Evidence map›Paper›PMID 42157915›Full record

ReviewCurrent genomics2025

Decoding the Methylome: Insights into the Epigenetic Regulation of Polycystic Ovarian Syndrome through Mitochondrial DNA Methylation.

Aparna Eledath Kolasseri, Ramasamy Tamizhselvi, Sivaraman Jayanthi

Abstract readReview
In one paragraph

Review in Current genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Aparna Eledath KolasseriSchool of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.
Ramasamy TamizhselviSchool of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.
Sivaraman JayanthiSchool of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic Ovarian Syndrome (PCOS) imposes significant societal health and economic challenges. The precise determinants behind the global prevalence of PCOS are still poorly understood. However, epigenetic modifications in PCOS, such as DNA methylation, have been recognized as a method by which the environment interacts with the genome. Evidence suggests that changes in mitochondrial (mt)DNA methylation may have a role in the heightened occurrence of PCOS. This article provides a comprehensive overview of nuclear DNA methylation, mitochondrial DNA methylation, and their significance in regulating gene expression. Pre-existing scholarly works shed insight into the complex interaction of DNA methylation and other epigenetic modifications associated with PCOS. In addition, this review gathers a detailed explanation of several methodologies employed to assess alterations in DNA methylation at specific sites and across the nuclear and mitochondrial genomes. Integrating mtDNA methylation alterations may be a promising diagnostic strategy for PCOS, potentially paving the way for novel therapeutic interventions.

Indexed as

artificial intelligencebisulfite sequencingepigeneticsmachine learningmitochondrial DNA methylationPCOS

Identifiers

PMID42157915
PMCPMC13154246

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.