Electrical Impedance-Based Characterization of Hepatic Tissue with Early-Stage Fibrosis.


Journal

Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191

Informations de publication

Date de publication:
13 Feb 2022
Historique:
received: 20 01 2022
revised: 09 02 2022
accepted: 11 02 2022
entrez: 24 2 2022
pubmed: 25 2 2022
medline: 1 4 2022
Statut: epublish

Résumé

Liver fibrosis is a key pathological precondition for hepatocellular carcinoma in which the severity is confidently correlated with liver cancer. Liver fibrosis, characterized by gradual cell loss and excessive extracellular matrix deposition, can be reverted if detected at the early stage. The gold standard for staging and diagnosis of liver fibrosis is undoubtedly biopsy. However, this technique needs careful sample preparation and expert analysis. In the present work, an ex vivo, minimally destructive, label-free characterization of liver biopsies is presented. Through a custom-made experimental setup, liver biopsies of bile-duct-ligated and sham-operated mice were measured at 8, 15, and 21 days after the procedure. Changes in impedance were observed with the progression of fibrosis, and through data fitting, tissue biopsies were approximated to an equivalent RC circuit model. The model was validated by means of 3D hepatic cell culture measurement, in which the capacitive part of impedance was proportionally associated with cell number and the resistive one was proportionally associated with the extracellular matrix. While the sham-operated samples presented a decrease in resistance with time, the bile-duct-ligated ones exhibited an increase in this parameter with the evolution of fibrosis. Moreover, since the largest difference in resistance between healthy and fibrotic tissue, of around 2 kΩ, was found at 8 days, this method presents great potential for the study of fibrotic tissue at early stages. Our data point out the great potential of exploiting the proposed needle setup in clinical applications.

Identifiants

pubmed: 35200376
pii: bios12020116
doi: 10.3390/bios12020116
pmc: PMC8869865
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Regione Piemonte
ID : Poli di Innovazione POR-FES 2014-2020 246 (EPATOCARE) and Piattaforma Tecnologica "Salute e Benessere" (EV-ER).

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Auteurs

Susana Fuentes-Vélez (S)

Department of Electronics and Telecommunications (DET), Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Turin, Italy.

Sharmila Fagoonee (S)

Institute of Biostructure and Bioimaging (CNR), Molecular Biotechnology Center (MBC), Via Nizza, 52, 10126 Turin, Italy.

Alessandro Sanginario (A)

Department of Electronics and Telecommunications (DET), Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Turin, Italy.

Marco Pizzi (M)

Eltek S.p.A, Strada Valenza 5/A, 15033 Casale Monferrato, Italy.

Fiorella Altruda (F)

Department of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center (MBC), University of Turin, Via Nizza, 52, 10126 Turin, Italy.

Danilo Demarchi (D)

Department of Electronics and Telecommunications (DET), Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Turin, Italy.

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Classifications MeSH