Evidence map›Paper›PMID 38267770›Full record

SynthesisMetabolomics : Official journal of the Metabolomic Society2024

Metabolomic data presents challenges for epidemiological meta-analysis: a case study of childhood body mass index from the ECHO consortium.

Nicole Prince, Donghai Liang, Youran Tan, Akram Alshawabkeh, Elizabeth Esther Angel, Stefanie A Busgang, Su H Chu, José F Cordero, Paul Curtin, Anne L Dunlop and 18 more

Open access · greenAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 99% 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

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Review
  2. 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

28 authors at 13 institutions in 1 country.

Nicole PrinceChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Donghai LiangGangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Youran TanGangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Akram AlshawabkehDepartment of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA.
Elizabeth Esther AngelDepartment of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, 95616, USA.
Stefanie A BusgangDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Su H ChuChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
José F CorderoDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, USA.
Paul CurtinDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Anne L DunlopDepartment of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA.
Diane Gilbert-DiamondDepartment of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA.
Cecilia GiuliviDepartment of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, CA, 95616, USA.
Anne G HoenDepartment of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA.
Margaret R KaragasDepartment of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA.
David KirchnerDepartment of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA.
Augusto A LitonjuaDivision of Pediatric Pulmonary Medicine, Golisano Children's Hospital at Strong, University of Rochester Medical Center, Rochester, NY, USA.
Justin ManjouridesDepartment of Health Sciences, Northeastern University, Boston, MA, USA.
Susan McRitchieDepartment of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA.
John D MeekerDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Wimal PathmasiriDepartment of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA.
Wei PerngDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Rebecca J SchmidtDepartment of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, 95616, USA.
Deborah J WatkinsDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Scott T WeissChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Michael S ZensDepartment of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA.
Yeyi ZhuKaiser Permanente Northern California Division of Research, Oakland, CA, USA.
Jessica A Lasky-SuChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Rachel S KellyChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. hprke@channing.harvard.edu.
Dartmouth College · USEmory University · USHarvard University · USUniversity of California, Davis · USUniversity of North Carolina at Chapel Hill · USBrigham and Women's Hospital · USIcahn School of Medicine at Mount Sinai · USNortheastern University · USUniversity of Michigan–Ann Arbor · USGolisano Children's Hospital · USKaiser Permanente · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Georgia · US

Funding

Project-005U2COD023375 · OD · DUKE UNIVERSITY · PI Phillip Brian Smith · 2016 to 2026
$215.9M
ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)U24OD023382 · OD · JOHNS HOPKINS UNIVERSITY · PI Diane J Catellier, LISA P JACOBSON · 2016 to 2026
$148.4M
A prospective study of critical environmental exposures in formative early life that impact lifelong health in rural US children: the New Hampshire Birth Cohort StudyUH3OD023275 · OD · DARTMOUTH COLLEGE · PI MARGARET Rita KARAGAS, Juliette Madan · 2018 to 2026
$44.3M
The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child HealthU24OD023319 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Courtney K Blackwell, RICHARD GERSHON · 2016 to 2026
$43.7M
VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Martha Susiarjo · 1985 to 2026
$42.8M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
SYSTEMS APPROACHES TO THE EPIDEMIOLOGY, GENETICS AND GENOMICS OF LUNG DISEASEST32HL007427 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI DAWN L DEMEO, Edwin K Silverman · 1985 to 2026
$13.6M
Multi-omic approaches to mechanisms of vitamin D, environmental influences, and the microbiome on asthmaUH3OD023268 · OD · BRIGHAM AND WOMEN'S HOSPITAL · PI LITONJUA, AUGUSTO A, WEISS, SCOTT T · 2018 to 2022
$13.5M
Trajectories and Environments in Autism: a Multi-cohort Study (TEAMS) following autism families in ECHO Phase 2UH3OD023342 · OD · DREXEL UNIVERSITY · PI KRISTEN Lyall, HEATHER E VOLK · 2018 to 2026
$12.8M
The Impact of the Intrauterine and Early Childhood Environments on Neurocognitive and Metabolic Development in African American Youth: Focus on the Gut-Brain AxisUH3OD023318 · OD · EMORY UNIVERSITY · PI PATRICIA A BRENNAN, ANNE Lang DUNLOP · 2018 to 2026
$9.0M
Integrative Metabolomics of Asthma SeverityR01HL123915 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LASKY-SU, JESSICA A · 2014 to 2023
$7.0M
NHLBI NIH HHS K01 HL146980NHLBI NIH HHS K01 HL153941NHLBI NIH HHS R01 HL123915NHLBI NIH HHS R01 HL141826NHLBI NIH HHS T32 HL007427NIDDK NIH HHS P30 DK056350NIEHS NIH HHS P30 ES001247NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R24 ES029490NIEHS NIH HHS U24 ES028533NIEHS NIH HHS U24 ES029490NIEHS NIH HHS U2C ES026544NIH HHS U24 OD023319NIH HHS U24 OD023382NIH HHS U2C OD023375NIH HHS UH3 OD023268NIH HHS UH3 OD023275NIH HHS UH3 OD023318NIH HHS UH3 OD023342
6 · The paper itself

Abstract

introductionMeta-analyses across diverse independent studies provide improved confidence in results. However, within the context of metabolomic epidemiology, meta-analysis investigations are complicated by differences in study design, data acquisition, and other factors that may impact reproducibility.

objectiveThe objective of this study was to identify maternal blood metabolites during pregnancy (> 24 gestational weeks) related to offspring body mass index (BMI) at age two years through a meta-analysis framework.

methodsWe used adjusted linear regression summary statistics from three cohorts (total N = 1012 mother-child pairs) participating in the NIH Environmental influences on Child Health Outcomes (ECHO) Program. We applied a random-effects meta-analysis framework to regression results and adjusted by false discovery rate (FDR) using the Benjamini-Hochberg procedure.

resultsOnly 20 metabolites were detected in all three cohorts, with an additional 127 metabolites detected in two of three cohorts. Of these 147, 6 maternal metabolites were nominally associated (P < 0.05) with offspring BMI z-scores at age 2 years in a meta-analytic framework including at least two studies: arabinose (Coef

conclusionsDespite including three cohorts with large sample sizes (N > 100), we failed to identify significant metabolite associations after FDR correction. Our investigation demonstrates difficulties in applying epidemiological meta-analysis to clinical metabolomics, emphasizes challenges to reproducibility, and highlights the need for standardized best practices in metabolomic epidemiology.

Indexed as

LysineMetabolomicsBody Mass IndexChildChild, PreschoolFemaleHumansLinear ModelsPregnancyReproducibility of ResultsLysineChildhood obesityMaternal metabolitesMetabolomic epidemiologyMetabolomic meta-analysis

Identifiers

PMID38267770
PMCPMC11099615
OpenAlexW4391160736

What Socratic holds

Textmetadata
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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.