Evidence map›Paper›PMID 40213195›Full record

ArticleAnnals of medicine and surgery (2012)2025

Genetic and epigenetic correlation between diabetic retinopathy and polycystic ovarian syndrome: in-silico analyses-experimental research.

Samira Mirzaei, Zahra Sheikh Soleimany Darany, Neda Arjmand, Bahar Farhadi, Lida Garrosi, Amin Najafi

Abstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Samira MirzaeiDepartment of Obstetrics and Gynecology, Alavi Women Hospital, Ardabil University of Medical Sciences, Ardabil, Iran.
Zahra Sheikh Soleimany DaranyDepartment of Basic Sciences, Faculty of Pharmacy and Pharmaceutical Sciences, Tehran Medical Sciences, Islamic Azad University, Tehran Branch, Tehran, Iran.
Neda ArjmandDepartment of Obstetrics and Gynecology, Tehran University of Medical Sciences, Tehran, Iran.
Bahar FarhadiSchool of Medicine, Islamic Azad University, Mashhad Branch, Mashhad, Iran.
Lida GarrosiDepartment of Obstetrics and Gynecology, Zanjan University of Medical Sciences, Zanjan, Iran.
Amin NajafiDepartment of Surgery, Emam Reza Hospital, Ardabil University of Medical Sciences, Ardabil, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Metabolic disorders, such as diabetes, can give rise to complications like diabetic retinopathy and polycystic ovarian syndrome, which have emerged as a primary concern among healthcare systems. This study aims to explore the genetic and epigenetic associations between diabetic retinopathy and polycystic ovarian syndrome. Methods: Gene expression data were retrieved from the Gene Expression Omnibus database. Common genes were identified using Venn diagrams, while the Enrichment Analysis Resource database pinpointed shared signaling pathways. Additionally, shared microRNAs and circular RNAs were identified using the MiRmap and Circaintractome databases to investigate potential epigenetic links between the two conditions. Results: Analysis of datasets Gene Series Accession 53 257 and 54 248 revealed eight shared genes. These genes are involved in signaling pathways related to glycine, serine, and threonine metabolism, tRNA biosynthesis, and DNA repair. Furthermore, the genes associated with miRNA (6 cases) and circular RNAs (12 cases) were identified. These molecular factors play key roles in critical biological processes such as insulin secretion, adiponectin regulation, and electron transport in the respiratory chain. Conclusion: This study highlights the genetic, epigenetic, and metabolic pathways shared between diabetic retinopathy and polycystic ovarian syndrome, demonstrating that disruptions in these pathways may exacerbate metabolic complications. Identifying common genetic and epigenetic factors provides potential avenues for the clinical management and treatment of these disorders.

Indexed as

diabetic retinopathyepigeneticsgeneticspolycystic ovarian syndromeretinopathy

Identifiers

PMID40213195
PMCPMC11981409

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.