Evidence map›Paper›PMID 17131043›Full record

ArticleMolecular and cellular biochemistry2007

Progesterone-dependent and -independent expression of the multidrug resistance type I gene in porcine granulosa cells.

Hiroaki Fukuda, Pei Jian He, Kazuko Yokota, Tomoki Soh, Nobuhiko Yamauchi, Masa-aki Hattori

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Article in Molecular and cellular biochemistry, 2007. 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 34% 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, 7 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

6 authors at 1 institution in 1 country.

Hiroaki FukudaDepartment of Animal and Marine Bioresource Sciences, Faculty of Agriculture, Graduate School Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka, 812-8581, Japan.
Pei Jian He
Kazuko Yokota
Tomoki Soh
Nobuhiko Yamauchi
Masa-aki Hattori
Kyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A primary role of plasma membrane P-glycoprotein (P-gp), encoded by multidrug resistance type I (MDR1), is to protect against naturally occurring xenotoxics. Progesterone (P(4)) profoundly influences MDR1 expression in granulosa cells and luteal cells. Here, P(4) regulation of MDR1 expression was investigated in porcine granulosa cells using the P(4)-mediated promoter activity assay and a P4 receptor (PR) antagonist (RU-486). The promoter activity was measured chronologically for 48 h in cells transfected with the PR response element-containing pGL3. LH could stimulate the promoter activity through endogenous P4, with a maximum activity at 5 h. MDR1 mRNA level was highly maintained at 24-36 h. Conversely, exogenous P4 prolonged the promoter activity to further 10 h, and the high level of MDR1 mRNA was maintained even at 48 h. RU-486 completely inhibited the promoter activity, but the level of MDR1 mRNA rapidly increased in the presence of RU-486. The granulosa cells may become susceptible to RU-486 as a xenotoxic to rapidly express MDR1 for protection against it. These results indicate that MDR1 is expressed in porcine granulosa cells through P4-dependent and -independent regulations.

Indexed as

AnimalsATP Binding Cassette Transporter, Subfamily B, Member 1Cells, CulturedFemaleGene Expression RegulationGranulosa CellsLuteinizing HormoneMifepristoneProgesteroneReceptors, ProgesteroneResponse ElementsRNA, MessengerSheepSwineTime FactorsATP Binding Cassette Transporter, Subfamily B, Member 1Luteinizing HormoneMifepristoneProgesteroneReceptors, ProgesteroneRNA, Messenger

Identifiers

PMID17131043
OpenAlexW2109336535

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.