Abstract
Although a number of experimental models have been developed for liver research, each has its own advantages and disadvantages. The present study attempted to develop a simple and effective 3-dimensional mouse liver microsphere tissue culture (LMTC) model in vitro for the analysis of hepatic functions. Hepatic characteristics and potential applications of this model were compared with that of mouse model in vivo and mouse primary hepatocytes in vitro. Using freshly-perfused mouse liver tissue passed through 80-mesh sift strainer (sift80), it was demonstrated that under the optimal culture conditions, the sift80 microsphere tissue cultured in 2% bovine calf serum medium remained viable with marked proliferating cell nuclear antigen and anti-Myc proto-oncogene protein expression, exhibited normal hepatic functions including indocyanine green (ICG) uptake/release and periodic acid-Schiff staining, and expressed hepatocyte-specific genes for up to 2 weeks. The microsphere tissue was responsive to bone morphogenic protein 9 (BMP9) stimulation leading to upregulation of downstream targets of BMP9 signaling. Furthermore, 3 commonly-used liver-damaging drugs were indicated to effectively inhibit hepatic ICG uptake, and induce the expression of hepatotoxicity-associated genes. Therefore, this simplified LMTC model may be a useful in vitro tissue culture model to investigate drug-induced liver injury and metabolism, and hepatocyte-based cell singling.
Key words: primary liver tissue culture, exogenous investigation, hepatotoxicity prediction
Introduction
The liver serves a complex and vital role in metabolism, synthesis, storage and redistribution of nutrients, carbohydrates, fats and vitamins in the body (1-3). It is one of the few organs that has retained a high regenerative potential, allowing the recovery of >50% of its total mass following damage or loss excretion (1,2,4,5). The functional units of the liver are organized into lobules, which are subsequently organized into larger lobes (1). Lobules consist of multiple hepatic sinusoids, where the flow of blood from the portal triad to the central vein contributes to a zonation based on decreasing oxygen tension, which affects both the parenchymal (hepatocytes) and non-parenchymal cells (NPCs) (1). The hepatocytes account for 60% of the cell population and are responsible for the biological functions of the liver, while the NPCs comprise the remaining 40% of the cell population and serve an important role in maintaining tissue architecture, mediating responses to metabolic and toxic stimuli, and in supporting hepatocyte functions (1). NPCs contain multiple cell types, including liver sinusoidal endothelial cells, Kupffer cells, hepatic stellate cells, and pit cells (natural killer cells) (1). Given the vital roles of the liver, severe liver damage under pathological conditions may lead to high morbidity and mortality, and liver diseases represent a growing global health burden.
The liver is also the major organ responsible for detoxifying drugs, chemical wastes and xenobiotics through biotransformation (1,2,4,5). As a result, the liver is the most important target for drug-induced toxicity (6). Drug-induced liver injury (DILI) is a significant leading cause of acute, chronic liver disease and an important safety issue when developing new drugs (1,3,6-11). For example, in the United States of America ~2,000 cases of acute liver failure occur annually; DILI accounts for >50% of these, among which 37% are caused by acetaminophen and 13% are idiosyncratic reactions caused by other medications (11). Furthermore, DILI accounts for 2-5% of the patients hospitalized with jaundice and ~10% of all cases of acute hepatitis (11). Therefore, it is essential to develop valid models to assess and/or predict drug hepatotoxicity.
In previous decades, numerous in vitro and in vivo models have been developed to assess drug-induced hepatotoxicity, particularly for novel drug development (1,3,6-10,12). In vivo animal models have been used to assess hepatotoxicity, although such models are usually expensive and time-consuming. Furthermore, animal models are not always good predictors of human-relevant DILI, owing to significant species-specific differences in drug metabolism pathways (3,13,14), although big data approaches may improve the concordance of the toxicity of pharmaceuticals in animals and humans (15). Conversely, the majority of in vitro assay models involve the use of primary hepatocytes, established liver cell lines, liver slices, microsomes, perifusion culture systems, co-culture systems, bioreactors, liver 'organ-on-chip', and/or liver organoids, each of which has its own advantages and disadvantages (1,3,6-10,12,14,16-24). An ideal in vitro hepatic function assessment model should retain the normal architecture of hepatocytes and NPCs, and be easy to construct. (1,3,6-10,12,14,16-24).
The present study aimed to establish a highly simplified yet effective 3-dimensional (3D) mouse liver microsphere tissue culture (LMTC) model to assess hepatic functions that may be impaired by hepatotoxins through a comparison of primary hepatocytes and a mouse model. By freshly preparing perfused mouse liver tissue with 80-mesh sift strainer, it was demonstrated that the liver microsphere tissue exhibited normal hepatic functions for up to 2 weeks and exhibited normal hepatic functions; however, apparent tissue degradation and debris release, along with diminished hepatic functions, were observed in the 2-week microsphere culture. It was also demonstrated that the microsphere tissue was responsive to bone morphogenic protein 9 (BMP9) stimulation with the upregulation of numerous downstream target genes of BMP9 signaling. Furthermore, it was revealed that 3 commonly used drugs, levofloxacin, azithromycin and paracetamol, effectively inhibited hepatic indocyanine green (ICG) uptake and induced higher expression levels of hepatotoxicity-associated genes compared with that of the animals treated with these drugs in vivo, suggesting that the LMTC model may be more sensitive in detecting and predicting drug-associated hepatotoxicity. Therefore, the simplified LMTC model should be useful for drug hepatotoxicity and hepatocyte-based singling studies.
Materials and methods
Cell culture and chemicals
Mouse primary hepatocytes (MPH) were obtained from 4-week-old C57 mice using a previously described type I collagenase liver perfusion protocol (19,25-30). 293-Derived 293pTP cells were previously described (25,31). The human colon cancer HCT116 cell line were obtained from the American Type Culture Collection. The cells were maintained in complete Dulbecco's modified Eagle's medium (DMEM) supplemented with 10% FBS (Lonsa Science SRL), 100 U penicillin and 100 μg streptomycin at 37°C in 5% CO2. Levofloxacin, azithromycin and paracetamol were purchased from Sigma-Aldrich; Merck KGaA. Unless indicated otherwise, all other reagents were purchased from Thermo Fisher Scientific, Inc. or Sigma-Aldrich; Merck KGaA.
Mouse perfusion and liver tissue recovery, and the establishment of mouse LMTC model
The use and care of animals in the present study was approved by the Research and Experimental Animal Use Ethics Committee of Chongqing Medical University (Chongqing, China; permit no. SCXK(YU)20070001). All animal experiments were performed in accordance with US National Institutes of Health Guide for the Care and Use of Laboratory Animals (32). The 4-week-old C57BL/6 male mice were obtained from the Animal Resource Center of Chongqing Medical University.
Anesthesia was performed using intraperitoneal injection of 3% sodium pentobarbital at a dose of 50 mg/kg. Harvesting of mouse liver tissue was performed according to a modified liver perfusion protocol (33-37). Specifically, following anesthesia of the mice, following aseptic techniques, an incision was made in upper-middle abdomen across the abdominal and chest cavities to expose the liver and heart. Following the blockade of the right heart circulation, perfusion of ~15 ml cold sterile PBS was rapidly performed from the left ventricular until the liver turned pale. Concomitantly, the rapid intra-cardiac perfusion led to acute cardiac arrest and mortality of the mice, which was additionally confirmed by cervical dislocation. Mice in the control non-perfusion group were sacrificed with CO2, followed by cervical dislocation.
The liver was resected and rinsed in PBS twice in 10-cm cell culture dishes, and then cut into small tissue pieces with ophthalmic scissors, followed by passing the minced liver tissue through 80-mesh (sift80) or 200-mesh (sift200) cell strainer/filter. The recovered microsphere tissue pieces were washed with sterile PBS by low speed centrifugation [500 × g for 5 min at room temperature (RT)], and immediately used for the in vitro culture assays as described subsequently.
To establish the LMTC model, the recovered liver microsphere tissue pieces were cultured in 24-well plates with various concentrations of FBS and/or bovine calf serum (BCS; Sijiqing; Zhejiang Tianhang Biotechnology Co., Ltd.) containing 100 U penicillin and 100 μg streptomycin at 37°C in 5% CO2. Medium was changed daily for the first 3 days, and then changed every other day.
Amplification and titering of recombinant adenoviruses expressing BMP9 or green fluorescent protein (GFP)
Recombinant adenoviruses were generated by using the AdEasy technology and amplification as described previously (38-40). The Recombinant adenovirus Ad-BMP9 was previously characterized (41-45). Ad-BMP9 also co-expresses enhanced GFP. An analogous adenovirus expressing GFP (Ad-GFP) was used as a mock virus control. For all adenoviral infections, polybrene (4-8 μg/ml) was added to potentiate infection efficiency as described previously (46).
Preparation of BMP9-conditioned medium from HCT116 cells
The preparations for BMP9 conditioned medium were performed as previously described (45). Briefly, subconfluent HCT116 cells were infected with the optimal titer (MOI =50) of Ad-BMP9. At 24 h after infection, the culture was changed to serum-free Opti-MEM media (Thermo Fisher Scientific, Inc.). The media were collected every 12 h for 4 times consecutively. The pooled BMP9 conditioned medium was centrifuged at 500 × g for 10 min at RT to remove any cell debris, aliquoted and stored at −80°C. The control conditioned medium was also prepared in the same fashion from Ad-GFP infected HCT116 cells (45,47).
Hematoxylin and eosin (H&E) staining and Hoechst33258 staining
The recovered liver tissue was rinsed with PBS, fixed with 4% paraformaldehyde for 30 min at RT, and subjected to H&E staining as described previously (48-50). The fixed tissue was also stained with Hoechst33258 (10 μg/ml Hoechst 33258 in PBS) for 5 min at RT, examined and recorded under a fluorescence microscope (magnification, ×200).
Immunohistochemical (IHC) and immunofluorescence (IF) staining on liver microsphere tissue
The IHC and IF staining of the liver microsphere tissue were performed as described previously (51-53). The recovered liver tissue was fixed with 4% paraformaldehyde for 30 min at RT, followed by antigen retrieval and immunostaining with anti-proliferating cell nuclear antigen (PCNA; 1:100-1:200; cat. no. 13110; Cell Signaling Technology, Inc.) or anti-Myc proto-oncogene protein (c-Myc; 1:100-1:200; cat. no. ab39688; Abcam) antibodies. Control rabbit IgG (1:200; cat. no. 011-000-003; Jackson ImmunoResearch Laboratories, Inc.) was used as a negative control.
ICG uptake/release assay
The ICG uptake/release assay was performed as described previously (30). Briefly, recovered liver tissue and cells were washed with PBS and incubated with ICG (1 mg/ml in complete DMEM) at 37°C for 30 min, followed by two washes with PBS. For ICG release detection, the ICG-containing medium was replaced with 2% BCS DMEM, and the tissue and cells were incubated for an additional 3 h at 37°C in a cell culture incubator. ICG uptake/release was observed and recorded under a bright field microscope (magnification, ×200).
Periodic acid-Schiff (PAS) staining
PAS staining was performed as described previously (19,27,28,30). Briefly, recovered liver tissue was fixed with 4% paraformaldehyde for 30 min at RT, followed by staining with 0.5% periodic acid solution for 5 min at RT. Following rinsing in distilled water for 3 min, the tissues were incubated in the Schiff's reagent for 15 min, followed by thorough rinsing with tap water. Cell staining was recorded under a bright field microscope (magnification, ×200).
Total RNA isolation and touchdown reverse transcription- quantitative polymerase chain reaction (TqPCR) analysis
Total RNA from both tissue and cells was isolated by using TRIzol reagent (CoWin Biosciences) according to the manufacturer's protocol. The perfused mouse liver tissues from normal 6-week-old C57BL/6 mice (n=5 males/group) and drug or PBS-treated 6-week-old C57BL/6 mice (n=5 males/group) were dissected out and homogenized in the TRIzol reagent. The recovered liver tissue and cells were lysed in TRIzol reagent. Total RNA was extracted and subjected to reverse transcription reactions with hexamer and M-MuLV reverse transcriptase (New England Biolabs, Inc.). The cDNA products were additionally diluted and used as PCR templates. The gene-specific PCR primers (Table SI) were designed using Primer3 Plus (http://www.bioinformatics.nl/cgi-bin/primer-3plus/primer3plus.cgi). TqPCR was performed using SYBR Green-based TqPCR analysis on a CFX-Connectunit system (Bio-Rad Laboratories, Inc.), as described previously (54). TqPCR reactions were performed in triplicate. GAPDH was used as the reference gene. Quantification of gene expression was performed using the 2−ΔΔCq method (55).
WST-1 cell proliferation assay
Cell proliferation was assessed using the Premix WST-1 Cell Proliferation Assay System (Clontech Laboratories, Inc.), as described previously (56-59). The MPH seeded in 96-well plates at 6,000 cells/well were treated with levofloxacin (at 1, 5 and 25 μM), azithromycin (at 25, 125 and 625 nM), paracetamol (at 20, 100 and 500 μM) or DMSO for 24, 48 or 72 h. The Premix WST-1 Reagent was added to each well, followed by incubation at 37°C for 60 min and reading at 440 nm using the EL800 microplate reader (BioTek Instruments, Inc.). Each assay was performed in triplicate.
Statistical analysis
All quantitative experiments were performed in triplicate and/or repeated 3 times. Data are presented as mean ± standard deviation. Significant differences between groups were determined using a one-way analysis of variance followed by a Least Significant Difference post hoc test. P<0.05 was considered to indicate a statistically significant difference.
Results
Optimization of the culturing conditions for the 3D LMTC model using mouse liver tissue
Liver tissue is rich in blood cells and lipofuscin, pyridine (NADPH) and flavin coenzymes, which are common causes of high auto-fluorescence. To minimize the cytotoxicity and auto-fluorescence caused by blood cell disintegration, left ventricular perfusion was performed to remove intrahepatic blood in the anesthetized mice (Fig. 1A-a). The liver tissue was prepared in different sizes by sifting through sift80 or sift200 filter strainers, and the microsphere tissue preparations were cultured in different concentrations of FBS or BCS-containing DMEM (Fig. 1A-b). The perfused liver tissue culture exhibited significantly decreased auto-fluorescence at 24 and 72 h after culturing, compared with culture established with tissue from the non-perfusion group (Fig. 1A-c).
When the liver microsphere tissue sifted with the sift80 strainer was cultured with 0, 2 or 10% FBS or BCS DMEM medium, followed by medium change every day for the first 3 days, and then every other day for the rest of the study period, it was identified that the microsphere tissue was in the healthiest state in 2% BCS medium (Fig. 1B-a).
It was also identified that non-sifted liver tissue pieces were mostly suspended in 2% BCS medium, and the sift80 tissue was mostly attached to the bottom of the culture plates and grew healthily for up to 14 days in 2% BCS medium (Fig. 1B-b). Notably, the sift200 microsphere tissue was demonstrated to grow somewhere in between that of the non-sifted tissue and sift80 microsphere tissue at day 7, but significantly deteriorated at day 14 (Fig. 1B-b). It is noteworthy that, although the LMTC culture could be passaged 1 to 2 times, the percentage of viable cells that survived the passages was rather low, at <10% (data not shown). Collectively, these results indicated that the optimal LMTC culturing conditions should include preparation of the mouse liver tissue with 80-mesh sift strainer and culturing of the sift80 microsphere tissue in 2% BCS/DMEM medium with daily medium change for the first 72 h, and then once every 2 days thereafter.
Proliferative and apoptotic characteristics of the 3DLMTC model
The long-term survival of the LMTC model was additionally analyzed by culturing sift80 microspheres in 2% BCS/DMEM for up to 14 days. H&E staining of the sift80 microsphere tissue in 2% BCS/DMEM was performed and it was identified that the cellularity was preserved at the 3 time-points examined (days 3, 7 and 14), although the microsphere tissue scaffolds became loose and disintegrated to a certain extent (Fig. 2A-a). Accordingly, the Hoechst 33258 staining assay indicated that the majority of the cell nuclei were readily visible without any apparent fragmentation (Fig. 2A-b).
It was also identified that the sift80 microsphere tissue exhibited strong positive staining for PCNA at days 3 and 7, with a decreased level of staining at day 14 (Fig. 2A-c, top row). Similarly, high levels of c-Myc expression were observed at days 3 and 7, although the levels had significantly decreased by day 14 (Fig. 2A-c, bottom row). These IHC staining results were further confirmed by IF staining. As liver tissue exhibits auto-fluorescence, Sudan Black B was employed to effectively suppress background fluorescence (Fig. 2B-a). IF staining with PCNA and c-Myc antibodies indicated that the sift80 microspheres markedly expressed both PCNA and c-Myc at day 7, but that the levels were rather weak at day 14. Taken together, these results demonstrate that the sift80 microspheres may be healthily maintained for at least 7 days, and potentially for up to 14 days.
Hepatic functional characteristics of the 3D LMTC model
To determine whether the cultured microsphere tissue exhibited normal liver functions, ICG uptake/release and Periodic Acid-Schiff (PAS) staining of glycogen storage assays were performed, which are liver-specific functions (19,28,60). It was identified that the sift80 microsphere tissue cultured at days 3 and 7, and to a lesser extent at day 14, was able to uptake ICG effectively (Fig. 3A-a). Conversely, it was demonstrated that the ICG was effectively released from the cultured sift80 microsphere tissue at the 3 time points examined (Fig. 3A-b). Furthermore, marked PAS staining of the cultured sift80 microsphere tissues indicated that the hepatocytes were viable and healthy, particularly at days 3 and 7 (Fig. 3B). These results suggested that the sift80 microsphere tissue may retain normal hepatic functions under the in vitro culture conditions for up to 14 days.
To additionally determine whether the in vitro culture would affect hepatic gene expression pattern, the expression profiles of a panel of eight hepatocyte-specific genes were compared (19,27,28,30,61-63) in the cultured microspheres and that of the freshly-isolated mouse liver tissue and the MPH. Using TqPCR analysis, it was identified that cytochrome P450 family 1 subfamily Amember 2, cytochrome P450 family 3 subfamily Amember 4, microsomal glutathione S-transferase 1 and albumin (Alb), and to a lesser extent cytochrome P450 2A5 and Maob, were highly expressed in the sift80 microsphere tissue cultured at days 3, 7 and 14, and in the freshly-prepared mouse liver tissue and in the MPH, although their expression in the sift80 microsphere tissue samples decreased over time (Fig. 3C). Conversely, the expression levels of α fetoprotein and MET proto-oncogene, receptor tyrosine kinase were low or undetectable in all samples (Fig. 3C). The hepatic gene expression in the microsphere tissue samples appeared to decrease over time, particularly at day 14, which may be indicative of lower viability of the microsphere tissue after culture for 2 weeks. Collectively, these results demonstrated that the LMTC samples exhibited a normal hepatic gene expression profile under the in vitro culture conditions for at least 7 days, and potentially up to 14 days, although the 2-week microsphere culture exhibited apparent morphological changes with signs of tissue degradation and tissue debris (data not shown). Therefore, considering the morphological changes and the diminished hepatic functions and gene expression profile of the 2-week microsphere culture, the LMTC microspheres' viability may be limited to no longer than 2 weeks under the culture conditions of the present study.
3D LMTC model for hepatocyte-based cell signaling investigation
Whether the LMTC model could be used to study the cell-based signaling pathways that may be involved in the effective delivery of transgenes into the microsphere tissue or exposure to secreted growth factors was examined. Whether the mouse liver microsphere tissue could be effectively transduced with recombinant adenoviruses, which represent one of the most effective gene delivery approaches, was first investigated. Considering the fact that the liver tissue may exhibit different proliferative potential at different ages, sift80 microsphere tissues from newborn, 14-day-old and 28-day-old mouse liver tissue were prepared, and then infected with the same titer of adenovirus Ad-GFP. Only sparsely infected GFP+ hepatocytes were detected in the sift80 microsphere tissue prepared from newborn mice at days 3 and 7, while GFP+ cells were very few or undetectable in the microsphere tissue from 14-day-old and 28-day-old mouse liver tissue; the Ad-GFP-infected MPH cells were used for the control (Fig. 4A). In fact, the adenovirus-mediated transgene delivery to whole mouse liver tissue was analyzed in vitro at 0, 3, 7, 10 and 14 days after birth, and only sparsely distributed, focal Ad-GFP infection was observed (data not shown). These results suggest that mouse liver tissues, whilst viable in culture, may have limited intrinsic proliferative potential for transgene expression in vitro.
Whether liver microsphere tissues were responsive to signal molecule stimulation was then examined. It has been previously demonstrated that BMP9 is a highly expressed secreted protein in fetal mouse liver tissues, and that it exerts pleiotropic effects on stem cell proliferation and differentiation (41-43,64-68). The BMP9-containing conditioned medium was first prepared by infecting HCT116 cells with Ad-BMP9, as described previously (45,47,69), while the Ad-GFP-infected HCT116 cells were used to prepare for the control conditioned medium (Fig. S1). A high level of BMP9 expression in the Ad-BMP9-infected HCT116, but not in the Ad-GFP infected cells, was confirmed by qPCR (Fig. S1). The BMP9-conditioned medium and GFP control medium were used to stimulate the freshly prepared sift80 microsphere tissue (Fig. 4B). At 3, 7 and 14 days post-BMP9 stimulation, total RNA was isolated and TqPCR analysis of BMP9 downstream target genes was performed as described previously (65,70-73). It was identified that the BMP9 downstream early responsive genes, Smad6 and Smad7, were significantly upregulated at day 3, while other target genes including inhibitor of DNA binding 1, HLH protein, inhibitor of DNA binding 2, connective tissue growth factor and cellular communication network factor 1 were significantly upregulated at days 3 and 7. However, the expression of the majority of the target genes significantly decreased to basal level at day 14 of culturing. Taken together, these results suggested that mouse liver microsphere tissues, whilst not serving as an ideal recipient for transgene delivery, may be used as an effective in vitro 3D model system for cytokine or growth factor-based cell signaling studies.
3D LMTC model for drug-induced hepatotoxicity assays
As DILI remained the leading cause of acute liver failure and post-market drug withdrawals (5), whether the liver microspheres could be used to assess the hepatotoxicity induced by liver injury drugs was assessed. A total of 3 commonly-used hepatotoxic drugs, levofloxacin, azithromycin and paracetamol, were selected. Using a WST-1 cell proliferation assay, it was identified that the 3 drugs inhibited cell proliferation rates of the MPH in a dose- and time-dependent manner (Fig. 5A). Therefore, the following optimal doses were selected for subsequent in vitro studies: Levofloxacin at 5 μM (Fig. 5A-a), azithromycin at 125 nM (Fig. 5A-b) and paracetamol at 100 μM (Fig. 5A-c).
The effects of the 3 drugs on ICG uptake in the MPH and the freshly prepared sift80 microspheres were analyzed. When subconfluent MPH cells were treated with levofloxacin (5 μM), azithromycin (125 nM), paracetamol (100 μM) or DMSO control, the ICG uptake was remarkably inhibited by all 3 drugs at both 24 h and 72 h, compared with that of the DMSO control group (Fig. 5B-a). However, when the sift80 microsphere tissue was treated with levofloxacin (5 μM), azithromycin (125 nM), paracetamol (100 μM) or DMSO control, the ICG uptake was not significantly inhibited by the 3 drugs at 24 h, but was markedly inhibited at 72 h, compared with the DMSO control group (Fig. 5B-b). Therefore, these results demonstrate that the mouse liver microsphere tissue culture model may be used as an effective in vitro surrogate system to assess the hepatic functional abnormality caused by hepatotoxic drugs.
Whether the LMTC model was able to predict the hepatotoxicity that was closely correlated with the hepatotoxic effects obtained from in vivo animal studies was also examined. The mice were treated with the levofloxacin, azithromycin, paracetamol or DMSO control, and mouse liver tissue was collected at 24 h or 72 h after treatment. Concomitantly, the subconfluent MPH and freshly-prepared sift80 microsphere samples were treated with levofloxacin, azithromycin, paracetamol or DMSO. Total RNA was isolated from the drug-treated mouse liver tissues, the MPH and the sift80 microspheres for quantitative analysis of the expression of a panel of 5 hepatotoxicity-associated genes, including ATP binding cassette subfamily B member 11 (Abcb11), cytochrome P450 family 2 subfamily E member 1 (Cyp2e1), cytochrome P450 family 7 subfamily Amember 1, nuclear receptor subfamily 0 group B member 2 (Nr0b2) and nuclear receptor subfamily 1 group H member 4 (74-76). In the levofloxacin-treated mouse liver tissue, MPH and sift80 microsphere tissue groups, while the majority of the hepatotoxicity-associated genes (with the exception of Nr0b2 in the mouse liver group) were not significantly upregulated at 24 h post treatment, 2/5 genes (Abcb11 and Nr0b2) in the mouse liver group, all 5 genes in the MPH group, and 4/5 genes in the sift80 microsphere tissue group were significantly upregulated at 72 h after treatment (Fig. 6A). In the azithromycin treatment groups, while all 5 genes were repressed at 24 h, all 5 genes were highly upregulated in all three groups (with the exception of Cyp2e1 in the MPH group) at 72 h after treatment (Fig. 6B). Similar results were observed in the paracetamol treatment groups, and all 5 genes were highly upregulated in all three groups (with the exception of Cyp2e1 in the mouse liver group) at 72 h after treatment (Fig. 6C). Notably, for the 3 drugs examined, the magnitudes of gene expression upregulation were increased in the sift80 microsphere tissue groups compared with that in the mouse liver groups at the 72 h treatment time point, suggesting that the LMTC model may be more sensitive in predicting drug-associated hepatotoxicity.
Discussion
In the present study, a simple yet effective 3D microsphere culture system of a mouse liver was successfully developed. By freshly preparing the perfused mouse liver tissue with an 80-mesh sift strainer, it was demonstrated that, under the optimal culture condition of 2% BCS/DMEM, the microspheres remained viable with marked PCNA and c-Myc expression, and exhibited normal hepatic functions, including ICG uptake/release and glycogen synthesis/storage, for up to 2 weeks. However, morphological analysis of cells after 2 weeks of culture revealed tissue degradation and observation of tissue debris, together with diminished hepatic function and gene expression, indicating that the viability of the microspheres may be limited to <2 weeks. It was also demonstrated that the cultured microspheres exhibited a similar expression profile of hepatocyte-specific genes to that of the freshly isolated mouse liver tissue. While the microspheres exhibited limited intrinsic proliferative potential for transgene expression, it was demonstrated that the microspheres were responsive to BMP9 stimulation, and numerous downstream target genes of BMP9 signaling were effectively upregulated. Furthermore, using 3 commonly-used drugs, levofloxacin, azithromycin and paracetamol, it was revealed that the 3 drugs effectively inhibited hepatic ICG uptake at 72 h after treatment and induced increased expression levels of hepatotoxicity-associated genes compared with that of the animals treated with these drugs in vivo, suggesting that the LMTC model may be more sensitive in detecting the expression of hepatotoxicity-associated genes, and therefore more sensitive in predicting drug-associated hepatotoxicity.
The liver serves a critical role in biotransformation and disposition of drugs or xenobiotics. As a result, hepatotoxicity may be caused by a wide range of pharmaceutical agents, natural products, chemicals, environmental pollutants or dietary factors (21,77). In fact, hepatotoxicity or DILI is a major cause for drug withdrawals worldwide (22). Commonly-used techniques to assess DILI effects include in vivo animal models and various in vitro models (14,21-23). While the in vivo animal models may more accurately predict drug hepatotoxicity, they are more costly and time-consuming to perform (14,23). Overall, the development of in vitro liver models to study disease and the prediction of metabolism and drug-induced liver injury in humans remains a challenge (78). Therefore, in vivo models are used for the advanced stages of drug development.
There have been numerous attempts to establish ideal in vitro hepatotoxicity assessment systems, which include the uses of primary hepatocytes or established liver cell lines alone or in co-culture with other cell types in 2D and 3D formats, including liver slices, microsomes, perifusion culture systems, co-culture systems, bioreactors, liver 'organ-on-chip' and/or liver organoids (1,3,6-10,12,14,16-24).
The use of primary hepatocytes alone or in a co-culture format is largely limited by the inefficient recovery of primary cells from liver tissue (77,79), which may be easily overcome by the LMTC microsphere tissue culture system described in the present study. Liver cancer lines and/or immortalized liver cell lines are also used as an alternative to primary hepatocytes in these models, although these cell types may not be able to completely replicate the biological characteristics of primary hepatocytes (3,10,19,22,24). In these system, protein and urea synthesis, glucose metabolism and cytochrome (CYP450) activities were stable over a 2-week culture period, with maximal activities at the end of the first week in the majority of models (80,81). Nonetheless, the maintenance of functional primary hepatocytes cultures has been difficult, due to dedifferentiation and the consequent loss of hepatic function with limited utility (78).
Compared with the hepatocytes cultured in 2D format, 3D hepatocyte culture, such as the LMTC system described in the present study, should result in improved replication of the morphological structure and growth microenvironment of liver cells (3,7,10), as 3D culture models have been demonstrated to be beneficial for cell viability in other organ systems (50,82,83). In other models, the liver slices were prepared by using a tissue slice with a 10-mm diameter motor-driven tissue-coring tool in cold oxygenated (95% O2 and 5%CO2) (16,18). Precision-cut liver slices have been used for the investigation of hepatic metabolism, hepatotoxicity and enzyme induction (8). An advantage of using liver slices is the potential for examining the toxic effects on hepatocytes that are mediated by nonparenchymal cells, as the physiological liver microarchitecture is maintained in cultured slices (8). The liver microsomes were prepared by homogenizing the liver tissue with a Potter glass homogenizer equipped with a Teflon pestle followed by ultracentrifugation (18,20,84). It has been demonstrated that long-term stable primary hepatic 3D spheroid cultures in chemically defined conditions may be used to predict drug-induced hepatotoxicity (85). In future studies, the liver microphysiological systems, also referred to as 'liver-on-a-chip', present the opportunity to explore system/organ level effects without using animal experimentation (1,3,78). However, the complexity of the systems and the requirements of the equipment make the wider application of a number of these techniques difficult across the various fields of liver research. Conversely, the LMTC microsphere tissue culture system described in the present study is simple, effective and biologically relevant in terms of replicating hepatic functions in vitro.
In summary, compared with a number of the aforementioned hepatotoxicity assessment systems, the LMTC model described in the present study was relatively simple and easy to prepare, and yet highly effective and reproducible. This microsphere tissue model system required minimal resources and could be maintained for up to 2 weeks. Therefore, this system may be a valuable tool to assess drug-induced hepatotoxicity and metabolism, and to investigate hepatocyte-based cell signaling mechanisms.
Supplementary Data
Acknowledgements
Not applicable.
Funding
The present study was supported in part by research grants from the 2017 Chongqing Postdoctoral Innovation Talent Support Program (JMF), the China Postdoctoral Research Fund (grant no. 2018M643426 to JMF) and the National Key Research and Development Program of China (grant nos. 2016YFC1000803 and 2011CB707906). TCH was also supported by the Mabel Green Myers Research Endowment Fund and The University of Chicago Orthopaedic Surgery Alumni Fund.
Availability of data and materials
All data generated or analyzed during this study are included in this published article.
Authors' contributions
YZ, QP, YG, TY and YC performed the experiments. JF, HW and YL analyzed the data, and contributed to data analysis and experimental materials. JF, TCH, QS and AH conceptualized the study design. JF and TH wrote the manuscript. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The use and care of animals in the present study was approved by the Research and Experimental Animal Use Ethics Committee of Chongqing Medical University.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
- 1.Beckwitt CH, Clark AM, Wheeler S, Taylor DL, Stolz DB, Griffith L, Wells A. Liver 'organ on a chip'. Exp Cell Res. 2018;363:15–25. doi: 10.1016/j.yexcr.2017.12.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Si-Tayeb K, Lemaigre FP, Duncan SA. Organogenesis and development of the liver. Dev Cell. 2010;82:175–189. doi: 10.1016/j.devcel.2010.01.011. [DOI] [PubMed] [Google Scholar]
- 3.Ware BR, Khetani SR. Engineered liver platforms for different phases of drug development. Trends Biotechnol. 2017;35:172–183. doi: 10.1016/j.tibtech.2016.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Thapa BR, Walia A. Liver function tests and their interpretation. Indian J Pediatr. 2007;74:663–671. doi: 10.1007/s12098-007-0118-7. [DOI] [PubMed] [Google Scholar]
- 5.Kaplowitz N. Idiosyncratic drug hepatotoxicity. Nat Rev Drug Discov. 2005;4:489–499. doi: 10.1038/nrd1750. [DOI] [PubMed] [Google Scholar]
- 6.Jaeschke H, Gores GJ, Cederbaum AI, Hinson JA, Pessayre D, Lemasters JJ. Mechanisms of hepatotoxicity. Toxicol Sci. 2002;65:166–176. doi: 10.1093/toxsci/65.2.166. [DOI] [PubMed] [Google Scholar]
- 7.Godoy P, Hewitt NJ, Albrecht U, Andersen ME, Ansari N, Bhattacharya S, Bode JG, Bolleyn J, Borner C, Böttger J, et al. Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME. Arch Toxicol. 2013;87:1315–1530. doi: 10.1007/s00204-013-1078-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Gebhardt R, Hengstler JG, Müller D, Glöckner R, Buenning P, Laube B, Schmelzer E, Ullrich M, Utesch D, Hewitt N, et al. New hepatocyte in vitro systems for drug metabolism: metabolic capacity and recommendations for application in basic research and drug development, standard operation procedures. Drug Metab Rev. 2003;35:145–213. doi: 10.1081/DMR-120023684. [DOI] [PubMed] [Google Scholar]
- 9.Bhushan A, Senutovitch N, Bale SS, McCarty WJ, Hegde M, Jindal R, Golberg I, Berk Usta O, Yarmush ML, Vernetti L, et al. Towards a three-dimensional microfluidic liver platform for predicting drug efficacy and toxicity in humans. Stem Cell Res Ther. 2013;4(Suppl 1):S16. doi: 10.1186/scrt377. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Soldatow VY, Lecluyse EL, Griffith LG, Rusyn I. In vitro models for liver toxicity testing. Toxicol Res (Camb) 2013;2:23–39. doi: 10.1039/C2TX20051A. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Pandit A, Sachdeva T, Bafna P. Drug-induced hepatotoxicity: A review. J Appl Pharm Sci. 2012;2:233–243. [Google Scholar]
- 12.Groneberg DA, Grosse-Siestrup C, Fischer A. In vitro models to study hepatotoxicity. Toxicol Pathol. 2002;30:394–399. doi: 10.1080/01926230252929972. [DOI] [PubMed] [Google Scholar]
- 13.Olson H, Betton G, Robinson D, Thomas K, Monro A, Kolaja G, Lilly P, Sanders J, Sipes G, Bracken W, et al. Concordance of the toxicity of pharmaceuticals in humans and in animals. Regul Toxicol Pharmacol. 2000;32:56–67. doi: 10.1006/rtph.2000.1399. [DOI] [PubMed] [Google Scholar]
- 14.Maes M, Vinken M, Jaeschke H. Experimental models of hepatotoxicity related to acute liver failure. Toxicol Appl Pharmacol. 2016;290:86–97. doi: 10.1016/j.taap.2015.11.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Clark M, Steger-Hartmann T. A big data approach to the concordance of the toxicity of pharmaceuticals in animals and humans. Regul Toxicol Pharmacol. 2018;96:94–105. doi: 10.1016/j.yrtph.2018.04.018. [DOI] [PubMed] [Google Scholar]
- 16.Granhall C, Floby E, Nordmark A, Orzechowski A, Thorne A, Tybring G, Sohlenius-Sternbeck AK. Characterization of testosterone metabolism and 7-hydroxycoumarin conjugation by rat and human liver slices after storage in liquid nitrogen for 1 h up to 6 months. Xenobiotica. 2002;32:985–996. doi: 10.1080/0049825021000012646. [DOI] [PubMed] [Google Scholar]
- 17.Omura T, Sato R. The carbon monoxide-binding pigment of liver microsomes. I. Evidence for its hemoprotein nature. J Biol Chem. 1964;239:2370–2378. [PubMed] [Google Scholar]
- 18.Houston JB, Carlile DJ. Prediction of hepatic clearance from microsomes, hepatocytes, and liver slices. Drug Metab Rev. 1997;29:891–922. doi: 10.3109/03602539709002237. [DOI] [PubMed] [Google Scholar]
- 19.Bi Y, He Y, Huang J, Su Y, Zhu GH, Wang Y, Qiao M, Zhang BQ, Zhang H, Wang Z, et al. Functional characteristics of reversibly immortalized hepatic progenitor cells derived from mouse embryonic liver. Cell Physiol Biochem. 2014;34:1318–1338. doi: 10.1159/000366340. [DOI] [PubMed] [Google Scholar]
- 20.Cogger VC, O'Reilly JN, Warren A, Le Couteur DG. A standardized method for the analysis of liver sinusoidal endothelial cells and their fenestrations by scanning electron microscopy. J Vis Exp. 2015;98:e52698. doi: 10.3791/52698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Bale SS, Moore L, Yarmush M, Jindal R. Emerging in vitro liver technologies for drug metabolism and inter-organ interactions. Tissue Eng Part B Rev. 2016;22:383–394. doi: 10.1089/ten.teb.2016.0031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Bale SS, Vernetti L, Senutovitch N, Jindal R, Hegde M, Gough A, McCarty WJ, Bakan A, Bhushan A, Shun TY, et al. In vitro platforms for evaluating liver toxicity. Exp Biol Med (Maywood) 2014;239:1180–1191. doi: 10.1177/1535370214531872. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Bhakuni GS, Bedi O, Bariwal J, Deshmukh R, Kumar P. Animal models of hepatotoxicity. Inflamm Res. 2016;65:13–24. doi: 10.1007/s00011-015-0883-0. [DOI] [PubMed] [Google Scholar]
- 24.May JE, Xu J, Morse HR, Avent ND, Donaldson C. Toxicity testing: The search for an in vitro alternative to animal testing. Br J Biomed Sci. 2009;66:160–165. doi: 10.1080/09674845.2009.11730265. [DOI] [PubMed] [Google Scholar]
- 25.Seglen PO. Preparation of isolated rat liver cells. Methods Cell Biol. 1976;13:29–83. doi: 10.1016/S0091-679X(08)61797-5. [DOI] [PubMed] [Google Scholar]
- 26.Bi Y, Gong M, Zhang X, Zhang X, Jiang W, Zhang Y, Chen J, Liu Y, He TC, Li T. Pre-activation of retinoid signaling facilitates neuronal differentiation of mesenchymal stem cells. Dev Growth Differ. 2010;52:419–431. doi: 10.1111/j.1440-169X.2010.01182.x. [DOI] [PubMed] [Google Scholar]
- 27.Bi Y, Huang J, He Y, Zhu GH, Su Y, He BC, Luo J, Wang Y, Kang Q, Luo Q, et al. Wnt antagonist SFRP3 inhibits the differentiation of mouse hepatic progenitor cells. J Cell Biochem. 2009;108:295–303. doi: 10.1002/jcb.22254. [DOI] [PubMed] [Google Scholar]
- 28.Huang J, Bi Y, Zhu GH, He Y, Su Y, He BC, Wang Y, Kang Q, Chen L, Zuo GW, et al. Retinoic acid signalling induces the differentiation of mouse fetal liver-derived hepatic progenitor cells. Liver Int. 2009;29:1569–1581. doi: 10.1111/j.1478-3231.2009.02111.x. [DOI] [PubMed] [Google Scholar]
- 29.Wang X, Cui J, Zhang BQ, Zhang H, Bi Y, Kang Q, Wang N, Bie P, Yang Z, Wang H, et al. Decellularized liver scaffolds effectively support the proliferation and differentiation of mouse fetal hepatic progenitors. J Biomed Mater Res A. 2014;102:1017–1025. doi: 10.1002/jbm.a.34764. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Fan J, Wei Q, Liao J, Zou Y, Song D, Xiong D, Ma C, Hu X, Qu X, Chen L, et al. Noncanonical Wnt signaling plays an important role in modulating canonical Wnt-regulated stemness, proliferation and terminal differentiation of hepatic progenitors. Oncotarget. 2017;8:27105–27119. doi: 10.18632/oncotarget.15637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Wu N, Zhang H, Deng F, Li R, Zhang W, Chen X, Wen S, Wang N, Zhang J, Yin L, et al. Overexpression of Ad5 precursor terminal protein accelerates recombinant adenovirus packaging and amplification in HEK-293 packaging cells. Gene Ther. 2014;21:629–637. doi: 10.1038/gt.2014.40. [DOI] [PubMed] [Google Scholar]
- 32.National Research Council(US) Committee for the Update of the Guide for the Care and Use of Laboratory Animals Guide for the Care and Use of Laboratory Animals. National Academies Press; (US), Washington, DC: 2011. pp. 963–965. [Google Scholar]
- 33.Cabral F, Miller CM, Kudrna KM, Hass BE, Daubendiek JG, Kellar BM, Harris EN. Purification of hepatocytes and sinusoidal endothelial cells from mouse liver perfusion. J Vis Exp. Feb 12, 2018. Epub ahead of print. [DOI] [PMC free article] [PubMed]
- 34.Liu J, Huang X, Werner M, Broering R, Yang D, Lu M. Advanced method for isolation of mouse hepatocytes, liver sinusoidal endothelial cells, and kupffer cells. Methods Mol Biol. 2017;1540:249–258. doi: 10.1007/978-1-4939-6700-1_21. [DOI] [PubMed] [Google Scholar]
- 35.Choi WM, Eun HS, Lee YS, Kim SJ, Kim MH, Lee JH, Shim YR, Kim HH, Kim YE, Yi HS, Jeong WI. Experimental applications of in situ liver perfusion machinery for the study of liver disease. Mol Cells. 2019;42:45–55. doi: 10.14348/molcells.2018.0330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Zelepukin IV, Yaremenko AV, Petersen EV, Deyev SM, Cherkasov VR, Nikitin PI, Nikitin MP. Magnetometry based method for investigation of nanoparticle clearance from circulation in a liver perfusion model. Nanotechnology. 2019;30:105101. doi: 10.1088/1361-6528/aafa3a. [DOI] [PubMed] [Google Scholar]
- 37.Mederacke I, Dapito DH, Affo S, Uchinami H, Schwabe RF. High-yield and high-purity isolation of hepatic stellate cells from normal and fibrotic mouse livers. Nat Protoc. 2015;102:305–315. doi: 10.1038/nprot.2015.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.He TC, Zhou S, da Costa LT, Yu J, Kinzler KW, Vogelstein B. A simplified system for generating recombinant adenoviruses. Proc Natl Acad Sci USA. 1998;955:2509–2514. doi: 10.1073/pnas.95.5.2509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Luo J, Deng ZL, Luo X, Tang N, Song WX, Chen J, Sharff KA, Luu HH, Haydon RC, Kinzler KW, et al. A protocol for rapid generation of recombinant adenoviruses using the AdEasy system. Nat Protoc. 2007;2:1236–1247. doi: 10.1038/nprot.2007.135. [DOI] [PubMed] [Google Scholar]
- 40.Lee CS, Bishop ES, Zhang R, Yu X, Farina EM, Yan S, Zhao C, Zheng Z, Shu Y, Wu X, et al. Adenovirus-mediated gene delivery: Potential applications for gene and cell-based therapies in the new era of personalized medicine. Genes Dis. 2017;4:43–63. doi: 10.1016/j.gendis.2017.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Cheng H, Jiang W, Phillips FM, Haydon RC, Peng Y, Zhou L, Luu HH, An N, Breyer B, Vanichakarn P, et al. Osteogenic activity of the fourteen types of human bone morphogenetic proteins (BMPs) J Bone Joint Surg Am. 2003;85:1544–1552. doi: 10.2106/00004623-200308000-00017. [DOI] [PubMed] [Google Scholar]
- 42.Kang Q, Song WX, Luo Q, Tang N, Luo J, Luo X, Chen J, Bi Y, He BC, Park JK, et al. A comprehensive analysis of the dual roles of BMPs in regulating adipogenic and osteogenic differentiation of mesenchymal progenitor cells. Stem Cells Dev. 2009;18:545–559. doi: 10.1089/scd.2008.0130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kang Q, Sun MH, Cheng H, Peng Y, Montag AG, Deyrup AT, Jiang W, Luu HH, Luo J, Szatkowski JP, et al. Characterization of the distinct orthotopic bone-forming activity of 14 BMPs using recombinant adenovirus-mediated gene delivery. Gene Ther. 2004;11:1312–1320. doi: 10.1038/sj.gt.3302298. [DOI] [PubMed] [Google Scholar]
- 44.Li R, Zhang W, Cui J, Shui W, Yin L, Wang Y, Zhang H, Wang N, Wu N, Nan G, et al. Targeting BMP9-promoted human osteosarcoma growth by inactivation of notch signaling. Curr Cancer Drug Targets. 2014;14:274–285. doi: 10.2174/1568009614666140305105805. [DOI] [PubMed] [Google Scholar]
- 45.Li R, Yan Z, Ye J, Huang H, Wang Z, Wei Q, Wang J, Zhao L, Lu S, Wang X, et al. The prodomain-containing BMP9 produced from a stable line effectively regulates the differentiation of mesenchymal stem cells. Int J Med Sci. 2016;13:8–18. doi: 10.7150/ijms.13333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Zhao C, Wu N, Deng F, Zhang H, Wang N, Zhang W, Chen X, Wen S, Zhang J, Yin L, et al. Adenovirus-mediated gene transfer in mesenchymal stem cells can be significantly enhanced by the cationic polymer polybrene. PLoS One. 2014;9:e92908. doi: 10.1371/journal.pone.0092908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Kong Y, Zhang H, Chen X, Zhang W, Zhao C, Wang N, Wu N, He Y, Nan G, Zhang H, et al. Destabilization of heterologous proteins mediated by the GSK3beta phosphorylation domain of the β-catenin protein. Cell Physiol Biochem. 2013;32:1187–1199. doi: 10.1159/000354518. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Zhao C, Zeng Z, Qazvini NT, Xu X, Zhang R, Yan S, Shu Y, Zhu Y, Duan C, Bishop E, et al. Thermoresponsive citrate-based graphene oxide scaffold enhances bone regeneration from BMP9-stimulated adipose-derived mesenchymal stem cells. ACS Biomater Sci Eng. 2018;4:2943–2955. doi: 10.1021/acsbiomaterials.8b00179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Gao Y, Huang E, Zhang H, Wang J, Wu N, Chen X, Wang N, Wen S, Nan G, Deng F, et al. Crosstalk between Wnt/beta-catenin and estrogen receptor signaling synergistically promotes osteogenic differentiation of mesenchymal progenitor cells. PLoS One. 2013;8:e82436. doi: 10.1371/journal.pone.0082436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Yan Z, Yin L, Wang Z, Ye J, Zhang Z, Li R, Denduluri SK, Wang J, Wei Q, Zhao L, et al. A novel organ culture model of mouse intervertebral disc tissues. Cells Tissues Organs. 2016;201:38–50. doi: 10.1159/000439268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Liao J, Wei Q, Zou Y, Fan J, Song D, Cui J, Zhang W, Zhu Y, Ma C, Hu X, et al. Notch signaling augments BMP9-induced bone formation by promoting the osteogenesis-angiogenesis coupling process in mesenchymal stem cells (MSCs) Cell Physiol Biochem. 2017;41:1905–1923. doi: 10.1159/000471945. [DOI] [PubMed] [Google Scholar]
- 52.Cui J, Zhang W, Huang E, Wang J, Liao J, Li R, Yu X, Zhao C, Zeng Z, Shu Y, et al. BMP9-induced osteoblastic differentiation requires functional Notch signaling in mesenchymal stem cells. Lab Invest. 2019;99:58–71. doi: 10.1038/s41374-018-0087-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Yu X, Xia Y, Zeng L, Zhang X, Chen L, Yan S, Zhang R, Zhao C, Zeng Z, Shu Y, et al. A blockade of PI3Kgamma signaling effectively mitigates angiotensin II-induced renal injury and fibrosis in a mouse model. Sci Rep. 2018;8:10988. doi: 10.1038/s41598-018-29417-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Zhang Q, Wang J, Deng F, Yan Z, Xia Y, Wang Z, Ye J, Deng Y, Zhang Z, Qiao M, et al. TqPCR: A touchdown qPCR assay with significantly improved detection sensitivity and amplification efficiency of SYBR Green qPCR. PLoS One. 2016;10:e0132666. doi: 10.1371/journal.pone.0132666. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 2001;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
- 56.Yu X, Liu F, Zeng L, He F, Zhang R, Yan S, Zeng Z, Shu Y, Zhao C, Wu X, et al. Niclosamide exhibits potent anticancer activity and synergizes with sorafenib in human renal cell cancer cells. Cell Physiol Biochem. 2018;47:957–971. doi: 10.1159/000490140. [DOI] [PubMed] [Google Scholar]
- 57.Shu Y, Yang C, Ji X, Zhang L, Bi Y, Yang K, Gong M, Liu X, Guo Q, Su Y, et al. Reversibly immortalized human umbilical cord-derived mesenchymal stem cells (UC-MSCs) are responsive to BMP9-induced osteogenic and adipogenic differentiation. J Cell Biochem. 2018;119:8872–8886. doi: 10.1002/jcb.27140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Wang N, Zhang W, Cui J, Zhang H, Chen X, Li R, Wu N, Chen X, Wen S, Zhang J, et al. The piggyBac transposon-mediated expression of SV40 T antigen efficiently immortalizes mouse embryonic fibroblasts (MEFs) PLoS One. 2014;9:e97316. doi: 10.1371/journal.pone.0097316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Liao Z, Nan G, Yan Z, Zeng L, Deng Y, Ye J, Zhang Z, Qiao M, Li R, Denduluri S, et al. The anthelmintic drug niclosamide inhibits the proliferative activity of human osteosarcoma cells by targeting multiple signal pathways. Curr Cancer Drug Targets. 2015;15:726–738. doi: 10.2174/1568009615666150629132157. [DOI] [PubMed] [Google Scholar]
- 60.Desmettre T, Devoisselle JM, Soulie-Begu S, Mordon S. Fluorescence properties and metabolic features of indocyanine green (ICG) J Fr Ophtalmol. 1999;22:1003–1016. In French. [PubMed] [Google Scholar]
- 61.Bi Y, He Y, Huang JY, Xu L, Tang N, He TC, Feng T. Induced maturation of hepatic progenitor cells in vitro. Braz J Med Biol Res. 2013;46:559–566. doi: 10.1590/1414-431X20132455. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Kim DS, Ryu JW, Son MY, Oh JH, Chung KS, Lee S, Lee JJ, Ahn JH, Min JS, Ahn J, et al. A liver-specific gene expression panel predicts the differentiation status of in vitro hepatocyte models. Hepatology. 2017;66:1662–1674. doi: 10.1002/hep.29324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Nikoozad Z, Ghorbanian MT, Rezaei A. Comparison of the liver function and hepatic specific genes expression in cultured mesenchymal stem cells and hepatocytes. Iran J Basic Med Sci. 2014;17:27–33. [PMC free article] [PubMed] [Google Scholar]
- 64.Luu HH, Song WX, Luo X, Manning D, Luo J, Deng ZL, Sharff KA, Montag AG, Haydon RC, He TC. Distinct roles of bone morphogenetic proteins in osteogenic differentiation of mesenchymal stem cells. J Orthop Res. 2007;25:665–677. doi: 10.1002/jor.20359. [DOI] [PubMed] [Google Scholar]
- 65.Lamplot JD, Qin J, Nan G, Wang J, Liu X, Yin L, Tomal J, Li R, Shui W, Zhang H, et al. BMP9 signaling in stem cell differentiation and osteogenesis. Am J Stem Cells. 2013;2:1–21. [PMC free article] [PubMed] [Google Scholar]
- 66.Luther G, Wagner ER, Zhu G, Kang Q, Luo Q, Lamplot J, Bi Y, Luo X, Luo J, Teven C, et al. BMP-9 induced osteogenic differentiation of mesenchymal stem cells: Molecular mechanism and therapeutic potential. Curr Gene Ther. 2011;11:229–240. doi: 10.2174/156652311795684777. [DOI] [PubMed] [Google Scholar]
- 67.Wagner ER, Luther G, Zhu G, Luo Q, Shi Q, Kim SH, Gao JL, Huang E, Gao Y, Yang K, et al. Defective osteogenic differentiation in the development of osteosarcoma. Sarcoma. 2011;2011:325238. doi: 10.1155/2011/325238. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Wang RN, Green J, Wang Z, Deng Y, Qiao M, Peabody M, Zhang Q, Ye J, Yan Z, Denduluri S, et al. Bone Morphogenetic Protein (BMP) signaling in development and human diseases. Genes Dis. 2014;1:87–105. doi: 10.1016/j.gendis.2014.07.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Zhou L, An N, Jiang W, Haydon R, Cheng H, Zhou Q, Breyer B, Feng T, He TC. Fluorescence-based functional assay for Wnt/beta-catenin signaling activity. Biotechniques. 2002;33:1126–1128. 1130–1132. doi: 10.2144/02335dd07. passim. [DOI] [PubMed] [Google Scholar]
- 70.Luo Q, Kang Q, Si W, Jiang W, Park JK, Peng Y, Li X, Luu HH, Luo J, Montag AG, et al. Connective tissue growth factor (CTGF) is regulated by Wnt and bone morphogenetic proteins signaling in osteoblast differentiation of mesenchymal stem cells. J Biol Chem. 2004;279:55958–55968. doi: 10.1074/jbc.M407810200. [DOI] [PubMed] [Google Scholar]
- 71.Peng Y, Kang Q, Cheng H, Li X, Sun MH, Jiang W, Luu HH, Park JY, Haydon RC, He TC. Transcriptional characterization of bone morphogenetic proteins (BMPs)-mediated osteogenic signaling. J Cell Biochem. 2003;90:1149–1165. doi: 10.1002/jcb.10744. [DOI] [PubMed] [Google Scholar]
- 72.Peng Y, Kang Q, Luo Q, Jiang W, Si W, Liu BA, Luu HH, Park JK, Li X, Luo J, et al. Inhibitor of DNA binding/differentiation helix-loop-helix proteins mediate bone morphogenetic protein-induced osteoblast differentiation of mesenchymal stem cells. J Biol Chem. 2004;279:32941–32949. doi: 10.1074/jbc.M403344200. [DOI] [PubMed] [Google Scholar]
- 73.Si W, Kang Q, Luu HH, Park JK, Luo Q, Song WX, Jiang W, Luo X, Li X, Yin H, et al. CCN1/Cyr61 is regulated by the canonical Wnt signal and plays an important role in Wnt3A-induced osteoblast differentiation of mesenchymal stem cells. Mol Cell Biol. 2006;26:2955–2964. doi: 10.1128/MCB.26.8.2955-2964.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Ramappa V, Aithal GP. Hepatotoxicity related to anti-tuberculosis drugs: Mechanisms and management. J Clin Exp Hepatol. 2013;3:37–49. doi: 10.1016/j.jceh.2012.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Njoku DB. Drug-induced hepatotoxicity: Metabolic, genetic and immunological basis. Int J Mol Sci. 2014;15:6990–7003. doi: 10.3390/ijms15046990. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Perwitasari DA, Atthobari J, Wilffert B. Pharmacogenetics of isoniazid-induced hepatotoxicity. Drug Metab Rev. 2015;47:222–228. doi: 10.3109/03602532.2014.984070. [DOI] [PubMed] [Google Scholar]
- 77.Bale SS, Golberg I, Jindal R, McCarty WJ, Luitje M, Hegde M, Bhushan A, Usta OB, Yarmush ML. Long-term coculture strategies for primary hepatocytes and liver sinusoidal endothelial cells. Tissue Eng Part C Methods. 2015;21:413–422. doi: 10.1089/ten.tec.2014.0152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Hughes DJ, Kostrzewski T, Sceats EL. Opportunities and challenges in the wider adoption of liver and interconnected microphysiological systems. Exp Biol Med (Maywood) 2017;242:1593–1604. doi: 10.1177/1535370217708976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Kegel V, Deharde D, Pfeiffer E, Zeilinger K, Seehofer D, Damm G. Protocol for isolation of primary human hepatocytes and corresponding major populations of non-parenchymal liver cells. J Vis Exp. 2016. p. e53069. [DOI] [PMC free article] [PubMed]
- 80.Riccalton-Banks L, Liew C, Bhandari R, Fry J, Shakesheff K. Long-term culture of functional liver tissue: Three-dimensional coculture of primary hepatocytes and stellate cells. Tissue Eng. 2003;9:401–410. doi: 10.1089/107632703322066589. [DOI] [PubMed] [Google Scholar]
- 81.Rebelo SP, Costa R, Silva MM, Marcelino P, Brito C, Alves PM. Three-dimensional co-culture of human hepatocytes and mesenchymal stem cells: Improved functionality in long-term bioreactor cultures. J Tissue Eng Regen Med. 2017;11:2034–2045. doi: 10.1002/term.2099. [DOI] [PubMed] [Google Scholar]
- 82.Chen L, Jiang W, Huang J, He BC, Zuo GW, Zhang W, Luo Q, Shi Q, Zhang BQ, Wagner ER, et al. Insulin-like growth factor 2 (IGF-2) potentiates BMP-9-induced osteogenic differentiation and bone formation. J Bone Miner Res. 2010;25:2447–2459. doi: 10.1002/jbmr.133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Huang E, Zhu G, Jiang W, Yang K, Gao Y, Luo Q, Gao JL, Kim SH, Liu X, Li M, et al. Growth hormone synergizes with BMP9 in osteogenic differentiation by activating the JAK/STAT/IGF1 pathway in murine multilineage cells. J Bone Miner Res. 2012;27:1566–1575. doi: 10.1002/jbmr.1622. [DOI] [PubMed] [Google Scholar]
- 84.Khetani SR, Bhatia SN. Microscale culture of human liver cells for drug development. Nat Biotechnol. 2008;26:120–126. doi: 10.1038/nbt1361. [DOI] [PubMed] [Google Scholar]
- 85.Vorrink SU, Zhou Y, Ingelman-Sundberg M, Lauschke VM. Prediction of drug-induced hepatotoxicity using long-term stable primary hepatic 3D spheroid cultures in chemically defined conditions. Toxicol Sci. 2018;163:655–665. doi: 10.1093/toxsci/kfy058. [DOI] [PMC free article] [PubMed] [Google Scholar]
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