A Three-Dimensional Valve-on-Chip Microphysiological System Implicates Cell Cycle Progression, Cholesterol Metabolism and Protein Homeostasis in Early Calcific Aortic Valve Disease Progression.

Collagen-GAG hydrogel microphysiological system multiphoton microscopy organ-on-chip protein expression valve cell metabolism

Journal

Acta biomaterialia
ISSN: 1878-7568
Titre abrégé: Acta Biomater
Pays: England
ID NLM: 101233144

Informations de publication

Date de publication:
29 Jul 2024
Historique:
received: 11 09 2023
revised: 18 07 2024
accepted: 23 07 2024
medline: 1 8 2024
pubmed: 1 8 2024
entrez: 31 7 2024
Statut: aheadofprint

Résumé

Calcific aortic valve disease (CAVD) is one of the most common forms of valvulopathy, with a 50% elevated risk of a fatal cardiovascular event, and greater than 15,000 annual deaths in North America alone. The treatment standard is valve replacement as early diagnostic, mitigation, and drug strategies remain underdeveloped. The development of early diagnostic and therapeutic strategies requires the fabrication of effective in vitro valve mimetic models to elucidate early CAVD mechanisms. In this study, we developed a multilayered physiologically relevant 3D valve-on-chip (VOC) system that incorporated aortic valve mimetic extracellular matrix (ECM), porcine aortic valve interstitial cell (VIC) and endothelial cell (VEC) co-culture and dynamic mechanical stimuli. Collagen and glycosaminoglycan (GAG) based hydrogels were assembled in a bilayer to mimic healthy or diseased compositions of the native fibrosa and spongiosa. Multiphoton imaging and proteomic analysis of healthy and diseased VOCs were performed. Collagen-based bilayered hydrogel maintained the phenotype of the VICs. Proteins related to cellular processes like cell cycle progression, cholesterol biosynthesis, and protein homeostasis were found to be significantly altered and correlated with changes in cell metabolism in diseased VOCs. This study suggested that diseased VOCs may represent an early, adaptive disease initiation stage, which was corroborated by human aortic valve proteomic assessment. In this study, we developed a collagen-based bilayered hydrogel to mimic healthy or diseased compositions of the native fibrosa and spongiosa layers. When the gels were assembled in a VOC with VECs and VICs, the diseased VOCs revealed key insights about the CAVD initiation process. Calcific aortic valve disease (CAVD) elevates the risk of death due to cardiovascular pathophysiology by 50%, however, prevention and mitigation strategies are lacking, clinically. Developing tools to assess early disease would significantly aid in the prevention of disease and in the development of therapeutics. Previously, studies have utilized collagen and glycosaminoglycan-based hydrogels for valve cell co-cultures, valve cell co-cultures in dynamic environments, and inorganic polymer-based multilayered hydrogels; however, these approaches have not been combined to make a physiologically relevant model for CAVD studies. We fabricated a bi-layered hydrogel that closely mimics the aortic valve and used it for valve cell co-culture in a dynamic platform to gain mechanistic insights into the CAVD initiation process using proteomic and multiphoton imaging assessment.

Sections du résumé

BACKGROUND BACKGROUND
Calcific aortic valve disease (CAVD) is one of the most common forms of valvulopathy, with a 50% elevated risk of a fatal cardiovascular event, and greater than 15,000 annual deaths in North America alone. The treatment standard is valve replacement as early diagnostic, mitigation, and drug strategies remain underdeveloped. The development of early diagnostic and therapeutic strategies requires the fabrication of effective in vitro valve mimetic models to elucidate early CAVD mechanisms.
METHODS METHODS
In this study, we developed a multilayered physiologically relevant 3D valve-on-chip (VOC) system that incorporated aortic valve mimetic extracellular matrix (ECM), porcine aortic valve interstitial cell (VIC) and endothelial cell (VEC) co-culture and dynamic mechanical stimuli. Collagen and glycosaminoglycan (GAG) based hydrogels were assembled in a bilayer to mimic healthy or diseased compositions of the native fibrosa and spongiosa. Multiphoton imaging and proteomic analysis of healthy and diseased VOCs were performed.
RESULTS RESULTS
Collagen-based bilayered hydrogel maintained the phenotype of the VICs. Proteins related to cellular processes like cell cycle progression, cholesterol biosynthesis, and protein homeostasis were found to be significantly altered and correlated with changes in cell metabolism in diseased VOCs. This study suggested that diseased VOCs may represent an early, adaptive disease initiation stage, which was corroborated by human aortic valve proteomic assessment.
CONCLUSIONS CONCLUSIONS
In this study, we developed a collagen-based bilayered hydrogel to mimic healthy or diseased compositions of the native fibrosa and spongiosa layers. When the gels were assembled in a VOC with VECs and VICs, the diseased VOCs revealed key insights about the CAVD initiation process.
STATEMENT OF SIGNIFICANCE CONCLUSIONS
Calcific aortic valve disease (CAVD) elevates the risk of death due to cardiovascular pathophysiology by 50%, however, prevention and mitigation strategies are lacking, clinically. Developing tools to assess early disease would significantly aid in the prevention of disease and in the development of therapeutics. Previously, studies have utilized collagen and glycosaminoglycan-based hydrogels for valve cell co-cultures, valve cell co-cultures in dynamic environments, and inorganic polymer-based multilayered hydrogels; however, these approaches have not been combined to make a physiologically relevant model for CAVD studies. We fabricated a bi-layered hydrogel that closely mimics the aortic valve and used it for valve cell co-culture in a dynamic platform to gain mechanistic insights into the CAVD initiation process using proteomic and multiphoton imaging assessment.

Identifiants

pubmed: 39084496
pii: S1742-7061(24)00417-3
doi: 10.1016/j.actbio.2024.07.036
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

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

Ishita Tandon (I)

Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR.

Alan Woessner (A)

Arkansas Integrative Metabolic Research Center, University of Arkansas, Fayetteville, AR.

Laís A Ferreira (LA)

Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR.

Christine Shamblin (C)

Scripps Research Institute, La Jolla, CA.

Gustavo Vaca-Diez (G)

Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR.

Amanda Walls (A)

Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR.

Patrick Kuczwara (P)

Department of Biological and Agricultural Engineering, Materials Science & Engineering, University of Arkansas, Fayetteville, AR.

Alexis Applequist (A)

Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR.

Denise F Nascimento (DF)

Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR.

Swastika Tandon (S)

Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR.

Jin-Woo Kim (JW)

Department of Biological and Agricultural Engineering, Materials Science & Engineering, University of Arkansas, Fayetteville, AR.

Manuel Rausch (M)

Departments of Aerospace Engineering and Engineering Mechanics and Biomedical Engineering, Institute for Computational Engineering and Science, University of Texas at Austin, Austin, TX.

Tomasz Timek (T)

Meijer Heart and Vascular Institute at Spectrum Health, Grand Rapids, MI.

Muralidhar Padala (M)

Division of Cardiothoracic Surgery, Joseph P. Whitehead Department of Surgery, Emory University, Atlanta, GA.

Michael T Kinter (MT)

Aging & Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK.

Dennis Province (D)

Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR.

Stephanie D Byrum (SD)

Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR.

Kyle P Quinn (KP)

Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR; Arkansas Integrative Metabolic Research Center, University of Arkansas, Fayetteville, AR.

Kartik Balachandran (K)

Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR. Electronic address: kbalacha@uark.edu.

Classifications MeSH