Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2024 Mar 1.
Published in final edited form as: Wiley Interdiscip Rev Nanomed Nanobiotechnol. 2022 Oct 3;15(2):e1853. doi: 10.1002/wnan.1853

Nonviral nanoparticle gene delivery into the CNS for neurological disorders and brain cancer applications

Joanna Yang 1, Kathryn M Luly 1, Jordan J Green 1
PMCID: PMC10023321  NIHMSID: NIHMS1835961  PMID: 36193561

Abstract

Nonviral nanoparticles have emerged as an attractive alternative to viral vectors for gene therapy applications, utilizing a range of lipid-based, polymeric, and inorganic materials. These materials can either encapsulate or be functionalized to bind nucleic acids and protect them from degradation. To effectively elicit changes to gene expression, the nanoparticle carrier needs to undergo a series of steps intracellularly, from interacting with the cellular membrane to facilitate cellular uptake to endosomal escape and nucleic acid release. Adjusting physiochemical properties of the nanoparticles, such as size, charge, and targeting ligands, can improve cellular uptake and ultimately gene delivery. Applications in the central nervous system (CNS; i.e., neurological diseases, brain cancers) face further extracellular barriers for a gene-carrying nanoparticle to surpass, with the most significant being the blood–brain barrier (BBB). Approaches to overcome these extracellular challenges to deliver nanoparticles into the CNS include systemic, intracerebroventricular, intrathecal, and intranasal administration. This review describes and compares different biomaterials for nonviral nanoparticle-mediated gene therapy to the CNS and explores challenges and recent preclinical and clinical developments in overcoming barriers to nanoparticle-mediated delivery to the brain.

This article is categorized under:

Therapeutic Approaches and Drug Discovery > Nanomedicine for Neurological Disease

Therapeutic Approaches and Drug Discovery > Emerging Technologies

Nanotechnology Approaches to Biology > Nanoscale Systems in Biology

Keywords: brain, gene delivery, LNP, nanoparticle, polymer

1 |. INTRODUCTION

Gene therapies aim to treat diseases by replacing or modifying defective proteins, altering protein expression, or introducing therapeutic proteins, either transiently or long-term. As the molecular mechanisms underlying many diseases continue to be uncovered, novel targets amenable to gene therapy techniques are revealed. Moving beyond transient expression of genetically encoded functional proteins or transient knockdown of defective proteins, gene editing techniques such as Zinc finger nucleases (ZFNs), transcription activator-like effector nuclease (TALENs), and most excitingly CRISPR/Cas are all examples of new biotechnological methods to edit genes for long-term functionality (Khalil, 2020; Khan, 2019). In some disease profiles, it may be beneficial to express more of a certain protein, such as CAL (cystic fibrosis transmembrane conductance regulator-associated ligand) to treat Parkinson’s disease (W. Y. Luo et al., 2019). Directly injecting the protein of interest is challenging due to issues such as protein instability, toxicity, or poor biodistribution profiles (Goswami et al., 2019; Sung & Kim, 2019). Alternatively, reduction of disease-causing proteins may be favorable, as is the case of silencing CHCHD10, a mitochondrial protein linked to amyotrophic lateral sclerosis (Burstein et al., 2018). Delivery of genetic material encoding the protein of interest is an attractive alternative when proteins cannot be delivered directly and/or when the target of action is intracellular. Gene delivery approaches also have great promise for next-generation vaccines, as have been highlighted by the response to the COVID-19 pandemic. Additionally, gene delivery technology can also be used for epigenetic engineering to make lasting changes to gene expression without making a permanent change to a host’s genome sequence.

The central challenge for gene therapy has been safe and effective delivery. Naked nucleic acids are susceptible to degradation by nucleases found extracellularly and in the cytosol (Wadhwa et al., 2020). Cellular uptake of nucleic acids is poor, and they are immunostimulatory (Tzeng & Green, 2018). Scientists, engineers, and clinicians have worked on multiple approaches to gene therapy spanning from physical techniques, such as electroporation (Sokołowska & Błachnio-Zabielska, 2019), to the use of viral vectors, such as adeno-associated virus (AAV; Darrow, 2019), to chemical approaches, such as nanoparticles (S. Zhang, Cheng, et al., 2021). The majority of gene therapy clinical trials, approximately 70%, have utilized viral methods of delivery (S. Ghosh et al., 2020). Viruses, which can be considered as biological nanoparticles, serve as attractive vehicles for intracellular delivery because they have evolved the mechanisms necessary to transfect human cells efficiently (Shirley et al., 2020). Viral gene therapy vectors include AAV, adenovirus, retrovirus, lentivirus, and herpes simplex virus-1. Among these, AAV has been the most used vector in FDA approved gene therapies (Bulcha et al., 2021). These therapies include Glybera, a treatment for lipoprotein lipase deficiency, Luxturna, a treatment for Leber congenital amaurosis, and Zolgensma, a treatment for spinal muscular atrophy (Keeler & Flotte, 2019).

However, there are major drawbacks associated with viral gene therapies including immunogenicity, limited cargo size, and manufacturing expense (Sainz-Ramos et al., 2021). Viral vectors may be recognized by the immune system through pattern recognition receptors, or a patient may already have neutralizing antibodies for a viral antigen, triggering an immune response in both situations and limiting the ability for redosing (Shirley et al., 2020). The packaging capacity of some viral vectors can also be as small as five kilobases, making it difficult to deliver larger genes of interest (S. Ghosh et al., 2020). Manufacturing can also be costly; for example, Glybera was approved by the EMA in 2012 and priced at over $1.2 million per patient, but has since been removed from the market due to its costliness and low use (Shahryari et al., 2019). Nonviral nanoparticles address many of the concerns of viral vectors and will be discussed in depth in this review. While there are many applications for gene delivery nanoparticles, spanning uses from rare monogenic disorders to common infectious diseases, the focus of this review will be on applications to the central nervous system (CNS) for treating neurological disorders and brain cancer.

2 |. NONVIRAL NANOMATERIALS IN GENE THERAPY: LIPID-BASED, POLYMER-BASED, AND INORGANIC NANOPARTICLES

Nonviral particles are attractive gene delivery materials, due to lower immunogenicity, higher genetic payload, ease of bulk manufacturing, and lower costs, as compared to their viral counterparts (Gantenbein et al., 2020; Zu & Gao, 2021). There are three broad categories of nonviral nanoparticles used for gene delivery: (i) lipid-based, (ii) polymer-based, and (iii) inorganic nanoparticles (Ramamoorth & Narvekar, 2015).

2.1 |. Lipid-based nanoparticles

Lipid-based nanoparticles (LBNPs) are composed of lipids and nucleic acids that interact to form a particle for intracellular delivery. LBNPs include liposomes, solid lipid nanoparticles (SLNP), and lipid nanoparticles (LNPs; Figure 1a). Liposomes have been studied extensively as vehicles for drug and gene delivery and are made of phospholipids which create a bilayer capable of encapsulating hydrophobic or hydrophilic cargo within the bilayer or aqueous core, respectively (García-Pinel et al., 2019; Tenchov et al., 2021). Tenchov et al. provide a comprehensive review of currently available liposomal formulations for drug delivery (Tenchov et al., 2021). SLNPs and LNPs differ from liposomes in that their lipids do not create a bilayer to form an aqueous core. SLNPs are made of lipids in the solid state, and are much more stable compared to liposomes (Tenchov et al., 2021). LNPs can contain a mixture of lipids in the solid and liquid states including cationic lipids, ionizable lipids, neutral lipids, and cholesterol as common components. Cationic lipids have positive head groups, and lipids such as 1,2-di-O-octadecenyl-3-trimethylammonium-propane (DOTMA) and 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE) have been commercialized as reagents for nucleic acid delivery (Balazs & Godbey, 2010; Malone, 1989). The positively charged, hydrophobic head of cationic lipids can bind to negatively charged nucleic acids (Blakney et al., 2019; García-Pinel et al., 2019). Ionizable lipids, such as C12–200, have reduced charge at neural pH to improve the safety profile and are sensitive to changes in pH, making them positively charged in the endosome to lead to endosomal escape (Hajj & Whitehead, 2017; M. Kim, Jeong, et al., 2021). LNPs may also utilize cholesterol, which helps to stabilize particles and provide structural integrity (J. Kim, Eygeris, et al., 2021). Lipids functionalized with polyethylene glycol (PEG) also help provide stability, and are commonly used to increase particle circulation time (Knop et al., 2010; Figure 2a).

FIGURE 1.

FIGURE 1

(a) General structures of lipid-based nanoparticles: Liposomes, solid-lipid nanoparticles, and lipid nanoparticles. (b) General structures of inorganic nanoparticles: Iron oxide nanoparticles, gold nanoparticles, carbon dots, silica nanoparticles, and spherical nucleic acids

FIGURE 2.

FIGURE 2

(a) Chemical structures of lipids used in fabrication of lipid-based nanoparticles for gene delivery. (b) Chemical structures of polymers used in fabrication of polymeric gene delivery nanoparticles

Among nonviral nanoparticles, LBNPs have been widely explored due to their low cytotoxicity and potential biode-gradability, making them attractive delivery vehicles from a safety perspective (Hadinoto et al., 2013; Rezigue, 2020). Despite the fact that LBNPs are already in the clinic (e.g., ONPATTRO as a LNP for the treatment of hereditary transthyretin-mediated amyloidosis), recent COVID-19 vaccines have expedited approval and usage of LNPs (Urits et al., 2020). Many more clinical trials are in progress for a range of diseases, from cancers (e.g., melanoma, ovarian, gastrointestinal) to other viral infections (e.g., Zika virus, Rabies; Hou et al., 2021). The primary disadvantages of LNPs are related to the efficiency of systemic gene delivery to non-liver targets and particle stability. Modifying lipid composition or the LNP corona can boost delivery efficiency or tissue targeting, while simultaneously improving parameters such as stability or reduced LNP clearance (Francia et al., 2020). Previous work has demonstrated that including cholesterol in the lipid composition can improve gene delivery efficiency and that coating the LNP surface with hydrophilic molecules can further promote biocompatibility (Das & Das, 2019; Guevara et al., 2020).

2.2 |. Polymer-based nanoparticles

Polymer-based nanoparticles offer their own set of advantages, as compared to lipid nanoparticles. Polymeric nanoparticles can offer increased stability, controlled release, and controlled degradation and elimination of the polymer (Moku, 2021; Rai et al., 2019). Polymers also have advantages in being able to finely tune chemical structure to modulate function as well as facile large-scale manufacture (Gagliardi et al., 2021). Commonly investigated synthetic polymers include poly(lactic-co-glycolic acid) (PLGA; Jo et al., 2020), poly(L-lysine) (PLL; Urello et al., 2020), poly(amidoamine) (PAMAM; Sun et al., 2019), poly(methyl methacrylate) (PMMA; Jaiswal et al., 2019), polyethyleneimine (PEI; Boussif et al., 1995; Ullah et al., 2020), poly(beta-amino ester) (PBAE; Karlsson et al., 2020), and poly(alpha-amino ester)/CART (Blake et al., 2020; T. J. Thomas et al., 2019; Figure 2b). Many of these polymers can be synthesized to have different polymeric architectures, including linear, branched, and dendritic structures.

PLGA is a copolymer consisting of lactic acid and glycolic acid, and adjusting the ratios of these two polymers can shift the degradation rate of the formed nanoparticle (Rezvantalab et al., 2018). Unmodified PLGA nanoparticles have a negative surface (Liang et al., 2011), but cationic modifications can improve membrane binding (Wusiman et al., 2019). PLL consists of repeating amino acid L-lysine and forms positively charged nanoparticles by self-assembly with anionic nucleic acids due to the protonation of charged amine groups on the polymer (Zheng et al., 2021). A significant drawback for PLL nanoparticles is poor endosomal escape and potential cytotoxicity associated with positive charges, though studies have been conducted to discern the relationship between concentration and molecular weight with cytotoxicity (Alinejad-Mofrad et al., 2019). PEI is used in both linear and branched forms and its balance of primary, secondary, and tertiary amines can facilitate nucleic acid binding and cellular uptake (charged primary amines) as well as effective endosomal escape (secondary/tertiary amines capable of endosomal buffering; Y. Li & Ju, 2017). PEI displays high gene delivery efficiency, but experiences drawbacks due to its high positive charge density that can lead to cytotoxicity (Y. Zhang et al., 2018). PBAE polymers are synthesized using diacrylate monomers and amine-containing small molecules (Perni & Prokopovich, 2017) and they break down quickly in physiological conditions via hydrolysis of their ester bonds (Shenoy et al., 2005). PBAEs offer both high gene delivery efficiency as well as lower cytotoxicity compared to PEI and PLL (Sunshine et al., 2012), making them an attractive alternative. PLL and PAMAM are widely explored as dendrimers, highly branched polymers that create a spherical conformation (Rana, 2021). Bare PAMAM nanoparticles also form positively charged dendritic structures useful for delivery and the polymer end-groups can be further modified to display a different charge or biomolecule (J. Zhang, Li, et al., 2021). PAMAM branching structure can modulate delivery properties as well as antibacterial properties (Kheraldine et al., 2021). Unlike the previously discussed polyesters and peptides, PMMA is a nonbiodegradable material and is often utilized as a nanoparticle core (Alves Batista et al., 2020; Jia et al., 2019).

All of these polymeric nanoparticles can have tunable particle surface charge and particle size, and modifications to these physicochemical parameters can also help increase gene delivery (Salameh et al., 2020). Cationic polymers are generally used to form “polyplex” nanoparticles through electrostatic self-assembly with anionic nucleic acids. Nanoparticle positive surface charge has been demonstrated to increase cellular uptake with the negatively charged cell surface and thus increase gene delivery efficiency (Ooi et al., 2020). Notably, the charge-altering releasable transporter (CART) system enables effective intracellular delivery and biodegradability and has positive charges that gradually become neutral, allowing for dissociation of the negatively charged nucleic acid cargo from the polymer (McKinlay et al., 2017). Particle size can also affect cellular uptake and influence transfection efficiency. For PBAE NPs, 70–150 nm diameter particles have been shown to have optimal gene delivery in many cases (Iqbal et al., 2020). Similarly, small PLGA nanoparticles (<100 nm) exhibited higher gene delivery than larger particles in many cell lines (Liang et al., 2011; Prabha et al., 2016). For enhancing blood circulation time, particle size is also a critical design parameter to tune to avoid renal filtration and to minimize immune clearance (Hoshyar et al., 2016). Researchers have also investigated other physical and chemical properties of polymeric nanoparticles and their influence on cellular uptake and delivery efficiency. For example, polymeric ellipsoidal nanoparticle conformations were found to have a 30%–40% reduction in cellular uptake compared to spherical nanoparticles (Ben-Akiva et al., 2020). In a chemical modification approach, introducing guanidine into the structure of PBAE nanoparticles yielded cellular uptake more than 10 times that of PBAE particles without guanidine (Tang et al., 2020), and crosslinking PBAE nanoparticles was found to increase particle stability and improve systemic delivery properties (Karlsson et al., 2021).

The primary disadvantage of polymer-based nanoparticles is insufficient gene transfer efficiency for the desired target and application (Dizaj et al., 2014; G. Lin, Zhang, & Huang, 2015). Often this is due to poor targeting and quick clearance of the nanoparticles from the blood before the nucleic acid has been intracellularly delivered (Alexis et al., 2008). Opsonization can cause phagocytosis of nanoparticles prior to cellular uptake and subsequent gene delivery (Behzadi et al., 2017). However, modifications to the nanoparticle surface can be made to delay nanoparticle clearance (Mitchell et al., 2021). One such modification involves the conjugation of PEG to the nanoparticle (Shi et al., 2021). PEG has been widely explored as a stealth coating on nanoparticles, helping to increase circulation time and reduce nonspecific cellular uptake of nanoparticles, especially when used to construct a dense coating (M. Li et al., 2021). The presence of PEG serves as a barrier, preventing proteins from adhering to the nanoparticle, thus reducing opsonization (Shiraishi & Yokoyama, 2019). For a non-PEG approach, zwitterionic materials can also be used as nanoparticle surface coatings to reduce clearance (Gagliardi et al., 2021; Zhou et al., 2020). Another disadvantage of polymeric materials in nanoparticles includes nonbiodegradability, such as in the case of PEI or PAMAM (Rai et al., 2019; Wen et al., 2009), which can lead to higher cytotoxicity. And while manufacturing costs for polymeric nanoparticles may be less costly, there are still challenges associated with scaling up the production of these nanoparticles, including batch-to-batch consistency or polydispersity; however, recent fluidic processing techniques have been developed to improve manufacturing consistency (Abstiens & Goepferich, 2019).

2.3 |. Inorganic nanoparticles

A third class of nanoparticles used for gene therapy is inorganic particles. These include iron-oxide magnetic nanoparticles, gold nanoparticles, carbon dots (CDs), silica nanoparticles, and spherical nucleic acid nanoparticles (SNA NPs; Figure 1b). These nanoparticles are typically relatively lower cost, easy to produce, and can have well-defined tunable shapes and sizes (Roma-Rodrigues et al., 2020).

Iron-oxide nanoparticles can be approximately 5–200 nm in diameter, depending on the fabrication method, and are hydrophobic until coated with molecules such as peptides or polymers to improve biocompatibility (Ali et al., 2016). These magnetic particles can be targeted via external magnetic fields (Lu et al., 2002), and are frequently used for diagnostic purposes and drug delivery (Mahdavi et al., 2013). Iron-oxide nanoparticles generally accumulate in the liver and spleen (Edge et al., 2016), although more research into the distribution and elimination of these particles is needed to further understand how to tune delivery and minimize toxicity. With respect to CNS disorders, iron-oxide nanoparticles have primarily been explored for diagnostic purposes in diseases such as Alzheimer’s, Parkinson’s, and amyotrophic lateral sclerosis (S. Luo et al., 2020).

Gold nanoparticles can be fabricated at a range of sizes and shapes, including 1–150 nm spherical particles for drug and gene delivery (P. Ghosh et al., 2008; J. Peng & Liang, 2019). An advantage of gold nanoparticles is that they can be easily surface-functionalized using thiol chemistry to flexibly couple biomolecules to the particle surface. These have been shown useful for drug loading, to enable PEGylation for increased particle circulation time, and to incorporate targeting ligands to enrich cell-specific delivery in vivo (P. Ghosh et al., 2008). Gold nanoparticles can also enable theranostic and combination therapies for both in vitro and in vivo applications, although they must be functionalized to facilitate their intracellular delivery (Ding et al., 2014). CDs are carbon-based particles with sizes less than 10 nm that have been explored for use in imaging applications as well as for drug and gene delivery (Biswal & Bhatia, 2021). CDs are photoluminescent, which is an attractive property for imaging purposes, and they have demonstrated low cytotoxicity, which is favorable for gene delivery applications (Biswal & Bhatia, 2021; Cao et al., 2018).

Mesoporous silica nanoparticles are made from colloidal silica and are used for drug delivery and diagnostic purposes (Janjua et al., 2021). These particles are typically fabricated to be 20–500 nm, have pores that range in size from 2 to 50 nm (Y. Yang et al., 2020), and have demonstrated safety and bioavailability in humans (Bukara et al., 2016). These nanocarriers have widespread use in drug delivery and are increasingly been investigated for nucleic acid delivery. Organic materials have also been explored for use in combination with inorganic particles. Both gold nanoparticles and carbon dots have been engineered to incorporate PEI to improve functionality for nucleic acid binding and endosomal escape (Liu et al., 2012; M. Thomas & Klibanov, 2003). Gold nanoparticles have also been further developed as particle cores that are coated layer by layer with polyelectrolytes, including both PEI and PBAE polymers, to enable simultaneous delivery of siRNA and DNA (Bishop et al., 2015). PEGylation has also been used with gold nanoparticles to increase particle circulation time (P. Ghosh et al., 2008) and with carbon dots as a passivation agent (Z. Peng et al., 2020). Prior work has demonstrated that modifying iron-oxide or gold nanoparticles with amphipathic molecules can promote biosafety (Roma-Rodrigues et al., 2020). However, this field is still young and much more research on cytotoxicity and biocompatibility is required before these nanoparticles can be translated into clinical application.

A final type of nanoparticle studied for nucleic acid delivery is SNA NPs. SNA NPs have a center, either solid or hollow, with nucleic acids radiating outwards in spherical geometry. SNA NPs are frequently built using an inorganic core, such as a gold nanoparticle core, and have been demonstrated as useful vehicles for gene therapy (Rosi et al., 2006). Recent SNA research has demonstrated that cores can be built from varied biomaterials including iron oxide, quantum dots, silica, and platinum (Kapadia et al., 2018). SNA nanoparticles can be designed to cross the BBB, have been used for delivery to the brain (Jensen et al., 2013), and have been assessed in a clinical trial delivering siRNA to glioblastoma (GBM; Kumthekar, 2020). A phase 0 clinical trial (NCT03020017) of NU-0129, consisting of a gold nanoparticle core and Bcl2L12 siRNA directed against the GBM oncogene Bcl2Like12, was found to lead to no significant treatment-related toxicities and the gold nanoparticles were detected in the brain following systemic administration, reaching brain cancer cells as well as tumor-associated endothelial cells and macrophages (Figure 3; Kumthekar, 2020).

FIGURE 3.

FIGURE 3

Silver staining of pretreatment and posttreatment tumors from two brain cancer patients (105 and 108) treated with SNA NPs, revealing gold in brain tumor cells and tumor-associated endothelial cells and macrophages. (a, d) silver staining of pretreatment tumors in patients 105 and 108. (b, c, e, f) silver staining of tumor sections post-NU-0129 treatment. In tumors resected after NU-0129 administration, Au was present within endothelial cells (e, orange arrowhead), tumor cells (b, c, f; black arrow head), and macrophages (b, e, red asterisk). Cell shown in panel f demonstrates therapy-related nuclear atypia typical for a post-therapy GBM tumor cell (panel f). Reproduced with permission from Kumthekar (2020)

Although several advances have been made to target inorganic nanoparticle localization to the brain, biodistribution and neurotoxicity remain a challenge (Guo et al., 2021). Delivery of black porous silicon nanoparticles intravenously injected exhibited low biodistribution to the brain, as compared to the intestines, kidneys, liver, or other organs (Tamarov et al., 2021). Oligonucleotide nanoparticles also have difficulty crossing the blood–brain barrier (Mendes et al., 2022). Although some studies have demonstrated accumulation of smaller gold particles in the brain, neurotoxicity remains a concern in such cases (De Matteis, 2017). Inorganic nanoparticles may disrupt the BBB or neuronal functions, making neurotoxicity another critical factor to consider during nanoparticle manufacturing (Teleanu et al., 2019). One toxicological study found a significant decrease in brain weight when gold nanoparticles were repeatedly delivered intravenously to mice (L. Yang et al., 2017). New tools continue to be developed to address these issues of bio-distribution and neurotoxicity. Research groups are investigating the effect of nanoparticle shapes on delivery to cerebral endothelium as well as exploring the effect of particle surface charge of cadmium or iron-based nanoparticles on neuronal targeting (Da Silva-Candal et al., 2019; Dante et al., 2017). It is critical to continue investigating these gaps to improve biodistribution and reduce neurotoxicity for patients.

3 |. MECHANISM OF NANOPARTICLE-MEDIATED INTRACELLULAR DELIVERY

Given a desired genetic modification as a goal, the dominating challenge is how to safely and effectively deliver the needed nucleic acid into the cell (Andresen & Fenton, 2021; Vaughan et al., 2020). Nucleic acid uptake is restricted by transport through the extracellular matrix (ECM) and into the cell (Sokołowska & Błachnio-Zabielska, 2019). Gene delivery can be broken down into four main components: (1) membrane binding and cellular uptake, (2) intracellular trafficking and endosomal escape, (3) particle degradation and nucleic acid release, and in the case of DNA, (4) nuclear import and gene expression (Figure 4; Table 1).

FIGURE 4.

FIGURE 4

Schematic of the intracellular delivery mechanism and trafficking of DNA during gene delivery

TABLE 1.

Comparison of lipid-based, polymeric, and inorganic nanoparticles and their modifiable physiochemical properties affecting delivery

Formulation Modifiable physiochemical properties Advantages Disadvantages
Polymeric Surface charge or particle size/shape—increase gene delivery
Guanidinylation—increase cellular uptake
Polymer crosslinking—increase particle stability, systemic delivery
PEGylation—delay nanoparticle clearance, reduce nonspecific cellular uptake of nanoparticles
Zwitterionic material coatings—reduce clearance
Increased stability
Controlled release
Controlled degradation and elimination of polymer
Tunable structure
Ease of large-scale manufacturing
Poor targeting
Quick nanoparticle clearance
Nonbiodegradability for some polymers (PEI, PAMAM)
Lipid-based Lipid composition—improve delivery efficiency
Hydrophilic coating—promote biocompatibility
PEGylation—boost stability and circulation time
Low cytotoxicity
Biodegradability
Particle stability
Efficiency of systemic delivery to non-liver targets
Inorganic Surface functionalization—couple biomolecules to surface (targeting, increase circulation time, nucleic acid binding)
PEGylation—increase particle circulation time
Lower cost
Ease of production
Tunable shapes and sizes
Requires more research on cytotoxicity and biocompatibility

3.1 |. Membrane binding and cellular uptake

Nanoparticles can interact with and bind to the surface of cells through multiple molecular interactions. These include nonspecific interactions based on charge (H. Lee, 2021) and specific ligand-receptor binding interactions. Because the glycocalyx, the outer surface of cells composed of glycolipids and glycoproteins, has an overall negative surface charge, positively charged nanoparticles can electrostatically associate with and bind to the cell surface (Möckl, 2020). Together with being able to bind to negatively charged nucleic acids, this is in large part why many of the polymeric biomaterials used for nucleic acid delivery contain amine groups and positive charges (Figure 2b). If the biomaterial does not natively contain positive charges, these can be added through conjugation. For example, gold nanoparticles can be decorated with positively charged peptides (Patel et al., 2019) to aid in membrane association and enable cell penetration (Gong et al., 2019). Rather than focus on positive charge, nanoparticles can be decorated with specific sequences of peptides to improve targeted binding to specific cellular receptors. For example, researchers have shown that attaching a DSPE-PEG nanoparticle to two ligands targeting EGFR and αvβ3 integrins, receptors over-expressed on cancer cells, can enable targeting of tumor metastasis (Covarrubias et al., 2019). Multivalent ligand–receptor interactions can enhance membrane binding, and studies have demonstrated that less stiffness in a polymeric nanoparticle could also increase avidity (Farokhirad et al., 2019). Glycocalyx differences in healthy cells versus tumor cells can also attribute to nanoparticle membrane binding differences for cell targeting (von Palubitzki et al., 2020).

Gene delivery nanoparticles can enter the cell through endocytosis pathways or through physically mediated means (Riyad & Weber, 2021). The primary mechanisms for endocytosis utilized include the clathrin and caveolin uptake pathways (X.-X. Ma, Xu, et al., 2020). Research has also demonstrated that by blocking caveolae-mediated endocytosis, cell internalization levels drop dramatically, but that it is the clathrin-mediated endocytosis that is most correlated with successful gene delivery (J. Kim et al., 2014). Further, small changes to polymer end-group structure or molecular weight can tune cellular uptake mechanisms, and thereby improve gene delivery efficiency (J. Kim et al., 2014). Alternatively, cellular uptake can also be by macropinocytosis, nanopore formation, or other noncanonical pathways (Wu et al., 2021). Nanoparticles around 120–200 nm in size are taken up via clathrin and caveolin endocytosis as well as macropinocytosis, while larger nanoparticles are internalized through phagocytosis (Foroozandeh & Aziz, 2018). Although mechanisms of cellular uptake pathways have been well established, novel techniques for visualizing the cellular uptake process into endosomes and subsequent endosomal release have been developed in the last few years, including high-content and high-throughput Galectin-9 or Galectin-8 imaging based platforms (Z. Ma et al., 2022; Munson et al., 2021; Rui et al., 2022). Physical methods can also be utilized such as microinjection or electroporation to facilitate intracellular delivery (Donahue et al., 2019). Nanoparticle characteristics, such as size, charge, or shape, can affect the efficiency of cellular uptake (Fornaguera et al., 2020; Zu & Gao, 2021). A research study utilizing silica nanoparticles loaded with miRNA demonstrated that particles around 160 nm in diameter internalized the fastest, after an incubation time of 45 min (Haddick et al., 2020); however, this may not hold true for all nanoparticles, as speed of cellular uptake could also depend on the material, endocytic pathway, or other qualities. With gold nanoparticles, smaller sizes (25–50 nm) and spherical shapes were internalized more efficiently than larger sizes (>50 nm) and rod, cube, or prism shapes (Carnovale et al., 2019). Another study focusing on lipid nanoparticles found increased cellular uptake in particles that were 30 nm in diameter compared to larger particles closer to 100 nm or 200 nm in diameter (Nakamura et al., 2020). Multiple studies have found lower cellular uptake of ellipsoidal nanoparticles compared to spherical nanoparticles with a range of cells (Ben-Akiva et al., 2020; Champion et al., 2007).

3.2 |. Intracellular trafficking and endosomal escape

Once a nanoparticle has crossed the cellular membrane, it needs to be transported through the cytoplasm and ultimately releases its nucleic acid cargo to the cytosol. Typically, a nanoparticle moves through the endosomal pathway, and without an engineered mechanism for escape, traffics from the early endosome to late endosome, before fusing into a lysosome. It can also be sorted to further organelles, such as the mitochondria or endoplasmic reticulum (Donahue et al., 2019). For a gene delivery nanoparticle to be successful, it needs to escape into the cytosol to avoid degradation in the endolysosomal pathway. There are several mechanisms by which nonviral nanoparticles escape from the early endosome. Nanoparticles with protonatable amines can buffer acidity in the endosome leading to osmotic rupture, and other particles can be functionalized to lead to biomaterial-mediated membrane destabilization (Durymanov & Reineke, 2018; Smith et al., 2018). For lipid nanoparticles, endosomal escape relies on the presence of ionizable lipids (Maugeri et al., 2019). Once acidified in the late endosome, these nonionizable lipids induce shape changes that are associated with membrane fusion (Schlich et al., 2021). With polymeric nanoparticles, experiments support that polymers with titratable amine groups lead to a proton sponge effect, in which protons and Cl ions flow into the endosome and cause endosomal swelling, contributing to rupture through osmotic pressure (Degors et al., 2019). This mechanism is controversial as other experimental observations have shown that adding amines to increase buffering capacity does not always increase endosomal escape and subsequent transfection (Funhoff et al., 2004), and other studies have shown that acetylation of amines in PEI, which decreases buffer capacity and changes biophysical properties of the nanoparticles, ultimately yielded nanoparticles with significantly improved transfection efficiency (Forrest et al., 2004). Vermeulen et al. give a comprehensive report on the data both supporting and contradicting the proton sponge effect and give insight into experimental methods that allow researchers to probe this phenomenon and the mechanisms involved in nanoparticle endosomal escape (Vermeulen et al., 2018).

Nanoparticles with insufficient endosomal escape can be engineered to increase delivery to the cytosol and subsequent transfection. For example, PLGA enables nucleic acid encapsulation but relatively poor endosomal escape, but this escape is enhanced when PLGA nanoparticles are decorated with PEI, demonstrating the critical role of titratable amines (Tsai et al., 2021). Studies with a library of PBAEs found that their structure, rich in titratable amines that buffer in the physiological range of pH 5–7 (Sunshine et al., 2012), have up to an order of magnitude improved endosomal escape compared to commercially available transfection agents such as PEI (Rui et al., 2022). Apart from chemical properties, nanoparticle physical properties can also play an important role in endosomal escape. For example, in the endosome, peptides can have a triggered shape change to alpha helix, which can lead to membrane destabilization and endosomal escape (Lundberg et al., 2007). Another study designed rod-shaped nanoparticles and found that they exhibited higher rates of endosomal escape compared to spherical nanoparticles (J. Lee et al., 2021).

3.3 |. Nanoparticle degradation and nucleic acid release

Another consideration for the design of nanoparticles is their biodegradability (Chen et al., 2020; Rai et al., 2019). Biodegradable constituents, such as PBAE or PLGA, can help improve safety and reduce toxicity of particles that they make up (Corbo et al., 2016; Essa et al., 2020; Negron et al., 2020; B. Nguyen & Tolia, 2021). Rate of degradation may be affected by nanoparticle shape, density, porosity, or other factors that can be engineered in nanostructures (Moghaddam et al., 2019). Nanoparticles may degrade hydrolytically in water, through disulfide linkages, or by enzyme action. Covalent disulfide bonds are susceptible to reduction, thus their presence in nanoparticles leads to ease of degradation in the intracellular reducing environment of the cytosol and subsequently cargo release (Beaupre & Weiss, 2021). Alternatively, enzyme cleavage by trypsin, lactate dehydrogenase, or other proteases can take place, as demonstrated by nanocarriers such as poly-(isobutylene-alt-maleic anhydride)-graft-dodecyl (PMA) coated nanoparticles (Zhu et al., 2019). Lipid nanoparticles can utilize similar degradation methods, undergoing degradation through disulfide bonds (Qiu et al., 2021) or ester bonds (Kawase et al., 2021), while maintaining delivery functionality.

Nonbiodegradable materials may be bioeliminable or they may accumulate in certain tissues in vivo. For example, spherical gold nanoparticles ~20 nm in diameter were found to accumulate in the liver and spleen, as opposed to the heart, lung, brain, or kidney (Bailly et al., 2019). With essentially all nanocarriers, and especially those with biological components on the surface such as peptides and protein, an immune response can be triggered, leading to antibody production and quick clearance of the particles, especially following redosing.

Ultimately, for gene delivery to be successful, the nucleic acid must be released from the particle to the cytosol. While this can be driven by degradation of a nanoparticle, it can also be driven by the thermodynamics of the nucleic acid unbinding from the biomaterial (Bishop et al., 2013). With polymeric PBAE materials, these binding properties were found to be adjustable through molecular weight, adding carbons to the polymer structure, or modifying polymer end groups (Bishop et al., 2013). It has been demonstrated that multivalent positive charges contribute to stronger binding and slower release of nucleic acids (Schaffer et al., 2000). For gold nanoparticles, release of nucleic acid typically occurs after endosomal escape through the role of glutathione (GSH) in the cytosol (Ding et al., 2014).

3.4 |. Nuclear import and gene expression

In the case that the genetic cargo of a nanoparticle is DNA, the delivery voyage is not over in the cytosol, and the nucleic acid must next enter the nucleus (Shahryari et al., 2021). One commonly explored approach to facilitate this import utilizes nuclear localization sequences (NLS) to direct a plasmid to the nucleus (Bitoque et al., 2021; Maggio et al., 2020). NLSs are recognized by importins, which shuttle the NLS and associated cargo through the nuclear pore. Although the nuclear pore complex can perform ~1000 transports per second, naked nucleic acid is imported much slower than when associated with an NLS (Munkonge et al., 2003) and DNA nuclear targeting sequences can help transport cytosolic DNA into the nucleus (Guen et al., 2021). For genome editing, transfection of rapidly dividing cells, that break down their nuclear membrane frequently, is much easier than with nondividing cells. Further, editing is mediated by the homology-directed repair mechanism, which operates during DNA replication in cell division (Waldron, 2017).

The most essential part after a nanoparticle has trafficked through the cell is expression of the gene of interest. In the nucleus, RNA polymerase must bind to a promoter sequence in DNA to initiate transcription to mRNA. Afterward, in the cytosol, a ribosome must bind to the mRNA to initiate translation (Clancy, 2008). During plasmid design, there are various engineering considerations that can boost gene expression and durability, such as codon optimization, inclusion of enhancers, and exclusion of CPG islands and bacterial elements. Enhancers promote gene expression, so inclusion of these sequences can increase the amount of the target exogenous protein (Arnold et al., 2020). Conversely, CPG sequences are more abundant in bacterial DNA compared to mammalian DNA and can be recognized as foreign by the immune system for silencing and degradation (Mulia et al., 2021). Removal or reduction of these elements can reduce the elimination of the gene of interest that is being delivered.

4 |. CENTRAL NERVOUS SYSTEM ANATOMY AND COMMON NEUROLOGICAL DISEASE PROFILES

4.1 |. Central nervous system anatomy: A brief review

The central nervous system is comprised of the brain and the spinal cord, and its primary function is to process incoming sensory information and send outgoing responses (Ludwig et al., 2021). The major components of the brain include the cerebrum, cerebellum, diencephalon, and brainstem. The cerebrum includes the cerebral cortex and serves many functions, such as movement, speech, thinking, and others (Parkins, 1997). The cerebellum coordinates muscle movement and balance. The diencephalon is found at the center of the cerebrum, and includes the thalamus, hypothalamus, and pituitary gland. Its general function is to regulate bodily functions (e.g., hormones) and maintain homeostasis (Lechan & Toni, 2000). Finally, the brain stem connects the rest of the brain to the spinal cord, and it contains the midbrain, pons, and medulla (J. Zhang, 2019). Tissues in the central nervous system contain nerve cells, or neurons, which allow for the relay of information. An action potential initiates at the cell body of the neuron, and travels down the axon to the axon terminal. This electrical signal releases neurotransmitters into the synapse space between neurons, causing downstream biological responses (Sheffler et al., 2021).

4.2 |. Barriers of entry into the central nervous system

There are two notable membrane barriers to the CNS, the blood-cerebrospinal fluid barrier (BCB) and the blood–brain barrier (BBB). These two barriers exist to maintain homeostasis within the brain (Dotiwala et al., 2021). The brain and spinal cord reside in ~140 ml of cerebrospinal fluid (CSF; Pardridge, 2020a), which is separated from blood via the epithelial cells of the choroid plexus (Tumani et al., 2018). Delivery of drug therapeutics into the CSF needs to cross this barrier, which is relatively leaky compared to the blood–brain barrier, due to the presence of gap junctions and pinocytosis vesicles. The BBB is the barrier between blood vessels and the interior of the brain mass, consists of endothelial cells, and is supported by astrocytes, pericytes, and microglia. These peripheral cells help maintain the BBB structure and stability (Bors & Erdő, 2019). The presence of tight junctions and adherens junctions in the endothelial cell layer severely limits diffusion and pinocytosis through the membrane barrier, making the BBB a significant challenge for gene delivery to the CNS (Bors & Erdő, 2019).

4.3 |. Common central nervous system diseases: Neurological disorders and cancers

As quality of life improves globally and the general population ages, the rate of CNS disorders has also increased (Borumandnia et al., 2021). Neurological disorders are the 5th leading cause of death in the world, with strokes causing over two-thirds of these deaths (Awan et al., 2019). The World Health Organization reports that 15 million people experience a stroke every year (WHO EMRO, 2021). After stroke, the most burdensome neurological disorders include dementias (including Alzheimer’s disease) and migraines (Feigin & Vos, 2019).

Other neurological disorders include epilepsy, Huntington’s disease, spinal muscular atrophy, and Parkinson’s disease (Guekht et al., 2021). Epilepsy is characterized by sporadic seizures, and has been found to be linked to a variety of genes (Perucca et al., 2020), many of which can be targeted with gene therapies in the hippocampus (Riban et al., 2009). Huntington’s disease, caused by a mutation in the huntingtin (HTT) gene, leads to the deterioration of neurons and results in disabilities in movement or thinking (Migliore et al., 2019). Similarly, spinal muscular atrophy is a defect in the SMN1 gene, causing muscle weakness (Keinath et al., 2021). Parkinson’s disease is another neurological disorder linked to specific genes (LRRK2, GBA, and SNCA), manifesting in the form of tremors (Stoker & Barker, 2020), and regions of interest for gene therapies are the substantia nigra in the midbrain, and the caudate nucleus and putamen in the basal ganglia of the cerebrum (Axelsen & Woldbye, 2018). These neurological disorders are due to underlying genetic defects and/or could be modulated by the expression or inhibition of target proteins and therefore are amenable to gene therapy treatments.

A neurological disease that is especially relevant to gene therapy interventions is brain cancer. Brain cancers occur when cells in the brain grow and divide unchecked and is one of the most lethal types of cancer, with a low 2-year survival rate (Aldape et al., 2019). A predictive estimate suggests that up to 85,000 individuals will be newly diagnosed with a brain or CNS cancer in 2021 (Miller et al., 2021). Additionally, brain cancers are the second most commonly occurring cancer in children, after leukemia (Siegel et al., 2020). Brain cancers have also been found to be related to many neurological disorders, including but not limited to stroke, Alzheimer’s disease, Parkinson’s, and multiple sclerosis (Tandel et al., 2019). Tumors in the brain can be primary or recurrent masses, which originate in the brain, or metastatic, originating elsewhere in the body and relocating to the brain. Of primary tumors, most (~70%) were nonmalignant with the rest (~30%) being malignant (Ostrom et al., 2020). Glioblastoma comprises ~49% of all malignant brain tumors, making it the most common malignant tumor. Five-year survival of individuals diagnosed with glioblastoma is bleak, at less than 5% (Baid et al., 2020) and the median survival time is approximately 15 months (Ladomersky et al., 2019; Tamimi & Juweid, 2017). Meningioma makes up 55% of nonmalignant tumors and is the most common nonmalignant tumor (Ostrom et al., 2020). Meningioma has a 5-year survival rate of ~85% and median survival time of over 4 years (Holleczek et al., 2019). Many other brain cancer types exist as well, such as astrocytomas, oligodendroglioma, choroid plexus tumors, medulloblastomas, and hemangiomas (Ostrom et al., 2019), and all are promising candidate diseases for a safe and effective cancer gene therapy.

Existing treatments for malignant brain tumors such as glioblastoma include surgical resection, radiation therapy, and chemotherapy (Tan et al., 2020). However, despite treatments, survival rate remains low, and risks or side effects are abundant. Surgery is an expensive and invasive procedure requiring extensive recovery time, while radiation therapy and chemotherapy is associated with negative side effects, including nausea or pain, which subsequently decrease an individual’s quality of life (Prieto-Callejero et al., 2020). Notably, radiation therapy is a very limited option in pediatric cases, due to neurological sequelae (Armstrong & Sun, 2020). Consequently, nonviral gene therapy presents an attractive, low-cost alternative to current standards of care, especially as new biological mechanisms can be targeted. Beyond delivery of cytotoxic genes, some examples of additional nonviral gene therapy approaches with mechanisms that can suppress brain tumors include nanoparticles delivering miR-486–5p antagomirs or cancer inhibiting miRNAs (Lopez-Bertoni et al., 2018, 2020), delivering factors such as bone morphogenetic proteins to inhibit cancer cell stem cells (Piccirillo et al., 2006), or targeting microcephaly genes (Iegiani et al., 2021).

5 |. ROUTES OF NANOPARTICLE DELIVERY INTO THE CENTRAL NERVOUS SYSTEM

5.1 |. Systemic delivery

Nonviral gene therapy nanoparticles can be delivered into the CNS systemically or locally. Systemic delivery is beneficial in the case that a disease or tumor is not limited to a single or easily accessible location; however, the nanoparticle must then traverse the BBB and may experience quick clearance by the immune system (Mitchell et al., 2021). Delivering nanoparticles, or any other biologic, through the BBB has proven to be the most prominent hurdle in delivery to the CNS (Mitchell et al., 2021). Transport through the BBB is limited to passive diffusion of very small molecules (molecular mass under 400–500 Da, with diffusion increasing as molecular mass decreases within that range) and ions, making transport across the blood–brain barrier very difficult. Lipophilicity also affects BBB crossing, and molecules with log P between 1.5 and 2.5 diffuse most readily. Molecules with high polar surface areas or high electrostatic charges will not readily cross the BBB. These key parameters influencing the ability to cross the BBB can be summed up by Lipinski’s “rule of five” (Mikitsh & Chacko, 2014). Consequently, several challenges exist with crossing the blood–brain barrier to deliver therapeutics to the brain (Tumani et al., 2018). It has been reported that close to 100% of biologic drugs do not cross the blood–brain barrier, and no clinical trials have successfully demonstrated a biologic crossing of this barrier (Choudhari et al., 2021; Pardridge, 2020b). Challenges specific to nonviral nanoparticles crossing the BBB following systemic delivery include low passage efficiency, particle aggregation, or short circulation time (Ahlawat et al., 2020). Some efforts to improve nanoparticle transport include PEGylation, conjugation to transferrin, or conjugation to other targeting ligands (Perez-Martınez et al., 2012). Huang et al. describe systemic delivery of PAMAM-PEG complexes conjugated to Transferrin which led to increased gene expression in the brain compared to unconjugated complexes (Huang et al., 2007). Other researchers, such as Zhang et al., have targeted complexes using an antibody against Transferrin to facilitate BBB crossing (Y. Zhang et al., 2008). Another group employed nanoparticles comprised of oligo(ethylene glycol) with STAT3i siRNA and used iRGD, a tumor penetrating protein, to help the nanoparticle pass the BBB and target glioblastoma tumor cells after systemic injection (Gregory et al., 2020).

5.2 |. Local delivery

Local delivery methods offer the advantage of bypassing the BBB and thus results in higher rates of delivery and less systemic toxicity, but these methods can often be more invasive (Luly et al., 2020). Existing methods for local delivery of nanoparticles into the CNS include intrathecal (IT), intracerebroventricular (ICV), and intranasal injection (Calias et al., 2014; Cerqueira et al., 2020) These methods involve injecting the nanoparticle into the spinal fluid, cerebral cavities, or nose, respectively. A study in 2021 compared the efficacy of each delivery route for an AAV gene therapy, finding the highest delivery through intracerebroventricular injection and the lowest delivery through intranasal injection. Overall, all three delivery routes demonstrated a decrease in the neurological disease being tested (Belur et al., 2021). Rapid clearance of gene delivery vehicles represents the most significant challenge with delivery to the cerebrospinal fluid (Householder et al., 2019). In the case of brain cancer, over small length scales (a few mm) intracranial/intratumoral injection has also shown promise for gene delivery nanoparticle injection and convection-enhanced delivery (Figure 5; Mangraviti et al., 2015) as well as PEGylation (J. Kim et al., 2020; Mangraviti et al., 2015) can improve transport properties further. This study also employed convection-enhanced delivery (CED) to improve delivery of the nanoparticles. CED involves implantation of a catheter connected to a pump which increases fluid pressure and allows therapeutics to bypass the BBB and travel further than if they relied on passive diffusion alone (Stine & Munson, 2019). There have been several drawbacks noted with CED, including backflow, air bubbles, and unsuccessful flow patterns based on brain structures (Mehta et al., 2017). CED entered the clinic over 20 years ago, with clinical trials delivering standard chemotherapies as well as conjugated toxins and liposomal formulations to GBM, though results have generally only demonstrated modest effects thus far (Jahangiri et al., 2017).

FIGURE 5.

FIGURE 5

Local brain delivery of PBAE/GFP nanoparticles via CED leads to effective tumor transfection in vivo. Coronal section of a 9 L tumor-bearing rat brain at 7 days post-PBAE/GFP infusion showing the tumor region (a, scale bar = 2 mm). Fluorescence microscopy images show GFP+ transfected cells in the tumor area (b, scale bar = 2 mm). Enlarged area shows a wide distribution of GFP+ cells within the entire tumor area including the periphery (c, scale bar = 500 μm). The colocalization of GFP and Cy5 shows that the nanoparticles penetrate into the cells and successfully transfect them (d–f, scale bar: 50 μm). Red, Cy5; green, GFP; blue, DAPI. Reproduced with permission from Mangraviti et al. (2015)

5.2.1 |. Intracerebroventricular injection

The ICV route of delivery involves injecting the gene therapy treatment into the cerebral ventricles through the use of an Ommaya reservoir (Duma et al., 2019; H. J. Kim, Cho, et al., 2021). This device consists of a dome and catheter, and is first implanted under the scalp to provide a route for injection into the ventricles (Magill et al., 2020). This method demonstrates effective biologic delivery rates, likely because the proximity to brain tissue counteracts the quick clearance time. The downsides are that this method is an invasive and time-consuming process (Taylor et al., 2021). Much work has also been done around intracranial injections using convection-enhanced delivery (CED), which promotes fluid flow through a pressure gradient, thus increasing distribution in the brain (Stine & Munson, 2019). ICV is a commonly used method for testing nanoparticles for gene delivery in vivo, with examples for drug delivery (Monge-Fuentes et al., 2021) and nucleic acid delivery (Akita et al., 2015; Shyam et al., 2015; Tanaka et al., 2018), and studies have been performed to assess the safety of ICV as a delivery route in humans (Cohen-Pfeffer et al., 2017; Slavc et al., 2018).

5.2.2. |. Intrathecal injection

Alternatively, IT injection takes place in the lower spinal cord into CSF, which can then circulate up through the brain (Fowler et al., 2020). Because this method presents a less invasive procedure than ICV injection, it also results in a quicker process and shortened recovery. IT injection has been used to explore nanoparticle administration in vivo, including studies looking at administration of fluorescent nanoparticles (Householder et al., 2019), nanoparticles delivering small molecules (Ramírez-García et al., 2019), and nucleic acids (Nabhan et al., 2016).

5.2.3 |. Intranasal administration

In intranasal injection, the nanoparticle is delivered into the olfactory epithelium, which allows direct access into the CNS, without the need to bypass the BBB (Erdő et al., 2018; Trevino et al., 2020). The axons of the nerve cells in the olfactory epithelium extend directly into the CNS via the olfactory bulb (Bryche et al., 2020). This method is the least invasive out of the discussed routes, however, it also generally yields the lowest delivery rates. For ex vivo nanoparticle-mediated gene delivery to mesenchymal stem cells for use as delivery vehicles, it has been demonstrated that the engineered cells can subsequently be delivered intranasally and migrate through the brain, including homing to brain tumors to secrete transfected protein and extend survival (Mangraviti et al., 2016). Additional intranasal delivery techniques have been explored, including a submucosal gel depot of a liposomal AntagoNAT formulation, which demonstrated delivery approximately 40% of ICV delivery of the same liposomal formulation and a safer route of administration (Padmakumar, Jones, Pawar, et al., 2021). A similar method was also developed using the same intranasal gel depot route of administration but instead using a polymeric shell for sustained delivery of an AntagoNAT (Padmakumar, Jones, Khorkova, et al., 2021; Table 2).

TABLE 2.

Comparison of nanoparticle routes of administration into the brain

Routes of administration Advantages Disadvantages Applications
Systemic Favorable for diseases or tumors not limited to a single or easily accessible location Quick clearance, BBB transport Systemic glioblastoma targeting (Gregory et al., 2020)
Intracerebroventricular Effective biologic delivery rates, bypasses BBB Invasive, time-consuming Dopamine delivery for Parkinson’s disease, siRNA (targeting BACE1 and APP) delivery for Alzheimer’s disease, mRNA delivery to Astrocytes and brain neuronal cells (Monge-Fuentes et al., 2021; Shyam et al., 2015; Tanaka et al., 2018)
Intrathecal Moderate invasiveness, shortened recovery time, bypasses BBB Nanoparticle clearance prior to delivery Chronic pain prevention using NPs targeting neurokinin 1 receptor, delivery of frataxin mRNA for Friedreich’s ataxia (Nabhan et al., 2016; Ramírez-García et al., 2019)
Intranasal Noninvasiveness, bypasses BBB Lowest delivery rate Delivery of BMP4 to target brain tumors, delivery of AntagoNAT for upregulation of brain-derived neurotrophic factor (BDNF; Mangraviti et al., 2016; Padmakumar, Jones, Khorkova, et al., 2021)

6 |. ENGINEERING NONVIRAL NANOPARTICLES FOR APPLICATIONS IN THE CENTRAL NERVOUS SYSTEM

6 1 |. Optimizing design to improve nanoparticle delivery into the central nervous system

6.1.1 |. Targeting ligands to facilitate BBB crossing

A variety of modification approaches have been explored to improve nonviral nanoparticle design, improving delivery into the CNS. In a study conducted by Topal et al., SLNPs were functionalized with ApoE lipoproteins through a biotinylation process, and loaded with donepezil, for the treatment of Alzheimer’s disease (Topal et al., 2021). These APoE functionalized SLNPs were 147.5 ± 0.8 nm in diameter, with a zeta potential of −9.6 ± 0.5 mV. The lipid used in the particle formulation was Dynasan 116, a triglyceride lipid (Lu et al., 2018). ApoE lipoproteins function to transfer lipids to cells in the body and cross the blood–brain barrier through endocytosis pathways (Hartl et al., 2020). The authors found that when ApoE ligands were introduced to lipid nanoparticles, the nanoparticles were also taken up through a model of the BBB. The researchers demonstrated a significant increase in ApoE-nanoparticle uptake across the BBB in rat brain endothelial cells and other related BBB cell types (Topal et al., 2021). The BBB model utilized was created in a well plate and validated through trans-endothelial electrical resistance measurements. These measurements used electrical resistance across the membrane as a proxy for “tightness” of the barrier (Vigh et al., 2021). While these experiments were performed in a simplified rat BBB model, development of next-generation in vitro BBB models could provide improved alternatives to evaluate BBB passage (Linville & Searson, 2021). In another recent study, Zhang et al. created a protein-nanoparticle micelle that associates with ApoE in vivo that localizes to brain tissue (Z.-A. Zhang, Xin, et al., 2021). The PEG–PLA nanoparticles contain amyloid β-protein, which associates with ApoE to form the protein corona. These nanoparticles were synthesized with an average diameter of 103 nm, and a zeta potential of 7.2 mV. The positive zeta potential enabled electrostatic interactions with the anionic ApoE, forming a coated nanoparticle with an average diameter of 172 nm and 0.7 mV zeta potential. After demonstrating effective BBB passage in an in vitro transwell BBB model, these nanoparticles were intravenously administered to mice in vivo, where they successfully bypassed the BBB and led to reduction in glioma tumor size (Z.-A. Zhang, Xin, et al., 2021).

Lipid nanoparticles can be successful in crossing the BBB by incorporating functional biomolecules into the nano-structure. Ray et al. demonstrated that lipid nanoparticles functionalized with aptamers could increase nanoparticle trafficking through the BBB (Ray et al., 2021). Aptamers are short nucleic acids between 40 and 100 nucleotides that can be targeted toward a specific protein (Y. Zhang et al., 2019). The authors added a G-3 aptamer to LNPs composed of an ionizable cationic lipid and cholesterol and that had previously been demonstrated to be endocytosed by the CCR5 protein. The nanoparticles investigated ranged from ~60 to 90 nm in diameter with a zeta potential of −3 to +11 mV. In a simplified BBB model in HeLa cells and TZM-bl cells, over 60% transport was maintained across the BBB normalized to cellular uptake without the barrier model (Ray et al., 2021). In another study, incorporation of neurotransmitter lipidoids into lipid nanoparticles was found to increase the nanoparticle transport across the BBB (F. Ma, Yang, et al., 2020). Using a lipidoid derived from tryptamine combined with a PEGylated lipid (DSPE), Ma et al. were able to show intravenous delivery of an oligonucleotide (Tau-ASO) into a mouse brain in in vivo experiments. The Tau-ASO is a gene silencer, and the studies demonstrated significantly reduced levels of the Tau proteins in mice brains (F. Ma, Yang, et al., 2020). This study demonstrates the potential for delivering genes through the blood–brain barrier with LNPs, while bypassing the invasive procedures of intercranial injection or BBB disruption methods. In an alternative approach, Wang et al. found that the inclusion of borneol stearic acid helped guide LNPs and increase cellular uptake in the brain after intranasal administration (Wang et al., 2019).

Researchers have also designed nanoparticles to cross the BBB via conjugation to cells. Ayer et al. explored polymeric nanoparticle transport across the BBB, facilitated by T-cells, in both in vitro and in vivo models as T-cells can cross the BBB by extravasation through the endothelial layer (Ayer et al., 2021). PEGylated nanoparticles were conjugated onto the T-cell surface and the complexes were able to migrate across a mouse brain endothelial cell layer. Further in vivo work in mice demonstrated that these T-cell nanoparticles were transported across the BBB after systemic injection in the carotid artery (Ayer et al., 2021). Cox et al. investigated polyisoprene nanoparticles decorated with a maleimide group and a drug to facilitate BBB penetration (Cox et al., 2019). These particles were ~160–185 nm in diameter, with positive zeta potentials of approximately 40–50 mV. The maleimide group allowed for covalent binding with proteins to help facilitate BBB trafficking. By binding α2-macroglobulin, a protease that is able to cross the BBB, the nanoparticles were able to cross an in vitro BBB (Cox et al., 2018). Surface modifications of inorganic nanoparticles can also be performed to improve BBB crossing. In one study, gold nanoparticles were enclosed in an exosome expressing a rabies virus glycoprotein peptide to provide a targeting mechanism (Khongkow et al., 2019). Together, the particle size was 105 nm in diameter, with a zeta potential of approximately −10 mV. The exosome-gold nanoparticles were delivered intravenously to mice and were found to localize to the brain mechanism (Khongkow et al., 2019).

6 2 |. Engineering nanoparticles in applications for CNS disease models

6.2.1 |. Engineering nanoparticles for neurological disease use

Several additional studies have demonstrated the utility of nanoparticle modification to benefit application to a specific disease profile. Pinheiro et al. employed rabies virus glycoprotein (RVG29) in DSPE-PEG lipid nanoparticles to demonstrate nanoparticle delivery through the BBB. In this study, the authors delivered quercetin, which has been shown to reduce amyloid-beta peptide aggregation, and thus improve Alzheimer’s disease (Pinheiro et al., 2020). A variety of nanoparticles were examined in this study, ranging ~ −30 to −20 mV in zeta potential. The nanoparticles without the RVG29 were closer to ~150–200 nm in diameter, while nanoparticles conjugated with RVG29 were larger, at about ~200–250 nm in diameter. A similar approach is done by Gan et al. employed RVG29 in polymeric nanoparticles in a Parkinson’s disease profile. Parkinson’s disease is a motor neurological disease, commonly characterized by tremors. Currently, treatment options are continuous intake of L-dopa, which has negative side effects and is inconvenient to the individual. Gan et al. incorporated microRNA-124 and RVG29 into a polymeric nanoparticle, reducing inflammatory responses in a Parkinson’s model (Gan et al., 2019). The polymer was a PLGA-PEG, forming nanoparticles on average 162 nm in diameter. The authors first confirmed that nanoparticles with RVG29 significantly increased nanoparticle transport across the BBB in a simplified in vitro BBB model (Gan et al., 2019). The subsequent experiments demonstrated that delivery of microRNA-124 with the RVG29 polymeric nanoparticles reduced inflammatory cytokines. An in vivo study in mice was also performed, which validated the in vitro study (Gan et al., 2019).

6.2.2 |. Engineering nanoparticles for brain cancer use

Increasingly, there are studies on nonviral gene delivery nanoparticles to treat brain cancer, with a focus on the research on glioblastoma models as model animal systems, given the lethality of this grade IV primary brain tumor. Saha et al. demonstrated that amphetamine-functionalized lipid nanoparticles (consisting of β-amphetaminylated cationic lipid 16-BACL, di-cationic lipid 16-DCL, neutral lipid DOPC, PEG lipid DSPE-PEG[2000], cholesterol, and cargos PD-L1siRNA, paclitaxel, and NIR-dye) could increase BBB transport. In in vivo orthotopic mice glioblastoma models, the authors demonstrated that these positively charged 60–70 nm amphetamine-decorated lipid nanoparticles localized preferentially to the brain over other organs (including the heart, lung, spleen, liver, and kidney; Figure 6; Saha et al., 2020). The authors also demonstrated that delivery of a PDL-1 siRNA into an orthotopic glioblastoma mouse model reduced PDL-1 expression and increased survivability of the mice (Saha et al., 2020). In a polymeric nanoparticle approach, Mangraviti et al. aimed to reduce gliomas through the use of PBAE gene therapy. This study showed that positively charged PBAE- based nanoparticles approximately 134 nm in diameter carrying an HSVtk suicide gene plasmid were able to spread through orthotopic brain tumors (Figure 5) and extend survival in a rat glioma model (Mangraviti et al., 2015). In a different approach, Yang et al. delivered CRISPR/Cas9 plasmids using positively charged 180 nm diameter lipid–polymer hybrid nanoparticles aiming to knockdown MGMT genes, which can impair the efficacy of existing glioblastoma treatment drugs. In this study, the physical method of focused ultrasound (FUS) microbubbles was utilized to increase blood–brain barrier permeability (Q. Yang et al., 2021). FUS has been explored in the clinic for a variety of CNS disorders, including essential tremor and neuropathic pain, though most of these methodologies involved using FUS to create thermal lesions in the brain (Chang & Chang, 2017). More recently, FUS has been explored for its ability to modulate BBB permeability as described in a study by Yang et al. and used in conjunction with a variety of nonviral vectors such as polymers and liposomes (Fisher & Price, 2019; C.-Y. Lin, Hsieh, et al., 2015). Safety of FUS has been assessed in the clinic (Idbaih et al., 2019; Mainprize et al., 2019), though further investigation is necessary.

FIGURE 6.

FIGURE 6

In vivo biodistribution studies demonstrating localization of lipid nanoparticles to the brain following systemic delivery. Orthotopically established glioblastoma bearing C57BL/6 mice (n = 3) were i.v. administered with the NIR-dye loaded lipid nanoparticle of 14/16/18-BACL on day 10 post tumor implantation. Mice were sacrificed 24 h post i.v. administration, organs digested, and fluorescence intensity was measured using a multimode reader. Normalized mean fluorescence indicates the highest accumulation of fluorescently labeled nanoparticles of 16-BACL (a, *p < 0.05, parametric t-test). The median fluorescent heatmap also supports the notion that the fluorescently labeled nanoparticle of 16-BACL shows the highest accumulation in the brain among the three (b). To understand the targeting ability, both the fluorescently labeled nanoparticle of 16-BACL- and NT-lipid were intravenously administered on day 10 post glioblastoma implantation. Mice were anesthetized 24 h post i.v. injections, mouse head areas shaved, and the intensity of NIR-dye was first observed under a noninvasive imager. (c) (I) Mice treated with the NIR-loaded lipid nanoparticle of 16-BACL and (II) mice treated with the NIR-loaded nontargeting control lipid nanoparticle. Immediately after completion of noninvasive imaging (c), ex vivo images of different organs isolated from mice treated with the NIR-dye loaded lipid nanoparticle of 16-BACL (d) and the NIR-dye loaded nontargeting lipid nanoparticle (e) were recorded. In both parts (d and e), (I) brain; (II) lungs; (III) heart; (IV) liver; (V) spleen; and (VI) kidneys. Reproduced with permission from Saha et al. (2020)

Gene therapy for pediatric CNS cancers, medulloblastoma, and atypical teratoid/rhabdoid tumors, has also been explored. Choi et al. used PBAE nanoparticles and the HSVtk gene to increase survival time in in vivo pediatric brain cancer mouse models. The authors first screened for nanoparticle delivery efficiency in BT-12 (atypical teratoid/rhabdoid tumor) and D425 (medulloblastoma) cells. These cell lines were transplanted orthotopically to create mouse models, to which the authors delivered the PBAE/HSVtk NPs intracranially using linear PBAEs 537 and 447, chosen for their ability to transfect cells in vitro and in vivo, and which give rise to 100–150 nm nanoparticles with positive surface charge (Choi et al., 2020). Given the progress thus far in brain cancer gene therapy, there are many avenues to further investigate to create safe and effective technology to treat brain cancers.

6.3 |. Translating nonviral gene therapy to clinical approaches

6.3.1 |. Approved and ongoing clinical trials

In many cases, gene delivery studies have progressed to the clinical trial phase, and some have obtained FDA or EMA approval. Nusinersen, a treatment for spinal muscular atrophy, was approved by the FDA in 2016 and the EMA in 2017 (Winkle et al., 2021). Nusinersen is an antisense oligonucleotide targeting an intronic splicing silencer (ISS-N1), delivered intrathecally over multiple doses, to increase production of survival motor neurons (Goodkey et al., 2018; Q. Li, 2020). Complications of repeated intrathecal injection remain a possibility, and as a result, utilizing a nanoparticle gene delivery mechanism could have advantageous implications in the future.

A Phase 0 clinical trial utilized spherical gold nanoparticle cores conjugated with radially oriented siRNAs as spherical nucleic acids for the treatment of glioblastoma (Kumthekar et al., 2021). The densely packed siRNAs were designed to target Bcl2L12, a glioblastoma oncogene (Paul, 2017). The results demonstrated nanoparticle trafficking through the BBB and into glioblastoma cells after an intravenous injection (Figure 3), successfully and safely reducing protein expression of Bcl2L12 (Kumthekar et al., 2021). Other clinical studies using gold nanoparticles to deliver a treatment for glioma are ongoing, indicating numerous possibilities for nonviral nanoparticle delivery to the brain (Mueller, 2021).

While there are several clinical trials are also underway for neurological disorders, many of these trials are utilizing viral gene therapy treatment methods; these include lentiviral or AAV vectors to treat epilepsy, Alzheimer’s disease, among others (Tuszynski, 2021, p. 2; University College, London, 2020). One clinical trial studied BIIB094 for the treatment of Parkinson’s Disease (Biogen, 2022). BIIB094 is an antisense oligonucleotide aiming to reduce the leucine-rich repeat kinase 2 (LRRK2), which is linked to Parkinson’s disease (A. P. T. Nguyen et al., 2020). Another clinical trial is investigating the effects ALN-APP, an RNAi targeting amyloid precursors for the treatment of Alzheimer’s disease (Alnylam Pharmaceuticals, 2022). A pipeline review of gene delivery biotechnology companies (including Moderna, Alnylam, GenerationBio, Editas, CRISPR Therapeutics, Translate Bio, and Beam) found one instance of preclinical work being conducted for neurological diseases. In addition, in late 2021, a startup company (GenEdit), raised $26 M to support their platform of nonviral, non-lipid, polymer nanoparticles for treating multiple diseases, including those of the central nervous system (Cross, 2021). The sparsity of ongoing clinical trials involving nonviral gene therapy methods indicates that this is an emerging field and that there is potential for nonviral nanoparticle optimization in this area (Table 3).

TABLE 3.

Clinical trials on nonviral nanoparticles for gene delivery to the brain

Name Indication Therapeutic molecule Type of nanocarrier Clinical trial
Nusinersen Spinal muscular atrophy Antisense oligonucleotide targeting ISS-N1 Antisense oligonucleotide NCT04591678
NU-0129 Glioblastoma siRNAs targeting Bcl2L12, a glioblastoma oncogene Gold nanoparticles NCT03020017
BIIB094 Parkinson’s disease Antisense oligonucleotide targeting LRRK2 Antisense oligonucleotide NCT03976349
ALN-APP Alzheimer’s disease; cerebral amyloid angiopathy RNAi targeting amyloid precursor protein (APP) RNA interference NCT05231785

6.3.2 |. Formulation stability and manufacturing challenges

As nonviral nanoparticles are translated for clinical use, pharmacovigilance and formulation stability remain extremely important considerations for patient safety. There are multiple approaches to increase the shelf life, stability, and batch-to-batch consistency of nanoparticles (Najahi-Missaoui et al., 2020). For example, coating materials, such as PEG, have been utilized with lipid nanoparticles to improve stability, while flame spray pyrolysis has been used to prevent dissolution of inorganic nanoparticles (Phakatkar et al., 2021). New techniques, such as flash nanocomplexation, have demonstrated size-controlled development of lipid nanoparticles, thus reducing particle heterogeneity (He et al., 2018). The FDA and EMA have also devised parameters of stability and quality that must be met (Souto et al., 2020). With quality assurance paramount for patient safety and reproducible patient responses, nanomedicine production and characterization methods are continuously improving to meet desired specifications for clinical products.

Because nonviral gene therapy is an emerging approach to treating disease, there are also several unaddressed manufacturing and development challenges for preclinical programs, including meeting production capacity, upscaling manufacturing equipment, and GMP development (Vuksanaj, 2020). For some of these challenges, the FDA has published guidance documents for production of gene therapy, including suggestions to produce many small batches of product, rather than few large batches (Food and Drug Administration (FDA), 2021). Some companies have opted to work with contract development and manufacturing organizations (CMOs) in the short term, rather than developing the capability in-house, due to high costs and long lead-times (Mullin, 2021). Others are evaluating investments in technological innovations to boost production or investments in building manufacturing capabilities to meet gene therapy demands in the long term (Roper & Middleton, 2021). Technological innovations include automated systems and new software to replace manual bench work, to increase production efficiency and capacity (Gene Therapy Industry Report, 2021). Further developments are necessary to streamline the translation of gene therapies, including development of low-cost GMP manufacturing of nucleic acids at scale (The Expanding Frontier of Nucleic Acid Therapeutics, 2022). Thus, while nonviral gene therapy manufacturing currently has challenges, biotechnology companies are implementing new technologies and approaches in order to overcome these issues.

7 |. CONCLUSION

Many advancements have been made in the development of nanomaterials for gene delivery and their ability to overcome extracellular delivery and intracellular delivery bottlenecks. These nanomaterials primarily include lipid-based, polymer-based, and inorganic nanoparticles which can be administered to an individual through intracranial, ICV, IT, or nasal injection. Biodegradable components of nanoparticles are advantageous as they are more easily eliminated from biological systems, and size is a key parameter affecting particle distribution and uptake. Much work has been conducted to modify the nanoparticles for extracellular passage through the blood–brain barrier and intracellular passage to the nucleus. Surface coatings and ligands can be used to help target nanoparticles to specific locations or help improve circulation time following administration. Key structural features for extracellular delivery include size, lipophilicity, polar surfaces, and electrostatic charges, all parameters that researchers seek to address in designing novel nanoparticles systems that aim to cross the BBB.

Key structural features for intracellular delivery include (1) the ability to bind to and/or encapsulate the nucleic acid cargo to facilitate cellular uptake, which can be accomplished with hydrophobic materials and positively charged materials; (2) the ability to promote endosomal escape, which can be accomplished by membrane-disruptive materials and proton-buffering materials; (3) the ability to release the nucleic acid in the cytosol, which can be facilitated by degradable linkages throughout the nanomaterial. Methods for delivery that make use of anatomy (such as ICV injection) or physical methods (CED, image-guided focused ultrasound) can further enhance the effectiveness of gene delivery nanoparticles to treat CNS and brain disorders.

However, there are many challenges remaining for nonviral nanoparticles for gene therapy. First, nonviral vectors still demonstrate much lower gene delivery efficiency compared to viral vectors; boosting this transfection efficiency will be critical in advancing nonviral nanoparticle usage in gene therapy. In addition, there are significant hurdles translating research findings into clinical work, due to unaccounted differences between animal models and human patients, including especially the blood–brain barrier. There may also be unforeseen side effects when these gene therapies are implemented in a human individual. Stability, scale-up, and other manufacturing considerations remain design challenges for nanoparticle systems. Finally, there is the ever-present challenge of reducing gene therapy costs to the patient, given the difficulty of pricing these therapeutics. Despite these challenges, research regarding nanoparticle gene delivery to treat CNS disorders continues to evolve and holds immense promise in addressing complex diseases.

ACKNOWLEDGMENT

BioRender.com is acknowledged for assistance in figure preparation.

FUNDING INFORMATION

This work was supported in part by grants from the National Cancer Institute (R01CA228133), the National Institute of Biomedical Imaging and Bioengineering (P41EB028239), and the Goldhirsh–Yellin Foundation. Support is also acknowledged from the Bloomberg–Kimmel Institute for Cancer Immunotherapy at Johns Hopkins.

Funding information

Goldhirsh-Yellin Foundation; National Cancer Institute, Grant/Award Number: R01CA228133; National Institute of Biomedical Imaging and Bioengineering, Grant/Award Number: P41EB028239

Footnotes

CONFLICT OF INTEREST

Patents related to polymer technology discussed in the manuscript have been filed by Johns Hopkins University with Kathryn M. Luly and Jordan J. Green as co-inventors. Jordan J. Green is a co-founder, manager, and CTO of Dome Therapeutics, co-founder, board member, and CSO of Cove Therapeutics, co-founder of WyveRNA Therapeutics, and board member of VasoRx. Any potential conflicts of interest are managed by the Johns Hopkins University Committee on Outside Interests.

RELATED WIREs ARTICLES

Nanotherapeutic systems for local treatment of brain tumors

Polymer-mediated gene therapy: Recent advances and merging of delivery techniques

DATA AVAILABILITY STATEMENT

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

FURTHER READING

  1. Baden LR, El Sahly HM, Essink B, Kotloff K, Frey S, Novak R, Diemert D, Spector SA, Rouphael N, Creech CB, McGettigan J, Khetan S, Segall N, Solis J, Brosz A, Fierro C, Schwartz H, Neuzil K, Corey L, … COVE Study Group. (2021). Efficacy and safety of the mRNA-1273 SARS-CoV-2 vaccine. The New England Journal of Medicine, 384, 403–416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Nunez JK., Chen J., Pommier GC., Cogan JZ., Replogle JM., Adriaens C., Ramadoss GN., Shi Q., Hung KL., Samelson AJ., Pogson AN., Ki JYS., Chung A., Leonetti MD., Chang HY., Kampmann M., Bernstein BE., Hovestadt V., Gilbert LA., & Weissman JS. (2021). Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing. Cell, 184, 2503–2519.e17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Polack FP, Thomas SJ, Kitchin N, Absalon J, Gurtman A, Lockhart S, Perez JL, Perez Marc G, Moreira ED, Zerbini C, Bailey R, Swanson KA, Roychoudhury S, Koury K, Li P, Kalina WV, Cooper D, Frenck RW Jr., Hammitt LL, … C4591001 Clinical Trial Group. (2020). Safety and efficacy of the BNT162b2 mRNA Covid-19 vaccine. The New England Journal of Medicine, 383, 2603–2615. [DOI] [PMC free article] [PubMed] [Google Scholar]

REFERENCES

  1. Abstiens K, & Goepferich AM (2019). Microfluidic manufacturing improves polydispersity of multicomponent polymeric nanoparticles. Journal of Drug Delivery Science and Technology, 49, 433–439. 10.1016/j.jddst.2018.12.009 [DOI] [Google Scholar]
  2. Ahlawat J, Guillama Barroso G, Masoudi Asil S, Alvarado M, Armendariz I, Bernal J, Carabaza X, Chavez S, Cruz P, Escalante V, Estorga S, Fernandez D, Lozano C, Marrufo M, Ahmad N, Negrete S, Olvera K, Parada X, Portillo B, … Narayan M. (2020). Nanocarriers as potential drug delivery candidates for overcoming the blood–brain barrier: Challenges and possibilities. ACS Omega, 5(22), 12583–12595. 10.1021/acsomega.0c01592 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Akita H, Nakatani T, Kuroki K, Maenaka K, Tange K, Nakai Y, & Harashima H. (2015). Effect of hydrophobic scaffold on the cellular uptake and gene transfection activities of DNA-encapsulating liposomal nanoparticles via intracerebroventricular administration. International Journal of Pharmaceutics, 490(1), 142–145. 10.1016/j.ijpharm.2015.05.043 [DOI] [PubMed] [Google Scholar]
  4. Aldape K, Brindle KM, Chesler L, Chopra R, Gajjar A, Gilbert MR, Gottardo N, Gutmann DH, Hargrave D, Holland EC, Jones DTW, Joyce JA, Kearns P, Kieran MW, Mellinghoff IK, Merchant M, Pfister SM, Pollard SM, Ramaswamy V, … Gilbertson RJ (2019). Challenges to curing primary brain tumours. Nature Reviews. Clinical Oncology, 16(8), 509–520. 10.1038/s41571-019-0177-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Alexis F, Pridgen E, Molnar LK, & Farokhzad OC (2008). Factors affecting the clearance and biodistribution of polymeric nanoparticles. Molecular Pharmaceutics, 5(4), 505–515. 10.1021/mp800051m [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Ali A, Zafar H, Zia M, Ul Haq I, Phull AR, Ali JS, & Hussain A. (2016). Synthesis, characterization, applications, and challenges of iron oxide nanoparticles. Nanotechnology, Science and Applications, 9, 49–67. 10.2147/NSA.S99986 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Alinejad-Mofrad E, Malaekeh-Nikouei B, Gholami L, Mousavi S, Sadeghnia H, Mohajeri M, Darroudi M, & Oskuee R. (2019). Evaluation and comparison of cytotoxicity, genotoxicity, and apoptotic effects of poly-l-lysine/plasmid DNA micro- and nanoparticles. Human & Experimental Toxicology, 38(8), 983–991. 10.1177/0960327119846924 [DOI] [PubMed] [Google Scholar]
  8. Pharmaceuticals Alnylam. (2022). A randomized, double-blind, placebo-controlled single ascending dose and open-label multi-dose study to evaluate the safety, tolerability, pharmacokinetics and pharmacodynamics of intrathecally administered ALN-APP in adult patients with early-onset Alzheimer’s disease (EOAD) (Clinical Trial Registration No. NCT05231785). Retrieved from https://clinicaltrials.gov/ct2/show/NCT05231785.
  9. Alves Batista F, Brena Cunha Fontele S, Beserra Santos LK, Alves Filgueiras L, Quaresma Nascimento S, de Castro e Sousa JM, Ramos Gonçalves JC, & Nogueira Mendes A. (2020). Synthesis, characterization of α-terpineol-loaded PMMA nanoparticles as proposed of therapy for melanoma. Materials Today Communications, 22, 100762. 10.1016/j.mtcomm.2019.100762 [DOI] [Google Scholar]
  10. Andresen JL, & Fenton OS (2021). Nucleic acid delivery and nanoparticle design for COVID vaccines. MRS Bulletin, 46(9), 832–839. 10.1557/s43577-021-00169-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Armstrong C, & Sun LR (2020). Neurological complications of pediatric cancer. Cancer and Metastasis Reviews, 39(1), 3–23. 10.1007/s10555-020-09847-0 [DOI] [PubMed] [Google Scholar]
  12. Arnold PR, Wells AD, & Li XC (2020). Diversity and emerging roles of enhancer RNA in regulation of gene expression and cell fate. Frontiers in Cell and Development Biology, 7, 377. 10.3389/fcell.2019.00377 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Awan S, Siddiqi AI, Asif A, Ahmed N, Brohi H, Jalbani S, & Wasay M. (2019). Spectrum of neurological disorders in neurology out-patients clinics in urban and rural Sindh, Pakistan: A cross sectional study. BMC Neurology, 19(1), 192. 10.1186/s12883-019-1424-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Axelsen TM, & Woldbye DPD (2018). Gene therapy for Parkinson’s disease, An update. Journal of Parkinson’s Disease, 8(2), 195–215. 10.3233/JPD-181331 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Ayer M, Schuster M, Gruber I, Blatti C, Kaba E, Enzmann G, Burri O, Guiet R, Seitz A, Engelhardt B, & Klok H-A (2021). T -cell-mediated transport of polymer nanoparticles across the blood–brain barrier. Advanced Healthcare Materials, 10(2), 2001375. 10.1002/adhm.202001375 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Baid U, Rane SU, Talbar S, Gupta S, Thakur MH, Moiyadi A, & Mahajan A. (2020). Overall survival prediction in glioblastoma with Radiomic features using machine learning. Frontiers in Computational Neuroscience, 14, 61. 10.3389/fncom.2020.00061 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Bailly A-L, Correard F, Popov A, Tselikov G, Chaspoul F, Appay R, Al-Kattan A, Kabashin AV, Braguer D, & Esteve M-A (2019). In vivo evaluation of safety, biodistribution and pharmacokinetics of laser-synthesized gold nanoparticles. Scientific Reports, 9(1), 12890. 10.1038/s41598-019-48748-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Balazs DA, & Godbey WT (2010). Liposomes for use in gene delivery. Journal of Drug Delivery, 2011, e326497. 10.1155/2011/326497 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Beaupre DM., & Weiss RG. (2021). Thiol- and disulfide-based stimulus-responsive soft materials and self-assembling systems. Molecules (Basel, Switzerland), 26(11), 3332. 10.3390/molecules26113332 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Behzadi S, Serpooshan V, Tao W, Hamaly MA, Alkawareek MY, Dreaden EC, Brown D, Alkilany AM, Farokhzad OC, & Mahmoudi M. (2017). Cellular uptake of nanoparticles: Journey inside the cell. Chemical Society Reviews, 46(14), 4218–4244. 10.1039/c6cs00636a [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Belur LR, Romero M, Lee J, Podetz-Pedersen KM, Nan Z, Riedl MS, Vulchanova L, Kitto KF, Fairbanks CA, Kozarsky KF, Orchard PJ, Frey WH, Low WC, & McIvor RS (2021). Comparative effectiveness of Intracerebroventricular, intrathecal, and intranasal routes of AAV9 vector Administration for Genetic Therapy of neurologic disease in murine Mucopolysaccharidosis type I. Frontiers in Molecular Neuroscience, 14, 68. 10.3389/fnmol.2021.618360 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Ben-Akiva E, Meyer RA, Yu H, Smith JT, Pardoll DM, & Green JJ (2020). Biomimetic anisotropic polymeric nanoparticles coated with red blood cell membranes for enhanced circulation and toxin removal. Science Advances, 6(16), eaay9035. 10.1126/sciadv.aay9035 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Biogen. (2022). A phase 1 single- and multiple-ascending-dose study to assess the safety, tolerability, and pharmacokinetics of biib094 administered intrathecally to adults with Parkinson’s disease (Clinical Trial Registration No. NCT03976349). clinicaltrials.gov. Retrieved from https://clinicaltrials.gov/ct2/show/NCT03976349 [Google Scholar]
  24. Bishop CJ, Ketola T-M, Tzeng SY, Sunshine JC, Urtti A, Lemmetyinen H, Vuorimaa-Laukkanen E, Yliperttula M, & Green JJ (2013). The effect and role of carbon atoms in poly(β-amino ester)s for DNA binding and gene delivery. Journal of the American Chemical Society, 135(18), 6951–6957. 10.1021/ja4002376 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Bishop CJ, Tzeng SY, & Green JJ (2015). Degradable polymer-coated gold nanoparticles for co-delivery of DNA and siRNA. Acta Biomaterialia, 11, 393–403. 10.1016/j.actbio.2014.09.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Biswal MR, & Bhatia S. (2021). Carbon dot nanoparticles: Exploring the potential use for gene delivery in ophthalmic diseases. Nanomaterials, 11(4), 935. 10.3390/nano11040935 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Bitoque DB, Morais J, Oliveira AV, Sequeira RL, Calado SM, Fortunato TM, Simão S, Rosa da Costa AM, & Silva GA (2021). Human-derived NLS enhance the gene transfer efficiency of chitosan. Bioscience Reports, 41(1), BSR20201026. 10.1042/BSR20201026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Blake TR, Ho WC, Turlington CR, Zang X, Huttner MA, Wender PA, & Waymouth RM (2020). Synthesis and mechanistic investigations of pH-responsive cationic poly(aminoester)s. Chemical Science, 11(11), 2951–2966. 10.1039/C9SC05267D [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Blakney AK, McKay PF, Yus BI, Aldon Y, & Shattock RJ (2019). Inside out: Optimization of lipid nanoparticle formulations for exterior complexation and in vivo delivery of saRNA. Gene Therapy, 26(9), 363–372. 10.1038/s41434-019-0095-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Bors L, & Erdő F. (2019). Overcoming the blood–brain barrier. Challenges and tricks for CNS drug delivery. Scientia Pharmaceutica, 87(1), 6. 10.3390/scipharm87010006 [DOI] [Google Scholar]
  31. Borumandnia N, Majd HA, Doosti H, & Olazadeh K. (2021). The trend analysis of neurological disorders as major causes of death and disability according to human development, 1990–2019. Environmental Science and Pollution Research, 29, 14348–14354. 10.1007/s11356-021-16604-5 [DOI] [PubMed] [Google Scholar]
  32. Boussif O, Lezoualc’h F, Zanta MA, Mergny MD, Scherman D, Demeneix B, & Behr JP (1995). A versatile vector for gene and oligonucleotide transfer into cells in culture and in vivo: Polyethylenimine. Proceedings of the National Academy of Sciences of the United States of America, 92(16), 7297–7301. 10.1073/pnas.92.16.7297 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Bryche B, St Albin A, Murri S, Lacôte S, Pulido C, Ar Gouilh M, Lesellier S, Servat A, Wasniewski M, Picard-Meyer E, Monchatre-Leroy E, Volmer R, Rampin O, Le Goffic R, Marianneau P, & Meunier N. (2020). Massive transient damage of the olfactory epithelium associated with infection of sustentacular cells by SARS-CoV-2 in golden Syrian hamsters. Brain, Behavior, and Immunity, 89, 579–586. 10.1016/j.bbi.2020.06.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Bukara K, Schueller L, Rosier J, Martens MA, Daems T, Verheyden L, Eelen S, Van Speybroeck M, Libanati C, Martens JA, Van Den Mooter G, Frérart F, Jolling K, De Gieter M, Bugarski B, & Kiekens F. (2016). Ordered mesoporous silica to enhance the bioavailability of poorly water-soluble drugs: Proof of concept in man. European Journal of Pharmaceutics and Biopharmaceutics, 108, 220–225. 10.1016/j.ejpb.2016.08.020 [DOI] [PubMed] [Google Scholar]
  35. Bulcha JT, Wang Y, Ma H, Tai PWL, & Gao G. (2021). Viral vector platforms within the gene therapy landscape. Signal Transduction and Targeted Therapy, 6(1), 1–24. 10.1038/s41392-021-00487-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Burstein SR, Valsecchi F, Kawamata H, Bourens M, Zeng R, Zuberi A, Milner TA, Cloonan SM, Lutz C, Barrientos A, & Manfredi G. (2018). In vitro and in vivo studies of the ALS-FTLD protein CHCHD10 reveal novel mitochondrial topology and protein interactions. Human Molecular Genetics, 27(1), 160–177. 10.1093/hmg/ddx397 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Calias P, Banks WA, Begley D, Scarpa M, & Dickson P. (2014). Intrathecal delivery of protein therapeutics to the brain: A critical reassessment. Pharmacology & Therapeutics, 144(2), 114–122. 10.1016/j.pharmthera.2014.05.009 [DOI] [PubMed] [Google Scholar]
  38. Cao X, Wang J, Deng W, Chen J, Wang Y, Zhou J, Du P, Xu W, Wang Q, Wang Q, Yu Q, Spector M, Yu J, & Xu X. (2018). Photoluminescent cationic carbon dots as efficient non-viral delivery of plasmid SOX9 and Chondrogenesis of fibroblasts. Scientific Reports, 8(1), 7057. 10.1038/s41598-018-25330-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Carnovale C, Bryant G, Shukla R, & Bansal V. (2019). Identifying trends in gold nanoparticle toxicity and uptake: Size, shape, capping ligand, and biological Corona. ACS Omega, 4(1), 242–256. 10.1021/acsomega.8b03227 [DOI] [Google Scholar]
  40. Cerqueira SR, Ayad NG, & Lee JK (2020). Neuroinflammation treatment via targeted delivery of nanoparticles. Frontiers in Cellular Neuroscience, 14, 329. 10.3389/fncel.2020.576037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Champion JA., Katare YK., & Mitragotri S. (2007). Particle shape: A new design parameter for micro- and nanoscale drug delivery carriers. Journal of Controlled Release: Official Journal of the Controlled Release Society, 121, 3–9. 10.1016/j.jconrel.2007.03.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Chang WS, & Chang JW (2017). Focused ultrasound treatment for central nervous system disease: Neurosurgeon’s perspectives. Biomedical Engineering Letters, 7(2), 107–114. 10.1007/s13534-017-0013-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Chen C-K, Huang P-K, Law W-C, Chu C-H, Chen N-T, & Lo L-W (2020). Biodegradable polymers for gene-delivery applications. International Journal of Nanomedicine, 15, 2131–2150. 10.2147/IJN.S222419 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Choi J, Rui Y, Kim J, Gorelick N, Wilson DR, Kozielski K, Mangraviti A, Sankey E, Brem H, Tyler B, Green JJ, & Jackson EM (2020). Nonviral polymeric nanoparticles for gene therapy in pediatric CNS malignancies. Nanomedicine: Nanotechnology, Biology and Medicine, 23, 102115. 10.1016/j.nano.2019.102115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Choudhari M, Hejmady S, Narayan Saha R, Damle S, Singhvi G, Alexander A, Kesharwani P, & Kumar Dubey S. (2021). Evolving new-age strategies to transport therapeutics across the blood-brain-barrier. International Journal of Pharmaceutics, 599, 120351. 10.1016/j.ijpharm.2021.120351 [DOI] [PubMed] [Google Scholar]
  46. Clancy S. (2008). Translation: DNA to mRNA to Protein j Learn Science at Scitable. Retrieved from https://www.nature.com/scitable/topicpage/translation-dna-to-mrna-to-protein-393/.
  47. Cohen-Pfeffer JL, Gururangan S, Lester T, Lim DA, Shaywitz AJ, Westphal M, & Slavc I. (2017). Intracerebroventricular delivery as a safe, long-term route of drug administration. Pediatric Neurology, 67, 23–35. 10.1016/j.pediatrneurol.2016.10.022 [DOI] [PubMed] [Google Scholar]
  48. Corbo C, Molinaro R, Parodi A, Toledano Furman NE, Salvatore F, & Tasciotti E. (2016). The impact of nanoparticle protein corona on cytotoxicity, immunotoxicity and target drug delivery. Nanomedicine, 11(1), 81–100. 10.2217/nnm.15.188 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Covarrubias G, He F, Raghunathan S, Turan O, Peiris PM, Schiemann WP, & Karathanasis E. (2019). Effective treatment of cancer metastasis using a dual-ligand nanoparticle. PLoS One, 14(7), e0220474. 10.1371/journal.pone.0220474 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Cox A, Andreozzi P, Dal Magro R, Fiordaliso F, Corbelli A, Talamini L, Chinello C, Raimondo F, Magni F, Tringali M, Krol S, Jacob Silva P, Stellacci F, Masserini M, & Re F. (2018). Evolution of nanoparticle protein Corona across the blood–brain barrier. ACS Nano, 12(7), 7292–7300. 10.1021/acsnano.8b03500 [DOI] [PubMed] [Google Scholar]
  51. Cox A, Vinciguerra D, Re F, Magro RD, Mura S, Masserini M, Couvreur P, & Nicolas J. (2019). Protein-functionalized nanoparticles derived from end-functional polymers and polymer prodrugs for crossing the blood-brain barrier. European Journal of Pharmaceutics and Biopharmaceutics, 142, 70–82. 10.1016/j.ejpb.2019.06.004 [DOI] [PubMed] [Google Scholar]
  52. Cross R. (2021). GenEdit raises $26 million to develop polymer nanoparticles. Chemical and Engineering News. Retrieved from. https://cen.acs.org/pharmaceuticals/drug-delivery/GenEdit-raises-26-million-develop/99/web/2021/09 [Google Scholar]
  53. Da Silva-Candal A, Brown T, Krishnan V, Lopez-Loureiro I, Avila-G´ omez P, Pusuluri A, Pérez-Díaz A, Correa-Paz C, Hervella P, Castillo J, Mitragotri S, & Campos F. (2019). Shape effect in active targeting of nanoparticles to inflamed cerebral endothelium under static and flow conditions. Journal of Controlled Release, 309, 94–105. 10.1016/j.jconrel.2019.07.026 [DOI] [PubMed] [Google Scholar]
  54. Dante S, Petrelli A, Petrini EM, Marotta R, Maccione A, Alabastri A, Quarta A, De Donato F, Ravasenga T, Sathya A, Cingolani R, Proietti Zaccaria R, Berdondini L, Barberis A, & Pellegrino T. (2017). Selective targeting of neurons with inorganic nanoparticles: Revealing the crucial role of nanoparticle surface charge. ACS Nano, 11(7), 6630–6640. 10.1021/acsnano.7b00397 [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Darrow JJ (2019). Luxturna: FDA documents reveal the value of a costly gene therapy. Drug Discovery Today, 24(4), 949–954. 10.1016/j.drudis.2019.01.019 [DOI] [PubMed] [Google Scholar]
  56. Das S, & Das MK (2019). Surface modification of Resorcinarene-based self-assembled solid lipid nanoparticles for drug targeting. In Pathak YV(Ed.), Surface modification of nanoparticles for targeted drug delivery (pp. 311–329). Springer International Publishing. 10.1007/978-3-030-06115-9_16 [DOI] [Google Scholar]
  57. De Matteis V. (2017). Exposure to inorganic nanoparticles: Routes of entry, immune response, biodistribution and in vitro/in vivo toxicity evaluation. Toxics, 5(4), 29. 10.3390/toxics5040029 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Degors IMS, Wang C, Rehman ZU, & Zuhorn IS (2019). Carriers break barriers in drug delivery: Endocytosis and endosomal escape of gene delivery vectors. Accounts of Chemical Research, 52(7), 1750–1760. 10.1021/acs.accounts.9b00177 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Ding Y, Jiang Z, Saha K, Kim CS, Kim ST, Landis RF, & Rotello VM (2014). Gold nanoparticles for nucleic acid delivery. Molecular Therapy, 22(6), 1075–1083. 10.1038/mt.2014.30 [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Dizaj SM, Jafari S, & Khosroushahi AY (2014). A sight on the current nanoparticle-based gene delivery vectors. Nanoscale Research Letters, 9(1), 1–9. 10.1186/1556-276X-9-252 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Donahue ND, Acar H, & Wilhelm S. (2019). Concepts of nanoparticle cellular uptake, intracellular trafficking, and kinetics in nanomedicine. Advanced Drug Delivery Reviews, 143, 68–96. 10.1016/j.addr.2019.04.008 [DOI] [PubMed] [Google Scholar]
  62. Dotiwala AK, McCausland C, & Samra NS (2021). Anatomy, head and neck, blood brain barrier. In StatPearls. StatPearls Publishing. Retrieved from. http://www.ncbi.nlm.nih.gov/books/NBK519556/ [PubMed] [Google Scholar]
  63. Duma C, Kopyov O, Kopyov A, Berman M, Lander E, Elam M, Arata M, Weiland D, Cannell R, Caraway C, Berman S, Scord K, Stemler L, Chung K, Khoudari S, McRory R, Duma C, Farmer S, Bravo A, … Rapaport B. (2019). Human intracerebroventricular (ICV) injection of autologous, non-engineered, adipose-derived stromal vascular fraction (ADSVF) for neurodegenerative disorders: Results of a 3-year phase 1 study of 113 injections in 31 patients. Molecular Biology Reports, 46(5), 5257–5272. 10.1007/s11033-019-04983-5 [DOI] [PubMed] [Google Scholar]
  64. Durymanov M, & Reineke J. (2018). Non-viral delivery of nucleic acids: Insight into mechanisms of overcoming intracellular barriers. Frontiers in Pharmacology, 9, 971. Retrieved from. 10.3389/fphar.2018.00971 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Edg D., Short CM., Gobb OL., Teughel S., Prina-Mell A., Volko Y., MacEneane P., Radomsk MW., & Marko F. (2016). Pharmacokinetics and bio-distribution of novel super paramagnetic iron oxide nanoparticles (SPIONs) in the anaesthetized pig. Clinical and Experimental Pharmacology & Physiology, 43(3), 319–326. 10.1111/1440-1681.12533 [DOI] [PubMed] [Google Scholar]
  66. Erdő F, Bors LA, Farkas D, Bajza Á, & Gizurarson S. (2018). Evaluation of intranasal delivery route of drug administration for braiń targeting. Brain Research Bulletin, 143, 155–170. 10.1016/j.brainresbull.2018.10.009 [DOI] [PubMed] [Google Scholar]
  67. Essa D, Kondiah PPD, Choonara YE, & Pillay V. (2020). The Design of Poly(lactide-co-glycolide) Nanocarriers for medical applications. Frontiers in Bioengineering and Biotechnology, 8, 48. 10.3389/fbioe.2020.00048 [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Farokhirad S, Ranganathan A, Myerson J, Muzykantov VR, Ayyaswamy PS, Eckmann DM, & Radhakrishnan R. (2019). Stiffness can mediate balance between hydrodynamic forces and avidity to impact the targeting of flexible polymeric nanoparticles in flow. Nanoscale, 11(14), 6916–6928. 10.1039/C8NR09594A [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Feigin VL, & Vos T. (2019). Global burden of neurological disorders: From global burden of disease estimates to actions. Neuroepidemiology, 52(1–2), 1–2. 10.1159/000495197 [DOI] [PubMed] [Google Scholar]
  70. Fisher DG, & Price RJ (2019). Recent advances in the use of focused ultrasound for magnetic resonance image-guided therapeutic nanoparticle delivery to the central nervous system. Frontiers in Pharmacology, 10, 1348. 10.3389/fphar.2019.01348 [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Food and Drug Administration (FDA). (2021). Human gene therapy for neurodegenerative diseases; Drafts Guidance for Industry (Vol. 15). Food and Drug Administration. [Google Scholar]
  72. Fornaguera C, Castells-Sala C, & Borros S. (2020). Unraveling polymeric nanoparticles cell uptake pathways: Two decades working to understand nanoparticles journey to improve gene therapy. In Turksen K(Ed.), Cell biology and translational medicine, volume 9: Stem cell-based therapeutic approaches in disease (pp. 117–138). Springer International Publishing. 10.1007/5584_2019_467 [DOI] [PubMed] [Google Scholar]
  73. Foroozandeh P, & Aziz AA (2018). Insight into cellular uptake and intracellular trafficking of nanoparticles. Nanoscale Research Letters, 13(1), 339. 10.1186/s11671-018-2728-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Forrest ML, Meister GE, Koerber JT, & Pack DW (2004). Partial acetylation of polyethylenimine enhances in vitro gene delivery. Pharmaceutical Research, 21(2), 365–371. 10.1023/b:pham.0000016251.42392.1e [DOI] [PubMed] [Google Scholar]
  75. Fowler MJ, Cotter JD, Knight BE, Sevick-Muraca EM, Sandberg DI, & Sirianni RW (2020). Intrathecal drug delivery in the era of nanomedicine. Advanced Drug Delivery Reviews, 165–166, 77–95. 10.1016/j.addr.2020.02.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Francia V, Schiffelers RM, Cullis PR, & Witzigmann D. (2020). The biomolecular Corona of lipid nanoparticles for gene therapy. Bioconjugate Chemistry, 31(9), 2046–2059. 10.1021/acs.bioconjchem.0c00366 [DOI] [PubMed] [Google Scholar]
  77. Funhoff AM, van Nostrum CF, Koning GA, Schuurmans-Nieuwenbroek NME, Crommelin DJA, & Hennink WE (2004). Endosomal escape of polymeric gene delivery complexes is not always enhanced by polymers buffering at low pH. Biomacromolecules, 5(1), 32–39. 10.1021/bm034041+ [DOI] [PubMed] [Google Scholar]
  78. Gagliardi A, Giuliano E, Venkateswararao E, Fresta M, Bulotta S, Awasthi V, & Cosco D. (2021). Biodegradable polymeric nanoparticles for drug delivery to solid tumors. Frontiers in Pharmacology, 12, 626. 10.3389/fphar.2021.601626 [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Gan L, Li Z, Lv Q, & Huang W. (2019). Rabies virus glycoprotein (RVG29)-linked microRNA-124-loaded polymeric nanoparticles inhibit neuroinflammation in a Parkinson’s disease model. International Journal of Pharmaceutics, 567, 118449. 10.1016/j.ijpharm.2019.118449 [DOI] [PubMed] [Google Scholar]
  80. Gantenbein B, Tang S, Guerrero J, Higuita-Castro N, Salazar-Puerta AI, Croft AS, Gazdhar A, & Purmessur D. (2020). Non-viral gene delivery methods for bone and joints. Frontiers in Bioengineering and Biotechnology, 8, 1320. 10.3389/fbioe.2020.598466 [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. García-Pinel B, Porras-Alcala C, Ortega-Rodríguez A, Sarabia F, Prados J, Melguizo C, & López-Romero JM (2019). Lipid-based nanoparticles: Application and recent advances in cancer treatment. Nanomaterials, 9(4), 638. 10.3390/nano9040638 [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Gene Therapy Industry Report. (2021). Retrieved from https://resources.perkinelmer.com/lab-solutions/resources/docs/whp-gene-therapy-industry-report-2021.pdf.
  83. Ghosh P, Han G, De M, Kim CK, & Rotello VM (2008). Gold nanoparticles in delivery applications. Advanced Drug Delivery Reviews, 60(11), 1307–1315. 10.1016/j.addr.2008.03.016 [DOI] [PubMed] [Google Scholar]
  84. Ghosh S, Brown AM, Jenkins C, & Campbell K. (2020). Viral vector Systems for Gene Therapy: A comprehensive literature review of Progress and biosafety challenges. Applied Biosafety, 25(1), 7–18. 10.1177/1535676019899502 [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Gong L, Chen Y, He K, & Liu J. (2019). Surface coverage-regulated cellular interaction of Ultrasmall luminescent gold nanoparticles. ACS Nano, 13(2), 1893–1899. 10.1021/acsnano.8b08103 [DOI] [PubMed] [Google Scholar]
  86. Goodkey K, Aslesh T, Maruyama R, & Yokota T. (2018). Nusinersen in the treatment of spinal muscular atrophy. Methods in Molecular Biology (Clifton, NJ), 1828, 69–76. 10.1007/978-1-4939-8651-4_4 [DOI] [PubMed] [Google Scholar]
  87. Goswami R, Subramanian G, Silayeva L, Newkirk I, Doctor D, Chawla K, Chattopadhyay S, Chandra D, Chilukuri N, & Betapudi V. (2019). Gene therapy leaves a vicious cycle. Frontiers in Oncology, 9, 297. 10.3389/fonc.2019.00297 [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Gregory JV, Kadiyala P, Doherty R, Cadena M, Habeel S, Ruoslahti E, Lowenstein PR, Castro MG, & Lahann J. (2020). Systemic brain tumor delivery of synthetic protein nanoparticles for glioblastoma therapy. Nature Communications, 11(1), 5687. 10.1038/s41467-020-19225-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Guekht A, Brodie M, Secco M, Li S, Volkers N, & Wiebe S. (2021). The road to a World Health Organization global action plan on epilepsy and other neurological disorders. Epilepsia, 62(5), 1057–1063. 10.1111/epi.16856 [DOI] [PubMed] [Google Scholar]
  90. Guen YTL., Pichon C., Guégan P., Pluchon K., Haute T., Quemener S., Ropars J., Midoux P., Gall TL., & Montier T. (2021). DNA nuclear targeting sequences for enhanced non-viral gene transfer: An in vitro and in vivo study. Molecular Therapy--Nucleic Acids, 24, 477–486. 10.1016/j.omtn.2021.03.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Guevara ML, Persano F, & Persano S. (2020). Advances in lipid nanoparticles for mRNA-based cancer immunotherapy. Frontiers in Chemistry, 8, 963. 10.3389/fchem.2020.589959 [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Guo Z, Zhang P, Chakraborty S, Chetwynd AJ, Abdolahpur Monikh F, Stark C, Ali-Boucetta H, Wilson S, Lynch I, & ValsamiJones E. (2021). Biotransformation modulates the penetration of metallic nanomaterials across an artificial blood-brain barrier model. Proceedings of the National Academy of Sciences of the United States of America, 118(28), e2105245118. 10.1073/pnas.2105245118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Haddick L, Zhang W, Reinhard S, Möller K, Engelke H, Wagner E, & Bein T. (2020). Particle-size-dependent delivery of Antitumoral miRNA using targeted mesoporous silica nanoparticles. Pharmaceutics, 12(6), 505. 10.3390/pharmaceutics12060505 [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Hadinoto K, Sundaresan A, & Cheow WS (2013). Lipid–polymer hybrid nanoparticles as a new generation therapeutic delivery platform: A review. European Journal of Pharmaceutics and Biopharmaceutics, 85(3 Part A), 427–443. 10.1016/j.ejpb.2013.07.002 [DOI] [PubMed] [Google Scholar]
  95. Hajj KA, & Whitehead KA (2017). Tools for translation: Non-viral materials for therapeutic mRNA delivery. Nature Reviews Materials, 2(10), 1–17. 10.1038/natrevmats.2017.56 [DOI] [Google Scholar]
  96. Hartl N, Adams F, & Merkel OM (2020). From adsorption to covalent bonding: Apolipoprotein E functionalization of polymeric nanoparticles for drug delivery across the blood-brain barrier. Advanced Therapeutics, 4(1), 2000092. 10.1002/adtp.202000092 [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. He Z, Hu Y, Nie T, Tang H, Zhu J, Chen K, Liu L, Leong KW, Chen Y, & Mao H-Q (2018). Size-controlled lipid nanoparticle production using turbulent mixing to enhance oral DNA delivery. Acta Biomaterialia, 81, 195–207. 10.1016/j.actbio.2018.09.047 [DOI] [PubMed] [Google Scholar]
  98. Holleczek B, Zampella D, Urbschat S, Sahm F, von Deimling A, Oertel J, & Ketter R. (2019). Incidence, mortality and outcome of meningiomas: A population-based study from Germany. Cancer Epidemiology, 62, 101562. 10.1016/j.canep.2019.07.001 [DOI] [PubMed] [Google Scholar]
  99. Hoshyar N, Gray S, Han H, & Bao G. (2016). The effect of nanoparticle size on in vivo pharmacokinetics and cellular interaction. Nanomedicine, 11(6), 673–692. 10.2217/nnm.16.5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Hou X, Zaks T, Langer R, & Dong Y. (2021). Lipid nanoparticles for mRNA delivery. Nature Reviews Materials, 6(12), 1078–1094. 10.1038/s41578-021-00358-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Householder KT, Dharmaraj S, Sandberg DI, Wechsler-Reya RJ, & Sirianni RW (2019). Fate of nanoparticles in the central nervous system after intrathecal injection in healthy mice. Scientific Reports, 9, 12587. 10.1038/s41598-019-49028-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  102. Huang R-Q, Qu Y-H, Ke W-L, Zhu J-H, Pei Y-Y, & Jiang C. (2007). Efficient gene delivery targeted to the brain using a transferrin-conjugated polyethyleneglycol-modified polyamidoamine dendrimer. The FASEB Journal, 21(4), 1117–1125. 10.1096/fj.06-7380com [DOI] [PubMed] [Google Scholar]
  103. Idbaih A, Canney M, Belin L, Desseaux C, Vignot A, Bouchoux G, Asquier N, Law-Ye B, Leclercq D, Bissery A, De Rycke Y, Trosch C, Capelle L, Sanson M, Hoang-Xuan K, Dehais C, Houillier C, Laigle-Donadey F, Mathon B, … Carpentier A. (2019). Safety and feasibility of repeated and transient blood–brain barrier disruption by pulsed ultrasound in patients with recurrent glioblastoma. Clinical Cancer Research, 25(13), 3793–3801. 10.1158/1078-0432.CCR-18-3643 [DOI] [PubMed] [Google Scholar]
  104. Iegiani G, Di Cunto F, & Pallavicini G. (2021). Inhibiting microcephaly genes as alternative to microtubule targeting agents to treat brain tumors. Cell Death & Disease, 12(11), 1–11. 10.1038/s41419-021-04259-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Iqbal S, Qu Y, Dong Z, Zhao J, Rauf Khan A, Rehman S, & Zhao Z. (2020). Poly (β-amino esters) based potential drug delivery and targeting polymer; an overview and perspectives (review). European Polymer Journal, 141, 110097. 10.1016/j.eurpolymj.2020.110097 [DOI] [Google Scholar]
  106. Jahangiri A, Chin AT, Flanigan PM, Chen R, Bankiewicz K, & Aghi MK (2017). Convection-enhanced delivery in glioblastoma: A review of preclinical and clinical studies. Journal of Neurosurgery, 126(1), 191–200. 10.3171/2016.1.JNS151591 [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Jaiswal S, Dutta PK, Kumar S, Koh J, & Pandey S. (2019). Methyl methacrylate modified chitosan: Synthesis, characterization and application in drug and gene delivery. Carbohydrate Polymers, 211, 109–117. 10.1016/j.carbpol.2019.01.104 [DOI] [PubMed] [Google Scholar]
  108. Janjua TI, Cao Y, Yu C, & Popat A. (2021). Clinical translation of silica nanoparticles. Nature Reviews Materials, 6(12), 1072–1074. 10.1038/s41578-021-00385-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Jensen SA, Day ES, Ko CH, Hurley LA, Luciano JP, Kouri FM, Merkel TJ, Luthi AJ, Patel PC, Cutler JI, Daniel WL, Scott AW, Rotz MW, Meade TJ, Giljohann DA, Mirkin CA, & Stegh AH (2013). Spherical nucleic acid nanoparticle conjugates as an RNAi-based therapy for glioblastoma. Science Translational Medicine, 5(209), 209ra152. 10.1126/scitranslmed.3006839 [DOI] [PMC free article] [PubMed] [Google Scholar]
  110. Jia Y, Niu D, Li Q, Huang H, Li X, Li K, Li L, Zhang C, Zheng H, Zhu Z, Yao Y, Zhao X, Li P, & Yang G. (2019). Effective gene delivery of sh BMP-9 using polyethyleneimine-based core–shell nanoparticles in an animal model of insulin resistance. Nanoscale, 11(4), 2008–2016. 10.1039/C8NR08193J [DOI] [PubMed] [Google Scholar]
  111. Jo A, Ringel-Scaia VM, McDaniel DK, Thomas CA, Zhang R, Riffle JS, Allen IC, & Davis RM (2020). Fabrication and characterization of PLGA nanoparticles encapsulating large CRISPR–Cas9 plasmid. Journal of Nanobiotechnology, 18(1), 16. 10.1186/s12951-019-0564-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Kapadia CH, Melamed JR, & Day ES (2018). Spherical nucleic acid nanoparticles: Therapeutic potential. BioDrugs: Clinical Immunotherapeutics, Biopharmaceuticals and Gene Therapy, 32(4), 297–309. 10.1007/s40259-018-0290-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  113. Karlsson J., Rhodes KR., Green JJ., & Tzeng SY. (2020). Poly(beta-amino ester)s as gene delivery vehicles: Challenges and opportunities. Expert Opinion on Drug Delivery, 17(10), 1395–1410. 10.1080/17425247.2020.1796628 [DOI] [PMC free article] [PubMed] [Google Scholar]
  114. Karlsson J, Tzeng SY, Hemmati S, Luly KM, Choi O, Rui Y, Wilson DR, Kozielski KL, Quiñones-Hinojosa A, & Green JJ (2021). Photocrosslinked bioreducible polymeric nanoparticles for enhanced systemic siRNA delivery as cancer therapy. Advanced Functional Materials, 31(17), 2009768. 10.1002/adfm.202009768 [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. Kawase W, Kurotaki D, Suzuki Y, Ishihara H, Ban T, Sato GR, Ichikawa J, Yanai H, Taniguchi T, Tsukahara K, & Tamura T. (2021). Irf5 siRNA-loaded biodegradable lipid nanoparticles ameliorate concanavalin A-induced liver injury. Molecular Therapy--Nucleic Acids, 25, 708–715. 10.1016/j.omtn.2021.08.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
  116. Keeler AM, & Flotte TR (2019). Recombinant adeno-associated virus gene therapy in light of Luxturna (and Zolgensma and Glybera): Where are we, and how did we get here? Annual Review of Virology, 6(1), 601–621. 10.1146/annurev-virology-092818-015530 [DOI] [PMC free article] [PubMed] [Google Scholar]
  117. Keinath MC, Prior DE, & Prior TW (2021). Spinal muscular atrophy: Mutations, testing, and clinical relevance. The Application of Clinical Genetics, 14, 11–25. 10.2147/TACG.S239603 [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Khalil AM (2020). The genome editing revolution: Review. Journal, Genetic Engineering & Biotechnology, 18, 68. 10.1186/s43141-020-00078-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  119. Khan SH (2019). Genome-editing technologies: Concept, pros, and cons of various genome-editing techniques and bioethical concerns for clinical application. Molecular Therapy--Nucleic Acids, 16, 326–334. 10.1016/j.omtn.2019.02.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  120. Kheraldine H, Rachid O, Habib AM, Al Moustafa A-E, Benter IF, & Akhtar S. (2021). Emerging innate biological properties of nano-drug delivery systems: A focus on PAMAM dendrimers and their clinical potential. Advanced Drug Delivery Reviews, 178, 113908. 10.1016/j.addr.2021.113908 [DOI] [PubMed] [Google Scholar]
  121. Khongkow M, Yata T, Boonrungsiman S, Ruktanonchai UR, Graham D, & Namdee K. (2019). Surface modification of gold nanoparticles with neuron-targeted exosome for enhanced blood–brain barrier penetration. Scientific Reports, 9(1), 8278. 10.1038/s41598-019-44569-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  122. Kim HJ, Cho KR, Jang H, Lee NK, Jung YH, Kim JP, Lee JI, Chang JW, Park S, Kim ST, Moon SW, Seo SW, Choi SJ, & Na DL (2021). Intracerebroventricular injection of human umbilical cord blood mesenchymal stem cells in patients with Alzheimer’s disease dementia: A phase I clinical trial. Alzheimer’s Research & Therapy, 13(1), 154. 10.1186/s13195-021-00897-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Kim J, Eygeris Y, Gupta M, & Sahay G. (2021). Self-assembled mRNA vaccines. Advanced Drug Delivery Reviews, 170, 83–112. 10.1016/j.addr.2020.12.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  124. Kim J, Mondal SK, Tzeng SY, Rui Y, Al-Kharboosh R, Kozielski KK, Bhargav AG, Garcia CA, Quiñones-Hinojosa A, & Green JJ (2020). Poly(ethylene glycol)-poly(beta-amino ester)-based nanoparticles for suicide gene therapy enhance brain penetration and extend survival in a preclinical human glioblastoma Orthotopic xenograft model. ACS Biomaterials Science & Engineering, 6(5), 2943–2955. 10.1021/acsbiomaterials.0c00116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  125. Kim J, Sunshine JC, & Green JJ (2014). Differential polymer structure tunes mechanism of cellular uptake and transfection routes of poly(β-amino ester) Polyplexes in human breast cancer cells. Bioconjugate Chemistry, 25(1), 43–51. 10.1021/bc4002322 [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Kim M, Jeong M, Hur S, Cho Y, Park J, Jung H, Seo Y, Woo HA, Nam KT, Lee K, & Lee H. (2021). Engineered ionizable lipid nanoparticles for targeted delivery of RNA therapeutics into different types of cells in the liver. Science Advances, 7(9), eabf4398. 10.1126/sciadv.abf4398 [DOI] [PMC free article] [PubMed] [Google Scholar]
  127. Knop K, Hoogenboom R, Fischer D, & Schubert US (2010). Poly(ethylene glycol) in drug delivery: Pros and cons as well as potential alternatives. Angewandte Chemie (International Edition in English), 49(36), 6288–6308. 10.1002/anie.200902672 [DOI] [PubMed] [Google Scholar]
  128. Kumthekar P. (2020). A phase 0 first-in-human study using NU-0129: A spherical nucleic acid (SNA) gold nanoparticle targeting BCL2L12 in recurrent glioblastoma multiforme or gliosarcoma patients (Clinical Trial Registration No. NCT03020017). clinicaltrials.gov. Retrieved from https://clinicaltrials.gov/ct2/show/NCT03020017 [Google Scholar]
  129. Kumthekar P, Ko CH, Paunesku T, Dixit K, Sonabend AM, Bloch O, Tate M, Schwartz M, Zuckerman L, Lezon R, Lukas RV, Jovanovic B, McCortney K, Colman H, Chen S, Lai B, Antipova O, Deng J, Li L, … Stegh AH (2021). A first-in-human phase 0 clinical study of RNA interference-based spherical nucleic acids in patients with recurrent glioblastoma. Science Translational Medicine, 13, eabb3945. 10.1126/scitranslmed.abb3945 [DOI] [PMC free article] [PubMed] [Google Scholar]
  130. Ladomersky E, Scholtens DM, Kocherginsky M, Hibler EA, Bartom ET, Otto-Meyer S, Zhai L, Lauing KL, Choi J, Sosman JA, Wu JD, Zhang B, Lukas RV, & Wainwright DA (2019). The coincidence between increasing age, immunosuppression, and the incidence of patients with glioblastoma. Frontiers in Pharmacology, 10, 200. 10.3389/fphar.2019.00200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  131. Lechan RM, & Toni R. (2000). Functional anatomy of the hypothalamus and pituitary. In Feingold KR, Anawalt B, Boyce A, Chrousos G, de Herder WW, Dhatariya K, Dungan K, Hershman JM, Hofland J, Kalra S, Kaltsas G, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrère B, Levy M, McGee EA, et al. (Eds.), Endotext. MDText.com, Inc. Retrieved from. http://www.ncbi.nlm.nih.gov/books/NBK279126/ [PubMed] [Google Scholar]
  132. Lee H. (2021). Effect of protein Corona on nanoparticle–lipid membrane binding: The binding strength and dynamics. Langmuir, 37(12), 3751–3760. 10.1021/acs.langmuir.1c00249 [DOI] [PubMed] [Google Scholar]
  133. Lee J, Sands I, Zhang W, Zhou L, & Chen Y. (2021). DNA-inspired nanomaterials for enhanced endosomal escape. Proceedings of the National Academy of Sciences of the United States of America, 118(19), e2104511118. 10.1073/pnas.2104511118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  134. Li M., Jiang S., Simon J., Paßlick D., Frey M-L., Wagne M., Mailänder V., Crespy D., & Landfester K. (2021). Brush conformation of polyethylene glycol determines the stealth effect of Nanocarriers in the Low protein adsorption regime. Nano Letters, 21(4), 1591–1598. 10.1021/acs.nanolett.0c03756 [DOI] [PMC free article] [PubMed] [Google Scholar]
  135. Li Q. (2020). Nusinersen as a therapeutic agent for spinal muscular atrophy. Yonsei Medical Journal, 61(4), 273–283. 10.3349/ymj.2020.61.4.273 [DOI] [PMC free article] [PubMed] [Google Scholar]
  136. Li Y, & Ju D. (2017). Chapter 12 - the application, neurotoxicity, and related mechanism of cationic polymers**conflict of interests: All the figures and Table in “the application, neurotoxicity, and related mechanism of cationic polymers” are original, unpublished materials designed and prepared by Yubin Li and Dianwen Ju. The authors declared that there’s no conflict of interests. In Jiang X. & Gao H. (Eds.), Neurotoxicity of nanomaterials and Nanomedicine (pp. 285–329). Academic Press. 10.1016/B978-0-12-804598-5.00012-X [DOI] [Google Scholar]
  137. Liang GF, Zhu YL, Sun B, Hu FH, Tian T, Li SC, & Xiao ZD (2011). PLGA-based gene delivering nanoparticle enhance suppression effect of miRNA in HePG2 cells. Nanoscale Research Letters, 6(1), 447. 10.1186/1556-276X-6-447 [DOI] [PMC free article] [PubMed] [Google Scholar]
  138. Lin C-Y, Hsieh H-Y, Pitt WG, Huang C-Y, Tseng I-C, Yeh C-K, Wei K-C, & Liu H-L (2015). Focused ultrasound-induced blood-brain barrier opening for non-viral, non-invasive, and targeted gene delivery. Journal of Controlled Release, 212, 1–9. 10.1016/j.jconrel.2015.06.010 [DOI] [PubMed] [Google Scholar]
  139. Lin G, Zhang H, & Huang L. (2015). Smart polymeric nanoparticles for cancer gene delivery. Molecular Pharmaceutics, 12(2), 314–321. 10.1021/mp500656v [DOI] [PMC free article] [PubMed] [Google Scholar]
  140. Linville RM, & Searson PC (2021). Next-generation in vitro blood–brain barrier models: Benchmarking and improving model accuracy. Fluids and Barriers of the CNS, 18(1), 56. 10.1186/s12987-021-00291-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  141. Liu C, Zhang P, Zhai X, Tian F, Li W, Yang J, Liu Y, Wang H, Wang W, & Liu W. (2012). Nano-carrier for gene delivery and bioimaging based on carbon dots with PEI-passivation enhanced fluorescence. Biomaterials, 33(13), 3604–3613. 10.1016/j.biomaterials.2012.01.052 [DOI] [PubMed] [Google Scholar]
  142. Lopez-Bertoni H, Kotchetkov IS, Mihelson N, Lal B, Rui Y, Ames H, Lugo-Fagundo M, Guerrero-Cazares H, Quiñones-Hinojosa A, Green JJ, & Laterra J. (2020). A Sox2:miR-486–5p Axis regulates survival of GBM cells by inhibiting tumor suppressor networks. Cancer Research, 80(8), 1644–1655. 10.1158/0008-5472.CAN-19-1624 [DOI] [PMC free article] [PubMed] [Google Scholar]
  143. Lopez-Bertoni H, Kozielski KL, Rui Y, Lal B, Vaughan H, Wilson DR, Mihelson N, Eberhart CG, Laterra J, & Green JJ (2018). Bioreducible polymeric nanoparticles containing multiplexed cancer stem cell regulating miRNAs inhibit glioblastoma growth and prolong survival. Nano Letters, 18(7), 4086–4094. 10.1021/acs.nanolett.8b00390 [DOI] [PMC free article] [PubMed] [Google Scholar]
  144. Lu Y, Qi J, & Wu W. (2018). Chapter 20—Lipid nanoparticles: In vitro and in vivo approaches in drug delivery and targeting. In Grumezescu AM(Ed.), Drug targeting and stimuli sensitive drug delivery systems (pp. 749–783). William Andrew Publishing. 10.1016/B978-0-12-813689-8.00020-3 [DOI] [Google Scholar]
  145. Lu Y, Yin Y, Mayers BT, & Xia Y. (2002). Modifying the surface properties of superparamagnetic iron oxide nanoparticles through A solgel approach. Nano Letters, 2(3), 183–186. 10.1021/nl015681q [DOI] [Google Scholar]
  146. Ludwig PE, Reddy V, & Varacallo M. (2021). Neuroanatomy, central nervous system (CNS). StatPearls Publishing. Retrieved from. http://www.ncbi.nlm.nih.gov/books/NBK442010/ [PubMed] [Google Scholar]
  147. Luly KM, Choi J, Rui Y, Green JJ, & Jackson EM (2020). Safety considerations for nanoparticle gene delivery in pediatric brain tumors. Nanomedicine, 15(18), 1805–1815. 10.2217/nnm-2020-0110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  148. Lundberg P, El-Andaloussi S, Sütlü T, Johansson H, & Langel U. (2007). Delivery of short interfering RNA using endosomolytic cellpenetrating peptides. FASEB Journal, 21(11), 2664–2671. 10.1096/fj.06-6502com [DOI] [PubMed] [Google Scholar]
  149. Luo S, Ma C, Zhu M-Q, Ju W-N, Yang Y, & Wang X. (2020). Application of iron oxide nanoparticles in the diagnosis and treatment of neurodegenerative diseases with emphasis on Alzheimer’s disease. Frontiers in Cellular Neuroscience, 14, 21. 10.3389/fncel.2020.00021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  150. Luo WY, Xing SQ, Zhu P, Zhang CG, Yang HM, Van Halm-Lutterodt N, Gu L, & Zhang H. (2019). PDZ scaffold protein CAL couples with metabotropic glutamate receptor 5 to protect against cell apoptosis and is a potential target in the treatment of Parkinson’s disease. Neurotherapeutics, 16(3), 761–783. 10.1007/s13311-019-00730-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  151. Ma F, Yang L, Sun Z, Chen J, Rui X, Glass Z, & Xu Q. (2020). Neurotransmitter-derived lipidoids (NT-lipidoids) for enhanced brain delivery through intravenous injection. Science Advances, 6(30), eabb4429. 10.1126/sciadv.abb4429 [DOI] [PMC free article] [PubMed] [Google Scholar]
  152. Ma X-X, Xu J-L, Jia Y-Y, Zhang Y-X, Wang W, Li C, He W, Zhou S-Y, & Zhang B-L (2020). Enhance transgene responses through improving cellular uptake and intracellular trafficking by bio-inspired non-viral vectors. Journal of Nanobiotechnology, 18(1), 26. 10.1186/s12951-020-0582-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  153. Ma Z, Zheng Y, Chao Z, Chen H, Zhang Y, Yin M, Shen J, & Yan S. (2022). Visualization of the process of a nanocarrier-mediated gene delivery: Stabilization, endocytosis and endosomal escape of genes for intracellular spreading. Journal of Nanobiotechnology, 20(1), 124. 10.1186/s12951-022-01336-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  154. Maggio I, Zittersteijn HA, Wang Q, Liu J, Janssen JM, Ojeda IT, van der Maarel SM, Lankester AC, Hoeben RC, & Gonçalves MAFV (2020). Integrating gene delivery and gene-editing technologies by adenoviral vector transfer of optimized CRISPR-Cas9 components. Gene Therapy, 27(5), 209–225. 10.1038/s41434-019-0119-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  155. Magill ST, Choy W, Nguyen MP, & McDermott MW (2020). Ommaya reservoir insertion: A technical note. Cureus, 12(4), e7731. 10.7759/cureus.7731 [DOI] [PMC free article] [PubMed] [Google Scholar]
  156. Mahdavi M., Ahmad MB., Haron MJ., Namvar F., Nadi B., Rahman MZA., & Amin J. (2013). Synthesis, surface modification and characterisation of biocompatible magnetic iron oxide nanoparticles for biomedical applications. Molecules (Basel, Switzerland), 18(7), 7533–7548. 10.3390/molecules18077533 [DOI] [PMC free article] [PubMed] [Google Scholar]
  157. Mainprize T, Lipsman N, Huang Y, Meng Y, Bethune A, Ironside S, Heyn C, Alkins R, Trudeau M, Sahgal A, Perry J, & Hynynen K. (2019). Blood-brain barrier opening in primary brain tumors with non-invasive MR-guided focused ultrasound: A clinical safety and feasibility study. Scientific Reports, 9(1), 321. 10.1038/s41598-018-36340-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  158. Malone RW (1989). Cationic liposome-mediated RNA transfection. Proceedings of the National Academy of Sciences of the United States of America, 86(16), 6077–6081. [DOI] [PMC free article] [PubMed] [Google Scholar]
  159. Mangraviti A, Tzeng SY, Gullotti D, Kozielski KL, Kim JE, Seng M, Abbadi S, Schiapparelli P, Sarabia-Estrada R, Vescovi A, Brem H, Olivi A, Tyler B, Green JJ, & Quinones-Hinojosa A. (2016). Non-virally engineered human adipose mesenchymal stem cells produce BMP4, target brain tumors, and extend survival. Biomaterials, 100, 53–66. 10.1016/j.biomaterials.2016.05.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  160. Mangraviti A, Tzeng SY, Kozielski KL, Wang Y, Jin Y, Gullotti D, Pedone M, Buaron N, Liu A, Wilson DR, Hansen SK, Rodriguez FJ, Gao G-D, DiMeco F, Brem H, Olivi A, Tyler B, & Green JJ (2015). Polymeric nanoparticles for nonviral gene therapy extend brain tumor survival in vivo. ACS Nano, 9(2), 1236–1249. 10.1021/nn504905q [DOI] [PMC free article] [PubMed] [Google Scholar]
  161. Maugeri M, Nawaz M, Papadimitriou A, Angerfors A, Camponeschi A, Na M, Hölttä M, Skantze P, Johansson S, Sundqvist M, Lindquist J, Kjellman T, Mårtensson I-L, Jin T, Sunnerhagen P, Östman S, Lindfors L, & Valadi H. (2019). Linkage between endosomal escape of LNP-mRNA and loading into EVs for transport to other cells. Nature Communications, 10(1), 4333. 10.1038/s41467-019-12275-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  162. McKinlay CJ, Vargas JR, Blake TR, Hardy JW, Kanada M, Contag CH, Wender PA, & Waymouth RM (2017). Chargealtering releasable transporters (CARTs) for the delivery and release of mRNA in living animals. Proceedings of the National Academy of Sciences of the United States of America, 114(4), E448–E456. 10.1073/pnas.1614193114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  163. Mehta AM, Sonabend AM, & Bruce JN (2017). Convection-enhanced delivery. Neurotherapeutics: The Journal of the American Society for Experimental NeuroTherapeutics, 14(2), 358–371. 10.1007/s13311-017-0520-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  164. Mendes BB, Conniot J, Avital A, Yao D, Jiang X, Zhou X, Sharf-Pauker N, Xiao Y, Adir O, Liang H, Shi J, Schroeder A, & Conde J. (2022). Nanodelivery of nucleic acids. Nature Reviews Methods Primers, 2(1), 1–21. 10.1038/s43586-022-00104-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  165. Migliore S, Jankovic J, & Squitieri F. (2019). Genetic counseling in Huntington’s disease: Potential new challenges on horizon? Frontiers in Neurology, 10, 453. 10.3389/fneur.2019.00453 [DOI] [PMC free article] [PubMed] [Google Scholar]
  166. Mikitsh JL, & Chacko A-M (2014). Pathways for small molecule delivery to the central nervous system across the blood-brain barrier. Perspectives in Medicinal Chemistry, 6, 11–24. 10.4137/PMC.S13384 [DOI] [PMC free article] [PubMed] [Google Scholar]
  167. Miller KD, Ostrom QT, Kruchko C, Patil N, Tihan T, Cioffi G, Fuchs HE, Waite KA, Jemal A, Siegel RL, & Barnholtz-Sloan JS (2021). Brain and other central nervous system tumor statistics, 2021. CA: a Cancer Journal for Clinicians, 71(5), 381–406. 10.3322/caac.21693 [DOI] [PubMed] [Google Scholar]
  168. Mitchell MJ, Billingsley MM, Haley RM, Wechsler ME, Peppas NA, & Langer R. (2021). Engineering precision nanoparticles for drug delivery. Nature Reviews Drug Discovery, 20(2), 101–124. 10.1038/s41573-020-0090-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  169. Möckl L. (2020). The emerging role of the mammalian Glycocalyx in functional membrane organization and immune system regulation. Frontiers in Cell and Development Biology, 8, 253. 10.3389/fcell.2020.00253 [DOI] [PMC free article] [PubMed] [Google Scholar]
  170. Moghaddam SPH, Mohammadpour R, & Ghandehari H. (2019). In vitro and in vivo evaluation of degradation, toxicity, biodistribution, and clearance of silica nanoparticles as a function of size, porosity, density, and composition. Journal of Controlled Release: Official Journal of the Controlled Release Society, 311–312, 1–15. 10.1016/j.jconrel.2019.08.028 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  171. Moku G. (2021). Polymeric nanoparticles for cancer gene therapy. Biomedical Journal of Scientific & Technical Research, 34(3), 26812–26815. 10.26717/BJSTR.2021.34.005563 [DOI] [Google Scholar]
  172. Monge-Fuentes V, Biolchi Mayer A, Lima MR, Geraldes LR, Zanotto LN, Moreira KG, Martins OP, Piva HL, Felipe MSS, Amaral AC, Bocca AL, Tedesco AC, & Mortari MR (2021). Dopamine-loaded nanoparticle systems circumvent the blood–brain barrier restoring motor function in mouse model for Parkinson’s disease. Scientific Reports, 11(1), 15185. 10.1038/s41598-021-94175-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  173. Mueller S. (2021). An Open Label Single Arm Phase I/II Study of MTX110 Delivered by Convection-enhanced Delivery (CED) in Patients With Diffuse Intrinsic Pontine Glioma (DIPG) Previously Treated With External Beam Radiation Therapy (Clinical Trial Registration No. NCT03566199). clinicaltrials.gov. Retrieved from https://clinicaltrials.gov/ct2/show/NCT03566199. [Google Scholar]
  174. Mulia GE, Picanço-Castro V, Stavrou EF, Athanassiadou A, & Figueiredo ML (2021). Advances in the development and the applications of nonviral, Episomal vectors for gene therapy. Human Gene Therapy, 32(19–20), 1076–1095. 10.1089/hum.2020.310 [DOI] [PMC free article] [PubMed] [Google Scholar]
  175. Mullin R. (2021). Cell and gene therapy: The next frontier in pharmaceutical services. Chemical and Engineering News. Retrieved from. https://cen.acs.org/business/outsourcing/Cell-and-gene-therapy-The-next-frontier-in-pharmaceutical-services/99/i14 [Google Scholar]
  176. Munkonge FM, Dean DA, Hillery E, Griesenbach U, & Alton EWFW (2003). Emerging significance of plasmid DNA nuclear import in gene therapy. Advanced Drug Delivery Reviews, 55(6), 749–760. 10.1016/S0169-409X(03)00050-4 [DOI] [PubMed] [Google Scholar]
  177. Munson MJ, O’Driscoll G, Silva AM, Lazaro-Ibañez E, Gallud A, Wilson JT, Collén A, Esbjörner EK, & Sabirsh A. (2021). A high-throughput Galectin-9 imaging assay for quantifying nanoparticle uptake, endosomal escape and functional RNA delivery. Communications Biology, 4(1), 1–14. 10.1038/s42003-021-01728-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  178. Nabhan JF, Wood KM, Rao VP, Morin J, Bhamidipaty S, LaBranche TP, Gooch RL, Bozal F, Bulawa CE, & Guild BC (2016). Intrathecal delivery of frataxin mRNA encapsulated in lipid nanoparticles to dorsal root ganglia as a potential therapeutic for Friedreich’s ataxia. Scientific Reports, 6(1), 20019. 10.1038/srep20019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  179. Najahi-Missaoui W., Arnold RD., & Cummings BS. (2020). Safe nanoparticles: Are we there yet? International Journal of Molecular Sciences, 22(1), E385. 10.3390/ijms22010385 [DOI] [PMC free article] [PubMed] [Google Scholar]
  180. Nakamura T, Kawai M, Sato Y, Maeki M, Tokeshi M, & Harashima H. (2020). The effect of size and charge of lipid nanoparticles prepared by microfluidic mixing on their lymph node transitivity and distribution. Molecular Pharmaceutics, 17(3), 944–953. 10.1021/acs.molpharmaceut.9b01182 [DOI] [PubMed] [Google Scholar]
  181. Negron K, Zhu C, Chen S-W, Shahab S, Rao D, Raabe EH, Eberhart CG, Hanes J, & Suk JS (2020). Non-adhesive and highlystable biodegradable nanoparticles that provide widespread and safe transgene expression in Orthotopic brain tumors. Drug Delivery and Translational Research, 10(3), 572–581. 10.1007/s13346-020-00759-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  182. Nguyen APT, Tsika E, Kelly K, Levine N, Chen X, West AB, Boularand S, Barneoud P, & Moore DJ (2020). Dopaminergic neurodegeneration induced by Parkinson’s disease-linked G2019S LRRK2 is dependent on kinase and GTPase activity. Proceedings of the National Academy of Sciences of the United States of America, 117(29), 17296–17307. 10.1073/pnas.1922184117 [DOI] [PMC free article] [PubMed] [Google Scholar]
  183. Nguyen B, & Tolia NH (2021). Protein-based antigen presentation platforms for nanoparticle vaccines. NPJ Vaccines, 6(1), 1–11. 10.1038/s41541-021-00330-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  184. Ooi YJ, Wen Y, Zhu J, Song X, & Li J. (2020). Surface charge switchable polymer/DNA nanoparticles responsive to tumor extracellular pH for tumor-triggered enhanced gene delivery. Biomacromolecules, 21(3), 1136–1148. 10.1021/acs.biomac.9b01521 [DOI] [PubMed] [Google Scholar]
  185. Ostrom QT, Cioffi G, Gittleman H, Patil N, Waite K, Kruchko C, & Barnholtz-Sloan JS (2019). CBTRUS statistical report: Primary brain and other central nervous system tumors diagnosed in the United States in 2012–2016. Neuro-Oncology, 21(Supplement_5), v1–v100. 10.1093/neuonc/noz150 [DOI] [PMC free article] [PubMed] [Google Scholar]
  186. Ostrom QT, Patil N, Cioffi G, Waite K, Kruchko C, & Barnholtz-Sloan JS (2020). CBTRUS statistical report: Primary brain and other central nervous system tumors diagnosed in the United States in 2013–2017. Neuro-Oncology, 22(Suppl 1), iv1–iv96. 10.1093/neuonc/noaa200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  187. Padmakumar S, Jones G, Khorkova O, Hsiao J, Kim J, Bleier BS, & Amiji MM (2021). Osmotic core-shell polymeric implant for sustained BDNF AntagoNAT delivery in CNS using minimally invasive nasal depot (MIND) approach. Biomaterials, 276, 120989. 10.1016/j.biomaterials.2021.120989 [DOI] [PMC free article] [PubMed] [Google Scholar]
  188. Padmakumar S, Jones G, Pawar G, Khorkova O, Hsiao J, Kim J, Amiji MM, & Bleier BS (2021). Minimally invasive nasal depot (MIND) technique for direct BDNF AntagoNAT delivery to the brain. Journal of Controlled Release: Official Journal of the Controlled Release Society, 331, 176–186. 10.1016/j.jconrel.2021.01.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  189. Pardridge WM (2020a). Blood-brain barrier and delivery of protein and gene therapeutics to brain. Frontiers in Aging Neuroscience, 11, 373. 10.3389/fnagi.2019.00373 [DOI] [PMC free article] [PubMed] [Google Scholar]
  190. Pardridge WM (2020b). Treatment of Alzheimer’s disease and blood–brain barrier drug delivery. Pharmaceuticals, 13(11), 394. 10.3390/ph13110394 [DOI] [PMC free article] [PubMed] [Google Scholar]
  191. Parkins EJ (1997). Cerebellum and cerebrum in adaptive control and cognition: A review. Biological Cybernetics, 77(2), 79–87. 10.1007/s004220050369 [DOI] [PubMed] [Google Scholar]
  192. Patel SG, Sayers EJ, He L, Narayan R, Williams TL, Mills EM, Allemann RK, Luk LYP, Jones AT, & Tsai Y-H (2019). Cell-penetrating peptide sequence and modification dependent uptake and subcellular distribution of green florescent protein in different cell lines. Scientific Reports, 9, 6298. 10.1038/s41598-019-42456-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  193. Paul M. (2017, May 12). First spherical nucleic acid drug injected into humans targets brain cancer. News Center. Retrieved from https://news.feinberg.northwestern.edu/2017/05/first-spherical-nucleic-acid-drug-injected-into-humans-targets-brain-cancer/. [Google Scholar]
  194. Peng J, & Liang X. (2019). Progress in research on gold nanoparticles in cancer management. Medicine, 98(18), e15311. 10.1097/MD.0000000000015311 [DOI] [PMC free article] [PubMed] [Google Scholar]
  195. Peng Z, Ji C, Zhou Y, Zhao T, & Leblanc RM (2020). Polyethylene glycol (PEG) derived carbon dots: Preparation and applications. Applied Materials Today, 20, 100677. 10.1016/j.apmt.2020.100677 [DOI] [Google Scholar]
  196. Perez-Martınez FC, Carrion B, & Cena V. (2012). The use of nanoparticles for gene therapy in the nervous system. Journal of Alzheimer’s Disease, 31(4), 697–710. [DOI] [PubMed] [Google Scholar]
  197. Perni S, & Prokopovich P. (2017). Poly-beta-amino-esters nano-vehicles based drug delivery system for cartilage. Nanomedicine, 13(2), 539–548. 10.1016/j.nano.2016.10.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  198. Perucca P, Bahlo M, & Berkovic SF (2020). The genetics of epilepsy. Annual Review of Genomics and Human Genetics, 21(1), 205–230. 10.1146/annurev-genom-120219-074937 [DOI] [PubMed] [Google Scholar]
  199. Phakatkar AH, Saray MT, Rasul MG, Sorokina LV, Ritter TG, Shokuhfar T, & Shahbazian-Yassar R. (2021). Ultrafast synthesis of high entropy oxide nanoparticles by flame spray pyrolysis. Langmuir, 37(30), 9059–9068. 10.1021/acs.langmuir.1c01105 [DOI] [PubMed] [Google Scholar]
  200. Piccirillo SGM, Reynolds BA, Zanetti N, Lamorte G, Binda E, Broggi G, Brem H, Olivi A, Dimeco F, & Vescovi AL (2006). Bone morphogenetic proteins inhibit the tumorigenic potential of human brain tumour-initiating cells. Nature, 444(7120), 761–765. 10.1038/nature05349 [DOI] [PubMed] [Google Scholar]
  201. Pinheiro RGR, Granja A, Loureiro JA, Pereira MC, Pinheiro M, Neves AR, & Reis S. (2020). RVG29-functionalized lipid nanoparticles for quercetin brain delivery and Alzheimer’s disease. Pharmaceutical Research, 37(7), 139. 10.1007/s11095-020-02865-1 [DOI] [PubMed] [Google Scholar]
  202. Prabha S, Arya G, Chandra R, Ahmed B, & Nimesh S. (2016). Effect of size on biological properties of nanoparticles employed in gene delivery. Artificial Cells, Nanomedicine, and Biotechnology, 44(1), 83–91. 10.3109/21691401.2014.913054 [DOI] [PubMed] [Google Scholar]
  203. Prieto-Callejero B., Rivera F., Fagundo-Rivera J., Romero A., Romero-Martín M., Gomez-Salgado J., & Ruiz-Frutos C. (2020). Relationship between chemotherapy-induced adverse reactions and health-related quality of life in patients with breast cancer. Medicine, 99(33), e21695. 10.1097/MD.0000000000021695 [DOI] [PMC free article] [PubMed] [Google Scholar]
  204. Qiu M, Li Y, Bloomer H, & Xu Q. (2021). Developing biodegradable lipid nanoparticles for intracellular mRNA delivery and genome editing. Accounts of Chemical Research, 54(21), 4001–4011. 10.1021/acs.accounts.1c00500 [DOI] [PubMed] [Google Scholar]
  205. Rai R, Alwani S, & Badea I. (2019). Polymeric nanoparticles in gene therapy: New avenues of design and optimization for delivery applications. Polymers, 11(4), 745. 10.3390/polym11040745 [DOI] [PMC free article] [PubMed] [Google Scholar]
  206. Ramamoorth M, & Narvekar A. (2015). Non viral vectors in gene therapy- an overview. Journal of Clinical and Diagnostic Research: JCDR, 9(1), GE01–GE06. 10.7860/JCDR/2015/10443.5394 [DOI] [PMC free article] [PubMed] [Google Scholar]
  207. Ramírez-García PD, Retamal JS, Shenoy P, Imlach W, Sykes M, Truong N, Constandil L, Pelissier T, Nowell CJ, Khor SY, Layani LM, Lumb C, Poole DP, Lieu T, Stewart GD, Mai QN, Jensen DD, Latorre R, Scheff NN, … Bunnett NW (2019). A pH-responsive nanoparticle targets the neurokinin 1 receptor in endosomes to prevent chronic pain. Nature Nanotechnology, 14(12), 1150–1159. 10.1038/s41565-019-0568-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  208. Rana MM (2021). Polymer-based nano-therapies to combat COVID-19 related respiratory injury: Progress, prospects, and challenges. Journal of Biomaterials Science. Polymer Edition, 32(9), 1219–1249. 10.1080/09205063.2021.1909412 [DOI] [PMC free article] [PubMed] [Google Scholar]
  209. Ray RM, Hansen AH, Taskova M, Jandl B, Hansen J, Soemardy C, Morris KV, & Astakhova K. (2021). Enhanced target cell specificity and uptake of lipid nanoparticles using RNA aptamers and peptides. Beilstein Journal of Organic Chemistry, 17(1), 891–907. 10.3762/bjoc.17.75 [DOI] [PMC free article] [PubMed] [Google Scholar]
  210. Rezigue M. (2020). Lipid and polymeric nanoparticles: Drug delivery applications. In Krishnan A& Chuturgoon A(Eds.), Integrative Nanomedicine for new therapies (pp. 167–230). Springer International Publishing. 10.1007/978-3-030-36260-7_7 [DOI] [Google Scholar]
  211. Rezvantalab S, Drude NI, Moraveji MK, Güvener N, Koons EK, Shi Y, Lammers T, & Kiessling F. (2018). PLGA-based nanoparticles in cancer treatment. Frontiers in Pharmacology, 9, 1260. 10.3389/fphar.2018.01260 [DOI] [PMC free article] [PubMed] [Google Scholar]
  212. Riban V, Fitzsimons HL, & During MJ (2009). Gene therapy in epilepsy. Epilepsia, 50(1), 24–32. 10.1111/j.1528-1167.2008.01743.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  213. Riyad JM, & Weber T. (2021). Intracellular trafficking of adeno-associated virus (AAV) vectors: Challenges and future directions. Gene Therapy, 28(12), 683–696. 10.1038/s41434-021-00243-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  214. Roma-Rodrigues C, Rivas-García L, Baptista PV, & Fernandes AR (2020). Gene therapy in cancer treatment: Why go Nano? Pharmaceutics, 12(3), 233. 10.3390/pharmaceutics12030233 [DOI] [PMC free article] [PubMed] [Google Scholar]
  215. Roper S, & Middleton S. (2021). Gene therapy manufacturing fails to meet demand: Implications for biopharma . L.E.K. Consulting. Retrieved from. https://www.lek.com/insights/ei/gene-therapy-manufacturing-fails-meet-demand-implications-biopharma [Google Scholar]
  216. Rosi NL, Giljohann DA, Thaxton CS, Lytton-Jean AKR, Han MS, & Mirkin CA (2006). Oligonucleotide-modified gold nanoparticles for intracellular gene regulation. Science (New York, N.Y.), 312(5776), 1027–1030. 10.1126/science.1125559 [DOI] [PubMed] [Google Scholar]
  217. Rui Y, Wilson DR, Tzeng SY, Yamagata HM, Sudhakar D, Conge M, Berlinicke CA, Zack DJ, Tuesca A, & Green JJ (2022). High-throughput and high-content bioassay enables tuning of polyester nanoparticles for cellular uptake, endosomal escape, and systemic in vivo delivery of mRNA. Science Advances, 8(1), eabk2855. 10.1126/sciadv.abk2855 [DOI] [PMC free article] [PubMed] [Google Scholar]
  218. Saha S, Yakati V, Shankar G, Jaggarapu MMCS, Moku G, Madhusudana K, Banerjee R, Ramkrishna S, Srinivas R, & Chaudhuri A. (2020). Amphetamine decorated cationic lipid nanoparticles cross the blood–brain barrier: Therapeutic promise for combating glioblastoma. Journal of Materials Chemistry B, 8(19), 4318–4330. 10.1039/C9TB02700A [DOI] [PubMed] [Google Scholar]
  219. Sainz-Ramos M, Gallego I, Villate-Beitia I, Zarate J, Maldonado I, Puras G, & Pedraz JL (2021). How far are non-viral vectors to come of age and reach clinical translation in gene therapy? International Journal of Molecular Sciences, 22(14), 7545. 10.3390/ijms22147545 [DOI] [PMC free article] [PubMed] [Google Scholar]
  220. Salameh JW, Zhou L, Ward SM, Santa Chalarca CF, Emrick T, & Figueiredo ML (2020). Polymer-mediated gene therapy: Recent advances and merging of delivery techniques. Wiley Interdisciplinary Reviews. Nanomedicine and Nanobiotechnology, 12(2), e1598. 10.1002/wnan.1598 [DOI] [PMC free article] [PubMed] [Google Scholar]
  221. Schaffer DV, Fidelman NA, Dan N, & Lauffenburger DA (2000). Vector unpacking as a potential barrier for receptor-mediated polyplex gene delivery. Biotechnology and Bioengineering, 67(5), 598–606. [DOI] [PubMed] [Google Scholar]
  222. Schlich M, Palomba R, Costabile G, Mizrahy S, Pannuzzo M, Peer D, & Decuzzi P. (2021). Cytosolic delivery of nucleic acids: The case of ionizable lipid nanoparticles. Bioengineering & Translational Medicine, 6(2), e10213. 10.1002/btm2.10213 [DOI] [PMC free article] [PubMed] [Google Scholar]
  223. Shahryari A, Burtscher I, Nazari Z, & Lickert H. (2021). Engineering gene therapy: Advances and barriers. Advanced Therapeutics, 4(9), 2100040. 10.1002/adtp.202100040 [DOI] [Google Scholar]
  224. Shahryari A, Saghaeian Jazi M, Mohammadi S, Razavi Nikoo H, Nazari Z, Hosseini ES, Burtscher I, Mowla SJ, & Lickert H. (2019). Development and clinical translation of approved gene therapy products for genetic disorders. Frontiers in Genetics, 10, 868. 10.3389/fgene.2019.00868 [DOI] [PMC free article] [PubMed] [Google Scholar]
  225. Sheffler ZM, Reddy V, & Pillarisetty LS (2021). Physiology, neurotransmitters. In StatPearls. StatPearls Publishing. Retrieved from. http://www.ncbi.nlm.nih.gov/books/NBK539894/ [PubMed] [Google Scholar]
  226. Shenoy D, Little S, Langer R, & Amiji M. (2005). Poly(ethylene oxide)-modified poly(β-amino Ester) nanoparticles as a pH-sensitive system for tumor-targeted delivery of hydrophobic drugs: Part I. In vitro evaluations. Molecular Pharmaceutics, 2(5), 357–366. 10.1021/mp0500420 [DOI] [PMC free article] [PubMed] [Google Scholar]
  227. Shi L., Zhang J., Zhao M., Tang S., Cheng X., Zhang W., Li W., Liu X., Peng H., & Wang Q. (2021). Effects of polyethylene glycol on the surface of nanoparticles for targeted drug delivery. Nanoscale, 13(24), 10748–10764. 10.1039/D1NR02065J [DOI] [PubMed] [Google Scholar]
  228. Shiraishi K, & Yokoyama M. (2019). Toxicity and immunogenicity concerns related to PEGylated-micelle carrier systems: A review. Science and Technology of Advanced Materials, 20(1), 324–336. 10.1080/14686996.2019.1590126 [DOI] [PMC free article] [PubMed] [Google Scholar]
  229. Shirley JL, de Jong YP, Terhorst C, & Herzog RW (2020). Immune responses to viral gene therapy vectors. Molecular Therapy, 28(3), 709–722. 10.1016/j.ymthe.2020.01.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  230. Shyam R, Ren Y, Lee J, Braunstein KE, Mao H-Q, & Wong PC (2015). Intraventricular delivery of siRNA nanoparticles to the central nervous system. Molecular Therapy--Nucleic Acids, 4, e242. 10.1038/mtna.2015.15 [DOI] [PubMed] [Google Scholar]
  231. Siegel RL, Miller KD, & Jemal A. (2020). Cancer statistics, 2020. CA: a Cancer Journal for Clinicians, 70(1), 7–30. 10.3322/caac.21590 [DOI] [PubMed] [Google Scholar]
  232. Slavc I, Cohen-Pfeffer JL, Gururangan S, Krauser J, Lim DA, Maldaun M, Schwering C, Shaywitz AJ, & Westphal M. (2018). Best practices for the use of intracerebroventricular drug delivery devices. Molecular Genetics and Metabolism, 124(3), 184–188. 10.1016/j.ymgme.2018.05.003 [DOI] [PubMed] [Google Scholar]
  233. Smith SA, Selby LI, Johnston APR, & Such GK (2018). The endosomal escape of nanoparticles: Toward more efficient cellular delivery. Bioconjugate Chemistry, 30, 263–272. 10.1021/acs.bioconjchem.8b00732 [DOI] [PubMed] [Google Scholar]
  234. Sokołowska E, & Błachnio-Zabielska AU (2019). A critical review of electroporation as A plasmid delivery system in mouse skeletal muscle. International Journal of Molecular Sciences, 20(11), 2776. 10.3390/ijms20112776 [DOI] [PMC free article] [PubMed] [Google Scholar]
  235. Souto EB, Silva GF, Dias-Ferreira J, Zielinska A, Ventura F, Durazzo A, Lucarini M, Novellino E, & Santini A. (2020). Nanopharmaceutics: Part I—Clinical trials legislation and good manufacturing practices (GMP) of Nanotherapeutics in the EU. Pharmaceutics, 12(2), 146. 10.3390/pharmaceutics12020146 [DOI] [PMC free article] [PubMed] [Google Scholar]
  236. Stine CA, & Munson JM (2019). Convection-enhanced delivery: Connection to and impact of interstitial fluid flow. Frontiers in Oncology, 9, 966. 10.3389/fonc.2019.00966 [DOI] [PMC free article] [PubMed] [Google Scholar]
  237. Stoker TB, & Barker RA (2020). Recent developments in the treatment of Parkinson’s disease. F1000Research, 9, F1000 Faculty Rev-862. 10.12688/f1000research.25634.1 [DOI] [Google Scholar]
  238. Sun Y, Liu H, Xing H, Lang L, Cheng L, Yang T, Yang L, & Ding P. (2019). Bioreducible poly(amido amine) copolymers derived from histamine and agmatine for highly efficient gene delivery. Polymer International, 68(3), 447–455. 10.1002/pi.5728 [DOI] [Google Scholar]
  239. Sung Y, & Kim S. (2019). Recent advances in the development of gene delivery systems. Biomaterials Research, 23(1), 8. 10.1186/s40824-019-0156-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  240. Sunshine JC, Peng DY, & Green JJ (2012). Uptake and transfection with polymeric nanoparticles are dependent on polymer end-group structure, but largely independent of nanoparticle physical and chemical properties. Molecular Pharmaceutics, 9(11), 3375–3383. 10.1021/mp3004176 [DOI] [PMC free article] [PubMed] [Google Scholar]
  241. Tamarov K, Wang JT-W, Kari J, Happonen E, Vesavaara I, Niemelä M, Perämäki P, Al-Jamal KT, Xu W, & Lehto V-P (2021). Comparison between fluorescence imaging and elemental analysis to determine biodistribution of inorganic nanoparticles with strong light absorption. ACS Applied Materials & Interfaces, 13(34), 40392–40400. 10.1021/acsami.1c11875 [DOI] [PMC free article] [PubMed] [Google Scholar]
  242. Tamimi AF, & Juweid M. (2017). Epidemiology and outcome of glioblastoma. In de Vleeschouwer S(Ed.), Glioblastoma. Codon Publications. Retrieved from. http://www.ncbi.nlm.nih.gov/books/NBK470003/ [PubMed] [Google Scholar]
  243. Tan AC, Ashley DM, Lopez GY, Malinzak M, Friedman HS, & Khasraw M. (2020). Management of glioblastoma: State of the art and future directions. CA: a Cancer Journal for Clinicians, 70(4), 299–312. 10.3322/caac.21613 [DOI] [PubMed] [Google Scholar]
  244. Tanaka H, Nakatani T, Furihata T, Tange K, Nakai Y, Yoshioka H, Harashima H, & Akita H. (2018). In vivo Introduction of mRNA encapsulated in lipid nanoparticles to brain neuronal cells and astrocytes via Intracerebroventricular administration. Molecular Pharmaceutics, 15(5), 2060–2067. 10.1021/acs.molpharmaceut.7b01084 [DOI] [PubMed] [Google Scholar]
  245. Tandel GS, Biswas M, Kakde OG, Tiwari A, Suri HS, Turk M, Laird JR, Asare CK, Ankrah AA, Khanna NN, Madhusudhan BK, Saba L, & Suri JS (2019). A review on a deep learning perspective in brain cancer classification. Cancers, 11(1), 111. 10.3390/cancers11010111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  246. Tang Y, Liu Y, Xie Y, Chen J, & Dou Y. (2020). Apoptosis of A549 cells by small interfering RNA targeting survivin delivery using poly-β-amino ester/guanidinylated O-carboxymethyl chitosan nanoparticles. Asian Journal of Pharmaceutical Sciences, 15(1), 121–128. 10.1016/j.ajps.2018.09.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  247. Taylor ZV, Khand B, Porgador A, Monsonego A, & Eremenko E. (2021). An optimized intracerebroventricular injection of CD4+ T cells into mice. STAR Protocols, 2(3), 100725. 10.1016/j.xpro.2021.100725 [DOI] [PMC free article] [PubMed] [Google Scholar]
  248. Teleanu DM, Chircov C, Grumezescu AM, & Teleanu RI (2019). Neurotoxicity of nanomaterials: An up-to-date overview. Nanomaterials, 9(1), 96. 10.3390/nano9010096 [DOI] [PMC free article] [PubMed] [Google Scholar]
  249. Tenchov R, Bird R, Curtze AE, & Zhou Q. (2021). Lipid nanoparticles—From liposomes to mRNA vaccine delivery, a landscape of research diversity and advancement. ACS Nano, 15(11), 16982–17015. 10.1021/acsnano.1c04996 [DOI] [PubMed] [Google Scholar]
  250. The Expanding Frontier of Nucleic Acid Therapeutics. (2022). Retrieved from https://www.nature.com/articles/d42473-021-00174-8.
  251. Thomas M, & Klibanov AM (2003). Conjugation to gold nanoparticles enhances polyethylenimine’s transfer of plasmid DNA into mammalian cells. Proceedings of the National Academy of Sciences, 100(16), 9138–9143. 10.1073/pnas.1233634100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  252. Thomas TJ, Tajmir-Riahi H-A, & Pillai CKS (2019). Biodegradable Polymers for Gene Delivery. Molecules (Basel, Switzerland), 24(20), E3744. 10.3390/molecules24203744 [DOI] [PMC free article] [PubMed] [Google Scholar]
  253. Topal GR., Mészaros M., Porkolab G., Szecskó A., Polgár TF., Siklós L., Deli MA., Veszelka S., & Bozkir A. (2021). ApoE-targeting increases the transfer of solid lipid nanoparticles with donepezil cargo across a culture model of the blood–brain barrier. Pharmaceutics, 13(1), 38. 10.3390/pharmaceutics13010038 [DOI] [PMC free article] [PubMed] [Google Scholar]
  254. Trevino J, Quispe R, Khan F, & Novak V. (2020). Non-invasive strategies for nose-to-brain drug delivery. Journal of Clinical Trials, 10(7), 439. [PMC free article] [PubMed] [Google Scholar]
  255. Tsai L-H, Yen C-H, Hsieh H-Y, & Young T-H (2021). Doxorubicin loaded PLGA nanoparticle with cationic/anionic polyelectrolyte decoration: Characterization, and its therapeutic potency. Polymers, 13(5), 693. 10.3390/polym13050693 [DOI] [PMC free article] [PubMed] [Google Scholar]
  256. Tumani H, Huss A, & Bachhuber F. (2018). Chapter 2—The cerebrospinal fluid and barriers – Anatomic and physiologic considerations. In Deisenhammer F, Teunissen CE, & Tumani H. (Eds.), Handbook of clinical neurology (Vol. 146, pp. 21–32). Elsevier. 10.1016/B978-0-12-804279-3.00002-2 [DOI] [PubMed] [Google Scholar]
  257. Tuszynski M. (2021). A phase I study to assess the safety, tolerability and preliminary efficacy of AAV2-BDNF [adeno-associated virus (AAV)-based, vector-mediated delivery of human brain derived neurotrophic factor] in subjects with early Alzheimer’s disease and mild cognitive impairment (Clinical Trial Registration No. NCT05040217). clinicaltrials.gov. Retrieved from https://clinicaltrials.gov/ct2/show/NCT05040217. [Google Scholar]
  258. Tzeng SY, & Green JJ (2018). Polymeric nucleic acid delivery for Immunoengineering. Current Opinion in Biomedical Engineering, 7, 42–50. 10.1016/j.cobme.2018.09.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  259. Ullah I, Zhao J, Su B, Rukh S, Guo J, Ren X-K, Xia S, Zhang W, & Feng Y. (2020). Redox stimulus disulfide conjugated polyethyleneimine as a shuttle for gene transfer. Journal of Materials Science. Materials in Medicine, 31(12), 118. 10.1007/s10856-020-06457-8 [DOI] [PubMed] [Google Scholar]
  260. University College, London. (2020). Phase I/IIa, First-in-human, open-label, single-site trial of in-vivo lentiviral engineered potassium (K+) channel (EKC) gene therapy for refractory epilepsy (Clinical Trial Registration No. NCT04601974). clinicaltrials.gov. Retrieved from https://clinicaltrials.gov/ct2/show/NCT04601974. [Google Scholar]
  261. Urello MA, Xiang L, Colombo R, Ma A, Joseph A, Boyd J, Peterson N, Gao C, Wu H, & Christie RJ (2020). Metabolite-based modification of poly(l-lysine) for improved gene delivery. Biomacromolecules, 21(9), 3596–3607. 10.1021/acs.biomac.0c00614 [DOI] [PubMed] [Google Scholar]
  262. Urits I, Swanson D, Swett MC, Patel A, Berardino K, Amgalan A, Berger AA, Kassem H, Kaye AD, & Viswanath O. (2020). A review of Patisiran (ONPATTRO®) for the treatment of polyneuropathy in people with hereditary transthyretin amyloidosis. Neurology and Therapy, 9(2), 301–315. 10.1007/s40120-020-00208-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  263. Vaughan HJ, Green JJ, & Tzeng SY (2020). Cancer-targeting nanoparticles for combinatorial nucleic acid delivery. Advanced Materials, 32(13), 1901081. 10.1002/adma.201901081 [DOI] [PMC free article] [PubMed] [Google Scholar]
  264. Vermeulen LMP, De Smedt SC, Remaut K, & Braeckmans K. (2018). The proton sponge hypothesis: Fable or fact? European Journal of Pharmaceutics and Biopharmaceutics, 129, 184–190. 10.1016/j.ejpb.2018.05.034 [DOI] [PubMed] [Google Scholar]
  265. Vigh JP, Kincses A, Ozgür B, Walter FR, Santa-Maria AR, Valkai S, Vastag M, Neuhaus W, Brodin B, Dér A, & Deli MA (2021). Transendothelial electrical resistance measurement across the blood-brain barrier: A critical review of methods. Micromachines, 12(6), 685. 10.3390/mi12060685 [DOI] [PMC free article] [PubMed] [Google Scholar]
  266. von Palubitzki L, Wang Y, Hoffmann S, Vidal-y-Sy S, Zobiak B, Failla AV, Schmage P, John A, Osorio-Madrazo A, Bauer AT, Schneider SW, Goycoolea FM, & Gorzelanny C. (2020). Differences of the tumour cell glycocalyx affect binding of capsaicin-loaded chitosan nanocapsules. Scientific Reports, 10(1), 22443. 10.1038/s41598-020-79882-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  267. Vuksanaj K. (2020, August 3). Overcoming scale-up challenges in gene therapy manufacturing. GEN - Genetic Engineering and Biotechnology News. Retrieved from. https://www.genengnews.com/insights/overcoming-scale-up-challenges-in-gene-therapymanufacturing/ [Google Scholar]
  268. Wadhwa A, Aljabbari A, Lokras A, Foged C, & Thakur A. (2020). Opportunities and challenges in the delivery of mRNA-based vaccines. Pharmaceutics, 12(2), 102. 10.3390/pharmaceutics12020102 [DOI] [PMC free article] [PubMed] [Google Scholar]
  269. Waldron D. (2017). In vivo gene editing in non-dividing cells. Nature Reviews Genetics, 18(1), 1. 10.1038/nrg.2016.158 [DOI] [PubMed] [Google Scholar]
  270. Wang L, Zhao X, Du J, Liu M, Feng J, & Hu K. (2019). Improved brain delivery of pueraria flavones via intranasal administration of borneol-modified solid lipid nanoparticles. Nanomedicine, 14(16), 2105–2119. 10.2217/nnm-2018-0417 [DOI] [PubMed] [Google Scholar]
  271. Wen Y, Pan S, Luo X, Zhang X, Zhang W, & Feng M. (2009). A biodegradable low molecular weight polyethylenimine derivative as low toxicity and efficient gene vector. Bioconjugate Chemistry, 20(2), 322–332. 10.1021/bc800428y [DOI] [PubMed] [Google Scholar]
  272. WHO EMRO. (2021). Stroke, Cerebrovascular accident. Health topics. World Health Organization - Regional Office for the Eastern Mediterranean. Retrieved from. http://www.emro.who.int/health-topics/stroke-cerebrovascular-accident/index.html
  273. Winkle M, El-Daly SM, Fabbri M, & Calin GA (2021). Noncoding RNA therapeutics—Challenges and potential solutions. Nature Reviews Drug Discovery, 20(8), 629–651. 10.1038/s41573-021-00219-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  274. Wu D, Zhu X, Ao J, Song E, & Song Y. (2021). Delivery of Ultrasmall nanoparticles to the cytosolic compartment of Pyroptotic J774A.1 macrophages via GSDMDNterm membrane pores. ACS Applied Materials & Interfaces, 13(43), 50823–50835. 10.1021/acsami.1c17382 [DOI] [PubMed] [Google Scholar]
  275. Wusiman A, Gu P, Liu Z, Xu S, Zhang Y, Hu Y, Liu J, Wang D, & Huang X. (2019). Cationic polymer modified PLGA nanoparticles encapsulating Alhagi honey polysaccharides as a vaccine delivery system for ovalbumin to improve immune responses. International Journal of Nanomedicine, 14, 3221–3234. 10.2147/IJN.S203072 [DOI] [PMC free article] [PubMed] [Google Scholar]
  276. Yang L., Kuang H., Zhang W., Aguilar ZP., Wei H., & Xu H. (2017). Comparisons of the biodistribution and toxicological examinations after repeated intravenous administration of silver and gold nanoparticles in mice. Scientific Reports, 7(1), 3303. 10.1038/s41598-017-03015-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  277. Yang Q, Zhou Y, Chen J, Huang N, Wang Z, & Cheng Y. (2021). Gene therapy for drug-resistant glioblastoma via lipid-polymer hybrid nanoparticles combined with focused ultrasound. International Journal of Nanomedicine, 16, 185–199. 10.2147/IJN.S286221 [DOI] [PMC free article] [PubMed] [Google Scholar]
  278. Yang Y, Zhang M, Song H, & Yu C. (2020). Silica-based nanoparticles for biomedical applications: From Nanocarriers to biomodulators. Accounts of Chemical Research, 53(8), 1545–1556. 10.1021/acs.accounts.0c00280 [DOI] [PubMed] [Google Scholar]
  279. Zhang J. (2019). Secrets of the brain: An Introduction to the brain anatomical structure and biological function. ArXiv:1906.03314 [Cs, qBio]. Retrieved from http://arxiv.org/abs/1906.03314. [Google Scholar]
  280. Zhang J, Li M, Wang M, Xu H, Wang Z, Li Y, Ding B, & Gao J. (2021). Effects of the surface charge of polyamidoamine dendrimers on cellular exocytosis and the exocytosis mechanism in multidrug-resistant breast cancer cells. Journal of Nanobiotechnology, 19(1), 135. 10.1186/s12951-021-00881-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  281. Zhang S, Cheng Z, Wang Y, & Han T. (2021). The risks of miRNA therapeutics: In a drug target perspective. Drug Design, Development and Therapy, 15, 721–733. 10.2147/DDDT.S288859 [DOI] [PMC free article] [PubMed] [Google Scholar]
  282. Zhang Y, Lai BS, & Juhas M. (2019). Recent advances in Aptamer discovery and applications. Molecules, 24(5), 941. 10.3390/molecules24050941 [DOI] [PMC free article] [PubMed] [Google Scholar]
  283. Zhang Y, Lin L, Liu L, Liu F, Maruyama A, Tian H, & Chen X. (2018). Ionic-crosslinked polysaccharide/PEI/DNA nanoparticles for stabilized gene delivery. Carbohydrate Polymers, 201, 246–256. 10.1016/j.carbpol.2018.08.063 [DOI] [PubMed] [Google Scholar]
  284. Zhang Y, Wang Y, Boado RJ, & Pardridge WM (2008). Lysosomal enzyme replacement of the brain with intravenous non-viral gene transfer. Pharmaceutical Research, 25(2), 400–406. 10.1007/s11095-007-9357-6 [DOI] [PubMed] [Google Scholar]
  285. Zhang Z-A, Xin X, Liu C, Liu Y, Duan H-X, Qi L, Zhang Y-Y, Zhao H, Chen L-Q, Jin M-J, Gao Z-G, & Huang W. (2021). Novel brain-targeted nanomicelles for anti-glioma therapy mediated by the ApoE-enriched protein corona in vivo. Journal of Nanobiotechnology, 19(1), 453. 10.1186/s12951-021-01097-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  286. Zheng M, Pan M, Zhang W, Lin H, Wu S, Lu C, Tang S, Liu D, & Cai J. (2021). Poly(α-l-lysine)-based nanomaterials for versatile biomedical applications: Current advances and perspectives. Bioactive Materials, 6(7), 1878–1909. 10.1016/j.bioactmat.2020.12.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  287. Zhou L-Y, Zhu Y-H, Wang X-Y, Shen C, Wei X-W, Xu T, & He Z-Y (2020). Novel zwitterionic vectors: Multi-functional delivery systems for therapeutic genes and drugs. Computational and Structural Biotechnology Journal, 18, 1980–1999. 10.1016/j.csbj.2020.07.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  288. Zhu L, Pelaz B, Chakraborty I, & Parak WJ (2019). Investigating possible enzymatic degradation on polymer shells around inorganic nanoparticles. International Journal of Molecular Sciences, 20(4), 935. 10.3390/ijms20040935 [DOI] [PMC free article] [PubMed] [Google Scholar]
  289. Zu H, & Gao D. (2021). Non-viral vectors in gene therapy: Recent development, challenges, and prospects. The AAPS Journal, 23(4), 78. 10.1208/s12248-021-00608-7 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

RESOURCES