Evidence map›Paper›PMID 36973528›Full record

ArticleJournal of exposure science & environmental epidemiology2023

Multiple exposures to heavy metals and changes in steroid hormones production in 4-year-old children.

Li Li Shi, Jin Guo Hang, Jianlin Lou, Jing Jian Dong, Hao Feng, Zheng Wang, Bin Shen, Shoji F Nakayama, Teruhiko Kido, Chaochen Ma and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

12 authors at 7 institutions in 3 countries.

Li Li ShiSchool of Medicine, and Huzhou Key Laboratory for Precise Prevention and Control of Major Chronic Diseases, Huzhou University, Huzhou, China.
Jin Guo HangTaizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.
Jianlin LouSchool of Medicine, and Huzhou Key Laboratory for Precise Prevention and Control of Major Chronic Diseases, Huzhou University, Huzhou, China.
Jing Jian DongSchool of Medicine, Jiaxing University, Jiaxing, China.
Hao FengSchool of Medicine, Jiaxing University, Jiaxing, China.
Zheng WangSchool of Medicine, Jiaxing University, Jiaxing, China.
Bin ShenSchool of Medicine, Jiaxing University, Jiaxing, China.
Shoji F NakayamaJapan Environment and Children's Study Programme Office, National Institute for Environmental Studies, Tsukuba, Japan.
Teruhiko KidoFaculty of Health Sciences, Institute of Medical, Pharmaceutical, and Health Sciences, Kanazawa University, Kanazawa, Japan.
Chaochen MaCancer Control Center, Osaka International Cancer Institute, Osaka, Japan.
Xian Liang SunSchool of Medicine, and Huzhou Key Laboratory for Precise Prevention and Control of Major Chronic Diseases, Huzhou University, Huzhou, China. 03194@zjhu.edu.cn.
Chau-Ren JungJapan Environment and Children's Study Programme Office, National Institute for Environmental Studies, Tsukuba, Japan. crjung@mail.cmu.edu.tw.
Jiaxing University · CNHuzhou University · CNKanazawa University · JPChina Medical University · TWNational Institute for Environmental Studies · JPOsaka International Cancer Institute · JPWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrenatal exposure to multiple heavy metals can interfere with early neurodevelopment, lead to changes in sex hormone concentrations in children, and affect female reproductive health. To date, the influence of prenatal exposure to heavy metals on the endocrine system of children in Chinese electronic waste (e-waste) recycling areas has not been elucidated.

methodsFour weeks after delivery, 10 mL of human milk was collected for analysis of three heavy metals (lead (Pb), cadmium (Cd), and mercury (Hg)) via inductively coupled plasma mass spectrometry (ICP-MS). Four serum steroid hormones, including progesterone, testosterone, androstenedione (A-dione), and dehydroepiandrosterone (DHEA), were analyzed in 4-year-old children (25 boys and 17 girls). A multiple linear regression (MLR) model was implemented to investigate the association between each individual metal and serum steroid hormone. The exposure-response relationships were explored by generalized additive models (GAMs). Additionally, a Bayesian kernel machine regression (BKMR) model was used to assess the effects of multiple heavy metal exposures on each steroid hormone.

resultsThe MLR results show a significant positive association between a natural log unit increase in Hg and DHEA levels after adjusting for confounders (β = 65.50, 95% confidence interval (CI) = 4.37, 126.62). According to the GAM, the univariate exposure-response relationship of Hg on DHEA was almost linear. However, this association was attenuated based on the multiple metal MLR and BKMR results after accounting for multiple heavy metal exposures. SIGNIFICANCE: Prenatal Hg exposure may affect sex hormones in children by affecting DHEA levels. IMPACT STATEMENT: Prenatal maternal exposure to Hg may have long-term effects on the next generation. Hence, regulatory measures to reduce Hg exposure and long-term monitoring of children's health in e-waste areas are needed.

Indexed as

MercuryMetals, HeavyPrenatal Exposure Delayed EffectsBayes TheoremCadmiumChild, PreschoolDehydroepiandrosteroneFemaleGonadal Steroid HormonesHumansMalePregnancySteroidsCadmiumDehydroepiandrosteroneGonadal Steroid HormonesMercuryMetals, HeavySteroidsBayesian kernel machine regressionDHEAE-wasteMercuryMultiple heavy metalsPrenatal exposure

Identifiers

PMID36973528
OpenAlexW4361000844

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.