Theranostics 2020; 10(14):6245-6260. doi:10.7150/thno.45456 This issue Cite
1. Key Laboratory of Biomaterials of Guangdong Higher Education Institutes, Department of Biomedical Engineering, Jinan University, Guangzhou 510632, China
2. Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
3. Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China
4. Institute of Life and Health Engineering, Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Jinan University, Guangzhou 510632, China
Although the enzyme catalytic nanoreactors reported so far have achieved excellent therapeutic efficacy, how to accurately exert enzyme activity in the tumor microenvironment to specifically kill tumor cells and avoid systemic oxidative damage would be an inevitable challenge for catalytic nanomedicine. At the present study, we fabricate an advanced biomimetic nanoreactor, SOD-Fe0@Lapa-ZRF for tumor multi-enzyme cascade delivery that combined specifically killing tumor cells and protect cells from oxidative stress.
Methods: We first synthesized the FeNP-embedded SOD (SOD-Fe0) by reduction reaction using sodium borohydride. Next, SOD-Fe0 and Lapa cargo were encapsulated in ZIF-8 by self-assembly. In order to protect the cargo enzyme from digestion by protease and prolong blood circulating time, SOD-Fe0@Lapa-Z was further cloaked with RBC membrane and functionalized with folate targeting, resulting in the final advanced biomimetic nanoreactor SOD-Fe0@Lapa-ZRF.
Results: Once internalized, ZIF-8 achieves pH-triggered disassembly in weakly acidic tumor microenvironment. The released SOD-Fe0 and Lapa were further endocytosed by tumor cells and the Lapa produces superoxide anion (O2-•) through the catalysis of NQO1 that is overexpressed in tumor cells, while O2-• is converted to H2O2 via SOD. At this time, the released ferrous ions from SOD-Fe0 and H2O2 are further transformed to highly toxic hydroxyl radicals (•OH) for specifically killing tumor cells, and there was no obvious toxicological response during long-term treatment. Importantly, SOD-Fe0@Lapa-ZRF enhanced the normal cell's anti-oxidation ability, and thus had little effect on the secretion of TNF-α, IL-6 and IL-1β pro-inflammatory cytokines, while effectively reversed the decreased activity of T-SOD and GSH-Px and remained stable MDA content after tumor treatment. In vitro and in vivo results indicate that the tumor microenvironment-responsive release multi-enzyme cascade have high tumor specificity and effective anti-tumor efficacy, and can protect cells from oxidative stress damage.
Conclusion: The biomimetic nanoreactor will have a great potential in cancer nanomedicine and provide a novel strategy to regulate oxidative stress.
Keywords: biomimetic nanoreactor, multi-enzyme cascade, ROS modulation, β-lapachone, superoxide dismutase
Despite significant progress in cancer diagnosis and treatment, it remains one of the leading causes of death [1-3]. Chemotherapy is the mainstay of clinical cancer treatment, but it is severely limited due to poor tumor selectivity and inevitable lethal side effects [4-6]. Lactic acidosis of solid tumors in the tumor microenvironment (TME) and the subsequent metabolic reprogramming accelerate tumor growth, migration, and invasion [7-10]. Therefore, the development of a drug delivery system (DDS) for acidic sensitivity of TME may be an alternative for improve the efficiency and selectivity of cancer therapeutics. In response to the acidic TME, chemodynamic therapy (CDT) relies on iron-based nanomaterials to dissolve ferrous ions under the mildly acidic TME and trigger Fenton reaction to catalyze hydrogen peroxide (H2O2) to generate highly toxic hydroxyl radicals (•OH), to achieve the purpose of killing tumor cells [11-13]. In fact, various DDSs have been developed and designed for tumor CDT . However, one of the most critical challenges and obstacles is that due to tumor heterogeneity, the catalytic efficiency and selectivity of the delivered Fenton reagent are insufficient to achieve specific killing of tumor cells and minimal side effects on normal tissues . In addition, CDT will inevitably produce excessive metabolic by-products reactive oxygen species (ROS). The oxidative stress caused by these excessive ROS leads to various adverse physiological consequences such as tissue damage , cancer , diabetes , aging  and neurodegenerative diseases . Therefore, it is urgent to develop a new DDS that specifically kills tumor cells and enhances the ability of anti-oxidative damage in normal cells.
The intracellular superoxide dismutase (SOD) an endogenous antioxidant enzyme, can reduce the free radical level produced by oxidative stress in normal cells, and then exert anti-inflammatory and anti-apoptotic effects, which may dramatically weaken the damage of oxidative stress on normal cells . Studies have shown that comparison with cancerous analysis of normal tissues showed that SOD levels were significantly down-regulated in many types of malignant tumors, such as breast cancer, lung, and melanoma [21, 22]. In addition, it has been found that increased expression of SOD can inhibit the malignant phenotypic progression of breast cancer cells and reduce the conversion of breast cancer cells to basal cells with the highest diffusion capacity [23-25]. When SOD was transfected into melanoma cells, cell colonies could not form in soft agar and nude mice, reducing the proportion of tumorigenic cells . Therefore, overexpression of SOD can reduce tumor cell growth, metastasis, and other malignant features, which is a potential tumor suppressor . This suggests the possibility of targeting SOD as a tumor-specific treatment strategy. In addition, the intracellular superoxide dismutase (SOD) can catalyzes superoxide radicals (O2-•) to produce H2O2 and molecular oxygen (O2) [27, 28], where the accumulated H2O2 further converts downstream into •OH, which is ideal •OH generator [29-31]. Therefore, introducing endogenous SOD into CDT as a •OH generator would be a multifunctional catalytic therapy strategy to specifically kill tumor cells by oxidative damage while protect normal tissues against oxidative stress, which would be remarkably attractive in cancer therapy.
Metal-organic framework (MOF) is an inorganic-organic porous composite formed by combining organic linkers with metal ion nodes, which has excellent biocompatibility, chemical stability and the capability of significantly tunable pore openings, and is used as basic building blocks for catalysis, sensors, biomedicine, etc [32-34]. In recent years, MOF provides many benefits for enzyme immobilization, enhancing enzyme stability and maintaining enzyme activity [35, 36]. However, the short blood half-life and lack of cancer targeting ability of MOF have severely hindered their medical application . Therefore, we introduced natural erythrocyte membranes into MOF nanoreactors of complex multi-enzyme cascades for designing more sensitive and stable advanced biomimetic nanoreactor.
Here, we designed pH-responsive biomimetic nanoreactor for tumor-specific CDT through multi-enzyme cascade. As shown in Scheme 1, the biomimetic nanoreactor SOD-Fe0@Lapa-ZRF utilized pH-responsive ZIF-8 as a stable support for the encapsulation of FeNP-embedded SOD (SOD-Fe0) and β-lapachone (Lapa), further followed by camouflaging with tumor targeting erythrocyte membrane. pH-responsive SOD-Fe0@Lapa-ZRF specifically kills tumor cells through multi-enzyme cascades, and could reduce oxidative damage to normal cells, avoiding undesired release of ROS. After internalization of tumor tissue, the nanoreactor degraded in tumor acidic microenvironment, resulting in rapid release of loaded SOD-Fe0 and Lapa and further endocytosis by the tumor cells. Lapa can produce sufficient O2-• under the catalysis futile redox cycles of NAD(P)H:quinone oxidoreductase-1 (NQO1) enzyme, which is overexpressed 100-fold in tumor cells than normal cells [38-40]. It has been found that overexpression of NQO1 in breast cancer cells promotes the invasion and/or metastasis related behaviors, which may be key to developing specific inhibitors that target NQO1 signaling [41-43]. Then, the generated O2-• was further translated to H2O2 through the SOD-mediated catalysis reaction. On the other hand, FeNP of SOD-Fe0 could be rapidly ionized in tumor acidic environment to release considerable amount of reactive ferrous ions Fe2+ in cancer cells. Subsequently, the released Fe2+ further catalyzed H2O2 to highly toxic hydroxyl radicals via a Fenton-like reaction [44, 45], resulting in oxidative damage of tumor cells, thereby specifically killing tumor cells. Moreover, FeNP cannot catalyze hydrogen peroxide under neutral pH conditions, thereby interrupting the cascade •OH generation, and SOD as an antioxidant enzyme has enhanced free radical scavenging ability, which helps reduce oxidative damage to normal cells. This multi-enzyme cascade biomimetic nanoreactor provides a promise strategy to developing tumor-specific CDT for the treatment of various malignancies and the regulation of prognostic oxidative stress.
Schematic illustration of an Advanced Biomimetic Nanoreactor specifically killing tumor cells at the tumor tissue and its against oxidative stress in normal cells. (A) Synthetic procedure for SOD-Fe0@Lapa-ZRF nanoreactor. (B) After intravenous injection, SOD-Fe0@Lapa-ZRF are accumulated in tumor tissues and internalized by cancer cells. SOD-Fe0@Lapa-ZRF achieves pH-triggered disassembly in weakly acidic tumor microenvironment, resulting in rapid release of SOD-Fe0 and Lapa, and then produces a highly toxic •OH through a multi-enzyme cascade to specifically kill tumor cells. (C) In normal cells, SOD-Fe0@Lapa-ZRF adjusting the level of antioxidants and against oxidative stress and protect the body from oxidative stress damage. Lapa-ZRF causes oxidative stress in vivo.
According to previous reports, we first synthesized the FeNP-embedded SOD (SOD-Fe0) by reduction reaction using sodium borohydride. The morphology and diameter of SOD-Fe0 (Figure 1A) were optimized by adjusting the concentration proportion of SOD and ammonium ferrous sulfate. The hydrodynamic size of SOD-Fe0 was 18 nm (Figure 1a4 and S1a), and the Zeta potential of SOD-Fe0 was similar to that of the original SOD, (Figure S1b). The content of Fe in SOD-Fe0 was quantified by BCA protein assay kit and inductively coupled plasma mass spectrometry (ICP-MS). And the coupling amount of Fe was 277.8 μg/mg, thereby confirming that FeNP was successfully embedded in SOD. In addition, circular dichroism (CD) spectroscopy showed that the secondary structure of SOD in SOD-Fe0 was correlated with that of the original SOD (Figure S2), which indicated that SOD-Fe0 should have similar enzymatic activity as SOD enzyme. Next, SOD-Fe0 and Lapa were simultaneously immobilized in ZIF-8 by a co-precipitation procedure in aqueous solution. The transmission electron microscopy (TEM) (Figure S3a) and scanning electron microscope (SEM) (Figure S3b) images exhibited that the ZIF-8 had uniform internal structure and smooth surface. However, the TEM images of SOD-Fe0 and Lapa-coloaded ZIF-8 nanocomposite (SOD-Fe0@Lapa-Z) showed that the internal structure became heterogeneous (Figure 1B), while the surface got rougher (Figure S4). The average diameters of ZIF-8 and SOD-Fe0@Lapa-Z were 149 ± 7.8 nm and 176 ± 6.3 nm (Figure S5), respectively. And the zeta potentials were 22 and -6.1 mV (Figure S1b), respectively.
The crystal structure of SOD-Fe0@Lapa-Z and pure ZIF-8 was examined by X-ray diffraction (XRD) measurements (Figure 1E). The XRD patterns revealed that SOD-Fe0@Lapa-Z exhibited the space group I-43m in the overlapped XRD spectrum of pure ZIF-8. The Fourier transform infrared spectroscopy (FTIR) of SOD-Fe@Lapa-Z showed the adsorption bands at around 1650 and 1542 cm-1 which were attributed to amide I (C=O stretching mode) and amide II (combination between of N-H bending and C-N stretching modes) of SOD . And the peaks in the 1681-1810 cm-1 region and 1361 cm-1 was assigned to carbonyl groups (C=O) and methyl (C-H of -CH3) of Lapa (Figure 1F). Importantly, the loading efficiency of SOD-Fe0 and Lapa in the ZIF-8 were evaluated and reached up to 23% and 9.9%, respectively. These results suggested the successful encapsulation of SOD-Fe0 and Lapa in ZIF-8. In addition, the nitrogen adsorption/desorption study was performed to characterize the surface area and porosity of ZIF-8 and SOD-Fe0@Lapa-Z. As shown in Figure 1G and 1H, samples ZIF-8 and SOD-Fe0@Lapa-Z both displayed type I isotherms. However, the Brunauer-Emmett-Teller (BET) surface area of 1191.9 m2 g-1 for SOD-Fe@Lapa-Z was slightly less than that of ZIF-8 (1434.6 m2 g-1). Moreover, the corresponding pore volume of SOD-Fe@Lapa-Z (0.59 cm3 g-1) was lower than that of ZIF-8 (0.67 cm3 g-1). These data indicated that the encapsulated SOD-Fe0 and Lapa had slight influence to the porous structure of ZIF-8.
Characterizations of SOD-Fe0@Lapa-ZRF. (A) TEM image of SOD. TEM image of SOD-Fe under ammonium ferrous sulfate concentrations of (a2) 1.25 mmol, (a3) 0.62 mmol, and (a4) 0.31 mmol. TEM image of SOD-Fe0@Lapa-Z (B), and SOD-Fe0@Lapa-ZRF were incubated at pH 7.4 (C) and 6.5 (D). (E) XRD patterns of SOD-Fe0@Lapa-Z, ZIF-8 and Simulated ZIF-8. (F) FTIR spectra of SOD-Fe0@Lapa-Z, ZIF-8, SOD-Fe0 and Lapa. (G) Nitrogen sorption isotherms for ZIF-8 and SOD-Fe0@Lapa-Z. (H) The pore-size distributions of ZIF-8 and SOD-Fe0@Lapa-Z. (I) Sizes change of SOD-Fe0@Lapa-ZRF in PBS buffer, DMEM, and serum within 7 days.
In order to protect the cargo enzyme from digestion by protease and prolong blood circulating time, SOD-Fe0@Lapa-Z was further cloaked with RBC membrane as previously reported [47, 48]. This RBC membrane-cloaked SOD-Fe0@Lapa-Z (SOD-Fe0@Lapa-ZR) was further functionalized with folate targeting, resulting in the final advanced biomimetic nanoreactor SOD-Fe0@Lapa-ZRF. In contrast to SOD-Fe0@Lapa-Z (Figure 1B and Figure S4), SOD-Fe0@Lapa-ZRF showed an obvious core-shell structures under TEM with an average size of 190 ± 8.7 nm (Figure 1C and Figure S4). Upon the RBC membrane coating, it was found that the zeta potential of SOD-Fe0@Lapa-ZRF changed from -6.1 to -11.3 mV (Figure S1), comparable to that of SOD-Fe0@Lapa-Z. To further evidence the RBC camouflaging, RBC membranes and SOD-Fe0@Lapa-Z were labeled with Cy3 (red fluorescence) and FITC (green fluorescence), respectively. After that, their fusion was observed by confocal microscopy. The fluorescence images confirmed that the obvious overlap of yellow fluorescent signals derived from Cy3 and FITC in SOD-Fe0@Lapa-ZRF (Figure S6). These results indicated the successful RBC membrane cloaking on the surface of SOD-Fe0@Lapa-Z. Similarly, the TEM image also showed that the morphology of SOD-Fe0@Lapa-ZRF changed, the erythrocyte membrane ruptured and the nanoparticles were degraded at pH 6.5 (TME) (Figure 1D). In addition, we measured in vitro stability of SOD-Fe0@Lapa-ZRF under biological environment. As shown in Figure 1I, SOD-Fe0@Lapa-ZRF could maintain stable nanosize in phosphate-buffered saline (PBS) (pH 7.4) buffer, DMEM and serum solutions within 7 days, indicating the potential application of SOD-Fe0@Lapa-ZRF in vivo. These results indicated that SOD-Fe0@Lapa-ZRF undergo a significant dimensional change from physiological environment (pH 7.4) to tumor microenvironment (pH 6.5), indicating that SOD-Fe0@Lapa-ZRF has potential application value in tumor treatment.
An ideal carrier should control release its cargo under specific conditions, such as low pH in the tumor microenvironment [49, 50]. It is well known that metal-ligand bonds in ZIF-8 are stable under physiological conditions (pH ≈ 7.4), but are easily degraded under acidic conditions [51-53]. To examine the effect of the pH-sensitive ZIF-8 on drug release of SOD-Fe0@Lapa-ZRF, the ferrous ions and Lapa release behaviors were measured at different pH. As shown in Figure 2B and C, there was strikingly slow release of ferrous ions and Lapa at pH 7.4, reaching up to 18.9% ferrous ions and 9.4% Lapa within 36 h. It indicated the excellent stability of the biomimetic nanoreactor. In contrast, the release rates of Fe2+ and Lapa at pH 6.5 reached 59.6 and 61.2% within 36 h, and that were 72.4 and 78.2% at pH 5.4 within 36 h, respectively. These results indicate that pH-induced decomposition of SOD-Fe0@Lapa-ZRF accelerated the release of ferrous ions and Lapa, demonstrating its potential to tumor-specific treatment application.
We investigated the multi-enzyme cascade catalytic activity of SOD-Fe0@Lapa-ZRF (Figure 2A). The 3, 3′, 5, 5′-tetramethylbenzidine (TMB) was used to measure the production of •OH to investigate the peroxidase-like activity of SOD-Fe0@Lapa-ZRF. The colorless TMB could be oxidized to chromogenic TMB cation radicals by Fe2+ in acidic condition, showing a strong absorbance of the oxidation product at 653 nm. Based on the aforementioned principles, the catalytic capability of Fe2+ in SOD-Fe0@Lapa-ZRF was investigated by using H2O2 and TMB as substrates through Michaelis-Menten steady-state kinetics (Figure 2E-G). According to the Lineweaver-Burke plotting, the Michaelis-Menten constant (Km) and maximum velocity (Vmax) were obtained. The Km and Vmax of SOD-Fe0@Lapa-ZRF were calculated to be 1.82 mM and 3.35 × 10-8 M s-1. Moreover, we also measured the capability of generating •OH of SOD-Fe0@Lapa-ZRF by the hydroxylation of terephthalic acid (TPA). From Figure S7, the TPA molecule mixed with the solution of SOD-Fe0@Lapa-ZRF and H2O2 showed the remarkably enhanced emission from TPA-OH at pH 5.4 and 6.5, relative to at pH 7.4. These results indicated that SOD-Fe0@Lapa-ZRF effectively produced •OH by Fenton reaction and exhibited peroxidase-like activity. In addition, we further evaluated the enzymatic activity of SOD in SOD-Fe0@Lapa-ZRF by using inhibiting pyrogallol autooxidation through UV-Vis spectroscopy . As shown in Figure 2D, the SOD within SOD-Fe0 retained 95.1 and 92.7% enzyme activity under pH 7.4 and pH 5.4, respectively, relative to the pure SOD. However, it is worth noting that the SOD in SOD-Fe0@Lapa-ZRF retained 29.1% and 90.5% of the enzyme activity of pure SOD at pH 7.4 and 5.4, respectively. These results indicated that under neutral condition, the stable encapsulation of SOD-Fe0 in ZIF-8 reduced the enzyme activity of SOD from SOD-Fe0@Lapa-ZRF, but with the pH-responsive release of SOD in the acidic condition, the excellent enzyme activity of SOD was re-triggered.
To further clarify the multi-enzyme cascade catalytic ability of SOD-Fe0@Lapa-ZRF, we subsequently examined the •OH generation efficiency in 4T1 breast cancer cells. 2′, 7′-dichlorofluorescein diacetate (DCFH-DA) as ROS detection probe was used, which could be rapidly oxidized to green fluorescence dichlorofluorescein (DCF). As shown in Figure S8, both SOD-Fe0@Lapa-Z and SOD-Fe0@Lapa-ZR effectively increased the ROS levels compared with the control, SOD-Fe0 and Lapa group. Moreover, SOD-Fe0@Lapa-ZRF induced the highest ROS level, rising to 268% ROS level at 120 min. However, the •OH generation by SOD-Fe0@Lapa-ZRF was significantly suppressed when the cells were pretreated with the NQO1 inhibitor of dicoumarol (DIC), decreasing to 152% ROS level within the same time. Meanwhile, the intracellular •OH generation was monitored using confocal laser scanning microscopy (CLSM) (Figure 2H). SOD-Fe0@Lapa-ZRF group exhibited more enhanced DCF fluorescence than the other groups. However, after adding DIC, SOD-Fe0@Lapa-ZRF group showed remarkable fluorescence decrease. The result further confirmed that SOD-Fe0@Lapa-ZRF selectively produced •OH in tumor cells via pH-responsive degradation and multi-enzyme catalytic cascades.
The excellent biocompatibility of nanocarriers is an important index for clinical medical applications [55-57]. Previous studies have shown that the self-marker CD47 on the RBC surface can effectively inhibit macrophage phagocytosis by interacting with protein-alpha (SIRP-α) receptors [58, 59]. Therefore, it was investigated whether RBC membrane cloaking had anti-phagocytosis ability by incubating RAW 264.7 murine macrophage-like cells with SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR and SOD-Fe0@Lapa-ZRF. As shown in Figure S9a, the macrophage uptake rate of SOD-Fe0@Lapa-Z gradually increased, whereas the phagocytic capacity of SOD-Fe0@Lapa-ZR and SOD-Fe0@Lapa-ZRF decreased significantly, confirming that RBC membrane camouflage had a favorable ability to evade macrophage phagocytosis. Furthermore, the blood retention of SOD-Fe0@Lapa-ZRF was measured to assess their pharmacokinetic profile. As shown in Figure S9b, the blood concentration of SOD-Fe0@Lapa-Z was 4.43% ID g-1 (percentage injected dose per gram) 48 h postinjection. Notably, SOD-Fe0@Lapa-ZR and SOD-Fe0@Lapa-ZRF improved blood retention, showing approximately 12.9% and 13.3% of ID g-1 still in the blood circulation due to RBC membrane camouflage. These results indicated that the excellent blood circulation characteristics of SOD-Fe0@Lapa-ZRF provided a powerful guarantee for its in vivo application.
Multi-enzyme cascade reactions in SOD-Fe0@Lapa-ZRF. (A) Illustration of the multi-enzyme cascade biomimetic nanoreactor for catalysis. The ferrous ion (B) and Lapa (C) release from SOD-Fe0@Lapa-ZRF at various pH. (D) The relative enzymatic activity of SOD, SOD-Fe0, SOD-Fe0@Lapa-Z, and SOD-Fe0@Lapa-ZRF at various pH. (E) Time-course absorbance of SOD-Fe0@Lapa-ZRF at varied H2O2 concentrations. (F) Michaelis-Menten kinetics and (G) Lineweaver-Burk plotting of SOD-Fe0@Lapa-ZRF. (H) CLSM images of ROS levels in 4T1 cells treated with different agents without or with dicoumarol. The scale bar is 50 µm.
During the blood circulation, due to the non-specificity of the nanoparticles, they are easily recognized and phagocytized by normal cells, tissues and organs to cause allergy or hypersensitivity reactions and produce pro-inflammatory cytokines . Hence, the blood samples were collected within 72 h after i.v injection of different samples in female BALB/c mice, and the levels of the inflammatory cytokines including tumor necrosis factor alpha (TNF-α), interleukin-6 (IL-6) and Interleukin-1 beta (IL-1β) were detected by ELISA. As shown in Figure S10, compared with the control group, Lapa-Z significantly up-regulated the secretion of TNF-α, IL-6 and IL-1β pro-inflammatory cytokines, increasing by 108.6%, 204.5%, and 217.7%, respectively. Compared to Lapa-Z, SOD-Fe0@Lapa-Z showed less inflammatory response. Moreover, SOD-Fe0@Lapa-ZRF had little effect on the secretion of these three cytokines. This indicated that the camouflage of RBC membrane and the introduction of SOD-Fe0 reduced the interaction between Lapa-Z and normal cell, effectively avoiding the inflammatory response in vivo and avoids damage to normal tissues.
We investigated the cellular uptake of FITC-labeled SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR and SOD-Fe 0@Lapa-ZRF in 4T1 cells. As shown in Figure 3B and Figure S11, SOD-Fe0@Lapa-ZRF with folate targeting exhibited higher cellular uptake in 4T1 than those of SOD-Fe0@Lapa-ZRF and SOD-Fe0@Lapa-Z. Moreover, the uptake of SOD-Fe0@Lapa-ZRF increased in a time-dependent manner. At 12 h, the cellular uptake of SOD-Fe0@Lapa-ZRF, SOD-Fe0@Lapa-ZR and SOD-Fe0@Lapa-Z were 61.6%, 41.5% and 43.3%, respectively. We further studied the retention time and distribution of SOD-Fe0@Lapa-ZRF in 4T1 cells by using confocal laser scanning microscopy (CLSM). Nuclei and lysosomes were fluorescently stained with Hoechst 33342 (blue) and Lyso Tracker (red). As shown in Figure S12, the colocalization of red and green fluorescence after treatment for 2 h indicated that the lysosome is the main intracellular target of SOD-Fe0@Lapa-ZRF. After 8 h of continuous internalization, most of green fluorescence from SOD-Fe0@Lapa-ZRF gradually penetrated into the whole cytoplasm through “proton sponge effect”. These results indicated that SOD-Fe0@Lapa-ZRF selectively uptakes 4T1 cells through receptor-mediated endocytosis.
In vitro studies had demonstrated that SOD-Fe0@Lapa-ZRF efficiently produced •OH by multi-enzyme cascade catalytic reaction. Next, we investigated whether SOD-Fe0@Lapa-ZRF could specifically kill tumor cells by inducing tumor cell oxidative damage (Figure 3A). Hence, the cytotoxicity of different formulations in NQO1 overexpressing 4T1 cancer cells was investigated by using Cell Counting Kit-8 (CCK-8) assay. 4T1 cells were incubated with different concentrations of ZIF-8 and folate-modified red blood cell membrane-cloaked ZIF-8 (ZRF). As expected, ZIF-8 and ZRF did not show significant cytotoxicity to 4T1 cells within 24 h. Even at up to 80 μg/mL doses of ZIF-8, cell viability was still more than 65% (Figure 3C). Besides, the cell viability exhibited negligible decrease when cells were treated with SOD-Fe0 (Figure 3D). Similarly, with increasing concentrations of Lapa and Lapa-loaded ZIF-8 (Lapa-Z) (<1.5 μg/mL), no significant decrease of cell viability was observed. However, we found that SOD-Fe0@Lapa-Z and SOD-Fe0@Lapa-ZR showed dose-dependent toxicity to 4T1 cells with IC50 of 1.46 and 1.41 μg·mL-1, respectively, indicating that the cytotoxicity of SOD-Fe0@Lapa-Z and SOD-Fe0@Lapa-ZR on 4T1 cancer cells originated from oxidative damage of •OH by multiple enzyme cascades catalysis (Figure 3E). It is worth noting that the 4T1 cells treated with SOD-Fe0@Lapa-ZRF induced significantly higher cytotoxicity with an IC50 of only 0.91 μg mL-1, further confirming that the ability of SOD-Fe0@Lapa-ZRF to specifically kill tumor cells.
To observe the distribution of viable and dead cells, 4T1 cancer cells were stained with calcein AM (green) and propidium iodide (PI) (red) to identify live and dead/late apoptotic cells. As shown in Figure 3F, most cells of control group exhibited strong green fluorescence. However, much more red fluorescence was observed in SOD-Fe0@Lapa-Z and SOD-Fe0@Lapa-ZRF groups than that in SOD-Fe0 and Lapa groups. Furthermore, the SOD-Fe0@Lapa-ZRF group showed the most significant cytotoxicity, and the cell staining results were well matched to the cell viability assay results. Notably, the cell death was significantly reduced in the SOD-Fe0@Lapa-ZRF plus the NQO1 competitive inhibitor dicoumarol (DIC, 60 μM) group, which was attributed to the fact that DIC-induced NQO1 inhibition prevented Lapa to produce O2-•. And it further confirmed that NQO1 was essential for the production of •OH by multi-enzyme cascades. In addition, the cytotoxicity mechanism was examined by flow cytometry analysis using annexin V-FITC and propidium iodide (PI) double staining. The results showed that compared with the control, SOD-Fe0 and Lapa groups, the levels of apoptosis increased in the cells treated with SOD-Fe0@Lapa-Z and SOD-Fe0@Lapa-ZR, showing the apoptosis rates of 36.58 and 34.32% (Figure 3G), respectively. In contrast, the SOD-Fe0@Lapa-ZRF group induced the most significant apoptosis in 4T1 cells (49%). In addition, the introduction of DIC remarkably reduced the level of apoptosis in 4T1 cells, again indicating that SOD-Fe0@Lapa-ZRF selectively exerts therapeutic activity in tumor cells with high NQO1 expression through multi-enzyme cascade catalytic reaction.
Fibroblasts at the tumor site, as well as high concentrations of collagen, polysaccharides and other extracellular matrix environments are major obstacles to the diffusion of nanoparticles . Studies have shown that small size nanoparticles can improve tumor penetration capability. To assess the tumor penetration of SOD-Fe0@Lapa-ZRF, 4T1 cells multicellular tumor spheres (MCTS) were cultured to mimic solid tumors in vitro. Tumor spheres were treated with FITC-labeled SOD-Fe0@Lapa-ZR and SOD-Fe0@Lapa-ZRF for 12 h, and the penetration was observed by using CLSM. As shown in Figure S13a, at pH 7.4, the fluorescence signal of SOD-Fe0@Lapa-ZRF was mainly confined to the superficial MCTS. In contrast, under acidic conditions (pH 6.5), SOD-Fe0@Lapa-ZRF group showed significantly enhanced FITC fluorescence throughout the tumor sphere. However, the penetration of SOD-Fe0@Lapa-ZR was primarily localized at the edge of the tumor sphere at pH 6.5. This result demonstrated that tumor acid environment triggered degradation of the ZIF-8 effectively released the small nanosize SOD-Fe0 (18 nm), remarkably improving penetration ability.
In Vitro Induced Oxidative Damage to Tumor Cells by SOD-Fe0@Lapa-ZRF. (A) Schematic illustration of cancer cells redox levels under the action of SOD-Fe0@Lapa-ZRF. (B) The cellular uptake of FITC-loaded SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR, and SOD-Fe0@Lapa-ZRF in 4T1 cells. (C) 4T1 cells viability after treated with ZIF-8 and ZRF for 24 h. (D) 4T1 cells viability after incubation with SOD-Fe0, Lapa, and Lapa-Z for 24 h, as determined by CCK-8 assays. (E) Cytotoxic effect of SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR, and SOD-Fe0@Lapa-ZRF on 4T1 cells. (F) CLSM images of calcein-AM/PI stained 4T1 cell after incubation with different agents. The scale bar is 100 μm. (G) Apoptosis analysis of 4T1 cells induced by SOD-Fe0, Lapa, SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR, and SOD-Fe0@Lapa-ZRF with or without dicoumarol, and detected by flow cytometry. Data are shown as mean ± SD (n = 3). **p < 0.01.
As shown in Figure S13b, SOD-Fe0@Lapa-Z group exhibited relatively weak fluorescent signals in the tumor region. In contrast, the fluorescence signal of SOD-Fe0@Lapa-ZRF group in tumor tissue was stronger than the SOD-Fe0@Lapa-ZR group after 4 h postinjection, indicating the significant tumor targeting ability of SOD-Fe0@Lapa-ZRF. Then, mice were sacrificed at 24 h postinjection, and tumors and major organs were collected for ex vivo imaging. The fluorescent signal of SOD-Fe0@Lapa-ZRF distributed in tumor tissues was significantly higher than that of other organs (Figure S13c). Semiquantitative data showed that the fluorescence intensity of SOD-Fe0@Lapa-ZRF at tumor site was approximately 2.42- and 1.44-fold higher than that of SOD-Fe0@Lapa-Z and SOD-Fe0@Lapa-ZR (Figure S13d), respectively.
Following the promising results of tumor spheroids penetration and in vivo delivery, we further explored the ability of tumor deep penetration of SOD-Fe0@Lapa-ZRF. Tumor blood vessels and tumor hypoxic regions were stained with anti-CD31 and anti-HIF-1α antibodies. As shown in Figure S13e and S13f, the green fluorescence of SOD-Fe0@Lapa-ZRF spread more widely from tumor blood vessels than that of SOD-Fe0@Lapa-Z and SOD-Fe0@Lapa-ZR. The weak signals of SOD-Fe0@Lapa-Z and SOD-Fe0@Lapa-ZR were attributed to relatively low tumor accumulation. It is worth noting that the penetration ability of SOD-Fe0@Lapa-ZRF enhanced the potential to reach hypoxic areas after extravasation from the blood vessels, while the penetration depth of SOD-Fe0@Lapa-Z and SOD-Fe0@Lapa-ZR were limited. This was mainly due to that the degradation of SOD-Fe0@Lapa-ZRF into small nanosize SOD-Fe0 under acidic conditions, which significantly enhanced the accumulation of nanoparticle in farther distance from the tumor blood vessels and within the tumor hypoxia areas. These results confirmed that the size reduction of SOD-Fe0@Lapa-ZRF under slightly acidic tumor microenvironment had remarkable advantage to deliver SOD-Fe0 and Lapa to deep tumors, thereby increasing the efficiency of accurately exerting the enzyme activity at the tumor site.
Inspired by excellent in vitro and in vivo performance, we further evaluated the antitumor activity of SOD-Fe0@Lapa-ZRF in 4T1 tumor xenograft model (Figure 4A). Once the tumor grew to 100 mm3, the BALB/c mice were randomly divided into 5 groups. The mice were intravenously injected with saline, SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR, Lapa-ZRF or SOD-Fe0@Lapa-ZRF every 3 days (n = 5). The equivalent dose of SOD-Fe and Lapa was set to 2 mg kg-1 and 4.5 mg kg-1, respectively, in each injection. Compared with the control group, the mice injected with SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR and Lapa-ZRF showed some therapeutic effects. Particularly, SOD-Fe0@Lapa-ZRF resulted in more pronounced inhibition of tumor growth than other groups (Figure 4D, 4E), which was mainly due to the specific oxidative damage induced by SOD-Fe0@Lapa-ZRF in tumor sites. Moreover, SOD-Fe0@Lapa-ZRF group (71.6% TIR) achieved a higher tumor inhibition rate (TIR) than that of Lapa-ZRF group (35.5% TIR), further emphasizing the important role of SOD-Fe0 in the multi-enzyme cascade catalysis (Figure 4C). Importantly, Lapa-ZRF treated mice showed weight loss compared to SOD-Fe0@Lapa-ZRF group, suggesting that SOD of SOD-Fe0@Lapa-ZRF could effectively reverse the potential systemic damage by oxidative stress (Figure 4D). In addition, necrosis and apoptosis analysis were performed by stained tumor sections with hematoxylin and eosin (H&E) and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) (Figure 4F). Compared with the control group, the cell density in the tumor tissue was severely decreased after administration of SOD-Fe0@Lapa-ZRF, showing the typical apoptotic feature of severe vacuolization. Moreover, the TUNEL results also confirmed that SOD-Fe0@Lapa-ZRF induced a large number of cell apoptosis in tumor tissues compared to other nanoformulations. These results demonstrated that the multi-enzyme cascade biomimetic nanoreactor SOD-Fe0@Lapa-ZRF could accurately play a cascade catalytic role in the tumor microenvironment to specifically induce oxidative damage in 4T1 tumors.
Although the enzyme catalytic nanoreactors reported so far have achieved excellent therapeutic efficacy, how to accurately exert enzyme activity in the tumor microenvironment and protect the body avoiding oxidative damage would be an inevitable challenge for catalytic medicine. At the present study, we fabricated an enzyme catalytic delivery system that could induced tumor oxidative damage through multi-enzyme cascade. Next, we investigated whether SOD-Fe0@Lapa-ZRF could against oxidative stress and protect normal cells from oxidative stress damage (Figure 5A). After all mice were euthanized, blood and primary organs were collected for blood biochemical and histological analysis to assess the systemic damage of the advanced biomimetic nanoreactor. As shown in Figure S14b, the white blood cell (WBC) and platelet (PLT) hematological indexes of mice treated with Lapa-ZRF showed a significant increase compared with SOD-Fe0@Lapa-ZRF group, indicating that certain inflammation and hematological toxicity in the mouse. Furthermore, as shown by the hepatic function markers (alanine aminotransferase (ALT), alkaline phosphatase (ALP), renal function markers (creatinine (CR), and uric acid (UA) indexes, SOD-Fe0@Lapa-ZRF could reverse liver and kidney damage caused by acute inflammation (Figure 5B-E). Moreover, in histological analysis, no obvious damage was found in the main organs of mice treated with SOD-Fe0@Lapa-ZRF (Figure S14a). The results showed that SOD-Fe0@Lapa-ZRF could effectively reverse the acute inflammation and liver and kidney damage caused by Lapa-ZRF after tumor treatment.
Moreover, we also monitored total superoxide dismutase (T-SOD), malondialdehyde (MDA, Lipid peroxide) and glutathione peroxidase (GSH-Px, Peroxidase) levels in the liver to evaluate the effect of SOD-Fe0@Lapa-ZRF to antioxidation indicators. Compared with healthy mice group (60.4 U mg-1 T-SOD and 9.22 mU mg-1 GSH-Px), the levels of T-SOD and GSH-Px in the liver of tumor-bearing mice decreased significantly (39.1 U mg-1 T-SOD and 7.22 mU mg-1 GSH-Px). This illustrated the high oxidative stress in tumor-bearing mice. As shown in Figure 5F and 5H, after different treatments, the T-SOD and GSH-Px levels in the Lapa-ZRF group were still low (43.1 U mg-1 T-SOD and 5.73 mU mg-1 GSH-Px), which could cause oxidative damage to the body. However, the SOD-Fe0@Lapa-ZRF group effectively reversed the decreased activity of T-SOD and GSH-Px (68.48 U mg-1 and 11.41 mU mg-1, respectively) after tumor treatment, which was higher than that in healthy mice. At the same time, compared with the healthy mice group, the MDA content remained stable without significantly fluctuate in the SOD-Fe0@Lapa-ZRF groups after treatment (Figure 5G). These results consistently indicated that SOD-Fe0@Lapa-ZRF will not cause damage to normal tissues, can effectively reduce oxidative stress in vivo and is an effective and safe strategy for cancer treatment.
Oxidative Damage Induced by of SOD-Fe0@Lapa-ZRF in 4T1 tumor-bearing mice. (A) Schematic illustration of 4T1 tumor xenograft establishment and treatment process. (B) Tumor growth curves were monitored over the treatments. (C) Tumor weights of each group after treatment and tumor inhibition rate (IRT). (D) Body weight changes of mice during the treatment periods. (E) The representative photographs of resected tumors at the end of experiment. The scale bar is 5 mm. (F) Images of H&E staining and TUNEL assay of tumor sections after different treatments. The H&E scale bars represent 100 µm, The TUNEL scale bars represent 200 µm. Data are shown as mean ± SD (n = 3). **p < 0.01.
We fabricate the advanced biomimetic nanoreactor, SOD-Fe@Lapa-ZRF for tumor specific multi-enzyme cascade delivery that combines the redox-function of SOD-Fe0 enzyme: oxidative damage in tumor tissue and anti-oxidation protection in normal tissue. Once internalized in tumor cell, the released Lapa produces O2-• through the catalysis of NQO1, while O2-• is converted to H2O2 via SOD. At this time, the released ferrous ions from SOD-Fe0 and hydrogen peroxide are further transformed to highly toxic •OH for cancer therapy. However, when the 4T1 tumor cells were pretreated with the NQO1 inhibitor of DIC, the •OH production by SOD-Fe0@Lapa-ZRF was significantly inhibited (Figure 2H), and cell death was significantly reduced (Figure 3F, G). This was mainly because the reduction of NQO1 hinders Lapa from producing O2-•, thereby inhibiting the multi-enzyme cascade. This indicated that SOD-Fe0@Lapa-ZRF can only produce •OH by multi-enzyme cascade and specifically kill tumor cells in tumor acidic environment with high expression of NQO1. However, in addition to low expression of NQO1 in normal tissue, FeNP cannot catalyze hydrogen peroxide under neutral pH conditions, thereby interrupting the cascade •OH generation, and SOD as an antioxidant enzyme has enhanced free radical scavenging ability, which helps reduce oxidative damage to normal cells, effectively reversing the decreased activity of T-SOD and GSH-Px. In short, SOD-Fe0@Lapa-ZRF showed excellent ability to specifically kill tumor cells, and to regulate oxidative stress and protect cells from oxidative stress damage.
The prognostic against oxidative stress studies of SOD-Fe0@Lapa-ZRF. (A) Schematic illustration of normal cells redox levels under the action of SOD-Fe0@Lapa-ZRF. liver function index, ALT (B), ALP (C); and kidney function index, CR (D), UA (E). Antioxidant efficacy of SOD-Fe0@Lapa-ZRF on mice, (F) T-SOD, (G) MDA, and (H) GSH-Px. Data are shown as mean ± SD (n = 3). *p < 0.05, **p < 0.01 and **p < 0.01.
In summary, we have developed a biomimetic nanoreactor SOD-Fe0@Lapa-ZRF for specifically kill tumor cells via the multi-enzyme cascades, which generated a large number of •OH in the tumor microenvironment and could also increase the body's antioxidant index to against antioxidant stress. In acidic tumor environment, SOD-Fe0@Lapa-ZRF effectively disassembled, and the released enzyme and Lapa were further endocytosed by tumor cells. The released Lapa could increase the O2-• levels in cancer cells by NQO1 catalysis, further converting O2-• to H2O2 by SOD-mediated cascade reaction. Meantime, SOD-Fe0 could release ferrous ions in acidic intracellular environment. Subsequently, ferrous ions catalyzed H2O2 to decompose into highly toxic •OH in cancer cells through Fenton reaction, which specifically killing tumor cells, and there was no obvious toxicological response during long-term treatment. Importantly, SOD-Fe0@Lapa-ZRF enhanced the normal cell's anti-oxidation ability, and thus had little effect on the secretion of TNF-α, IL-6 and IL-1β pro-inflammatory cytokines, while effectively reversed the decreased activity of T-SOD and GSH-Px and remained stable MDA content after tumor treatment. The results in vitro and in vivo demonstrated that this multi-enzyme cascade biomimetic nanoreactor provided a novel approach to improve antitumor efficacy and protects normal cells from oxidative damage, exhibiting thus a great promise in future biomedical research.
Zinc nitrate hexahydrate (Zn(NO3)2·6H2O) was supplied by Saen Chemical technology Co., Ltd. 2-methylimidazole (HMIM) was bought from Tokyo Chemical Industry Co., Ltd. β-Lapachone (Lapa) was purchased from Dalian Meilun Biotechnology Co., LTD. Folic acid-PEG-DSPE was obtained from ToYongBio Co., Ltd., Shanghai, China. Ammonium iron (II) sulfate and sodium borohydride (NaBH4) were purchased from Sigma-Aldrich Corp. Dicoumarol and terephthalic acid (TPA) was supplied by Shanghai Macklin Biochemical Co., Ltd. Superoxide dismutase (SOD) weas purchased from Shanghai Ryon Biological technology Co., Ltd. Sodium hydroxide and Dimethyl sulfoxide (DMSO) were purchased from Guangzhou Chemical Reagent Factory. Fluorescein isothiocyanate (FITC) was bought from Aladdin Industrial Co. Ltd. (Shanghai, China). The BCA protein assay kit and Hoechst 33342 were obtained from Invitrogen Corp. 2′,7′-dichlorofluorescein diacetate (DCFHDA) was bought from Sigma-Aldrich Corp. Cell Counting Kit-8 (CCK-8) was obtained from Dojindo Corp., Kumamoto, Japan.
Firstly, 30 ml aqueous solution of SOD (1 mL, 5 mg/mL) and ammonium iron (II) sulfate (0.125 mL, 25 mM) were mixed, and the reaction mixture stirred under N2 protection at room temperature for 0.5 h. Afterward, NaBH4 (0.25 mL, 50 mM) solution was slowly added to above reaction system under mechanical agitation at the speed of 0.1 ml min-1. The products were collected by centrifugation at 3000 rmp for 5 minutes and washed 3 times to remove the remnants.
1 mL SOD-Fe0 and 3 mg polyvinyl pyrrolidone (PVP) were dispersed in deionized water and stirred for 20 min to yield the PVP-modified SOD-Fe0. Then, 1 mL solution of PVP-modified SOD-Fe0 and 20 μL Lapa (1 mg) dissolved in DMSO were added to 0.5 mL of HMIM solution, and the mixture solution was magnetically stirred for 30 min. After that, 80 μL zinc nitrate solution (5 M) was slowly added into above mixture and stirred for another 20 min. After that, the as-synthesized products were collected by centrifugation at 10000 rpm for 10 min and then washed three times to remove the remnants.
Briefly, fresh heparinized whole blood withdrawn from the female BALB/c mice (4-6 weeks) and subsequently centrifuged at 2500 rpm for 5 min at 4 °C to remove the plasma and the buffy coat. The collected RBCs were washed 3 times with ice-cold PBS and mixed with hypotonic lysing buffer (0.25 × PBS) for 4 h at 4 °C. After that, the released hemoglobin was removed by centrifuged for 3 times at 3500 g for 5 minutes at 4 °C. The resulting pink RBC ghost were collected after washing 3 times with PBS. To form RBC-Fa, 100 µL of the RBC membranes were incubated with 100 µg Folic acid-PEG-DSPE for 4 h at 4 ℃. The products of RBC-Fa were collected by centrifugation (3500 rpm) for 5 min and washed with water to remove free Folic acid-PEG-DSPE. Finaly, the RBC membrane and Folic acid inserted RBC membrane were stored in -80 °C for further use.
To encapsulate SOD-Fe0@Lapa-Z into RBC membrane or RBC-Fa, the vesicles derived of RBC or RBC-Fa were mixed with 1 mL of SOD-Fe0@Lapa-Z (2 mg/mL). the mixture was extruded through 200 nm polycarbonate porous membrane for at least 11 passes with an Avanti mini-extruder (AvantiPolar Lipids). The free RBC membrane or RBC-Fa were removed by centrifugation.
Transmission electron microscopy (TEM) and scanning electron microscopy images were observed by JEOL TEM-1210 operated under 120 kV and EX-250 SEM (horiba), Respectively. The phase of nanoparticles were recorded on a D8 Focus diffractometer (Bruker) with Cu Kα radiation (λ = 0.15405 nm). Fourier transform infrared (FTIR) spectra were examined on a Bruker VERTEX V70 spectrometer with the range of 500-4000 cm-1. Nitrogen (N2) adsorption desorption isotherms curves and the corresponding pore-size distributions were obtained using a TriStar 3000 (Micromeritics, Norcross, GA, USA) surface area analyzer. The size distribution and zeta potential was performed on a Zetasizer Nano ZS particle analyzer (Malvern Instruments Limited). The CD spectra of the samples were measured by a chirascan-plus spectropolarimeter (Applied Photophysics, UK). The fluorescence spectra were analyzed on a 970CRT spectrophotometer. The concerntration of Lapa were carried on high-performance liquid chromatography (HPLC, Agilent 1200, USA). HPLC was performed on a C18 column (Zorbax Eclipse XDB, 4.6 × 150 mm, 5 μm).
The in vitro drug release behaviors were performed at 37 °C with shaker at 100 rpm. SOD-Fe0@Lapa-ZRF were transferred into a dialysis bag (molecular weight cutoff = 3000 Da) and dialyzed in 10 mL of PBS solution (pH 7.4 or pH 5.4). At appropriate time points, 1 mL of the releasing buffer was taken out and an equal volume of fresh medium was returned. The released Lapa and ferrous ion were measured by HPLC and ICP-MS, respectively.
For a typical peroxidation reaction, different concentrations of H2O2 (2.5 mM, 5 mM, 10 mM 20 mM, and 40 mM) was mixed with TMB (1 mM) and SOD-Fe0@Lapa-ZRF (100 μg/mL) in sodium acetate (NaAc) buffer solution (20 mM pH = 5.2). The absorbance of the oxidization products (λ = 650 nm) using UV-vis spectrometer at 25 °C. The Michaelis-Menten kinetic curve of SOD-Fe0@Lapa-ZRF was obtained by plotting the initial velocity against H2O2 concentrations. The Michaelis-Menten constant (Km) and maximal velocity Vmax were calculated via the Lineweaver-Burk plotting:
where v is the initial velocity, [S] is the concentrations of substrates.
For terephthalic acid (TPA) oxidation, TPA (50 mM) solution was dissolved in NaOH (20 mM) solution. In a typical process, SOD-Fe0@Lapa-ZRF (0.3 mL, 100 μg/mL) was dispersed into H2O2 (20 mM) and TPA (5 mM) mixture solution (3 mL). After a few minutes, the fluorescence spectra of TPA-OH were monitored, and emission intensity of TPA-OH at 440 nm.
The SOD activity was assayed based on inhibition of pyrogallol autoxidation. In brief, 10 μL different concentrations of free SOD or SOD-Fe0@Lapa-ZRF was added into 10 μL pyrogallol (50 mM in 10 mM HCl) in Tris-HCl solution (4.5 mL, 50 mM, pH = 8.2). The absorbance intensity was measured at 325 nm by using UV spectroscopy to calculate the autoxidation rate. The activity of SOD in SOD-Fe0@Lapa-ZRF was then calculated from the specific inhibition rate compared with inhibition rate of free SOD.
Where I and Ifree are the inhibition rate of pyrogallol autoxidation in SOD-Fe0@Lapa-ZRF and free SOD, respectively.
Murine macrophages (RAW264.7) were incubated in Dulbecco's modified Eagle's medium (DMEM) containing 10% FBS and 1% antibiotics (penicillin- streptomycin). 4T1 cells were incubated in RMPI 1640 medium containing 10% FBS and 1% antibiotics (penicillin- streptomycin). All cells were cultured at 37 °C in a humidified 5% CO2 atmosphere.
4T1 cells were planted into 96-well plates (5000 cells per well) and cultured for 12 h for cytotoxicity assay. The 4T1 cells were incubated with ZIF-8, ZRF, Lapa, Lapa-Z, SOD-Fe0, SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR and SOD-Fe0@Lapa-ZRF at different concentrations at 37°C. After 24 h incubation, the cells were washed twice with PBS and incubated in RMPI 1640 ontaining 10% CCK-8. The CCK-8 absorbance at 450 nm could measured using a microplate reader (MultiskanMk3, USA).
In order to intuitively observe the cell survival and death, the cell culture medium was removed. Then, these treated cells were stained with Calcein AM (AM) and Propidium Iodide (PI) for 20 min and subsequently the cell images were visualized using a microscope (Axio Observer A1, Zeiss, Germany).
4T1 cells were seeded in a 6-well plate (1×105 cells/well) for 12 h. The cells were then treated with SOD-Fe0 (25 μg/mL), Lapa (1.5 μg/mL of Lapa), SOD-Fe0@Lapa-Z (1.5 μg/mL of Lapa), SOD-Fe0@Lapa-ZR (1.5 μg/mL of Lapa), or SOD-Fe0@Lapa-ZRF (1.5 μg/mL of Lapa) with or without dicoumaral (60 μM) for 24 h. The medium was replaced with fresh medium and stained with Annexin V-FITC/PI according to the manufacture instructions (BD, USA). Finally, the apoptosis cells were examined by flow cytometer within 1 hour.
4T1 or RAW264.7 cells were seeded in a 96-well plate (5000 cells/well) for 24 h. Then the cells were treated with SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR, or SOD-Fe0@Lapa-ZRF labeled with FITC for 2, 4, 8, and 12 h. The cells were washed 3 times by PBS, and the fluorescence intensity of FITC was measured by fluorescence microplate reader with the excitation and emission wavelength at 488 and 525 nm, respectively. For intracellular location, 4T1 cells were planted in 2 cm confocal dishes and SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR, or SOD-Fe0@Lapa-ZRF labeled with FITC was added at different time points. Then, the nucleus and was stained with Hoechst 33342 (blue) and lysosome was stained with lyso-tracker (red). Finally, the intracellular location of SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR, or SOD-Fe0@Lapa-ZRF were observed by confocal laser scanning microscope (Zeiss LSM 880).
Intracellular ROS levels were measured using DCFH-DA. 4T1 cells were incubated with SOD-Fe0 (100 μg/mL), Lapa (8 μg/mL of Lapa), SOD-Fe0@Lapa-Z (8 μg/mL of Lapa), SOD-Fe0@Lapa-ZR (8 μg/mL of Lapa), or SOD-Fe0@Lapa-ZRF (8 μg/mL of Lapa) with or without dicoumaral (60 μM) for 6 h. Afterward, the cells were incubated with DCFH-DA (10 μM) for 30 min. Then, the production of intracellular ROS was detected at an excitation and emission wavelengths set at 488 and 525 nm, respectively.
Intracellular ROS observations on CLSM, 4T1 cells were seeded in 2cm confocal dishes at a density of 2×105 cells/mL and incubated for 24 h. The cells were incubated with SOD-Fe0 (50 μg/mL), Lapa (8 μg/mL of Lapa), SOD-Fe0@Lapa-Z (8 μg/mL of Lapa), SOD-Fe0@Lapa-ZR (8 μg/mL of Lapa), or SOD-Fe0@Lapa-ZRF (8 μg/mL of Lapa) with or without dicoumaral (60 μM) for 6 h. Afterward, the cells were incubated with DCFH-DA (10 μM) for 30 min. Then, the cells were washed with PBS and stained with Hoechst 33258. The production of ROS was detected by CLSM.
The 4T1 cells (2 × 105 cells/well) were seeded onto an ultralow adsorption 6-well plate and incubated for 48 h. The cells were incubated at 37 °C and culture medium was replaced every day. The 4T1 Spheroid formed spontaneously after 6 days. The 4T1 spheroid were treated with the FITC-loaded SOD-Fe0@Lapa-ZR and SOD-Fe0@Lapa-ZRF at different pH for 8 h. After that, the spheroids were washed with PBS and measured using Z-stack imaging from the top to the middle of spheroid by CLSM.
4T1 tumor-bearing BALB/c mice were randomly divided into four groups and administered with FITC--loaded SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR, and SOD-Fe0@Lapa-ZRF (n = 3, each group) by the tumor reached 150-200 mm3. After 12 h injected intravenously, mice were sacrificed, and the tumors were harvested. Tumors of each group were fixed by paraformaldehyde and dehydrated in 30% sucrose for an additional 24 h. The tumor tissues were cut into 10 μm sections, and permeabilized by 0.1% Triton-X 100 for 20 min and blocked by 10% BSA for 2 h. After BSA blocking, the tumor sections were incubated overnight with anti-CD31 and anti-HIF-1α antibodies, respectively. Finally, the tumor sections were stained with DAPI and imaged with CLSM.
Female BALB/c mice bearing 4T1 tumor xenografts (n=3) received intravenous injected with of SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR, and SOD-Fe0@Lapa-ZRF at a dose of 20 mg Zn kg-1. At different time points after the injection (1, 2, 4, 8, 12, 24, and 48 h), venous blood was collected from the tail veins. The Zn ions contents in blood were digested with chloroazotic acid and determined by ICP-MS.
The female Balb/c mice with 4T1 tumors were performed in vivo imaging studies. When the tumor reached 100 mm3, the mice were intravenously injected with FITC-labeled SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR, and SOD-Fe0@Lapa-ZRF (with equivalent Lapa of 2 mg kg-1). At 2, 6, 12, and 24 h after administration, and the fluorescent images were observed using VIS-FL imaging system (Cambridge Research & Instrumentation; Woburn, MA) at different time intervals. The mice were sacrificed 24 h post administration, and the tumors as well as normal tissues were harvested for ex vivo imaging. The region-of-interests were analyzed by using Living Image software.
The female SD mice were randomly divided into four groups and intravenously injected with PBS, Lapa-Z, SOD-Fe0@Lapa-Z, and SOD-Fe0@Lapa-ZRF (with equivalent Lapa of 2 mg kg-1). At different time points after the injection (24, 36, and 72 h), venous blood was collected from the tail veins, and centrifuged to obtain plasma. The levels of TNF-α, IL-6, and IL-1β in plasma were performed by ELISA analysis.
BALB/c nude mice bearing 4T1 tumors were randomly divided into four groups (n = 5) when the tumors size reached about 80-100 mm3. Then, the tumor mice were intravenously injected with saline, SOD-Fe0@Lapa-Z, SOD-Fe0@Lapa-ZR, Lapa-ZRF, and SOD-Fe0@Lapa-ZRF (equivalent to 2 mg/kg of Lapa) at 1, 4, 7, and 10 days. The tumor volume and body weight were recorded every 2 days for eight times. The tumor volumes (V) were calculated using the formula: V = W2 × L/2, where W and L represented tumor length and L represented tumor width, respectively. After observation for 14 days, the mice were sacrificed and tumors and main organs were collected and fixed with 4% paraformaldehyde and embedded in paraffin for analysis. At the same time, the blood of mices were collected to measure WBC and PLT. The blood samples were centrifuged to obtained plasma to measure the level of ALT, ALP, CR, and UA.
Liver tissues were collected and then crushed via a ball grinding mill. Proteins were extracted from the liver tissues and the protein concentration was determined by BCA assay. The level of T-SOD, MDA, and GSH-Px vitality were evaluated using Total Superoxide Dismutase Assay Kit with WST-8, Lipid Peroxidation MDA Assay Kit, and Total Glutathione Peroxidase Assay Kit (Beyotime) according to the manufacturers' instructions, respectively.
All the experiments were carried out at least 3 times, and the data were presented as mean ± standard deviation. The statistical analysis was performed by two-tailed Student's t-test. Difference with *P < 0.05 or **P < 0.01 was considered statistically significant.
The authors are grateful for the financial support from the National Natural Science Foundation of China (21574148, 21104097, and 31870943), Natural Science Foundation of Guangdong Province (2014A030313152), the Science and Technology Project of Guangdong Province (2018A050506019), Science and Technology Program of Guangzhou (201904010151), the Fundamental Research Funds for the Central Universities (21619418), Postdoctoral Fund of the First Affiliated Hospital of Jinan University (809018),Special Funds for the Cultivation of Guangdong College Students' Scientific and Technological Innovation (“Climbing Program” Special Funds), and the Intramural Research Program, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health.
Supplementary figures and tables.
The authors have declared that no competing interest exists.
1. Wu W, Yu L, Jiang Q, Huo M, Lin H, Wang L. et al. Enhanced Tumor-Specific Disulfiram Chemotherapy by In Situ Cu(2+) Chelation-Initiated Nontoxicity-to-Toxicity Transition. J Am Chem Soc. 2019;141:11531-9
2. Skrott Z, Mistrik M, Andersen KK, Friis S, Majera D, Gursky J. et al. Alcohol-abuse drug disulfiram targets cancer via p97 segregase adaptor NPL4. Nature. 2017;552:194-9
3. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020;70:7-30
4. Ye M, Han Y, Tang J, Piao Y, Liu X, Zhou Z. et al. A Tumor-Specific Cascade Amplification Drug Release Nanoparticle for Overcoming Multidrug Resistance in Cancers. Adv Mater. 2017;29:1702342
5. Matera C, Gomila AMJ, Camarero N, Libergoli M, Soler C, Gorostiza P. Photoswitchable Antimetabolite for Targeted Photoactivated Chemotherapy. J Am Chem Soc. 2018;140:15764-73
6. Zhou Z, Song J, Tian R, Yang Z, Yu G, Lin L. et al. Activatable Singlet Oxygen Generation from Lipid Hydroperoxide Nanoparticles for Cancer Therapy. Angew Chem Int Ed Engl. 2017;56:6492-6
7. Gatenby RA, Gillies RJ. Why do cancers have high aerobic glycolysis?. Nat Rev Cancer. 2004;4:891-9
8. Gallagher FA, Kettunen MI, Day SE, Hu DE, Ardenkjaer-Larsen JH, Zandt R. et al. Magnetic resonance imaging of pH in vivo using hyperpolarized 13C-labelled bicarbonate. Nature. 2008;453:940-3
9. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646-74
10. Huang W, Chen R, Peng Y, Duan F, Huang Y, Guo W. et al. In Vivo Quantitative Photoacoustic Diagnosis of Gastric and Intestinal Dysfunctions with a Broad pH-Responsive Sensor. ACS Nano. 2019;13:9561-70
11. Tang ZM, Liu YY, He MY, Bu WB. Chemodynamic Therapy: Tumour Microenvironment-Mediated Fenton and Fenton-like Reactions. Angew Chem Int Ed Engl. 2019;58:946-56
12. Lin H, Chen Y, Shi JL. Nanoparticle-triggered in situ catalytic chemical reactions for tumour-specific therapy. Chem Soc Rev. 2018;47:1938-58
13. Zou J, Zhu J, Yang Z, Li L, Fan W, He L. et al. A Phototheranostic Strategy to Continuously Deliver Singlet Oxygen in the Dark and Hypoxic Tumor Microenvironment. Angew Chem Int Ed Engl. 2020 in press. doi: 10.1002/anie.201914384
14. Liu W, Ruan M-L, Liu L, Ji X, Ma Y, Yuan P. et al. Self-activated in vivo therapeutic cascade of erythrocyte membrane-cloaked iron-mineralized enzymes. Theranostics. 2020;10:2201-14
15. Li N, Than A, Sun C, Tian J, Chen J, Pu K. et al. Monitoring Dynamic Cellular Redox Homeostasis Using Fluorescence-Switchable Graphene Quantum Dots. ACS Nano. 2016;10:11475-82
16. Coussens LM, Werb Z. Inflammation and cancer. Nature. 2002;420:860-7
17. Jorgenson TC, Zhong W, Oberley TD. Redox imbalance and biochemical changes in cancer. Cancer Res. 2013;73:6118-23
18. Hagen TM. Oxidative stress, redox imbalance, and the aging process. Antioxid Redox Signal. 2003;5:503-6
19. Hybertson BM, Gao B, Bose SK, McCord JM. Oxidative stress in health and disease: the therapeutic potential of Nrf2 activation. Mol Aspects Med. 2011;32:234-46
20. Urano M, Kuroda M, Reynolds R, Oberley TD, St Clair DK. Expression of manganese superoxide dismutase reduces tumor control radiation dose: gene-radiotherapy. Cancer Res. 1995;55:2490-3
21. Westman NG, Marklund SL. Copper- and zinc-containing superoxide dismutase and manganese-containing superoxide dismutase in human tissues and human malignant tumors. Cancer Res. 1981;41:2962-6
22. Huang P, Feng L, Oldham EA, Keating MJ, Plunkett W. Superoxide dismutase as a target for the selective killing of cancer cells. Nature. 2000;407:390-5
23. Chaffer CL, Marjanovic ND, Lee T, Bell G, Kleer CG, Reinhardt F. et al. Poised chromatin at the ZEB1 promoter enables breast cancer cell plasticity and enhances tumorigenicity. Cell. 2013;154:61-74
24. Griess B, Tom E, Domann F, Teoh-Fitzgerald M. Extracellular superoxide dismutase and its role in cancer. Free Radic Biol Med. 2017;112:464-79
25. Mitrunen K, Sillanpaa P, Kataja V, Eskelinen M, Kosma VM, Benhamou S. et al. Association between manganese superoxide dismutase (MnSOD) gene polymorphism and breast cancer risk. Carcinogenesis. 2001;22:827-9
26. Church SL, Grant JW, Ridnour LA, Oberley LW, Swanson PE, Meltzer PS. et al. Increased manganese superoxide dismutase expression suppresses the malignant phenotype of human melanoma cells. Proc Natl Acad Sci U S A. 1993;90:3113-7
27. Yao J, Cheng Y, Zhou M, Zhao S, Lin S, Wang X. et al. ROS scavenging Mn3O4 nanozymes for in vivo anti-inflammation. Chem Sci. 2018;9:2927-33
28. Samuel ELG, Marcano DC, Berka V, Bitner BR, Wu G, Potter A. et al. Highly efficient conversion of superoxide to oxygen using hydrophilic carbon clusters. Proc Natl Acad Sci USA. 2015;112:2343-8
29. Li ML, Xia J, Tian RS, Wang JY, Fan JL, Du JJ. et al. Near-Infrared Light-Initiated Molecular Superoxide Radical Generator: Rejuvenating Photodynamic Therapy against Hypoxic Tumors. J Am Chem Soc. 2018;140:14851-9
30. Ma P, Xiao H, Yu C, Liu J, Cheng Z, Song H. et al. Enhanced Cisplatin Chemotherapy by Iron Oxide Nanocarrier-Mediated Generation of Highly Toxic Reactive Oxygen Species. Nano Lett. 2017;17:928-37
31. Shen Z, Song J, Yung BC, Zhou Z, Wu A, Chen X. Emerging Strategies of Cancer Therapy Based on Ferroptosis. Adv Mater. 2018;30:1704007
32. Liu Y, Gong CS, Lin L, Zhou Z, Liu Y, Yang Z. et al. Core-shell metal-organic frameworks with fluorescence switch to trigger an enhanced photodynamic therapy. Theranostics. 2019;9:2791-9
33. Liu Y, Zhao Y, Chen X. Bioengineering of Metal-organic Frameworks for Nanomedicine. Theranostics. 2019;9:3122-33
34. Chu C, Su M, Zhu J, Li D, Cheng H, Chen X. et al. Metal-Organic Framework Nanoparticle-Based Biomineralization: A New Strategy toward Cancer Treatment. Theranostics. 2019;9:3134-49
35. Wang QQ, Zhang XP, Huang L, Zhang ZQ, Dong SJ. GOx@ZIF-8(NiPd) Nanoflower: An Artificial Enzyme System for Tandem Catalysis. Angew Chem Int Ed Engl. 2017;56:16082-5
36. Lian XZ, Fang Y, Joseph E, Wang Q, Li JL, Banerjee S. et al. Enzyme-MOF (metal-organic framework) composites. Chem Soc Rev. 2017;46:3386-401
37. Baati T, Njim L, Neffati F, Kerkeni A, Bouttemi M, Gref R. et al. In depth analysis of the in vivo toxicity of nanoparticles of porous iron(III) metal-organic frameworks. Chem Sci. 2013;4:1597-607
38. Huang G, Chen H, Dong Y, Luo X, Yu H, Moore Z. et al. Superparamagnetic iron oxide nanoparticles: amplifying ROS stress to improve anticancer drug efficacy. Theranostics. 2013;3:116-26
39. Dai L, Li X, Duan X, Li M, Niu P, Xu H. et al. A pH/ROS Cascade-Responsive Charge-Reversal Nanosystem with Self-Amplified Drug Release for Synergistic Oxidation-Chemotherapy. Adv Sci (Weinh). 2019;6:1801807
40. Ma X, Huang X, Moore Z, Huang G, Kilgore JA, Wang Y. et al. Esterase-activatable beta-lapachone prodrug micelles for NQO1-targeted lung cancer therapy. J Control Release. 2015;200:201-11
41. Fiorillo M, Sotgia F, Sisci D, Cappello AR, Lisanti MP. Mitochondrial "power" drives tamoxifen resistance: NQO1 and GCLC are new therapeutic targets in breast cancer. Oncotarget. 2017;8:20309-27
42. Yang Y, Zhu G, Dong B, Piao J, Chen L, Lin Z. The NQO1/PKLR axis promotes lymph node metastasis and breast cancer progression by modulating glycolytic reprogramming. Cancer Lett. 2019;453:170-83
43. Yang Y, Zhang Y, Wu Q, Cui X, Lin Z, Liu S. et al. Clinical implications of high NQO1 expression in breast cancers. J Exp Clin Cancer Res. 2014;33:14
44. Bystrom LM, Guzman ML, Rivella S. Iron and reactive oxygen species: friends or foes of cancer cells?. Antioxid Redox Signal. 2014;20:1917-24
45. Liu T, Liu W, Zhang M, Yu W, Gao F, Li C. et al. Ferrous-Supply-Regeneration Nanoengineering for Cancer-Cell-Specific Ferroptosis in Combination with Imaging-Guided Photodynamic Therapy. ACS Nano. 2018;12:12181-92
46. Wang X, Han M, Bao J, Tu W, Dai Z. A superoxide anion biosensor based on direct electron transfer of superoxide dismutase on sodium alginate sol-gel film and its application to monitoring of living cells. Anal Chim Acta. 2012;717:61-6
47. Liu W, Ruan M, Wang Y, Song R, Ji X, Xu J. et al. Light-Triggered Biomimetic Nanoerythrocyte for Tumor-Targeted Lung Metastatic Combination Therapy of Malignant Melanoma. Small. 2018;14:1801754
48. Dehaini D, Wei XL, Fang RH, Masson S, Angsantikul P, Luk BT. et al. Erythrocyte-Platelet Hybrid Membrane Coating for Enhanced Nanoparticle Functionalization. Adv Mater. 2017;29:1606209
49. Zheng H, Zhang Y, Liu L, Wan W, Guo P, Nystrom AM. et al. One-pot Synthesis of Metal-Organic Frameworks with Encapsulated Target Molecules and Their Applications for Controlled Drug Delivery. J Am Chem Soc. 2016;138:962-8
50. Gao S, Tang G, Hua D, Xiong R, Han J, Jiang S. et al. Stimuli-responsive bio-based polymeric systems and their applications. J Mater Chem B. 2019;7:709-29
51. Chen WH, Vazquez-Gonzalez M, Zoabi A, Abu-Reziq R, Willner I. Biocatalytic cascades driven by enzymes encapsulated in metal-organic framework nanoparticles. Nat Catal. 2018;1:689-95
52. Cheng KP, Svec F, Lv YQ, Tan TW. Hierarchical Micro- and Mesoporous Zn-Based Metal-Organic Frameworks Templated by Hydrogels: Their Use for Enzyme Immobilization and Catalysis of Knoevenagel Reaction. Small. 2019;15:1902927
53. Wang Q, Zhang X, Huang L, Zhang Z, Dong S. GOx@ZIF-8(NiPd) nanoflower: an artificial enzyme system for tandem catalysis. Angew Chem Int Ed Engl. 2019;56:16298-301
54. Wang X, Niu D, Li P, Wu Q, Bo X, Liu B. et al. Dual-Enzyme-Loaded Multifunctional Hybrid Nanogel System for Pathological Responsive Ultrasound Imaging and T2-Weighted Magnetic Resonance Imaging. ACS Nano. 2015;9:5646-56
55. Chen Q, Yang Y, Lin X, Ma W, Chen G, Li W. et al. Platinum(iv) prodrugs with long lipid chains for drug delivery and overcoming cisplatin resistance. Chem Commun (Camb). 2018;54:5369-72
56. Liu W, Dai J, Xue W. Design and self-assembly of albumin nanoclusters as a dynamic-covalent targeting co-delivery and stimuli-responsive controlled release platform. J Mater Chem B. 2018;6:6817-30
57. Li C, Yang XQ, An J, Cheng K, Hou XL, Zhang XS. et al. Red blood cell membrane-enveloped O2 self-supplementing biomimetic nanoparticles for tumor imaging-guided enhanced sonodynamic therapy. Theranostics. 2020;10:867-79
58. Wang Y, Ji X, Ruan M, Liu W, Song R, Dai J. et al. Worm-Like Biomimetic Nanoerythrocyte Carrying siRNA for Melanoma Gene Therapy. Small. 2018;14:1803002
59. Chai ZL, Ran DN, Lu LW, Zhan CY, Ruan HT, Hu XF. et al. Ligand-Modified Cell Membrane Enables the Targeted Delivery of Drug Nanocrystals to Glioma. ACS Nano. 2019;13:5591-601
60. Chen Q, Feng LZ, Liu JJ, Zhu WW, Dong ZL, Wu YF. et al. Intelligent Albumin-MnO2 Nanoparticles as pH-/H2O2-Responsive Dissociable Nanocarriers to Modulate Tumor Hypoxia for Effective Combination Therapy. Adv Mater. 2016;28:7129-36
Corresponding authors: Jian Dai, E-mail: daijianedu.cn; Wei Xue, E-mail: weixue_jnucom; Xiaoyuan Chen, E-mail: shawn.chengov