Evidence map›Paper›PMID 38040740›Full record

ArticleScientific reports2023

A 1D model characterizing the role of spatiotemporal contraction distributions on lymph transport.

Farbod Sedaghati, J Brandon Dixon, Rudolph L Gleason

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

3 authors.

Farbod SedaghatiThe George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
J Brandon DixonThe George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0003-0351-4587
Rudolph L GleasonThe George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA. rudy.gleason@me.gatech.edu.

Funding

Multi-scale modeling of lymphatic vasculature growth and adaptationR01HL152152 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI ALEXEEV, ALEXANDER, DIXON, JAMES BRANDON · 2020 to 2023
$2.5M
NHLBI NIH HHS R01 HL152152
6 · The paper itself

Abstract

Lymphedema is a condition in which lymph transport is compromised. The factors that govern the timing of lymphatic contractions are largely unknown; however, these factors likely play a central role in lymphatic health. Computational models have proven useful in quantifying changes in lymph transport; nevertheless, there is still much unknown regarding the regulation of contractions. The purpose of this paper is to utilize computational modeling to examine the role of pacemaking activity in lymph transport. A 1D fluid-solid modeling framework was utilized to describe the interaction between the contracting vessel and the lymph flow. The distribution of contractions along a three-lymphangion chain in time and space was determined by specifying the pacemaking sites and parameters obtained from experimentation. The model effectively replicates the contractility patterns in experiments. Quantitatively, the flow rates were measured at 5.44 and 2.29 [Formula: see text], and the EF values were 78% and less than 33% in the WT and KO models, respectively, which are consistent with the literature. Applying pacemaking parameters in this modeling framework effectively captures lymphatic contractile wave propagations and their relation to lymph transport. It can serve as a motivation for conducting novel studies to evaluate lymphatic pumping function during the development of lymphedema.

Indexed as

Lymphatic VesselsLymphedemaComputer SimulationHumansLymphLymphatic SystemMuscle Contraction

Identifiers

PMID38040740
PMCPMC10692214

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.