Evidence map›Paper›PMID 32413135›Full record

ArticleThe Journal of clinical endocrinology and metabolism2020

Mitochondrial Nutrient Utilization Underlying the Association Between Metabolites and Insulin Resistance in Adolescents.

Jennifer L LaBarre, Karen E Peterson, Maureen T Kachman, Wei Perng, Lu Tang, Wei Hao, Ling Zhou, Alla Karnovsky, Alejandra Cantoral, Martha María Téllez-Rojo and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-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

13 citing papers in PubMed, 34 citations in OpenAlex.

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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

12 authors at 5 institutions in 3 countries.

Jennifer L LaBarreDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan.
Karen E PetersonDepartment of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan.
Maureen T KachmanBiomedical Research Core Facilities Metabolomics Core, University of Michigan Medical School, Ann Arbor, Michigan.
Wei PerngDepartment of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan.
Lu TangDepartment of Biostatistics, University of Pittsburgh, Pittsburg, Pennsylvania.
Wei HaoDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan.
Ling ZhouCenter of Statistical Research, Southwestern University of Finance and Economics, Chengdu, Sichuan, China.
Alla KarnovskyDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan.
Alejandra CantoralNational Institute of Public Health, Morelos, Mexico.
Martha María Téllez-RojoNational Institute of Public Health, Morelos, Mexico.
Peter X K SongDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan.
Charles F BurantDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan.
University of Michigan · USInstituto Nacional de Salud Pública · MXColorado School of Public Health · USSouthwestern University of Finance and Economics · CNUniversity of Pittsburgh · US

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Scott Soleimanpour · 2013 to 2026
$24.3M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Kanakadurga Singer · 2010 to 2026
$20.3M
Statistics and Bioinformatics Core - WangU24DK097153 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BURANT, CHARLES F · 2012 to 2017
$10.1M
Project 3: Developmental Exposures and Diet: Epigenetics of Metabolic SyndromeP01ES022844 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PADMANABHAN, VASANTHA, PETERSON, KAREN EILEEN · 2013 to 2018
$3.9M
E3Gen: Multigenerational Influences of Social Structure on Toxicant Exposures and Life Course Health in the ELEMENT CohortR24ES028502 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Karen Eileen Peterson, Peter Xuekun Song · 2017 to 2026
$2.2M
Project 1: Prenatal Lead Exposure, Early Childhood Growth, and Sexual MaturationP20ES018171 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PETERSON, KAREN EILEEN · 2010 to 2012
$584k
NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK089503NIDDK NIH HHS U24 DK097153NIEHS NIH HHS P01 ES022844NIEHS NIH HHS P20 ES018171NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R24 ES028502
6 · The paper itself

Abstract

contextA person's intrinsic metabolism, reflected in the metabolome, may describe the relationship between nutrient intake and metabolic health.

objectivesUntargeted metabolomics was used to identify metabolites associated with metabolic health. Path analysis classified how habitual dietary intake influences body mass index z-score (BMIz) and insulin resistance (IR) through changes in the metabolome.

designData on anthropometry, fasting metabolites, C-peptide, and dietary intake were collected from 108 girls and 98 boys aged 8 to 14 years. Sex-stratified linear regression identified metabolites associated with BMIz and homeostatic model assessment of IR using C-peptide (HOMA-CP), accounting for puberty, age, and muscle and fat area. Path analysis identified clusters of metabolites that underlie the relationship between energy-adjusted macronutrient intake with BMIz and HOMA-CP.

resultsMetabolites associated with BMIz include positive associations with diglycerides among girls and positive associations with branched chain and aromatic amino acids in boys. Intermediates in fatty acid metabolism, including medium-chain acylcarnitines (AC), were inversely associated with HOMA-CP. Carbohydrate intake is positively associated with HOMA-CP through decreases in levels of AC, products of β-oxidation. Approaching significance, fat intake is positively associated with HOMA-CP through increases in levels of dicarboxylic fatty acids, products of omega-oxidation.

conclusionsThis cross-sectional analysis suggests that IR in children is associated with reduced fatty acid oxidation capacity. When consuming more grams of fat, there is evidence for increased extramitochondrial fatty acid metabolism, while higher carbohydrate intake appears to lead to decreases in intermediates of β-oxidation. Thus, biomarkers of IR and mitochondrial oxidative capacity may depend on macronutrient intake.

Indexed as

Insulin ResistanceNutritional StatusAdolescentBody Mass IndexChildCross-Sectional StudiesDietHumansMaleMetabolomeMitochondriaNutrition AssessmentadolescentsBMIfatty acid oxidationinsulin resistancemacronutrientmetabolome

Identifiers

PMID32413135
PMCPMC7274492
OpenAlexW3026044207

What OpenQuestion holds

Textmetadata
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.