Evidence map›Paper›PMID 38534535›Full record

ArticleBioengineering (Basel, Switzerland)2024

Bio-Inspired Magnetically Responsive Silicone Cilia: Fabrication Strategy and Interaction with Biological Mucus.

Aline Grein-Iankovski, Karina Andrighetti de Oliveira Braga, Daniel Formariz Legendre, Paulo Francisco Guerreiro Cardoso, Watson Loh

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Aline Grein-IankovskiInstitute of Chemistry, Universidade Estadual de Campinas (UNICAMP), Campinas 13083-970, SP, Brazil.
Karina Andrighetti de Oliveira BragaInstituto do Coração, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil.ORCID 0000-0002-6651-9396
Daniel Formariz LegendreFundação Adib Jatene, Instituto Dante Pazzanese de Cardiologia, São Paulo 04012-180, SP, Brazil.ORCID 0000-0003-3271-2048
Paulo Francisco Guerreiro CardosoInstituto do Coração, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil.
Watson LohInstitute of Chemistry, Universidade Estadual de Campinas (UNICAMP), Campinas 13083-970, SP, Brazil.ORCID 0000-0002-8049-3321

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2015/25406-5Fundação de Amparo à Pesquisa do Estado de São Paulo 2017/04571-3Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/16330-3
6 · The paper itself

Abstract

Cilia are biological structures essential to drive the mobility of secretions and maintain the proper function of the respiratory airways. However, this motile self-cleaning process is significantly compromised in the presence of silicone tracheal prosthesis, leading to biofilm growth and impeding effective treatment. To address this challenge and enhance the performance of these devices, we propose the fabrication of magnetic silicone cilia, with the prospect of their integration onto silicone prostheses. The present study presents a fabrication method based on magnetic self-assembly and assesses the interaction behavior of the cilia array with biological mucus. This protocol allows for the customization of cilia dimensions across a wide range of aspect ratios (from 6 to 85) and array densities (from 10 to 80 cilia/mm

Indexed as

artificial ciliamagnetic ciliamucociliary clearancesiliconetracheal prosthesis

Identifiers

PMID38534535
PMCPMC10967820

What OpenQuestion holds

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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.