Evidence map›Paper›PMID 29603098›Full record

ArticleJournal of endocrinological investigation2019

DNA methylation of genes regulating appetite and prediction of weight loss after bariatric surgery in obese individuals.

F Coppedè, M Seghieri, A Stoccoro, E Santini, L Giannini, C Rossi, L Migliore, A Solini

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Article in Journal of endocrinological investigation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 31% of its field
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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

F CoppedèDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
M SeghieriDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
A StoccoroDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
E SantiniDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
L GianniniDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
C RossiDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
L MiglioreDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
A SoliniDepartment of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Via Roma 67, 56126, Pisa, Italy. anna.solini@med.unipi.it.ORCID http://orcid.org/0000-0002-7855-8253
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEpigenetic traits are influenced by clinical variables; interaction between DNA methylation (DNAmeth) and bariatric surgery-induced weight loss has been scarcely explored. We investigated whether DNAmeth of genes encoding for molecules/hormones regulating appetite, food intake or obesity could predict successful weight outcome following Roux-en-Y gastric bypass (RYGB).

methodsForty-five obese individuals with no known comorbidities were stratified accordingly to weight decrease one-year after RYGB (excess weight loss, EWL ≥ 50%: good responders, GR; EWL < 50%: worse responders, WR). DNAmeth of leptin (LEP), ghrelin (GHRL), ghrelin receptor (GHSR) and insulin-growth factor-2 (IGF2) was assessed before intervention. Single nucleotide polymorphisms of genes affecting DNAmeth, DNMT3A and DNMT3B, were also determined.

resultsAt baseline, type 2 diabetes was diagnosed by OGTT in 13 patients. Post-operatively, GR (n = 23) and WR (n = 22) achieved an EWL of 67.7 ± 9.6 vs 38.2 ± 9.0%, respectively. Baseline DNAmeth did not differ between GR and WR for any tested genes, even when the analysis was restricted to subjects with no diabetes. A relationship between GHRL and LEP methylation profiles emerged (r = 0.47, p = 0.001). Searching for correlation between DNAmeth of the studied genes with demographic characteristics and baseline biochemical parameters of the studied population, we observed a correlation between IGF2 methylation and folate (r = 0.44, p = 0.003). Rs11683424 for DNMT3A and rs2424913 for DNMT3B did not correlate with DNAmeth of the studied genes.

conclusionsIn severely obese subjects, the degree of DNAmeth of some genes affecting obesity and related conditions does not work as predictor of successful response to RYGB.

Indexed as

AdultAppetiteBariatric SurgeryCohort StudiesDNA MethylationEpigenesis, GeneticFemaleGastric BypassHumansMaleMiddle AgedObesityObesity, MorbidPredictive Value of TestsTreatment OutcomeWeight LossAppetiteBariatric surgeryDNA methylationEpigenetics

Identifiers

PMID29603098
OpenAlexW2794741735

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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.