Evidence map›Paper›PMID 40525011›Full record

ReviewCureus2025

The Role of DNA Methylation in Insulin Resistance and Metabolic Dysregulation in Polycystic Ovary Syndrome Patients: A Systematic Review.

Lily Tehrani, Michelle Tashjian, Chetana Movva, Yaacov Fakiro, Joshua Frank, Lubov Nathanson

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. The Effects ofFood science & nutrition · 2025
    Article
  4. 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.

Lily TehraniMedicine, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA.
Michelle TashjianMedicine, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA.
Chetana MovvaMedicine, Nova Southeastern University Halmos College of Arts and Sciences, Davie, USA.
Yaacov FakiroMedicine, Touro University Nevada College of Osteopathic Medicine, Henderson, USA.
Joshua FrankInstitute of Neuro-Immune Medicine, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA.
Lubov NathansonInstitute of Neuro-Immune Medicine, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is a multifactorial endocrine disorder characterized by hyperandrogenism, ovulatory dysfunction, and metabolic disturbances, with insulin resistance (IR) playing a critical role in its pathogenesis. Emerging evidence suggests that epigenetic mechanisms, such as DNA methylation, may influence insulin signaling and metabolic pathways in PCOS by altering gene expression without changing the DNA sequence. This systematic review aims to evaluate the impact of DNA methylation on IR and metabolic dysfunction among PCOS patients by analyzing key genes involved in these processes. A comprehensive literature search was conducted using the databases Ovid, EMBASE, and Web of Science to analyze studies published between 2010 and 2025. Studies that evaluated DNA methylation and its association with IR and metabolic parameters in PCOS patients were included. Eligibility criteria followed the PRISMA guidelines. A total of 10 studies met the inclusion criteria. Hypermethylation of insulin receptor (

Indexed as

androgendna methylationepigeneticsgranulosa cellsinsulin resistancemirnapcostranscriptome

Identifiers

PMID40525011
PMCPMC12169061

What OpenQuestion holds

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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.