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Progesterone Metabolites Produced by Cytochrome P450 3A Modulate Uterine Contractility in a Murine Model

Overview of attention for article published in Reproductive Sciences, December 2015
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Article details
Title
Progesterone Metabolites Produced by Cytochrome P450 3A Modulate Uterine Contractility in a Murine Model
Published in
Reproductive Sciences, December 2015
DOI 10.1177/1933719115589414
Pubmed ID
Authors
Abstract

We seek to characterize the effect of progesterone metabolites on spontaneous and oxytocin-induced uterine contractility. Spontaneous contractility was studied in mouse uterine horns after treatment with progesterone, 2α-hydroxyprogesterone, 6β-hydroxyprogesterone (6β-OHP), 16α-hydroxyprogesterone (16α-OHP), or 17-hydroxyprogesterone caproate (17-OHPC) at 10(-9) to 10(-6) mol/L. Uterine horns were exposed to progestins (10(-6) mol/L), followed by increasing concentrations of oxytocin (1-100 nmol/L) to study oxytocin-induced contractility. Contraction parameters were compared for each progestin and matched vehicle control using repeated measures 2-way analysis of variance. In vitro metabolism of progesterone by recombinant cytochrome P450 3A (CYP3A) microsomes (3A5, 3A5, and 3A7) identified major metabolites. Oxytocin-induced contractile frequency was decreased by 16α-OHP (P = .03) and increased by 6β-OHP (P = .05). Progesterone and 17-OHPC decreased oxytocin-induced contractile force (P = .02 and P = .04, respectively) and frequency (P = .02 and P = .03, respectively). Only progesterone decreased spontaneous contractile force (P = .02). Production of 16α-OHP and 6β-OHP metabolites were confirmed in all CYP3A isoforms tested. Progesterone metabolites produced by maternal or fetal CYP3A enzymes influence uterine contractility.

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X Demographics

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 3 17%
Researcher 3 17%
Other 2 11%
Lecturer > Senior Lecturer 1 6%
Lecturer 1 6%
Other 2 11%
Unknown 6 33%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 8 44%
Biochemistry, Genetics and Molecular Biology 1 6%
Immunology and Microbiology 1 6%
Psychology 1 6%
Chemistry 1 6%
Other 0 0%
Unknown 6 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 June 2015.
All research outputs
#20,276,249
of 22,808,725 outputs
Outputs from Reproductive Sciences
#868
of 1,214 outputs
Outputs of similar age
#330,118
of 393,089 outputs
Outputs of similar age from Reproductive Sciences
#62
of 87 outputs
Altmetric has tracked 22,808,725 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,214 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.