1. Introduction
Arsenic contamination is a serious environmental and geochemical issue endangering human health [
1]. Exposure to inorganic arsenic (iAs) compounds causes not only skin lesions, kidney damage, and peripheral nervous system injury but also liver injury, liver fibrosis, cirrhosis, and liver cancer [
2]. The liver is the most important target organ of arsenic metabolism [
3]. Epidemiological studies linked chronic iAs exposure to an increased risk of liver disease, fibrosis, cirrhosis, and liver carcinogenesis [
4,
5,
6]. The mechanisms underlying arsenic-induced liver fibrosis are multifaceted and include oxidative stress, inflammatory response, apoptosis, necrosis, and methylation [
7,
8,
9]. In recent years, studies have demonstrated that autophagy plays a critical role in arsenic-related carcinogenic mechanisms.
Autophagy is essentially a protein degradation system involving the cell’s own lysosomes; it plays a vital role in removing misfolded proteins and damaged organelles to maintain cellular homeostasis [
10,
11]. Significantly, arsenic exposure affects autophagy in a dose-dependent manner. Multiple autophagy-related genes (ATGs) and signaling pathways co-regulate autophagy processes and biological functions [
12]. As of September 2022, a total of 232 autophagy-related genes were obtained from the Human Autophagy Database (HADb), with the key signaling molecules being recombinant human autophagy effector protein (Beclin-1), VMP1, Atg5-Atg12, Atg4, and microtubule-associated protein light chain A/B (LC3), while the phosphatidylinositol 3 kinase/protein serine-threonine kinase (PI3K-Akt) pathways also play a role in autophagy [
13].
Phosphatase and tensin homolog deleted on chromosome 10 (PTEN) is a tumor suppressor gene that exerts vital effects on cell growth, proliferation, migration, signal transmission, invasion, and apoptosis [
14]. Existing studies have also demonstrated that abnormal PTEN expression is associated with non-neoplastic disease [
15]. Activation of pro-fibrotic signaling pathways through PTEN may lead to fibrosis in the liver, lung, and kidney tissues [
16,
17]. Some studies have found that PTEN may be involved in the regulation of fibrosis in various organs through autophagy [
18,
19]. Xun Lai et al. [
17] found that reduced autophagy enhances PTEN expression, while increased autophagy reduces PTEN expression. This suggests that degradation of PTEN by autophagy via the interaction of PTEN-p62 acts as a novel method of tumorigenesis involving highly up-regulated in liver cancer (HULC) [
20]. Qing Yin et al. [
21] in diabetic nephropathy found that miR-155-5p promoted autophagy and attenuated interstitial fibrosis by targeting PTEN. In addition, PTEN is involved in the regulation of multiple pathways. For example, PTEN negatively regulates phosphatidylinositol 3-kinase (PI3K) involved in the regulation of the PI3K-Akt-mTOR pathway [
22]. Hairy and enhancer of split 1(Hes1) can affect the transcription level of PTEN mRNA and downregulate the expression of PTEN protein, thereby affecting the Notch1-HES1-PTEN pathway [
23]. However, the exact mechanism underlying the interaction of PTEN, autophagy, and arsenic-induced liver fibrosis is not fully understood.
This study assessed mouse response to iAs3+, with histological changes suggesting liver fibrosis and changes in liver protein expression. The results were confirmed in vitro, with human hepatic stellate cell (HSC) responses to different iAs3+ doses to characterize the full range of chronic arsenic exposure levels. Then, we investigated overexpression of PTEN during iAs3+-induced fibrosis and explored the effect of the NOTCH1/HES1/PTEN signaling pathway on autophagy. Our data could be used to explore changes in autophagy-related proteins during iAs-induced fibrosis in human HSCs. These results could lay a foundation and provide new insights for further liver fibrosis investigations. These results could be important in areas where arsenic exposure through drinking water and food is significant.
2. Materials and Methods
2.1. Animals and Treatments
Twenty-four healthy sterile C57BL/6 male mice (weighing 20–22 g) were purchased from the Animal Experiment Center of Xinjiang Medical University (Xinjiang, China) and maintained on 24 h adaptive feeding for 1 week at a temperature of 25 ± 2 °C and a relative humidity of 45 ± 5%. The mice were divided into four groups of six each using a random-number table. The LD50 of sodium arsenite (iAs
3+, analytical grade, No. 3 Chemical Reagent Factory, Beijing, China) in the mice was 16.2 mg/kg, as determined by the Horn method [
24] in a preliminary experiment. In brief, the Horn method involves a preliminary test and a formal test. The preliminary test determined the exposure dose of the test substance according to the relevant toxicological data of the similar structural chemical substances. The formal test dose series was then determined according to the results of the preliminary test. The animals were randomly divided into 4 groups, with 4 animals in each group. The sodium arsenite was diluted with distilled water in different doses, and administered orally at 0.01 mL/g. After exposure, the animals were closely observed and recorded in detail with regard to abnormal behavior, the number of animals that died, and the time of death. The observation period of all infected animals was 14 days. We administered 1/15 of the LD50 as a dose in the high-dose group, and the differences among the dose groups were twofold: high-dose iAs
3+ group (H), NaAsO
2 1.08 mg/kg; low-dose iAs
3+ group (L), NaAsO
2 0.54 mg/kg; the animals in the normal control group I drank deionized water solution for 24 weeks. During the exposure period, the water was freshly prepared and recorded daily, and the animals were weighed three times a week. We weighed the sodium arsenite powder and diluted it into a liquid with deionized water. To prevent oxidation of the sodium arsenite, we fed the water to the mice immediately after preparation. The mice were fed the water only once a day to reduce the exposure of the water to air. The mice were fed in groups for 4, 8, 16, and 24 weeks before they were killed. All animal experiments were granted ethics committee approval and were conducted in accordance with the regulations of the Ethics Committee of Xinjiang Medical College and the Guidelines for the Care and Use of Laboratory Animals of the Chinese National Institute of Health (Ethical approval number: IACUC-20210309-08).
2.2. Masson Staining for Detecting Liver Fibrosis
Fresh liver tissues isolated from C57BL/6 mice were fixed in 10% formalin (Beijing Solaibao Technology Co., Beijing, China), dehydrated, embedded in paraffin (Leica, Wetzlar, Germany), and sliced. Then, liver sections (4–5 μm) were dewaxed and rehydrated, and according to the standard procedure of the Masson staining kit (Solarbio, Beijing, China), tissue staining was performed. After being sealed with gum, the sections were observed and photographed using an optical microscope.
2.3. Cell Culture
LX-2 cells (Punosai Life Technology Co., Wuhan, China) were cultured at 37 °C in an atmosphere containing 5% CO
2 and 95% air at 100% humidity in Dulbecco’s modified eagle medium (DMEM) (American Hyclone Co., Logan City, UT, USA) plus 10% heat-inactivated fetal bovine serum (FBS) (American Hyclone Co., Logan City, UT, USA), 100 mg mL
−1 penicillin, and 100 mg mL
−1 streptomycin. When cells reached 80–90% confluence, they were trypsinized in 0.25% trypsin and placed in 6-well plates for iAs trioxide exposure. The concentration of iAs trioxide exposure for the cell groups is shown in
Table 1.
2.4. Transmission Electronic Microscopy
LX-2 cells were fixed with 4% glutaraldehyde and 1% osmium tetroxide, rinsed in 100 mM sodium phosphate buffer, dehydrated in ethanol, and embedded in EPON. Ultrathin sections of LX-2 cell were collected on formvar-coated grids and stained with 10% uranyl acetate and 1% lead citrate; then, the ultrastructure of autophagosomes was examined using a JEM100CXII transmission electronic microscope (TEM) (Hitachi, Tokyo, Japan) operated at 80 kV.
2.5. Cell Transfection
The LX-2 cells were transfected with a PTEN overexpression plasmid and control vector plasmid (Jikai Gene Biology Co., Shanghai, China). LX-2 cells (Punosai Life Technology Co., Wuhan, China) were cultured at 37 °C in 5% CO2 and 95% air at 100% humidity in DMEM plus 10% heat-inactivated FBS, 100 mg mL−1 penicillin, and 100 mg mL−1 streptomycin. The medium was changed once every 2 days. Transfection was carried out using a six-well plate until the growth of the cells reached 70–80%. A volume of 500 μL of DMEM culture medium without antibiotics and serum was transferred into a 1.5-mL sterile centrifuge tube. Then, we added 5 μg plasmid DNA and 8 μL polyethylenimine (PEI), followed by mixing and shaking. Further, the mixture was left to stand for 10 min at room temperature, followed by the addition of 1.5 mL of DMEM medium without antibody and serum to the well plate. When the reaction time was completed, the transfection reagent and a DNA mixture were added to the whole well in a uniform drop at 500 uL per well and were then gently mixed. To achieve the highest transfection efficiency, cells had to be replaced with fresh complete culture medium after 4–6 h of post-transfection incubation.
2.6. Quantitative Real-Time PCR (qRT-PCR Analysis)
Total RNA was isolated from LX-2 cells and liver tissues using the RNAiso kit (TianGen, China) following the manufacturer’s instructions. Total RNA was reverse-transcribed to cDNA using the Primer Script™ RT Master Mix kit (Takara, Japan). Then, qRT-PCR was performed using the SYBR
® Premix Ex Taq™II (2×) mix (Takara, Japan) using a CFX 96-type RT fluorescence quantitative PCR instrument (Bio-Rad, Hercules, CA, USA). GAPDH was used as a reference gene. Cycle thresholds were determined for each sample and each gene amplification. Based on the 2
−ΔΔCt method, relative target gene expression was calculated. Primer sequences for the mouse and cell-based experiments are shown in
Table 2. The PCR procedure was an initial 30 s hold at 95 °C, then 40 repeated cycles of step 1 at 95 °C for 5 s, step 2 at 60 °C for 20 s, and step 3, melting (65–95 °C depending on the primer melting temperature) at 2.2 °C/s.
2.7. Western Blot
Total protein was extracted from cells and liver tissues using ice-cold RIPA lysis buffer (plus phenylmethylsulfonyl fluoride). Next, the total protein concentrations were determined by a bicinchoninic acid assay (BCA) protein quantification kit (Thermo Scientific, Waltham, MA, USA). Protein samples (30 μg) were separated using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) with electrophoresis solution (Solarbio Co., Beijing, China). The proteins were further transferred to 0.22-μm polyvinylidene fluoride membranes (Sangon Biotech, Shanghai, China) with electrotransfer solution (Solarbio Co., Beijing, China). After blocking in 5% skimmed milk for 1 h at 37 °C, the blots were incubated overnight at 4 °C with the following primary antibodies: LC3 (1:1000) (Proteintech, Rosemont, IL, USA, 14600-1-AP), Beclin-1 (dilution 1:2000) (Bioss, Woburn, MA, USA, bs-1353R), α-smooth muscle actin (α-SMA) (1:1000) (Abcam Co., Cambridge, UK), Collagen I (1:1000) (Abcam Co., UK, ab124964), HES1 (1:1000) (Abcam Co, UK), PTEN (1:1000) (CST, 11988S), NOTCH1 (1:500) (Abcam Co., UK, ab52627), GAPDH (1:10,000) (Abcam Co., UK), and β-actin (1:10,000) (Abcam Co., UK). The blots were rinsed three times with Tween (Sangon Biotech) plus PBS and incubated with horseradish peroxidase (HRP)-conjugated secondary antibodies (Sangon Biotech) (1:8000) for 1h. Immunoreactivity was visualized using an alkaline phosphatase color development kit (Sangon Biotech). Image analysis software ImageJ v1.51 (National Institutes of Health, Bethesda, MD, USA) was employed to calculate relative protein expression.
2.8. Statistical Analysis
SPSS 25.0 software (IBM Corp., Armonk, NY, USA) was utilized for statistical analysis. The quantitative data that were normally distributed were expressed as mean ± standard deviation (x ± s). One-way ANOVA was applied for comparison between groups, and LSD was used for further pairwise comparisons. The median and interquartile spacing [M (QR)] were implemented to describe the non-normal distribution, and the Kruskal–Wallis H test was used for comparison between groups.
4. Discussion
This study aimed to explore the effects of PTEN with NaAsO2 on liver fibrosis and autophagy. We preliminarily found that the abnormal expression of PTEN was correlated with autophagy in the process of liver fibrosis induced by sodium arsenite in mice. The overexpression of PTEN reduced the occurrence of autophagy and slowed down the liver fibrosis caused by sodium arsenite. NOTCH1/HES1/PTEN might be involved in the regulation and affect the occurrence of autophagy and fibrosis. This study, therefore, identified new targets for clinical prevention of arsenic poisoning and alleviation of side effects of arsenic in combination therapy of tumor chemotherapy.
In this study, we established an arsenic poisoning model in mice. Initially, the mice were divided into four groups: normal, low-dose group, medium-dose group, and high-dose group. However, since there was no significant difference in the low-dose group, it was removed from the experiment, resulting in three groups. To ensure accuracy, we consulted relevant literature and sought guidance from the experimental instructor in the animal housing room. Considering that liver fibrosis is a chronic change rather than acute death in a short period of time, the setting of IC50 is deemed unnecessary. The assessment of fibrosis changes primarily relies on pathological results. HE and Masson staining indicated liver fibrosis in the models. In both of them, arsenic exposure led to significant liver fibrosis, with an upregulated expression of collagen I and α-SMA. Epidemiological investigations reveal links between arsenicosis and various malignant tumors, such as lung cancer, skin cancer, liver cancer, gallbladder and gastrointestinal tumors, and lymphoma [
25,
26,
27]. Liver inflammation due to inorganic arsenic can result in liver fibrosis, leading to cirrhosis and carcinogenesis [
28]. HSCs are the key effector cells mediating the occurrence and development of liver fibrosis. HSC activation is mainly characterized by fibroblast proliferation, excessive collagen synthesis, extracellular matrix deposition (including Collagen I and Collagen III), and overexpression of α-SMA [
29].
In our study, we also observed autophagosomes in the fibrosis model by TEM and found that with increased infection time and dose, the interstitial space of the mouse hepatocytes widened significantly, and the number of lipid droplets and autophagic vesicles with double-layered membranes were increased. Based on our data, in both animal and cellular experiments, both at the genetic level and at the translational level, it was shown that LC3 and Beclin1 positively correlated with autophagic activity with increasing dose and duration of sodium iAs
3+ exposure. In recent years, autophagy has been associated with key roles in several human diseases. Autophagy maintains cellular homeostasis by regulating various physiological processes, including cytokine formation, pathogen clearance, antigen presentation, inflammatory responses, and innate and adaptive immune responses [
30]. Autophagy activity and biological functions are regulated by several ATGs and associated proteins, including LC3, SQSTM-1/P62, Beclin-1, ATG4, ATG5, and ATG8. LC3 is involved in the formation of autophagosomes and dissociates from lysosomal structures to digest damaged materials. Beclin1 is a key regulator of autophagy and an inactive or dysfunctional Beclin1 leads to a suppressed autophagic process [
31].
Our preliminary experiments revealed a dose-dependent relationship between the increase in arsenic concentration and the change in fibrosis observed in LX-2 cells, the most noticeable difference was observed between the high-dose group and the control group. Hence, we opted for plasmid transfection in the high-dose group. In this study, after the PTEN overexpression plasmid was transferred into human HSCs, the level of liver fibrosis and autophagy was downregulated. As an important regulator of liver fibrosis, PTEN participates extensively in the process of liver fibrosis by regulating the activities of hepatocytes, hepatic stellate cells, and macrophages. Low expression or loss of PTEN was previously observed in the fibrotic liver tissues of rats treated with activated hematopoietic stem cells and CCl4 [
32]. Targeting PTEN alleviated liver fibrosis, while saponin A promoted the expression of PTEN by binding with DNMT1, thereby reducing liver fibrosis [
33]. Bueno et al. [
34] also found that after knocking out the PTEN gene in alveolar epithelial cells, the degree of pulmonary fibrosis was aggravated. Additionally, PTEN is associated with autophagy. Research indicates that SLC9A3R1 increases the expression of PTEN via interaction with PTEN, and PTEN increases autophagy, whereas the loss of PTEN results in the inhibition of autophagy [
35]. In addition, inhibition of autophagy increases PTEN, whereas induction of autophagy decreases PTEN [
36]. Therefore, the results of our study are consistent with these studies. This suggests that the PTEN gene may be an important target to alleviate the progression of fibrosis, and interfering with the expression of PTEN might help reduce fibrosis. However, the main difference from these earlier studies is that we found that when PTEN overexpression enhanced the occurrence of autophagy, the increased level of autophagy further contributed to the remission of fibrotic lesions. Therefore, overexpression of PTEN can inhibit autophagy during autophagosome formation and maturation, but autophagy does not inhibit the response to ATG binding. This dual role of PTEN in enhancing the degree of autophagy and alleviating liver fibrosis deserves more scientific attention.
We also found that Notch1/HES1 may be involved in sodium arsenite exposure-induced liver fibrosis and autophagy, and PTEN can regulate Notch1/HES1 to affect autophagy and fibrosis. Liu et al. [
37] found that Notch1 regulated the expression of PTEN, inhibited autophagy through interaction with Hes1, and aggravated renal tubulointerstitial fibrosis in diabetic nephropathy. Our data showed that compared with the high-dose iAs
3+ + blank plasmid group, the protein expression levels of Notch1 and HES1 in the PTEN overexpression group were significantly down-regulated. In addition, we used Illumina Human Methylation 850K genome-wide methylation microarray for detection of fibrosis in the stained hepatic stellate cells, in which we utilized high concentrations of sodium arsenite, as well as in the autophagy model group. Using these analyses, we aim to detect differentially methylated genes at the epigenetic level and further investigate the mechanism of PTEN involvement in the regulation of arsenic-induced liver fibrosis and autophagy.