Evidence map›Paper›PMID 40676447›Full record

ReviewGeroScience2026

Circular RNAs as regulators and biomarkers of mammalian ovarian ageing.

Arkadiusz Grzeczka, Sharif Iqbal, Kejun Ying, Pawel Kordowitzki

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Multi-contrast optical coherence tomography forBiomedical optics express · 2026
    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

4 authors.

Arkadiusz GrzeczkaDepartment of Preclinical and Basic Sciences, Faculty of Biological and Veterinary Sciences, Nicolaus Copernicus University, 87-100, Torun, Poland.
Sharif IqbalDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Kejun YingDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Pawel KordowitzkiDepartment of Preclinical and Basic Sciences, Faculty of Biological and Veterinary Sciences, Nicolaus Copernicus University, 87-100, Torun, Poland. paul.kordowitzki@charite.de.ORCID http://orcid.org/0000-0002-3344-5060

Funding

Uniwersytet Mikolaja Kopernika w Toruniu IDUB Mobility 2022
6 · The paper itself

Abstract

Ageing is a prevalent characteristic of all cells, tissues, and organs; certain ones, such as the ovaries, undergo significant ageing and do so early in the lifespan of mammals. Despite the widely recognized hormonal regulation occurring in the ovaries, numerous mechanisms influencing ovarian ageing remain unclear. Recently, a long-overlooked consequence of splicing, small RNA molecules, characterized by their circular structure, have gained attention. Circular RNAs (circRNAs) have been identified as products of gene transcription and are categorized among other non-coding molecules. The focus of researchers on circRNAs has been prompted by their remarkable capacity to influence the function of proteins, other RNAs, and genes. As further discoveries emerged, it became evident that these molecules were highly specific to particular tissues, with some being unique to significant physiological processes. The identification of their potential has enriched researchers' understanding regarding ovarian development and ageing, as several crucial connections to genes and ageing pathways have been revealed in current studies. This review article elucidates the significance of circRNA concerning the developmental competency and ageing of the ovary and suggests its potential as a biomarker for mammalian ovarian ageing.

Indexed as

AgingOvaryRNARNA, CircularAnimalsBiomarkersFemaleHumansBiomarkersRNARNA, CircularAgeingBiomarkerCircRNAOocyteOvarian ageingOvarian developmentOvaryPremature ovarian ageing

Identifiers

PMID40676447
PMCPMC13356190

What Socratic 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 Socratic graph.