Skip to main content

Natural lipid nanoparticles extracted from Morus nigra L. leaves for targeted treatment of hepatocellular carcinoma via the oral route

Abstract

The clinical application of conventional medications for hepatocellular carcinoma treatment has been severely restricted by their adverse effects and unsatisfactory therapeutic effectiveness. Inspired by the concept of ‘medicine food homology’, we extracted and purified natural exosome-like lipid nanoparticles (LNPs) from black mulberry (Morus nigra L.) leaves. The obtained MLNPs possessed a desirable hydrodynamic particle size (162.1 nm), a uniform size distribution (polydispersity index = 0.025), and a negative surface charge (-26.6 mv). These natural LNPs were rich in glycolipids, functional proteins, and active small molecules (e.g., rutin and quercetin 3-O-glucoside). In vitro experiments revealed that MLNPs were preferentially internalized by liver tumor cell lines via galactose receptor-mediated endocytosis, increased intracellular oxidative stress, and triggered mitochondrial damage, resulting in suppressing the viability, migration, and invasion of these cells. Importantly, in vivo investigations suggested that oral MLNPs entered into the circulatory system mainly through the jejunum and colon, and they exhibited negligible adverse effects and superior anti-liver tumor outcomes through direct tumor killing and intestinal microbiota modulation. These findings collectively demonstrate the potential of MLNPs as a natural, safe, and robust nanomedicine for oral treatment of hepatocellular carcinoma.

Graphic abstract

Introduction

Hepatocellular carcinoma (HCC) represents the predominant histological subtype of liver cancer, comprising approximately 90% of all cases [1]. It is the third most common cause of cancer-related deaths worldwide, which has garnered global attention due to its increasing morbidity and mortality [2]. Surgical treatments (e.g., resection, transplantation, and transcatheter arterial chemoembolization) have succeeded initially in clinical HCC treatment [3,4,5]. However, the inherent limitations within these therapeutic modalities, including decreased patient adherence, tumor recurrence, and high mortality rates, constitute substantial impediments to their pragmatic application [6,7,8]. Meanwhile, clinical chemotherapeutic drugs meet the challenges of low response rates, serious adverse effects, and limited lifespan extension, making the urgent requirement for novel HCC treatment platforms.

Exosomes are one of the categories of extracellular vesicles (EVs) with diameters ranging from approximately 40 to 160 nm (average ~ 100 nm) [9], which have attracted enormous attention from scientists in the field of disease detection, drug delivery, and tissue regeneration. Despite the widespread utilization of these exosomes across various disciplines, their extended medical applications remain constrained by inefficient preparation methods, substantial biological hazards, potential adverse immune reactions, and the formidable economic challenges associated with mass production [10,11,12,13,14]. In contrast to exosomes originating from animal sources, exosome-like lipid nanoparticles (LNPs) derived from edible plants exhibit many advantageous attributes, encompassing substantial scalability in production, heightened biosafety, cost-effectiveness, and stability in the gastrointestinal tract (GIT) [15,16,17,18]. Recently, we extracted natural LNPs from tea leaves and purified them using gradient ultracentrifugation. It was found that these LNPs could be efficiently internalized by activated macrophages, scavenge intracellular reactive oxygen species (ROS), and down-regulate inflammatory responses. Subsequent murine experiments elucidated that oral administration of tea leaf-derived LNPs reinstated compromised colonic barriers, mitigated colonic inflammation, and rebalanced intestinal microbiota. These outcomes collectively contributed to the prophylaxis and therapeutic intervention against ulcerative colitis and colitis-associated colorectal cancer [19]. Moreover, plant-derived LNPs exhibit favorable efficacies in treating various liver diseases. For example, natural LNPs from ginger were found to activate nuclear factor erythroid 2-related factor 2, up-regulate the expression levels of genes related to liver detoxification and antioxidant activity, and suppress ROS production, thereby exerting a positive protective effect against alcohol-induced liver injury in mice [20]. Another study found that LNPs extracted from Asparagus cochinchinensis were taken up by HepG2 cells mainly via phagocytosis and exerted an anti-tumor effect through an apoptosis-inducing pathway. Since these LNPs were quickly eliminated from the circulatory system, their surfaces were functionalized by polyethylene glycol to prolong the circulation time and increase the accumulation in the liver tumors, eventually inducing the effective tumor growth retardation without adverse effects [21].

Mulberry leaves have traditionally been employed as a feed source for silkworms, imparting a reservoir of diverse bioactive constituents, including alkaloids, polysaccharides, anthocyanins, and flavonoids [22, 23]. Thus, they are recommended as natural herbs with antioxidant, hypoglycemic, antibacterial, and anti-inflammatory properties [24]. Our group has maintained a steadfast commitment to developing natural and eco-friendly oral nanomedicines, yielding noteworthy outcomes in the therapeutic management of a spectrum of inflammatory and malignant disorders [25, 26]. Herein, we extracted LNPs from Morus nigra L. leaves (referred to as MLNPs) and systematically characterized their physicochemical properties. Subsequently, we investigated their internalization efficiencies by liver tumor cells, elucidated the underlying liver tumor-targeting and anti-tumor mechanisms, and assessed their therapeutic efficacy against HCC (Scheme 1). Finally, the biological safety of MLNPs was comparably evaluated by intravenous injection and oral administration.

Scheme 1
scheme 1

Schematic illustration of the transportation and therapeutic mechanism of MLNPs against HCC. After oral administration, MLNPs maintained stability during their passage through the GIT and modulated intestinal microbiota. The superior property effectively facilitated their unimpeded transit from the GIT into the hepatic vasculature via systemic circulation, ensuring comprehensive liver targeting. Subsequently, MLNPs underwent cellular internalization by liver tumor cells through the galactose-mediated endocytic processes. This intricate internalization mechanism further facilitated the efficacious eradication of Hepa1-6 cells by heightening intracellular oxidative stress, provoking mitochondrial damage, and inducing cell cycle arrest

Materials and methods

Materials

Fresh Morus nigra L. leaves were obtained from Xinjiang Hotan Silkworm Science Research Institute (Xinjiang, China). Sucrose was supplied by Adamas (Shanghai, China). Phosphate buffered saline (PBS) was purchased from Service Biotechnology Co., Ltd. (Wuhan, China). Methylthiazolyldiphenyl-tetrazolium bromide (MTT) and total bilirubin (TBIL) assay kits were from Solar Biotechnology Co., Ltd (Beijing, China). Urea nitrogen activity assay kits (BUN), creatinine assay kits (CRE), aspartate aminotransferase assay kits (AST), γ-glutamyl transferase (GGT) assay kits, and alanine aminotransferase assay kits (ALT) were supplied by Nanjing Jiancheng Bioengineering Institute (Jiangsu, China). Dimethyl sulfoxide (DMSO), Triton X-100, cell cycle analysis kits, 3,3ʹ-dioctadecyloxacarbocyanine perchlorate (DiO), 2-(4-amidinophenyl)-6-indolecar-bamidine dihydrochloride (DAPI), BCA protein assay kits, ROS assay kits, enhanced mitochondrial membrane potential assay kits with JC-1 assay kits, Hoechst 33,342, and terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling (TUNEL) apoptosis assay kits were purchased from Beyotime Institute of Biotechnology (Shanghai, China). Rhodamine phalloidin and 1,1ʹ-dioctadecyl-3,3,3ʹ,3ʹ-tetramethylindotricarbocyanine iodide (DiR) were obtained from Thermo Fisher Scientific (Waltham, MA, USA).

Isolation and purification of MLNPs

Morus nigra L. leaves were washed with water, soaked in PBS, and blended at a high speed for 10 min to obtain leaf juice. The obtained leaf juice was centrifuged at 3,000 × g (20 min) and 10,000 × g (40 min) sequentially to precipitate large cell fragments. The supernatant was collected and centrifuged at 15,000 × g for 60 min to obtain the precipitate. After that, the precipitate was diluted with PBS, received ultrasound (200 W), and centrifuged at 15,000 × g for 60 min through sucrose density gradients (sucrose gradients of 8%, 30%, 45%, and 60%, w/v). Eventually, MLNPs were collected from the 30/45% sucrose interface, quantified using a BCA assay kit, and stored at -80 °C.

In vitro anti‑tumor activity of MLNPs

The anti-tumor activity of MLNPs was evaluated using MTT assay. HepG2, CT-26, Hepa1-6, 4T1, A549, L929, and MC3T3-E1 cells were seeded at a density of 1 × 104 cells/well in 96-well plates and incubated overnight. Cells were co-incubated with MLNPs (1, 2, 5, 10, 20, 50, and 100 μg/mL) for 24 and 48 h, respectively. Cells were washed with PBS and incubated with MTT solution (0.5 mg/mL) at 37 °C for 4 h. The supernatant was discarded, and DMSO (100 μL) was added to each well before measuring spectrophotometrically at 570 nm.

In vivo bio-distribution of MLNPs

6-Week-old female C57BL/6J mice were obtained from Chongqing Byrness Weil Biotechnology Co. Ltd. (Chongqing, China). Mice protocols were approved by the Institutional Animal Care and Use Committee of Southwest University. To establish HCC mouse model, mice were intraperitoneally injected with diethylnitrosamine (DEN) solution (20 mg/kg) and received the treatment of N-nitrosomorpholine (NMOR, 80 ppm)-contained drinking water for 24 weeks. Mice were orally administered DiR-MLNPs at a concentration of 5 mg protein/kg per mouse. At predetermined time points (12, 24, 48, and 72 h), mice were sacrificed, and the major organs and GITs were isolated and imaged using an IVIS spectrum imaging system (PerkinElmer/Caliper LifeSciences, Hopkinton, MA, USA).

In vivo therapeutic outcome of MLNPs against HCC

The HCC mouse model was established following the above protocol. The treatment groups were treated with MLNPs at a dose of either 2.5 mg/kg (L) or 5 mg/kg (H) every 3 days via the oral route. Mice were monitored for changes in their status, body weight, and survival rate throughout the experiments. After administration for 5 dosages, mice were sacrificed, and their major organs, blood samples, and feces were collected for analysis.

Statistical analysis

Data were presented as means ± standard error of the mean (S.E.M.). Statistical analysis was carried out using Student’s t-test or one-way ANOVA. Statistical significance was represented by *p < 0.05, **p < 0.01, and ***p < 0.001.

Results and discussion

Physicochemical characterization of MLNPs

MLNPs were extracted from fresh Morus nigra L. leaf juice and purified through differential centrifugation and sucrose density gradient ultracentrifugation (Fig. 1a). Driven by the sucrose gradients, MLNPs were mainly distributed in the sucrose density layer of 30/45%. Atomic force microscopy (AFM) and transmission electron microscopy (TEM) revealed that MLNPs appeared as exosome-like spherical particles with a diameter of approximately 100 nm following dehydration (Fig. 1b, c). The further analysis of dynamic light scattering (DLS) unveiled that MLNPs possessed a hydrodynamic particle size of 162.1 nm and exhibited an exquisitely uniform size distribution (polydispersity index; PDI = 0.025), as shown in Fig. 1d. The mean diameters of MLNPs obtained by AFM and TEM were significantly smaller than that determined by DLS, probably attributing to their shrinkage before AFM/TEM and swell during DLS tests.

Fig. 1
figure 1

Physicochemical characterizations of MLNPs. (a) Extraction of MLNPs from Morus nigra L leaves. (b) AFM images (scale bar = 200 nm), (c) TEM images (scale bar = 50 nm), (d) hydrodynamic particle size distribution, and (e) lipid compositions of MLNPs. Chromatograms of (f) standard and (g) MLNPs. (h) GO secondary classification statistical chart and (i) KEGG annotated statistical chart of MLNPs

The lipidomic analysis revealed that MLNPs were predominantly comprised of ceramides (Cer, 27%), triglycerides (TG, 20%), hemolytic phosphatidylcholine (LPC, 14%), and hexose ceramides (HexCer, 10%). These constituents significantly contributed to the stability of MLNPs while orchestrating the regulation of diverse physiological processes, encompassing macrophage activation, tissue remodeling, and wound healing. We found that hemolytic phospholipids were present in MLNPs, which could facilitate lipid fusion and enhance the transfer of vesicular contents to cells [27]. Meanwhile, MLNPs were found to contain 5.0% of monogalactodiglycerol (MGDG) (Fig. 1e), which exhibited a specific affinity towards the asialoglycoprotein receptor (ASGPR) over-expressed on the surface of liver tumor cells, thereby facilitating efficient live tumor-targeted delivery of bioactive molecules [28]. As reported, mulberry leaves harbored a plethora of small active molecules, encompassing an extensive range of flavonoids, polyphenols, polysaccharides, alkaloids, and other small compounds. Flavonoids in nanovesicles were determined using an ultra-performance liquid chromatography system and comparison with the mulberry metabolomics database (MMHub) [29, 30]. It was detected that MLNPs contained 3 primary flavonoids: rutin, quercetin 3-O-glucoside (Q3G), and kaempferol-3-O-glucoside (K3G) (Fig. 1f, g). The Gene Ontology (GO) functional database annotated a total of 1,312 genes for comprehensive functional classification, of which 602 genes participate in various molecular functions distributed across 8 distinct categories, notably inclusive of catalytic activity and binding. Additionally, 561 genes were identified to be involved in the biochemical processes, which were further divided into 9 seed functions, with cellular and metabolic processes being the primary functions. Eventually, 249 genes were found to be associated with cellular components consisting solely of cellular anatomical entities and protein-containing complexes (Fig. 1h).

KEGG pathway analysis revealed that 34 proteins in MLNPs were associated with human diseases and liver cancer-associated signaling pathways (Fig. 1i). The growth factors (TGF-α, TGF-β, IGF-II, and HGF) and Wnt signaling pathway are reactivated during tissue regeneration, cell renewal, and certain pathological conditions (e.g., premalignant disease and cancer). The Wnt/β-catenin protein pathway was predominantly quiescent in the mature and healthy liver [31]. A significant proportion of liver tumors harbored mutations in genes encoding the critical components of the Wnt/β-catenin protein signaling pathway. These findings provide an insight into the molecular mechanism by which mulberry nanovesicles inhibit hepatoma cells.

In vitro anti‑tumor activities of MLNPs

MTT assay was used to evaluate in vitro inhibitory potential of MLNPs against various tumor and healthy cell lines. The dose-dependent and time-dependent anti-proliferative effects of MLNPs were observed across all 6 cell lines (Fig. 2a-g). Amongst HepG2, Hepa1-6, CT-26, 4T1, and A549 cells, MLNPs exhibited maximum cytotoxicity towards HepG2 and Hepa1-6 cells, and IC50 values of the MLNP-treated HepG2 and Hepa1-6 cells were 48.6 and 74.5 μg/mL after a 24-hour exposure, and 12.0 and 17.0 μg/mL after 48 h, respectively (Fig. 2g). The strongest anti-proliferative effect on HepG2 and Hepa1-6 cells might be ascribed to the presence of galactose end group-contained glycolipids in the MLNPs that specifically target hepatoma cells. These results demonstrate that MLNPs have a promising potential for HCC treatment. Notably, MLNPs demonstrated relatively lower toxicities against healthy cells than hepatoma cells (Fig. 2f, g), suggesting their good biocompatibility.

Fig. 2
figure 2

In vitro anti‑tumor activities of MLNPs. MTT assay was used to assess the potential toxicity of MLNPs against (a) HepG2, (b) Hepa1-6, (c) A549, (d) 4T1, (e) CT26, (f) L929, and (g) MC3T3-E1 cells after co-incubation for 24 and 48 h, respectively. Each point represents the mean ± S.E.M. (n = 5). (h) The IC50 values of MLNPs against different cell lines. Each point represents the mean ± S.E.M. (n = 5). (i) Fluorescence images of Hepa1-6 cells stained with Calcein-AM/PI. Live cells were stained green with calcein-AM, and dead cells were stained red with PI (Scale bar = 200 μm). (j) Quantitative analysis of the fluorescence intensity of live or dead cells. Each point represents the mean ± S.E.M. (n = 5; *p < 0.05, **p < 0.01, and ***p < 0.001). (k) Apoptosis effect of Hepa1-6 cells with the treatment of MLNPs for 6, 12, and 24 h, respectively. (l) Migration of Hepa1-6 cells with or without the treatment of MLNPs for 24 and 48 h, respectively (Scale bar = 200 μm). (m) Wound healing rates of Hepa1-6 cells in the presence or absence of MLNPs using ImageJ software. Each point represents the mean ± S.E.M. (n = 5; *p < 0.05, **p < 0.01, and ***p < 0.001). (n) The transwell migration capacity of Hepa1-6 cells with the treatment of MLNPs for 6, 12, and 24 h, respectively (Scale bar = 100 μm). (o) Cell counts of transwell migration at 6, 12, and 24 h using ImageJ software. Each point represents the mean ± S.E.M. (n = 4; *p < 0.05, **p < 0.01, and ***p < 0.001)

Next, we used live/dead cell double staining to verify the toxicity of MLNPs to hepatoma cells. Calcein-AM enters living cells and emits green fluorescence after being broken down by esterases, while PI only enters dead cells and emits red fluorescence when binds to DNA [32]. As depicted in Fig. 2i, Hepa1-6 cells demonstrated a discernible time-dependent augmentation in red fluorescence intensities subsequent to co-incubation with MLNPs for 6, 12, and 24 h, in contrast to the control group. The quantitative results revealed a survival rate of approximately 60% of cells following a 24-hour treatment with MLNPs (Fig. 2j), a finding in concordance with the results obtained from the MTT assay. Moreover, Annexin V-FITC/PI staining revealed that advanced apoptosis or necrosis occurred in 77.6% of Hepa1-6 cells receiving the treatment of MLNPs at 24 h (Fig. 2k). Tumor cell metastasis involves migration and invasion, which causes over 90% cancer deaths [33, 34]. To evaluate the impacts of MLNPs on tumor invasion and metastasis, we conducted cell scratch and migration assays. It was observed that MLNPs significantly reduced wound healing rates to 9.3% and 4.1% after co-incubation for 24 and 48 h, respectively (Fig. 2l, m), indicating their substantial capacity to inhibit the migration of hepatoma cells. In alignment with the observations from the cell scratch assay, it was noteworthy that MLNPs showed a time-dependent influence in impeding the invasion and metastasis of tumor cells within a defined temporal range (Fig. 2n, o). Therefore, we posit that MLNPs could be exploited as a promising natural nanomedicine for combating metastatic liver cancers.

In vitro cellular uptake and anti‑tumor mechanism of MLNPs

The ability of nanomedicines to be internalized by targeted cells is a crucial factor that affects its efficacy [35]. Thus, we assessed the cellular uptake profiles of MLNPs by hepatoma cells. Since MLNPs lacked fluorescence but possessed lipophilic properties, they were labeled with a lipophilic dye (DiO). It was detected that green fluorescence signals within Hepa1-6 cells gradually increased with their elongated incubation with MLNPs, which overlapped with red fluorescence of the cytoskeleton (Fig. 3a-c). This observation substantiates the effective internalization of MLNPs by Hepa1-6 cells, with predominant distribution observed within the cytoplasm. Following co-incubation periods of 1, 3, and 5 h with MLNPs, Hepa1-6 cells exhibited uptake percentages of 37.3%, 66.0%, and 72.5%, respectively (Fig. 3c). In contrast, L929 cells displayed notably lower uptake percentages, measuring 4.7%, 20.0%, and 30.8%, respectively (Fig. S1). Furthermore, our investigation revealed decrements in the uptake percentages of MLNPs by Hepa1-6 cells following co-culture with free galactose, with reductions of 5.8%, 12.7%, and 8.1% observed after 1, 3, and 5 h, respectively. This underscores the robust liver tumor-targeting capacity of MLNPs through the galactose receptor-mediated approach.

Fig. 3
figure 3

In vitro cellular uptake and antitumor mechanism of MLNPs. (a) CLSM images and fluorescence distribution profiles (Scale bar = 50 μm). (b) CLSM cross-section images of 5-layered cellular uptake of DiO-labeled MLNPs (green) after incubation for 5 h. Hepa1-6 cells were labeled with DAPI (blue) and Rhodamine phalloidin (red) (Scale bar = 50 μm). (c) Percentages of DiO-labeled MLNPs internalized by Hepa1-6 cells for 1, 3, and 5 h, respectively. Each point represents the mean ± S.E.M. (n = 3). (d) CLSM images and (f) quantification of ROS changes in Hepa1-6 cells labeled with Hoechst 33,342 (blue) after co-incubation with MLNPs for 6, 12, and 24 h, respectively (Scale bar = 50 μm). Each point represents the mean ± S.E.M. (n = 3). (e) CLSM images and (g) quantification of JC-1 and Hoechst 33,342 stained Hepa1-6 cells after co-incubation with MLNPs for 12, 24, and 48 h, respectively (Scale bar = 20 μm). Each point represents the mean ± S.E.M. (n = 4). (h) Cell cycle analysis of Hepa1-6 cells after co-incubation with MLNPs for 12 or 24 h by FCM. Each point represents the mean ± S.E.M. (n = 3; *p < 0.05). (i) Schematic illustration of the pro-apoptotic mechanism of MLNPs against liver tumor cells

Intracellular ROS can induce oxidative damage to DNA, proteins, and lipids, ultimately leading to the apoptosis of tumor cells [36]. We thus investigated the ROS levels in Hepa1-6 cells receiving the treatment of MLNPs. It was detected that the control cells (without MLNP treatment) showed negligible green fluorescence signals. On the contrary, a gradual augmentation in the green fluorescence intensity was observed within Hepa1-6 cells receiving the treatment of MLNPs for different periods (6, 12, and 24 h), reflecting that MLNPs could effectively induce ROS generation in hepatoma cells (Fig. 3d, f). Loss of mitochondrial membrane potential is a hallmark event during apoptosis [37]. JC-1 probe has been commonly applied to detect the variations of mitochondrial membrane potential. In principle, mitochondrial membrane potential will decrease in apoptotic cells, and JC-1 molecules cannot be enriched in their mitochondrial matrix and exist as monomers that excite green fluorescence under the FITC channel of confocal microscope [38]. As seen in Fig. 3e, g, a discernible attenuation in red fluorescence and a concurrent augmentation in green fluorescence were observed following the administration of MLNPs. These findings signify the capacity of these naturally derived MLNPs to induce structural damage to the mitochondrial membrane. Furthermore, PI staining was conducted to explore the capacity of MLNPs in inducing cell cycle arrest. Figure 3h illustrated that after the treatment with MLNPs for 12 and 24 h, there was a notable elevation in the percentage of cells in the G0/G1 phase, concomitant with a decrement in the proportion of cells in the S phase. These observations demonstrate that MLNPs can block the cell cycle of Hepa1-6 cells and lead them to stagnate in the G0/G1 phase (Fig. 3i).

In vivo biosafety evaluation of MLNPs

Biosafety is a critical factor for the clinical translation of nanomedicines [39]. We thus evaluated the in vivo biosafety of MLNPs via intravenous injection and oral administration. It was found that MLNPs exhibited excellent hemocompatibility compared with the positive control group, as evidenced by the absence of blood circulation disorders or significant hemolysis at any dosages (Fig. S2a, b). The body weight of mice in each group remained stable without any significant decline (Fig. S3a). As depicted in Fig. S3b-h, oral administration of MLNPs demonstrated no observable deviations in organ indices (specifically liver and kidney) and biochemical markers when compared to the healthy group. Conversely, the intravenous administration of MLNPs resulted in a notable increase in AST levels and a concurrent reduction in TBIL and GGT levels (AST, TBIL, and GGT being pivotal markers for assessing liver function). These findings imply a potential hepatic toxicity associated with intravenous administration of MLNPs, highlighting the relative biosafety of oral MLNPs. ALT and AST are present in the heart, which will enter the blood stream from the damaged heart tissues. These two parameters did not significantly increase after oral administration in comparison with the control group (Fig. S3c, d). In terms of renal function, we found that creatinine (CRE) and blood urea nitrogen (BUN), which reflect kidney function, showed no obvious changes among these three groups (Fig. S3g, h). These results demonstrate that oral MLNPs exert negligible toxicity to the heart and kidney. In addition, the blood parameters in all groups were within the normal ranges, indicating that MLNPs did not cause hematological toxicity (Fig. S4). The tissue morphology of the five principle organs from the treatment groups exhibited no significant deviation from that of the healthy control group (Fig. S5), affirming the exceptional biosafety profile of MLNPs after oral administration.

In vivo bio‑distribution and liver targeting of MLNPs

The oral route is one of the most preferred approaches for drug delivery due to its convenience, cost-effectiveness, and high patient compliance [40]. The stability of therapeutics in the GIT is a crucial prerequisite for oral administration [41]. Thus, we investigated the stability of MLNPs in the simulated gastric, small intestinal, and colonic fluids. Figure 4a revealed that MLNPs possessed relatively stable particle sizes and surface charges during the incubation in different simulated solutions, suggesting their stability in the GIT. The robust preservation of the structural integrity of MLNPs ensured their unblemished journey from the GIT to the liver tumors. DiR is a common near-infrared fluorescent probe, which can bind to the phospholipid bilayer structure of LNPs. Consequently, we employed DiR as a labeling agent for MLNPs to track their biodistribution within HCC mouse model. It was observed that after oral administration, DiR-labeled MLNPs maintained in the GIT over 72 h (Fig. 4b). Strikingly, the fluorescence signals of MLNPs were perfectly overlapped with the liver tumors (Fig. 4c), demonstrating their intrinsic liver tumor-targeting capacity.

Fig. 4
figure 4

In vivo biodistribution and liver targeting profiles of MLNPs. (a) Stabilities of MLNPs in the simulated gastric, small intestinal, and colonic fluids. (b) Ex vivo fluorescence images of the GIT in the HCC mouse model receiving oral administration of DiR-MLNPs at different time points (12, 24, 48, and 72 h). (c) Ex vivo tumor-targeted fluorescence images and bio-distribution of DiR-labeled MLNPs in the orthotopic liver cancer mouse model. (d) Fluorescence images of the GIT sections from mice receiving oral administration of DiO-MLNPs (Scale bar = 100 μm). Each point represents the mean ± S.E.M. (n = 3)

The fluorescence intensity emanating from DiR-labeled MLNPs reached its zenith within the GIT following 24 h of oral administration, as depicted in Fig. 4b. Subsequently, a detection was conducted to ascertain the specific absorption site within the GIT at this designated time point. Figure 4d showed that obvious green fluorescence signals (MLNPs) were detected in the stomach, jejunum, and colon. Moreover, these green signals were enriched in the epithelial layer of the stomach, while they were mainly present in the mucosa of the jejunum and colon. These observations suggest that MLNPs might not be absorbed in the stomach but in the jejunum and colon, where they enter the circulatory system and accumulate in the liver tumors via galactose receptor-mediated targeting.

In vivo therapeutic outcomes of MLNPs against HCC

The anti-liver tumor effect of MLNPs was assessed on the basis of the DEN/NMOR-induced orthotopic liver cancer mouse model, which could closely mimic human liver cancer. Following the establishment of an orthotopic HCC model, mice were subjected to oral administration of MLNPs on days 1, 4, 7, 10, and 13 (Fig. 5a). No apparent disparity in body weight was found among all mouse groups during the entire investigations (Fig. 5b). We further found that compared with the healthy control group, the control group (without treatments) possessed increased liver weight (Fig. 5c) and liver index (Fig. 5d). However, oral administration of MLNPs (low dose: 2.5 mg/kg; high dose: 5 mg/kg) led to significant reductions in liver weight and liver index. Moreover, treating MLNPs significantly improved the hepatic functions of mice with orthotopic liver tumors. Specifically, the group treated with MLNPs (L) demonstrated reductions of 1.1-, 2.1-, 2.0-, and 1.5-fold in the levels of BUN (Fig. 5e), AST (Fig. 5f), TBA (Fig. 5g), and ALT (Fig. 5h), respectively. In addition, we found that increasing the treatment amounts of MLNPs slightly decreased the liver function indices.

Fig. 5
figure 5

In vivo therapeutic outcomes of MLNPs against HCC. (a) Schematic diagram of the establishment process of orthotopic liver cancer mouse model and treatment process. (b) The body weight, (c) liver weight, and (d) organ index of orthotopic liver cancer mice with the treatment of MLNPs. Each point represents the mean ± S.E.M. (n = 5; *p < 0.05 and **p < 0.01). The amounts of (e) BUN, (f) AST, (g) TBA, and (h) ALT in the serum. Each point represents the mean ± S.E.M. (n = 4; *p < 0.05, **p < 0.01, and ***p < 0.001). (i) Representative digital photos, TUNEL (Scale bar = 100 μm), (j) H&E (Scale bar = 100 μm), and Ki67 (Scale bar = 100 μm) staining images of the liver tissues from mice receiving oral treatment of MLNPs. Each point represents the mean ± S.E.M. (n = 3)

Next, we determined the morphologies of livers from various mouse groups. Figure 5i illustrated that the groups treated with MLNPs (L and H) exhibited markedly ameliorated hepatic histology, contrasting with the liver morphology observed in the untreated control group. We also found that the indices (Fig. S6a) and tissue morphologies (Fig. S6b) of other organs (heart, spleen, lung, and kidney) from the MLNP (L and H)-treated groups had no significant differences, compared with those from the healthy control group (Fig. S6a). The H&E staining images revealed the presence of early-stage primary liver tumor in the control group (without treatment), as evidenced by hepatocyte nuclear division and vacuolar deformation. Nevertheless, oral MLNPs (L and H) significantly decreased the presentation of primary liver tumors (Fig. 5j). The combination of TUNEL and Ki67 assays has been employed to label the apoptotic and proliferative profiles of cells in the tumor tissues, respectively. Remarkably, the livers from the MLNP (H)-treated group displayed the most intense TUNEL green fluorescence and the lowest Ki67 positivity (Fig. 5i, j). The hematological analysis revealed that the control group, devoid of any treatment, manifested heightened counts of white blood cells, encompassing lymphocytes, neutrophils, and monocytes. These counts surpassed those observed in the healthy control group, indicative of inflammatory responses provoked by liver tumors (Fig. 6). Interestingly, following treatment with low/high doses of MLNPs, the levels of various leukocytes exhibited significant reductions and approached normalcy. These findings suggest that oral treatment of MLNPs can efficiently retard the progression of liver tumors.

Fig. 6
figure 6

Complete blood count of the orthotopic liver cancer mice with oral treatment of MLNPs. Each point represents the mean ± S.E.M. (n = 5; *p < 0.05, **p < 0.01, and ***p < 0.001)

Impacts of oral MLNPs on intestinal microbiota

The gut microbiome has recently been recognized as a major environmental factor in the pathobiology of many diseases. Throughout the preceding decades, numerous studies have consistently reported a discernible alteration in the composition of gut microbiota among patients with cirrhosis, which progressively becomes dysregulated as the development of liver diseases [42]. The liver receives approximately 70% of its blood supply from the intestine and transports various substances that are advantageous to intestinal nutrition and functions. Dysbiosis, characterized by quantitative and qualitative changes in gut microbiota, compromises the integrity of the intestinal barrier, leading to intestinal permeability and pathological bacterial translocations [43].

To further elucidate the impacts of MLNPs on intestinal microbiota, we employed 16s RNA gene sequencing to comparatively investigate the gut microbiota compositions among different mouse groups. Compared with the healthy control group, DEN/NMOR treatment caused an increase in bacterial richness at the species level, accompanied by a corresponding elevation in the Shannon diversity index representing microbiota diversity. Oral MLNPs induced alterations in the microbiota diversities, as evidenced by changes in the Chao and Shannon diversity index (Fig. 7a, b). Venn diagram can visualize the number of common and unique species as well as similarities and overlaps between different groups. It showed that the MLNP (H)-treated group had a remarkable increase in colony formation with an impressive count of 205 strains (154 shared among all mouse groups and 21 unique to this group), which was consistent with the trend observed in the Chao Index of Richness (Fig. 7c, d). Discrete statistics from principal coordinates analysis (PCoA) illustrate how different groups are distributed along the PC1 axis. As presented in Fig. 7e, the distances among the healthy control group, the DEN/NMOR control group, and the MLNP (H)-treated group reflected the positive effect of MLNPs on microbiota remodeling, demonstrating that MLNPs could effectively reverse intestinal flora disorders caused by chemical carcinogens while maintaining stability.

Fig. 7
figure 7

Evaluation of remodeling effects of MLNPs on the intestinal microbiota. α-Diversities were presented by box plots of the (a) Shannon index, and (b) Chao index. Each point represents the mean ± S.E.M. (n = 3; *p < 0.05 and **p < 0.01). (c) Venn diagram of common and unique bacterial species. (d) Total numbers of microbial species of mice in each group. (e) Dispersion of β-diversity from experiment outcome. (f) Percent of community abundance on the genus level of the intestinal microbiota. (g) Heatmap of relative abundance at the species level of the intestinal microbiota. (h) Microbial compositions of various mouse groups at the phylum level. (i) Principal coordinates analysis (PCoA) of the intestinal microbiota in each group. (j-l) Relative abundances of the typical beneficial and harmful bacteria in different treatment groups. Each point represents the mean ± S.E.M. (n = 3; *p < 0.05 and **p < 0.01)

Furthermore, the control group (without treatment) exhibited a higher relative abundance of detrimental bacteria (e.g., Norank Muribaculaceae and Bacteroides) when compared with the healthy control group (Fig. 7f). Following oral treatment of MLNPs, there were increases in the relative abundances of Lactobacillus and Turicibacter. Previous studies have demonstrated that Lactobacillus can mitigate galactose-induced liver injury in rats by suppressing hepatic inflammation, enhancing intestinal barrier function, and modulating the regulatory metabolome of gut microbiota [44]. Turicibacter belongs to the order Bifidobacteria, which regulates glycolipid metabolism as an intestinal probiotic. Additionally, it showed significant variations in several strains, including Escherichia-Shigella, Uncultured bacterium Prevotellaceae NK3B31 group, and Uncultured bacterium Prevotellaceae UCG-001. These strains were positively correlated with the control group (without treatment) and negatively correlated with the healthy control group and the MLNP (H)-treated group (Fig. 7g). As depicted in Fig. 7h, the Firmicutes level decreased, while the levels of Bacteroidota and Patescibacteria increased in the DEN/NMOR control group. In the gut, Firmicutes and Bacteroidota are dominant strains for gram-positive and gram-negative bacteria, respectively. Changes in their ratios indicate intestinal dysbiosis, which has been observed in various liver diseases [45]. Studies indicate that the majority of pro-inflammatory bacteria are classified as Patescibacteria, while numerous probiotics fall under Firmicutes. Intestinal disorders promote the proliferation of pro-inflammatory factor-producing bacteria and alter bile acid metabolism, thereby contributing to the development of HCC [46]. The MLNP (H)-treated group was able to reverse the changes mentioned above.

Studies have demonstrated that Escherichia-Shigella, a member of the Enterobacteriaceae family, exerts its pathogenicity in nonalcoholic fatty liver disease patients by modulating lipid metabolism and promoting lipid accumulation, ultimately resulting in varying degrees of hepatic steatosis, inflammation, and fibrosis [47]. The proportions of both Prevotellaceae and Bacteroides increased in patients with advanced liver cirrhosis [48]. Furthermore, there was no overlap in colony structure between the healthy mice and the DEN/NMOR control mice, with the latter being dispersed far apart. However, after oral administration of MLNPs to liver cancer mice, their colony structures of the MLNP (H)-treated group partially intersected with those of the healthy control mice (Fig. 7i). Representative cultures were chosen to showcase the trajectory of beneficial and detrimental bacteria following MLNP treatment (Fig. 7j-l). These results collectively imply that the treatment of MLNPs can efficiently modulate the balance of intestinal flora.

Conclusion

Natural exosome-like nanovesicles were extracted and purified from fresh leaves of Morus nigra L. for the treatment of hepatocellular carcinoma. These Morus nigra L.-derived lipid nanoparticles (MLNPs) encompass a diverse array of functional constituents, comprising lipids, proteins, and flavonoids, with galactose identified as a potential target for liver tumor-targeting. Furthermore, they exhibited exceptional stability under simulated gastrointestinal conditions and demonstrated outstanding biocompatibility, thus making them highly suitable for in vivo application. The in vitro experiments revealed that galactose groups on the surface of MLNPs facilitated their specific internalization by Hepa1-6 cells and augmented their cytotoxicity against liver tumor cells. It was found that MLNPs caused cell cycle arrest at the G0/G1 phase and induced apoptosis in Hepa1-6 cells. They also triggered a surge in intracellular ROS levels and significantly inhibited the proliferation and migration of hepatoma cells. Oral administration of MLNPs showed superior biosafety compared with intravenous administration, without causing immunogenic or toxic side effects. In a murine model of primary hepatic carcinoma, oral MLNPs exhibited remarkable liver-targeting and enrichment capabilities, significantly suppressing tumor growth and modulating intestinal microbial balance. In summary, MLNPs represent a natural, safe, and eco-friendly nanomedicine with exceptional liver tumor-targeting capabilities, which can be exploited for oral treatment of hepatocellular carcinoma.

Abbreviations

4T1:

Mouse breast cancer cell line

A549:

A549 human lung carcinoma cell line

AFM:

Atomic force microscopy

ALT:

Alanine aminotransferase

ASGPR:

Asialoglycoprotein receptor

AST:

Aspartate aminotransferase

BUN:

Urea nitrogen

Cer:

Ceramides

CRE:

Creatinine

CT-26:

Mouse colon carcinoma cell line

DAPI:

2-(4-amidinophenyl)-6-indolecar-bamidine dihydrochloride

DEN:

Diethylnitrosamine

DiO:

3,3ʹ-dioctadecyloxacarbocyanine perchlorate

DiR:

1,1ʹ-dioctadecyl-3,3,3ʹ,3ʹ-tetramethylindotricarbocyanine iodide

DLS:

Dynamic light scattering

DMEM:

Dulbecco’s modified eagle medium

DMSO:

Dimethyl sulfoxide

GIT:

Gastrointestinal tract

GO:

Gene ontology

H&E:

Hematoxylin and eosin

HCC:

Hepatocellular carcinoma

Hepa1-6:

Hepa1-6 murine hepatoma cell line

HepG2:

Hepatoma G2 cell line

HexCer:

Hexose ceramides

IC50 :

Half maximal inhibitory concentrations

i.g. :

Oral gavage

i.v. :

Intravenous

K3G:

Kaempferol-3-O-glucoside

KEGG:

Kyoto encyclopedia of genes and genomes

L929:

L929 murine fibroblast cell line

LPC:

Hemolytic phosphatidylcholine

MC3T3-E1:

MC3T3-E1 mouse calvaria-derived pre-osteoblast cell line

MGDG:

Monogalactodiglycerol

MLNPs:

Mulberry leaf lipid nanoparticles

MTT:

Methylthiazolyldiphenyl-tetrazolium bromide

NMOR:

N-nitrosomorpholine

PBS:

Phosphate buffered saline

PCoA:

Principal coordinates analysis

PDI:

Polydispersity index

PI:

Propidium iodide

Q3G:

3-O-glucoside

ROS:

Reactive oxygen species

TBA:

Total bile acids

TEM:

Transmission electron microscopy

TG:

Triglycerides

TUNEL:

Terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling

References

  1. Llovet JM, Kelley RK, Villanueva A, Singal AG, Pikarsky E, Roayaie S, et al. Hepatocellular carcinoma. Nat Rev Dis Primers. 2021;7:6.

    Article  PubMed  Google Scholar 

  2. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71:209–49.

    Article  PubMed  Google Scholar 

  3. European association for the study of the liver. EASL clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol. 2018;69:182–236.

    Article  Google Scholar 

  4. Forner A, Reig M, Bruix J. Hepatocellular carcinoma. Lancet. 2018;391:1301–14.

    Article  PubMed  Google Scholar 

  5. Villanueva A. Hepatocellular carcinoma. N Engl J Med. 2019;380:1450–62.

    Article  PubMed  CAS  Google Scholar 

  6. Mazzaferro V, Llovet JM, Miceli R, Bhoori S, Schiavo M, Mariani L, et al. Predicting survival after liver transplantation in patients with hepatocellular carcinoma beyond the Milan criteria: a retrospective, exploratory analysis. Lancet Oncol. 2009;10:35–43.

    Article  PubMed  Google Scholar 

  7. Mazzaferro V, Sposito C, Zhou J, Pinna AD, De Carlis L, Fan J, et al. Metroticket 2.0 model for analysis of competing risks of death after liver transplantation for hepatocellular carcinoma. Gastroenterology. 2018;154:128–39.

    Article  PubMed  Google Scholar 

  8. Wallace D, Cowling TE, Walker K, Suddle A, Rowe I, Callaghan C, et al. Short-and long-term mortality after liver transplantation in patients with and without hepatocellular carcinoma in the UK. Br J Surg. 2020;107:896–905.

    Article  PubMed  CAS  Google Scholar 

  9. Kalluri R, LeBleu VS. The biology, function, and biomedical applications of exosomes. Science. 2020;367.

  10. Armstrong JPK, Stevens MM. Strategic design of extracellular vesicle drug delivery systems. Adv Drug Deliv Rev. 2018;130:12–6.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  11. Borrelli DA, Yankson K, Shukla N, Vilanilam G, Ticer T, Wolfram J. Extracellular vesicle therapeutics for liver disease. J Control Release. 2018;273:86–98.

    Article  PubMed  CAS  Google Scholar 

  12. Cano A, Muñoz-Morales Á, Sánchez-López E, Ettcheto M, Souto EB, Camins A et al. Exosomes-based nanomedicine for neurodegenerative diseases: current insights and future challenges. Pharmaceutics. 2023;15.

  13. García-Fernández J, Fuente Freire M. Exosome-like systems: nanotechnology to overcome challenges for targeted cancer therapies. Cancer Lett. 2023;561:216151.

    Article  PubMed  Google Scholar 

  14. Wu M, Ouyang Y, Wang Z, Zhang R, Huang PH, Chen C, et al. Isolation of exosomes from whole blood by integrating acoustics and microfluidics. Proc Natl Acad Sci U S A. 2017;114:10584–9.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  15. Chen Q, Li Q, Liang Y, Zu M, Chen N, Canup BSB, et al. Natural exosome-like nanovesicles from edible tea flowers suppress metastatic breast cancer via ROS generation and microbiota modulation. Acta Pharm Sin B. 2022;12:907–23.

    Article  PubMed  Google Scholar 

  16. Dad HA, Gu TW, Zhu AQ, Huang LQ, Peng LH. Plant exosome-like nanovesicles: emerging therapeutics and drug delivery nanoplatforms. Mol Ther. 2021;29:13–31.

    Article  PubMed  CAS  Google Scholar 

  17. Ou X, Wang H, Tie H, Liao J, Luo Y, Huang W, et al. Novel plant-derived exosome-like nanovesicles from catharanthus roseus: preparation, characterization, and immunostimulatory effect via TNF-α/NF-κB/PU.1 axis. J Nanobiotechnol. 2023;21:160.

    Article  CAS  Google Scholar 

  18. Subha D, Harshnii K, Madhikiruba K, Nandhini M, Tamilselvi KJPNB. Plant derived exosome-like nanovesicles: an updated overview. Plant Nano Biol. 2023;3:100022.

    Article  Google Scholar 

  19. Zu M, Xie D, Canup BSB, Chen N, Wang Y, Sun R, et al. Green’ nanotherapeutics from tea leaves for orally targeted prevention and alleviation of colon diseases. Biomaterials. 2021;279:121178.

    Article  PubMed  CAS  Google Scholar 

  20. Zhuang X, Deng ZB, Mu J, Zhang L, Yan J, Miller D, et al. Ginger-derived nanoparticles protect against alcohol-induced liver damage. J Extracell Vesicles. 2015;4:28713.

    Article  PubMed  Google Scholar 

  21. Zhang L, He F, Gao L, Cong M, Sun J, Xu J, et al. Engineering exosome-like nanovesicles derived from asparagus cochinchinensis can inhibit the proliferation of hepatocellular carcinoma cells with better safety profile. Int J Nanomedicine. 2021;16:1575–86.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Hassimotto NMA, Genovese MI, Lajolo FMJFS. Identification and characterisation of anthocyanins from wild mulberry (Morus Nigra L.) growing in Brazil. Food Sci Technol Int. 2007;13:17–25.

    Article  CAS  Google Scholar 

  23. Nuengchamnong N, Ingkaninan K, Kaewruang W, Wongareonwanakij S, Hongthongdaeng B. Quantitative determination of 1-deoxynojirimycin in mulberry leaves using liquid chromatography-tandem mass spectrometry. J Pharm Biomed Anal. 2007;44:853–8.

    Article  PubMed  CAS  Google Scholar 

  24. Butt MS, Nazir A, Sultan MT, Schroën KJTFS. Morus alba L. nature’s functional tonic. Trends Food Sci Technol. 2008;19:505–12.

    Article  CAS  Google Scholar 

  25. Cao Y, Liu S, Ma Y, Ma L, Zu M, Sun J, et al. Oral nanomotor-enabled mucus traverse and tumor penetration for targeted chemo-sono-immunotherapy against colon cancer. Small. 2022;18:e2203466.

    Article  PubMed  Google Scholar 

  26. Ma Y, Duan L, Sun J, Gou S, Chen F, Liang Y, et al. Oral nanotherapeutics based on antheraea pernyi silk fibroin for synergistic treatment of ulcerative colitis. Biomaterials. 2022;282:121410.

    Article  PubMed  CAS  Google Scholar 

  27. Hussey GS, Pineda Molina C, Cramer MC, Tyurina YY, Tyurin VA, Lee YC, et al. Lipidomics and RNA sequencing reveal a novel subpopulation of nanovesicle within extracellular matrix biomaterials. Sci Adv. 2020;6:eaay4361.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  28. Zhang H, Xiao Y, Cui S, Zhou Y, Zeng K, Yan M, et al. Novel galactosylated poly (ethylene glycol)-cholesterol for liposomes as a drug carrier for hepatocyte-targeting. J Nanosci Nanotechnol. 2015;15:4058–69.

    Article  PubMed  CAS  Google Scholar 

  29. Li D, Chen G, Ma B, Zhong C, He N. Metabolic profiling and transcriptome analysis of mulberry leaves provide insights into flavonoid biosynthesis. J Agric Food Chem. 2020;68:1494–504.

    Article  PubMed  CAS  Google Scholar 

  30. Li D, Ma B, Xu X, Chen G, Li T, He N. MMHub, a database for the mulberry metabolome. Database. 2020;2020:baaa011.

    Article  PubMed  PubMed Central  Google Scholar 

  31. He S, Tang S. WNT/β-catenin signaling in the development of liver cancers. Biomed Pharmacother. 2020;132:110851.

    Article  PubMed  CAS  Google Scholar 

  32. Tawakoli PN, Al-Ahmad A, Hoth-Hannig W, Hannig M, Hannig C. Comparison of different live/dead stainings for detection and quantification of adherent microorganisms in the initial oral biofilm. Clin Oral Investig. 2013;17:841–50.

    Article  PubMed  CAS  Google Scholar 

  33. Castaneda M, Den HP, Kuburich NA, Rosen JM, Mani SA. Mechanisms of cancer metastasis. Semin Cancer Biol. 2022;87:17–31.

    Article  PubMed  CAS  Google Scholar 

  34. Chaffer CL, Weinberg RA. A perspective on cancer cell metastasis. Science. 2011;331:1559–64.

    Article  PubMed  CAS  Google Scholar 

  35. Padhi S, Behera AJP. Cellular internalization and toxicity of polymeric nanoparticles. Polym Nanopart Treat Solid Tumors. 2022;473–88.

  36. Yang H, Villani RM, Wang H, Simpson MJ, Roberts MS, Tang M, et al. The role of cellular reactive oxygen species in cancer chemotherapy. J Exp Clin Cancer Res. 2018;37:266.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  37. Hirsch T, Susin SA, Marzo I, Marchetti P, Zamzami N. Mitochondrial permeability transition in apoptosis and necrosis. Cell Biol Toxicol. 1998;14:141–5.

    Article  PubMed  CAS  Google Scholar 

  38. Smiley ST, Reers M, Mottola-Hartshorn C, Lin M, Chen A, Smith TW, et al. Intracellular heterogeneity in mitochondrial membrane potentials revealed by a J-aggregate-forming lipophilic cation JC-1. Proc Natl Acad Sci U S A. 1991;88:3671–5.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  39. Wang J, Sun J, Wang Y, Chou T, Zhang Q, Zhang B et al. Gold nanoframeworks with mesopores for raman-photoacoustic imaging and photo-chemo tumor therapy in the second near-infrared biowindow. Adv Funct Mater. 2020;30.

  40. Date A, Hanes J, Ensign LM. Nanoparticles for oral delivery: design, evaluation and state-of-the-art. J Control Release. 2016;240:504–26.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  41. Ensign LM, Cone R, Hanes J. Oral drug delivery with polymeric nanoparticles: the gastrointestinal mucus barriers. Adv Drug Deliv Rev. 2012;64:557–70.

    Article  PubMed  CAS  Google Scholar 

  42. Beloqui A, des Rieux A, Préat V. Mechanisms of transport of polymeric and lipidic nanoparticles across the intestinal barrier. Adv Drug Deliv Rev. 2016;106:242–55.

    Article  PubMed  CAS  Google Scholar 

  43. Compare D, Coccoli P, Rocco A, Nardone OM, De Maria S, Cartenì M, et al. Gut-liver axis: the impact of gut microbiota on non alcoholic fatty liver disease. Nutr Metab Cardiovasc Dis. 2012;22:471–6.

    Article  PubMed  CAS  Google Scholar 

  44. Wang Q, Lv L, Jiang H, Wang K, Yan R, Li Y, et al. Lactobacillus helveticus R0052 alleviates liver injury by modulating gut microbiome and metabolome in D-galactosamine-treated rats. Appl Microbiol Biotechnol. 2019;103:9673–86.

    Article  PubMed  CAS  Google Scholar 

  45. Jasirwan COM, Muradi A, Hasan I, Simadibrata M, Rinaldi I. Correlation of gut firmicutes/bacteroidetes ratio with fibrosis and steatosis stratified by body mass index in patients with non-alcoholic fatty liver disease. Biosci Microbiota Food Health. 2021;40:50–8.

    Article  PubMed  CAS  Google Scholar 

  46. Ni J, Huang R, Zhou H, Xu X, Li Y, Cao P, et al. Analysis of the relationship between the degree of dysbiosis in gut microbiota and prognosis at different stages of primary hepatocellular carcinoma. Front Microbiol. 2019;10:1458.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Xin FZ, Zhao ZH, Liu XL, Pan Q, Wang ZX, Zeng L, et al. Escherichia fergusonii promotes nonobese nonalcoholic fatty liver disease by interfering with host hepatic lipid metabolism through its own msRNA 23487. Cell Mol Gastroenterol Hepatol. 2022;13:827–41.

    Article  PubMed  CAS  Google Scholar 

  48. Minemura M, Shimizu Y. Gut microbiota and liver diseases. World J Gastroenterol. 2015;21:1691–702.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

Download references

Acknowledgements

This study was supported by the National Natural Science Foundation of China (82072060 and 82360110), the Open Fund of State Key Laboratory of Southwestern Chinese Medicine Resources (SKLTCM2022067), the Fundamental Research Funds for the Central Universities (SWU-XDPY22006 and SWU-KQ22075), the Venture & Innovation Support Program for Chongqing Overseas Returnees (2205012980212766), the Distinguished Young Scholars of Chongqing (2022NSCQ-JQX5279), and the Natural Science Foundation Project of Chongqing (cstc2020jcyj-msxmX0292).

Author information

Authors and Affiliations

Authors

Contributions

Qiang Gao, Nanxi Chen, and Boyi Li contributed equally as joint first authors. Bo Xiao designed experiments, supervised studies, and wrote the manuscript. Qiang Gao, Nanxi Chen, Baoyi Li, Menghang Zu, Ya Ma, and Haiting Xu performed the experiments. Zhenhua Zhu, Rui L. Reis, Subhas C. Kundu, and Bo Xiao edited and revised the manuscript. All authors have given approval to the final version of the manuscript.

Corresponding author

Correspondence to Bo Xiao.

Ethics declarations

Ethics approval and consent to participate

Animal studies were approved by the Institutional Animal Care and Use Committee of Southwest University.

Consent for publication

All authors read and agreed to submit the manuscript.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1: Figure S1.

Percentages and MFIs of DiO-labeled MLNPs internalized by L929 cells after co-incubation for 1, 3, and 5 h, respectively. Each point represents the mean ± S.E.M. (n = 3; *p < 0.05, **p < 0.01, and ***p < 0.001). Figure S2. Hemolysis test. (a) Digital photo and (b) hemolysis rates of erythrocytes with the treatment of Triton X-100 (positive control; 0.1%, w/v), PBS (negative control), and MLNPs (various protein concentrations). Each point represents the mean ± S.E.M. (n = 3). Figure S3. (a) Body weight and (b) organ index of different mouse groups. The amounts of (c) ALT, (d) AST, (e) TBIL, (f) GGT, (g) CRE, and (h) BUN in the serum from different mouse groups. Each point represents the mean ± S.E.M. (n = 3; *p < 0.05). Figure S4. Blood test results from mice with different treatments. Each point represents the mean ± S.E.M. (n = 3; *p < 0.05). Figure S5. Histological analysis of the five principle organs (heart, liver, spleen, lung, and kidney) from the mice with the treatment of MLNPs via i.v. and oral routes (Scale bar = 200 µm, n = 3). Figure S6. (a) The organ index and (b) histological analysis of the four principle organs (heart, spleen, lung, and kidney) from mice with different treatments (Scale bar = 200 µm). Each point represents the mean ± S.E.M. (n = 5)

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gao, Q., Chen, N., Li, B. et al. Natural lipid nanoparticles extracted from Morus nigra L. leaves for targeted treatment of hepatocellular carcinoma via the oral route. J Nanobiotechnol 22, 4 (2024). https://doi.org/10.1186/s12951-023-02286-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12951-023-02286-3

Keywords