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Acta Pharmacologica Sinica logoLink to Acta Pharmacologica Sinica
. 2010 Feb 5;31(2):237–243. doi: 10.1038/aps.2009.199

Effect of lactoferrin- and transferrin-conjugated polymersomes in brain targeting: in vitro and in vivo evaluations

Hui-le Gao 1, Zhi-qing Pang 1, Li Fan 1, Kai-li Hu 1, Bing-xian Wu 1, Xin-guo Jiang 1,*
PMCID: PMC4002844  PMID: 20139907

Abstract

Aim:

To evaluate the effect of lactoferrin (Lf) and transferrin (Tf) in brain targeting.

Methods:

Polymersomes (PSs), employed as vectors, were conjugated with Lf or Tf and were characterized by morphology, particle size, zeta potential, and surface densities of the Lf or Tf molecules. In vitro uptake of Lf-PS and Tf-PS by bEnd.3 cells was investigated using coumarin-6 as a fluorescent probe. In vivo tissue distribution and pharmacokinetics of 125I-Lf-PS and 125I-Tf-PS were also examined.

Results:

The mean particle size of PS, Lf-PS, and Tf-PS was around 150 nm and the zeta potential of the PSs was about -20 mV. Less than 0.12% of the coumarin was released from coumarin-6-loaded PS in 84 h indicating that coumarin-6 was an accurate probe for the PSs' behavior in vitro. It was shown that the uptake of Lf-PS and Tf-PS by bEnd.3 cells was time-, temperature-, and concentration-dependent. Both Lf and Tf could increase the cell uptake of PSs at 37°C, but the uptake of Tf-PS was significantly greater than that of Lf-PS. In vivo tissue distribution and pharmacokinetics in mice revealed higher brain uptake and distribution of Tf-PS than Lf-PS, which was in accordance with in vitro uptake results. The drug targeting index (DTI) of Tf-PS with regard to Lf-PS was 1.51.

Conclusion:

Using a PS as the delivery vector and bEnd.3 cells as the model of the blood-brain barrier (BBB), Tf was more effective than Lf in brain targeting.

Keywords: blood-brain barrier, lactoferrin, transferrin, brain drug targeting

Introduction

The blood-brain barrier (BBB), the most formidable obstacle in the treatment of brain diseases, protects the central nervous system (CNS) from exogenous toxicants, but at the same time, also excludes potential therapeutics1. In fact, almost all of the large-molecule drugs and more than 98% of small-molecule drugs cannot cross the BBB2. Realizing that so few drugs cross the BBB, researchers have continuously committed to developing various drug delivery and targeting strategies to overcome this obstacle3, 4, 5. However, the efforts are still far from sufficient.

As local invasive (direct injection/infusion) delivery has been associated with many disadvantages6, global noninvasive strategies taking advantage of endogenous nutrient transport systems present at the BBB can facilitate widespread transport across the whole brain without disruption of the barrier properties7. Among the various noninvasive approaches, receptor-mediated systems seem to be one of the most promising. Coupling vectors with specific receptors on the BBB to loading vehicles combines the advantages of brain targeting, high incorporation capacity, reduction of side effects, and circumvention of the multidrug efflux system8.

Lactoferrin (Lf) and transferrin (Tf) belong to the transferrin family. Tf is a single-chain glycoprotein containing about 700 amino acids whereas Lf contains about 690 amino acids9, 10. Though Tf and Lf are quite similar overall in sequence and structure, and coordinate iron in the same manner, they differ in the structure of their inter-lobe linker, the salt bridge between the helical linker, their pattern of disulfide bonding, and their receptor binding properties11. Lf receptor (LfR) and Tf receptor (TfR) have been demonstrated to exist on the BBB in different species and to be involved in Lf and Tf transport across the BBB in vitro and in vivo12, 13, 14, 15. There are interesting reports that the expression of LfR in the brain is increased under some disease conditions such as Parkinson's disease and Alzheimer's disease 16, 17, 18 and that TfR is more highly expressed on tumor cells than on ordinary cells19. These data suggest Lf and Tf have prospective benefits in brain targeting.

Recently, Ji et al compared the brain uptake of Lf with that of Tf; the uptake of Lf was much higher than Tf, indicating that Lf might be more useful as a ligand for facilitating drug delivery into the brain20. However, there are several factors that can affect the brain targeting of drug delivery systems, such as the binding affinity and capacity of targeting ligands, the surface density of the ligands conjugated with each vector, the characteristics of vectors, and blood elimination. The characteristics of targeting ligands might change after they conjugate with vectors, and the targeting effect of drug delivery systems is not always coincident with that of targeting ligands. Therefore, it has not been confirmed which ligand – Lf or Tf – has better brain targeting ability after conjugation with vectors, which is important for researchers to develop new effective brain drug delivery systems.

To evaluate the effect of two targeting ligands, Tf and Lf, in enhancing drug delivery into the brain, a vector could be employed. Polymersomes (PSs), as a new class of synthetic thin-shelled capsules based on block copolymer chemistry, are self-assembled vesicles of amphiphilic block copolymers with thicker and tougher membranes than lipids21, 22. Compared with liposomes, PSs contain many advantages such as adjustable amphiphile molecular weight (MW) and ratio, tunable physical and chemical properties, and tunable in vivo behavior23. Pang et al confirmed that PSs could be employed as vectors to develop a brain targeting drug delivery system23.

The objective of this paper is to develop two brain delivery systems, Lf-conjugated PS (Lf-PS) and Tf-conjugated PS (Tf-PS), and to compare the relative superiority of Lf and Tf in brain drug targeting.

Materials and Methods

Materials and animals

Poly (butadiene-b-ethylene oxide) (PBD-PEO, 5000-2300) was purchased from Polymer Source Inc, America. Poly (ethylene glycol-b-lactic acid) (PEG-PLA, 3400:4000) and maleimide-PEG-PLA (Mal-PEG-PLA, 3400:4000) was custom-synthesized by Chengdu Organic Chemicals Co, Ltd, China. Holo-transferrin (human), lactoferrin (from bovine colostrum), 2-iminothiolane (Traut's reagent) and coumarin-6 were purchased from Sigma, America. Na125I was purchased from Chengdu Gaotong Isotope Corporation, China. Sepharose CL-4B was purchased from Pharmacia, Sweden. Other agents (analytical pure) were all from Sinopharm Chemical Reagent Co, Ltd, China.

KM mice (18–20 g, ♀) were obtained from Shanghai Slac Laboratory Animal Co, Ltd and maintained at 22±2 °C on a 12-h light-dark cycle with access to food and water ad libitum. The animals used for the experiment were treated according to the protocols evaluated and approved by the ethical committee of Fudan University.

Preparation and characterization of PS, Lf-PS, and Tf-PS

Preparation of PSs

PSs were prepared using film rehydration as described by Photos et al24. Briefly, 2 mL of copolymer solution in dichloromethane (5 g/L, PBD-PEO:PEG-PLA:MAL-PEG-PLA=7:2:1) was first thoroughly dried onto the walls of a 100-mL glass vial for at least 1 h on the rotary evaporator (R-200, Buchi, Germany). A volume of 2 mL of 0.01 mol/L sodium phosphate buffer (PBS), pH 7.4, was added to rehydrate the film for 30 min at 37 °C. The liquid was subjected to sonication (200 W) for 200 s, followed by passing through a 0.22 μm microporous membrane. Coumarin-6-loaded PSs were prepared with the same procedure except that 0.1% (w/v) of coumarin-6 was added to the dichloromethane solution before film formation and the obtained PSs were subjected to a 1.5×20 cm sepharose CL-4B column and eluted with 0.01 mol/L PBS, pH 7.4, to remove the unentrapped coumarin-6.

Preparation of Lf-PS and Tf-PS

Lf and Tf were thiolated by a reaction for 60 min with a 30:1 molar excess of 2-iminothiolane in 0.15 mol/L sodium borate buffer, pH 8.0, supplemented with 0.1 mmol/L EDTA, as described previously25. The product was then applied to a Hitrap Desalting column (Pharmacia, Sweden) and eluted with 0.01 mol/L PBS, pH 7.4. The protein fractions were collected and introduced thiol groups were determined spectrophotometrically (λ/nm=412) with Ellman's reagent26.

Lf-PS and Tf-PS were prepared by incubating the purified thiolated Lf or Tf with the PS at room temperature for 5 h. The products were then subjected to a 1.5×20 cm sepharose CL-4B column and eluted with 0.01 mol/L PBS, pH 7.4, to remove the unconjugated proteins. The particles concentration was determined by turbidimetry using a UV-2401 spectrophotometer at 350 nm (Shimadzu, Japan).

125I-Lf-PS and 125I-Tf-PS were prepared by incubating the Lf or Tf with Na125I (1 mg 74 MBq and 1 mg 92 MBq, respectively) at 35 °C for 5 min. The products were applied to a Hitrap Desalting column and eluted with 0.01 mol/L PBS, pH 7.4. The protein fractions were subjected to the above procedure to prepare 125I-Lf-PS and 125I-Tf-PS.

Morphology, particle size, and zeta potential

The mean diameter and zeta potential of the PS, Lf-PS, and Tf-PS were determined by dynamic light scattering (DLS) using a Zeta Potential/Particle Sizer NICOMP380 ZLS (Santa Barbara, CA). The morphological examination of PS was carried out by transmission electron microscope (H-600, Hitachi, Japan).

The number of Lf or Tf molecules conjugated with each Lf-PS or Tf-PS

The calculation for the surface number of Lf or Tf molecules per Lf-PS or Tf-PS was based on the relation between concentration of Lf-PS or Tf-PS and intensity of radioactivity of Lf or Tf25, 27. The procedure is as follows:

If A1 is the intensity of radioactivity of 125I-Lf or 125I-Tf, m1 is the weight of Lf or Tf; then the specific radioactivity (k1) can be calculated by: k1=A1/m1;

If m2 is the weight of 125I-Lf-PS or 125I-Tf-PS; D is the particle diameter of 125I-Lf-PS or 125I-Tf-PS; then the number (N1) of 125I-Lf-PS or 125I-Tf-PS can be calculated by N1=6×m2×10-3/[π×(D3–D3)×10-21×ρ], where ρ=1.06 g/cm3, d=8 nm28;

If A2 is the intensity of radioactivity of 125I-Lf-PS or 125I-Tf-PS; M is molecular weight of Lf or Tf; then the number of 125I-Lf or 125I-Tf conjugated with PS can be calculated by: N2=A2×k1/M×6.02×1023;

Then, the number of Lf or Tf per 125I-Lf-PS or 125I-Tf-PS can be calculated by: n=N2/N1.

In vitro release of coumarin-6 from PS

In vitro release experiments of coumarin-6 from the PS were performed at 37 °C in 0.01 mol/L PBS (pH 4 and pH 7.4) to evaluate if the fluorescent probe remained associated with the particles during an 84-h incubation period. pH 4 and pH 7.4 represented the pH in the endo-lysosomal compartment and physiologic pH, respectively. Coumarin-6-loaded PSs were incubated at a particle concentration of 7 mg/L with shaking at 100 r/min under a predetermined sink condition. Periodic samples were lyophilized, then reconstituted by 1 mL methanol, and used for HPLC analysis of coumarin-6 after centrifugalization at 10 000×g for 10 min.

In vitro uptake of coumarin-6-labeled PS, Lf-PS, and Tf-PS by bEnd.3 cells

Cell culture

bEnd.3 cells, the immortalized mouse brain endothelial cell line, were maintained in 10-cm tissue culture dishes in Dulbecco's Modified Eagle's Medium supplemented with 10% fetal bovine serum (FBS), penicillin (100 kU/L) and streptomycin (100 mg/L).

Fluorescent microscopy of PS, Lf-PS, and Tf-PS uptake by bEnd.3 cells

bEnd.3 cells were seeded at a density of 104 cells/cm2 on a polylysine-coated glass cover slip. On the second day, after preincubation with HBSS for 15 min, the cells were incubated with coumarin-6-loaded PS, Lf-PS, and Tf-PS suspensions (300 mg/L in HBSS, pH 7.4) for 0.5, 1, and 2 h at 37 °C, respectively29, 30. At the end of the experiment, the cells were washed three times with PBS and fixed by 4% paraformaldehyde for 20 min. Then, they were washed three times with PBS, mounted in Dako fluorescent mounting medium and observed under a fluorescent microscope (Olympus, Japan).

Quantitative analysis of coumarin-6-labeled PS, Lf-PS, and Tf-PS uptake

bEnd.3 cells were seeded at a density of 104 cells/cm2 onto 24-well plates. On the second day, after preincubation with HBSS for 15 min, the medium was replaced with the suspension of PS, Lf-PS, or Tf-PS (10–600 mg/L) and incubated for 1 h at 4 °C and 1 h at 37 °C. In a separate experiment, to study the effects of incubation time on particle uptake, the medium was replaced with 1 ml 100 mg/L suspension of PS, Lf-PS, or Tf-PS in HBSS per well and the plate was incubated for 15 min, 30 min, 1 h, and 2 h at 37 °C. At the end of the incubation period, the cells were washed with ice-cold PBS five times. Subsequently, the cells were solubilized in 400 μL 1% Triton X-100 and 20 μL cell lysate from each well was used to determine the total cell protein content using the BCA protein assay (Shanghai Shenergy Biocolor Bioscience and Technology Co, Ltd, China). A volume of 200 μL of the cell lysates were lyophilized and used for HPLC analysis of coumarin-6 after extraction by 700 μL methanol. The uptake of PS, Lf-PS, and Tf-PS by bEnd.3 cells was calculated from the standard curve and expressed as the amount of PS, Lf-PS and Tf-PS (mg) taken up per gram of cell protein.

Pharmacokinetics and tissue distribution of 125I-Lf-PS and 125I-Tf-PS

A total of 145 mice were randomly divided into two groups, receiving 125I-Lf-PS or 125I-Tf-PS. The animals were injected in the tail vein at a dose of 20 mg/kg 125I-Lf-PS or 125I-Tf-PS. At 0.083, 0.25, 0.5, 1, 2, 4, 6, 8, 12, 16, 24, and 48 h following iv injection, the blood samples were collected and the mice were sacrificed. The brain, heart, liver, spleen, lung, and kidney tissues were harvested, followed by a quick washing with cold saline and then subjected to weighing and detection by radioimmune γ detector (SN-695, Hesuo Rihuan, China).

Concentration data were dose-normalized and plotted as drug concentration-time curves in the blood and brain. The Cmax and tmax values were read directly from the concentration-time profile and the area under the concentration-time curve (AUC) was calculated by the trapezoidal rule. The statistical differences between Lf-PS and Tf-PS were assessed using a paired Student's t-test and a P value of less than 0.05 was accepted as significant.

Results

Preparation and characterization of PS, Lf-PS, and Tf-PS

The mean particle size of PSs was around 150 nm and the average zeta potential was around -20 mV, which is regarded as favorable for brain transport. After Lf or Tf conjugation, the particle size and zeta potential changed slightly. The mean particle size of Lf-PS and Tf-PS changed from 166.4 nm and 141.0 nm to 167.6 nm and 146.1 nm, respectively, while the average zeta potential of Lf-PS and Tf-PS changed from -24.25 mV to -22.08 mV and -20.45 mV, respectively. TEM photographs showed PSs were generally spherical and of regular size (Figure 1).

Figure 1.

Figure 1

Transmission electron micrograph of PS negatively stained with uranyl acetate solution. The bar is 50 nm.

The average number of Lf or Tf molecules conjugated with PSs was 45.5 and 50.4 per particle, respectively. Therefore, the material ratio was slightly changed in the experiment thereafter to make sure the average molecular number of Lf and Tf were as close to each other as possible.

The particle size and zeta potential of particles did not change much after conjugation with Lf or Tf, and the amount of protein conjugated with particles was extremely little compared with the amount of particles and it would not affect the permeability of the membrane of particles. Thus, the in vitro release experiments of coumarin-6 from the PSs can represent that from Lf-PS and Tf-PS. Coumarin-6 has high fluorescence efficiency, liposolubility and detection sensibility, and coumarin-6 has a detection limit as low as 4 ng/L by HPLC. Many researchers have used it as a fluorescence probe of nano drug delivery systems in quality and quantity analysis5, 27. Although the release speed at pH 4.0 was quicker than that at pH 7.4, the cumulative released percentage of both was smaller than 0.12% (Figure 2), which is similar to other studies5, 23, 27. This suggested that most of the incorporated coumarin-6 remained in the particles and indicated that the fluorescence signal detected in the cell or tissue samples was attributed mainly to the coumarin-6 encapsulated into the particles.

Figure 2.

Figure 2

In vitro release of 6-coumarin from PS in 0.01 mol/L PBS (pH 7.4 and 4.0).

Uptake of coumarin-6-loaded PS, Lf-PS, and Tf-PS by bEnd.3 cells

The uptake of PS, Lf-PS, and Tf-PS by bEnd.3 cells was dependent on the incubation time within 2 h (Figure 3B). At each timepoint, the uptake amount of Lf-PS and Tf-PS was higher than that of PS, about 1.56 and 1.86 times higher than that of PS at 2 h, respectively; and the uptake amount of Tf-PS was 1.19 times as much as that of Lf-PS. The uptake amount of all PS, Lf-PS and Tf-PS under 37 °C was much higher than that under 4 °C, suggesting that the uptake of all particles was temperature-dependent (Figure 3A). The uptake of PS, Lf-PS, and Tf-PS was also concentration-dependent. At 37 °C, the uptake increased with an increase in the concentration, showing almost first-order kinetics (Figure 3A). The uptake of Lf-PS and Tf-PS was 2.19- and 3.33-fold greater than that of PS at 600 mg/L, respectively; and the uptake of Tf-PS was 1.52 times greater than that of Lf-PS at 600 mg/L. Under 4 °C, the uptake of PS, Lf-PS, and Tf-PS quickly reached saturation at a concentration of 100 mg/L, showing no significant difference between the three kinds of PSs.

Figure 3.

Figure 3

BCECs uptake (A) 10–600 mg/L PS, Lf-PS, and Tf-PS at 37 ºC and 4 ºC incubation for 1 h, respectively; (B) 100 mg/L PS, Lf-PS, and Tf-PS at 37 ºC incubation for different time. n=3. Mean±SD. bP<0.05, cP<0.01 vs PS. eP<0.05 vs Lf-PS.

Fluorescent microscopy photographs of bEnd.3 cells exposed to PS, Lf-PS, and Tf-PS at the same concentration (300 mg/L) demonstrated that the increase of fluorescent intensity in the cells correlated with an increase in the time of incubation (Figure 4). There was an obvious accumulation of dye of Lf-PS and Tf-PS in the cells compared with that of PS for 30, 60, and 120 min at 37 °C. Our in vitro release results confirmed the relative inertia of the coumarin-6 in the particles. Thus, we concluded coumarin-6 detected in the cells reflected the particles.

Figure 4.

Figure 4

Cell uptake of polymersomes by bEND.3 cells. 300 mg/L PS at 37 ºC for 30 min (A), 60 min (D), 120 min (G); 300 mg/L Lf-PS for 30 min (B), 60 min (E), 120 min (H) and 300 mg/L of Tf-PS for 30 min (C), 60 min (F), 120 min (I), respectively, bar 50 μm.

Tissue distribution of 125I-Lf-PS and 125I-Tf-PS

To evaluate the brain uptake and tissue distribution of the Lf-PS and Tf-PS, 125I was labeled on Lf and Tf, and the blood and other tissues' concentrations of the particles were detected with a radioactive method. Both Lf-PS and Tf-PS exhibited similar concentration-time profiles (Figure 5A). However, the blood AUC0–t of Tf-PS was much higher than that of Lf-PS, about 1.84-fold greater (Table 1). The elimination rate constant (β) of Lf-PS was 3.12-fold greater than that of Tf-PS, and the distribution rate constant (α) of Lf-PS was 2.11-fold greater than that of Tf-PS (Table 1).

Figure 5.

Figure 5

(A) The average PS's concentration-time curve in whole blood followed by iv injection of Lf-PS or Tf-PS in mice. n=6. Mean±SD. (B) The Lf-PS and Tf-PS concentration in brain at different time; (C) The Lf-PS and Tf-PS AUC0–t in different tissues. bP<0.05, cP<0.01 vs Lf-PS.

Table 1. Pharmacokinetic parameters of Lf-PS and Tf-PS in whole blood and brain following iv injection of 125I-Lf-PS or 125I-Tf-PS in mice.

PK parameters Blood Brian
Lf-PS Tf-PS Lf-PS Tf-PS
αa (h−1) 0.107 0.0508
t1/2α a (h) 6.49 13.6
βb (h−1) 2.43 0.780 0.0216 0.0223
t1/2βb (h) 0.285 0.888 32.1 31.1
tmax (h) 0 0 0.25 0.5
Cmax (mg/L or ng/g) 55.68±5.32 49.86±5.80 43.44±6.88 80.04±7.02c
AUC0–t (mg/L·h or ng/g·h) 219.5±25.6 403.8±49.17c 458.6±89.5 1277±143c

a: α and t1/2α denotes distribution rate constant and distribution half life respectively; b: β and t1/2β denotes elimination rate constant and elimination half life respectively; Cmax and AUC0–t are Mean±SD;

c

P<0.01 vs Lf-PS.

The brain uptake of Tf-PS was higher than that of Lf-PS at every timepoint (Figure 5B). The AUC0–t of brain concentration of Tf-PS was about 2.79-fold greater than that of Lf-PS (Table 1). However, in other tissues, this was not the case. The AUC0–t in heart, kidney, and lung of Tf-PS were significantly higher than that of Lf-PS (Figure 5C); the AUC0–t in spleen tissue had no significant difference with that in brain tissue; but the liver AUC0–t of Lf-PS was 1.34 times greater than that of Tf-PS, indicating that the Lf-PS was more easily phagocytized by macrophages than Tf-PS, which could make the blood AUC0-t lower.

To determine the difference between Lf-PS and Tf-PS in brain targeting, the drug targeting index (DTI) was calculated:

DTI=(AUCbrain/AUCblood)Tf-PS/(AUCbrain/AUCblood)Lf-PS

The closer a compound's DTI is to 1, the less targeting effect it has31. The brain DTI of Tf-PS with regard to Lf-PS was 1.51, which indicated that Tf-PS was more effective than Lf-PS in brain targeting.

Discussion and conclusion

bEnd.3 cells are an immortalized mouse brain endothelial cell line exhibiting endothelial properties. The cells express von Willebrand factor, vascular endothelial growth factor receptors and can internalize acetylated low-density lipoprotein32. They are an attractive candidate as a model of the BBB due to their rapid growth, maintenance of blood-brain barrier characteristics over repeated passages, formation of functional barriers and amenability to numerous molecular interventions5, 33. Thus, bEnd.3 cells were chosen as an easy BBB model to study the brain delivery properties of Lf-PS and Tf-PS in vitro.

The time-, temperature-, and concentration-dependent uptake of the particles suggested a process of active endocytosis. The enhanced uptake of Lf-PS and Tf-PS compared to PS by bEnd.3 cells might be caused by an additional endocytosis mechanism involving Lf and Tf, and this has been demonstrated by several researchers5, 15. The results also showed that Tf was more effective than Lf in facilitating cell uptake of PSs, which might have several reasons including the following: (1) The dissociation constant of Tf and TfR was approximately 1 nmol/L but the dissociation constant of Lf with LfR was 7 nmol/L and 5 μmol/L (LfR has two Lf binding sites)15, 34, which means the affinity of Tf with TfR is much higher than that of Lf with LfR bEnd.3; (2) bEnd.3 cells may exhibit a greater amount of TfR than LfR; and (3) the conjugated PSs down-regulated the affinity of Lf with LfR more than that of Tf with TfR. The last two hypotheses should be identified by further experiments.

TfR and LfR have been demonstrated to exist on the BBB in different species and to be involved in Tf and Lf transport across the BBB in vitro and in vivo11, 12, 14, 15. In the standard protocol, perfusion is performed before tissues are harvested, and in most of our past experiments, perfusion was performed. In this study, considering the aim was to compare the relative effect of Tf and Lf, and the blood effect may be neutralized, the perfusion was omitted. Several studies published recently have also omitted perfusion35. Our results showed that the difference of particles' AUC0-t of brain was partly affected by the blood elimination, which meant that Lf-PS was more easily identified and eliminated by cells of the mononuclear phagocytic system (MPS). The concentration of circulating Tf is about 25 μmol/L34, whereas the plasma concentration of endogenous Lf is approximately 16 nmol/L20: 1000-fold lower than Tf. The added Lf and Tf (conjugated with PSs) in the blood were about 14 nmol/L at the peak. Therefore, the added Lf greatly changed the circulating amount of Lf, whereas that of Tf only changed a little, which may have caused the MPS to more easily eliminate the Lf-PS, but the definite mechanism was unclear. Tf-PS was still better than Lf-PS in brain targeting, which was coincident with the results of bEnd.3 cells uptake in vitro. However, the ligands' conjugation with PSs increased not only the brain uptake but also the liver and spleen uptake of drug delivery systems, which might cause increased toxicities to these organs, a general obstacle that the nanoparticle systems have faced. Considering the BBB prevents almost 100% of large molecule drugs and about 98% of small molecule drugs from entering the brain, researchers mainly focused on increasing the brain drug concentration while ignoring other tissues' drug concentrations. Nowadays, researchers have gradually realized that increasing the site-specific distribution to the brain and decreasing the distribution to other tissues have become the key point in the treatment of brain diseases. Unfortunately, researchers have only been able to increase the distribution of nanoparticle systems to the brain while hardly decreasing the distribution to other tissues, which is the main obstacle researchers are unceasingly devoted to overcoming in brain drug delivery systems.

The brain targeting property of drug delivery systems is largely affected by the targeting ligands, so it is very important to choose the right targeting ligand in research design. Recently, most of the brain targeting moieties are either the related ligands of known receptors, or carriers on the BBB or the cationic proteins, which can bind with the anionic BBB, such as transferrin receptor monoclonal antibody OX26, insulin, and cationic albumin23, 27, 36. However, these targeting ligands generally present problems such as low specificity and not ideal brain targeting properties. Several researchers have tried to select peptides or nucleic acids as targeting moieties, which may contain much better characteristics, through several methods including phage display37 and systematic evolution of ligands by exponential enrichment38. These have shown their efficacy in a development perspective, which may largely increase the brain targeting effect of drug delivery systems.

Author contribution

Xin-guo JIANG designed the research; Hui-le GAO, Li FAN, and Bing-xian WU performed the research; Zhi-qing PANG and Kai-li HU contributed new reagents and analytic tools; Hui-le GAO analyzed the data; and Hui-le GAO, Zhi-qing PANG, and Kai-li HU wrote the paper.

Acknowledgments

We are very grateful to Prof Yao-cheng RUI, Department of Pharmacology, School of Pharmacy, The Second Military Medical University, China, for providing the bEnd.3 cell line. We also acknowledge Dr Jian-hua ZHU, School of Pharmacy, Fudan University, China, for his help on radioactive element labeling and detecting.

This work was supported by National Basic Research Program of China (973 Program) 2007CB935800, National Natural Science Foundation of China (30762544), National Key Program of Pharmaceutical Creation and Development (2009ZX09310-006), and the ChunTsung Foundation for undergraduate of China.

References

  1. Pardridge WM. Blood-brain barrier delivery. Drug Discov Today. 2007;12:54–61. doi: 10.1016/j.drudis.2006.10.013. [DOI] [PubMed] [Google Scholar]
  2. Pardridge WM. Drug targeting to the brain. Pharm Res. 2007;24:1733–44. doi: 10.1007/s11095-007-9324-2. [DOI] [PubMed] [Google Scholar]
  3. Begley DJ. Delivery of therapeutic agents to the central nervous system: the problems and the possibilities. Pharmacol Ther. 2004;104:29–45. doi: 10.1016/j.pharmthera.2004.08.001. [DOI] [PubMed] [Google Scholar]
  4. Liu X, Chen C. Strategies to optimize brain penetration in drug discovery. Curr Opin Drug Disc. 2005;8:505–12. [PubMed] [Google Scholar]
  5. Hu KL, Li JW, Shen YH, Lu W, Gao XL, Zhang QZ, et al. Lactoferrin-conjugated PEG-PLA nanoparticles with improved brain delivery: In vitro and in vivo evaluations. J Control Release. 2009;134:55–61. doi: 10.1016/j.jconrel.2008.10.016. [DOI] [PubMed] [Google Scholar]
  6. Garcia-Garcia E, Andrieux K, Gilb S, Couvreur P. Colloidal carriers and blood brain barrier (BBB) translocation: away to deliver drugs to the brain. Int J Pharm. 2005;298:274–92. doi: 10.1016/j.ijpharm.2005.03.031. [DOI] [PubMed] [Google Scholar]
  7. Boer AG, Gaillard PJ. Strategies to improve drug delivery across the blood brain barrier. Clin Pharmacokinet. 2007;46:553–76. doi: 10.2165/00003088-200746070-00002. [DOI] [PubMed] [Google Scholar]
  8. Calvo P, Gouritin B, Chacun H, Desmaële D, D'Angelo J, Noel JP. Long circulating PEGylated polycyanoacrylate nanoparticles as new drug carrier for brain delivery. Pharm Res. 2001;18:1157–66. doi: 10.1023/a:1010931127745. [DOI] [PubMed] [Google Scholar]
  9. Nuijens JH, Berkel PHC, Schanbacher FL. Structure and biological actions of lactoferrin. J Mammary Gland Biol. 1996;3:285–95. doi: 10.1007/BF02018081. [DOI] [PubMed] [Google Scholar]
  10. Qian ZM, Li HY, Sun HZ, Ho K. Targeted drug delivery via the transferrin receptor-mediated endocytosis pathway. Pharmacol Rev. 2002;54:561–87. doi: 10.1124/pr.54.4.561. [DOI] [PubMed] [Google Scholar]
  11. Buchanan J. A structural comparison of human serum transferrin and human lactoferrin. Biometals. 2007;20:249–62. doi: 10.1007/s10534-006-9062-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Fillebeen C, Descamps L, Dehouck MP, Fenart L. Receptor-mediated transcytosis of lactoferrin through the blood-brain barrier. J Biol Chem. 1999;274:7011–7. doi: 10.1074/jbc.274.11.7011. [DOI] [PubMed] [Google Scholar]
  13. Moos T, Morgan EH. Transferrin and transferrin receptor function in brain barrier systems. Cell Mol Neurobiol. 2000;20:77–95. doi: 10.1023/a:1006948027674. [DOI] [PubMed] [Google Scholar]
  14. Suzuki YA, Lopez V, Lönnerdal B. Mammalian lactoferrin receptors: structure and function. Cell Mol Life Sci. 2005;62:2560–75. doi: 10.1007/s00018-005-5371-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Huang RQ, Ke WL, Qu YH, Zhu JH, Pei YY, Jiang C. Characterization of lactoferrin receptor in brain endothelial capillary cells and mouse brain. J Biomed Sci. 2007;14:121–8. doi: 10.1007/s11373-006-9121-7. [DOI] [PubMed] [Google Scholar]
  16. Kawamata T, Tooyama I, Yamada T, Walker DG, McGeer PL. Lactotransferrin immunocytochemistry in Alzheimer and normal human brain. Am J Pathol. 1993;142:1574–85. [PMC free article] [PubMed] [Google Scholar]
  17. Faucheux BA, Nillesse N, Damier P, Spik G, Mouatt-Prigent A, Pierce A, et al. Expression of lactoferrin receptors is increased in the mesencephalon of patients with Parkinson disease. Proc Natl Acad Sci USA. 1995;92:9603–7. doi: 10.1073/pnas.92.21.9603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Grau AJ, Willig V, Fogel W, Werle E. Assessment of plasma lactoferrin in Parkinson's disease. Mov Disord. 2001;16:131–4. doi: 10.1002/1531-8257(200101)16:1<131::aid-mds1008>3.0.co;2-o. [DOI] [PubMed] [Google Scholar]
  19. Inoue T, Cavanaugh PG, Steck PA, Brunner N, Nicolson GL. Differences in transferrin response and numbers of transferrin receptors in rat and human mammary carcinoma lines of different metastatic potentials. J Cell Physiol. 1993;156:212–7. doi: 10.1002/jcp.1041560128. [DOI] [PubMed] [Google Scholar]
  20. Ji B, Maeda J, Higuchi M. Pharmacokinetics and brain uptake of lactoferrin in rats. Life Sci. 2006;78:851–5. doi: 10.1016/j.lfs.2005.05.085. [DOI] [PubMed] [Google Scholar]
  21. Discher BM, Won YY, Ege DS, Lee J, Bates FS, Discher DE, et al. Polymersomes: tough vesicles made from diblock copolymers. Science. 1999;284:1143–6. doi: 10.1126/science.284.5417.1143. [DOI] [PubMed] [Google Scholar]
  22. Discher DE, Eisenberg A. Polymer vesicles. Science. 2002;297:967–73. doi: 10.1126/science.1074972. [DOI] [PubMed] [Google Scholar]
  23. Pang ZQ, Lu W, Gao HL, Hu KL, Chen J, Zhang CL, et al. Preparation and brain delivery property of biodegradable polymersomes conjugated with OX26. J Control Release. 2008;128:120–7. doi: 10.1016/j.jconrel.2008.03.007. [DOI] [PubMed] [Google Scholar]
  24. Photos PJ, Bacakova L, Discher B, Bates FS, Discher DE. Polymer vesicles in vivo: correlations with PEG molecular weight. J Control Release. 2003;90:323–34. doi: 10.1016/s0168-3659(03)00201-3. [DOI] [PubMed] [Google Scholar]
  25. Huwyler J, Wu DF, Pardridge WM. Brain drug delivery of small molecules using immunoliposomes. Proc Natl Acad Sci USA. 1996;93:14164–9. doi: 10.1073/pnas.93.24.14164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Ellman GL. Tissue sulfhydryl groups. Arch Biochem Biophys. 1959;82:70–7. doi: 10.1016/0003-9861(59)90090-6. [DOI] [PubMed] [Google Scholar]
  27. Lu W, Zhang Y, Tan YZ, Hu KL, Jiang XG, Fu SK. Cationic albumin-conjugated pegylated nanoparticles as novel drug carrier for brain delivery. J Control Release. 2005;107:428–48. doi: 10.1016/j.jconrel.2005.03.027. [DOI] [PubMed] [Google Scholar]
  28. Bermudez H, Brannan AK, Hammer DA, Bates FS, Discher DE. Molecular weight dependence of polymersome membrane structure, elasticity, and stability. Macromol. 2002;35:8203–8. [Google Scholar]
  29. Davda J, Labhasetwar V. Characterization of nanoparticle uptake by endothelial cells. Int J Pharm. 2002;233:51–9. doi: 10.1016/s0378-5173(01)00923-1. [DOI] [PubMed] [Google Scholar]
  30. Panyam J, Sahoo SK, Prabha S, Bargar T, Labhasetwar V. Fluorescence and electron microscopy probes for cellular and tissue uptake of poly(D,L-lactide-coglycolide) nanoparticles. Int J Pharm. 2003;262:1–11. doi: 10.1016/s0378-5173(03)00295-3. [DOI] [PubMed] [Google Scholar]
  31. Hunt CA, MacGregor RD, Siegel RA. Engineering targeted in vivo drug delivery: I. The physiological and physicochemical principles governing opportunities and limitations. Pharmaceut Res. 1986;3:333–44. doi: 10.1023/A:1016332023234. [DOI] [PubMed] [Google Scholar]
  32. Pepper MS, Tacchini-Cottier F, Sabapathy TK, Montesano R, Wagner EF.A model for haemangiomas and other vascular tumoursIn: R Bicknell CE Lewis, N Ferrara (Eds), Tumour Angiogenesis, Endothelial Cells Transformed by Polyomavirus Middle T Oncogene. Oxford, UK, Oxford University Press, 1997. p309–31.
  33. Brown RC, Morris AP, O'Neil RG. Tight junction protein expression and barrier properties of immortalized mouse brain microvessel endothelial cells. Brain Res. 2007;30:17–30. doi: 10.1016/j.brainres.2006.10.083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Sawyer ST, Krantz SB. Transferrin receptor number, synthesis, and endocytosis during erythropoietin-induced maturation of Friend virusinfected erythroid cells. J Biol Chem. 1986;261:9187–95. [PubMed] [Google Scholar]
  35. Milane A, Tortolano L, Fernandez L, Bensimon G, Meininger V, Farinotti R. Brain and plasma riluzole pharmacokinetics: effect of minocycline combination. J Pharm Pharmaceut Sci. 2009;12:209–17. doi: 10.18433/j36c78. [DOI] [PubMed] [Google Scholar]
  36. Jones AR, Shusta EV. Blood-brain barrier transport of therapeutics via receptor-mediation. Pharmaceut Res. 2007;24:1759–71. doi: 10.1007/s11095-007-9379-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Schluesener HJ, Xianglin T. Selection of recombinant phages binding to pathological endothelial and tumor cells of rat glioblastoma by in vivo display. J Neurol Sci. 2004;224:77–82. doi: 10.1016/j.jns.2004.06.010. [DOI] [PubMed] [Google Scholar]
  38. Yang Y, Yang D, Schluesener HJ, Zhang Z. Advances in SELEX and application of aptamers in the central nervous system. Biomol Eng. 2007;24:583–92. doi: 10.1016/j.bioeng.2007.06.003. [DOI] [PubMed] [Google Scholar]

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