Evidence map›Paper›PMID 32985128›Full record

ArticleObesity (Silver Spring, Md.)2020

Gestational Cytokines and the Developmental Expression of Obesity in Childhood.

Akhgar Ghassabian, Mady Hornig, Zhen Chen, Edwina Yeung, Stephen L Buka, Jing Yu, Gina Ma, Jill M Goldstein, Stephen E Gilman

Open access · greenAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 5 institutions in 1 country.

Akhgar GhassabianDepartment of Pediatrics, School of Medicine, New York University, New York, New York, USA.ORCID 0000-0001-9551-4706
Mady HornigDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Zhen ChenBiostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
Edwina YeungEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
Stephen L BukaDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, USA.
Jing YuSocial and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
Gina MaSocial and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
Jill M GoldsteinDepartment of Psychiatry, Harvard Medical School, Harvard University, Boston, Massachusetts, USA.
Stephen E GilmanSocial and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
National Institutes of Health · USBrown University · USColumbia University · USHarvard University · USNew York University · US

Funding

The NYU Children’s Health & Environment Study: an ECHO CohortUH3OD023305 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Akhgar Ghassabian, Leonardo Trasande · 2018 to 2026
$59.5M
Sex-Specific Programming of the HPA Axis by GlucocorticoidsP50MH082679 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLDSTEIN, JILL M · 2007 to 2011
$5.9M
Fetal Antecedents to Depression and Risk for CVDR01MH074679 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLDSTEIN, JILL M · 2007 to 2011
$3.7M
NIH HHS UH3 OD023305NIMH NIH HHS P50 MH082679NIMH NIH HHS R01 MH074679
6 · The paper itself

Abstract

objectiveThis study examined the extent to which maternal immune activity during pregnancy is associated with childhood adiposity, and if so, whether associations at birth differ from those in infancy and childhood. Sex-specific associations were also examined.

methodsParticipants were 1,366 singleton pregnancies from the Collaborative Perinatal Project (1959-1966). Interleukin-1β (IL-1β), IL-6, TNF-α, IL-8, and IL-10 in maternal sera were assayed repeatedly during pregnancy. Children's BMI was calculated repeatedly from birth through age 8 and derived age- and sex-normalized BMI z scores (BMIz). Linear mixed models were used to estimate the cumulative concentration of each cytokine in the second and third trimesters and then related this concentration to child BMIz.

resultsChildren exposed to higher IL-1β, IL-6, IL-8, and IL-10 concentrations had lower BMIz at birth but higher BMIz during childhood. Higher concentrations of IL-8 and IL-1β were also associated with higher BMIz during infancy (B per log increase in IL-8 = 0.04; 95% CI: 0.02 to 0.07; B per log increase in IL-1β = 0.03; 95% CI: 0.001 to 0.06). The associations between TNF-α and BMIz were in opposing directions in boys (B = -0.13; 95% CI: -0.31 to 0.04) and girls (B = 0.14; 95% CI: 0.02 to 0.26) during childhood.

conclusionsMaternal prenatal inflammation contributes to the age- and sex-specific programming of obesity risk in childhood.

Indexed as

AdultChildChild, PreschoolCytokinesFemaleHumansMalePediatric ObesityPregnancyYoung AdultCytokines

Identifiers

PMID32985128
PMCPMC7644634
OpenAlexW3088498780

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.