Evidence map›Paper›PMID 35119665›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

The Use of ERE-Luc Reporter Mice to Monitor Estrogen Receptor Transcriptional Activity in a Spatio-Temporal Dimension.

Sara Della Torre, Elisabetta Vegeto, Paolo Ciana

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

3 authors at 1 institution in 1 country.

Sara Della TorreDepartment of Pharmaceutical Sciences, University of Milan, Milan, Italy. sara.dellatorre@unimi.it.
Elisabetta VegetoDepartment of Pharmaceutical Sciences, University of Milan, Milan, Italy.
Paolo CianaDepartment of Health Sciences, University of Milan, Milan, Italy.
University of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In spite of the fact that women spend 1/3 of their lives in postmenopause, the search for appropriate therapies able to counteract the derangements associated with the menopause still represents a sort of sought after the "Holy Grail."Nowadays, the combination of estrogens and selective estrogen receptor modulators (SERMs), a class of compounds with a mixed agonist/antagonistic activity on the estrogen receptor (ER) in various tissues, represents the most promising approach to improve postmenopausal women's health, by preserving the benefits while avoiding the side effects of estrogen-based therapy.Given their complex mechanisms of action, the evaluation of SERM activity in combination with conjugated estrogens (CE) requires a multifactorial analysis that takes into account the multifaceted and dynamic effects of these compounds in target tissues, even in relation to the physiological/pathological status.To accomplish such a goal, we took advantage of the ERE-Luc model, a reporter mouse that allows the monitoring of ER transcriptional activity in a spatio-temporal dimension. Cluster analyses performed on in vivo/ex vivo bioluminescence (BLI) data and ex vivo luciferase activity enabled to sustain the combination of CE plus bazedoxifene (TSEC, tissue-selective estrogen complex) as a valuable option for the pharmacological treatment of the postmenopause.

Indexed as

Estrogens, Conjugated (USP)Receptors, EstrogenAnimalsEstrogensFemaleHumansMenopauseMiceSelective Estrogen Receptor ModulatorsEstrogensEstrogens, Conjugated (USP)Receptors, EstrogenSelective Estrogen Receptor ModulatorsClustering analysisEstrogen receptorsHormone replacement therapiesImaging in vivoLuciferaseMenopauseReporter miceSelective estrogen receptor modulators (SERMs)

Identifiers

PMID35119665
OpenAlexW4210425348

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.