Evidence map›Paper›PMID 28949811›Full record

ArticleFetal and pediatric pathology2017

Characterization of Maternal and Fetal CYP3A-Mediated Progesterone Metabolism.

Sara K Quinney, Tara Benjamin, Xiaomei Zheng, Avinash S Patil

Open access · greenAbstract read
In one paragraph

Article in Fetal and pediatric pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

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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 1 institution in 1 country.

Sara K Quinneya Department of Obstetrics and Gynecology , Indiana University , Indaianpolis , IN , USA.ORCID http://orcid.org/0000-0002-6554-0695
Tara Benjaminb Center for Personalized Obstetric Medicine at Valley Perinatal Services , Pheonix , AZ , USA.
Xiaomei Zhenga Department of Obstetrics and Gynecology , Indiana University , Indaianpolis , IN , USA.
Avinash S Patilb Center for Personalized Obstetric Medicine at Valley Perinatal Services , Pheonix , AZ , USA.
Indiana University · US

Funding

Individualization of nifedipine dosing for preterm laborK23HD071134 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI QUINNEY, SARA K · 2012 to 2016
$629k
NICHD NIH HHS K23 HD071134
6 · The paper itself

Abstract

introductionProgesterone is critical for maintaining pregnancy and onset of labor. We evaluated CYP450-mediated progesterone meta-bolism, specifically the contribution of CYP3A isoforms. MATERIALS AND

methodsIn vitro progesterone metabolism was characterized in human liver microsomes (HLMs) with and without selective cytochrome P450 inhibitors and in recombinant CYP3A4, CYP3A5, and CYP3A7. 6β-hydroxyprogesterone (6β-OHP) and 16α-hydroxyprogesterone (16α-OHP) metabolites were quantified by HPLC/UV and fit to the Michaelis-Menten equation to determine K

resultsKetoconazole inhibited formation of both 6β-OHP and 16α-OHP more than 95%. 6β-OHP and 16α-OHP were both produced by CYP3A4 (2.3 and 1.3 µL/min/pmol, respectively) to a greater extent than by CYP3A5 (0.09 and 0.003 µL/min/pmol) and CYP3A7 (0.004 and 0.003 µL/min/pmol).

conclusionsMaternal clearance of progesterone by hepatic CYP450's is driven primarily by CYP3A4, with limited contributions from CYP3A5 and CYP3A7.

Indexed as

Cytochrome P-450 CYP3AFemaleFetusHumansMicrosomes, LiverPregnancyProgesteroneCYP3A protein, humanCytochrome P-450 CYP3AProgesterone16α-hydroxyprogesterone (PubChem CID: 243761)6β-hydroxyprogesterone (PubChem CID: 200149)Chemical compounds studied in this article are Progesterone (PubChem CID: 5994)cytochrome P450fetalmetabolismpharmacokineticsProgesterone

Identifiers

PMID28949811
PMCPMC5704987
OpenAlexW2757142523

What OpenQuestion holds

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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.