Literature DB >> 31995252

Systemic Brain Delivery of Antisense Oligonucleotides across the Blood-Brain Barrier with a Glucose-Coated Polymeric Nanocarrier.

Hyun Su Min1, Hyun Jin Kim2, Mitsuru Naito2, Satomi Ogura1, Kazuko Toh3, Kotaro Hayashi3, Beob Soo Kim1, Shigeto Fukushima3, Yasutaka Anraku3,4, Kanjiro Miyata1, Kazunori Kataoka3,5.   

Abstract

Current antisense oligonucleotide (ASO) therapies for the treatment of central nervous system (CNS) disorders are performed through invasive administration, thereby placing a major burden on patients. To alleviate this burden, we herein report systemic ASO delivery to the brain by crossing the blood-brain barrier using glycemic control as an external trigger. Glucose-coated polymeric nanocarriers, which can be bound by glucose transporter-1 expressed on the brain capillary endothelial cells, are designed for stable encapsulation of ASOs, with a particle size of about 45 nm and an adequate glucose-ligand density. The optimized nanocarrier efficiently accumulates in the brain tissue 1 h after intravenous administration and exhibits significant knockdown of a target long non-coding RNA in various brain regions, including the cerebral cortex and hippocampus. These results demonstrate that the glucose-modified polymeric nanocarriers enable noninvasive ASO administration to the brain for the treatment of CNS disorders.
© 2020 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA.

Entities:  

Keywords:  antisense oligonucleotides; blood-brain barrier; drug delivery; micelles; self-assembly

Mesh:

Substances:

Year:  2020        PMID: 31995252      PMCID: PMC7317551          DOI: 10.1002/anie.201914751

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


Introduction

Recently, antisense oligonucleotide (ASO) therapies have been rigorously developed for the treatment of central nervous system (CNS) disorders, such as Alzheimer's disease, Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS).1, 2 This development relies on the fact that ASOs can delay the disease onset or halt the disease progression through target gene knockdown or splicing modulation.3 In 2018, Spinraza® was approved as an ASO drug (or a splicing modulator for the survival motor neuron gene) for the treatment of spinal muscular atrophy by the US Food and Drug Administration.4 However, such ASO drugs require administration by highly invasive routes, for example, intrathecal or intracerebroventricular administration, because the accessibility (or availability) of ASO drugs to the CNS through the bloodstream is miserably low due to the tightly connected cerebrovascular endothelium or brain capillary endothelial cells (BCECs), that is, the blood–brain barrier (BBB).5 The BBB prevents free permeation of molecules larger than 400 Da, including ASO drugs (approximately 7000 Da), between the bloodstream and the brain parenchyma.5 Therefore, systemic ASO delivery to the brain remains to be one of the most challenging issues in drug delivery and ASO therapeutics.1 Here, with the aim of tackling this issue, we developed multiple glucose‐modified nanocarriers capable of crossing the BBB with the aid of active translocation of glucose‐transporter 1 (GLUT1) from the apical to the basal side of the BCECs. A major reason to focus on GLUT1, a protein of 54 kDa that is abundantly expressed on the plasma membrane surface of the BCECs,6 is its unique feature that has been recently discovered by our group:7 it undergoes prompt translocation from the apical to the basal side of the BCEC membrane, presumably through the endo‐/exo‐cytosis (transcytosis) process, responding to an increase in blood glucose level after 16–24 h of fasting (glycemic control). Interestingly, systemically injected glucose‐modified nanoparticles that exhibit multivalent interaction with GLUT1 molecules on the apical side of the BCECs are carried together with the GLUT1 molecules toward the basal side of the BCECs under the condition of glycemic control, and are ultimately released into the brain parenchyma. Apparently, the binding/dissociation balance of glucose‐modified nanoparticles to/from GLUT1 molecules is important in this serial process of binding–translocation–releasing; the appreciably low affinity of glucose to GLUT1 (K D=3 mm)8 is favorable because the binding/dissociation balance can be managed over a wide range by varying the number and density of glucose ligands on each of the nanoparticles. This regulates the multivalent interactions, by which the whole affinity is determined as the integration of the weak affinity between each of the components,9 in this case GLUT1 and glucose. The key characteristics required for the development of a BBB‐crossing nanocarrier for ASO delivery are the following: 1) longevity in the blood circulation after systemic injection, 2) feasible density tuning of the glucose ligands exposed on the nanocarrier surface to optimize GLUT1‐mediated transport across the BCEC layer, and 3) smooth cargo ASO release in the appropriate site of action in the brain parenchyma. Thus, we chose a polyion complex micelle (PIC/M) self‐assembled from poly(ethylene glycol)‐b‐poly(l‐lysine) modified with 3‐mercaptopropyl amidine and 2‐thiolaneimine (PEG‐PLL(MPA/IM)) block copolymer and ASO through electrostatic interaction as the platform structure for the BBB‐crossing nanocarrier.10, 11, 12 The ASO in PIC/M is captured in the core, surrounded by the shell of densely associated PEG strands to ensure longevity in blood circulation. Furthermore, disulfide crosslinking is introduced in the PIC/M core by partially derivatizing the side chain of the poly(l‐lysine) segment in the PEG‐PLL with sulfhydryl groups (Figure 1).10, 11, 12 In this way, while the PIC/M becomes more robust in the nonreductive blood compartment due to the formation of disulfide crosslinking in the core, it undergoes destabilization in the reductive condition of the brain through the cleavage of disulfide bonds to release the cargo ASO. The 2‐thiolaneimine groups are also introduced in the poly(l‐lysine) segment to further stabilize the micelle structure through hydrophobic/dipole interactions. It is worthy emphasizing that density tuning of the glucose‐ligands on the PIC/M surface is easily achieved by changing the mixing ratio of the block copolymers with and without the glucose moiety at the distal end of the PEG segment.
Figure 1

Schematic illustration of the present study for systemic ASO delivery to the brain. ASO‐loaded glucosylated‐polyion complex micelles (Glu‐PIC/Ms) are prepared from the ASO and a mixture of Glu‐PEG‐PLL(MPA/IM) and MeO‐PEG‐PLL(MPA/IM) with varying numbers of glucose ligands on the PIC/Ms. The glucose solution is intraperitoneally injected into overnight‐fasting mice to trigger GLUT1 translocation and recycling. Then, Glu‐PIC/Ms are intravenously administrated into the mice for the GLUT1‐mediated transcytosis from the bloodstream to the brain parenchyma.

Schematic illustration of the present study for systemic ASO delivery to the brain. ASO‐loaded glucosylated‐polyion complex micelles (Glu‐PIC/Ms) are prepared from the ASO and a mixture of GluPEG‐PLL(MPA/IM) and MeO‐PEG‐PLL(MPA/IM) with varying numbers of glucose ligands on the PIC/Ms. The glucose solution is intraperitoneally injected into overnight‐fasting mice to trigger GLUT1 translocation and recycling. Then, Glu‐PIC/Ms are intravenously administrated into the mice for the GLUT1‐mediated transcytosis from the bloodstream to the brain parenchyma. As described above, ASO‐loaded glucosyl‐PIC/M with optimized composition was prepared, aiming to achieve delivery of ASO into multiple regions of the brain parenchyma with appreciably high efficiency (approximately 6 % dose g−1 of brain) within 1 h after intravenous administration under glycemic control. Furthermore, knockdown of the model target non‐coding RNA, the metastasis‐associated lung adenocarcinoma transcript 1 (MALAT1) long non‐coding RNA (lncRNA), as high as 40 %, was achieved in the major regions of the brain, namely, the cerebral cortex and hippocampus; this was achieved by just a single intravenous injection, indicating a promising utility of ASO‐loaded glucosyl‐PIC/M for the treatment of various CNS disorders using the systemic route.

Results and Discussion

Preparation and Characterization of the Glu‐PIC/Ms

For the synthesis of GluPEG‐PLL(MPA/IM), a hetero bifunctional PEG with 1,2:3,5‐di‐O‐isopropylidene‐α‐d‐glucofuranose at the α‐end, and primary amine at the ω‐end (DIG‐PEG‐NH2), with a molecular weight of the PEG (MWPEG) of 5300 Da, was synthesized by living anionic polymerization of ethylene oxide initiated with a potassium alkolate of DIG, as previously described (Supporting Information, Figure S1).13 The PEG segment was extended from the hydroxyl group at the C6 position of DIG to generate hydroxyl groups at the C1, C3, and C4 positions after deprotection of DIG. It is important to note that these three hydroxyl groups in the glucose moiety are critical for successful binding to GLUT1.14 DIG‐PEG‐PLL(TFA) was then synthesized by the ring‐opening polymerization of ϵ‐trifluoroacethyl‐l‐lysine N‐carboxy anhydride (Lys(TFA)‐NCA) with DIG‐PEG‐NH2 as a macroinitiator. GluPEG‐PLL was obtained after deprotection of the TFA and isopropylidene acetal moieties. The degree of polymerization (DP) of the PLL segment (DPPLL) was determined to be 42 from the 1H NMR spectrum, and the molecular weight distribution was confirmed to be unimodal by size exclusion chromatography (Supporting Information, Figure S2). GluPEG‐PLL was reacted with two different sulfide linkers, dimethyl 3,3′‐dithiobispropionimidate/2HCl and 2‐iminothiolane/HCl, in the PLL side chains to obtain GluPEG‐PLL(MPA/IM) (Supporting Information, Figure S1). The obtained polymer was determined to possess 8 MPA and 31 IM moieties in the PLL side chains from the 1H NMR spectrum (Supporting Information, Figure S3). MeO‐PEG‐PLL(MPA/IM) (MWPEG: 5000 Da; DPPLL: 42) was similarly synthesized as a non‐targeted control polymer and characterized to contain 6 MPA and 35 IM moieties (Supporting Information, Figure S4). PIC formation between the block copolymer and the ASO was first investigated using MeO‐PEG‐PLL(MPA/IM) (MeO‐polymer) in the buffer with varying concentrations of NaCl to manipulate the micelle size. It is noteworthy that the MALAT1 ASO used in this study was a locked nucleic acid (LNA)‐modified gapmer structure with a phosphorothioate linkage backbone because it strongly tolerates enzymatic degradation and exhibits a high affinity to the target lncRNA for efficient gene‐silencing activity.15 The block copolymer was dissolved in 10 mm HEPES buffer (pH 7.3) with varying concentrations of NaCl and then mixed with the ASO dissolved in the same buffer in the absence of NaCl. The mixed solutions were dialyzed against the 10 mm HEPES buffer (pH 7.3) in the absence of NaCl for 3 days, followed by dynamic light scattering measurement (Figure 2 A). The PIC sample prepared at 0 mm NaCl exhibited a size of approximately 80 nm and a polydispersity index (PDI) of approximately 0.2. An increase in NaCl concentration gradually reduced the size and PDI of the PIC samples. At 100 mm NaCl, the size of the PIC sample was approximately 40 nm with a PDI of approximately 0.1.
Figure 2

Characterization of ASO‐loaded PIC/Ms prepared from MeO‐polymer. A) Sizes and PDIs of PIC/Ms prepared at various NaCl concentrations, determined by dynamic light scattering. B) Change in the relative size of A647‐ASO‐loaded PIC/Ms prepared at 0 or 100 mm NaCl, determined by FCS. C) Change in the relative size of A647‐ASO‐loaded PIC/Ms prepared at 100 mm NaCl after treatment with/without GSH, determined by FCS. A647‐ASO‐loaded PIC/Ms were diluted at designated ASO concentrations and incubated with GSH for 1 h at 37 °C.

Characterization of ASO‐loaded PIC/Ms prepared from MeO‐polymer. A) Sizes and PDIs of PIC/Ms prepared at various NaCl concentrations, determined by dynamic light scattering. B) Change in the relative size of A647ASO‐loaded PIC/Ms prepared at 0 or 100 mm NaCl, determined by FCS. C) Change in the relative size of A647ASO‐loaded PIC/Ms prepared at 100 mm NaCl after treatment with/without GSH, determined by FCS. A647ASO‐loaded PIC/Ms were diluted at designated ASO concentrations and incubated with GSH for 1 h at 37 °C. The stability of the PIC/Ms under dilute conditions was further examined by fluorescence correlation spectroscopy (FCS), which is suitable for size measurement under highly dilute conditions.16, 17 PIC samples were prepared from MeO‐polymer and Alexa‐Fluor‐647‐labeled ASO (A647ASO) at 5 μm ASO concentration with or without 100 mm NaCl. Then, the sizes of the PIC/Ms were determined at serially diluted ASO concentrations (Figure 2 B). The sizes of the PIC/Ms prepared at 100 mm NaCl were maintained even after 1000‐fold volume dilution. In contrast, the sizes of the PIC/Ms prepared without NaCl progressively decreased, indicating the dissociation of the PICs. These results demonstrated that NaCl treatment enhanced PIC stability. The free thiol contents in PIC/Ms determined by Ellman's assay were almost similar between 0 and 100 mm NaCl (approximately 85 % of thiols were converted to disulfide bonds), indicating the similar crosslinking efficiency. This result suggests that the partial charge‐shielding of PLL segments and ASOs in the core by counter ions (Cl− and Na+) probably increased their mobility to facilitate the formation of intermolecular disulfide bonds during PIC/M formation. We further examined the reversible stability of the PIC/Ms after treatment with a reducing agent. A647ASO‐loaded PIC/Ms were prepared at 100 mm NaCl, serially diluted to varying ASO concentrations, and incubated with varying concentrations of glutathione (GSH) for 1 h at 37 °C, followed by FCS analysis (Figure 2 C). The increase in GSH concentration resulted in the decrease in the size of the PIC/M samples, and the decreasing rate was amplified with the decrease in ASO concentration. This result indicated that the PIC/Ms were dissociated under dilute conditions in the presence of GSH, presumably due to the reversible nature of the disulfide crosslinking in the micelle core. Considering that GSH is essential for the cellular detoxification of reactive oxygen species to reduce oxidative stress18 and its concentration is determined at 0.2–2.7 mm in various brain cells,19 the PIC/Ms are expected to dissociate after internalization into the cells in the brain parenchyma. Based on these results, the PIC/Ms prepared at 100 mm NaCl were utilized in the following experiments. Our previous study demonstrated that the glucose ligand density on the nanoparticles was critical for their brain accumulation efficiency, and the optimal ligand density was clearly observed.7 Accordingly, a series of ASO‐loaded PIC/Ms with varying numbers of glucose ligands on their surface were prepared by changing the blending ratio between GluPEG‐PLL(MPA/IM) (Glupolymer) and MeO‐polymer in the polymer solution. As summarized in Table 1, all Glu‐micelles showed similar particle diameters ranging from 42 to 45 nm with PDIs of approximately 0.15, indicating that the glucose ligands barely affected the PIC/M formation (or self‐assembling behavior) between the block copolymers and the ASOs. To obtain more detailed structural information, the MWs of the Glu‐micelles were determined by analytical ultracentrifugation (AUC, Table 1).16, 17 Given that PIC/Ms were formed according to the feeding molar ratio (or N/P) of 1.4, the association number of total polymers, namely, Glupolymer + MeO‐polymer, in a single micelle was calculated to be approximately 100 molecules on average. The glucose ligand numbers were then calculated according to the blending ratios between the MeO‐polymer and Glupolymer, which ranged from 0 to 103 (Table 1). Based on these numbers, each PIC/M was abbreviated as Glu(X)‐PIC/M, where X represented the number of glucose ligands per particle.
Table 1

Characteristics of Glu(X)‐PIC/Ms with varying numbers of glucose ligands.

Micelle

Blending ratio

[Glu:MeO]

Size [nm][a]

PDI[a]

MW [Da]

Association number[b]

Glucose number

Glu(0)

0:100

42±2

0.14±0.03

1.527×106

96

0

Glu(24)

25:75

42±1

0.16±0.02

1.567×106

98

24

Glu(52)

50:50

43±2

0.15±0.01

1.688×106

104

52

Glu(76)

75:25

43±3

0.15±0.01

1.642×106

101

76

Glu(103)

100:0

45±4

0.15±0.01

1.679×106

103

103

[a] determined by DLS, [b] determined by AUC.

Characteristics of Glu(X)‐PIC/Ms with varying numbers of glucose ligands. Micelle Blending ratio [Glu:MeO] Size [nm][a] PDI[a] MW [Da] Association number[b] Glucose number Glu(0) 0:100 42±2 0.14±0.03 1.527×106 96 0 Glu(24) 25:75 42±1 0.16±0.02 1.567×106 98 24 Glu(52) 50:50 43±2 0.15±0.01 1.688×106 104 52 Glu(76) 75:25 43±3 0.15±0.01 1.642×106 101 76 Glu(103) 100:0 45±4 0.15±0.01 1.679×106 103 103 [a] determined by DLS, [b] determined by AUC.

Cellular Uptake of Glu(X)‐PIC/Ms in GLUT1‐Expressing Cultured Cells

To verify specific molecular interactions of Glu(X)‐PIC/Ms with GLUT1, the cellular uptake of Glu(X)‐PIC/Ms was evaluated in the cultured human breast cancer cell line MDA‐MB‐231. This is because MDA‐MB‐231 cells are known to express high levels of GLUT1 on the surface under culture conditions,20 which makes them suitable for model GLUT1‐expressing cells. A647ASO‐loaded Glu(X)‐PIC/Ms (A647Glu(X)‐PIC/Ms) were transfected into the cells and incubated for 1 h at a 400 nm ASO concentration. The fluorescence intensities of A647 were measured with a microplate reader (Supporting Information, Figure S5). The cells treated with the A647Glu(X)‐PIC/Ms with higher glucose numbers showed higher fluorescence intensities, indicating that the A647Glu(X)‐PIC/Ms with higher glucose numbers more efficiently recognized GLUT1 on the cells in the cultured conditions, similar to our previous studies on cancer cells targeted by glucose ligands.21 Importantly, with the competitive treatment of cells with the GLUT inhibitor phloretin, the fluorescence intensities in the cells treated with A647Glu(X)‐PIC/Ms were considerably decreased to a similar level as those treated with the control micelle without glucose ligand (A647Glu(0)‐PIC/M). These results demonstrate the enhanced cellular uptake of A647Glu(X)‐PIC/Ms by specific interactions between the glucose ligands and GLUT1. Of note, no saturation of the cellular uptake amount was observed for Glu(100)‐PIC/M even at a much higher concentration (for example, 4 μm ASO; data not shown), possibly due to the relatively low binding affinity between glucose and GLUT1.

Blood Circulation and Brain Accumulation of A647‐Glu(X)‐PIC/Ms

The longevity in blood circulation of Glu(X)‐PIC/Ms is more likely to affect the number/probability of contacts between the glucose ligands and GLUT1 molecules on the BCECs, which are critical for crossing the BBB. Thus, the blood circulation properties of A647Glu(X)‐PIC/Ms with varying glucose numbers were examined by in vivo confocal laser scanning microscopy (IVCLSM) in terms of fluorescence intensity of A647 after intravenous injection into the tail veins of mice (Figure 3 A and Supporting Information, Figure S6). While naked A647ASO exhibited a half‐life of 9 min, all A647Glu(X)‐PIC/Ms permitted considerably longer blood retention with half‐lives of more than 80 min, regardless of the glucose number. Thus, the installation of glucose ligands was confirmed to induce no considerable alteration of micelle circulation in the bloodstream. Next, the brain accumulation efficiency of A647Glu(X)‐PIC/Ms was evaluated in fasting mice with glycemic control. After fasting the mice for approximately 16 h, a glucose solution (20 % w/v in phosphate‐buffered saline) was administered intraperitoneally in order to raise the blood glucose level (Supporting Information, Figure S7). At 30 min post‐administration of the glucose solution, naked A647ASO and A647Glu(X)‐PIC/Ms with various glucose numbers were intravenously injected into the tail veins of mice. Notably, a rapid increase in the blood glucose level can trigger the recycling of GLUT1 from the apical to the basal side of the plasma membrane of the BCECs, possibly facilitating the transcytosis of A647Glu(X)‐PIC/Ms.7 At 1 h post‐intravenous administration, the mice were perfused with an excess amount of phosphate‐buffered saline and then the whole brain was excised. The brain was homogenized in lysis buffer and fluorescence intensities of A647 in the lysed brain tissues were measured using a microplate reader. Naked A647ASO and A647Glu(0)‐PIC/M exhibited 0.4±0.1 % and 0.4±0.3 % dose g−1 of brain, respectively (Figure 3 B). In contrast, a certain extent of glucose installation onto PIC/Ms (A647Glu(X)‐PIC/Ms: X=24 and 52) significantly increased their brain accumulation. Notably, A647Glu(52)‐PIC/M achieved the highest brain accumulation efficiency of 6.9±1.9 % dose g−1 of brain, which was almost 17‐times higher than that of A647Glu(0)‐PIC/M. Interestingly, a further increase in the number of glucose ligands on each of the micelles over 52 led to a steep decrease in the brain accumulation efficiency. Presumably, strong avidity in GLUT1 binding due to an excess glucose density on the A647Glu(X)‐PIC/Ms may have hampered their smooth translocation into the basal side of the BCECs.7
Figure 3

In vivo performances of A647‐Glu(X)‐PIC/Ms after intravenous administration. A) Blood circulation properties of A647‐Glu(X)‐PIC/Ms (25 μg A647‐ASO) after intravenous administration, determined by IVCLSM. B) Accumulation efficiencies of A647‐Glu(X)‐PIC/Ms in the whole brain at 1 h post‐administration. A647‐Glu(X)‐PIC/Ms were intravenously administered 30 min after intraperitoneal injection of glucose into fasting mice. The brain was excised and homogenized in the lysis buffer. Fluorescence intensities of lysates were measured using a microplate reader. Results are expressed as mean±standard deviation (n=3; *p<0.05). C) An illustration of brain sub‐regions examined in this study. The brain atlas was slightly modified from a graphical image of gensat.org. D) Fluorescence intensities in various brain regions treated with A647‐Glu(52)‐PIC/M at 1 h post‐injection (25 μg A647‐ASO per injection). The fluorescence intensity in each brain region was determined using a microplate reader and normalized to the total fluorescence intensity of all brain regions (Cor: cerebral cortex, Hip: hippocampus, Mid: midbrain, Tha: thalamus/hypothalamus, Cer: cerebellum, Olf: olfactory bulb, Pon: pons, Med: medulla). The micelle sample was administered according to the same injection schedule as in (B). Results are expressed as mean±standard deviation (n=5). E) Weight‐normalized accumulation amounts of A647‐Glu(52)‐PIC/M in various regions of the brain at 1 h post‐administration. Results are expressed as mean±standard error (n=5; *p<0.05 and **p<0.01).

In vivo performances of A647Glu(X)‐PIC/Ms after intravenous administration. A) Blood circulation properties of A647Glu(X)‐PIC/Ms (25 μg A647ASO) after intravenous administration, determined by IVCLSM. B) Accumulation efficiencies of A647Glu(X)‐PIC/Ms in the whole brain at 1 h post‐administration. A647Glu(X)‐PIC/Ms were intravenously administered 30 min after intraperitoneal injection of glucose into fasting mice. The brain was excised and homogenized in the lysis buffer. Fluorescence intensities of lysates were measured using a microplate reader. Results are expressed as mean±standard deviation (n=3; *p<0.05). C) An illustration of brain sub‐regions examined in this study. The brain atlas was slightly modified from a graphical image of gensat.org. D) Fluorescence intensities in various brain regions treated with A647Glu(52)‐PIC/M at 1 h post‐injection (25 μg A647ASO per injection). The fluorescence intensity in each brain region was determined using a microplate reader and normalized to the total fluorescence intensity of all brain regions (Cor: cerebral cortex, Hip: hippocampus, Mid: midbrain, Tha: thalamus/hypothalamus, Cer: cerebellum, Olf: olfactory bulb, Pon: pons, Med: medulla). The micelle sample was administered according to the same injection schedule as in (B). Results are expressed as mean±standard deviation (n=5). E) Weight‐normalized accumulation amounts of A647Glu(52)‐PIC/M in various regions of the brain at 1 h post‐administration. Results are expressed as mean±standard error (n=5; *p<0.05 and **p<0.01). The glucose‐modified micelle with the highest accumulation efficiency in the whole brain (A647Glu(52)‐PIC/M) was then subjected to further analytical study to evaluate the relative accumulation efficiencies (or accumulation amounts) in different regions of the brain, namely, cerebral cortex, hippocampus, midbrain, thalamus/hypothalamus, and cerebellum. After intravenous injection of A647Glu(52)‐PIC/M into the fasting mice with glycemic control, each brain region was dissected and the fluorescence intensities were measured using a microplate reader. Results are represented as a percentage of the total fluorescence intensity of the whole brain (Figure 3 D). It is worth noting that the highest accumulation amount (26±7 %) was observed in the cerebral cortex. There was an observed amount of approximately 10–17 % in the thalamus/hypothalamus, cerebellum, pons, and medulla. The hippocampus, midbrain, and olfactory bulb showed an approximately 7 % accumulation amount. The accumulation amounts were further normalized to the weight of each brain area to examine the delivery selectivity of A647Glu(52)‐PIC/M for each brain area (Figure 3 E). Higher normalized values were observed for the thalamus/hypothalamus, cerebellum, olfactory bulb, pons, and medulla compared with the cerebral cortex, hippocampus, and midbrain. This result indicates that Glu(52)‐PIC/M has the ability to accumulate in all brain areas with only a moderate tissue selectivity.

MALAT1 Knockdown in Various Brain Regions

The knockdown activity of Glu(X)‐PIC/M in the brain was ultimately investigated in the fasting mice with glycemic control. The knockdown efficiencies were determined in both the whole brain and separate brain areas because it is desirable that the ASO drug is delivered to the appropriate area of onset in the diseased brain. For example, the abnormal expansion of CAG repeats in the Huntingtin (HTT) gene in HD heavily affects the cortex and striatum.22 ALS results in dysfunction of motor neurons in the cortex, which induces progressive weakness of muscle.23 Here, MALAT1 lncRNA was selected as a model target molecule because MALAT1 lncRNA is present in a high level in a wide range of mammalian tissues, including brain.24 The MALAT1 lncRNA levels were determined by quantitative reverse‐transcription PCR (qRT‐PCR) and then normalized to that of the housekeeping gene GAPDH. MALAT1ASO‐loaded Glu(X)‐PIC/Ms (100 μg MALAT1 ASO per injection) were intravenously injected into the tail veins of fasting mice with glycemic control. First, MALAT1 knockdown efficiency in the whole brain was evaluated at 24 h post‐administration (Figure 4 A). Glu(52)‐PIC/M exhibited the highest MALAT1 knockdown efficiency (approximately 30 %) among the tested Glu(X)‐PIC/Ms. Glu(24)‐PIC/M had a modest MALAT1 knockdown effect (approximately 24 %). Glu(24)‐PIC/M exhibited a statistical difference with the naked MALAT1 but not with the other micelle samples. Glu(0)‐, Glu(76)‐, and Glu(103)‐PIC/Ms, as well as naked ASO, exhibited no MALAT1 knockdown effects. This knockdown efficiency was consistent with the brain accumulation efficiency of the ASO (Figure 3 B).
Figure 4

MALAT1 knockdown efficiencies of Glu(X)‐PIC/Ms in the various brain regions in mice 24 h after a single injection (100 μg MALAT1 ASO). MALAT1 lncRNA levels were measured in the A) whole brain, B) cerebral cortex, C) hippocampus, D) midbrain, E) thalamus/hypothalamus, and F) cerebellum determined by qRT‐PCR. Results are expressed as mean±standard deviation (n=3; *p<0.05 and **p<0.01).

MALAT1 knockdown efficiencies of Glu(X)‐PIC/Ms in the various brain regions in mice 24 h after a single injection (100 μg MALAT1 ASO). MALAT1 lncRNA levels were measured in the A) whole brain, B) cerebral cortex, C) hippocampus, D) midbrain, E) thalamus/hypothalamus, and F) cerebellum determined by qRT‐PCR. Results are expressed as mean±standard deviation (n=3; *p<0.05 and **p<0.01). We further investigated the MALAT1 knockdown efficiencies of Glu(X)‐PIC/Ms in various brain regions, namely, cerebral cortex, hippocampus, midbrain, thalamus/hypothalamus, and cerebellum, at 24 h post‐administration (Figure 4 B–F). Glu(X)‐PIC/Ms (100 μg MALAT1 ASO per injection) were intravenously injected into the tail veins of mice under glycemic control. Generally, the MALAT1 knockdown effect was observed in each region of the brain treated with Glu(24)‐ and Glu(52)‐PIC/Ms, similar to the effect on the whole brain. Notably, Glu(52)‐PIC/M exhibited high levels of MALAT1 knockdown in various regions, such as the cerebral cortex (approximately 54 %), hippocampus (approximately 20 %), midbrain (approximately 34 %), and thalamus/hypothalamus (approximately 37 %), roughly consistent with the apparently uniform distribution of Glu(52)‐PIC/M in each brain region (Figure 3 E). Interestingly, Glu(52)‐PIC/M showed no knockdown effect in the cerebellum even though an appreciable ASO accumulation was observed in this region (Figure 3 E). Glu(24)‐PIC/M exhibited less efficient MALAT1 knockdown, in which only the midbrain (approximately 42 %) had a significant difference compared with Glu(52)‐PIC/M. The present delivery strategy for glucose‐mediated BBB‐crossing can be readily applied for human and nonhuman primates because of the universal expression of GLUT1 on the brain endothelium.25 The glucose concentration in the fasting mice was approximately 110 mg dL−1 and then increased up to 160 mg dL−1 after glucose injection.7 Considering the similar fasting glucose concentration in humans (70–99 mg dL−1), it may be reasonably assumed that the similar glycemic control may trigger the BBB‐crossing of glucose‐modified nanoparticles. Another issue is repeated administration of Glu(X)‐PIC/Ms for ASO therapies, which may result in gradual accumulation of polymer/micelles in the brain. Although we have not studied the clearance of Glu(X)‐PIC/Ms from the brain, a recent study reported that meningeal lymphatic vessels in the basal part of the skull are hotspots for the clearance of macromolecules in the cerebrospinal fluid.26 More detailed clearance mechanism will be investigated in future studies.

Conclusion

We successfully constructed GLUT1‐targeted Glu(X)‐PIC/Ms and demonstrated the efficient brain accumulation of ASOs by noninvasive intravenous administration. The multiple glucose‐modified PIC/Ms dramatically enhanced the brain accumulation efficiency, presumably due to their multivalent binding with GLUT1 expressed on the plasma membrane of the BCECs. GLUT1 at the apical side of the brain vasculature is thought to undergo translocation and recycling triggered by the injection of glucose solution into the fasting mouse. Simultaneously, Glu(X)‐PIC/Ms were transferred into the basal side of the BCECs. However, the detailed BBB‐crossing mechanism should be further investigated in a future study. The present PIC/Ms are assembled from approximately 100 block copolymer strands and approximately 35 ASO molecules, regardless of glucose numbers, satisfying the following three parameters: i) a size of less than 50 nm, ii) the blood circulation property with half‐lives of 80–100 min, and iii) the optimization of glucose number and density (approximately 50 per 100 block copolymer strands) on their surface. Overall, this study provides a unique strategy of noninvasive ASO delivery into the brain using glycemic control as an external trigger, and has an immediate and considerable impact on ASO treatment of CNS disorders (for example, HD and ALS), symptoms of which mainly occur in the cerebral cortex and hippocampus.

Conflict of interest

Dr. Kazunori Kataoka is a founder and a scientific advisor of Braizon Therapeutics, Inc. Dr. Yasutaka Anraku is a scientific advisor of Braizon Therapeutics, Inc. The remaining authors declare no competing financial interests. As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re‐organized for online delivery, but are not copy‐edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Supplementary Click here for additional data file.
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1.  Two-photon imaging of glutathione levels in intact brain indicates enhanced redox buffering in developing neurons and cells at the cerebrospinal fluid and blood-brain interface.

Authors:  Xiaojian Sun; Andy Y Shih; Helge C Johannssen; Heidi Erb; Ping Li; Timothy H Murphy
Journal:  J Biol Chem       Date:  2006-04-19       Impact factor: 5.157

2.  Glucose transporter 1-mediated vascular translocation of nanomedicines enhances accumulation and efficacy in solid tumors.

Authors:  Kazumi Suzuki; Yutaka Miura; Yuki Mochida; Takuya Miyazaki; Kazuko Toh; Yasutaka Anraku; Vinicio Melo; Xueying Liu; Takehiko Ishii; Osamu Nagano; Hideyuki Saya; Horacio Cabral; Kazunori Kataoka
Journal:  J Control Release       Date:  2019-03-04       Impact factor: 9.776

Review 3.  Supply and demand in cerebral energy metabolism: the role of nutrient transporters.

Authors:  Ian A Simpson; Anthony Carruthers; Susan J Vannucci
Journal:  J Cereb Blood Flow Metab       Date:  2007-06-20       Impact factor: 6.200

4.  Structural requirements for binding to the sugar-transport system of the human erythrocyte.

Authors:  J E Barnett; G D Holman; K A Munday
Journal:  Biochem J       Date:  1973-02       Impact factor: 3.857

Review 5.  Pathophysiological and diagnostic implications of cortical dysfunction in ALS.

Authors:  Nimeshan Geevasinga; Parvathi Menon; P Hande Özdinler; Matthew C Kiernan; Steve Vucic
Journal:  Nat Rev Neurol       Date:  2016-09-23       Impact factor: 42.937

6.  Tuned Density of Anti-Tissue Factor Antibody Fragment onto siRNA-Loaded Polyion Complex Micelles for Optimizing Targetability into Pancreatic Cancer Cells.

Authors:  Hyun Su Min; Hyun Jin Kim; Jooyeon Ahn; Mitsuru Naito; Kotaro Hayashi; Kazuko Toh; Beob Soo Kim; Yasuhiro Matsumura; Ick Chan Kwon; Kanjiro Miyata; Kazunori Kataoka
Journal:  Biomacromolecules       Date:  2018-05-22       Impact factor: 6.988

7.  Role for glucose transporter 1 protein in human breast cancer.

Authors:  M Grover-McKay; S A Walsh; E A Seftor; P A Thomas; M J Hendrix
Journal:  Pathol Oncol Res       Date:  1998       Impact factor: 3.201

Review 8.  Gene suppression strategies for dominantly inherited neurodegenerative diseases: lessons from Huntington's disease and spinocerebellar ataxia.

Authors:  Megan S Keiser; Holly B Kordasiewicz; Jodi L McBride
Journal:  Hum Mol Genet       Date:  2015-10-26       Impact factor: 6.150

9.  Targeted polymeric micelles for siRNA treatment of experimental cancer by intravenous injection.

Authors:  R James Christie; Yu Matsumoto; Kanjiro Miyata; Takahiro Nomoto; Shigeto Fukushima; Kensuke Osada; Julien Halnaut; Frederico Pittella; Hyun Jin Kim; Nobuhiro Nishiyama; Kazunori Kataoka
Journal:  ACS Nano       Date:  2012-06-05       Impact factor: 15.881

10.  Glycaemic control boosts glucosylated nanocarrier crossing the BBB into the brain.

Authors:  Y Anraku; H Kuwahara; Y Fukusato; A Mizoguchi; T Ishii; K Nitta; Y Matsumoto; K Toh; K Miyata; S Uchida; K Nishina; K Osada; K Itaka; N Nishiyama; H Mizusawa; T Yamasoba; T Yokota; K Kataoka
Journal:  Nat Commun       Date:  2017-10-17       Impact factor: 14.919

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  20 in total

Review 1.  Non-viral vectors for RNA delivery.

Authors:  Yi Yan; Xiao-Yu Liu; An Lu; Xiang-Yu Wang; Lin-Xia Jiang; Jian-Cheng Wang
Journal:  J Control Release       Date:  2022-01-10       Impact factor: 9.776

Review 2.  Non-Coding RNAs as Novel Regulators of Neuroinflammation in Alzheimer's Disease.

Authors:  Yuqing Liu; Xin Cheng; Hongli Li; Shan Hui; Zheyu Zhang; Yang Xiao; Weijun Peng
Journal:  Front Immunol       Date:  2022-06-02       Impact factor: 8.786

Review 3.  Cerebral Organoids and Antisense Oligonucleotide Therapeutics: Challenges and Opportunities.

Authors:  Jenny Lange; Haiyan Zhou; Amy McTague
Journal:  Front Mol Neurosci       Date:  2022-06-27       Impact factor: 6.261

Review 4.  Nanoparticle designs for delivery of nucleic acid therapeutics as brain cancer therapies.

Authors:  Johan Karlsson; Kathryn M Luly; Stephany Y Tzeng; Jordan J Green
Journal:  Adv Drug Deliv Rev       Date:  2021-10-27       Impact factor: 17.873

5.  Blood-brain barrier-penetrating siRNA nanomedicine for Alzheimer's disease therapy.

Authors:  Yutong Zhou; Feiyan Zhu; Yang Liu; Meng Zheng; Yibin Wang; Dongya Zhang; Yasutaka Anraku; Yan Zou; Jia Li; Haigang Wu; Xiaobin Pang; Wei Tao; Olga Shimoni; Ashley I Bush; Xue Xue; Bingyang Shi
Journal:  Sci Adv       Date:  2020-10-09       Impact factor: 14.136

Review 6.  Development of Polymeric Nanoparticles for Blood-Brain Barrier Transfer-Strategies and Challenges.

Authors:  Weisen Zhang; Ami Mehta; Ziqiu Tong; Lars Esser; Nicolas H Voelcker
Journal:  Adv Sci (Weinh)       Date:  2021-03-07       Impact factor: 16.806

7.  Systemic Brain Delivery of Antisense Oligonucleotides across the Blood-Brain Barrier with a Glucose-Coated Polymeric Nanocarrier.

Authors:  Hyun Su Min; Hyun Jin Kim; Mitsuru Naito; Satomi Ogura; Kazuko Toh; Kotaro Hayashi; Beob Soo Kim; Shigeto Fukushima; Yasutaka Anraku; Kanjiro Miyata; Kazunori Kataoka
Journal:  Angew Chem Int Ed Engl       Date:  2020-03-06       Impact factor: 15.336

8.  Targeting Alzheimer's disease with multimodal polypeptide-based nanoconjugates.

Authors:  A Duro-Castano; C Borrás; V Herranz-Pérez; M C Blanco-Gandía; I Conejos-Sánchez; A Armiñán; C Mas-Bargues; M Inglés; J Miñarro; M Rodríguez-Arias; J M García-Verdugo; J Viña; M J Vicent
Journal:  Sci Adv       Date:  2021-03-26       Impact factor: 14.136

Review 9.  Overcoming delivery barriers in immunotherapy for glioblastoma.

Authors:  Yuan Rui; Jordan J Green
Journal:  Drug Deliv Transl Res       Date:  2021-05-30       Impact factor: 4.617

Review 10.  Huntington disease: new insights into molecular pathogenesis and therapeutic opportunities.

Authors:  Sarah J Tabrizi; Michael D Flower; Christopher A Ross; Edward J Wild
Journal:  Nat Rev Neurol       Date:  2020-08-14       Impact factor: 42.937

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