Evidence map›Paper›PMID 26243546›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2016

Maternal Obesity, Cage Density, and Age Contribute to Prostate Hyperplasia in Mice.

Emily C Benesh, Jeff Gill, Laura E Lamb, Kelle H Moley

Open access · bronzeAbstract read
In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Signaling pathways and targeted interventions for precancers.Signal transduction and targeted therapy · 2026
    Review
  2. Article
  3. TREC to WHERE? Transdisciplinary Research on Energetics and Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
    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

4 authors at 1 institution in 1 country.

Emily C BeneshDepartment of Obstetrics and Gynecology, Washington University in St Louis, School of Medicine, St Louis, MO, USA.
Jeff GillDivision of Public Health Sciences, Department of Surgery, Washington University in St Louis, School of Medicine, St Louis, MO, USA Division of Biostatistics, Washington University in St Louis, School of Medicine, St Louis, MO, USA Department of Political Science, Washington University in St Louis, One Brookings Dr, St Louis, MO, USA.
Laura E LambBeaumont Health Systems Research Institute, Royal Oak, MI.
Kelle H MoleyDepartment of Obstetrics and Gynecology, Washington University in St Louis, School of Medicine, St Louis, MO, USA moleyk@wudosis.wustl.edu.
Beaumont Health · US

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
Worksite Policies and neighborhood Influences on Obesity and Cancer RiskU54CA155496 · NCI · WASHINGTON UNIVERSITY · PI COLDITZ, GRAHAM A. · 2011 to 2016
$9.0M
CELL BIOLOGIC APPROACHES TO DIABETES RESEARCHT32DK007296 · NIDDK · WASHINGTON UNIVERSITY · PI COLONNA, MARCO · 1986 to 2014
$3.3M
NCATS NIH HHS UL1 TR000448NCI NIH HHS U54 CA 155496NCI NIH HHS U54 CA155496NIDDK NIH HHS 5T32 DK 7296-33NIDDK NIH HHS P30 DK056341NIDDK NIH HHS T32 DK007296
6 · The paper itself

Abstract

Identification of modifiable risk factors is gravely needed to prevent adverse prostate health outcomes. We previously developed a murine precancer model in which exposure to maternal obesity stimulated prostate hyperplasia in offspring. Here, we used generalized linear modeling to evaluate the influence of additional environmental covariates on prostate hyperplasia. As expected from our previous work, the model revealed that aging and maternal diet-induced obesity (DIO) each correlated with prostate hyperplasia. However, prostate hyperplasia was not correlated with the length of maternal DIO. Cage density positively associated with both prostate hyperplasia and offspring body weight. Expression of the glucocorticoid receptor in prostates also positively correlated with cage density and negatively correlated with age of the animal. Together, these findings suggest that prostate tissue was adversely patterned during early life by maternal overnutrition and was susceptible to alteration by environmental factors such as cage density. Additionally, prostate hyperplasia may be acutely influenced by exposure to DIO, rather than occurring as a response to worsening obesity and comorbidities experienced by the mother. Finally, cage density correlated with both corticosteroid receptor abundance and prostate hyperplasia, suggesting that overcrowding influenced offspring prostate hyperplasia. These results emphasize the need for multivariate regression models to evaluate the influence of coordinated variables in complicated animal systems.

Indexed as

Housing, AnimalAge FactorsAnimalsFemaleMaleObesityPregnancyPrenatal Exposure Delayed EffectsProstateProstatic HyperplasiaReceptors, GlucocorticoidRisk FactorsReceptors, Glucocorticoidcage overcrowdingdevelopmental programminggeneralized linear modelingmaternal obesityprostate hyperplasia

Identifiers

PMID26243546
PMCPMC5933174
OpenAlexW1861191926

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.