Evidence map›Paper›PMID 29138870›Full record

ArticleMolecular medicine reports2018

INSIG2 rs7566605 single nucleotide variant and global DNA methylation index levels are associated with weight loss in a personalized weight reduction program.

Francesca Pirini, Sebastian Rodriguez-Torres, Bola Grace Ayandibu, María Orera-Clemente, Alberto Gonzalez-de la Vega, Fahcina Lawson, Roland J Thorpe, David Sidransky, Rafael Guerrero-Preston

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. The Role of Obesity and Diabetes in Dementia.International journal of molecular sciences · 2022
    Review
  5. Review
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

9 authors at 4 institutions in 3 countries.

Francesca PiriniBiosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, I‑47014 Meldola, Italy.
Sebastian Rodriguez-TorresDepartment of Otolaryngology, School of Medicine, Johns Hopkins University, Baltimore, MD 21231, USA.
Bola Grace AyandibuDepartment of Otolaryngology, School of Medicine, Johns Hopkins University, Baltimore, MD 21231, USA.
María Orera-ClementeGenetic Laboratory, University General Hospital Gregorio Marañón, 28007 Madrid, Spain.
Alberto Gonzalez-de la VegaMolecular Genetics and Clinical Genetics Department, CGC Genetics, 28016 Madrid, Spain.
Fahcina LawsonDepartment of Otolaryngology, School of Medicine, Johns Hopkins University, Baltimore, MD 21231, USA.
Roland J ThorpeJohns Hopkins University Centre for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
David SidranskyDepartment of Otolaryngology, School of Medicine, Johns Hopkins University, Baltimore, MD 21231, USA.
Rafael Guerrero-PrestonDepartment of Otolaryngology, School of Medicine, Johns Hopkins University, Baltimore, MD 21231, USA.
Johns Hopkins University · USJohns Hopkins Medicine · USHospital General Universitario Gregorio Marañón · ESIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

Epigenomic Markers of HNSCC Survival Across Ethnic GroupsK01CA164092 · NCI · JOHNS HOPKINS UNIVERSITY · PI GUERRERO-PRESTON, RAFAEL · 2011 to 2014
$530k
NCI NIH HHS K01 CA164092
6 · The paper itself

Abstract

Single nucleotide polymorphisms associated with lipid metabolism and energy balance are implicated in the weight loss response caused by nutritional interventions. Diet‑induced weight loss is also associated with differential global DNA methylation. DNA methylation has been proposed as a predictive biomarker for weight loss response. Personalized biomarkers for successful weight loss may inform clinical decisions when deciding between behavioral and surgical weight loss interventions. The aim of the present study was to investigate the association between global DNA methylation, genetic variants associated with energy balance and lipid metabolism, and weight loss following a non‑surgical weight loss regimen. The present study included 105 obese participants that were enrolled in a personalized weight loss program based on their allelic composition of the following five energy balance and lipid metabolism‑associated loci: Near insulin‑induced gene 2 (INSIG2); melanocortin 4 receptor; adrenoceptor β2; apolipoprotein A5; and G‑protein subunit β3. The present study investigated the association between a global DNA methylation index (GDMI), the allelic composition of the five energy balance and lipid metabolism‑associated loci, and weight loss during a 12 month program, after controlling for age, sex and body mass index (BMI). The results demonstrated a significant association between the GDMI and near INSIG2 locus, after adjusting for BMI and weight loss, and significant trends were observed when stratifying by gender. In conclusion, a combination of genetic and epigenetic biomarkers may be used to design personalized weight loss interventions, enabling adherence and ensuring improved outcomes for obesity treatment programs. Precision weight loss programs designed based on molecular information may enable the creation of personalized interventions for patients, that use genomic biomarkers for treatment design and for treatment adherence monitoring, thus improving response to treatment.

Indexed as

DNA MethylationAdolescentAdultAgedChildGene FrequencyGenetic Association StudiesHumansIntracellular Signaling Peptides and ProteinsMembrane ProteinsMiddle AgedObesityPolymorphism, Single NucleotideTreatment OutcomeWeight LossWeight Reduction ProgramsINSIG2 protein, humanIntracellular Signaling Peptides and ProteinsMembrane Proteins

Identifiers

PMID29138870
PMCPMC5780113
OpenAlexW2768512359

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.