Xuehui
Rui
*a,
Yukihiro
Okamoto
a,
Nozomi Morishita
Watanabe
a,
Taro
Shimizu
b,
Ward
Wakileh
a,
Naoko
Kajimura
c and
Hiroshi
Umakoshi
*a
aDivision of Chemical Engineering, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyamacho, Toyonaka, Osaka 560-8531, Japan. E-mail: umakoshi.hiroshi.es@osaka-u.ac.jp; xuehui.rui@cheng.es.osaka-u.ac.jp
bResearch Institute for Microbial Diseases, Osaka University, 3-1 Yamadaoka, Suita, Osaka 565-0871, Japan
cResearch Center for Ultra-High Voltage Electron Microscopy, Osaka University, 7-1, Mihogaoka, Ibaraki, Osaka 567-0047, Japan
First published on 7th August 2024
This study aims to develop a biomimetic nano-drug delivery system (nano-DDS) by employing a macrophage cell membrane camouflaging strategy to modify lyotropic liquid crystal nanoparticles (LLC-NPs). The cubic-structured LLC-NPs (Cubosomes, CBs) were prepared via a top-down approach (ultra-sonification) using monoolein (MO) and doped with the cationic lipid, DOTAP. The cell membrane camouflaging procedure induced changes in the cubic lipid phase from primitive cubic phase (QIIP) to a coexistence of QIIP and diamond cubic phase (QIID). The macrophage membrane camouflaging strategy protected CB cores from the destabilization by blood plasma and enhanced the stability of CBs. The in vitro experiment results revealed that the macrophage cell membrane coating significantly reduced macrophage uptake efficacy within 8 h of incubation compared to the non-camouflaged CBs, while it had minimal impact on cancer cell uptake efficacy. The macrophage membrane coated CBs showed lower accumulation in the heart, kidney and lungs in vivo. This study demonstrated the feasibility of employing cell membrane camouflaging on CBs and confirmed that the bio-functionalities of the CBs-based biomimetic nano-DDS were retained from the membrane source cells, and opened up promising possibilities for developing an efficient and safe drug delivery system based on the biomimetic approach.
Different types of non-lamellar LLC-NPs including cubosomes (cubic structure) and hexosomes (hexagonal structure) have different geometries and properties. Since the discovery and investigation of cubosomes (CBs) by Kåre Larsson in 1989, CBs have gained attention as potential nano-DDS.7 CBs are square or spherical nanoparticles consisting of cavernous structures separating the internal aqueous channels and a large hydrophilic interface. The special structure endows CBs with good controlled-release properties and high encapsulation capacities of drug molecules.2,8,9 Also, C. Leal's previous research elucidated that, after the doping of a small amount of cationic lipid, the CBs could still form a stable and positively charged cubic phase.10 The cationic lipid doping in CBs provides the CBs with nucleic acid loading ability and allows for further surface modification.
Nanoparticle recognition by the mononuclear phagocyte system poses a challenge for the effective use of nano-DDS.11 To overcome this challenge, surface modification of CBs is necessary to extend their circulation time and reduce their immunogenicity. Table S1 (ESI†) summarizes some representative studies on CBs surface modification. To date, PEGylation is the most widely used strategy for surface modification of NPs, as PEG coatings on NPs shield the surface from aggregation, opsonization, and phagocytosis, prolonging systemic circulation time in vivo.12 However, some studies have reported that PEGylation can also induce immune responses in animals, indicating the need for alternative surface modification strategies that could improve the efficacy and safety of CBs-based nano-DDS.13,14 An additional crucial factor concerning CBs in drug delivery is their structural instability. Upon injection in vivo, CBs will quickly interact with plasma, leading to their collapse and consequent burst release of drug payloads.15,16 This destabilization significantly impedes the effective application of CBs for drug delivery purposes.
In recent years, the cell membrane coating strategy was established as a promising surface modification platform for nano-DDS. The long-circulation nature of red blood cells (RBC) granted the RBC membrane-camouflaged nanoparticles a superior circulation half-life and lower immunogenicity comparing to the traditional PEGylated nanoparticles.17 Furthermore, the macrophage membrane coating strategy has also been extensively utilized in the development of nano-DDS, as they can prolong the circulation, control the release of drugs, realize immune escape, and reduce immunogenicity due to the membrane proteins inherited from macrophages.18 Also, the application of a cell membrane layer coating to nanoparticles has been shown to enhance their stability over time and improve their safety profile.19
Given the tunable surface of CBs and the multifunctionality of macrophage cell membranes, we hypothesize that coating CBs with macrophage cell membranes presents a promising method for enhancing drug delivery performance. The cell membrane coating not only stabilizes the CBs in vivo, but also provides stealth properties to evade immune detection, potentially leading to improved therapeutic efficacy and reduced side effects. In this work, we first fabricated the cationic CBs by doping 1 mol% DOTAP into monoolein (MO). The positively charged surface of the CBs would facilitate the coating of the negatively charged cell membrane via electrostatic interaction. After the macrophage membrane coating, this nano-DDS was systematically characterized using dynamic light scattering (DLS), cryo-transmission electron microscopy (cryo-TEM), and small-angle X-ray scattering (SAXS). The cell internalization efficacy was investigated using flow cytometry (FCM) and confocal laser scanning fluorescence microscopy (CLSM). The in vivo distributions of CBs were investigated. Doxorubicin (DOX) was harnessed as model drug and the anti-cancer efficacy was investigated via apoptosis assay. Our outcomes demonstrated that the prepared cationic CBs could successfully be camouflaged by macrophage membrane and inherit the membrane proteins from macrophages to realize an immune escape without hindering cancer cell uptake efficacy. Furthermore, the macrophage membrane stabilized the CBs in vivo and exhibited reduced accumulations in mice organs including heart, kidney and lungs, indicating a prolonged circulation time span in vivo.
The macrophage cell membrane vesicles were obtained from J774.1 cells through a sucrose gradient ultracentrifugation method. Briefly, J774.1 cells were cultured in 100 mm cell culture dishes. Once the cells reached 90% confluency, they were detached using pipetting and collected in D-PBS without using trypsin. After washing using D-PBS and centrifugation, the cell sediment was resuspended in cold tris-magnesium buffer (TM buffer, pH 7.4, 0.01 M tris and 0.001 M MgCl2) containing protease inhibitor and incubated for 15 min at 4 °C. The cell-TM buffer suspension was then extruded 20 times through a mini-extruder without polycarbonate membrane to rupture the cells. Sucrose solution was added to the cell homogenate to a final concentration of 0.25 M and the homogenate was centrifuged at 2000 g and 4 °C for 15 min. The resulting supernatant was collected and extruded through 200 nm and 100 nm pore-sized polycarbonate membranes in sequence followed by ultra-centrifugation (50000 rpm, 4 °C) for 120 min to collect the cell membrane vesicles. The extracted cell membrane vesicles were stored at 4 °C for immediate use and at −80 °C for long-term storage.
Sonification method was utilized for the cell membrane coating on CBs. The extracted cell membranes were resuspended in D-PBS and sonicated to disperse the cell membrane vesicles, The protein content and phospholipid concentration in the extracted macrophage membrane were determined using a BCA assay kit and a LabAssay phospholipid kit, respectively. Then, the cell membrane vesicles were mixed with CBs at different ratios (MO to protein weight ratio). The mixed samples were shaken and then vortexed for 5 min. After the vortex, samples were sonicated on ice in a sonification bath for 15 min.
For the cell internalization efficacy assay, 0.5 wt% of 18:1 NBD-PE (dye to MO ratio) was added to the MO or MO/DOTAP solution before vacuuming to prepare fluorescence dye-labeled CBs. For DOX-loaded CBs preparation, DOX was dissolved in methanol and then added to MO/DOTAP solution at a final ratio of 0.5 wt% (DOX to MO ratio) before vacuuming. For in vivo imaging research, 0.1 mol% of DiR was added to the MO/DOTAP solution before vacuuming to prepare DiR-labelled CBs.
In the following sections, cubosomes prepared solely from monoolein are referred as MO- only CBs; the DOTAP-doped cubosomes as cationic CBs; the extracted macrophage membrane vesicles as MMVs; and the macrophage membrane camouflaged CBs as MM@CBs.
The DOX encapsulation efficacy (EE) was calculated according to the following equation:
(1) |
The dialysis method was employed to investigate the in vitro release of DOX. Specifically, 1 mL of DOX-loaded CBs was added to a dialysis tubing with a molecular weight cut-off of 12–14 kD and dialyzed against 20 mL of D-PBS in a brown vial at room temperature. At predetermined time intervals, 1 mL of the dialysis buffer was withdrawn from the vial and replaced with 1 mL of fresh buffer. The DOX concentrations in the collected samples were determined using a spectrofluorometer as previously described.
The lattice parameters were calculated using the eqn (2).
(2) |
The water channel radius (rw) is calculated according to the following equations:20
For QIIP (Im3m) phase:
rw = 0.306 × a − l | (3.1) |
For QIID (Pn3m) phase:
rw = 0.391 × a − l | (3.2) |
For the biphasic CBs system (QIIP and QIID), the Bonnet ratio was calculated according to the equation:
(4) |
To study the in vivo distribution, two samples (DiR-MM@CB, DiR-CB) were injected in tail vein: concentration, 2 mg mL−1 (calculated according to MO amount); injection volume, 100 μL. For control group, 100 μL of PBS was injected in tail vein. Whole body and organ fluorescence images was recorded with IVIS (excitation: 720 nm; emission: 790 nm) under 5 s exposure time. At selected time (0.5, 1, 3, 6, 9 and 24 h), the whole-body images were obtained. After the final imaging (9 and 24 h), the mice were anesthetized with isoflurane inhalation and euthanized. The organs (liver, lungs, spleen, heart, kidneys) were collected and imaged using IVIS.
Regarding the ζ-potential in ultrapure water, the MO-only CBs exhibited a negative ζ-potential (−15.7 ± 0.3 mV), while the cationic CBs displayed a high positive ζ-potential (45.4 ± 0.5 mV). After the cell membrane coating (1:1 MO to protein weight ratio), the ζ-potential shifted to −26.7 ± 0.4 mV, which closely resembled the ζ-potential of the extracted macrophage membrane vesicles (−29.5 ± 1.9 mV). The DLS and ζ-potential investigations revealed that the process of cell membrane camouflaging led to an increase in the particle size of the CBs and a significant shift in ζ-potential. These observations indicated a successful coating of the macrophage membranes on cationic CBs.
SDS-PAGE was employed to assess the presence of macrophage membrane proteins on MM@CBs. Fig. 1(C) displays distinct and consistent protein bands from MM@CBs comparable to those observed in macrophages. This indicated that MM@CBs have inherited the membrane proteins from macrophages.
TEM and cryo-TEM investigations were carried out to provide additional verification of the changes in CB morphology before and after cell membrane camouflaging. As shown in Fig. 1(D), the TEM images depict that the cationic CBs exhibited a round or square morphologies. After the cell membrane camouflaging, clear evidence of the surface changes on the cationic CBs was observed in the images. These surface changes are considered to be associated with the cell membrane that attached or fused onto the surface of cationic CBs. The fast Fourier transforms (FFT) acquired from the cryo-TEM images confirmed the existence of internal cubic phases. In the case of cationic CBs, the characteristic motifs and reflections of QIIP phase were confirmed in the FFT analysis. For the MM@CBs (1:1 MO to protein weight ratio), a coexistence of QIID and QIIP was observed.
The observations from the DLS, SDS-PAGE, TEM as well as the cryo-TEM results confirmed the successful coating of the cell membrane onto the cationic CBs, thereby solidifying the feasibility of the camouflaging strategy.
CB type | Formulation | Space group | Lattice parameter (a) [nm] | Water Channel radius (rw) [nm] |
---|---|---|---|---|
The ratios represent MO: cell membrane protein weight ratio. | ||||
MO-only CBs | MO | Im3m | 13.05 | 2.72 |
Cationic CBs | MO + 1 mol% DOTAP | Im3m | 14.46 | 2.29 |
MM@CBs | MO + 1 mol% DOTAP + MM (10:1 wt ratio) | Im3m/Pn3m | 12.53/9.57 | 2.13/2.04 |
MO + 1 mol% DOTAP + MM (7:1 wt ratio) | Im3m/Pn3m | 12.40/9.35 | 2.09/1.96 | |
MO + 1 mol% DOTAP + MM (4:1 wt ratio) | Im3m/Pn3m | 12.03/8.94 | 1.98/1.80 | |
MO + 1 mol% DOTAP + MM (3:1 wt ratio) | Im3m/Pn3m | 11.68/8.81 | 1.88/1.75 | |
MO + 1 mol% DOTAP + MM (2:1 wt ratio) | Im3m/Pn3m | 11.57/8.75 | 1.84/1.72 | |
MO + 1 mol% DOTAP + MM (1:1 wt ratio) | Im3m/Pn3m | 11.57/8.69 | 1.84/1.70 |
At a temperature of 37 °C, the SAXS patterns of MO-only CBs displayed prominent peaks at ∼0.681, 0.965, and 1.176 nm−1. On the other hand, the SAXS pattern of cationic CBs exhibited prominent peaks at ∼0.615, 0.870, and 1.074 nm−1. The SAXS patterns of both MO-only CB and cationic CBs exhibited distinct Bragg peaks at the space ratio of √2:√4:√6, corresponding to Miller indices [hkl]: [110], [200], and [211], respectively. These patterns are indicative of a primitive cubic phase (QIIP), belonging to the space group Im3m. The lattice parameters of the MO-only CBs and cationic CBs were measured to be 13.05 nm and 14.46 nm, respectively. The doping of the DOTAP cationic lipid resulted in a slight increase of lattice parameter. However, the internal QIIP nanostructure was retained, which is consistent to the previous reported results that the interplay between charge repulsion of the lipid membrane interfaces induced larger water channels in CBs.23
Following the macrophage membrane coating, the scattering intensity of the peaks in the CBs dispersions slightly decreased. This reduction can be attributed to factors such as dilution or changes in ionic strength.24 To minimize the influence of phase changes resulting from dilution and variations in ionic strength, we maintained a consistent dilution factor and ionic strength (same PBS volume) for different MM@CBs formulations. This approach allowed us to standardize the impact of dilution and ionic strength on the phases of CBs at a consistent level. For the MM@CBs with a 1:1 ratio (MO:cell membrane protein weight ratio) formulation, the Bragg peaks appeared at ∼ 0.775, 1.088, and 1.329 nm−1 represented a space ratio of √2:√4:√6, characterizing the retained QIIP phase. Meanwhile, the presence of peaks at ∼1.023, 1.220, and 1.424 nm−1 featured a space ratio of √2:√3:√4, characterizing the diamond cubic phase QIID with the Pn3m space group, indicating the coexistence of QIID and QIIP phases. Notably, the presence of QIID was observed even at a low cell membrane protein ratio (10:1 MO to protein weight ratio), and the lattice parameters of both QIID and QIIP phases decreased as the ratio of cell membrane vesicles increased. Both the phase transition from QIIP → QIID and the reduction of lattice parameter indicate an increase in the negative membrane curvature following cell membrane coating.25,26 As the cell membrane protein ratio increased, the relative intensity of Bragg peaks corresponding to QIID increased, which implies that the cell membrane coating promoted the phase change of cationic CBs. These findings highlight the sensitivity of the CBs’ structure to the cell membrane protein ratios, revealing the intriguing possibility of obtaining diverse nanoscale structures through the controlled manipulation of the membrane protein content.
There is a mathematical relationship between the coexisting QIID and QIIP surfaces, defined by the so-called Bonnet transformation.27 In previous research, it was established that the bicontinuous phases QIIP and QIID both consist of minimal surfaces. Under equilibrium conditions, the average Gaussian curvatures of these coexisting bicontinuous cubic phases (QIIP and QIID) are expected to be identical. It can be demonstrated that the ratio of the lattice parameters between QIIP and QIID phases (aIm3m/aPn3m) should be close to the theoretical value of 1.28, which is commonly referred to as the Bonnet relation27,28 To examine the relationship between the coexisting QIID and QIIP phases in MM@CBs, the ratio of the lattice parameters between QIIP and QIID phases (aIm3m/aPn3m) was calculated to examine the Bonnet relation between the coexisting QIIP and QIID phases. The results of this calculation are listed in Table 2. The lattice parameter ratios of various MM@CBs formulations fall within the range of 1.31–1.35 when measured at a temperature of 37 °C. These values closely align with the theoretical prediction and are consistent to the previously reported ratio of 1.33 for MO-based CB particles exhibiting coexisting QIID and QIIP phases.29 The Bonnet relationship indicates that QIIP and QIID phases can be interchanged through bending while maintaining a constant Gaussian curvature.
MO to cell membrane protein weight ratio | QIIP lattice parameter (aIm3m) [nm] | QIID lattice parameter (aPn3m) [nm] | Bonnet ratio (aIm3m/aPn3m) |
---|---|---|---|
10:1 | 12.53 | 9.57 | 1.31 |
7:1 | 12.40 | 9.37 | 1.35 |
4:1 | 12.03 | 8.94 | 1.35 |
3:1 | 11.68 | 8.81 | 1.32 |
2:1 | 11.57 | 8.75 | 1.32 |
1:1 | 11.57 | 8.69 | 1.33 |
The cubic phase of the CBs undergoing changes from QIIP to QIID eventually form a biphasic system. This could be attributed to the proteins and lipids present in the cell membrane vesicles fusing with the CBs’ surface, inducing a cubic phase transition. The various molecules existing in the cell membrane such as protein, peptides, phospholipids, and cholesterol are assumed to play roles in the CBs phase changes.30 Thomas G. Meikle et.al fabricated CBs for antimicrobial peptides (AMPs) delivery.25 Their research elucidated that, in the absence of peptides MO-based CBs exhibited QIIP (Im3m) phase. Whereas, after the loading of gramicidin A’ peptides, a sharp decrease in the lattice parameter was observed. From 3 to 5 mol% peptides, MO-based CBs underwent phase transition from QIIP (Im3m) to coexistence of QIIP and QIID (Pn3m) phases. On the other hand, Sampa Sarkar et al. carried out a systematic investigation on phase behavior of the quaternary lipid–water systems consisting of three different lipid species (monoolein, cholesterol, and various phospholipids) and water.26 The doping of cholesterol, phosphatidylcholine (PC), and saturated phosphatidylethanolamine (PE) in MO-based CBs drive a reduction in interfacial curvature and resulting in phase transitions in the sequence of QIID → QIIP →Lα, which is opposite to the phenomenon observed in this study. Additionally, the protein to phospholipid weight ratio of the extracted macrophage membrane vesicles was measured to be ∼7.29:1 (wt/wt) (ESI†). Therefore, it is rational to conclude that, the phase change undergone by the CBs (QIIP → QIID) after macrophage membrane coating was mainly attributed to the fusion of protein/peptides with CBs. A high coverage of binding protein on CBs interfacial membranes is believed to induce an incased CBs’ interfacial membrane curvature.31 In this study, the high positive charge density of cationic CBs, facilitated the recruitment and fusion of negatively charged macrophage membranes. The extensive coverage of macrophage membrane on cationic CBs induced a higher interfacial membrane curvature, resulting in the formation of QIID phases. Additionally, a higher membrane protein-to-MO ratio appeared to intensify this phase transition, as evidenced by increased QIID phases Brag peak intensities in SAXS pattern (Fig. 2(B)). Given that a low protein ratio may not achieve sufficient camouflaging on CBs, the 1:1 MO to protein weight ratio was chosen as the optimal ratio for the subsequent studies. This ratio was deemed suitable to ensure effective cell membrane camouflaging on the CBs.
The ζ-potential results of different CBs after 0.5 h of incubation at 37 °C are shown in Fig. 3(A). Both MO-only CBs and MM@CBs exhibited negative ζ-potentials after incubation with PBS, RPMI media, and mouse plasma. For cationic CBs, a positive ζ-potential was observed after incubation with PBS. However, after incubation with RPMI media and mouse plasma, the ζ-potential of cationic CBs dramatically switched from positive to negative. At physiological pH, the acidic amino acids bearing negative charge in the cell culture media would attach to the positively charged surface of the cationic CBs, resulting in a net negative ζ-potential. In mouse plasma, serum proteins such as albumin and globulin would attach to or fuse with the CBs, leading to a negative ζ-potential.32
The variations in mean hydrodynamic diameter and polydispersity index (PDI) of different CBs after incubation in PBS, RPMI media, and mouse plasma are shown in Fig. 3(B) and (C). During incubation with PBS and RPMI media, all CBs exhibited stable particle sizes without significant variations. However, after incubation in mouse plasma, the size of MO-only CBs and cationic CBs immediately decreased from ∼200 nm to ∼100 nm, accompanied by increased PDI. These results imply a collapse of non-camouflaged CBs in plasma. In contrast, the size and PDI of MM@CBs remained stable during the first 4 h of incubation in mouse plasma, with only a slight decrease in particle size observed after 6 h incubation. These results demonstrate the enhanced stability of CBs after cell membrane camouflaging.
Previous studies have reported that MO-based CBs interact rapidly with plasma upon contact, resulting in partial destabilization and collapse of the CBs. Warunee et al.15 investigated the disintegration process of MO-based CBs in plasma. They incubated CBs with whole plasma and specific plasma components such as HDL (high-density lipoprotein), LDL (low-density lipoprotein), and albumin. Their study revealed that HDL affected CBs’ integrity, leading to the formation of smaller particles containing components from both CBs and HDL. When incubated with LDL, CBs fused with LDL. Albumin was shown to extract monoolein from the CB particles. J.C. Bode et al.16 also carried out an investigation on the interaction between MO-based CBs and blood components. Cryo-TEM investigation revealed that, when incubated in plasma, the CB particle surface was decomposed first, accompanied with a decreased particle size. Additionally, the F127 stabilizer was not able to protect the CBs from the described interactions with blood compounds.
Our results, along with previous research, reveal that MO-based CBs interact with blood plasma and disintegrated immediately after contact. The camouflaging of macrophage membrane enhanced the stability of CBs during incubation with plasma. The core–shell structure of MM@CBs is believed to prevent direct interaction between plasma components and CB cores, inhibiting CB disintegration.
The cellular internalization efficacy after different incubation time spans (2, 4, 6, 8 and 12 h) was investigated using FCM. It was noted that individual macrophage in a population shows heterogeneity in the phagocytosis capacity.38 As shown in FCM dot plots (Fig. 4(A)), after a 4 h treatment with cationic CBs, the J774.1 macrophages were separated into two populations, including a low NBD fluorescence population (up left) and a high NBD fluorescence population (low right). This justified the heterogeneity in the macrophage internalization capacity. However, after a 4 h treatment with MM@CB, the cell population did not show clear separation. The NBD fluorescence intensity of MM@CBs treated J774.1 cells was generally lower than that of the cationic CBs treated cells, indicating a general inhibition of nanoparticles internalized by macrophages, solidifying the macrophage evasion capacity of MM@CBs. The internalization efficacy was monitored for 12 h using FCM. The results (Fig. 4(B)) revealed that, during 2 to 6 h treatment, the MM@CBs internalization efficacy was significantly lower than the cationic CBs. Compared to the cationic CB group, the cellular internalization efficacy, as calculated by the mean fluorescence intensity (MFI) increase, was reduced by 40.1 ± 13.8% (2 h incubation), 43.8 ± 12.1% (4 h incubation) and 36.6 ± 3.8% (6 h incubation) in the MM@CB group. After 8 h treatment, the internalization efficacies of cationic CBs and MM@CBs gradually converged. The CLSM images of J774.1 cells after CBs treatments were illustrated in Fig. 4(C). In comparison to the cationic CBs group, J774.1 cells treated with MM@CBs showed a lower NBD fluorescence intensity after 4 h incubation. Both FCM and CLSM results showed a reduction in the internalization efficacy of MM@CBs by the membrane source macrophage cell (J774.1), suggesting an in vitro immune escape capability of MM@CBs. However, according to the FCM results (Fig. 4(B)) and CLSM (Fig. S3, ESI†), no significant difference in internalization efficacy was observed between MM@CBs and cationic CBs when interacting with Colon26 cancer cells. Considering that both cationic CBs and MM@CBs exhibited negative ζ-potential upon contact with cell culture media (Fig. 3(A)), it appears that surface charge is not the primary factor influencing cellular internalization efficacy. In this study, the membrane source macrophages (J774.1) are non-polarized (M0) phenotype, which may display negligible selective internalization ability towards other cells.37,39,40 Generally, macrophages can be influenced by various factors to change their phenotype into two categories: M1 phenotype (pro-inflammatory) and M2 phenotype (anti-inflammatory). A previous study by C. Hu et al.41 constructed macrophage membrane coated nanoparticles for anti-tumor applications. Their findings revealed that both M0 and M1 macrophage membrane-coated nanoparticles demonstrated macrophage evasion performance in vitro, while their cancer cell internalization efficacies were comparable. Other research has indicated that tumor-associated macrophage (TAM) membrane coated nanoparticles exhibited better tumor targeting performance.42,43 TAM is a special class of macrophage present in the microenvironment of solid tumors and demonstrate tumor-homing capabilities.44 This enhanced cancer targeting is likely due to the presence of specific surface markers on TAMs that facilitate their interaction with cancer cells. However, TAM involves both M1 and M2 phenotypes, and the mechanisms of macrophage polarization and their cancer-targeting performance require further investigation. Overall, MM@CBs demonstrated notable macrophage evasion compared to non-coated CBs, though they did not significantly alter the internalization efficacy in Colon26 cancer cells.
Based on the high stability and macrophage evasion capabilities of MM@CBs observed in vitro, we further investigated their biodistribution in mice. Fig. S4 (ESI†) summarized the biodistribution results for 24 h post-injection. Fig. 4(D) depicts the in vivo biodistribution images of BALB/c mice following intravenous (i.v) injection of different CBs for 9 h and 24 h. The cationic CBs showed a wide distribution in whole mouse body, whereas MM@CBs did not. As mentioned previously, the MO-based CBs interact with plasma rapidly upon contact, leading to a fraction of CBs destabilization and collapsing (Fig. 3(B)), resulting in a widespread of DiR in mice bodies. In the case of MM@CBs, the nanoparticles appear to be stabilized, leading to moderate interactions between CB cores and plasma, thereby reducing CB collapse. The CBs accumulation in main organs (liver, spleen, kidneys, heart and lungs) were investigated at 9 h and 24 h post-injection. Cationic CBs and MM@CBs exhibited comparable accumulation in liver and spleen which is due to the liver/spleen filtration.45 However, MM@CBs exhibited lower accumulation in organs including lungs, kidneys, and heart. Especially, MM@CBs showed a marked reduced accumulation in lungs (9 h and 24 h post-injection, p < 0.0001). Previous research demonstrated a similarly high accumulation of MO-based CBs in heart, kidneys and lungs.46 Firstly, the cationic CBs partially collapsed upon contacting with plasma (Fig. 3(B)), resulting in a widespread of DiR signals in main organs. Another factor is that the cationic CBs was masked with a layer of serum protein corona upon contacting with plasma. Which is evidenced by the ζ-potential switch of cationic CBs (Fig. 3(A)) upon contacting with plasma. The serum protein corona masking on cationic CBs would trigger the recognition of nanoparticles by macrophages,47 and could also determine their in vivo fate.48,49 Certain distinct serum protein species formed on to the nanoparticles’ surface could promote their accumulation in lungs.48 Coating nanoparticles with cell membrane could reduce the formation of serum protein corona and reduce their accumulation in certain organs.50,51 Generally, this reduced accumulation in heart, kidneys and lungs would likely prolong CB circulation in vivo, moderate the side effect of cargo drug molecules on those organs, reduce the off-target effects.
CB formulation | Hydrodynamic diameter [nm] | PDI | Zeta potential [nm] | Space group | Lattice parameter [nm] |
---|---|---|---|---|---|
Cationic CBs + DOX | 228.2 ± 3.5 | 0.14 ± 0.03 | 29.9 ± 1.5 | Im3m | 14.46 |
MM@CBs + DOX | 270.7 ± 5.9 | 0.28 ± 0.01 | −27.5 ± 1.9 | Im3m/Pn3m | 14.28/10.95 |
The DOX release pattern in vitro results are shown in Fig. 5(A). Both the cationic CBs and the MM@CBs demonstrated comparable drug release patterns. However, it was observed that the general release ratio from MM@CBs was slightly higher than that from cationic CBs. The reduction of DOX EE and the difference in drug release rates can be attributed to the phase and structure changes of CBs after macrophage camouflaging. During the cell membrane coating process, the cubic lipid phase change (from Im3m to Pn3m), as well as the reduction of the water channel radius result in partial DOX leakage from the CBs, and induced a relatively higher DOX release rate from MM@CBs. These results highlight the importance of carefully considering the impact of the cell membrane coating and phase changes on drug release behavior in CBs. Understanding these factors can aid in developing a controlled drug release pattern. Further investigations are warranted to delve deeper into the underlying mechanisms and to fine-tune the drug-release properties of MM@CBs for specific therapeutic purposes.
The anti-cancer performance was assessed using Colon26 cell lines. Free DOX and different CBs containing DOX were introduced to Colon26 cells at a final DOX concentration of 1 μg mL−1 (MO concentration was 0.2 mg mL−1) and subjected to 12/24 h treatment. For comparation, cationic CB (without DOX) and MM@CB (without DOX) were introduced to Colon26 cells at a final concentration of 0.2 mg mL−1 (based on MO concentration). As shown in Fig. 5(B) and (C), cationic CBs and MM@CBs induced mild and comparable apoptosis on Colon26 cells. The cationic CBs + DOX and MM@CBs + DOX groups exhibited slightly enhanced anti-cancer performance compared to the free DOX group after 12 h treatment, with no remarkable difference between the cationic CBs + DOX group and MM@CBs + DOX group. However, after 24 h, both the cationic CBs + DOX group and MM@CBs + DOX groups notably outperformed the free DOX group. The main difference was observed in the late apoptotic cell ratio in which the MM@CBs + DOX group is especially higher than that of the free DOX group as well as the cationic CBs + DOX group. This can be attributed to the higher release rate of DOX from MM@CBs upon cellular uptake. Given that, cationic CBs and MM@CBs showed comparable internalization efficacy by Colon26 cells. MM@CBs with faster DOX release kinetics might lead to a higher concentration of free DOX inside the cells, potentially triggering earlier apoptosis and accelerate the late apoptotic ratios in Colon26 cells.
In conclusion, the study's outcomes highlight the feasibility of employing macrophage cell membrane camouflaging as a surface modification strategy for CBs. The successful integration of physical and bio-functional properties in this approach shows promise for its potential applications in future drug delivery research and development.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d4tb01063a |
This journal is © The Royal Society of Chemistry 2024 |