Abstract
The prognosis of glioblastoma (GBM) remains challenging, primarily due to the lack of a precise, effective imaging technique for comprehensively characterization. Addressing GBM diagnostic challenges, our study introduces an innovative dual-modal imaging that merges near-infrared (NIR) fluorescent imaging with magnetic resonance imaging (MRI). This method employs superparamagnetic iron oxide nanoparticles coated with NIR fluorescent dyes, specifically Cyanine 7, and targeted peptides. This synthetic probe facilitates MRI functionality through superparamagnetic iron oxide nanoparticles, provides NIR imaging capability via Cyanine 7 and enhances tumor targeting trough peptide interactions, offering a comprehensive diagnostic tool for GBM. Notably, the probe traverses the blood–brain barrier, targeting GBM in vivo via peptides, producing clear and discernible images in both modalities. Cytotoxicity and histopathology assessments confirm the probe’s favorable safety profile. These findings suggest that the dual-modal MR\NIR fluorescent imaging probe could revolutionize GBM prognosis and survival rates, which can also be extended to other tumors type.
Keywords: glioblastoma, magnetic resonance imaging, dual-modal probes, near-infrared fluorescent, targeting peptides
Graphical abstract

Introduction
Glioblastoma (GBM) is the prevailing primary malignant brain tumor, constituting nearly 16% of all primary brain tumors [1]. The standard treatment for GBM includes surgical resection that minimizes damage to healthy brain tissue, combined with chemotherapy and radiotherapy [2, 3]. However, the prognosis of GBM remains poor due to its high recurrence and metastasis rates. This is attributed to: (i) GBM’s diffuse growth making complete resection challenging [4]; (ii) the need to preserve critical brain areas limiting surgical options [5]; and (iii) the insensitivity of residual tumor tissues to radiotherapy and chemotherapy [6]. Consequently, accurate delineation of GBM’s growth range and tumor margins can enable more effective surgical resections, potentially improving prognosis.
Presently, the primary diagnostic modalities for GBM each have distinct pros and cons. Positron emission computed tomography (PET) and single photon emission computed tomography are sensitive to tumors, but have limited resolution and involve radioactivity, making precise tumor delineation challenging [7,8]. Computed tomography (CT) imaging is rapid and convenient but falls short in resolution and detecting small lesions [,9]. Optical imaging is useful for intraoperative navigation but is impeded by the skull’s opacity [10,]. Magnetic resonance imaging (MRI) has emerged as a cornerstone due to its remarkable advantages, which can provide excellent sub-millimeter resolution, lead to effective soft tissue contrast [11], such as effectively detecting cerebral edema, necrosis and heterogeneous ring masses in GBM [12,13]. Nonetheless, clinically used non-specific gadolinium (Gd)-based contrast agents often fail to penetrate the blood–brain barrier (BBB) and entering intracranial tumor tissue. Researches indicate that glioblastomas generally do not manifest significant BBB disruption in the initial stage [14–16]. This limitation hinders the effectiveness of these contrast agents in identifying more than 10% of GBM cases in enhanced MRI scans [17]. In addition, Gd-based MRI contrast agents pose risks of renal toxicity and potential Gd deposition in the brain [18]. Recently, clinicians are increasingly exploring multimodal imaging in neuroscience, which offers improved specificity and sensitivity by overcoming the limitations of individual modalities [19]. Therefore, developing stable and efficient tumor-targeted probes to delineate tumor boundaries pre- or intraoperatively holds significant importance.
However, single MRI diagnosis falls short for preoperative diagnosis and intraoperative navigation due to brain parenchyma distortion from factors like cerebrospinal fluid loss, edema and tumor resection. This makes preoperative MRI images unreliable for intraoperative use. In contrast, intraoperative optical imaging can provide real-time updates of the brain parenchyma, aiding in the accurate detection of residual tumor tissue. Therefore, our goal is to develop a probe that enhances GBM diagnosis sensitivity and integrates with optical imaging, facilitating both preoperative diagnosis and intraoperative navigation.
Superparamagnetic iron oxide nanoparticles (SPIONs), a class of paramagnetic MRI contrast agent, have received clinical approval for several decades [20–22]. SPIONs exhibit ideal GBM-specific probe properties, including high performance, biocompatibility, prolonged blood circulation time and efficient surface functionalization. BBB is a protective barrier formed by glial cells and capillary wall, separating circulating blood from brain tissue [23, 24]. Typically, the BBB utilizes specific transport systems to regulate the movement of essential nutrients and metabolites into brain tissue [25–27]. Therefore, utilizing receptor-mediated transcytosis across the BBB could be an effective strategy to transport the probes into the brain. The transferrin receptor (TfR), highly expressed at the BBB and in brain tumor tissues, is one of the most representative mediate receptors, enabling BBB penetration and tumor tissue targeting [28]. Indeed, rapid enzymatic degradation and competition with endogenous transferrin hinder the effective binding of anti-TfR antibodies or ligands to TfR, diminishing their targeting efficacy. To overcome this challenge and enhance stability, peptides are specifically designed to align with the tumor’s microenvironment and specific requirements [29–31].
In this study, we constructed a ligand-guided nanoprobe with high affinity and high stability based on the multi-modal imaging strategy. First, we employed SPIONs as the core nanoplatform, integrating them with the near-infrared (NIR) dye Cyanine 7 (Cy7) to construct an MR/NIR dual-modal nanoprobe. THR peptide (Ac-THRPPMWSPVWP-COOH, a TfR ligand), facilitated receptor-mediated endocytosis, aiding the nanoprobes’ BBB penetration and specific GBM imaging [32, 33]. We enhanced THR’s in vivo stability by using its reverse enantiomer DTHR (Ac-pwvpswmpprht-COOH), to resist enzymatic degradation in the bloodstream [34]. Systematic evaluation of the probes’ BBB transport and GBM targeting in intracranial mouse models yielded favorable results. The study highlights this nanoprobe’s potential in dual-mode MRI/NIR fluorescence imaging for GBM, enhancing preoperative diagnosis and intraoperative navigation.
Materials and methods
Materials
DSPE-PEG(2000)-amine and phosphate buffer solution (PBS) were purchased from Sigma-Aldrich. The luciferase-plasmid was supplied by the State Key Laboratory of Biotherapy (Chengdu, China). Cy7 was offered by Professor Bowen Ke from the Department of Anesthesiology at West China Hospital, Sichuan University. DOTA-DTHR was obtained from ChinaPeptides.
Synthesis and characterization of nanoprobes
We used the standard solid-phase synthesis method to synthesize THR (Ac- THRPPMWSPVWP-OH) and DTHR (Ac-pwvpswmpprht-OH), then purified them by high-performance liquid chromatography. SPIONs were synthesized utilizing the conventional hydrothermal technique. First, iron acetone, 1, 2-diol, oleic acid, oleamide and benzyl were mixed, and the air was expelled from the reaction system with an inert gas. Then, heated 2 h at 200°C, followed by heating 1 h at 300°C, the reactant turns black. Let cool to room temperature and add ethanol to precipitate. Then, centrifugation removes the liquid and precipitates dispersed in hexane. Eventually, the gained SPIONs solution was centrifuged and aggregates are extracted, and the SPIONs were coated with DSPE-PEG(2000)-amine. The successfully synthesized NH2-PEG-DSPE-SPIONs were preprocessed in the 0.02 M pH = 8 borate buffer through the ultrafiltration tube. Simultaneously, we dissolved 2 mg DTHR into 0.02 M MES buffer (pH = 5.5), then mixed with 1 mg N-(3-dimethylaminopropyl)-N-ethyl-carbodiimide hydrochloride (EDC, Sigma-Aldrich) and 0.5 mg N-hydroxysuccinimide (NHS, Sigma-Aldrich) to activate the carbonyl. The residual EDC and NHS were removed using 2 kDa ultrafiltration tubes via centrifugation at 3000 rpm. Subsequently, the activated peptides were mixed with the NH2-PEG-DSPE/SPIONs solution on a shaker for 2 h. The DTHR-PEG-DSPE-SPIONs were isolated using centrifugal ultrafiltration, and then resuspended in PBS buffer. Finally, 50 µL 1 mg/mL Cy7-NHS was added to the solution, stirred overnight at 4°C in the dark and then ultrafiltered to remove unreacted dye. The resulting DTHR-Cy7-PEG-DSPE-SPIONs probes were immediately stored at 4°C.
An ultraviolet spectrophotometer (UV3600, SHIMADZU) was used to quantify the grafting ratio of the DTHR peptide. A microplate reader (BioTek, Synergy Mx) determined the binding efficiency of NIR dyes to SPIONs. Transmission electron microscopy (TEM), selected area electron diffraction and dynamic light scattering (DLS) were used to characterize the morphology, electrical properties and size distribution of the probes. An MPMS7 Quantum Design SQUID magnetometer with an applied field ranging from −3.0 to 3.0 T at 300 K was used to measure the magnetic properties (Quantum Design, San Diego, USA). MRI were obtained using a 3.0 T MR (Siemens TrioTim) at room temperature. The T2 relaxation times were calculated using the formula 1/T2=1/T20+r2 CFe, where 1/T20 represents the relaxation rate of water without a probe, and CFe indicates the concentration of Fe.
In order to detect the biological metabolism of the probe, we synthesized 68Ga-DOTA-DTHR. Chelation of 68Ga with sodium acetate was performed after adjusting the pH to four. Then, the reaction mixture was heated at 95°C for 10 min, and its completion was verified using radio-liquid chromatography. Finally, 68Ga-DOTA-DTHR underwent solid-phase extraction before being utilized in PET imaging.
Assay of cytotoxicity
HUVEC, bEnd.3 cells and U87-MG cells were obtained from the Chinese Academy of Medical Sciences. High-glucose DMEM medium (Hyclone), supplemented with 10% fetal bovine serum (Prime) and 1% penicillin/streptomycin (Hyclone), was used to maintain all cells under the 5% CO2 at 37°C. HUVEC and U87-MG cells were seeded at a density of 1 × 104 cells/well in 96-well plates, then incubated overnight at 37°C in a 5% CO2 environment. Finally, the cells were treated with media containing probes at varying Fe concentrations (0, 3.125, 6.25, 12.5, 25 and 50 µg/mL). Following cultivation 24 h, cells were exposed to a mixture of 10 µL CCK-8 with 90 µL DMEM for 2 h, followed by absorbance measurement at 450 nm.
Toxicity test in vivo
For in vivo toxicity assessment, healthy BALB/c male mice (4–6 weeks) received a single-dose of 10 mg Fe3O4/kg (targeted/untargeted nanoprobes) or an equivalent volume of saline via the tail vein. Three mice from each group were euthanized at predetermined time points (1, 3 and 7 days) post-injection. Subsequently, the spleen, heart, kidney, liver and lung tissues were then excised, fixed, embedded, sectioned and stained with H&E. Histological changes were observed by a light microscope.
Stability essay of peptides
To assess the in vivo stability of the peptide, PET/CT imaging was performed using the IRIS small animal PET/CT system (Inviscan SAS, Strasbourg, France). Each mouse was intravenously injected with 3.7 MBq of 68Ga-DOTA-DTHR and imaged an hour post-injection. PET data were acquired over 10 min and reconstructed using a 3D ordered-subset expectation–maximization algorithm with a Monte Carlo model. CT scans were conducted at sets of 1 mA, 50 kV and a duration of 140 s.
Cellular internalization
Cell labeling efficiency and intracellular distribution of DTHR-Cy7-PEG-DSPE-SPIONs were respectively assessed using flow cytometry (BD FACSCelesta™) and NIR fluorescence imaging microscopy (Carl Zeiss, Axio Observer A1). U87-MG cells were inoculated in a 12-well plate at a density of 1 × 105 cells per well. The adherent cells were treated with 50 µg Fe3O4/mL DTHR-Cy7-PEG-DSPE-SPIONs for different incubation times (1, 2 and 4 h). The control group consisted of cells without probe labeling. After incubation, cells were washed and resuspended in 300 µL of PBS, followed by flow cytometry analysis using the APC-A750 signal channel. And the data were analyzed with Flowjo.
To examine the stability of DTHR peptide and the effect of the serum on receptor–ligand interactions, targeted probes were pre-incubated with human serum for 3 h at 37°C to obtain pretreated DTHR-Cy7-PEG-DSPE-SPIONs. bEnd.3 and U87-MG cells were seeded in a 24-well plate at 2.5 × 104 cells per well. Post-adhesion, cells were treated with DTHR-Cy7-PEG-DSPE-SPIONs and pretreated DTHR-Cy7-PEG-DSPE-SPIONs in DMEM (50 µg/mL Fe3O4) for additional 2 or 4 h. Cells were washed, fixed with 4% paraformaldehyde (PFA) in PBS, then stained by 4',6-diamidino-2-phenylindole (DAPI).
Construction of BBB model in vitro
A primary BBB model using bEnd.3 cells in vitro was established to evaluate the penetration ability of DTHR-Cy7-PEG-DSPE-SPIONs. The inner side of a polycarbonate transwell (Millipore, USA) with a mean pore size of 3 µm and a surface area of 0.33 cm2 was coated with collagen. After coating, the transwell was left to air dry for 30 min. Then, bEnd.3 cells (5 × 104 cells per well) were seeded into the upper chamber of a 24-well transwell plate. After 48 h, 1 × 105 U87-MG cells were seeded in the lower chamber of each well. Both cells were co-cultured for 1 week.
BBB integrity was assessed using a water-leaking test and immunofluorescence to determine its permeability. Two hundred microliter and 900 µL of medium were added to the upper and lower chambers, respectively. Fluid levels in each chamber were recorded at the beginning and after 4 h period. For the in vitro BBB model preparation, bEnd.3 cells were fixed in 4% PFA for 30 min, then washed with PBS twice. Subsequently, bEnd.3 cells were incubated in PBS containing 3% BSA for 1 h, followed by incubation with a rabbit polyclonal antibody against ZO-1 and FITC labeled anti-rabbit IgG (Invitrogen). Finally, the fixed cells were stained with DAPI for 10 min and observed under a confocal laser scanning microscope (Nikon, A1RMP+).
The endothelial permeability coefficient of sodium fluorescein (NaFl) was used to evaluate the function of BBB model in vitro, as previously described [32]. In brief, 200 µL NaFl solution (10 µg/mL) and 900 µL PBS were added to the upper and lower chambers of the BBB models, respectively. And then cultured in a 5% CO2 atmosphere at 37°C. Following incubation periods of 30, 60 and 90 min, 100 µL samples from the lower chambers were transferred to a new 96-well plate. Meanwhile, an equivalent volume of PBS was added to the lower chamber to maintain consistent volume levels. Finally, the relative fluorescence intensity of the samples was measured using a multi-detector monochromator microplate reader (485/535 nm), with NaFl concentration deduced from a standard curve. The apparent permeability coefficient (Papp) was calculated using the formula:
In this context, (dQ/dt) represents the transfer rate or flux of NaFl across the membrane. Here, ‘A’ denotes the surface area of the membrane and ‘C0’ refers to the initial concentration of NaFl within the chamber. This parameterization is crucial for understanding the diffusion characteristics relevant to MRI contrast agent.
BBB penetrability of the probes
Two hundred microliters of either Cy7-PEG-DSPE-SPIONs solution or DTHR-Cy7-PEG-DSPE-SPIONs solution (10.0 µg/mL Fe3O4 concentration) was introduced into the upper chamber of BBB model. Meanwhile, 900 µL PBS was added to the lower chamber of the transwell container. After a 60-min incubation, 100 µL of this solution was extracted to analyze the BBB permeability of nanoprobes through quantification of fluorescence intensity.
Construction of GBM model in situ
Male BALB/c nude mice aged 5–7 weeks were purchased from the Animal Research Institute, Sichuan Academy of Medical Sciences, Chengdu, China, and housed in a controlled, specific pathogen-free environment. Luciferase plasmids were introduced into U87-MG cells through lentiviral vector. The successfully transfected cells, named Luc-U87-MG, were identified by their luciferase activity using an in vivo imaging system (IVIS) spectrum instrument. Subsequently, 5 × 104 Luc-U87-MG cells were surgically implanted into the brain of each mouse. Basically, we peeled the skin off the anesthetized mouse, exposed the skull and drilled a small hole into the skull on the right side of the brain. After fixing the insertion depth of the needle, 5 µL of single cell suspension was injected into the brain tissue carefully, and the needle was slowly pulled out after 5 min. Finally, the skull is sealed with bone wax and the skin is sutured. Post-implantation, tumor growth was systematically monitored over 3 weeks using an IVIS. All animal experiments were conducted following ethical approval from the Animal Care and Use Committee of Sichuan University (2018116A).
In vivo MRI studies
MRI scans were performed on a clinical 3.0 T magnetic resonance scanner, employing the following imaging parameters for T2-weighted imaging (T2WI):
Tumor-bearing mice were divided into two groups (n = 4 per group) randomly. T2WI images of GBM tumor-bearing mice were acquired at different time points (0, 2, 4 and 24 h) post-intravenous administration of Cy7-PEG-DSPE-SPIONs or DTHR-Cy7-PEG-DSPE-SPIONs probes each at a dose of 10 mg Fe3O4 per kg.
In vivo NIR fluorescence imaging of GBM
After MRI, both groups of mice received an intraperitoneal injection of luciferin sylvite at a dosage of 150 mg/kg. Twenty-four hours later, mice were sacrificed under anesthesia via intracardiac perfusion, followed by fixation with 4% formaldehyde. Then, the brain and major organs were extracted to demonstrate efficiency of GBM targeting and the distribution of probes in the organs was observed by an IVIS® Spectrum with excitation at 720 nm and emission at 820 nm. After NIR fluorescence imaging, the isolated mouse brains underwent histological analysis with H&E and Prussian blue staining.
Probes distribution of mice
The content of iron in the major organs of tumor-bearing mice was determined by coupled plasma mass spectrometry (ICP-MS) (VG PQExCell, TJA, USA) 24 h post-injection of the nanoprobes. BALB/c mice were divided into three groups, the experimental groups receiving 10 mg Fe3O4/kg of either Cy7-PEG-DSPE-SPIONs or DTHR-Cy7-PEG-DSPE-SPIONs, and a control group receiving a 0.9% sodium chloride solution. All animals were euthanized 24 h post-injection, and their major organs were excised, weighed and fully digested using 1 mL hydrogen peroxide and 2 mL nitric acid.
Statistical analysis
All data analyses were deemed statistical significance at P < 0.05. The data are expressed as means ± standard deviation. The data were analyzed by ANOVA and Student’s two-tailed t-test.
Results and discussion
Synthesis and characterization of DTHR-Cy7-PEG-DSPE-SPIONs
Nanoprobes were synthesized following an improved protocol. Monodispersed SPIONs nanoparticles were synthesized using the organic thermal decomposition method, subsequently encapsulated with amphiphilic DSPE-PEG. Due to its unique hydrophilic–hydrophobic segments and self-assembly properties, DSPE-PEG conferred colloidal stability to the SPIONs in circulation and facilitate their monodispersity in aqueous solutions, thus achieving better stability and biocompatibility. Subsequently, DTHR and Cy7 dyes were then conjugated to the PEG-coated SPIONs, forming multifunctional targeting nanoprobes.
UV–Vis spectroscopy revealed a noticeable absorption decrease in the supernatant at about 280 nm, comparing pre- and post-reaction samples. This decrease indicated a reduced amino acids presence post-coupling, implying successful DTHR peptide attachment to NH2-PEG-DSPE-SPIONs (see Supplementary Figure S1). Meanwhile, the conjugation efficiency, calculated as 77.12%, was derived from fluorescence intensity of post-reaction to original supernatant. The excitation and emission peak of DTHR-Cy7-PEG-DSPE-SPIONs at 720 or 820 nm, respectively, confirm successful conjugation of Cy7 by using a multifunctional fluorescence microplate reader. The amount of Cy7 bound to the probes reached 11.34 µg (see Supplementary Figure S2). The size and morphology of the multifunctional nanoprobe were characterized by DLS and TEM. DLS measurements showed that both Cy7-PEG-DSPE-SPIONs and DTHR-Cy7-PEG-DSPE-SPIONs had a similar diameter of ∼20 ± 7 nm (Figure 1A). TEM imaging revealed that the Cy7-PEG-DSPE-SPIONs and DTHR-Cy7-PEG-DSPE-SPIONs possess an inorganic SPIONs core with a uniform size distribution of 10 ± 4 nm (Figure 1B and C). Notably, size measured by DLS were smaller than those determined by TEM owing to the PEGylation shell layer. Furthermore, these nanoparticles exhibited a slight negative charge, which can significantly prolong blood circulation, while the small size effect was beneficial to the BBB penetration and tumor infiltration of the SPIONs nanoparticles. Hence, DTHR-Cy7-PEG-DSPE-SPIONs have great potential in GBM targeted diagnosis in term of the physicochemical properties.
Figure 1.
(A) DLS measurements of Cy7-PEG-DSPE-SPIONs and DTHR-Cy7-PEG-DSPE-SPIONs; (B) TEM images of Cy7-PEG-DSPE-SPIONs; and (C) DTHR-Cy7-PEG-DSPE-SPIONs.
Magnetic properties and T2-weighted magnetic resonance relaxometry
Hysteresis loop measurements of the nanoprobes were obtained in an external magnetic field from −3 to 3 T at 300 K (Figure 2A). Results showed that nanoprobes achieved saturation magnetization at a lower magnetic field range. Specifically, Cy7-PEG-DSPE-SPIONs exhibited a saturation magnetization of 57 emu/g Fe, and DTHR-Cy7-PEG-DSPE-SPIONs demonstrated 62 emu/g Fe. Moreover, magnetization values returned to zero when the magnetic field was removed. These results demonstrated that the nanoprobes exhibited superparamagnetism at room temperature, and their sensitivity to an external magnetic field.
Figure 2.
(A) The hysteresis loop of no targeting and DTHR targeting measured at 300 K; (B) r2 values of Cy7-PEG-DSPE-SPIONs and DTHR-Cy7-PEG-DSPE-SPIONs probes at 3.0 T magnetic field; and (C) T2-weighted MR images of Cy7-PEG-DSPE-SPIONs and DTHR-Cy7-PEG-DSPE-SPIONs probes with different concentrations at 3.0 T magnetic field.
To evaluate the effectiveness of multifunctional SPIONs as MR contrast agents, T1 and T2 relaxations of the probes were measured by a clinical 3.0 T MRI scanner. The linear regression is as follows in Figure 2B, and the r2 values of Cy7-PEG-DSPE-SPIONs and DTHR-Cy7-PEG-DSPE-SPIONs were separately 87.2 and 121.4 S−1 mM−1. As presented in Figure 2C, the T2 signal of multifunctional SPIONs decreases dramatically with the increasing Fe concentration. The reason for this difference may be resulted from the difference in their particle size. Despite having similar r1 values, 1.8 S−1 mM−1 for Cy7-PEG-DSPE-SPIONs and 4.1 S−1 mM−1 for DTHR-Cy7-PEG-DSPE-SPIONs. And the r2–r1 ratios for each type of probes were up to 30 under 3.0 T. These results suggest that their suitability for effective T2WI.
Cytotoxicity in vitro and toxicity in vivo
The proliferation rates of HUVEC and U87-MG cells can serve as benchmark for assessing cytotoxicity. CCK-8 assays showed that both cell types, when incubated with Cy7-PEG-DSPE-SPIONs, THR-Cy7-PEG-DSPE-SPIONs and DTHR-Cy7-PEG-DSPE-SPIONs for 24 h whose Fe3O4 concentrations ranging from 0 to 50 µg/mL, exhibited no significant change in proliferation compared to the control group (Figure 3). These preliminary results suggest that the nanoprobes have good biocompatibility.
Figure 3.
The cytotoxicity of (A) Cy7-PEG-DSPE-SPIONs, (B) THR-Cy7-PEG-DSPE-SPIONs and (C) DTHR-Cy7-PEG-DSPE-SPIONs on the HUVEC and U87-MG cells.
Long-term toxicity of SPIONs probes was confirmed by histological examinations in vivo. Healthy BALB/c mice were injected with either Cy7-PEG-DSPE-SPIONs or DTHR-Cy7-PEG-DSPE-SPIONs nanoprobes. At 1, 3 and 7 days post-injection, mice were sacrificed and major organs (spleen, heart, kidney, liver and lung) were harvested for H&E staining. Results indicated no significant pathological changes in all organs of the nanoprobe-injected groups compared to the control group.
Cellular internalization
Generally, nanoparticles tend to adsorb serum molecules onto their surface forming a biological corona upon exposure to serum. This phenomenon can obscure the ligands on the nanoparticle’s surface, hindering effective recognition of target receptors and resulting in decreased cellular uptake.
We investigated the cellular uptake of serum-pretreated DTHR-Cy7-PEG-DSPE-SPIONs. The binding capability of DTHR-modified SPIONs to TfR-expressing cells was analyzed by NIR fluorescence imaging microscopy and FCM. Results exhibited that both untreated and serum-pretreated DTHR-Cy7-PEG-DSPE-SPIONs were effectively internalized by U87-MG and bEnd.3 cells. Moreover, the uptake of DTHR-Cy7-PEG-DSPE-SPIONs probes by U87-MG cell were positively correlated with the co-incubation times (Figure 4A and C). The fluorescent intensity in U87-MG cells incubated with untreated nanoprobes was slightly higher than in cells incubated with serum-pretreated nanoprobes (Figure 5), consistent with NIR fluorescence imaging results (Figure 4B and D). These results demonstrated that serum protein adsorption on nanoparticles minimally impacts ligand–receptor interactions, enhancing the potential for intravenously injected nanoparticles to achieve significant tumor targeting.
Figure 4.
(A) Typical flow cytometry profiles of the cellular uptake of DTHR-Cy7-PEG-DSPE-SPIONs probes by U87-MG cells; (B) flow cytometry profiles indicating cellular uptake of the untreated/pretreated DTHR-Cy7-PEG-DSPE-SPIONs probes in U87-MG cells; (C) quantitative results of the time-dependent internalization of DTHR-Cy7-PEG-DSPE-SPIONs probes in U87-MG cells; and (D) quantitative results of cellular uptake of pre-incubated DTHR-Cy7-PEG-DSPE-SPIONs probes in U87-MG cells. The presented data represent the means obtained from a minimum of three independent experiments, n = 3, ± SEM., P < 0.05.
Figure 5.
NIR fluorescence imaging demonstrates that the cellular uptake of DTHR-Cy7-PEG-DSPE-SPIONs probes (untreated DTHR) is slightly higher than that of the pretreated DTHR-Cy7-PEG-DSPE-SPIONs probes (treated DTHR) by U87-MG cells; scale bars: 25 µm.
Cellular affinity and biodistribution of peptides in vivo
Although DTHR exhibited lower cellular uptake compared to THR, the result of comparative head-to-head microPET/CT imaging suggested that DTHR is more suitable for in situ applications (see Supplementary Figure S3). Following the separate injection of 68Ga-DOTA-DTHR into U87-MG tumor-bearing mice and subsequent PET/CT imaging an hour post-injection, the renal bladder was identified as the primary metabolic pathway for the peptide. The incorporation of unnatural optical activity into the DTHR peptide significantly enhanced the stability and biodistribution of tracers make it possible to acquire clearer imaging of brain tumor.
Construction of BBB model in vitro
To assess the functionality of BBB model in vitro, a series of experiments were conducted to test its permeability. First, water-leaking test conducted 7 days post-inoculation confirmed no change in liquid levels between the upper and lower chambers of the transwell, indicating a tight junction formation among endothelial cells in the BBB model. ZO-1, a tight junction protein on the endothelial cell membrane, is crucial for maintaining BBB integrity. Continuous inter-endothelial junctional staining for ZO-1 confirmed the integrity of the BBB model in vitro (Figure 6A). Furthermore, NaFl was used to measure the permeability [35]. And this BBB model’s Papp [(11.24 ± 0.73)×10−6 cm/s] was significantly lower than that of the control group (67.80 × 10 −6 cm/s). In summary, this BBB model effectively simulates in vitro conditions for studying nanoprobes’ permeability across the BBB.
Figure 6.
(A) Immunofluorescent labeling of the interstitial protein ZO-1 was performed in endothelial cells, scale bars: 50 µm; (B) the penetrability of Cy7-PEG-DSPE-SPIONs and DTHR-Cy7-PEG-DSPE-SPIONs probes in the BBB model in vitro; the presented data represent as mean ± SEM (n = 3) at least three independent experiments.
Probes’ BBB penetrability in vitro
Fluorescence intensity of the probe solution that traversed the upper transwell chamber reflects the penetrability of each type of probe, and the results from the Cy7-PEG-DSPE-SPIONs and DTHR-Cy7-PEG-DSPE-SPIONs probe solutions were 158 ± 47.53 and 549 ± 97.42, respectively. The significant difference proved the superior BBB penetrability of DTHR-Cy7-PEG-DSPE-SPIONs probes in vitro (Figure 6B).
MRI of GBM in vivo
The tumor-bearing nude mice were performed T2WI scan before and after contrast agent injection, one group was Cy7-PEG-DSPE-SPIONs, another was DTHR-Cy7-PEG-DSPE-SPIONs group. As shown in Figure 7A, T2WI scans of the brain revealed no significant differences in signal intensity between the tumor and its surrounding normal tissue before nanoprobe administration, whereas enhanced tissue contrast was observed post-administration, due to probe accumulation in the tumor. Figure 7B effectively depicts signal values over time using a clear curve representation. In MRI enhancement, the DTHR-Cy7-PEG-DSPE-SPIONs group demonstrated superior effectiveness compared to the Cy7-PEG-DSPE-SPIONs group. In detail, the DTHR-Cy7-PEG-DSPE-SPIONs group showed higher Fe concentrations at tumor sites with more discernible and longer lasting contrast (over 24 h), while the Cy7-PEG-DSPE-SPIONs group displayed lower Fe concentrations at tumor sites with poorer contrast throughout the observation period. Evidently, DTHR-Cy7-PEG-DSPE-SPIONs can locate GBM more accurately and retain longer imaging capabilities owing to the superior properties of DTHR-mediating.
Figure 7.
The T2-weighted MR imaging was performed on brains bearing tumors at various time points prior to and subsequent to administration of (A) Cy7-PEG-DSPE-SPIONs and DTHR-Cy7-PEG-DSPE-SPIONs probes. (B) The average intensity of two probes in tumor-bearing brains.
NIR fluorescence imaging of GBM in vitro
The mice were sacrificed 24 h post-intravenous injection of nanoprobes, and their brains were harvested to assess tumor targeting efficiency via optical imaging. The signal intensity of the tumor was measured using bioluminescence imaging and the signal intensity of the nanoprobes at the tumor site was measured using NIR fluorescence imaging. Enhanced heterogeneous fluorescent signals indicated that accumulation of both untargeted and targeted nanoprobes in the tumor’s center and margins, suggesting that DTHR-Cy7-PEG-DSPE-SPIONs probes accurately described the tumor margins (Figure 8A). Meanwhile, we evaluated quantitatively the targeting efficiency of nanoprobes at the GBM sites by the average fluorescence intensity (total fluorescence intensity divided by the number of bioluminescence photographs). As expected, DTHR-Cy7-PEG-DSPE-SPIONs showed significantly higher aggregation at GBM sites than Cy7-PEG-DSPE-SPIONs (P < 0.05) (Figure 8B).
Figure 8.
In vitro NIR fluorescent images of GBM tumor-bearing brains at 24 h after the intravenous injection of the nanoprobes. (A) The upper images are bioluminescence images showing tumor size, and the lower images are NIR fluorescent images showing probes accumulation at the tumor; and (B) the average intensity of two probes in tumor-bearing brains.
Distribution of probes in the tumor-bearing mice
The slices of fixed brain tissues were stained with Prussian blue, revealing patterns similar to NIR fluorescence imaging, most probes aggregated around tumor sites, with DTHR-modified probes showing notable higher aggregation (Figure 9). Fluorescence analysis indicated predominant nanoprobe aggregation in the spleen and liver, likely due to the non-specific uptake by the reticuloendothelial system (Figure 10A and B). In additional, rapid renal elimination of some nanoprobes was observed as expected. Fe biodistribution in tumor-bearing mice was also measured by ICP-MS 1 day post-injection. The results indicated primary accumulation of nanoprobes in the spleen and liver mainly though intravenous administration, which was consistent with the fluorescence analysis data (Figure 10C). To evaluate the toxicity of the probes in vivo, tail vein injection of probes (THR-Cy7-PEG- DSPE-SPIONs, DTHR-Cy7-PEG-DSPE-SPIONs) was administered, and H&E stained sections of major organs (heart, liver, spleen, lung and kidney) from different groups were analyzed on 1, 3 and 7 days post-injection. These analyses revealed no obvious pathological features in the experimental groups, which received different probes, compared to the control group. This indicates that the synthesized probes exhibit minimal prolonged systemic toxicity and possess favorable in vivo safety profiles (Figure 11).
Figure 9.
The Prussian blue staining of brain slices showed that two types of SPIONs probes aggregate at the tumor edges 24 h after the intravenous injection in tumor-bearing nude mice, the area circled by the black dotted line is tumor tissue (upper scale bars: 50 µm; lower scale bar: 25 µm).
Figure 10.
(A) Exemplary ex vivo imaging results of Cy7-PEG-DSPE-SPIONs and DTHR-Cy7-PEG-DSPE-SPIONs probes on tumors and major organs harvested from mice 24 h post-intravenous injection are illustrated; (B) the average signals of the different probes were measured by an IVIS imaging system; and (C) the iron content analysis of different organs from tumor-bearing mice injected intravenously with saline, Cy7-PEG-DSPE-SPIONs probes or DTHR-Cy7-PEG-DSPE-SPIONs probes after 24 h.
Figure 11.
Histological changes of major organs at 1, 3 and 7 days after a single-dose intravenous injection of THR-Cy7-PEG-DSPE-SPIONs and DTHR-Cy7-PEG-DSPE-SPIONs probes (scale bars: 50 µm).
Conclusion
The growing application of multi-modality imaging in neuroscience has gradually attracted the attention of clinicians because its capability to overcome the limitations of a singular imaging modality, thus enhancing the sensitivity and specificity of imaging. Overall, DTHR-Cy7-PEG-DSPE-SPIONs nanoprobes show superior efficiency in both MRI and NIR fluorescence imaging. This efficiency is attributed to DTHR’s retention of THR’s primary functions and enhanced stability against proteolytic degradation in circulation, facilitating BBB crossing and GBM targeting. Meanwhile, these nanoprobes exhibit extended circulation time and demonstrate minimal biotoxicity. All the experimental results show that our peptide modification and the structure of the overall imaging agent have fully exerted their respective functions. However, DTHR-Cy7-PEG-DSPES-SPIONs as T2WI contrast agents have some limitations in MRI, such as non-specificity and limited contrast enhancement in certain lesions. However, their design for specific uptake by glioblastoma tissues enhances the specificity of T2WI contrast agent. As a negative contrast agent, it may reduce tissue contrast differentiation, yet it improves visualization of tissue anatomy in T2WI, which facilitates the diagnosis of diseases. On the other hand, DTHR-Cy7-PEG-DSPES-SPIONs effectively delineate tumor tissue boundaries as a NIR fluorescence imaging probe, their inability to penetrate the skull remains a limitation. Consequently, these novel nanoprobes show the potential to stand out in targeted GBM contrast applications, potentially making a significant contribution to the preoperative diagnosis and intraoperative localization of GBM.
Supplementary Material
Contributor Information
Jiaqi Hao, Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan 610041, China.
Huawei Cai, Department of Nuclear Medicine & Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Lei Gu, Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Yiqi Ma, Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Yan Li, Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Beibei Liu, Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Hongyan Zhu, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Fanxin Zeng, Department of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan 635000, China.
Min Wu, Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan 610041, China.
Supplementary data
Supplementary data are available at Regenerative Biomaterials online.
Funding
This work was supported by the Scientific and Technological Achievements Transformation Fund of West China Hospital, Sichuan University (grant CGZH21002); the Innovative Research Project of Sichuan University (grant 2022SCUH00132); and the Sichuan Foundation for Distinguished Young Scholars (grant 2022JDJQ0049).
Conflicts of interest statement. None declared.
References
- 1. Ostrom QT, Gittleman H, Farah P, Ondracek A, Chen YW, Wolinsky Y, Stroup NE, Kruchko C, Barnholtz-Sloan JS.. CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2006-2010. Neuro Oncol 2013;15:1–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Omuro A, DeAngelis LM.. Glioblastoma and other malignant gliomas a clinical review. JAMA 2013;310:1842–50. [DOI] [PubMed] [Google Scholar]
- 3. Alexander BM, Cloughesy TF.. Adult glioblastoma. J Clin Oncol 2017;35:2402–9. [DOI] [PubMed] [Google Scholar]
- 4. Brown TJ, Brennan MC, Li M, Church EW, Brandmeir NJ, Rakszawski KL, Patel AS, Rizk EB, Suki D, Sawaya R, Glantz M.. Association of the extent of resection with survival in glioblastoma a systematic review and meta-analysis. JAMA Oncol 2016;2:1460–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Verburg N, Hamer PCD.. State-of-the-art imaging for glioma surgery. Neurosurg Rev 2021;44:1331–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Xu JH, Wu PJ, Lai TH, Sharma P, Canella A, Welker AM, Beattie CE, Elder JB, Easley M, Lonser R, Jacob NK, Pietrzak M, Timmers CM, Lang F, Sampath D, Puduvalli VK.. Disruption of DNA repair and survival pathways through heat shock protein inhibition by onalespib to sensitize malignant gliomas to chemoradiation therapy. Clin Cancer Res 2022;28:1979–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Vassileva V, Braga M, Barnes C, Przystal J, Ashek A, Allott L, Brickute D, Abrahams J, Suwan K, Carcaboso AM, Hajitou A, Aboagye EO. Effective detection and monitoring of glioma using 18F FPIA PET imaging. Biomedicines 2021;9:811. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Short S, Hutton B, Ottobrini L, De Francesco I, Fiorini C.. Integrated SPECT-MRI for enhanced stratification and early treatment response assessment in glioma. Neuro Oncol 2018;20:i2. [Google Scholar]
- 9.Lv YC, Zhou J, Lv XF, Tian L, He HQ, Liu ZG, Wu Y, Han LJ, Sun ML, Yang YD, Guo CC, Li C, Zhang R, Xie CM, Chen YS, Chen ZP. Dual-energy spectral CT quantitative parameters for the differentiation of glioma recurrence from treatment-related changes: a preliminary study. BMC Med Imaging 2020;20:5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hollon T, Jiang C, Chowdury A, Nasir-Moin M, Kondepudi A, Aabedi A, Adapa A, Al-Holou W, Heth J, Sagher O, Lowenstein P, Castro M, Wadiura LI, Widhalm G, Neuschmelting V, Reinecke D, von Spreckelsen N, Berger MS, Hervey-Jumper SL, Golfinos JG, Snuderl M, Camelo-Piragua S, Freudiger C, Lee HL, Orringer DA. Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging. Nat Med 2023;29:828–832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Zhang GD, Zhang R, Melancon MP, Wong K, You J, Huang Q, Bankson J, Liang D, Li C. The degradation and clearance of Poly(N-hydroxypropyl-L-glutamine)-DTPA-Gd as a blood pool MRI contrast agent. Biomaterials 2012;33:5376–5383. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Xie RX, Wu ZJ, Zeng FX, Cai HW, Wang D, Gu L, Zhu HY, Lui S, Guo G, Song B, Li JX, Wu M, Gong QY. Retro-enantio isomer of angiopep-2 assists nanoprobes across the blood-brain barrier for targeted magnetic resonance/fluorescence imaging of glioblastoma. Signal Transduct Tar 2021;6:309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Wu ZJ, Dai LX, Tang K, Ma YQ, Song B, Zhang YZ, Li JX, Lui S, Gong QY, Wu M.. Advances in magnetic resonance imaging contrast agents for glioblastoma-targeting theranostics. Regen Biomater 2021;8:rbab062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Li B, Xiao H, Cai MY, Li XX, Xu XL, Wang SY, Huang S, Wang Y, Cheng D, Pang PF, Shan H, Shuai XT.. Molecular probe crossing blood–brain barrier for bimodal imaging–guided photothermal/photodynamic therapies of intracranial glioblastoma. Adv Funct Mater 2020;30:1909117. [Google Scholar]
- 15. Cai Q, Li XQ, Xiong HJ, Fan HW, Gao XF, Vemireddy V, Margolis R, Li JJ, Ge XQ, Giannotta M, Hoyt K, Maher E, Bachoo R, Qin ZP.. Optical blood-brain-tumor barrier modulation expands therapeutic options for glioblastoma treatment. Nat Commun 2023;14:4934. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Habimana-Griffin L, Ye DZ, Carpenter J, Prior J, Sudlow G, Marsala L, Mixdorf M, Rubin J, Chen H, Achilefu S.. Intracranial glioma xenograft model rapidly reestablishes blood-brain barrier integrity for longitudinal imaging of tumor progression using fluorescence molecular tomography and contrast agents. J Biomed Opt 2020;25:1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Ni DL, Zhang JW, Bu WB, Xing HY, Han F, Xiao QF, Yao ZW, Chen F, He QJ, Liu JN, Zhang SJ, Fan WP, Zhou LP, Peng WJ, Shi JL.. Dual-targeting upconversion nanoprobes across the blood-brain barrier for magnetic resonance/fluorescence imaging of intracranial glioblastoma. ACS Nano 2014;8:1231–42. [DOI] [PubMed] [Google Scholar]
- 18. Li H, Luo D, Yuan CN, Wang XN, Wang J, Basilion JP, Meade TJ.. Magnetic resonance imaging of PSMA-positive prostate cancer by a targeted and activatable Gd(III) MR contrast agent. J Am Chem Soc 2021;143:17097–108. [DOI] [PubMed] [Google Scholar]
- 19. Du L, Chen W, Zhong J, Yan S, Yang C, Pu Y, Zhu J, Chen T, Zhang X, Wu C.. Dopamine multivalent-modified polyaspartic acid for MRI-guided near-infrared photothermal therapy. Regen Biomater 2023;10:rbad022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Jiang L, Zheng R, Zeng N, Wu C, Su H.. In situ self-assembly of amphiphilic dextran micelles and superparamagnetic iron oxide nanoparticle-loading as magnetic resonance imaging contrast agents. Regen Biomater 2023;10:rbac096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Wu J, Wu C, Cai Z, Gu H, Liu L, Xia C, Lui S, Gong Q, Song B, Ai H.. Ultra-small superparamagnetic iron oxide nanoparticles for intra-articular targeting of cartilage in early osteoarthritis. Regen Biomater 2023;10:rbad052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Yang L, Fu S, Liu L, Cai Z, Xia C, Song B, Gong Q, Lu Z, Ai H.. Tetraphenylethylene-conjugated polycation covered iron oxide nanoparticles for magnetic resonance/optical dual-mode imaging. Regen Biomater 2021;8:rbab023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Alexander JJ. Blood-brain barrier (BBB) and the complement landscape. Mol Immunol 2018;102:26–31. [DOI] [PubMed] [Google Scholar]
- 24. Su CH, Tsai CY, Tomanek B, Chen WY, Cheng FY.. Evaluation of blood-brain barrier-stealth nanocomposites for in situ glioblastoma theranostics applications. Nanoscale 2016;8:7866–70. [DOI] [PubMed] [Google Scholar]
- 25. Daneman R, Prat A.. The blood-brain barrier. Cold Spring Harb Perspect Biol 2015;7:a020412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Zhao Z, Nelson AR, Betsholtz C, Zlokovic BV.. Establishment and dysfunction of the blood-brain barrier. Cell 2015;163:1064–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Oller-Salvia B, Sánchez-Navarro M, Giralt E, Teixidó M.. Blood-brain barrier shuttle peptides: an emerging paradigm for brain delivery. Chem Soc Rev 2016;45:4690–707. [DOI] [PubMed] [Google Scholar]
- 28. Camacho CJ, Katsumata Y, Ascherman DP.. Structural and thermodynamic approach to peptide immunogenicity. PLoS Comput Biol 2008;4:e1000231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Erak M, Bellmann-Sickert K, Els-Heindl S, Beck-Sickinger AG.. Peptide chemistry toolbox—transforming natural peptides into peptide therapeutics. Bioorg Med Chem 2018;26:2759–65. [DOI] [PubMed] [Google Scholar]
- 30. Ran DN, Mao JN, Zhan CY, Xie C, Ruan HT, Ying M, Zhou JF, Lu WL, Lu WY.. D-retroenantiomer of quorum-sensing peptide-modified polymeric micelles for brain tumor-targeted drug delivery. ACS Appl Mater Interfaces 2017;9:25672–82. [DOI] [PubMed] [Google Scholar]
- 31. Liu M, Li X, Xie ZX, Xie C, Zhan CY, Hu XF, Shen Q, Wei XL, Su BX, Wang J, Lu WY.. D-peptides as recognition molecules and therapeutic agents. Chem Rec 2016;16:1772–86. [DOI] [PubMed] [Google Scholar]
- 32. Díaz-Perlas C, Oller-Salvia B, Sánchez-Navarro M, Teixidó M, Giralt E.. Branched BBB-shuttle peptides: chemoselective modification of proteins to enhance blood-brain barrier transport. Chem Sci 2018;9:8409–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Malcor JD, Payrot N, David M, Faucon A, Abouzid K, Jacquot G, Floquet N, Debarbieux F, Rougon G, Martinez J, Khrestchatisky M, Vlieghe P, Lisowski V.. Chemical optimization of new ligands of the low-density lipoprotein receptor as potential vectors for Central nervous system targeting. J Med Chem 2012;55:2227–41. [DOI] [PubMed] [Google Scholar]
- 34. Prades R, Oller-Salvia B, Schwarzmaier SM, Selva J, Moros M, Balbi M, Grazú V, de La Fuente JM, Egea G, Plesnila N, Teixidó M, Giralt E.. Applying the retro-enantio approach to obtain a peptide capable of overcoming the blood-brain barrier. Angew Chem Int Ed Engl 2015;54:3967–72. [DOI] [PubMed] [Google Scholar]
- 35. Nakagawa S, Deli MA, Kawaguchi H, Shimizudani T, Shimono T, Kittel A, Tanaka K, Niwa MA.. New blood-brain barrier model using primary rat brain endothelial cells, pericytes and astrocytes. Neurochem Int 2009;54:253–63. [DOI] [PubMed] [Google Scholar]
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