Evidence map›Paper›PMID 27517054›Full record

SynthesisJournal of diabetes research2016

Using Metabolomic Profiles as Biomarkers for Insulin Resistance in Childhood Obesity: A Systematic Review.

Xue Zhao, Xiaokun Gang, Yujia Liu, Chenglin Sun, Qing Han, Guixia Wang

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Journal of diabetes research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 pooled it
2.9field-weighted citation impact, top 9% 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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Review
  8. Article
  9. The Complex Relation of Branched-Chain Amino Acids and Inflammation in the Obesity and Diabetes Context.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
  10. Article
  11. Article
  12. Review
  13. Metabolomics: Uncovering Insights into Obesity and Diabetes.International journal of molecular sciences · 2025
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Xue ZhaoDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, China.ORCID 0000-0001-8985-1861
Xiaokun GangDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, China.ORCID 0000-0002-9463-5175
Yujia LiuDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, China.ORCID 0000-0002-6436-6998
Chenglin SunDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, China.
Qing HanHospital of Orthopedics, The Second Hospital of Jilin University, Changchun 130021, China.ORCID 0000-0002-1404-1562
Guixia WangDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, China.ORCID 0000-0001-8107-616X
Jilin University · CNSecond Affiliated Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing body of evidence has shown the intimate relationship between metabolomic profiles and insulin resistance (IR) in obese adults, while little is known about childhood obesity. In this review, we searched available papers addressing metabolomic profiles and IR in obese children from inception to February 2016 on MEDLINE, Web of Science, the Cochrane Library, ClinicalTrials.gov, and EMASE. HOMA-IR was applied as surrogate markers of IR and related metabolic disorders at both baseline and follow-up. To minimize selection bias, two investigators independently completed this work. After critical selection, 10 studies (including 2,673 participants) were eligible and evaluated by using QUADOMICS for quality assessment. Six of the 10 studies were classified as "high quality." Then we generated all the metabolites identified in each study and found amino acid metabolism and lipid metabolism were the main affected metabolic pathways in obese children. Among identified metabolites, branched-chain amino acids (BCAAs), aromatic amino acids (AAAs), and acylcarnitines were reported to be associated with IR as biomarkers most frequently. Additionally, BCAAs and tyrosine seemed to be relevant to future metabolic risk in the long-term follow-up cohorts, emphasizing the importance of early diagnosis and prevention strategy. Because of limited scale and design heterogeneity of existing studies, future studies might focus on validating above findings in more large-scale and longitudinal studies with elaborate design.

Indexed as

Insulin ResistanceMetabolomicsAmino Acids, AromaticAmino Acids, Branched-ChainBiomarkersCarnitineChildHumansPediatric ObesityacylcarnitineAmino Acids, AromaticAmino Acids, Branched-ChainBiomarkersCarnitine

Identifiers

PMID27517054
PMCPMC4969529
OpenAlexW2475990579

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.