Evidence map›Paper›PMID 31975597›Full record

ArticleJournal of proteome research2020

Prepregnant Obesity of Mothers in a Multiethnic Cohort Is Associated with Cord Blood Metabolomic Changes in Offspring.

Ryan J Schlueter, Fadhl M Al-Akwaa, Paula A Benny, Alexandra Gurary, Guoxiang Xie, Wei Jia, Shaw J Chun, Ingrid Chern, Lana X Garmire

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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  15. Metabolomic signatures of low- and high-adiposity neonates differ based on maternal BMI.American journal of physiology. Endocrinology and metabolism · 2022
    Article
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

9 authors at 3 institutions in 1 country.

Ryan J SchlueterDepartment of Obstetrics and Gynecology, University of Hawaii, 1319 Punahou St Ste 824, Honolulu, Hawaii 96826, United States.
Fadhl M Al-AkwaaDepartment of Computational Medicine and Bioinformatics, North Campus Research Complex, University of Michigan, 1600 Huron Parkway, Ann Arbor, Michigan 48105, United States.ORCID 0000-0001-5349-7960
Paula A BennyDepartment of Epidemiology, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, Hawaii 96813, United States.
Alexandra GuraryJohn A. Burns School of Medicine, Department of Tropical Medicine, Medical Microbiology and Pharmacology, University of Hawaii, 651 Ilalo Street, Bioscience Building 320, Honolulu, Hawaii 96813, United States.
Guoxiang XieMetabolomics Shared Resource, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, Hawaii 96813, United States.
Wei JiaMetabolomics Shared Resource, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, Hawaii 96813, United States.ORCID 0000-0002-3739-8994
Shaw J ChunDepartment of Epidemiology, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, Hawaii 96813, United States.
Ingrid ChernDepartment of Obstetrics and Gynecology, University of Hawaii, 1319 Punahou St Ste 824, Honolulu, Hawaii 96826, United States.
Lana X GarmireDepartment of Computational Medicine and Bioinformatics, North Campus Research Complex, University of Michigan, 1600 Huron Parkway, Ann Arbor, Michigan 48105, United States.
University of Hawaiʻi at Mānoa · USUniversity of Hawaii System · USUniversity of Michigan · US

Funding

Transgenic Mouse, ICSI and IVF CoreP20GM103457 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI URSCHITZ, JOHANN · 2012 to 2018
$12.9M
Small Grants ProgramP30GM114737 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI YANAGIHARA, RICHARD · 2015 to 2022
$8.1M
An Integrative Omics Approach to Identify Biomarkers Related to Preeclampsia and Breast Cancer RisksR01HD084633 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2016 to 2020
$3.0M
Cancer precision medicine through spatially informative single cell image and transcriptomics data analysisR01LM012373 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2016 to 2024
$2.4M
DR. EPS: Drug Repurposing for Extended Patient SurvivalR01LM012907 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2019 to 2022
$1.0M
An Integrative Bioinformatics Approach to Study Single Cancer Cell HeterogeneityK01ES025434 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2014 to 2018
$905k
NICHD NIH HHS R01 HD084633NIEHS NIH HHS K01 ES025434NIGMS NIH HHS P20 GM103457NIGMS NIH HHS P30 GM114737NLM NIH HHS R01 LM012373NLM NIH HHS R01 LM012907
6 · The paper itself

Abstract

Maternal obesity has become a growing global health concern that may predispose the offspring to medical conditions later in life. However, the metabolic link between maternal prepregnant obesity and healthy offspring has not yet been fully elucidated. In this study, we conducted a case-control study using a coupled untargeted and targeted metabolomic approach from the newborn cord blood metabolomes associated with a matched maternal prepregnant obesity cohort of 28 cases and 29 controls. The subjects were recruited from multiethnic populations in Hawaii, including rarely reported Native Hawaiian and other Pacific Islanders (NHPI). We found that maternal obesity was the most important factor contributing to differences in cord blood metabolomics. Using an elastic net regularization-based logistic regression model, we identified 29 metabolites as potential early-life biomarkers manifesting intrauterine effect of maternal obesity, with accuracy as high as 0.947 after adjusting for clinical confounding (maternal and paternal age, ethnicity, parity, and gravidity). We validated the model results in a subsequent set of samples (

Indexed as

Fetal BloodMothersBirth WeightBody Mass IndexCase-Control StudiesFemaleHumansInfant, NewbornMetabolomicsObesityPregnancyanalysisbioinformaticsmetabolitemetabolomicsmothernative Hawaiianobesitypolynesian

Identifiers

PMID31975597
PMCPMC7357408
OpenAlexW3003063415

What OpenQuestion holds

Textmetadata
LicenceTDM
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.