A Millifluidic Chamber for Controlled Shear Stress Testing: Application to Microbial Cultures.

Cell adhesion Computational fluid dynamics Flow-exposed cell cultures Human gut microbiota In vitro models

Journal

Annals of biomedical engineering
ISSN: 1573-9686
Titre abrégé: Ann Biomed Eng
Pays: United States
ID NLM: 0361512

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 24 04 2023
accepted: 03 09 2023
medline: 9 11 2023
pubmed: 15 9 2023
entrez: 15 9 2023
Statut: ppublish

Résumé

In vitro platforms such as bioreactors and microfluidic devices are commonly designed to engineer tissue models as well as to replicate the crosstalk between cells and microorganisms hosted in the human body. These systems promote nutrient supply and waste removal through culture medium recirculation; consequently, they intrinsically expose cellular structures to shear stress, be it a desired mechanical stimulus to drive the cell fate or a potential inhibitor for the model maturation. Assessing the impact of shear stress on cellular or microbial cultures thus represents a crucial step to define proper environmental conditions for in vitro models. In this light, the aim of this study was to develop a millifluidic device enabling to generate fully controlled shear stress profiles for quantitatively probing its influence on tissue or bacterial models, overcoming the limitations of previous reports proposing similar devices. Relying on this millifluidic tool, we present a systematic methodology to test how adherent cellular structures react to shear forces, which was applied to the case of microbial biofilms as a proof of concept. The results obtained suggest our approach as a suitable testbench to evaluate culture conditions in terms of shear stress faced by cells or microorganisms.

Identifiants

pubmed: 37713099
doi: 10.1007/s10439-023-03361-4
pii: 10.1007/s10439-023-03361-4
pmc: PMC10632311
doi:

Substances chimiques

Culture Media 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2923-2933

Informations de copyright

© 2023. The Author(s).

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Auteurs

Francesco Biagini (F)

Research Center "E. Piaggio", University of Pisa, Largo L. Lazzarino 1, 56122, Pisa, Italy.

Ermes Botte (E)

Research Center "E. Piaggio", University of Pisa, Largo L. Lazzarino 1, 56122, Pisa, Italy.
Department of Information Engineering, University of Pisa, Via G. Caruso 16, 56122, Pisa, Italy.

Marco Calvigioni (M)

Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 35, 56123, Pisa, Italy.

Carmelo De Maria (C)

Research Center "E. Piaggio", University of Pisa, Largo L. Lazzarino 1, 56122, Pisa, Italy.
Department of Information Engineering, University of Pisa, Via G. Caruso 16, 56122, Pisa, Italy.

Diletta Mazzantini (D)

Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 35, 56123, Pisa, Italy.

Francesco Celandroni (F)

Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 35, 56123, Pisa, Italy.

Emilia Ghelardi (E)

Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 35, 56123, Pisa, Italy.

Giovanni Vozzi (G)

Research Center "E. Piaggio", University of Pisa, Largo L. Lazzarino 1, 56122, Pisa, Italy. giovanni.vozzi@unipi.it.
Department of Information Engineering, University of Pisa, Via G. Caruso 16, 56122, Pisa, Italy. giovanni.vozzi@unipi.it.

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