Evidence map›Paper›PMID 23936665›Full record

ArticleISRN endocrinology2013

Estrogen signaling and the aging brain: context-dependent considerations for postmenopausal hormone therapy.

Natasha N Mott, Toni R Pak

Open access · diamondAbstract read
In one paragraph

Article in ISRN endocrinology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
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  4. DifferentialInternational journal of molecular sciences · 2020
    Article
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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

2 authors at 1 institution in 1 country.

Natasha N MottDepartment of Cell and Molecular Physiology, Loyola University Chicago Stritch School of Medicine, 2160 S First Avenue, Maywood, IL 60153, USA.
Toni R Pak
Loyola University Chicago · US

Funding

Ligand-independent signaling of estrogen receptor beta and the aging brainR01AG033605 · NIA · LOYOLA UNIVERSITY CHICAGO · PI PAK, TONI R. · 2009 to 2021
$3.7M
Training in Immunology and AgingT32AG031780 · NIA · LOYOLA UNIVERSITY CHICAGO · PI WITTE, PAMELA L. · 2009 to 2010
$148k
NIA NIH HHS R01 AG033605NIA NIH HHS T32 AG031780
6 · The paper itself

Abstract

Recent clinical studies have spurred rigorous debate about the benefits of hormone therapy (HT) for postmenopausal women. Controversy first emerged based on a sharp increase in the risk of cardiovascular disease in participants of the Women's Health Initiative (WHI) studies, suggesting that decades of empirical research in animal models was not necessarily applicable to humans. However, a reexamination of the data from the WHI studies suggests that the timing of HT might be a critical factor and that advanced age and/or length of estrogen deprivation might alter the body's ability to respond to estrogens. Dichotomous estrogenic effects are mediated primarily by the actions of two high-affinity estrogen receptors alpha and beta (ER α & ER β ). The expression of the ERs can be overlapping or distinct, dependent upon brain region, sex, age, and exposure to hormone, and, during the time of menopause, there may be changes in receptor expression profiles, post-translational modifications, and protein:protein interactions that could lead to a completely different environment for E2 to exert its effects. In this review, factors affecting estrogen-signaling processes will be discussed with particular attention paid to the expression and transcriptional actions of ER β in brain regions that regulate cognition and affect.

Identifiers

PMID23936665
PMCPMC3725729
OpenAlexW2028503497

What OpenQuestion holds

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LicenceCC BY
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.