Evidence map›Paper›PMID 36135008›Full record

ArticleBioengineering (Basel, Switzerland)2022

Glycocalyx Sensing with a Mathematical Model of Acoustic Shear Wave Biosensor.

Varvara Turova, Andrey Kovtanyuk, Oleg Pykhteev, Irina Sidorenko, Renée Lampe

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2022. 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
0.9field-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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Computational Fluid Dynamics in Medicine and Biology.Bioengineering (Basel, Switzerland) · 2024
    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 2 institutions in 1 country.

Varvara TurovaKlinikum Rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 München, Germany.ORCID 0000-0002-6613-3311
Andrey KovtanyukKlinikum Rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 München, Germany.ORCID 0000-0002-3286-110X
Oleg PykhteevInterhyp AG, Domagkstr. 34, 80807 München, Germany.ORCID 0000-0002-5993-820X
Irina SidorenkoFakultät für Mathematik, Technische Universität München, Boltzmannstr. 3, 85747 Garching bei München, Germany.ORCID 0000-0003-4158-9416
Renée LampeKlinikum Rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 München, Germany.ORCID 0000-0002-1016-0249
TUM Klinikum · DETechnical University of Munich · DE

Funding

Buhl-Strohmaier FoundationKlaus Tschira FoundationWürth (Germany)
6 · The paper itself

Abstract

The article deals with an idea of exploiting an acoustic shear wave biosensor for investigating the glycocalyx, a polysaccharide polymer molecule layer on the endothelium of blood vessels that, according to recent studies, plays an important role in protecting against diseases. To test this idea, a mathematical model of an acoustic shear wave sensor and corresponding software developed earlier for proteomic applications are used. In this case, the glycocalyx is treated as a layer homogenized over the thin polymer "villi". Its material characteristics depend on the density, thickness, and length of the villi and on the viscous properties of the surrounding liquid (blood plasma). It is proved that the model used has a good sensitivity to the above parameters of the villi and blood plasma. Numerical experiments performed using real data collected retrospectively from premature infants show that the use of acoustic shear wave sensors may be a promising approach to investigate properties of glycocalyx-like structures and their role in prematurity.

Indexed as

acoustic sensorendothelial glycocalyxpreterm infantsshear waves

Identifiers

PMID36135008
PMCPMC9495919
OpenAlexW4295559671

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.