Evidence map›Paper›PMID 34824246›Full record

ArticleNature communications2021

Imprinted lncRNA Dio3os preprograms intergenerational brown fat development and obesity resistance.

Yan-Ting Chen, Qi-Yuan Yang, Yun Hu, Xiang-Dong Liu, Jeanene M de Avila, Mei-Jun Zhu, Peter W Nathanielsz, Min Du

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
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  17. AMPK Suppression Due to Obesity Drives Oocyte mtDNA Heteroplasmy via ATF5-POLG Axis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  18. Pulling the trigger: Noncoding RNAs in white adipose tissue browning.Reviews in endocrine & metabolic disorders · 2024
    Review
  19. Article
  20. Childhood obesity from the genes to the epigenome.Frontiers in endocrinology · 2024
    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

8 authors at 2 institutions in 1 country.

Yan-Ting ChenNutrigenomics and Growth Biology Laboratory, Department of Animal Sciences, Washington State University, Pullman, WA, 99164, USA.
Qi-Yuan YangNutrigenomics and Growth Biology Laboratory, Department of Animal Sciences, Washington State University, Pullman, WA, 99164, USA.
Yun HuNutrigenomics and Growth Biology Laboratory, Department of Animal Sciences, Washington State University, Pullman, WA, 99164, USA.
Xiang-Dong LiuNutrigenomics and Growth Biology Laboratory, Department of Animal Sciences, Washington State University, Pullman, WA, 99164, USA.
Jeanene M de AvilaNutrigenomics and Growth Biology Laboratory, Department of Animal Sciences, Washington State University, Pullman, WA, 99164, USA.ORCID http://orcid.org/0000-0003-3947-7992
Mei-Jun ZhuSchool of Food Sciences, Washington State University, Pullman, WA, 99164, USA.
Peter W NathanielszWyoming Pregnancy and Life Course Health Center, Department of Animal Science, University of Wyoming, Laramie, WY, 82071, USA.
Min DuNutrigenomics and Growth Biology Laboratory, Department of Animal Sciences, Washington State University, Pullman, WA, 99164, USA. min.du@wsu.edu.ORCID http://orcid.org/0000-0002-7232-072X
Washington State University · USUniversity of Wyoming · US

Funding

The Southwest National Primate Research Center Supplement- Infrastructure improvements of ABSL2 holding areasP51OD011133 · OD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Larry S. Schlesinger · 2012 to 2026
$129.7M
Maternal obesity, AMPK and fetal brown adipogenesisR01HD067449 · NICHD · WASHINGTON STATE UNIVERSITY · PI MIN DU · 2010 to 2026
$4.6M
Zfp423 and Progenitor Adipogenesis during AgingR21AG049976 · NIA · WASHINGTON STATE UNIVERSITY · PI DU, MIN · 2016 to 2017
$405k
NIA NIH HHS R21 AG049976NICHD NIH HHS R01 HD067449NIH HHS P51 OD011133
6 · The paper itself

Abstract

Maternal obesity (MO) predisposes offspring to obesity and metabolic disorders but little is known about the contribution of offspring brown adipose tissue (BAT). We find that MO impairs fetal BAT development, which persistently suppresses BAT thermogenesis and primes female offspring to metabolic dysfunction. In fetal BAT, MO enhances expression of Dio3, which encodes deiodinase 3 (D3) to catabolize triiodothyronine (T3), while a maternally imprinted long noncoding RNA, Dio3 antisense RNA (Dio3os), is inhibited, leading to intracellular T3 deficiency and suppression of BAT development. Gain and loss of function shows Dio3os reduces D3 content and enhances BAT thermogenesis, rendering female offspring resistant to high fat diet-induced obesity. Attributing to Dio3os inactivation, its promoter has higher DNA methylation in obese dam oocytes which persists in fetal and adult BAT, uncovering an oocyte origin of intergenerational obesity. Overall, our data uncover key features of Dio3os activation in BAT to prevent intergenerational obesity and metabolic dysfunctions.

Indexed as

Adipocytes, BrownAdipogenesisAdipose Tissue, BrownAnimalsCell DifferentiationDiet, WesternDNA-Binding ProteinsDNA MethylationEnergy MetabolismFemaleGenomic ImprintingIodide PeroxidaseMiceObesityPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPregnancyDNA-Binding ProteinsIodide Peroxidaseiodothyronine deiodinase type IIIPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPpargc1a protein, mousePrdm16 protein, mouseRNA, Long NoncodingTranscription FactorsTriiodothyronine

Identifiers

PMID34824246
PMCPMC8617289
OpenAlexW3216656998

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.