkers. The indirect effects of liver function markers in these associations were explored by using the structural equation model analysis. Generalized linear models showed that 3,5,6-trichloro-2-pyridinol and para-nitrophenol were positively correlated with high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglyceride. In contrast, 3-phenoxybenzoic acid was negatively correlated with apolipoprotein B. Quantile g-computation and Bayesian Kernel Machine Regression showed a consistent gradual increase in high-density lipoprotein cholesterol and low-density lipoprotein cholesterol levels but a gradual decrease in apolipoprotein B levels with increasing exposure to pesticide mixtures. By analyzing the exposure patterns of different categories of pesticides, we found that the population has a high level of exposure to organophosphate pesticides, which disrupts lipid metabolism more significantly than other pesticides. Liver function exhibited significant mediating effects in the association between pesticide exposure and lipid metabolism biomarkers. The results indicated that pesticide exposure was significantly associated with lipid metabolism, and this association may be modulated by improvements in liver function.

Indexed as

Exposure PatternsLipid MetabolismLiver FunctionMediation EffectsPesticides

Identifiers

PMID40704080
PMCPMC12281205

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Registered trials

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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.