Evidence map›Paper›PMID 29945228›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2018

Mixed "Antiandrogenic" Chemicals at Low Individual Doses Produce Reproductive Tract Malformations in the Male Rat.

Justin M Conley, Christy S Lambright, Nicola Evans, Mary Cardon, Johnathan Furr, Vickie S Wilson, Leon Earl Gray

Open access · bronzeAbstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Justin M ConleyNational Health and Environmental Effects Research Laboratory, Toxicity Assessment Division, U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27711.
Christy S LambrightNational Health and Environmental Effects Research Laboratory, Toxicity Assessment Division, U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27711.
Nicola EvansNational Health and Environmental Effects Research Laboratory, Toxicity Assessment Division, U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27711.
Mary CardonNational Health and Environmental Effects Research Laboratory, Toxicity Assessment Division, U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27711.
Johnathan FurrNational Health and Environmental Effects Research Laboratory, Toxicity Assessment Division, U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27711.
Vickie S WilsonNational Health and Environmental Effects Research Laboratory, Toxicity Assessment Division, U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27711.
Leon Earl GrayNational Health and Environmental Effects Research Laboratory, Toxicity Assessment Division, U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27711.
Environmental Protection Agency · USSouthern Research Institute · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Biomonitoring efforts have clearly shown that all humans are exposed to chemical mixtures. Of concern is whether or not exposure to mixtures during pregnancy contributes to congenital abnormalities in children even when each chemical is at an individual dose that does not affect the fetus. Here, we hypothesized that in utero exposure to a mixture of chemicals covering multiple "antiandrogenic" mechanisms of action at doses that individually have no adverse effect would result in permanent reproductive tract alterations in the male rat after birth. Pregnant dams were exposed to a range of dilutions (100%, 50%, 25%, 12.5%, 6.25%, or vehicle control) of a mixture containing pesticides, phthalates, and drugs (p, p'-DDE, linuron, prochloraz, procymidone, pyrifluquinazon, vinclozolin, finasteride, flutamide, simvastatin, and 9 phthalates [dipentyl, dicyclohexyl, di-2-ethylhexyl, dibutyl, benzyl butyl, diisobutyl, diisoheptyl, dihexyl, and diheptyl]). The top dose contained each chemical at 20% of its lowest observed adverse effect level (LOAEL) for the most sensitive male reproductive alteration following in utero exposure. We found that male rat offspring displayed a variety of neonatal, pubertal, and permanent adult effects across all dose levels. Even at the lowest dose (each chemical approximately 80-fold below lowest observed adverse effect level) there were permanent reductions in several reproductive tract tissue weights. In the top dose group, 100% of male offspring displayed permanent severe birth defects including genital malformations. Despite acting via 5 different molecular initiating events, a mixture of 18 chemicals can combine to produce additive effects even when each compound is at is at a relatively low dose.

Indexed as

Androgen AntagonistsAnimalsDose-Response Relationship, DrugEnvironmental PollutantsFemaleGene Expression Regulation, DevelopmentalGenitalia, MaleMalePregnancyPrenatal Exposure Delayed EffectsRats, Sprague-DawleyTestisTestosteroneAndrogen AntagonistsEnvironmental PollutantsTestosterone

Identifiers

PMID29945228
PMCPMC6677127
OpenAlexW2810710529

What OpenQuestion 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 OpenQuestion graph.