Evidence map›Paper›PMID 25984562›Full record

ArticleAIMS molecular science

Theory of partial agonist activity of steroid hormones.

Carson C Chow, Karen M Ong, Benjamin Kagan, S Stoney Simons

Open access · greenAbstract read
In one paragraph

Article in AIMS molecular science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

4 authors at 2 institutions in 1 country.

Carson C ChowMathematical Biology Section, NIDDK/LBM, National Institutes of Health, Bethesda, MD 20892-5621, USA.
Karen M OngMathematical Biology Section, NIDDK/LBM, National Institutes of Health, Bethesda, MD 20892-5621, USA ; Computational Biology Program, New York University School of Medicine, New York, NY 10016, USA.
Benjamin KaganSteroid Hormones Section, NIDDK/LERB, National Institutes of Health, Bethesda, MD 20892-1772, USA ; Science Department, Tuscarora High School, Loudoun County Public Schools, Leesburg, VA 20176, USA.
S Stoney SimonsSteroid Hormones Section, NIDDK/LERB, National Institutes of Health, Bethesda, MD 20892-1772, USA.
National Institute of Diabetes and Digestive and Kidney Diseases · USNational Institutes of Health · US

Funding

Modeling gene transcriptionZIADK075069 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI CHOW, CARSON · 2012 to 2025
$2.9M
Modulation of parameters of glucocorticoid receptor-mediated gene inductionZIADK057800 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI SIMONS, S STONEY · 2009 to 2015
$2.6M
Intramural NIH HHS ZIA DK075069
6 · The paper itself

Abstract

The different amounts of residual partial agonist activity (PAA) of antisteroids under assorted conditions have long been useful in clinical applications but remain largely unexplained. Not only does a given antagonist often afford unequal induction for multiple genes in the same cell but also the activity of the same antisteroid with the same gene changes with variations in concentration of numerous cofactors. Using glucocorticoid receptors as a model system, we have recently succeeded in constructing from first principles a theory that accurately describes how cofactors can modulate the ability of agonist steroids to regulate both gene induction and gene repression. We now extend this framework to the actions of antisteroids in gene induction. The theory shows why changes in PAA cannot be explained simply by differences in ligand affinity for receptor and requires action at a second step or site in the overall sequence of reactions. The theory also provides a method for locating the position of this second site, relative to a concentration limited step (CLS), which is a previously identified step in glucocorticoid-regulated transactivation that always occurs at the same position in the overall sequence of events of gene induction. Finally, the theory predicts that classes of antagonist ligands may be grouped on the basis of their maximal PAA with excess added cofactor and that the members of each class differ by how they act at the same step in the overall gene induction process. Thus, this theory now makes it possible to predict how different cofactors modulate antisteroid PAA, which should be invaluable in developing more selective antagonists.

Indexed as

antagonistantiestrogenantisteroidgene expressiongene transcriptionglucocorticoid receptorligandnuclear receptorraloxifenesteroid receptortamoxifen

Identifiers

PMID25984562
PMCPMC4430866
OpenAlexW2103729598

What OpenQuestion holds

Textmetadata
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.