1
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Steinegger K, Allmendinger L, Sturm S, Sieber-Schäfer F, Kromer APE, Müller-Caspary K, Winkeljann B, Merkel OM. Molecular Dynamics Simulations Elucidate the Molecular Organization of Poly(beta-amino ester) Based Polyplexes for siRNA Delivery. NANO LETTERS 2024; 24:15683-15692. [PMID: 39592142 PMCID: PMC11638951 DOI: 10.1021/acs.nanolett.4c04291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2024] [Revised: 11/01/2024] [Accepted: 11/04/2024] [Indexed: 11/28/2024]
Abstract
Cationic polymers are known to efficiently deliver nucleic acids to target cells by encapsulating the cargo into nanoparticles. However, the molecular organization of these nanoparticles is often not fully explored. Yet, this information is crucial to understand complex particle systems and the role influencing factors play at later stages of drug development. Coarse-grained molecular dynamics (CG-MD) enables modeling of systems that are the size of real nanoparticles, providing meaningful insights into molecular interactions between polymers and nucleic acids. Herein, the particle assembly of variations of an amphiphilic poly(beta-amino ester) (PBAE) with siRNA was simulated to investigate the influence of factors such as polymer lipophilicity and buffer conditions on the nanoparticle structure. Simulations were validated by wet lab methods including nuclear magnetic resonance (NMR) and align well with experimental findings. Therefore, this work emphasizes that CG-MD simulations can provide underlying explanations of experimentally observed nanoparticle properties by visualizing the nanoscale structure of polyplexes.
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Affiliation(s)
| | - Lars Allmendinger
- Department
of Pharmacy, Ludwig-Maximilians-University
Munich, 81377 Munich, Germany
| | - Sebastian Sturm
- Department
of Chemistry, Ludwig-Maximilians-University Munich, 81377 Munich, Germany
- Center
for NanoScience (CeNS), Ludwig-Maximilians-University
Munich, 80799 Munich, Germany
| | - Felix Sieber-Schäfer
- Department
of Pharmacy, Ludwig-Maximilians-University
Munich, 81377 Munich, Germany
| | - Adrian P. E. Kromer
- Department
of Pharmacy, Ludwig-Maximilians-University
Munich, 81377 Munich, Germany
| | - Knut Müller-Caspary
- Department
of Chemistry, Ludwig-Maximilians-University Munich, 81377 Munich, Germany
- Center
for NanoScience (CeNS), Ludwig-Maximilians-University
Munich, 80799 Munich, Germany
| | - Benjamin Winkeljann
- Department
of Pharmacy, Ludwig-Maximilians-University
Munich, 81377 Munich, Germany
- Center
for NanoScience (CeNS), Ludwig-Maximilians-University
Munich, 80799 Munich, Germany
- Comprehensive
Pneumology Center Munich (CPC-M), Helmholtz
Munich, German Center
for Lung Research (DZL), 81377 Munich, Germany
| | - Olivia M. Merkel
- Department
of Pharmacy, Ludwig-Maximilians-University
Munich, 81377 Munich, Germany
- Center
for NanoScience (CeNS), Ludwig-Maximilians-University
Munich, 80799 Munich, Germany
- Comprehensive
Pneumology Center Munich (CPC-M), Helmholtz
Munich, German Center
for Lung Research (DZL), 81377 Munich, Germany
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2
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Zhang J, Weng Y, Liu Y, Wang N, Feng S, Qiu S, Lin D. Molecular separation-assisted label-free SERS combined with machine learning for nasopharyngeal cancer screening and radiotherapy resistance prediction. JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY. B, BIOLOGY 2024; 257:112968. [PMID: 38955080 DOI: 10.1016/j.jphotobiol.2024.112968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 04/30/2024] [Accepted: 06/25/2024] [Indexed: 07/04/2024]
Abstract
Nasopharyngeal cancer (NPC) is a malignant tumor with high prevalence in Southeast Asia and highly invasive and metastatic characteristics. Radiotherapy is the primary strategy for NPC treatment, however there is still lack of effect method for predicting the radioresistance that is the main reason for treatment failure. Herein, the molecular profiles of patient plasma from NPC with radiotherapy sensitivity and resistance groups as well as healthy group, respectively, were explored by label-free surface enhanced Raman spectroscopy (SERS) based on surface plasmon resonance for the first time. Especially, the components with different molecular weight sizes were analyzed via the separation process, helping to avoid the possible missing of diagnostic information due to the competitive adsorption. Following that, robust machine learning algorithm based on principal component analysis and linear discriminant analysis (PCA-LDA) was employed to extract the feature of blood-SERS data and establish an effective predictive model with the accuracy of 96.7% for identifying the radiotherapy resistance subjects from sensitivity ones, and 100% for identifying the NPC subjects from healthy ones. This work demonstrates the potential of molecular separation-assisted label-free SERS combined with machine learning for NPC screening and treatment strategy guidance in clinical scenario.
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Affiliation(s)
- Jun Zhang
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350117, PR China
| | - Youliang Weng
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fujian Branch of Fudan University Shanghai Cancer Center, Fuzhou 350014, PR China
| | - Yi Liu
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350117, PR China
| | - Nan Wang
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350117, PR China
| | - Shangyuan Feng
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350117, PR China
| | - Sufang Qiu
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fujian Branch of Fudan University Shanghai Cancer Center, Fuzhou 350014, PR China.
| | - Duo Lin
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350117, PR China.
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3
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Sekar RP, Lawson JL, Wright ARE, McGrath C, Schadeck C, Kumar P, Tay JW, Dragavon J, Kumar R. Poly(l-glutamic acid) augments the transfection performance of lipophilic polycations by overcoming tradeoffs among cytotoxicity, pDNA delivery efficiency, and serum stability. RSC APPLIED POLYMERS 2024; 2:701-718. [PMID: 39035825 PMCID: PMC11255917 DOI: 10.1039/d4lp00085d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 04/27/2024] [Indexed: 07/23/2024]
Abstract
Polycations are scalable and affordable nanocarriers for delivering therapeutic nucleic acids. Yet, cationicity-dependent tradeoffs between nucleic acid delivery efficiency, cytotoxicity, and serum stability hinder clinical translation. Typically, the most efficient polycationic vehicles also tend to be the most toxic. For lipophilic polycations-which recruit hydrophobic interactions in addition to electrostatic interactions to bind and deliver nucleic acids-extensive chemical or architectural modifications sometimes fail to resolve intractable toxicity-efficiency tradeoffs. Here, we employ a facile post-synthetic polyplex surface modification strategy wherein poly(l-glutamic acid) (PGA) rescues toxicity, inhibits hemolysis, and prevents serum inhibition of lipophilic polycation-mediated plasmid (pDNA) delivery. Importantly, the sequence in which polycations, pDNA, and PGA are combined dictates pDNA conformations and spatial distribution. Circular dichroism spectroscopy reveals that PGA must be added last to polyplexes assembled from lipophilic polycations and pDNA; else, PGA will disrupt polycation-mediated pDNA condensation. Although PGA did not mitigate toxicity caused by hydrophilic PEI-based polycations, PGA tripled the population of transfected viable cells for lipophilic polycations. Non-specific adsorption of serum proteins abrogated pDNA delivery mediated by lipophilic polycations; however, PGA-coated polyplexes proved more serum-tolerant than uncoated polyplexes. Despite lower cellular uptake than uncoated polyplexes, PGA-coated polyplexes were imported into nuclei at higher rates. PGA also silenced the hemolytic activity of lipophilic polycations. Our work provides fundamental insights into how polyanionic coatings such as PGA transform intermolecular interactions between lipophilic polycations, nucleic acids, and serum proteins, and facilitate gentle yet efficient transgene delivery.
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Affiliation(s)
- Ram Prasad Sekar
- Chemical and Biological Engineering, Colorado School of Mines Golden CO 80401 USA
| | | | - Aryelle R E Wright
- Quantitative Biosciences and Engineering, Colorado School of Mines Golden CO 80401 USA
| | - Caleb McGrath
- Quantitative Biosciences and Engineering, Colorado School of Mines Golden CO 80401 USA
| | - Cesar Schadeck
- Materials Science, Colorado School of Mines Golden CO 80401 USA
| | - Praveen Kumar
- Shared Instrumentation Facility, Colorado School of Mines Golden CO USA
| | - Jian Wei Tay
- BioFrontiers Institute, University of Colorado Boulder CO 80303 USA
| | - Joseph Dragavon
- BioFrontiers Institute, University of Colorado Boulder CO 80303 USA
| | - Ramya Kumar
- Chemical and Biological Engineering, Colorado School of Mines Golden CO 80401 USA
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4
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Hartl N, Gabold B, Uhl P, Kromer A, Xiao X, Fricker G, Mier W, Liu R, Merkel OM. ApoE-functionalization of nanoparticles for targeted brain delivery-a feasible method for polyplexes? Drug Deliv Transl Res 2024; 14:1660-1677. [PMID: 38087181 PMCID: PMC11052808 DOI: 10.1007/s13346-023-01482-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/09/2023] [Indexed: 04/28/2024]
Abstract
The blood-brain barrier (BBB) poses a major obstacle in the treatment of all types of central nervous system (CNS) diseases. Small interfering RNA (siRNA) offers in principle a promising therapeutic approach by downregulating disease-related genes via RNA interference. However, the BBB is a formidable barrier for macromolecules such as nucleic acids. In an effort to develop a brain-targeted strategy for siRNA delivery systems formed by electrostatic interactions with cationic polymers (polyplexes (PXs)), we investigated the suitability of the well-known surfactant-based approach for Apolipoprotein E (ApoE)-functionalization of nanoparticles (NPs). The aim of this present work was to investigate if ApoE coating of siRNA PXs formed with cationic branched 25-kDa poly(ethyleneimine) (b-PEI) and nylon-3 polymers without or after precoating with polysorbate 80 (PS 80) would promote successful delivery across the BBB. We utilized highly hydrophobic NM0.2/CP0.8 nylon-3 polymers to evaluate the effects of hydrophobic cyclopentyl (CP) subunits on ApoE binding efficacy and observed successful ApoE binding with and without PS 80 precoating to the nylon-3 but not the PEI polyplexes. Accordingly, ApoE-coated nylon-3 polyplexes showed significantly increased uptake and gene silencing in U87 glioma cells but no benefit in vivo. In conclusion, further optimization of ApoE-functionalized polyplexes and more sophisticated in vitro models are required to achieve more successful in vitro-in vivo translation in future approaches.
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Affiliation(s)
- Natascha Hartl
- Pharmaceutical Technology and Biopharmaceutics, Ludwig-Maximilians-Universität, Butenandtstr. 5-13, 81377, Munich, Germany
| | - Bettina Gabold
- Pharmaceutical Technology and Biopharmaceutics, Ludwig-Maximilians-Universität, Butenandtstr. 5-13, 81377, Munich, Germany
| | - Philipp Uhl
- Pharmaceutical Technology and Biopharmaceutics, Ruprecht-Karls-University, Im Neuenheimer Feld 329, 69120, Heidelberg, Germany
| | - Adrian Kromer
- Pharmaceutical Technology and Biopharmaceutics, Ludwig-Maximilians-Universität, Butenandtstr. 5-13, 81377, Munich, Germany
| | - Ximian Xiao
- State Key Laboratory of Bioreactor Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China
| | - Gert Fricker
- Pharmaceutical Technology and Biopharmaceutics, Ruprecht-Karls-University, Im Neuenheimer Feld 329, 69120, Heidelberg, Germany
| | - Walter Mier
- Department of Nuclear Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Runhui Liu
- State Key Laboratory of Bioreactor Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China
| | - Olivia M Merkel
- Pharmaceutical Technology and Biopharmaceutics, Ludwig-Maximilians-Universität, Butenandtstr. 5-13, 81377, Munich, Germany.
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5
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Sancey L, Corvis Y, Begin-Colin S, Tsapis N. A special issue dedicated to the 2022 meeting of the French society for nanomedicine. Int J Pharm 2024; 654:124006. [PMID: 38492897 DOI: 10.1016/j.ijpharm.2024.124006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2024]
Affiliation(s)
- Lucie Sancey
- Université Grenoble Alpes, INSERM U1209, CNRS UMR5309, Institute for Advanced Biosciences, F-38000 Grenoble, France.
| | - Yohann Corvis
- Université Paris Cité, CNRS, INSERM, UTCBS, Chemical and Biological Technologies for Health Group (utcbs.u-paris.fr), F-75006 Paris, France.
| | - Sylvie Begin-Colin
- Institut de Physique et Chimie des Matériaux de Strasbourg (IPCMS), UMR-7504 CNRS-Université de Strasbourg, F-67034 Strasbourg, France.
| | - Nicolas Tsapis
- Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, F-91400 Orsay, France.
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6
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Porello I, Bono N, Candiani G, Cellesi F. Advancing nucleic acid delivery through cationic polymer design: non-cationic building blocks from the toolbox. Polym Chem 2024; 15:2800-2826. [DOI: 10.1039/d4py00234b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2025]
Abstract
The rational integration of non-cationic building blocks into cationic polymers can be devised to enhance the performance of the resulting gene delivery vectors, improving cell targeting behavior, uptake, endosomal escape, toxicity, and transfection efficiency.
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Affiliation(s)
- Ilaria Porello
- Department of Chemistry, Materials and Chemical Engineering “G. Natta”, Politecnico di Milano, Via Luigi Mancinelli 7, 20131, Milan, Italy
| | - Nina Bono
- Department of Chemistry, Materials and Chemical Engineering “G. Natta”, Politecnico di Milano, Via Luigi Mancinelli 7, 20131, Milan, Italy
| | - Gabriele Candiani
- Department of Chemistry, Materials and Chemical Engineering “G. Natta”, Politecnico di Milano, Via Luigi Mancinelli 7, 20131, Milan, Italy
| | - Francesco Cellesi
- Department of Chemistry, Materials and Chemical Engineering “G. Natta”, Politecnico di Milano, Via Luigi Mancinelli 7, 20131, Milan, Italy
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