Evidence map›Paper›PMID 18060571›Full record

ArticleEnvironmental monitoring and assessment2008

Hepatic and extrahepatic expression of estrogen-responsive genes in male adult zebrafish (Danio rerio) as biomarkers of short-term exposure to 17beta-estradiol.

Yuanxiang Jin, Wanyuan Wang, G Daniel Sheng, Weiping Liu, Zhengwei Fu

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Review
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 1 institution in 1 country.

Yuanxiang JinCollege of Biological and Environmental Engineering, Zhejiang University of Technology, Hangzhou, 310032, People's Republic of China.
Wanyuan Wang
G Daniel Sheng
Weiping Liu
Zhengwei Fu
Zhejiang University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing concern over reproductive hormones in the environment demands sensitive and efficient methods by use of molecular biomarkers to detect these contaminants in oviparous vertebrates. In this study, a real-time quantitative RT-PCR was adopted to investigate the expressions of three estrogen-responsive genes, Vtg I, Vtg II and ERalpha, in hepatic and extrahepatic tissues of male adult zebrafish exposed to varying concentrations of 17beta-estradiol (E2) for selected periods. Without exposure to E2, all the genes were expressed in the tissues of male controls with their levels being much lower than those in the respective tissues of female controls. The expressions of hepatic Vtg I and II mRNAs were induced significantly after 1-day exposure to E2 at as low as 0.25 microg L(-1). Significant induction in the expression of hepatic ERalpha mRNA required a higher E2 concentration (> or = 0.5 microg L(-1)) and a longer exposure (> or = 2 days), suggesting that Vtg I and Vtg II are more sensitive to E2 exposure. The induction of Vtg mRNA in the skin of zebrafish was also significant following a short exposure (1 day) to low E2 concentration (0.25 microg L(-1)), with the levels of Vtg I and Vtg II mRNA being increased by 25 and 5 times, respectively. These results suggest that Vtg I mRNA is a highly sensitive biomarker for determining the estrogenic effects of E2 and that the skin of zebrafish may be an appropriate substitute for liver for such a determination.

Indexed as

Gene ExpressionAnimalsBiomarkersEnvironmental ExposureEstradiolEstrogensKidneyMaleZebrafishBiomarkersEstradiolEstrogens

Identifiers

PMID18060571
OpenAlexW2046380308

What OpenQuestion holds

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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.