Evidence map›Paper›PMID 32521235›Full record

ReviewTrends in endocrinology and metabolism: TEM2020

Epigenetic Transgenerational Inheritance of Obesity Susceptibility.

Stephanie E King, Michael K Skinner

Open access · greenAbstract readReview
In one paragraph

Review in Trends in endocrinology and metabolism: TEM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
24.5field-weighted citation impact, top 1% 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

84 citing papers in PubMed, 149 citations in OpenAlex.

  1. Article
  2. Sex-biased metabolic programming in Drosophila via paternal white rice exposure.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2026
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24 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Stephanie E KingCenter for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, 99164-4236, USA.
Michael K SkinnerCenter for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, 99164-4236, USA. Electronic address: skinner@wsu.edu.
Washington State University · US

Funding

EPIGENETIC TRANSGENERATIONAL ENDOCRINE DISRUPTOR ACTIONSR01ES012974 · NIEHS · WASHINGTON STATE UNIVERSITY · PI SKINNER, MICHAEL K · 2005 to 2018
$4.6M
NIEHS NIH HHS R01 ES012974
6 · The paper itself

Abstract

The prevalence of obesity and associated diseases has reached pandemic levels. Obesity is often associated with overnutrition and a sedentary lifestyle, but clearly other factors also increase the susceptibility of metabolic disease states. Ancestral and direct exposures to environmental toxicants and altered nutrition have been shown to increase susceptibility for obesity and metabolic dysregulation. Environmental insults can reprogram the epigenome of the germline (sperm and eggs), which transmits the susceptibility for disease to future generations through epigenetic transgenerational inheritance. In this review, we discuss current evidence and molecular mechanisms for epigenetic transgenerational inheritance of obesity susceptibility. Understanding ancestral environmental insults and epigenetic transgenerational impacts on future generations will be critical to fully understand the etiology of obesity and to develop preventative therapy options.

Indexed as

AnimalsDNA MethylationEpigenesis, GeneticEpigenomicsHumansMaleObesityepigeneticsgenerationalmetabolismobesityreviewtransgenerational

Identifiers

PMID32521235
PMCPMC8260009
OpenAlexW3013531954

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.