Evidence mapPaperPMID 39724958Full record

ArticleMolecular metabolism2025

Pre-operative DNA methylation marks as predictors of weight loss outcomes after sleeve gastrectomy.

Guillermo Paz-López, Teresa M Linares-Pineda, Andrés González-Jiménez, Raquel Sancho-Marín, Luis Ocaña-Wilhelmi, Francisco J Tinahones, Sonsoles Morcillo, Carolina Gutiérrez-Repiso

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

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Guillermo Paz-LópezEstructura Común de Apoyo a la Investigación de Bioinformática. Instituto de Investigación Biomédica de Málaga-Plataforma BIONAND (IBIMA-Plataforma Bionand), Málaga, Spain.
Teresa M Linares-PinedaInstituto de Investigación Biomédica de Málaga-Plataforma BIONAND (IBIMA-Plataforma Bionand), Málaga, Spain; Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria de Málaga, Málaga, Spain.
Andrés González-JiménezEstructura Común de Apoyo a la Investigación de Bioinformática. Instituto de Investigación Biomédica de Málaga-Plataforma BIONAND (IBIMA-Plataforma Bionand), Málaga, Spain.
Raquel Sancho-MarínInstituto de Investigación Biomédica de Málaga-Plataforma BIONAND (IBIMA-Plataforma Bionand), Málaga, Spain; Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria de Málaga, Málaga, Spain.
Luis Ocaña-WilhelmiInstituto de Investigación Biomédica de Málaga-Plataforma BIONAND (IBIMA-Plataforma Bionand), Málaga, Spain; Unidad de Gestión Clínica de Cirugía General, Digestiva y Trasplantes, Hospital Universitario Virgen de la Victoria, Málaga, Spain; Departamento de Especialidades Quirúrgicas, Bioquímica e Inmunología, Universidad de Málaga, Málaga, Spain.
Francisco J TinahonesInstituto de Investigación Biomédica de Málaga-Plataforma BIONAND (IBIMA-Plataforma Bionand), Málaga, Spain; Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria de Málaga, Málaga, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Departamento de Medicina y Dermatología. Facultad de Medicina. Universidad de Málaga, Málaga, Spain. Electronic address: fjtinahones@uma.es.
Sonsoles MorcilloInstituto de Investigación Biomédica de Málaga-Plataforma BIONAND (IBIMA-Plataforma Bionand), Málaga, Spain; Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria de Málaga, Málaga, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain. Electronic address: sonsoles.morcillo@ibima.eu.
Carolina Gutiérrez-RepisoInstituto de Investigación Biomédica de Málaga-Plataforma BIONAND (IBIMA-Plataforma Bionand), Málaga, Spain; Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria de Málaga, Málaga, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAlthough DNA methylation has been suggested to be a potential predictor of the progression of obesity and obesity-related diseases, little is known about its potential role as predictive marker of successful weight loss after bariatric surgery.

methods20 patients who underwent sleeve gastrectomy were classified according to the percentage of excess weight loss (%EWL) 1 year after bariatric surgery, using 60% as the cut-off point. Blood DNA methylation was analyzed prior to surgery using the Infinium Methylation EPIC Bead Chip array-based platform.

resultsA total number of 76,559 differentially methylated positions (DMPs) (p < 0.05) were found between <60% EWL and >60% EWL groups. Of them, 59,308 DMPs were annotated to genes. KEGG enrichment analysis showed that pathways involved in the signalling of MAPK, Wnt, mTor, FoxO and AMPK, among others, were involved in weight loss trajectory. A stepwise logistic regression using the DMPs with an absolute Δβ >0.2 showed that higher methylation levels in the CpG sites cg02405213 (mapping to JAK2) (OR: 1.20098, [0.9586, 1.5044]) and cg01702330 (OR: 2.4426, [0.5761, 10.3567]), were shown to be associated with a higher probability of achieving >60 %EWL after sleeve gastrectomy, whereas higher methylation levels in the CpG site cg04863892 (mapping to HOXA5) were associated with lower probability of achieving >60 %EWL after sleeve gastrectomy (OR: 0.7966, [0.5637, 1.1259]).

conclusionsOur results show a different pre-surgery methylation pattern according to %EWL. We identified three CpG sites (cg04863892, cg02405213, cg01702330) with potential value as predictor markers of weight loss response to bariatric surgery.

Indexed as

DNA MethylationGastrectomyWeight LossAdultBariatric SurgeryCpG IslandsFemaleHumansMaleMiddle AgedObesityObesity, MorbidTreatment OutcomeDNA methylationPredictive biomarkerSleeve gastrectomyWeight loss

Identifiers

PMID39724958
PMCPMC11780120

What Socratic holds

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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 Socratic graph.