Evidence map›Paper›PMID 18404521›Full record

ArticlePurinergic signalling2005

Estradiol inhibits the effects of extracellular ATP in human sperm by a non genomic mechanism of action.

Marco Rossato, Marco Ferigo, Carlo Galeazzi, Carlo Foresta

Open access · hybridAbstract read
In one paragraph

Article in Purinergic signalling, 2005. 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
–field-weighted citation impact, top 81% 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, 13 citations in OpenAlex.

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  4. Review
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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 2 institutions in 1 country.

Marco RossatoDepartment of Medical and Surgical Sciences, Clinica Medica 3, University of Padova, Italy, marco.rossato@unipd.it.
Marco Ferigo
Carlo Galeazzi
Carlo Foresta
University of Padua · ITMedica (Italy) · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Steroid hormones, beside their classical genomic mechanism of action, exert rapid, non genomic effects in different cell types. These effects are mediated by still poorly characterized plasma membrane receptors that appear to be distinct from the classic intracellular receptors. In the present study we evaluated the non genomic effects of estradiol (17betaE(2)) in human sperm and its effects on sperm stimulation by extracellular ATP, a potent activator of sperm acrosome reaction. In human sperm 17betaE(2) induced a rapid increase of intracellular calcium (Ca(2+)) concentrations dependent on an influx of Ca(2+) from the extracellular medium. The monitoring of the plasma membrane potential variations induced by 17betaE(2) showed that this steroid induces a rapid plasma membrane hyperpolarization that was dependent on the presence of Ca(2+) in the extracellular medium since it was absent in Ca(2+) free-medium. When sperm were pre-incubated in the presence of the K(+) channel inhibitor tetra-ethylammonium, the 17betaE(2) induced plasma membrane hyperpolarization was blunted suggesting the involvement of K(+) channels in the hyperpolarizing effects of 17betaE(2). Extracellular ATP induced a rapid plasma membrane depolarization followed by acrosome reaction. Sperm pre-incubation with 17betaE(2) inhibited the effects of extracellular ATP on sperm plasma membrane potential variations and acrosome reaction. The effects of 17betaE(2) were specific since its inactive steroisomer 17alphaE(2) was inactive. Furthermore the effects of 17betaE(2) were not inhibited by tamoxifen, an antagonist of the classic 17betaE(2) intracellular receptor.

Identifiers

PMID18404521
PMCPMC2096547
OpenAlexW2087790617

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.