Evidence map›Paper›PMID 37623843›Full record

ArticleMetabolites2023

Untargeted Metabolomics and Body Mass in Adolescents: A Cross-Sectional and Longitudinal Analysis.

Amarnath Singh, Garrett Kinnebrew, Ping-Ching Hsu, Daniel Y Weng, Min-Ae Song, Sarah A Reisinger, Joseph P McElroy, Brittney Keller-Hamilton, Amy K Ferketich, Jo L Freudenheim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Impacts ofFood science & nutrition · 2026
    Article
  4. Review
  5. Article
  6. Article
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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

11 authors at 3 institutions in 1 country.

Amarnath SinghComprehensive Cancer Center, The Ohio State University, Columbus, OH 43210-1240, USA.ORCID 0000-0003-1762-6686
Garrett KinnebrewDepartment of Biomedical Informatics, Biomedical Informatics Shared Resources (BISR), The Ohio State University, Columbus, OH 43210-1240, USA.
Ping-Ching HsuDepartment of Environmental Health Sciences, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.ORCID 0000-0002-1749-0662
Daniel Y WengComprehensive Cancer Center, The Ohio State University, Columbus, OH 43210-1240, USA.
Min-Ae SongCollege of Public Health, The Ohio State University, Columbus, OH 43210-1240, USA.ORCID 0000-0002-2864-0224
Sarah A ReisingerCenter for Tobacco Research, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210-1240, USA.
Joseph P McElroyCenter for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210-1240, USA.
Brittney Keller-HamiltonCenter for Tobacco Research, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210-1240, USA.
Amy K FerketichCollege of Public Health, The Ohio State University, Columbus, OH 43210-1240, USA.
Jo L FreudenheimDepartment of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY 14214, USA.ORCID 0000-0002-9301-0499
Peter G ShieldsComprehensive Cancer Center, The Ohio State University, Columbus, OH 43210-1240, USA.ORCID 0000-0002-7404-217X
The Ohio State University · USUniversity at Buffalo, State University of New York · USUniversity of Arkansas for Medical Sciences · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Daniel G. Stover · 1985 to 2026
$132.3M
Project 4: Comprehension of Health Risks in More and Less Arousing Affe p240-275P50CA180908 · NCI · OHIO STATE UNIVERSITY · PI SHIELDS, PETER G., WEWERS, MARY ELLEN · 2013 to 2017
$18.9M
NCI NIH HHS P30 CA016058NCI NIH HHS P50 CA180908NCI NIH HHS P50CA180908NIH HHS P30CA016058
6 · The paper itself

Abstract

Obesity in children and adolescents has increased globally. Increased body mass index (BMI) during adolescence carries significant long-term adverse health outcomes, including chronic diseases such as cardiovascular disease, stroke, diabetes, and cancer. Little is known about the metabolic consequences of changes in BMI in adolescents outside of typical clinical parameters. Here, we used untargeted metabolomics to assess changing BMI in male adolescents. Untargeted metabolomic profiling was performed on urine samples from 360 adolescents using UPLC-QTOF-MS. The study includes a baseline of 235 subjects in a discovery set and 125 subjects in a validation set. Of them, a follow-up of 81 subjects (1 year later) as a replication set was studied. Linear regression analysis models were used to estimate the associations of metabolic features with BMI z-score in the discovery and validation sets, after adjusting for age, race, and total energy intake (kcal) at false-discovery-rate correction (FDR) ≤ 0.1. We identified 221 and 16 significant metabolic features in the discovery and in the validation set, respectively. The metabolites associated with BMI z-score in validation sets are glycylproline, citrulline, 4-vinylsyringol, 3'-sialyllactose, estrone sulfate, carnosine, formiminoglutamic acid, 4-hydroxyproline, hydroxyprolyl-asparagine, 2-hexenoylcarnitine, L-glutamine, inosine, N-(2-Hydroxyphenyl) acetamide glucuronide, and galactosylhydroxylysine. Of those 16 features, 9 significant metabolic features were associated with a positive change in BMI in the replication set 1 year later. Histidine and arginine metabolism were the most affected metabolic pathways. Our findings suggest that obesity and its metabolic outcomes in the urine metabolome of children are linked to altered amino acids, lipid, and carbohydrate metabolism. These identified metabolites may serve as biomarkers and aid in the investigation of obesity's underlying pathological mechanisms. Whether these features are associated with the development of obesity, or a consequence of changing BMI, requires further study.

Indexed as

adolescent obesityBMI z-scoremetabolomeobesityuntargeted metabolomics

Identifiers

PMID37623843
PMCPMC10456720
OpenAlexW4385420659

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.