1
|
Roshanbinfar K, Schiffer M, Carls E, Angeloni M, Koleśnik-Gray M, Schruefer S, Schubert DW, Ferrazzi F, Krstić V, Fleischmann BK, Roell W, Engel FB. Electrically Conductive Collagen-PEDOT:PSS Hydrogel Prevents Post-Infarct Cardiac Arrhythmia and Supports hiPSC-Cardiomyocyte Function. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2403642. [PMID: 38653478 DOI: 10.1002/adma.202403642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Indexed: 04/25/2024]
Abstract
Myocardial infarction (MI) causes cell death, disrupts electrical activity, triggers arrhythmia, and results in heart failure, whereby 50-60% of MI-associated deaths manifest as sudden cardiac deaths (SCD). The most effective therapy for SCD prevention is implantable cardioverter defibrillators (ICDs). However, ICDs contribute to adverse remodeling and disease progression and do not prevent arrhythmia. This work develops an injectable collagen-PEDOT:PSS (poly(3,4-ethylenedioxythiophene) polystyrene sulfonate) hydrogel that protects infarcted hearts against ventricular tachycardia (VT) and can be combined with human induced pluripotent stem cell (hiPSC)-cardiomyocytes to promote partial cardiac remuscularization. PEDOT:PSS improves collagen gel formation, micromorphology, and conductivity. hiPSC-cardiomyocytes in collagen-PEDOT:PSS hydrogels exhibit near-adult sarcomeric length, improved contractility, enhanced calcium handling, and conduction velocity. RNA-sequencing data indicate enhanced maturation and improved cell-matrix interactions. Injecting collagen-PEDOT:PSS hydrogels in infarcted mouse hearts decreases VT to the levels of healthy hearts. Collectively, collagen-PEDOT:PSS hydrogels offer a versatile platform for treating cardiac injuries.
Collapse
Affiliation(s)
- Kaveh Roshanbinfar
- Experimental Renal and Cardiovascular Research, Department of Nephropathology, Institute of Pathology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Miriam Schiffer
- Institute of Physiology I, Life and Brain Center, Medical Faculty, University of Bonn, Germany
| | - Esther Carls
- Department of Cardiac Surgery, UKB, University of Bonn, Germany
| | - Miriam Angeloni
- Institute of Pathology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Maria Koleśnik-Gray
- Department of Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Staudtstr. 7, 91058, Erlangen, Germany
| | - Stefan Schruefer
- Institute of Polymer Materials, Department of Materials Science and Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Martensstr. 7, 91058, Erlangen, Germany
| | - Dirk W Schubert
- Institute of Polymer Materials, Department of Materials Science and Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Martensstr. 7, 91058, Erlangen, Germany
| | - Fulvia Ferrazzi
- Institute of Pathology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
- Department of Nephropathology, Institute of Pathology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Muscle Research Center Erlangen (MURCE), 91054, Erlangen, Germany
| | - Vojislav Krstić
- Department of Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Staudtstr. 7, 91058, Erlangen, Germany
| | - Bernd K Fleischmann
- Institute of Physiology I, Life and Brain Center, Medical Faculty, University of Bonn, Germany
| | - Wilhelm Roell
- Department of Cardiac Surgery, UKB, University of Bonn, Germany
| | - Felix B Engel
- Experimental Renal and Cardiovascular Research, Department of Nephropathology, Institute of Pathology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| |
Collapse
|
2
|
Roshanbinfar K, Kolesnik-Gray M, Angeloni M, Schruefer S, Fiedler M, Schubert DW, Ferrazzi F, Krstic V, Engel FB. Collagen Hydrogel Containing Polyethylenimine-Gold Nanoparticles for Drug Release and Enhanced Beating Properties of Engineered Cardiac Tissues. Adv Healthc Mater 2023; 12:e2202408. [PMID: 36976709 DOI: 10.1002/adhm.202202408] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 03/10/2023] [Indexed: 03/29/2023]
Abstract
Cardiac tissue engineering is a promising strategy to prevent heart failure. However, several issues remain unsolved, including efficient electrical coupling and incorporating factors to enhance tissue maturation and vascularization. Herein, a biohybrid hydrogel that enhances beating properties of engineered cardiac tissues and allows drug release concurrently is developed. Gold nanoparticles (AuNPs) with different sizes (18-241 nm) and surface charges (33.9-55.4 mV) are synthesized by reducing gold (III) chloride trihydrate using branched polyethyleneimine (bPEI). These nanoparticles increase gel stiffness from ≈91 to ≈146 kPa, enhance electrical conductivity of collagen hydrogels from ≈40 to 49-68 mS cm-1 , and allow slow and steady release of loaded drugs. Engineered cardiac tissues based on bPEI-AuNP-collagen hydrogels and either primary or human induced pluripotent stem cell (hiPSC)-derived cardiomyocytes show enhanced beating properties. hiPSC-derived cardiomyocytes exhibit more aligned and wider sarcomeres in bPEI-AuNP-collagen hydrogels compared to collagen hydrogels. Furthermore, the presence of bPEI-AuNPs result in advanced electrical coupling evidenced by synchronous and homogenous calcium flux throughout the tissue. RNA-seq analyses are in agreement with these observations. Collectively, this data demonstrate the potential of bPEI-AuNP-collagen hydrogels to improve tissue engineering approaches to prevent heart failure and possibly treat diseases of other electrically sensitive tissues.
Collapse
Affiliation(s)
- Kaveh Roshanbinfar
- Experimental Renal and Cardiovascular Research, Department of Nephropathology, Institute of Pathology, University of Erlangen-Nuremberg (FAU), Muscle Research Center Erlangen (MURCE), 91054, Erlangen, Germany
| | - Maria Kolesnik-Gray
- Department of Physics, University of Erlangen-Nuremberg (FAU), Staudtstr. 7, 91058, Erlangen, Germany
| | - Miriam Angeloni
- Institute of Pathology, University of Erlangen-Nuremberg (FAU), 91054, Erlangen, Germany
| | - Stefan Schruefer
- Institute of Polymer Materials, Department of Materials Science and Engineering, University of Erlangen-Nuremberg, 91058, Erlangen, Germany
| | - Maren Fiedler
- Experimental Renal and Cardiovascular Research, Department of Nephropathology, Institute of Pathology, University of Erlangen-Nuremberg (FAU), Muscle Research Center Erlangen (MURCE), 91054, Erlangen, Germany
| | - Dirk W Schubert
- Institute of Polymer Materials, Department of Materials Science and Engineering, University of Erlangen-Nuremberg, 91058, Erlangen, Germany
| | - Fulvia Ferrazzi
- Institute of Pathology, University of Erlangen-Nuremberg (FAU), 91054, Erlangen, Germany
- Department of Nephropathology, Institute of Pathology, University of Erlangen-Nuremberg (FAU), Muscle Research Center Erlangen (MURCE), 91054, Erlangen, Germany
| | - Vojislav Krstic
- Department of Physics, University of Erlangen-Nuremberg (FAU), Staudtstr. 7, 91058, Erlangen, Germany
| | - Felix B Engel
- Experimental Renal and Cardiovascular Research, Department of Nephropathology, Institute of Pathology, University of Erlangen-Nuremberg (FAU), Muscle Research Center Erlangen (MURCE), 91054, Erlangen, Germany
| |
Collapse
|
3
|
Yue Z, Slominski R, Bharti S, Chen JY. PAGER Web APP: An Interactive, Online Gene Set and Network Interpretation Tool for Functional Genomics. Front Genet 2022; 13:820361. [PMID: 35495152 PMCID: PMC9039620 DOI: 10.3389/fgene.2022.820361] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 03/17/2022] [Indexed: 12/30/2022] Open
Abstract
Functional genomics studies have helped researchers annotate differentially expressed gene lists, extract gene expression signatures, and identify biological pathways from omics profiling experiments conducted on biological samples. The current geneset, network, and pathway analysis (GNPA) web servers, e.g., DAVID, EnrichR, WebGestaltR, or PAGER, do not allow automated integrative functional genomic downstream analysis. In this study, we developed a new web-based interactive application, “PAGER Web APP”, which supports online R scripting of integrative GNPA. In a case study of melanoma drug resistance, we showed that the new PAGER Web APP enabled us to discover highly relevant pathways and network modules, leading to novel biological insights. We also compared PAGER Web APP’s pathway analysis results retrieved among PAGER, EnrichR, and WebGestaltR to show its advantages in integrative GNPA. The interactive online web APP is publicly accessible from the link, https://aimed-lab.shinyapps.io/PAGERwebapp/.
Collapse
Affiliation(s)
- Zongliang Yue
- Informatics Institute in the School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, United States
| | - Radomir Slominski
- Informatics Institute in the School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, United States
- Graduate Biomedical Sciences Program, The University of Alabama at Birmingham, Birmingham, AL, United States
| | - Samuel Bharti
- Informatics Institute in the School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, United States
| | - Jake Y. Chen
- Informatics Institute in the School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, United States
- *Correspondence: Jake Y. Chen,
| |
Collapse
|
4
|
Koch I, Andrade-Navarro M, Schulz MH, Zarnack K. Bioinformatics in theory and application - highlights of the 36th German Conference on Bioinformatics. Biol Chem 2021; 402:869-870. [PMID: 34192830 DOI: 10.1515/hsz-2021-0298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Ina Koch
- Molecular Bioinformatics, Institute of Computer Science, Goethe-University Frankfurt am Main, Robert-Mayer-Straße 11-15, 60325Frankfurt am Main, Germany
| | - Miguel Andrade-Navarro
- Computational Biology, Institute for Molecular Biology, Johannes Gutenberg University Mainz, Hans-Dieter-Hüsch-Weg 15, 55128Mainz, Germany
| | - Marcel H Schulz
- Computational Biology, Institute of Cardiovascular Regeneration, Goethe-University and Uniklinikum Frankfurt am Main, Theodor-Stern-Kai 7, 60590Frankfurt am Main, Germany
| | - Kathi Zarnack
- Computational RNA Biology, Buchmann Institute for Molecular Life Sciences, Goethe-University Frankfurt am Main, Max-von-Laue-Str. 15, 60438Frankfurt am Main, Germany
| |
Collapse
|