Evidence map›Paper›PMID 35323708›Full record

ArticleMetabolites2022

Metabolomic Profiles in Childhood and Adolescence Are Associated with Fetal Overnutrition.

Ellen C Francis, Katerina Kechris, Catherine C Cohen, Gregory Michelotti, Dana Dabelea, Wei Perng

Abstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

6 authors.

Ellen C FrancisLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA.
Katerina KechrisDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.ORCID 0000-0002-3725-5459
Catherine C CohenLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA.ORCID 0000-0002-8402-0118
Gregory MichelottiMetabolon, Inc., Morrisville, NC 27560, USA.
Dana DabeleaLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA.ORCID 0000-0001-9514-8929
Wei PerngLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA.ORCID 0000-0001-8552-6850

Funding

NIDDK National Research Service Award (NRSA) T32 Diversity Administrative SupplementT32DK007658 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Kristen Elizabeth Boyle, Ihuoma U Eneli · 1991 to 2026
$6.0M
Institutional Career Development CoreKL2TR002534 · NCATS · UNIVERSITY OF COLORADO DENVER · PI BURNHAM, ELLEN L · 2018 to 2022
$4.6M
Exploring the Fetal Origins Hypothesis in Diverse YouthR01DK068001 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI DABELEA, DANA · 2005 to 2015
$4.5M
Characterizing metabolic variability during pregnancy to understand pathways of in-utero overnutrition: an integrative analysis of metabolomics and lifestyle dataK99HD108272 · NICHD · UNIVERSITY OF COLORADO DENVER · PI FRANCIS, ELLEN CROSS · 2022 to 2023
$182k
NCATS NIH HHS KL2 TR002534NICHD NIH HHS K99 HD108272NIDDK NIH HHS R01 DK068001NIDDK NIH HHS T32DK07658
6 · The paper itself

Abstract

Fetal overnutrition predisposes offspring to increased metabolic risk. The current study used metabolomics to assess sustained differences in serum metabolites across childhood and adolescence among youth exposed to three typologies of fetal overnutrition: maternal obesity only, gestational diabetes mellitus (GDM) only, and obesity + GDM. We included youth exposed in utero to obesity only (BMI ≥ 30; n = 66), GDM only (n = 56), obesity + GDM (n = 25), or unexposed (n = 297), with untargeted metabolomics measured at ages 10 and 16 years. We used linear mixed models to identify metabolites across both time-points associated with exposure to any overnutrition, using a false-discovery-rate correction (FDR) <0.20. These metabolites were included in a principal component analysis (PCA) to generate profiles and assess metabolite profile differences with respect to overnutrition typology (adjusted for prenatal smoking, offspring age, sex, and race/ethnicity). Fetal overnutrition was associated with 52 metabolites. PCA yielded four factors accounting for 17−27% of the variance, depending on age of measurement. We observed differences in three factor patterns with respect to overnutrition typology: sphingomyelin-mannose (8−13% variance), skeletal muscle metabolism (6−10% variance), and 3-carboxy-4-methyl-5-propyl-2-furanpropanoic acid (CMPF; 3−4% variance). The sphingomyelin-mannose factor score was higher among offspring exposed to obesity vs. GDM. Exposure to obesity + GDM (vs. GDM or obesity only) was associated with higher skeletal muscle metabolism and CMPF scores. Fetal overnutrition is associated with metabolic changes in the offspring, but differences between typologies of overnutrition account for a small amount of variation in the metabolome, suggesting there is likely greater pathophysiological overlap than difference.

Indexed as

childhoodgestational diabetes mellitusmetabolomicsobesitypregnancy

Identifiers

PMID35323708
PMCPMC8952572

What Socratic 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 Socratic graph.