Abstract
In tumor treatment, the deposition of nanoenzymes in normal tissues and cause potential side effects are unavoidable. Here, we designed an intelligent biomimetic nanoenzymes carrier platform (MSCintelligent) that endows the carrier platform with “wisdom” by introducing Affibody-Notch(core)-VP64-GAL4/UAS-HSV-TK artificial signal pathways to mesenchymal stem cells (MSCs). This intelligent nanoenzymes carrier platform is distinguished from the traditional targeting tumor microenvironment or enhancing affinity with tumor, which endue MSCintelligent with tumor signal recognition capacity, so that MSCintelligent can autonomously distinguish tumor from normal tissue cells and feedback edited instructions. In this study, MSCintelligent can convert tumor signals into HSV-TK instructions through artificial signal pathway after recognizing Her2 (+) tumor. Subsequently, the synthesized HSV-TK can rupture MSCintelligent under the mediation of ganciclovir, and release the preloaded Cu/Fe nanocrystal clusters to kill the tumor accurately. Meanwhile, MSCintelligent without recognizing tumors will not initiate the HSV-TK instructions, thus being unresponsive to GCV and blocking the release of nanoenzymes in normal tissues. Consequently, MSCintelligent is the first intelligent biomimetic nanoenzymes carrier platform, which represents a new biomimetic nanoenzymes targeting mode.
Keywords: MSCintelligent, Her2 (+) tumor, Intelligent modification, Artificial signaling pathway, Nanoenzymes
Graphical abstract
1. Introduction
Patients with Her2 (+) tumors are characterized by poor prognosis, high mortality, and poor sensitivity to chemotherapy drugs, which seriously affects their survival and quality of life. In recent years, nanoenzymes-initiated nanomedicine has attracted extensive attention in tumor treatment. Whether based on the endogenous responsiveness of the tumor microenvironment (pH [1], GSH [2], ROS [3], etc.) or the exogenous responsiveness of magnetic fields [4]and phototherapy [5,6], nanoenzymes have exhibited promising therapeutic potential. However, although the enhanced permeability and retention (EPR) effect can effectively promote the enrichment of nanoenzymes at the tumor site, such enrichment still cannot reach 1 % of the total nanoparticles [7,8]. Currently, many targeted modification strategies for nanoenzymes can improve their enrichment in tumors, but most nanoparticles cannot reach the tumor site because of the unique characteristics of the human physiological structure. These nanoparticles deposited in normal tissues are often phagocytized by macrophages in the reticuloendothelial system and eventually accumulate in normal organs, such as the liver and spleen, for a long time and directly interact with normal tissues, which inevitably causes long-term injury, fibrosis, and even cancer [9,10].
Although the existing biomimetic nanoenzymes carrier platforms such as cells [11], bacteria [12], and cell membranes [[13], [14], [15]] can effectively block the interaction between nanoenzymes and normal tissues in vivo and reduce nanoenzymes-induced toxicity on normal tissues. However, this strategy also simultaneously blocks the contact between nanoenzymes and tumor tissue or tumor microenvironment and weakens the killing effect of nanoenzymes on the tumor. Furthermore, the majority of design strategies of these biological nanoenzymes carrier platforms mainly focus on targeting the tumor microenvironment or increasing the affinity with the tumor, which indeed partly improves the enrichment of nanoenzymes in tumors. However, due to these biomimetic functional nanoenzymes not having pre-set intelligence, they rely on natural homing to identify tumors. But the original function of receptors in natural live cell carriers is not to recognize tumors, so they may not be able to accurately distinguish tumor signals from other lesion microenvironments, resulting in off target. And this homing effect that deviates from its original physiological function is usually weak. We posit that an ideal modification strategy of the nanoenzymes is supposed to endow them with “wisdom” and make them precisely recognize/distinguish cancer cells from normal tissue cells and exclusively deliver drugs to tumor sites after making judgments.
To achieve the abovementioned objectives, we endue intelligent modification to menstrual blood-derived endometrial stem cells (MenSC) through gene editing, customized a Her2 (+) tumor cell artificial recognition receptor and the corresponding signal feedback structure for MSCs, and combined with nanoenzymes (Cu/Fe nanocrystal clusters) to constructed an intelligent biomimetic nanoenzymes carrier platform (MSCintelligent). This biomimetic nanoenzymes carrier platform can truly recognize and distinguish Her2 (+) tumor and normal human tissue cells according to the internal intelligent artificial DNA program (artificial signaling pathway) to realize the accurate/exclusive release of nanoenzymes to tumor sites (Fig. 1). Additionally, compared to other types of mesenchymal stem cells (MSCs), MenSCs is more primitive, exhibits superior proliferation capacity and non-tumorigenic potential [[16], [17], [18]]. Therefore, MenSCs could be taken as an excellent stem cell source for creating intelligent biomimetic nanozyme carrier platforms.
Fig. 1.
MSCintelligent's process and principle for intelligent recognition of Her2 (+) tumors.
Notch protein is an evolutionarily highly conserved cell membrane surface receptor, which can regulate the development of biological cells by recognizing notch ligand (DSL protein) [19]. Previous studies have shown that Notch protein can still perform notch-like functions by retaining only the smallest transmembrane core domain even though replacing intracellular and extracellular domains [[20], [21], [22], [23]]. Based on this characteristic, this study used Her2-specific antigen receptor (affibody) and VP64 to replace the extracellular and intracellular domains of Notch protein, respectively, to create an artificial receptor that can recognize Her2 (+) tumors and connected the Her2 (+) tumor receptor and thymidine kinase (HSV-TK) signal feedback structure through the GAL4/UAS gene expression regulation system to construct the intelligent artificial signaling pathway to recognize tumors. Because Her2 (+) tumors are different from normal tissues in that they highly express the Her2 protein, the artificial signaling pathway (Affibody-Notch(core)-VP64-GAL4/UAS-HSV-TK) equipped in MSCintelligent can help MSCs intelligently distinguish Her2 (+) tumors and normal tissues by recognizing the Her2 protein expressed on tumor cells. Once the Her2 protein expressed on tumor cells is recognized by the recognition structure of MSCintelligent, VP64 will transmit a tumor signal to activate the GAL4/UAS gene expression regulatory element and specifically initiate the expression of the HSV-TK gene in the response structure. Then, the expressed HSV-TK can convert ganciclovir (GCV), a conventional low toxicity for the clinical treatment of herpes, into ganciclovir triphosphate (GCV-TP), which inhibits DNA replication and results in the rupture of MSCintelligent and release of nanoenzymes. Simultaneously, because of the lack of a Her2 protein stimulation signal in normal tissues, MSCintelligent will default these cells as normal tissue cells and not activate the coupled artificial signaling pathway and HSV-TK gene expression. Due to the low toxicity of GCV, even in the presence of GCV, MSCintelligent will not be ruptured and release nanoenzymes (Fig. 1). Based on the intelligent recognization of MSCintelligent to Her2 (+) tumors and the unique artificial signaling pathway, MSCintelligent can not only perform the accurate release of nanoenzymes in the tumor site but also effectively block the release of nanoenzymes in normal tissue. Consequently, this is the first intelligent biomimetic nanoenzymes carrier platform that can autonomously distinguish tumors from normal tissue cells by the intelligent system (artificial signaling pathways), which provides a new alternative for the application of nanoenzymes in tumor therapy.
2. Materials and methods
2.1. Cells and animals
The MSCs used in this study are menstrual blood-derived endometrial stem cells, which are provided by Zhong yuan Stem Cell Research Institute of Xinxiang high tech Zone. All experimental procedures in this study were approved by the ethics committee of Xinxiang Medical University and carried out in accordance with the approved guidelines. Female BALB/c-nude mice and BALB/c mice aged 6–8 weeks (18–25 g) were purchased from Vital River Laboratories (Beijing, China; license No. SCXK (Beijing) 2016–0006). Mice were randomly divided into cages and housed in a specific pathogen-free environment with a temperature of 25 °C, a humidity of 50 ± 5 %, and a light-dark cycle of 12 h. All the treatment and laboratory procedures on mice were performed in accordance with the guidelines of the ethic committee of Xinxiang Medical University.
2.2. Establishment of MSCintelligent and fluorescence-labeled cells
The notch (core) in MSCintelligent originates from mouse Notch1 (nm_008714; Ile1427 to Arg1752). In order to label the recognition structure, we fused the c-myc tag (EQKLISEEDL) into the N-terminal of recognition structure and added the puromycin resistance tag. Simultaneously, the transcriptional activation sequence in the response structure contained five repeated GAL4 DBD targeting sequences (GGAGCACTGTCCTCCGAACG) and a BFP tag driven by independent promoter was added in the response structure. The recognition structure and response structure were integrated into the genome of MSCs by conventional lentivirus-mediated transfection. After stable expression, puromycin screening and flow cytometry sorting were consecutively performed. Additionally, Skov3, BT474, Svog, BJ, L02, and 293 T cells were labeled with GFP.
2.3. Immunofluorescence
Human breast cancer tissue: the sections were immersed in antigen repair solution at 90°C–100 °C, incubated in 100 °C water for 20 min, cooled naturally to room temperature, and washed three times with PBS. Subsequently, the slices were permeabilized with 0.5 % Triton X-100 at room temperature for 25 min and washed three times with PBS. After blocking with 10 % goat serum for 2 h, the samples were incubated with rabbit anti-human Her2 primary antibody (CY3086; Abways) in a wet box at 4 °C overnight. Then, the sections were incubated with Cy5-labeled Goat anti-rabbit IgG secondary antibody at 37 °C for 1 h, and the nuclei were stained with DAPI. Finally, the sections were observed and imaged under confocal microscopy.
MSCintelligent: In accordance with the above procedures, Triton X-100 was used to permeabilize and goat serum to block the cells. Thereafter, the primary antibody (mouse-derived c-myc tag, AB0001; Abways) and the secondary antibody (FITC-labeled Goat anti-mouse IgG) was used to finish the subsequent immunofluorescent staining.
2.4. Synthesis and surface modification of Cu + -contained Cu/Fe nanocrystal clusters (CCFC)
Ferric chloride hexahydrate (FeCl3·6H2O), Copper (II) chloride dihydrate (CuCl2·2H2O), ethylene glycol (EG), and anhydrous sodium acetate (NaAc) were obtained from Sinopharm Chemical Reagent Co., Ltd. Polyvinyl pyrrolidone K30 (PVP) was purchased from Sigma-Aldrich. Bovine serum albumin (BSA) was bought from Aladdin Chemistry Co., Ltd. All chemicals listed above were of analytic grade or better. CCFC was prepared by a solvothermal reaction. Briefly, 1.62 g of FeCl3·6H2O, 0.51 g of CuCl2·2H2O, 3.28 g of NaAc, and 1.00 g PVP were dissolved in 40 mL of EG. The mixture was sealed in a Teflon-lined autoclave and kept at 200 °C for 12 h. After the reaction, the precipitate was collected by centrifugation and rinsed with water and ethanol several times, and then redispersed in water and exposed to air for 15 days. Finally, the product CCFC was collected and dried in a vacuum lyophilizer. For surface modification of BSA on CCFC, 20 mg of BSA was dispersed in 5 mL of CCFC aqueous solution (200 ppm) via ultrasonication at room temperature for 2 h. Next, we obtained the BSA-modified CCFC (CCFCB) by centrifugation, and being washed with deionized water three times to remove excessive BSA. At last, this CCFCB was dried in a vacuum lyophilizer and stored in an argon atmosphere glovebox for further application.
2.5. Characterization of CCFC
The images of CCFC prepared by the above one-step method were obtained by scanning electron microscope (s-4800), transmission electron microscope (jem-2100f), and high-resolution transmission electron microscope (HRTEM). Infrared spectrometer (Nicolet nexus670) collects Fourier transform infrared spectrum. XRD was detected by D/max-2550pc X-ray diffractometer (RIGAKU). Energy spectrum analyzer (EDS) obtains EDS mapping of Cu, Fe, and O element distribution of CCFC.
2.6. POD-like catalytic activity of CCFCB
The POD-like catalytic activity of CCFCB was examined by 3,3′,5,5′-tetramethylbiphenyl (TMB, purchased from Aladdin Chemistry Co., Ltd.) as the substrate in the presence of H2O2. CCFCB (2000 ppm) and TMB (15 mM) were added into 4.43 mL of PBS (pH = 5.5). The absorption peak of TMB (652 nm) was acquired by UV–visible spectra.
2.7. Loading capacity of CCFCB in MSCintelligent
MSCintelligent was cultured in the cell culture dish for 12 h, and then, FITC-labeled CCFCB was added and incubated with MSCintelligent for 6 h and washed with PBS three times. A confocal microscope (Nikon) was used to observe the positional relationship between CCFCB and MSCintelligent from various angles based on three-dimensional reconstruction. Subsequently, the cells were fixed with 4 % paraformaldehyde (PFA) for 20 min, and the FITC-labeled cells were detected by flow cytometry.
Subsequently, MSCintelligent were cultured in 24-well plates overnight and incubated with CCFCB of 0 ppm, 10 ppm, 20 ppm, 30 ppm, and 40 ppm for 6 h. Excessive CCFCB was washed with PBS, and MSCintelligent was collected. After ultrasonication, MSCintelligent was centrifuged at 2000 g for 10min, excessive HCl solution (pH = 2) was added to dissolve CCFCB, and pH was adjusted to 7 with NaOH solution. After constant volume to 1 mL, the concentration of iron was quantified according to the tissue iron assay kit (BC4350; Solarbio). Using the same method to dissolve CCFCB and measure iron ion concentration, and plot the standard curve between CCFCB and iron ions. The iron ion concentration in the MSCintelligent mentioned above was converted into the amount of CCFCB using the standard curve.
2.8. Prussian blue staining
After being cultured overnight, MSCintelligent was incubated with 20 ppm CCFCB for 6 h, and the excessive CCFCB was washed with PBS. Then, the cells were fixed with 4 % PFA and stained according to the prussian blue iron staining kit (G1424; Solarbio).
2.9. Recognition of Her2 (+) tumor by MSCintelligent
3 × 105 MSCintelligent were cocultured with 2 × 104 GFP-labeled Her2 (+) tumor cells (Skov3-GFP and BT474-GFP) or GFP-labeled normal tissue cells (Svog-GFP, BJ-GFP, L02-GFP, 293 T-GFP), respectively. The cell interactions were observed and imaged under a confocal microscope. Furthermore, three groups were set in the Transwell experiment, group A: MSCintelligent cells alone cultured in the lower layer; group B (Non-contact coculture): Skov3-GFP cells cultured in the upper layer and MSCintelligent in the lower layer; group C (Contact coculture): Skov3-GFP and MSCintelligent were mixed and cultured in the lower layer in. After being cultured for 48 h, the cell interactions were observed and imaged under confocal microscopy.
2.10. Rupture of MSCintelligent
3 × 105 MSCintelligent were cocultured with 2 × 104 Her2 (+) tumor cells (Skov3-GFP, BT474-GFP) for 48 h, and then 50 ng/ml of GCV was added to continually culture for another 12 h, the rupture of MSCintelligent was observed and imaged under a confocal microscope.
2.11. Dynamic record of recognition and rupture of activated MSCintelligent
Recognition: 1.5 × 105 MSCintelligent and 1.5 × 105 Skov3-GFP were seeded and cocultured in fibronectin-coated 24 well plates for different time points (15min, 12 h, 24 h, 36 h, 48 h), the cells with fluorescence changes were imaged under a microscope. Simultaneously, the cells were fixed with 4 % PFA and the mCherry-labeled cells were detected by flow cytometry.
Rupture: 1.5 × 105 MSCintelligent and 1.5 × 105 Skov3-GFP were cocultured for 48 h, and 50 ng/ml of GCV was added. Then, the cocultured MSCintelligent and Skov3-GFP were imaged at different time points (0 h, 3 h, 6 h, 9 h, 12 h) under a microscope. Simultaneously, the cells were fixed with 4 % PFA and the mCherry-labeled cells were detected by flow cytometry.
2.12. Living cell workstation
Recognition: 2 × 104 MSCintelligent (10 ppm of CCFCB) and 2 × 104 Skov3-GFP were seeded into the cell culture dish for 6 h, and the cells were imaged under the living cell workstation.
Rupture: 2 × 104 MSCintelligent (10 ppm of CCFCB) and 2 × 104 Skov3-GFP were cocultured for 48 h, and 50 ng/ml of GCV was added. Then, the cocultured MSCintelligent and Skov3-GFP were imaged under the living cell workstation.
2.13. Her2 (+) tumor cell wounds test
When the cultured Skov3-GFP approximately reached 100 % confluence in the cell culture dish, the pipette tip was used to slowly scratch the cell layer, and 2 × 105 MSCintelligent was added to the scratched cell layer.
Recognition: After being cocultured for 24 h, the cells were fixed with 4 % PFA and imaged under confocal microscopy.
Rupture: After being cocultured for 24 h, 50 ng/ml of GCV was added, and the cells were cultured for another 12 h. Then, the cells were fixed with 4 % PFA and imaged under confocal microscopy.
2.14. Treatment of Her2 (+) tumor cells with MSCintelligent in vitro
To determine the killing effect of MSCintelligent (20 ppm of CCFCB) on tumor cells, four groups of cells culture systems were set up, A: Control group, B: MSCintelligent group (MSCintelligent:Skov3-GFP = 1:1), C: GCV group, and D: MSCintelligent group + GCV group (MSCintelligent:Skov3-GFP = 1:1). Briefly, Skov3-GFP cells was cultured in 96-well plates for 24 h, and MSCintelligent was added and cultured for 48 h; then 50 ng/ml of GCV was added and cultured for 12 h. Centrifuge the culture medium to collect the sediment and resuspend it with fresh medium containing 50 mM hydrogen peroxide with pH = 6.0, then continue to culture for 6 h. The fluorescence intensity of GFP and mCherry in each well was detected by a microplate reader.
2.15. Recognition of Her2 (+) tumor by MSCintelligent in vivo
Lung metastasis model: 3 × 106 Skov3-GFP cells were transplanted into the lungs of BALB/c-nude mice through the tail vein. Skov3-GFP cells were colonized in mouse lung for 3 days, and then 5 × 106 MSCintelligent were transplanted into the mice through the tail vein. In the rupture group, 50 mg/kg of GCV was intravenously injected on Day 5. The lung of mice in each group was isolated and imaged under a stereo fluorescence microscope on Day 7. Then, the lungs were cryosectioned and three-dimensional reconstruction was performed by confocal microscopy to observe the interaction between MSCintelligent and Her2 (+) cells in the lungs.
Solid tumor model: 5 × 106 Skov3-GFP cells were subcutaneously injected into the backside of BALB/c-nude mice for 30 days, and then 5 × 106 MSCintelligent cells were transplanted into the mice through the tail vein at Day 30. In the rupture group, 50 mg/kg of GCV was intravenously injected into the mice on Day 32 and the tumors were harvested on day 34. Then, imaged under confocal microscopy.
2.16. The antitumor effect of MSCintelligent on Her2 (+) tumors in vivo
5 × 106Skov3 cells were injected subcutaneously into the backside of BALB/c-nude mice, and then raised for 30 days. Tumor-bearing mice were randomly divided into four groups: control group, GCV group, MSCintelligent (40 ppm of CCFCB) group, and MSCintelligent (40 ppm of CCFCB) + GCV group. Then, 5 × 106 MSCintelligent were transplanted through the tail vein into the mice of the MSCintelligent group and MSCintelligent + GCV group. After 48 h, 50 mg/kg of GCV was intravenously injected into the mice of the GCV group and MSCintelligent + GCV group and then fed for 21 days. At the end of the experiment, the tumor was isolated and weighed, and the long axis and short axis of the tumor were measured to calculate the tumor volume.
2.17. Statistical analysis
Statistical analysis was performed with the SPSS statistics software. All data were reported as mean ± standard deviation unless specified otherwise. Dunnett's test was used for comparisons among ≥3 groups. P < 0.05 was considered to be statistically significant.
3. Results
3.1. Establish an intelligent biomimetic nanoenzymes carrier platform (MSCintelligent)
In clinical practice, Her2 protein is a common tumor marker (Fig. 2A), and is found in 20 %–30 % of breast cancers [24], 20 %–30 % of ovarian cancers [25], and 7 %–34 % of gastric cancers [26,27]. To accomplish intelligent modification of the nanoenzymes carrier platform (MSCintelligent), enabling it to autonomously and accurately distinguish between Her2 (+) tumors and normal tissue cells, and to achieve precise release of nanoenzymes in Her2 (+) tumors, we endowed the MSC Affibody Notch (core) - VP64-GAL4/UAS-HSV-TK artificial signaling pathway with gene editing technology. Specifically, the intelligent core of this intelligent biomimetic nanoenzymes carrier platform consists of two parts: a recognition structure (Affibody-Notch (core) -VP64) and a response structure (GAL4/UAS-HSV-TK) (Fig. 2B and C). In the recognition structure, we retained the core domain of the notch protein, replaced the extracellular and intracellular structures of the natural Notch protein with affibody and VP64, respectively, and added a c-myc tag (EQKLISEEDL) and CD8α signal peptide (MALPVTALLLPLALLLHAARP) at the N-terminal of the recognition structure (Fig. 2B and C). In the recognition structure, the affibody connected to the N-terminal of the notch (core) can perceive the Her2 (+) tumor and transmit the recognition signal to VP64. This signal perception and transmission mode depend on our retention of the S3 cleavage site of the natural notch protein in the recognition structure. When the Affibody-Notch (core) recognizes the Her2 protein on the tumor surface, the intracellular γ-secretase will act on the S3 site of the Notch protein, resulting in the disassociation of VP64, which will be transferred into the nucleus and complete the tumor signal transmission. Subsequently, to enable MSCintelligent to provide feedback instructions for rupture and release nanoenzymes after receiving the Her2 (+) tumor stimulation signal, we cloned five copies of the GAL4 DBD targeting sequence (GGAGCACTGTCCTCCGAACG) into the minimal CMV promoter of MSCintelligent to drive the HSV-TK gene and added a BFP label (blue fluorescent protein) to the response structure of the intelligent program (Fig. 2B and C). When the recognition structure of MSCintelligent receives Her2 (+) tumor stimulation, VP64 will transport stimulation signals to the nucleus, where it will combine with the GAL4 DBD target sequence to form an intact GAL4-VP64 transcription activator and further activate the expression of HSV-TK in the response structure. The green and blue fluorescence in Fig. 2C represent the recognition structure and response structure of MSCintelligent, respectively, which together constitute the artificial signaling pathway of MSCintelligent. Through Flow cytometry analysis of intelligently modified MSCintelligent revealed that they still conform to internationally recognized criteria for MSCs, with positive rates exceeding 95 % for CD70, CD90, and CD105, and no expression of CD11b, CD19, CD34, CD45, and HLA-DR (Fig. S1). In the coculture system with hPBMC cells, no significant differences were observed in T cells (CD3+, CD3+ CD4+, and CD3+ CD8+) and B cells (CD3− CD19+) between the MSCintelligent group and the MSC group, and neither group could activate the immune system (Fig. S2).
Fig. 2.
Design principle of the intelligent modified MSC intelligent nanoenzymes carrier platform. (A) Human Her2 (+) breast cancer samples. (B) Structure diagram of the MSCintelligent nanoenzymes carrier platform. (C) The recognition structure and response structure diagram of MSCintelligent and immunofluorescence images. Blue and green fluorescence represent the c-myc tag in the recognition structure and BFP in the response structure, respectively. (D) High magnification SEM. (E) TEM and (F) HRTEM images. (G) XRD and (H) EDS mapping images. (I) POD-like activity image of the CCFCB. (J) Z-stack CLSM and (K) flow cytometry demonstrated that MSCintelligent can wrap and load Fitc labeled CCFCB. (L) The amount of CCFCB carried by 1 × 104 MSCintelligent. Insert Prussian blue stain image.
In this study, the nanoenzymes in MSCintelligent is CCFCB. First, we used a facile one-step solvothermal reaction to synthesize Cu + -containing Cu/Fe nanoclusters (CCFC) and then oxidized the CCFC in water exposed to air, thus yielding Cu+ with high catalytic activity. The morphology of the CCFC was characterized by scanning electron microscopy (SEM) and transmission electron microscopy (TEM), as presented in Fig. 2D, E and Fig. S3. It could be clearly observed that CCFC consists of uniform sphere-shaped nanocrystal clusters possessing an average diameter of ⁓150 nm. Fig. 2F displays the high-resolution TEM (HRTEM) image of nanocrystal clusters, in which the marked interplanar d-spacings of ∼0.30 nm correspond to the {220} lattice fringes of cubic CuFe2O4 crystal. Moreover, the diffraction pattern (Fig. 2F, inset) of the fast Fourier transform (FFT) from the HRTEM image can be indexed to the [001] zone axis of the cubic CuFe2O4 crystal. The crystal structure of CCFC was further verified by X-ray diffraction (XRD). As seen from Fig. 2G, the position and relative intensity of the diffraction peaks coincide well with the data of standard CuFe2O4 (JCPDS 77–0010), copper (JCPDS 85–1326), and Cu2O (JCPDS 05–0667). Different from previous reports concerning CuFe2O4, the as-prepared CCFC has a high peroxidase (POD) like catalytic activity of Cu+ from Cu2O, promising as a high-activity nanoenzymes in cancer catalytic therapy. Scanning transmission electron microscopy (STEM) with energy dispersive X-ray spectroscopy (EDS) mapping of the nanocrystal clusters was also recorded, displaying a homogeneous distribution of Cu, Fe, and O elements in the clusters (Fig. 2H). To improve the biocompatibility of CCFC for safe loading into MSCintelligent, BSA was modified on the surface of CCFC to ultimately achieve BSA-modified CCFC (CCFCB) nanoenzymes. Ideally, CCFCB nanoenzymes containing high catalytic activity of Cu+ is expected to have excellent POD-like catalytic activity, which can convert hydrogen peroxide (H2O2) in the tumor microenvironment into highly active hydroxyl radicals (·OH), thereby destroying the proteins or deoxyribonucleic acid (DNA) of tumor cells and leading to cell apoptosis [28,29]. As expected, our results indicated that CCFCB nanoenzymes exhibited robust POD-like activity under acidic and H2O2 conditions, while without acidic and H2O2 conditions, there was no obvious change observed in the absorbance of TMB (Fig. 2I). However, the pH value inside the cell is usually neutral, which will prevent the damage of nanoenzymes to MSCintelligent. Subsequent CCK-8 (Fig. S4 A), flow cytometry (Fig. S4 B), ROS staining (Fig. S4 C), and live-dead cell staining (Fig. S4 D) results confirmed the promising anti-tumor activity of CCFCB nanoenzymes.
The CCFCB in the MSCintelligent was marked by Fitc. Based on the three-dimensional reconstruction scanning of the confocal microscope, we confirmed that CCFCB existed in the interior of MSCintelligent, rather than on the surface of cells (Fig. 2J), which avoids nanoenzymes direct contact with normal tissue cells. Flow cytometry (Fig. 2K), Prussian Blue/phenol red staining (Fig. 2L), and CCFCB content detection (Fig. L, Fig. S5) also demonstrated the CCFCB in MSCintelligent from multiple perspectives.
3.2. MSCintelligent intelligently recognize Her2 (+) tumors
To visually present the signal feedback process of MSCintelligent after recognizing Her2 (+) tumors, we used the IRES structure to connect the mCherry and HSV-TK genes in the response structure (Fig. 2C). Therefore, when MSCintelligent recognizes Her2 (+) tumors, MSCintelligent will initiate the expression of the TK gene accompanied by emitting red fluorescence (activated MSCintelligent). As expected, MSCintelligent shows extraordinary recognition ability for Her2 (+) tumor. After coculturing MSCintelligent (blue fluorescence) with two kinds of Her2 (+) tumor cells, Skov3 and BT474 (green fluorescence), MSCintelligent accurately recognized Her2 (+) tumors, that the blue fluorescence-labeled MSCintelligent emitting red fluorescence. The activated MSCintelligent (red fluorescence) that recognized Her2 (+) tumors closely surrounded Her2 (+) tumor cells (green fluorescence), and both exhibited a similar distribution (Fig. 3A). Moreover, in the follow-up Transwell experiment, we found that the intelligent recognition of Her2 (+) tumors by MSCintelligent depended on the direct contact between MSCintelligent and Her2 (+) tumors (Fig. 3B). In three kinds of culture systems, the activated MSCintelligent only appeared in the contact coculture system of MSCintelligent and Her2 (+) tumors, but both MSCintelligent cultured alone or noncontact cocultured with Her2 (+) tumors could not be activated (Fig. 3B). Consistent conclusions were reached when analyzing the fluorescence intensity of MSCintelligent-Her2 (+) tumor coculture systems. Three peaks are shown in Fig. S6: the green, blue, and red peaks represent Her2 (+) tumors, total MSCintelligent, and activated MSCintelligent, respectively. The results indicated that among the four blue peaks, only two blue peaks adjacent to the green peak turned red, demonstrating that the recognition of Her2 (+) tumors by MSCintelligent depended on direct contact with Her2 (+) tumors (Fig. S6). Based on the three-dimensional reconstruction, we also found direct contact between MSCintelligent and Her2 (+) tumors in three-dimensional space (Fig. 3C). This contact recognition mode between MSCintelligent and Her2 (+) tumors ensures the activation of MSCintelligent only at the tumor site and avoids MSCintelligent activation at the nontumor site. Simultaneously, we also detected activated MSCintelligent by flow cytometry in the MSCintelligent and Her2 (+) tumor coculture system, strongly confirming the capacity to recognize Her2 (+) tumors by MSCintelligent (Fig. S7). Furthermore, to dynamically observe the process of MSCintelligent recognition of Her2 (+) tumors, we performed live-cell workstation imaging. Conclusively, these results revealed that the intelligent recognition of Her2 (+) tumors by MSCintelligent can be divided into four stages: preparation, approach, contact, and activation (Fig. 3D, video 1). Additionally, the recognition of MSCintelligent for Her2 (+) tumor is a sensitive process. MSCintelligent only needs a pseudopodium to contact the Her2 (+) tumor to fully complete the recognition and signal feedback to the Her2 (+) tumor (activate the downstream HSV-TK gene and turn red), and MSCintelligent without contact with Her2 (+) tumors will not be activated (Fig. S8, video 2). To detect the peak time when MSCintelligent fed back the HSV-TK gene after recognizing the Her2 (+) tumor. We discovered that MSCintelligent could be completely activated within 36 h after recognizing Her2 (+) tumors by evaluating the red fluorescence intensity in the MSCintelligent-Her2 (+) tumor coculture system through confocal microscopy and flow cytometry (Fig. 3E and S9).
Fig. 3.
MSCintelligent intelligence recognizes/distinguishes Her2 (+) tumor and normal tissue cells. (A) MSCintelligent cells were cocultured with Skov3 and BT474 cells. Green cells are Her2 (+) tumor cells, blue cells are MSCintelligent, and red cells are MSCintelligent that recognize Her2 (+) tumor cells. (B) The contact and noncontact coculture systems between MSCintelligent and Her2 (+) tumor cells were established by Transwell assays. (C) Z-stack CLSM image of MSCintelligent-Her2 (+) tumor cells. (D) Dynamic recognition process of Her2 (+) tumors by MSCintelligent. (E) The red fluorescence intensity of activated MSCintelligent at different time points in the coculture system of MSCintelligent and Skov3 cells. (F) MSCintelligent and Skov3 cell wounds were cocultured for 24 h. (G) MSCintelligent cells cocultured with four kinds of normal tissue cells and two kinds of Her2 (+) tumor cells. Red cells are MSCintelligent that recognizes Her2 (+) tumor cells.
Supplementary video related to this article can be found at https://doi.org/10.1016/j.mtbio.2024.101105
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The following are the supplementary data related to this article:
To further testify to the accuracy of MSCintelligent in recognizing Her2(+) tumors from a macroscopic view. We divided the tumor area (treatment area) and the nontumor area (safety area) at the cellular level through the Her2(+) tumor wound test, and MSCintelligent was then seeded into the tumor cell layer to initiate the recognition process of MSCintelligent to Her2 (+) tumors in vitro. Satisfactorily, the results demonstrated that MSCintelligent can accurately recognize the Her2 (+) tumor area even on a large scale, and the activated MSCintelligent perfectly overlaps with the tumor to form a treatment area, but no phenomenon of existing activated MSCintelligent (red fluorescence) in the nontumor area was observed (Fig. 3F). Subsequently, to further confirm the accuracy of MSCintelligent recognition, two kinds of Her2 (+) tumor cells (Skov3 and BT474) and four kinds of normal human tissue cells (kidney: 293 T; liver: L02; skin: BJ and ovary: Svog) were selected for coculture with MSCintelligent cells. Consistent with the expected results, MSCintelligent was exclusively activated by two kinds of Her2 (+) tumor cells in six groups of coculture systems, while four normal human cells were unable to activate MSCintelligent (Fig. 3G). Consequently, the aforementioned findings demonstrated both the accuracy of recognition of Her2 (+) tumors and the intelligence of artificial signaling pathway equipped in MSCintelligent.
3.3. MSCintelligent controllably releases nanoenzymes
GCV is widely used in treating herpes simplex and is characterized by low toxicity and affordable price. Under the catalysis of HSV-TK, GCV can be transformed into GCV triphosphate, which interferes with DNA synthesis and leads to the rupture of cells. According to this principle, in this study, to make the process of nanoenzymes release by MSCintelligent controllable, we endowed MSCs with the ability to recognize the feedback HSV-TK gene after Her2(+) tumors. Due to the lack of a Her2 signal in normal tissue cells, MSCintelligent will not activate the HSV-TK gene. Therefore, because of the difference in the expression of the HSV-TK gene of MSCintelligent in tumor sites and normal tissues, MSCintelligent will be ruptured in tumor sites under the mediation of GCV but still remain intact in nontumor sites, resulting in the accurate release of nanoenzymes in tumor sites. Next, to validate the process of GCV-mediated nanoenzymes release, two kinds of Her2 (+) tumors were selected to be cocultured with MSCintelligent for 48 h, and then, GCV was added for 12 h. The results demonstrated that GCV can accurately rupture the activated MSCintelligent near the tumor, and the ruptured MSCintelligent fragments closely surrounded the Her2 (+) tumor, and both showed a distribution similar to the tumor (Fig. 4A). Additionally, based on the three-dimensional reconstruction of the confocal microscope, we confirmed that the activated MSCintelligent was ruptured and the potential of nanoenzymes was released around the Her2 (+) tumor. Consistent with the findings in Fig. 4A, the MSCintelligent (blue fluorescence) that could not recognize the tumor remained intact, and the preloaded nanoenzymes could not be released even under the mediation of GCV due to the unactivation of HSV-TK expression in MSCintelligent (Fig. 4B). The same result was revealed in the subsequent flow cytometry results and GCV toxicity results. The MSCintelligent which represents a recognized tumor, after adding GCV the activation peak disappeared (Fig. 4C). GCV showed significant cytotoxicity towards only activated MSCintelligent (Fig. S10). Then, we dynamically observed the rupture process of activated MSCintelligent in the presence of GCV through the living cell workstation (Fig. 4D, video 3). To further validate the accuracy and safety of MSCintelligent in the treatment process, GCV was added to the cocultured MSCintelligent with a scratched tumor cell layer for another 12 h. As expected, after GCV addition, the activated MSCintelligent in the tumor area (MSCintelligent treatment area) was completely ruptured and died. However, in the nontumor area, MSCintelligent remained unactivated and unresponsive to GCV, and the unactivated MSCintelligent was perfectly complementary to the tumor area and overlapped with the scratched area (safe area, Fig. 4E). These results demonstrated the accuracy of nanoenzymes release in MSCintelligent mediated by GCV. Finally, in order to calculate the complete rupture time of activated MSCintelligent in the presence of GCV, we observed the change of red fluorescence of activated MSCintelligent and further confirmed by flow cytometry, the results indicated that GCV could completely rupture the activated MSCintelligent within 12 h (Fig. 4F and G).
Fig. 4.
GCV mediates the precise nanoenzymes release of MSCintelligent. (A) After MSCintelligent recognized Her2 (+) tumor cells (Skov3 and BT474), GCV was added to induce nanoenzymes release. The red cell fragments are activated MSCintelligent, and the green cells are Her2 (+) tumor cells. (B) Activated MSCintelligent accurate rupture Z-stack CLSM image and (C) flow cytometry results. (D) The dynamic rupture process of activated MSCintelligent after adding GCV. (E) In Skov3 cell wounds, after MSCintelligent recognition of Skov3 cells, GCV was added and cultured for 24 h. (F) MSCintelligent red fluorescence intensity images and (G) flow cytometry results of activated MSCintelligent at different time points after GCV was added to the coculture system of MSCintelligent and Skov3 cells.
Supplementary video related to this article can be found at https://doi.org/10.1016/j.mtbio.2024.101105
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4
The following are the supplementary data related to this article:
3.4. Recognition and inhibition of Her2 (+) tumors by MSCintelligent in vivo
To evaluate the capacity of MSCintelligent to recognize Her2 (+) tumors in vivo, we respectively established a lung metastasis model and solid tumor model of Her2 (+) tumors. In the lung metastasis model, we found that MSCintelligent could still accurately recognize Her2 (+) tumors in lung tissue based on observing red fluorescence under a stereo fluorescence microscope (Fig. 5A). Subsequently, the activated MSCintelligent could be successfully ruptured after GCV injection and completed the release of the nanoenzymes (Fig. 5B). The following results of three-dimensional reconstruction of lung slices under confocal microscopy confirmed that MSCintelligent was capable of accurately distinguishing Her2 (+) tumor and normal tissue cells in vivo. Consistent with the results in vitro, the MSCintelligent that recognized the Her2 (+) tumor was activated (red fluorescence), while the MSCintelligent that did not recognize the Her2 (+) tumor remained unactivated (blue fluorescence) in the lung tissue (Fig. 5C). Simultaneously, in the solid Her2 (+) tumor model, MSCintelligent could migrate into the tumor site after being transplanted into mice via the tail vein and further accomplish the recognition of Her2 (+) tumors and that release of nanoenzymes under the mediation of GCV (Fig. 5D). Promisingly, the antitumor activity of MSCintelligent was further confirmed under a confocal microscope, and we observed that GCV-mediated release of CCFCB in MSCintelligent efficiently induced the death of Her2 (+) tumor cells (Skov3) in vitro (Fig. 5E). Then, four groups of cell culture systems were set up, A: Control group, B: MSCintelligent group, C: GCV group, and D: MSCintelligent group + GCV group, and the fluorescence intensity of mCherry (activated MSCintelligent) and GFP (Her2 (+) tumor) were measured in each group. Because the rupture of activated MSCintelligent under the mediation of GCV in Group D resulted in the loss of red fluorescence, we only detected intense red fluorescence in Group B (Fig. 5F). Consistent with the above findings, CCFCB in MSCintelligent could be successfully released and perform its antitumor effect only in Group D (Fig. 5G). Moreover, loading different concentrations of CCFCB in MSCintelligent can also enhance their anti-tumor activity, which was validated in CCK-8 (Fig. S11 A), Skov3-GFP fluorescence imaging (Fig. S11 B), and Skov3-GFP fluorescence intensity detection (Fig. S11C). Simultaneously, In the mouse model, as anticipated, there was a significant reduction in both tumor weight and volume following treatment with MSCintelligent (Fig. 5H–J). To verify the safety of MSCintelligent, we conducted liver and kidney function testing, HE staining, and immunological analysis on MSCintelligent group and MSCintelligent + GCV group mice, respectively. The results showed that neither MSCintelligent nor MSCintelligent + GCV can cause liver and kidney toxicity(Fig. S12). No organic lesions caused by MSCintelligent and MSCintelligent + GCV were found in the slices of the liver, spleen, kidneys, heart, pancreas, and lungs (Fig. S13). Furthermore, MSCintelligent and MSCintelligent + GCV can not cause significant immune system abnormalities. There were no significant differences observed in CD3+, CD3+CD4+, CD3+CD8+, and CD3−CD19+ cells in mice transplanted with MSCintelligent and MSCintelligent + GCV (Fig. S14), which is mutually confirmed with Fig. S2.
Fig. 5.
Intelligent recognition and antitumor effect of the MSCintelligent nanoenzymes carrier platform on Her2 (+) tumors. (A) The recognition of Her2 (+) tumors by the MSCintelligent nanoenzymes carrier platform in the whole lung. The image in the upper left is the macroscopic result observed under a stereo fluorescence microscope, while the images in the lower left, upper right, and lower right are the locally magnified results. (B) High magnification fluorescence imaging of (A). (C) Z-stack CLSM image of lung section of (B). Green cells are Her2 (+) tumor cells, blue cells are MSCintelligent, and red cells are MSCintelligent that recognize Her2 (+) tumor cells. (D) Intelligent recognition of Her2 (+) tumors by MSCintelligent in the solid tumor model. (E) Bright-field image of CCFCB/MSCintelligent anti Her2 (+) tumor (Skov3). (F, G) Microplate reader detection of recognition and anti-tumor effects of CCFCB/MSCintelligent on Her2 (+) tumors. Red fluorescence (mCherry) represents activated MSCintelligent; Green fluorescence (GFP) represents Skov3 cells. (H) Images of Her2 (+) tumor-bearing mice and tumors and (I) tumor weight and (J) volume after treatment.
4. Discussion
Nanoenzymes administered systemically often results in undesirable side effects and toxicity owing to their accumulation in non-tumor sites and the lack of drug selectivity [9,10,30]. Therefore, there is a substantial need for nanoenzymes delivery systems that can exclusively release nanoenzymes at tumor sites to decrease unwanted side effects and improve efficacy. The primary goal of this study was to develop a biomimetic nanoenzymes carrier platform with “wisdom”, which can intelligently distinguish tumor cells from normal tissue cells, and accurately release nanoenzymes at tumor sites. Promisingly, our intelligent design concept endows MSCintelligent with an extraordinary recognition capacity for tumors (Fig. 3A–F, and Fig. 5C and D). Its unique recognition structure and reflection structure can receive tumor signals and transform them into HSV-TK gene expression behavior (Fig. 2C). Subsequently, under the action of GCV, the MSCintelligent that recognizes the tumor will rupture and accurately release nanoenzymes at the tumor site.
The intelligence of MSCintelligent possesses several distinct features over traditional biomimetic nanoenzymes carrier platform such as cells, bacteria, and CAR-T. First, the chemotaxis of cells and bacteria carrier platforms to tumors depends on the recognition of chemokine released from the tumor by chemokine receptors on the cell surface [11,31]. However, the original role of these chemokine receptors is not to receive tumor signals. Therefore, they could not accurately distinguish whether chemokines derived from the tumor or inflammatory location. Which is just an idealized and rough combination between tumors and carrier platforms. But the stimulus source and feedback behavior of MSCintelligent are customized through artificial signaling pathway, which endows MSCintelligent ‘s behavior more explicit and predictable. Moreover, unlike traditional targeting strategies that increase local drug concentration, an intelligent biomimetic nanoenzyme carrier platform has preliminary “wisdom”, which can autonomously identify lesions and make the nanoenzyme only release/act on the tumor site. Second, although the CAR-T carrier platform can also couple the designated disease antigen signal with the synthesis of a natural T cell activation program [23,32,33]. However, its tumor binding mode is more similar to antigen binding to antibody. Hinge region and transmembrane domain only play the role of overcome steric hindrance and membrane localization, which cannot transmit tumor signals [33,34]. CAR-T change only the INPUT that the cell senses, the OUTPUT is still the full T cell activation program [23]. Whether antigen binding domain recognizes to tumor does not affect the behavior of CART, CART remains in the activated state even in normal tissue. In contrast, MSCintelligent is a nanoenzymes carrier platform with artificial intelligence, which can recognize and transform tumor signals into HSV-TK gene expression behavior (Fig. 2C). There is a logical connection between tumor signal and the behavior of MSCintelligent, which ensure that the behavior of MSCintelligent to feedback HSV-TK gene expression and nanoenzymes release nanoenzymes will exclusively occur at the tumor site. Finally, the intelligent program of MSCintelligent is replaceable. Therefore, we can replace the tumor type recognized by MSCintelligent and coupled feedback signals by replacing the Affibody-Notch(core) sequence in the recognition structure or the GAL4/UAS-HSV-TK sequence in the response structure. For example, replacing Affibody-Notch(core) with (PD-1, CTLA-4, CD19)-Affibody-Notch(core) enables MSCintelligent to recognize PD-1, CTLA-4, and CD19 positive tumors; Or replacing GAL4/UAS-HSV-TK with GAL4/UAS- (Glutathione Peroxidase) enable MSCintelligent to feedback glutathione peroxidase expression which enhances the antitumor effect of the nanoenzymes after recognizing the tumor signal.
In addition, the greatest challenge of the cell, bacteria, CAR-T carrier platforms is that the loaded nanoenzymes cannot be efficiently released after being transported to tumors, which may block the contact between nanoenzymes and tumor cells or tumor microenvironment and further impair the anti-tumor effects of nanoenzymes [11,12,31,32]. However, the intelligent program in MSCintelligent can convert tumor signals into HSV-TK expression, and then under the action of GCV, the MSCintelligent after recognizing tumors will be ruptured and nanoenzymes released. While in non-tumor sites, HSV-TK expression will not be initiated due to the unactivation of artificial signaling pathways in MSCintelligent, resulting in the unresponsiveness of MSCintelligent to GCV and inhibition of nanoenzymes release (Fig. 4A, B, and E). Consequently, MSCintelligent can not only effectively block the contact between nanoenzymes and normal tissue, but also realize the precise release of nanoenzymes in the tumor site. It is noteworthy that, despite undergoing intelligent modification, MSCintelligent still adheres to the internationally recognized standards for MSCs (Fig. S1). This establishes the groundwork for MSCintelligent to continue maintaining the original low immunogenicity of MSCs (Fig. S2), which can prevent nanoenzyme leakage caused by immune system attacks on MSCintelligent. In contrast, exogenous biomimetic platforms, such as bacteria, with high immunogenicity may lead to abnormal release of nanoenzymes.
In this study, CCFCB/MSCintelligent and Her2 (+) tumors are taken as examples to preliminarily demonstrate the intelligence of artificial signaling pathway in MSCintelligent. But the anti-tumor strength of MSCintelligent depends on the loaded nanoenzymes. We can change the anti-tumor ability of MSCintelligent by changing the type of nanoenzymes. And we hope that this intelligent program can be synergetically developed with various nanoenzymes in the future studies. Once a nanoenzymes that can cooperate with MSCintelligent feedback signal is developed, the anti-tumor effect of nanoenzymes/MSCintelligent will be further exerted. For example, the nanoenzymes can switch between toxic and non-toxic by interacting with the feedback signal in MSCintelligent, so that nanozymes can exert toxicity only at the tumor site. Overall, the intelligent biomimetic nanoenzymes carrier platform constructed by introducing artificial signaling pathway is a new design concept, which opens up a new direction for nanoenzymes-based tumor therapy.
CRediT authorship contribution statement
Yuliang Sun: Writing – review & editing, Writing – original draft, Software, Methodology, Investigation, Data curation, Conceptualization. Wenlong Zhang: Software, Project administration, Investigation, Data curation. Yilin Lu: Formal analysis, Data curation. Yanan He: Software, Project administration, Data curation. Badrul Yahaya: Writing – review & editing, Writing – original draft, Supervision, Software, Data curation. Yanli Liu: Methodology, Formal analysis, Data curation. Juntang Lin: Writing – review & editing, Writing – original draft, Validation, Supervision, Software, Formal analysis, Data curation, Conceptualization.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
This work was supported by the Science and Technology Tackling Key Project of Henan Province (222102310103) and Natural science Foundation of Henan Province(242300421199 and 235101610002).
Footnotes
Supplementary data to this article can be found online at https://doi.org/10.1016/j.mtbio.2024.101105.
Contributor Information
Badrul Yahaya, Email: badrul@usm.my.
Yanli Liu, Email: liuyanli198512@163.com.
Juntang Lin, Email: linjtlin@126.com.
Abbreviations
- MSCs
Mesenchymal stem cell
- MSCintelligent
Intelligent biomimetic nanoenzymes carrier platform
- Matrix metalloproteinase-2
Mmp-2
- Matrix metalloproteinase-9
Mmp-9
- L02
Human normal liver cell
- 293 T
Human renal epithelial cells
- BJ
Human skin fibroblasts
- Svog
Ovarian granulosa cells
- BT474
Human breast ductal carcinoma cells
- Skov3
Human ovarian cancer cells
Appendix A. Supplementary data
The following are the supplementary data to this article:
Data availability
Data will be made available on request.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
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Data Availability Statement
Data will be made available on request.






