Evidence map›Paper›PMID 39473816›Full record

ArticleEnvironment & health (Washington, D.C.)2024

Exposure Patterns of Multiple Pesticides and Urinary Alterations of Trimethylamine (TMA) and Trimethylamine N-Oxide (TMAO) among Pregnant Women.

Jiayun Ding, Yiming Dai, Zheng Wang, Boya Zhang, Sinan Xu, Jianqiu Guo, Xiaojuan Qi, Dasheng Lu, Xiuli Chang, Chunhua Wu and 2 more

Abstract read
In one paragraph

Article in Environment & health (Washington, D.C.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiayun DingKey Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China.
Yiming DaiKey Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China.
Zheng WangKey Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China.
Boya ZhangKey Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China.
Sinan XuKey Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China.
Jianqiu GuoKey Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China.
Xiaojuan QiKey Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China.
Dasheng LuShanghai Municipal Center for Disease Control and Prevention, No. 1380 Zhongshan West Road, Shanghai 200336, China.
Xiuli ChangKey Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China.
Chunhua WuKey Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China.
Jiming ZhangKey Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China.
Zhijun ZhouKey Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China.ORCID https://orcid.org/0000-0002-2407-2071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental exposure to pesticides is widespread and commonly occurs in mixtures, and pregnant women are particularly concerned. Trimethylamine N-oxide (TMAO), a dietary-derived catabolite linked to cardiometabolic disease, may be influenced by pesticide exposure. However, limited knowledge exists regarding the associations, and studies have primarily been restricted to single pesticides. To address this gap, we examined the associations of pesticide exposure with urinary TMA, TMAO, and TMAO-to-TMA ratio among 1067 pregnant women residing in a rural area. Latent class analysis (LCA) was applied to identify distinct patterns of pesticide exposure based on urinary metabolite concentrations. Multiple linear regression (MLR) models and Bayesian kernel machine regression (BKMR) models were employed to estimate the effects of single pesticides, exposure patterns, and combined exposure. Four distinct pesticide exposure patterns were identified. Higher concentrations of pesticide metabolites were found to be associated with increased urinary TMAO levels (β: 0.043 to 0.254,

Identifiers

PMID39473816
PMCPMC11504560

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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.