Evidence map›Paper›PMID 29163791›Full record

ArticleOncotarget2017

Abnormal CYP11A1 gene expression induces excessive autophagy, contributing to the pathogenesis of preeclampsia.

Tianying Pan, Guolin He, Meng Chen, Chenyi Bao, Yan Chen, Guangyu Liu, Mi Zhou, Shuying Li, Wenming Xu, Xinghui Liu

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

22 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Plasma cell-free extrachromosomal circular DNA is a molecular hallmark of preeclampsia.Computational and structural biotechnology journal · 2025
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Effects of testosterone on rat placental development.Journal of toxicologic pathology · 2022
    Article
  16. Article
  17. Review
  18. Autism-Like Behavior in the Offspring ofFrontiers in neuroscience · 2021
    Article
  19. Review
  20. Sexually Dimorphic Crosstalk at the Maternal-Fetal Interface.The Journal of clinical endocrinology and metabolism · 2020
    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

10 authors at 3 institutions in 1 country.

Tianying Pan *Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Guolin He *Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Meng ChenDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Chenyi BaoDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Yan ChenJoint Laboratory of Reproductive Medicine, Sichuan University-The Chinese University of Hong Kong, Chengdu 610041, China.
Guangyu LiuDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Mi ZhouDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Shuying LiDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Wenming XuJoint Laboratory of Reproductive Medicine, Sichuan University-The Chinese University of Hong Kong, Chengdu 610041, China.
Xinghui LiuJoint Laboratory of Reproductive Medicine, Sichuan University-The Chinese University of Hong Kong, Chengdu 610041, China.
Sichuan University · CNChinese University of Hong Kong · CNWest China Second University Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn this study, we investigated the exact mechanism by which excessive CYP11A1 expression impairs the placentation process and whether this causes preeclampsia (PE) in an SETTING AND

designIn order to study CYP11A1 overexpression, BeWo cells were transfected with CYP11A1. Pregnenolone, progesterone, and testosterone levels were measured by enzyme linked immunosorbent assays, and levels of autophagy markers were quantified by western blotting and immunofluorescence. Trophoblastic cell invasion was assessed using transwell assays; BeWo cells were treated with testosterone and an androgen receptor (AR) inhibitor (flutamide) to elucidate the invasion mechanism. An adenovirus overexpression rat model was established to investigate CYP11A1 overexpression

resultsBeWo cells overexpressing CYP11A1 had significantly increased levels of pregnenolone, progesterone, and testosterone. Additionally, the expression levels of autophagy markers in CYP11A1-overexpressing BeWo cells were significantly increased. Trophoblast invasion was significantly reduced in CYP11A1-overexpressing cells as well as in cells treated with high testosterone. This reduction could be significantly rescued when cells were pretreated with flutamide. Overexpression of CYP11A1 in rat pregnancies led to PE-like symptoms and an over-activation of the AR-mediated pathway in the placenta. Elevated expression of CYP11A1 and autophagy markers could also be detected in PE placenta samples.

conclusionsThese results suggest that abnormally high expression of CYP11A1 induces trophoblast autophagy and inhibits trophoblastic invasion, which is associated with the etiology of PE.

Indexed as

androgen receptorautophagyCYP11A1preeclampsiatestosterone

Identifiers

PMID29163791
PMCPMC5685712
OpenAlexW2758656899

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.