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Costa RR, Domínguez-Arca V, Velasco B, Reis RL, Rodríguez-Cabello JC, Pashkuleva I, Taboada P, Prieto G. Cholesterol Conjugated Elastin-like Recombinamers: Molecular Dynamics Simulations, Conformational Changes, and Bioactivity. ACS APPLIED MATERIALS & INTERFACES 2024. [PMID: 39561189 DOI: 10.1021/acsami.4c07285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2024]
Abstract
Current models for elastin-like recombinamer (ELR) design struggle to predict the effects of nonprotein fused materials on polypeptide conformation and temperature-responsive properties. To address this shortage, we investigated the novel functionalization of ELRs with cholesterol (CTA). We employed GROMACS computational molecular dynamic simulations complemented with experimental evidence to validate the in silico predictions. The ELRCTA was biosynthesized and characterized by using fluorescence assays, circular dichroism, dynamic light scattering, and differential scanning calorimetry. The in silico and in vitro data showed that CTA promotes the formation of intramolecular hydrogen bonds that favor β-sheet secondary structures. Compared with an unmodified ELRVKV, CTA enhanced the hydrophobicity and stability of the system, allowing the formation of monodisperse nanoaggregates at physiologically relevant temperatures. Importantly, calorimetry assays revealed that ELRCTA interacted and intercalated with the lipid bilayers of the DPPC liposomes. To demonstrate the implications of these changes for biomedical applications, ELRCTA and DPPC-ELRCTA hybrid nanoparticles were tested with cancer and immune cell lines. Interactions with the cell membranes demonstrated a synergistic effect of the composition and size of the modified recombinamer aggregates on the internalization. The results indicated the potential use of ELR-based nanoparticles for localized and systemic drug delivery. This work sets a new precedent to design elastin-inspired biomaterials with predictable self-assembly properties and develop novel drug delivery strategies.
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Affiliation(s)
- Rui R Costa
- 3B's Research Group, I3Bs─Research Institute on Biomaterials, Biodegradables, and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, AvePark, Parque de Ciência e Tecnologia, Zona Industrial da Gandra, 4805-694 Barco, Guimarães, Portugal
- ICVS/3B's, PT Government Associate Laboratory, 4805-694 Braga, Guimarães, Portugal
- Colloids and Polymers Physics Group, Department of Applied Physics, Faculty of Physics and Institute of Materials (iMATUS) and Institute of Health Research (IDIS), University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Vicente Domínguez-Arca
- Biosystems and Bioprocess Engineering (Bio2Eng) Group, Institute of Marine Research of Spanish Research Council, IIM-CSIC, 36208 Vigo, Spain
- Colloids Physical and Biophysical Chemistry, Bielefeld University, Universitätsstr. 25, Bielefeld 33615, Germany
| | - Brenda Velasco
- Colloids and Polymers Physics Group, Department of Applied Physics, Faculty of Physics and Institute of Materials (iMATUS) and Institute of Health Research (IDIS), University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Rui L Reis
- 3B's Research Group, I3Bs─Research Institute on Biomaterials, Biodegradables, and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, AvePark, Parque de Ciência e Tecnologia, Zona Industrial da Gandra, 4805-694 Barco, Guimarães, Portugal
- ICVS/3B's, PT Government Associate Laboratory, 4805-694 Braga, Guimarães, Portugal
| | - José Carlos Rodríguez-Cabello
- Bioforge Lab, Group for Advanced Materials and Nanobiotechnology, Biomedical Networking Research Center of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Edificio LUCIA, Universidad de Valladolid, 47011 Valladolid, Spain
| | - Iva Pashkuleva
- 3B's Research Group, I3Bs─Research Institute on Biomaterials, Biodegradables, and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, AvePark, Parque de Ciência e Tecnologia, Zona Industrial da Gandra, 4805-694 Barco, Guimarães, Portugal
- ICVS/3B's, PT Government Associate Laboratory, 4805-694 Braga, Guimarães, Portugal
| | - Pablo Taboada
- Colloids and Polymers Physics Group, Department of Applied Physics, Faculty of Physics and Institute of Materials (iMATUS) and Institute of Health Research (IDIS), University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Gerardo Prieto
- Colloids and Polymers Physics Group, Department of Applied Physics, Faculty of Physics and Institute of Materials (iMATUS) and Institute of Health Research (IDIS), University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
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Lin CH, Tang X, Chen P, Luo SC. Unraveling the Adhesion Behavior of Different Cell Lines on Biomimetic PEDOT Interfaces: The Role of Surface Morphology and Antifouling Properties. ACS APPLIED BIO MATERIALS 2023; 6:5695-5707. [PMID: 37971532 DOI: 10.1021/acsabm.3c00833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
The poly(3,4-ethylenedioxythiophene) (PEDOT) interface, renowned for its biocompatibility and intrinsic conductivity, holds substantial potential in biosensing and cellular modulation. Through strategic functionalization, PEDOT derivatives can be adaptable for multifaceted applications. Notably, integrating phosphorylcholine (PC) groups into PEDOT, mimicking the hydrophilic headgroups from cell membranes, confers exceptional antifouling properties on the coating. This study systematically investigated biomolecule interactions with distinct forms of PEDOT, incorporating variations in surface modifications and structure. Zwitterionic PEDOT-PC was electropolymerized on smooth and nanostructured surfaces using various feeding ratios in electrolytes to finely control the antifouling properties of the interface. Precise electropolymerization conditions governed the attainment of smooth and nanostructured filamentous surfaces. The study employed a quartz crystal microbalance with dissipation (QCM-D) to assess protein binding behavior. Bovine serum albumin (BSA), lysozyme (LYZ), cytochrome c (cyt c), and fibronectin (FN) were used to evaluate their binding affinities for PEDOT films. FN, a pivotal extracellular matrix component, was included for connecting to cell adhesion behavior. Furthermore, the cellular adhesion behaviors on PEDOT interfaces were evaluated. Three cell lines─MG-63 osteosarcoma, HeLa cervical cancer, and fibroblast NIH/3T3 were examined. The presence of PC moieties significantly altered the adhesive response, including the number of attached cells, their morphologies, and nucleus shrinkage. MG-63 cells exhibited the highest tolerance for PC moieties. A feeding ratio of PEDOT-PC exceeding 70% resulted in cell apoptosis. This study contributes to understanding biomolecule adsorption on PEDOT surfaces of diverse morphologies and degrees of the antifouling moiety. Meanwhile, it also sheds light on the responses of various cell types.
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Affiliation(s)
- Chia-Hsin Lin
- Department of Materials Science and Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
| | - Xiaofang Tang
- Research Center for Applied Sciences, Academia Sinica, Taipei 11529, Taiwan
| | - Peilin Chen
- Research Center for Applied Sciences, Academia Sinica, Taipei 11529, Taiwan
- Institute of Physics, Academia Sinica, Taipei 11529, Taiwan
| | - Shyh-Chyang Luo
- Department of Materials Science and Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes (NHRI), Miaoli County 35053, Taiwan
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Barros MT, Veletić M, Kanada M, Pierobon M, Vainio S, Balasingham I, Balasubramaniam S. Molecular Communications in Viral Infections Research: Modeling, Experimental Data, and Future Directions. IEEE TRANSACTIONS ON MOLECULAR, BIOLOGICAL, AND MULTI-SCALE COMMUNICATIONS 2021; 7:121-141. [PMID: 35782714 PMCID: PMC8544950 DOI: 10.1109/tmbmc.2021.3071780] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 03/09/2021] [Accepted: 03/15/2021] [Indexed: 12/22/2022]
Abstract
Hundreds of millions of people worldwide are affected by viral infections each year, and yet, several of them neither have vaccines nor effective treatment during and post-infection. This challenge has been highlighted by the COVID-19 pandemic, showing how viruses can quickly spread and impact society as a whole. Novel interdisciplinary techniques must emerge to provide forward-looking strategies to combat viral infections, as well as possible future pandemics. In the past decade, an interdisciplinary area involving bioengineering, nanotechnology and information and communication technology (ICT) has been developed, known as Molecular Communications. This new emerging area uses elements of classical communication systems to molecular signalling and communication found inside and outside biological systems, characterizing the signalling processes between cells and viruses. In this paper, we provide an extensive and detailed discussion on how molecular communications can be integrated into the viral infectious diseases research, and how possible treatment and vaccines can be developed considering molecules as information carriers. We provide a literature review on molecular communications models for viral infection (intra-body and extra-body), a deep analysis on their effects on immune response, how experimental can be used by the molecular communications community, as well as open issues and future directions.
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Affiliation(s)
- Michael Taynnan Barros
- CBIG/BioMediTechTampere University33014TampereFinland
- School of Computer Science and Electronic EngineeringUniversity of EssexColchesterCO4 3SQU.K.
| | - Mladen Veletić
- Intervention CentreOslo University Hospital0424OsloNorway
- Department of Electronic SystemsNorwegian University of Science and Technology7491TrondheimNorway
| | - Masamitsu Kanada
- Department of Pharmacology and ToxicologyInstitute for Quantitative Health Science and Engineering, Michigan State UniversityEast LansingMI48824USA
| | - Massimiliano Pierobon
- Department of Computer Science and EngineeringUniversity of Nebraska–LincolnLincolnNE68588USA
| | - Seppo Vainio
- InfoTech OuluKvantum Institute, Faculty of Biochemistry and Molecular Medicine, Laboratory of Developmental Biology, Oulu University90570OuluFinland
| | - Ilangko Balasingham
- Intervention CentreOslo University Hospital0424OsloNorway
- Department of Electronic SystemsNorwegian University of Science and Technology7491TrondheimNorway
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Benítez L, Barberis L, Vellón L, Condat CA. Understanding the influence of substrate when growing tumorspheres. BMC Cancer 2021; 21:276. [PMID: 33722191 PMCID: PMC7962376 DOI: 10.1186/s12885-021-07918-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 02/15/2021] [Indexed: 11/18/2022] Open
Abstract
Background Cancer stem cells are important for the development of many solid tumors. These cells receive promoting and inhibitory signals that depend on the nature of their environment (their niche) and determine cell dynamics. Mechanical stresses are crucial to the initiation and interpretation of these signals. Methods A two-population mathematical model of tumorsphere growth is used to interpret the results of a series of experiments recently carried out in Tianjin, China, and extract information about the intraspecific and interspecific interactions between cancer stem cell and differentiated cancer cell populations. Results The model allows us to reconstruct the time evolution of the cancer stem cell fraction, which was not directly measured. We find that, in the presence of stem cell growth factors, the interspecific cooperation between cancer stem cells and differentiated cancer cells induces a positive feedback loop that determines growth, independently of substrate hardness. In a frustrated attempt to reconstitute the stem cell niche, the number of cancer stem cells increases continuously with a reproduction rate that is enhanced by a hard substrate. For growth on soft agar, intraspecific interactions are always inhibitory, but on hard agar the interactions between stem cells are collaborative while those between differentiated cells are strongly inhibitory. Evidence also suggests that a hard substrate brings about a large fraction of asymmetric stem cell divisions. In the absence of stem cell growth factors, the barrier to differentiation is broken and overall growth is faster, even if the stem cell number is conserved. Conclusions Our interpretation of the experimental results validates the centrality of the concept of stem cell niche when tumor growth is fueled by cancer stem cells. Niche memory is found to be responsible for the characteristic population dynamics observed in tumorspheres. The model also shows why substratum stiffness has a deep influence on the behavior of cancer stem cells, stiffer substrates leading to a larger proportion of asymmetric doublings. A specific condition for the growth of the cancer stem cell number is also obtained Supplementary Information The online version contains supplementary material available at (10.1186/s12885-021-07918-1).
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Affiliation(s)
- Lucía Benítez
- Instituto de Física Enrique Gaviola, CONICET, and Facultad de Matemática, Astronomía, Física y Computación, Universidad Nacional de Córdoba, Córdoba, X5000 HUA, Argentina
| | - Lucas Barberis
- Instituto de Física Enrique Gaviola, CONICET, and Facultad de Matemática, Astronomía, Física y Computación, Universidad Nacional de Córdoba, Córdoba, X5000 HUA, Argentina.
| | - Luciano Vellón
- Instituto de Biología y Medicina Experimental, CONICET., Buenos Aires, C1428 ADN, Argentina
| | - Carlos A Condat
- Instituto de Física Enrique Gaviola, CONICET, and Facultad de Matemática, Astronomía, Física y Computación, Universidad Nacional de Córdoba, Córdoba, X5000 HUA, Argentina
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