3-Dimensional electrical impedance spectroscopy for

3-D histology for conductivity modeling Electrical impedance spectroscopy (EIS) Electrical impedance tomography (EIT) Intravascular microelectrode array Metabolically active plaque

Journal

Sensors and actuators. B, Chemical
ISSN: 0925-4005
Titre abrégé: Sens Actuators B Chem
Pays: Switzerland
ID NLM: 101149755

Informations de publication

Date de publication:
01 Mar 2022
Historique:
medline: 1 3 2022
pubmed: 1 3 2022
entrez: 11 10 2024
Statut: ppublish

Résumé

Electrical impedance spectroscopy (EIS) has been recognized to characterize oxidized low-density lipoprotein (oxLDL) in the metabolically active plaque. However, intravascular deployment of 3-D EIS-derived electrical impedance tomography (EIT) for endoluminal mapping of oxLDL-laden arterial walls remains an unmet clinical challenge. To this end, we designed the 6-point microelectrode arrays that were circumferentially configurated onto the balloon catheter for 15 intravascular EIS permutations. In parallel, we created the metabolically active plaques by performing partial ligation of right carotid artery in Yorkshire mini-pigs (n = 6 males), followed by demonstrating the plaque progression at baseline, 8 weeks, and 16 weeks of high-fat diet via computed tomography (CT) angiogram. Next, we deployed the 3-D EIS sensors to the right and left carotid arteries, and we demonstrated 3-D EIS mapping of metabolically active endolumen in the right but not left carotid arteries as evidenced by the positive E06 immunostaining for oxLDL-laden regions. By considering electrical conductivity (σ) and permittivity (ε) properties of collagen, lipid, and smooth muscle presence in the arterial wall, we further validated the 3-D EIS-derived EIT by reconstructing the histology of right and left carotid arteries for the finite element modeling of the oxLDL-laden endolumen, and we accurately predicted 3-D EIS mapping. Thus, we establish the capability of 3-D EIS-derived EIT to detect oxLDL-laden arterial walls with translational implication to predict metabolically active plaques prone to acute coronary syndromes or stroke.

Identifiants

pubmed: 39391284
doi: 10.1016/j.snb.2021.131152
pmc: PMC11466225
pii:
doi:

Types de publication

Journal Article

Langues

eng

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Parinaz Abiri (P)

Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Yuan Luo (Y)

State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China.

Zi-Yu Huang (ZY)

Department of Medical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.

Qingyu Cui (Q)

Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Sandra Duarte-Vogel (S)

Division of Laboratory Animal Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Mehrdad Roustaei (M)

Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Chih-Chiang Chang (CC)

Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Xiao Xiao (X)

Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Rene Packard (R)

Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Susana Cavallero (S)

Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Ramin Ebrahimi (R)

Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Peyman Benharash (P)

Division of Cardiac Surgery, Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Jun Chen (J)

Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Yu-Chong Tai (YC)

Department of Medical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.

Tzung K Hsiai (TK)

Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Department of Medical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.

Classifications MeSH