Evidence map›Paper›PMID 39940713›Full record

ArticleInternational journal of molecular sciences2025

Yong Wang, Feng Tian, Sicong Yue, Jiuyue Li, Ao Li, Yang Liu, Jianyong Liang, Yuan Gao, Shuyuan Xue

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Epigenetics in B-CLL.International journal of genomics · 2026
    Review
  6. Review
  7. 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

9 authors.

Yong WangInner Mongolia Academy of Agriculture and Animal Husbandry Sciences, Hohhot 010030, China.ORCID 0000-0002-5263-1002
Feng TianInner Mongolia Academy of Agriculture and Animal Husbandry Sciences, Hohhot 010030, China.
Sicong YueCollege of Animal Science and Technology, Hebei Agricultural University, Baoding 071000, China.
Jiuyue LiInner Mongolia Academy of Agriculture and Animal Husbandry Sciences, Hohhot 010030, China.
Ao LiCollege of Animal Science and Technology, Hebei Agricultural University, Baoding 071000, China.
Yang LiuInner Mongolia Academy of Agriculture and Animal Husbandry Sciences, Hohhot 010030, China.
Jianyong LiangInner Mongolia Academy of Agriculture and Animal Husbandry Sciences, Hohhot 010030, China.
Yuan GaoInner Mongolia Academy of Agriculture and Animal Husbandry Sciences, Hohhot 010030, China.
Shuyuan XueInner Mongolia Academy of Agriculture and Animal Husbandry Sciences, Hohhot 010030, China.ORCID 0009-0001-3614-6103

Funding

Inner Mongolia agriculture and animal husbandry Innovation Fund 2024CXJJM02National Natural Science Foundation of China 32260843
6 · The paper itself

Abstract

The glucose metabolism homeostasis in the follicular fluid microenvironment plays an important role in follicular maturation and ovulation, and excessively high or low glucose concentrations have adverse effects on the differentiation of follicular granulosa cells (GCs). However, a limited number of microRNAs (miRNA) have been reported to be involved in glucose-stimulated GCs differentiation. In this study, we characterized the miRNA expression profiles of sheep ovarian GCs cultured in high-glucose and optimal glucose concentrations and focused on a differentially expressed miRNA:

Indexed as

alpha KaryopherinsApoptosisGlucoseGranulosa CellsMicroRNAsAnimalsCell ProliferationCells, CulturedFemaleGene Expression RegulationSheepUp-Regulationalpha KaryopherinsGlucoseMicroRNAsapoptosisgranulosa cellhigh glucoseKPNA2miR-17-5p

Identifiers

PMID39940713
PMCPMC11817598

What OpenQuestion holds

Textmetadata
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.