| Literature DB >> 32102252 |
Ana P Spencer1,2,3, Marília Torrado1,2,4, Beatriz Custódio1,2,4, Sara C Silva-Reis1,2, Sofia D Santos1,2, Victoria Leiro1,2, Ana P Pêgo1,2,3,4.
Abstract
Central nervous system (CNS) disorders encompass a vast spectrum of pathological conditions and represent a growing concern worldwide. Despite the high social and clinical interest in trying to solve these pathologies, there are many challenges to bridge in order to achieve an effective therapy. One of the main obstacles to advancements in this field that has hampered many of the therapeutic strategies proposed to date is the presence of the CNS barriers that restrict the access to the brain. However, adequate brain biodistribution and neuronal cells specific accumulation in the targeted site also represent major hurdles to the attainment of a successful CNS treatment. Over the last few years, nanotechnology has taken a step forward towards the development of therapeutics in neurologic diseases and different approaches have been developed to surpass these obstacles. The versatility of the designed nanocarriers in terms of physical and chemical properties, and the possibility to functionalize them with specific moieties, have resulted in improved neurotargeted delivery profiles. With the concomitant progress in biology research, many of these strategies have been inspired by nature and have taken advantage of physiological processes to achieve brain delivery. Here, the different nanosystems and targeting moieties used to achieve a neuronal delivery reported in the open literature are comprehensively reviewed and critically discussed, with emphasis on the most recent bioinspired advances in the field. Finally, we express our view on the paramount challenges in targeted neuronal delivery that need to be overcome for these promising therapeutics to move from the bench to the bedside.Entities:
Keywords: CNS disorders; bioinspired; drug delivery; nanocarriers; nanomedicine; neurotargeting
Year: 2020 PMID: 32102252 PMCID: PMC7076453 DOI: 10.3390/pharmaceutics12020192
Source DB: PubMed Journal: Pharmaceutics ISSN: 1999-4923 Impact factor: 6.321
Figure 1Schematic representation of nanoparticles based on inorganic, lipid, polymer and dendrimer nanostructures applied as therapeutics delivery vectors. Parts of the figure were made with BioRender.
Figure 2(A). Main features of the nanosystems influencing delivery efficiency. Nanoparticles (NPs) can be classified into inorganic (e.g., gold, silica, silver), lipidic, polymeric and dendritic. NPs can be tuned regarding their size (preferably under 100 nm for CNS applications) and are able to bind drugs by the establishment of different bonds/interactions between the functional groups of the drugs and the vector (the atoms were represented according to the standard CPK coloring rules). The NP surface charge can be positive, negative or neutral. Additionally, NPs can be functionalized with different types of targeting ligand, such as aptamers, antibodies, peptides and proteins. The impact of these features on NP performance are further explored in this review. Adapted with permission from: Saraiva et al., Journal of Controlled Release; published by Elsevier, 4773020068925 [98]. Parts of the figure were made with BioRender. (B). The influence among the main physicochemical properties of nanosystems and principal biological factors. The color bars represent the interrelationship between the different properties.
Figure 3Nanoparticle passage through the CNS barriers as a function of their administration route (intracerebral, cerebroventricular or cerebrospinal and systemic). The figure was created with BioRender.
Promising neurotargeting moieties and delivery vectors.
| Nature | Targeting Moiety | MW | Associated Vectors | Receptors | Reference |
|---|---|---|---|---|---|
| Protein | Lf | 80 kD | PAMAM | Lf receptors | [ |
| PPI | LRP1 | [ | |||
| PEG-PLA-PCL | LRP2 | [ | |||
| SLN | [ | ||||
| Liposome | [ | ||||
| BDNF | 28 kD | n.a. | TrkB | [ | |
| AEPO | ~30 kD | Liposome | Erythropoietin receptors | ||
| nAChR | |||||
| RVG | 65 kD | n.a. | |||
| Protein domain | CTb | 55 kD | PDL | GM1 | [ |
| TeNT | 50 kDa | Liposome | GT1b and | [ | |
| PLGA | SV2 | [ | |||
| TMC | [ | ||||
| PEI | [ | ||||
| BoNT | 50 kDa | Liposome | SV2 and synaptotagmin | [ | |
| n.k. | |||||
| Ts1 | 8 kDa | AuNP | [ | ||
| Peptides | Molossin | 2 kDa | PLL | Integrin | [ |
| CDX | 29 kDa | Liposome | nAChR | [ | |
| Tet1 | 1.5 kDa | PEI | GT1b | [ | |
| Chitosan | [ | ||||
| RVG29 | 3.3 kDa | PAMAM | nAChR | [ | |
| PEI | [ | ||||
| TMC | [ | ||||
| IKRG | 0.5 kDa | PCL | TrkB | [ | |
| LM22A-1 | 0.5 kDa | n.a. | TrkB | ||
| NT | 1.7 kDa | PLL | NTR-1 | [ | |
| TaxI | 1.4 kDa | n.a. | n.k. | ||
| Angiopep-2 | 2.3 kDa | PLL | LRP1 | [ | |
| PAMAM | [ | ||||
| PEG-PCL | [ | ||||
| SLN | [ | ||||
| PLGA | [ | ||||
| Liposome | [ | ||||
| AuNPs | [ | ||||
| Tf2 | 1.2 kDa | PLGA | TfR | [ | |
| AuNPs | [ | ||||
| Leptin30 | 3.6 kDa | PLL | ObR | [ | |
| Pep-TGN | 1.3 kDa | PLGA | n.k. | [ | |
| CTX | 4 kDa | PEI dendrimer | Chloride channels and MMP2 | [ | |
| IONPs | [ | ||||
| Antibodies | OX26 | 85–95 kDa | Chitosan | TfR | [ |
| Liposome | [ | ||||
| 8D3 | 22 kDa | AuNP | TfR | [ | |
| MC192 | 75 kDa | PLL | p75NTR | [ | |
| 83-14 murine | ~60 kDa | Liposome | Insulin receptor | [ | |
| SLN | [ | ||||
| Aptamers | AS1411 | ~8 kDa | PLGA | Nucleolin | [ |
| GMT8 | n.k. | PCL | n.k. | [ | |
| Aptamer17 | 26 kDa | n.a. | n.k. |
Lf, lactoferrin, BDNF, brain-derived neurotrophic factor, AEPO, asialoerythropoietin, RVG, rabies virus glycoprotein, CTb, cholera toxin b, TeNT tetanus neurotoxin, BoNT, botulinum neurotoxin, NT, neurotensin, TaxI targeted axonal import, AuNP, gold nanoparticle, Tf2, transferrin peptide 2, CTX, chlorotoxin, PAMAM, poly(amido amine) dendrimer, PPI, poly(propylene imine), PEG-PLA-PCL, polyethylene glycol-polylactic acid-polycaprolactone, SLN, solid lipid nanoparticle, PDL, poly(d-lysine), PLGA, poly(lactic-co-glycolic acid), TMC trimethyl chitosan, PEI, poly(ethylene imine), AuNP, gold nanoparticle, PLL, poly (l-Lysine), PCL Poly(ε-caprolactone), PEG-PCL, polyethylene glycol-polycaprolactone, IONPs, iron oxide nanoparticles, LRP1, lipoprotein receptor-related protein-1, LRP2, lipoprotein receptor-related protein-2, TrkB, tropomyosin-related kinase B, nAChR, nicotinic acetylcholine receptor, NTR-1 neurotensin receptor 1, ObR, astrocyte leptin receptor, TfR, transferrin receptors, MMP2, matrix metalloproteinase-2, n.a., not applied yet, n.k., not known (to the best of our knowledge).