Evidence map›Paper›PMID 28482944›Full record

ArticleJournal of developmental origins of health and disease2017

Increased birth weight is associated with altered gene expression in neonatal foreskin.

L J Reynolds, R I Pollack, R J Charnigo, C S Rashid, A J Stromberg, S Shen, J M O'Brien, K J Pearson

Open access · greenAbstract read
In one paragraph

Article in Journal of developmental origins of health and disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Methylation Status ofJournal of clinical research in pediatric endocrinology · 2021
    Observational
  6. Article
  7. 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

8 authors at 1 institution in 1 country.

L J Reynolds1Department of Pharmacology and Nutritional Sciences,University of Kentucky College of Medicine,Lexington,KY,USA.
R I Pollack2Department of Obstetrics and Gynecology,College of Medicine,University of Kentucky,Lexington,KY,USA.
R J Charnigo3Department of Biostatistics,College of Public Health,University of Kentucky,Lexington,KY,USA.
C S Rashid1Department of Pharmacology and Nutritional Sciences,University of Kentucky College of Medicine,Lexington,KY,USA.
A J Stromberg4Department of Statistics,University of Kentucky,Lexington,KY,USA.
S Shen4Department of Statistics,University of Kentucky,Lexington,KY,USA.
J M O'Brien2Department of Obstetrics and Gynecology,College of Medicine,University of Kentucky,Lexington,KY,USA.
K J Pearson1Department of Pharmacology and Nutritional Sciences,University of Kentucky College of Medicine,Lexington,KY,USA.
University of Kentucky · US

Funding

WKU Lead Faculty AwardP20GM103436 · NIGMS · UNIVERSITY OF LOUISVILLE · PI ERIC C ROUCHKA · 2012 to 2026
$60.1M
The role of IKKß in linking obesity to adipose tissue inflammation and adipogeneP20GM103527 · NIGMS · UNIVERSITY OF KENTUCKY · PI CASSIS, LISA A · 2012 to 2017
$13.7M
Kentucky Center for Clinical and Translational ScienceUL1TR000117 · NCATS · UNIVERSITY OF KENTUCKY · PI KERN, PHILIP A · 2012 to 2015
$13.3M
TRAINING PROGRAM IN OXIDATIVE STRESS AND NUTRITIONT32DK007778 · NIDDK · UNIVERSITY OF KENTUCKY · PI WEBB, NANCY R · 2000 to 2019
$2.5M
Training Program in Genome-Environment Interactions in Neonatal DiseaseT32HD060556 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI WORTHEN, GEORGE SCOTT · 2010 to 2014
$922k
NCATS NIH HHS UL1 TR000117NICHD NIH HHS T32 HD060556NIDDK NIH HHS T32 DK007778NIGMS NIH HHS P20 GM103436NIGMS NIH HHS P20 GM103527
6 · The paper itself

Abstract

Elevated birth weight is linked to glucose intolerance and obesity health-related complications later in life. No studies have examined if infant birth weight is associated with gene expression markers of obesity and inflammation in a tissue that comes directly from the infant following birth. We evaluated the association between birth weight and gene expression on fetal programming of obesity. Foreskin samples were collected following circumcision, and gene expression analyzed comparing the 15% greatest birth weight infants (n=7) v. the remainder of the cohort (n=40). Multivariate linear regression models were fit to relate expression levels on differentially expressed genes to birth weight group with adjustment for variables selected from a list of maternal and infant characteristics. Glucose transporter type 4 (GLUT4), insulin receptor substrate 2 (IRS2), leptin receptor (LEPR), lipoprotein lipase (LPL), low-density lipoprotein receptor-related protein 1 (LRP1), matrix metalloproteinase 2 (MMP2), plasminogen activator inhibitor-1 (PAI-1) and transcription factor 7-like 2 (TCF7L2) were significantly upregulated and histone deacetylase 1 (HDAC1) and thioredoxin (TXN) downregulated in the larger birth weight neonates v. CONTROLS: Multivariate modeling revealed that the estimated adjusted birth weight group difference exceeded one standard deviation of the expression level for eight of the 10 genes. Between 25 and 50% of variation in expression level was explained by multivariate modeling for eight of the 10 genes. Gene expression related to glycemic control, appetite/energy balance, obesity and inflammation were altered in tissue from babies with elevated birth weight, and these genes may provide important information regarding fetal programming in macrosomic babies.

Indexed as

Gene Expression Regulation, DevelopmentalAdultBirth WeightEnergy MetabolismFemaleFetal MacrosomiaForeskinHumansInfant, NewbornMalePregnancyYoung Adultcircumcisionfetal macrosomiafetal programminggestational weight gain

Identifiers

PMID28482944
PMCPMC6282696
OpenAlexW2612653847

What OpenQuestion holds

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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 OpenQuestion graph.