Targeted Gold Nanoparticles as an Indicator of Mechanical Damage in an Elastase Model of Aortic Aneurysm.


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:
Aug 2020
Historique:
received: 11 12 2019
accepted: 27 03 2020
pubmed: 3 4 2020
medline: 2 7 2021
entrez: 3 4 2020
Statut: ppublish

Résumé

Elastin is a key structural protein and its pathological degradation deterministic in aortic aneurysm (AA) outcomes. Unfortunately, using current diagnostic and clinical surveillance techniques the integrity of the elastic fiber network can only be assessed invasively. To address this, we employed fragmented elastin-targeting gold nanoparticles (EL-AuNPs) as a diagnostic tool for the evaluation of unruptured AAs. Electron dense EL-AuNPs were visualized within AAs using micro-computed tomography (micro-CT) and the corresponding Gold-to-Tissue volume ratios quantified. The Gold-to-Tissue volume ratios correlated strongly with the concentration (0, 0.5, or 10 U/mL) of infused porcine pancreatic elastase and therefore the degree of elastin damage. Hyperspectral mapping confirmed the spatial targeting of the EL-AuNPs to the sites of damaged elastin. Nonparametric Spearman's rank correlation indicated that the micro-CT-based Gold-to-Tissue volume ratios had a strong correlation with loaded (ρ = 0.867, p-val = 0.015) and unloaded (ρ = 0.830, p-val = 0.005) vessel diameter, percent dilation (ρ = 0.976, p-val = 0.015), circumferential stress (ρ = 0.673, p-val = 0.007), loaded (ρ = - 0.673, p-val = 0.017) and unloaded (ρ = - 0.697, p-val = 0.031) wall thicknesses, circumferential stretch (ρ = - 0.7234, p-val = 0.018), and lumen area compliance (ρ = - 0.831, p-val = 0.003). Likewise, in terms of axial force and axial stress vs. stretch, the post-elastase vessels were stiffer. Collectively, these findings suggest that, when combined with CT imaging, EL-AuNPs can be used as a powerful tool in the non-destructive estimation of mechanical and geometric features of AAs.

Identifiants

pubmed: 32240423
doi: 10.1007/s10439-020-02500-5
pii: 10.1007/s10439-020-02500-5
pmc: PMC7564014
mid: NIHMS1635352
doi:

Substances chimiques

Contrast Media 0
Gold 7440-57-5
Pancreatic Elastase EC 3.4.21.36

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2268-2278

Subventions

Organisme : NIGMS NIH HHS
ID : P30 GM131959
Pays : United States
Organisme : National Science Foundation
ID : CMMI-1760906
Organisme : NHLBI NIH HHS
ID : R01 HL145064
Pays : United States
Organisme : NIH HHS
ID : R01HL145064
Pays : United States
Organisme : NIH HHS
ID : R01HL133662
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL133662
Pays : United States

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Auteurs

Brooks A Lane (BA)

Biomedical Engineering Program, University of South Carolina, Columbia, SC, 29208, USA.

Xiaoying Wang (X)

Bioengineering Department, Clemson University, Clemson, SC, USA.

Susan M Lessner (SM)

Biomedical Engineering Program, University of South Carolina, Columbia, SC, 29208, USA.
Cell Biology and Anatomy Department, University of South Carolina, Columbia, SC, USA.

Naren R Vyavahare (NR)

Bioengineering Department, Clemson University, Clemson, SC, USA.

John F Eberth (JF)

Biomedical Engineering Program, University of South Carolina, Columbia, SC, 29208, USA. john.eberth@uscmed.sc.edu.
Cell Biology and Anatomy Department, University of South Carolina, Columbia, SC, USA. john.eberth@uscmed.sc.edu.

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