Evidence map›Paper›PMID 38594585›Full record

ReviewReproductive sciences (Thousand Oaks, Calif.)2024

Granulosa Cells-Related MicroRNAs in Ovarian Diseases: Mechanism, Facts and Perspectives.

Shengmin Xiao, Juan Du, Guanghui Yuan, Xiaohong Luo, Linjiang Song

Abstract readReview
PubMed Publisher
In one paragraph

Review in Reproductive sciences (Thousand Oaks, Calif.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 11 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

5 authors at 2 institutions in 1 country.

Shengmin Xiao *School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, People's Republic of China.
Juan Du *School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, People's Republic of China.
Guanghui YuanDepartment of Oncology, Hejiang Hospital of Traditional Chinese Medicine, Luzhou, 611137, People's Republic of China.
Xiaohong LuoSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, People's Republic of China. 635219197@qq.com.
Linjiang SongSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, People's Republic of China. linjsong_scu@163.com.ORCID 0000-0002-0512-0410
Chengdu University of Traditional Chinese Medicine · CNQujiang People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are a class of short single-stranded, noncoding RNAs that affect the translation of mRNAs by imperfectly binding to homologous 3'UTRs. Research on miRNAs in ovarian diseases is constantly expanding because miRNAs are powerful regulators of gene expression and cellular processes and are promising biomarkers. miRNA mimics, miRNA inhibitors and molecules targeting miRNAs (antimiRs) have shown promise as novel therapeutic agents in preclinical development. Granulosa cells (GCs) are supporting cells for developing oocytes in the ovary. GCs regulate female reproductive health by producing sex hormones and LH receptors. Increasing research has reported the relevance of miRNAs in GC pathophysiology. With in-depth studies of disease mechanisms, there are an increasing number of studies on the biomolecular pathways of miRNAs in gynecology and endocrinology. In the present review, we summarize the different functions of GC-related microRNAs in various ovarian disorders, such as polycystic ovary syndrome, premature ovarian insufficiency, premature ovarian failure and ovarian granulosa cell tumors.

Indexed as

Granulosa CellsMicroRNAsOvarian DiseasesAnimalsFemaleHumansOvarian NeoplasmsPolycystic Ovary SyndromeMicroRNAsGranulosa cellsMicroRNAsPolycystic ovary syndromePremature ovarian failureSignaling pathway

Identifiers

PMID38594585
OpenAlexW4394601160

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.