Evidence map›Paper›PMID 35603775›Full record

ArticleBioengineered2022

Long non-coding RNA HLA-F antisense RNA 1 inhibits the maturation of microRNA-613 in polycystic ovary syndrome to promote ovarian granulosa cell proliferation and inhibit cell apoptosis.

Xiaohua Li, Laifang Zhu, Yan Luo

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Bioengineered, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 11% 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, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Xiaohua LiDepartment of Gynaecology, Shanghai Dahua Hospital, Shanghai, PR. China.
Laifang ZhuDepartment of Gynaecology, Shanghai Dahua Hospital, Shanghai, PR. China.
Yan LuoDepartment of Gynaecology, Shanghai Dahua Hospital, Shanghai, PR. China.
Dahua Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNA-613 (miR-613) inhibits granulosa cell proliferation, suggesting its involvement in polycystic ovary syndrome (PCOS). We predicted that long non-coding RNA (lncRNA) HLA-F antisense RNA 1 (HLA-F-AS1) could interact with premature miR-613. We then explored the crosstalk between HLA-F-AS1 and miR-613 in PCOS. In this study, follicular fluid donated by 58 healthy controls and 58 PCOS patients was used to analyze the expression of HLA-F-AS1 and miR-613 (mature and premature). The direct interaction between HLA-F-AS1 and premature miR-613 was evaluated by RNA pull-down assay. Overexpression of both HLA-F-AS1 and miR-613 was achieved in granulosa cells to assess their interactions. Cell proliferation and apoptosis were detected with BrdU assay and cell apoptosis assay, respectively. We found that miR-613 was highly expressed in PCOS, while HLA-F-AS1 was downregulated in PCOS. HLA-F-AS1 directly interacted with premature miR-613, and overexpression of HLA-F-AS1 increased the expression levels of premature miR-613, but decreased the expression levels of mature miR-613. HLA-F-AS1 increased ovarian granulosa cell proliferation and inhibited cell apoptosis. MiR-613 played an opposite role and suppressed the role of HLA-F-AS1. Therefore, HLA-F-AS1 may inhibit the maturation of miR-613 in PCOS to promote ovarian granulosa cell proliferation and inhibit cell apoptosis.

Indexed as

MicroRNAsPolycystic Ovary SyndromeRNA, Long NoncodingApoptosisCell ProliferationFemaleGranulosa CellsHistocompatibility Antigens Class IHumansHistocompatibility Antigens Class IHLA-F antigensMicroRNAsMIRN613 microRNA, humanRNA, Long NoncodingapoptosisHLA-F-AS1miR-613Polycystic ovary syndromeproliferation

Identifiers

PMID35603775
PMCPMC9275988
OpenAlexW4281255718

What OpenQuestion holds

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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.