Evidence map›Paper›PMID 33659487›Full record

ArticleBio-protocol2020

Treadmill Running of Mouse as a Model for Studying Influence of Maternal Exercise on Offspring.

Song Ah Chae, Jun Seok Son, Mei-Jun Zhu, Jeanene M De Avila, And Min Du

Open access · greenAbstract read
In one paragraph

Article in Bio-protocol, 2020. 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
0.6field-weighted citation impact, top 25% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Maternal exercise improves epithelial development of fetal intestine by enhancing apelin signaling and oxidative metabolism.American journal of physiology. Regulatory, integrative and comparative physiology · 2022
    Article
  6. Review
  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

5 authors at 1 institution in 1 country.

Song Ah ChaeNutrigenomics and Growth Biology Laboratory, Department of Animal Sciences, Washington State University, Pullman, WA 99164, USA.
Jun Seok SonNutrigenomics and Growth Biology Laboratory, Department of Animal Sciences, Washington State University, Pullman, WA 99164, USA.
Mei-Jun ZhuSchool of Food Science, 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.
And Min DuNutrigenomics and Growth Biology Laboratory, Department of Animal Sciences, Washington State University, Pullman, WA 99164, USA.
Washington State University · US

Funding

Maternal obesity, AMPK and fetal brown adipogenesisR01HD067449 · NICHD · WASHINGTON STATE UNIVERSITY · PI MIN DU · 2010 to 2026
$4.6M
NICHD NIH HHS R01 HD067449
6 · The paper itself

Abstract

Epidemiological studies robustly show the beneficial effects of maternal exercise in reducing maternal birth complications and improving neonatal outcomes, though underlying mechanisms remain poorly understood. To facilitate mechanistic exploration, a protocol for maternal exercise of mice is established, with the regimen following the exercise guidelines for pregnant women. Compared to volunteer wheel running, treadmill running allows precise control of exercise intensity and duration, dramatically reducing variations among individual mouse within treatments and facilitating translation into maternal exercise in humans. Based on the maximal oxygen consumption rate (VO

Indexed as

Maternal exerciseMicePregnancyProtocolTreadmill runningVO2max

Identifiers

PMID33659487
PMCPMC7842301
OpenAlexW3107701045

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.