Evidence map›Paper›PMID 20162289›Full record

ArticleLung2010

Levels of dihydrotestosterone, testosterone, androstenedione, and estradiol in canalicular, saccular, and alveolar mouse lungs.

Eric Boucher, Pierre R Provost, Audrey Devillers, Yves Tremblay

Abstract read
PubMed Publisher
In one paragraph

Article in Lung, 2010. 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
1.1field-weighted citation impact, top 21% 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, 16 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

4 authors at 1 institution in 1 country.

Eric BoucherReproduction Axis, Perinatal and Child Health, CHUQ Research Center, 2705 Laurier Boulevard, Rm T-1-49, Quebec City, QC, Canada.
Pierre R Provost
Audrey Devillers
Yves Tremblay
Université Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Androgens and estrogens are known regulators of fetal and postnatal lung development, but their levels in the developing lung have never been determined. We present here, for the first time, a gas chromatography-mass spectrometry (GC/MS) quantification of dihydrotestosterone, testosterone, androstenedione, and estradiol in canalicular, saccular, and alveolar stage lungs of both sexes. Testosterone, androstenedione, and estradiol were observed in all the analyzed lung samples from gestation day (GD) 16.5 to postnatal day (PN) 30, totalizing 383 individual mice. Levels of these three steroids decreased between birth and PN 5. In contrast, dihydrotestosterone was detected only in male samples on GD 19.5, PN 0, and PN 30. A significant sex difference was observed for testosterone and androstenedione but not for estradiol. Steroid levels were also determined in skinned hind legs for comparison. Three-way analysis of variance revealed that tissue (lung or leg) had a significant effect on testosterone levels for both sexes, but not on androstenedione and estradiol levels. Low but significant testosterone and androstenedione levels were observed in all the females and in prepubertal male samples. These levels must be sufficient to induce androgen receptor activation, as suggested by our recent report showing the presence of androgen receptor in the nucleus of several lung cells in corresponding developmental ages and sexes.

Indexed as

AndrostenedioneAnimalsDihydrotestosteroneEstradiolFemaleHindlimbLungMaleMiceMice, Inbred BALB CPregnancyReceptors, AndrogenSex FactorsTestosteroneAndrostenedioneDihydrotestosteroneEstradiolReceptors, AndrogenTestosterone

Identifiers

PMID20162289
OpenAlexW2089022441

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.