Evidence map›Paper›PMID 24866568›Full record

ArticleAnnals of biomedical engineering2014

Developmental changes in postnatal murine intestinal interstitial cell of Cajal network structure and function.

Jerry Gao, Shameer Sathar, Gregory O'Grady, Juan Han, Leo K Cheng

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2014. 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
1.1field-weighted citation impact, top 23% 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.

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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 2 institutions in 2 countries.

Jerry GaoAuckland Bioengineering Institute, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
Shameer Sathar
Gregory O'Grady
Juan Han
Leo K Cheng
University of Auckland · NZVanderbilt University · US

Funding

Realistic models of gastrointestinal bioelectromagnetismR01DK064775 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CHENG, LEO · 2004 to 2014
$2.6M
NIDDK NIH HHS R01 DK064775NIDDK NIH HHS R01 DK64775
6 · The paper itself

Abstract

The mammalian gastrointestinal (GI) tract undergoes rapid development during early postnatal life in order to transition from a milk to solid diet. Interstitial cells of Cajal (ICC) are the pacemaker cells that coordinate smooth muscle contractility within the GI tract, and hence we hypothesized that ICC networks undergo significant developmental changes during this early postnatal period. Numerical metrics for quantifying ICC network structural properties were applied on confocal ICC network imaging data obtained from the murine small intestine at various postnatal ages spanning birth to weaning. These imaging data were also coupled to a biophysically-based computational model to simulate pacemaker activity in the networks, to quantify how changes in structure may alter function. The results showed a pruning-like mechanism which occurs during postnatal development, and the temporal course of this phenomenon was defined. There was an initial ICC process overgrowth to optimize network efficiency and increase functional output volume. This was followed by a selective retaining and strengthening of processes, while others were discarded to further elevate functional output volume. Subsequently, new ICC processes were formed and the network was adjusted to its adult morphology. These postnatal ICC network developmental events may be critical in facilitating mature digestive function.

Indexed as

AgingAnimalsBiological ClocksInterstitial Cells of CajalMice, Inbred BALB C

Identifiers

PMID24866568
PMCPMC4106915
OpenAlexW2030297634

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.