Evidence map›Paper›PMID 40981068›Full record

ReviewEpigenomes2025

An Epigenomic Meta-Analysis of Differentially Methylated Sites in Pre- and Post-Metabolic/Bariatric Surgery Adult Female Patients.

Agnieszka Lovett, Graham A Hitman, Georgios K Dimitriadis, Alice M Murphy, Gyanendra Tripathi, Aparna Duggirala

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Epigenomes, 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

6 authors.

Agnieszka LovettOMICS Facility, Biomedical and Clinical Science Research Theme, School of Science, University of Derby, Derby DE22 1GB, UK.ORCID 0009-0005-1142-4575
Graham A HitmanCentre for Genomics and Child Health, Blizard Institute, Faculty of Medicine and Dentistry, Queen Mary University of London, 4 Newark St., London E1 2AT, UK.ORCID 0000-0002-6637-9004
Georgios K DimitriadisFaculty of Life Sciences and Medicine, School of Cardiovascular & Metabolic Medicine and Sciences, Obesity, Type 2 Diabetes and Immunometabolism Research Group, King's College London, London SE5 9RS, UK.ORCID 0000-0002-6662-804X
Alice M MurphyMetabolic Health Theme, Centre for Systems Health and Integrated Metabolic Research, Department of Biosciences, School of Science and Technology, Nottingham Trent University, Clifton, Nottingham NG11 8NS, UK.
Gyanendra TripathiMetabolic Health Theme, Centre for Systems Health and Integrated Metabolic Research, Department of Biosciences, School of Science and Technology, Nottingham Trent University, Clifton, Nottingham NG11 8NS, UK.
Aparna DuggiralaOMICS Facility, Biomedical and Clinical Science Research Theme, School of Science, University of Derby, Derby DE22 1GB, UK.ORCID 0000-0002-5311-0663

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesMetabolic/bariatric surgery is currently the most successful treatment for patients with obesity; however, a fifth of patients undergoing surgery may not lose enough weight to be considered successful. Recent studies have shown that bariatric/metabolic surgery alters the epigenome and may explain postoperative improvements in metabolic health. The primary objective is to consolidate published differentially methylated CpG sites in pre- and post-metabolic/bariatric surgery female patients and associate them with the respective genes and pathways.

methodsThis systematic review adhered to the PRISMA-P guidelines and was registered with the PROSPERO (CRD42023421852). Following an initial screening of 541 studies using COVIDENCE, six studies were selected, comprising three epigenome-wide association studies (EWAS) and three candidate gene methylation studies. The published studies collected DNA samples from female patients with obesity before and after surgery (3 months, 6 months, 9-31 months, and 2 years). KEGG pathway analysis was performed on genes where the extracted CpG sites were located.

resultsThe meta-analysis showed that 11,456 CpG sites are differentially methylated after a successful weight loss surgery, with 109 sites mapped to genes involved in key metabolic pathways, including FoxO, mTOR, insulin, cAMP, adipocytokine, Toll-like receptor, and PI3K-Akt.

conclusionThe highlighted differentially methylated CpG sites can be further used to predict the molecular signature associated with successful metabolic/bariatric surgery.

Indexed as

bariatric surgeryCpGepigeneticepigenetic signaturesmetabolic surgerymethylationobesityweight reduction

Identifiers

PMID40981068
PMCPMC12452392

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.