Evidence map›Paper›PMID 31084616›Full record

ArticleEnvironmental health and preventive medicine2019

Analysis of individual and combined estrogenic effects of bisphenol, nonylphenol and diethylstilbestrol in immature rats with mathematical models.

Weifeng Mao, Yan Song, Haixia Sui, Pei Cao, Zhaoping Liu

Open access · goldAbstract read
In one paragraph

Article in Environmental health and preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Mechanisms and histopathological impacts of acetamiprid and azoxystrobin in male rats.Environmental science and pollution research international · 2022
    Article
  4. Article
  5. 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

5 authors at 2 institutions in 1 country.

Weifeng MaoNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No 27, Nanwei Road, Xicheng District, Beijing, 100050, China.
Yan SongChina National Center for Food Safety Risk Assessment, No 37, Building 2, Guangqu Road, Chaoyang District, Beijing, 100021, China.
Haixia SuiChina National Center for Food Safety Risk Assessment, No 37, Building 2, Guangqu Road, Chaoyang District, Beijing, 100021, China.
Pei CaoChina National Center for Food Safety Risk Assessment, No 37, Building 2, Guangqu Road, Chaoyang District, Beijing, 100021, China.
Zhaoping LiuChina National Center for Food Safety Risk Assessment, No 37, Building 2, Guangqu Road, Chaoyang District, Beijing, 100021, China. liuzhaoping@cfsa.net.cn.ORCID http://orcid.org/0000-0002-4815-7125
China National Center for Food Safety Risk Assessment · CNChinese Center For Disease Control and Prevention · CN

Funding

National Natural Science Foundation of China 81273081
6 · The paper itself

Abstract

backgroundTraditional toxicological studies focus on individual compounds. However, this single-compound approach neglects the fact that the mixture exposed to human may act additively or synergistically to induce greater toxicity than the single compounds exposure due to their similarities in the mode of action and targets. Mixture effects can occur even when all mixture components are present at levels that individually do not produce observable effects. So the individual chemical effect thresholds do not necessarily protect against combination effects, an understanding of the rules governing the interactive effects in mixtures is needed. The aim of the study was to test and analyze the individual and combined estrogenic effects of a mixture of three endocrine disrupting chemicals (EDCs), bisphenol A (BPA), nonylphenol (NP) and diethylstilbestrol (DES) in immature rats with mathematical models.

methodIn the present study, the data of individual estrogenic effects of BPA, NP and DES were obtained in uterotrophic bioassay respectively, the reference points for BPA, NP and DES were derived from the dose-response ralationship by using the traditional no observed adverse effect (NOAEL) or lowest observed adverse effect level (LOAEL) methods, and the benchmark dose (BMD) method. Then LOAEL values and the benchmark dose lower confidence limit (BMDL

resultsFrom the dose-response relationship of estrogenic effects of BPA, NP and DES in the model of the prepuberty rats, the BMDL

conclusionOur results showed that CA model provide more accurate results than the factorial analysis, the mode of combined effects of the three EDCs were dose addition, except mixtures in LOAEL doses, NP and DES combined effects indicates antagonistic effects based on the CA model but additive based on the factorial analysis. In particular, BPA and NP produced combination effects that are larger than the effect of each mixture component applied separately at BMDL doses, which show that additivity is important in the assessment of chemicals with estrogenic effects. The use of BMDL as point of departure in risk assessment may lead to underestimation of risk, and a more balanced approach should be considered in risk assessment.

Indexed as

Models, TheoreticalAnimalsBenzhydryl CompoundsBisphenol A CompoundsDiethylstilbestrolDose-Response Relationship, DrugDrug InteractionsEndocrine DisruptorsEstrogensPhenolsRatsRats, Sprague-DawleyRisk AssessmentBenzhydryl Compoundsbisphenol ABisphenol A CompoundsDiethylstilbestrolEndocrine DisruptorsEstrogensnonylphenolPhenolsCombined effectsConcentration additionEndocrine disrupting chemicalsFactorial analysisMixture toxicity

Identifiers

PMID31084616
PMCPMC6515622
OpenAlexW2947354653

What OpenQuestion holds

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LicenceCC BY
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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.