Evidence map›Paper›PMID 28584296›Full record

ArticleInternational journal of obesity (2005)2017

Transcriptome analysis in blood cells from children reveals potential early biomarkers of metabolic alterations.

J Sánchez, C Picó, W Ahrens, R Foraita, A Fraterman, L A Moreno, P Russo, A Siani, A Palou

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Article in International journal of obesity (2005), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Increased mRNA Levels ofBiomedicines · 2022
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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

9 authors at 6 institutions in 3 countries.

J SánchezLaboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics), University of the Balearic Islands and CIBER Fisiopatología de la Obesidad y Nutrición, Palma de Mallorca, Spain.
C PicóLaboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics), University of the Balearic Islands and CIBER Fisiopatología de la Obesidad y Nutrición, Palma de Mallorca, Spain.
W AhrensLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
R ForaitaLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
A FratermanMVZ Eberhard &Partner Laboratoriumsmedizin, Dortmund, Germany.
L A MorenoGENUD Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Zaragoza, Spain.
P RussoUnit of Epidemiology and Population Genetics, Institute of Food Sciences, National Research Council, Avellino, Italy.
A SianiUnit of Epidemiology and Population Genetics, Institute of Food Sciences, National Research Council, Avellino, Italy.ORCID 0000-0002-9797-2943
A PalouLaboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics), University of the Balearic Islands and CIBER Fisiopatología de la Obesidad y Nutrición, Palma de Mallorca, Spain.
Centro de Investigación Biomédica en Red · ESInstitute of Food Science · ITFeuerwehr Dortmund · DELeibniz Institute for Prevention Research and Epidemiology - BIPS · DEUniversidad de Zaragoza · ESUniversity of Bremen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe development of effective strategies to prevent childhood obesity and its comorbidities requires new, reliable early biomarkers. Here, we aimed to identify in peripheral blood cells potential transcript-based biomarkers of unhealthy metabolic profile associated to overweight/obesity in children.

methodsWe performed a whole-genome microarray analysis in blood cells to identify genes differentially expressed between overweight and normal weight children to obtain novel transcript-based biomarkers predictive of metabolic complications.

resultsThe most significant enriched pathway of differentially expressed genes was related to oxidative phosphorylation, for which most of genes were downregulated in overweight versus normal weight children. Other genes were involved in carbohydrate metabolism/glucose homoeostasis or in lipid metabolism (for example, TCF7L2, ADRB3, LIPE, GIPR), revealing plausible mechanisms according to existing biological knowledge. A set of differentially expressed genes was identified to discriminate in overweight children those with high or low triglyceride levels.

conclusionsFunctional microarray analysis has revealed a set of potential blood-cell transcript-based biomarkers that may be a useful approach for early identification of children with higher predisposition to obesity-related metabolic alterations.

Indexed as

Gene Expression ProfilingMicroarray AnalysisBiomarkersBlood CellsChildChild, PreschoolEnergy MetabolismFemaleGene Expression RegulationGenetic Predisposition to DiseaseHumansInsulin ResistanceLipid MetabolismMaleMetabolic DiseasesPediatric ObesityBiomarkersReceptor, InsulinReceptors, Leptin

Identifiers

PMID28584296
OpenAlexW2623237339

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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.