Evidence map›Paper›PMID 33137934›Full record

ReviewNutrients2020

Insulin Resistance in Obese Children: What Can Metabolomics and Adipokine Modelling Contribute?

Francisco J Rupérez, Gabriel Á Martos-Moreno, David Chamoso-Sánchez, Coral Barbas, Jesús Argente

Open access · goldAbstract readReview
In one paragraph

Review in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. MASLD In Children - A Distinct Phenotype?Current obesity reports · 2026
    Review
  5. Article
  6. Review
  7. Biomolecules · 2025
    Article
  8. Exploring Salivary Biomarkers in Pediatric Obesity: A Scoping Review.International journal of molecular sciences · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Metabolomic signatures of low- and high-adiposity neonates differ based on maternal BMI.American journal of physiology. Endocrinology and metabolism · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. 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

5 authors at 3 institutions in 1 country.

Francisco J RupérezCentro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, 28660 Madrid, Spain.
Gabriel Á Martos-MorenoDepartments of Pediatrics & Pediatric Endocrinology, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain.ORCID 0000-0001-5524-2646
David Chamoso-SánchezCentro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, 28660 Madrid, Spain.
Coral BarbasCentro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, 28660 Madrid, Spain.ORCID 0000-0003-4722-491X
Jesús ArgenteDepartments of Pediatrics & Pediatric Endocrinology, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain.ORCID 0000-0001-5826-0276
Universidad San Pablo CEU · ESInstituto de Salud Carlos III · ESMadrid Institute for Advanced Studies · ES

Funding

Instituto de Salud Carlos III FIS-PI19/00166Ministerio de Ciencia, Innovación y Universidades of Spain MICINN/FEDER RTI2018-095166-B-I00
6 · The paper itself

Abstract

The evolution of obesity and its resulting comorbidities differs depending upon the age of the subject. The dramatic rise in childhood obesity has resulted in specific needs in defining obesity-associated entities with this disease. Indeed, even the definition of obesity differs for pediatric patients from that employed in adults. Regardless of age, one of the earliest metabolic complications observed in obesity involves perturbations in glucose metabolism that can eventually lead to type 2 diabetes. In children, the incidence of type 2 diabetes is infrequent compared to that observed in adults, even with the same degree of obesity. In contrast, insulin resistance is reported to be frequently observed in children and adolescents with obesity. As this condition can be prerequisite to further metabolic complications, identification of biological markers as predictive risk factors would be of tremendous clinical utility. Analysis of obesity-induced modifications of the adipokine profile has been one classic approach in the identification of biomarkers. Recent studies emphasize the utility of metabolomics in the analysis of metabolic characteristics in children with obesity with or without insulin resistance. These studies have been performed with targeted or untargeted approaches, employing different methodologies. This review summarizes some of the advances in this field while emphasizing the importance of the different techniques employed.

Indexed as

AdipokinesAdolescentAdultBiomarkersBlood GlucoseChildDiabetes Mellitus, Type 2FemaleHumansInsulin ResistanceMaleMetabolomicsPediatric ObesityPredictive Value of TestsRisk AssessmentRisk FactorsAdipokinesBiomarkersBlood Glucoseadipokinechildhoodinsulin resistancemetabolomicsobesity

Identifiers

PMID33137934
PMCPMC7692749
OpenAlexW3096619621

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.