Evidence map›Paper›PMID 40372682›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Application of DNA Methylome Analysis to Patients with ME/CFS.

Katie Peppercorn, Christina D Edgar, Suzan Al Momani, Euan J Rodger, Warren P Tate, Aniruddha Chatterjee

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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. 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

6 authors.

Katie PeppercornDepartment of Biochemistry, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0009-0007-6072-5926
Christina D EdgarDepartment of Biochemistry, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand.
Suzan Al MomaniDepartment of Biochemistry, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand.
Euan J RodgerDepartment of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Warren P TateDepartment of Biochemistry, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand.
Aniruddha ChatterjeeDepartment of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand. aniruddha.chatterjee@otago.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myalgic encephalomyelitis/chronic fatigue syndrome is a post-viral/stressor syndrome that has a complex pathophysiology reflecting multiple changes in many cell transcripts and proteins. These changes imply a change in the regulation of gene expression at the level of the DNA. A significant contributor to this is the modulation of the methylation at specific sites within regulatory regions throughout the genome that can either enhance or dampen expression depending on whether methylation is reduced or increased, respectively. DNA methylation can be analyzed by array technology or by reduced representation bisulfite sequencing (RRBS) or whole genome bisulfite sequencing (WGBS). This chapter describes RRBS, which has been very effective at analyzing the methylation states of ME/CFS patients both in single time point studies and in longitudinal studies with individual patients, for example, following a relapse recovery cycle. Here, we describe the step-by-step experimental methodology of how RRBS has been applied to DNA samples from ME/CFS patients and the analytical platforms used to detect the methylation changes that are statistically significant between patients and health controls. It has the potential to provide molecular biomarkers for a diagnostic test or to follow the progression of the condition in patients or through relapse/recovery fluctuations that occur frequently through the ongoing course of the disease. When effective therapies become available it has the potential to monitor the effectiveness on individual patients under treatment.

Indexed as

DNA MethylationEpigenomeFatigue Syndrome, ChronicCpG IslandsEpigenesis, GeneticHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNASulfitesSulfitesDNA methylomeGene expressionME/CFSReduced representation bisulfite sequencingRegulatory DNA regions

Identifiers

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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.