Acta Biochimica Polonica, Vol. 65, No 3/2018, 443–447, https://doi.org/10.18388/abp.2018_2557
Regular paper
Influence of oleic acid in different solvent media on BRL 3A cell growth and viability
College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
Oleic acid (OA) is widely used in pathology studies of hepatocellular lipid deposition. Identifying the effects of different solvents on OA-induced liver lipid deposition would be beneficial for studies on hepatocytes. We treated BRL 3A cells with OA dissolved in different solvents. After 12 h incubation, cell viability was assessed using MTT assays. Reactive oxygen species (ROS), triglyceride (TG) and total cholesterol (TC) counts, and the expression level of glucose regulated protein (GRP78), sterol regulatory element binding protein (SREBP-1C) and fatty acid synthase (FAS) were analyzed. Water, PBS and DMSO were disadvantageous to the dissolution of OA and did not cause an OA-induced response in hepatocytes. In the alcohol+OA-treated cells, the severe ER stress, oxidative stress and cellular fat deposition were significantly increased. BSA promoted cell growth and the cells treated with 1.2% BSA+OA showed a lower grade TG and endoplasmic reticulum stress compared with KOH+OA and alcohol+OA treatments. KOH had no significant influence on BRL 3A cells viability. When treated with OA dissolved in KOH, BRL 3A cells showed a typical hepatocyte damage. KOH was considered the suitable choice for an OA solvent for BRL 3A cells in hepatic lipidosis research.
Key words: oleic acid; non-alcoholic fatty liver disease; liver lipid deposition
Received: 23 January, 2018; revised: 13 June, 2018; accepted:
19 June, 2018; available on-line: 15 September, 2018
*e-mail: xuchuang7175@163.com
Abbreviations: BSA, bovine serum albumin; DMSO, dimethyl sulfoxide; FAS, fatty acid synthase; GRP78, glucose regulated protein 78; H2O, distilled water; KOH, potassium hydroxide; OA, oleic acid; PBS, phosphate-buffered saline; ROS, reactive oxygen species; SREBP-1C, sterol regulatory element binding protein 1c; TC, total cholestero; TG, triglyceride
INTRODUCTION
Non-alcoholic fatty liver disease (NAFLD) is one of the types of fatty liver which occurs when fat is deposited in the liver due to the causes other than excessive alcohol use. In most of the cases of NAFLD a metabolic syndrome is also present (Xu et al., 2016a). A high-fat diet is the major pathogenesis factor as the most dietary fat sources contain abundant free fatty acids (FFAs). Liver and adipose tissue are the major organs of lipid metabolism and take part in modulating lipid oxidative capacity and energy demands (Xu et al., 2015). A surplus of FFAs in non-adipose cells, especially hepatocytes, may activate deleterious pathways leading to a cell dysfunction (Xu et al., 2016b). Furthermore, high levels of FFAs could contribute to mitochondrial dysfunction on the level of production of reactive oxygen species and activation of endoplasmic reticulum stress-associated mechanisms (Perla et al., 2017). Oleic acid (OA) is a unique unsaturated fatty acid which plays a key role in cellular activity, metabolism, and nuclear events (Imai et al., 2003). It is synthesized de novo from palmitic acid or dietary palmitic acid by palmitoyl-CoA elongation, or from stearic acid by stearoyl-CoA desaturation (Cinti et al., 1992). OA is widely used in pathological studies of hepatic lipidosis. In in vitro studies, the various solvents for dissolving OA are used (Cairns et al., 2017, Li et al., 2015, Weng et al., 2017), but the effect of these solvents on hepatocytes are unclear, thus, identifying the effects of OA in different solvents on hepatocytes would be beneficial. In this study, OA was dissolved in distilled water (H2O), potassium hydroxide (KOH), alcohol, phosphate-buffered saline (PBS), bovine serum albumin (BSA), and dimethyl sulfoxide (DMSO) to evaluate the effect of different solvents on OA-induced hepatic lipidosis, viability, oxidative stress and endoplasmic reticulum stress.
MATERIALS AND METHODS
Cell cultures and treatment. The BRL3A rat liver cell line was purchased from Stem Cell Bank, Chinese Academy of Sciences (Shanghai, China) and cultured in DMEM (GIBCO, Life Technologies, USA) containing 10% FBS (GIBCO, Life Technologies) with 1% Penicillin-Streptomycin Solution (Solarbio Life Sciences, Beijing, China) in a humidified incubator at 37ºC with 5% CO2. Stock solutions of 158.5 µl OA were prepared in 10 ml of 0.1 mM KOH (Liu et al., 2014, Wang et al., 2015), 0.1 mM PBS, alcohol (absolute ethyl ethanol; Lagrutta et al., 2017, Chen et al., 2014, Liao et al., 2014), BSA (0.4%, 0.8%, 1.2%) (Moravcova et al., 2015, Seo et al., 2014) and DMSO (0.1%, 0.4%, 0.8%) (Rogue et al., 2014, Zhang et al., 2004), respectively, and diluted in DMEM culture medium to a final concentration of OA at 1.2 mM. About 5×104 BRL 3A cells per well were seeded on the six-well culture plates and treated with different solvents and OA in different solvents. The cells were harvested after 12 hours.
Assessment of BRL 3A cell viability. BRL 3A cells were seeded in 96-well culture plates at about 3000 cells per well. To determine cell viability, cells were treated for 6, 12, 24 or 48 h. A final concentration of 5 mg/ml methylthiazolyldiphenyl-tetrazolium bromide (MTT) was added for the last 4 h of the incubation time. Then the medium was removed carefully and added to 150 μl DMSO for 0.5 h and which was next used for cell viability analysis using spectrophotometer at 492 nm. Four independent experiments were performed for each group.
TG and TC concentration determination. After the incubation, the cells were lysed by brief sonication in 2% Triton X-100 in an ice bath. The lysates were centrifuged at 10 000×g at 4ºC for 10 min. The supernatants were collected for TG and TC analysis using commercial enzymatic kits (Pulilai Biotechnology, Beijing, China). Four independent experiments were performed for each group.
Measurement of ROS production. After collecting cells according to ROS kit (Applygen, Beijing, China) instructions, cells were treated with 10 µM DCFH-DA in PBS for 40 min at 37ºC and photographed using a fluorescence microscope for ROS analysis.
Lipid synthesis activity and endoplasmic reticulum stress determination. Expression of sterol regulatory element binding protein (SREBP-1C) and fatty acid synthase (FAS) were used for determination of lipid synthesis activity of the cells, and expression of glucose regulated protein (GRP78) was used for endoplasmic reticulum stress determination. Total RNA was extracted using TRIZOL reagent (Invitrogen, USA). RNA was reverse transcribed into cDNA using high-capacity cDNA reverse transcription kits (Invitrogen, Switzerland) according to the manufacturer’s instructions. mRNA levels for GRP78, SREBP-1C and FAS were analyzed using Applied Biosystems 7300 real-time polymerase chain reaction (PCR) system and SYBR Premix Ex TaqI (TaKaRa, Dalian, China). Primers were designed using Primer Express software from Applied Biosystems and synthesized (Table 1).
Table 1. Primer sets used in PCR
Gene |
Forward (5’-3’) |
Reverse (5’-3’) |
Tbp |
ACTCCTGCCACACCAGCC |
GGTCAAGTTTACAGCCAAGATTCA |
Grp-78 |
AACCCAGATGAGGCTGTAGCATA |
CACAGTGTTCCTCGGAATCAGTT |
Srebp-1c |
GACGACGGAGCCATGGATT |
GGGAAGTCACTGTCTTGGTTGTT |
Fas |
CTATTGTGGACGGAGGTATC |
TGCTGTAGCCCAGAAGAG |
Statistical analysis. Data are provided as means ± S.E.M. All data were tested for significance using unpaired Student t-test or ANOVA. Only results with p<0.05 were considered statistically significant.
RESULTS
Cell viability assays
For a 12 h stimulation, the surviving fractions of the 0.8% BSA+OA, 1.2% BSA and the 1.2% BSA+OA treated cells were significantly higher than in the control groups (p<0.05, Table 2). Also for a 24 h stimulation, the survival rates of the 0.8% BSA group, the 0.8% BSA+OA group, the 1.2% BSA group and the 1.2% BSA+OA group, were significantly higher than in the control groups (p<0.05). On the other hand, the surviving fractions in the alcohol group, alcohol+OA group, 0.8% DMSO group and the 0.8% DMSO+OA group were significantly lower than in the control groups (p<0.05) after 24 hour stimulation.
Table 2. Cell viability assays in BRL 3A cells with OA in different solvents
6 h |
12 h |
24 h |
||||
OD Count |
Fraction Surviving |
OD Count |
Fraction Surviving |
OD Count |
Fraction Surviving |
|
Control |
0.673 ± 0.02 |
100% |
0.697 ± 0.015 |
100% |
0.655 ± 0.001 |
100% |
H2O |
0.653 ± 0.003 |
96.93% |
0.663 ± 0.038 |
95.17% |
0.626 ± 0.02 |
95.57% |
H2O+OA |
0.622 ± 0.021 |
98.33% |
0.680 ± 0.016 |
97.56% |
0.727 ± 0.014 |
101.00% |
KOH |
0.673 ± 0.04 |
99.90% |
0.695 ± 0.007 |
99.71% |
0.639 ± 0.03 |
97.61% |
KOH+OA |
0.696 ± 0.043 |
103.32% |
0.712 ± 0.008 |
102.15% |
0.709 ± 0.091 |
108.35% |
Alcohol |
0.607 ± 0.03 |
90.10% |
0.644 ± 0.005 |
92.35% |
0.541 ± 0.02* |
82.59% |
Alcohol+OA |
0.556 ± 0.012 |
92.57% |
0.671 ± 0.030 |
96.27% |
0.530 ± 0.022* |
89.96% |
PBS |
0.644 ± 0.007 |
95.59% |
0.650 ± 0.007 |
93.26% |
0.617 ± 0.005 |
94.20% |
PBS+OA |
0.697 ± 0.018 |
103.47% |
0.641 ± 0.053 |
91.97% |
0.607 ± 0.004 |
92.63% |
0.4% BSA |
0.611 ± 0.01 |
95.69% |
0.728 ± 0.051 |
104.50% |
0.668 ± 0.03 |
101.99% |
0.4% BSA+OA |
0.701 ± 0.023 |
104.06% |
0.745 ± 0.063 |
106.89% |
0.731 ± 0.013 |
111.61% |
0.8% BSA |
0.651 ± 0.03 |
96.68% |
0.782 ± 0.017 |
112.15% |
0.759 ± 0.01* |
115.94% |
0.8% BSA+OA |
0.764 ± 0.018 |
113.51% |
0.795 ± 0.026* |
114.06.% |
0.776 ± 0.023 * |
118.58% |
1.2% BSA |
0.756 ± 0.02 |
112.33% |
0.869 ± 0.063* |
124.73% |
0.997 ± 0.08* |
152.29% |
1.2% BSA+OA |
0.690 ± 0.041 |
102.48% |
0.829 ± 0.012* |
118.94% |
0.791 ± 0.018 * |
120.88% |
0.1% DMSO |
0.632 ± 0.01 |
93.91% |
0.674 ± 0.002 |
96.75% |
0.625 ± 0.07 |
95.42% |
0.1% DMSO+OA |
0.657 ± 0.015 |
97.52% |
0.632 ± 0.108 |
94.70% |
0.527 ± 0.047 |
95.45% |
0.4% DMSO |
0.638 ± 0.02 |
94.75% |
0.686 ± 0.043 |
98.37% |
0.636 ± 0.01 |
97.20% |
0.4% DMSO+OA |
0.612 ± 0.077 |
90.89% |
0.782 ± 0.039 |
90.67% |
0.627 ± 0.032 |
95.82% |
0.8% DMSO |
0.595 ± 0.01 |
88.32% |
0.604 ± 0.045 |
86.66% |
0.517 ± 0.03* |
78.93% |
0.8% DMSO+OA |
0.488 ± 0.018* |
82.48% |
0.604 ± 0.038 |
86.66% |
0.517 ± 0.014* |
78.92% |
Fraction Surviving: OD of treated samples/OD of control samples*100. Statistical significance: *p<0.05 vs. control at the same time point; **p<0.01 vs. control at the same time point.
Effect of OA in different solvents on BRL-3A induction of TG and TC counts
TG counts for the alcohol, 1.2% BSA, KOH+OA, alcohol+OA, 0.8% BSA+OA and 1.2% BSA+OA groups were significantly higher than in the control group (p<0.05) (Fig. 1). TG count for the KOH+OA group, alcohol+OA group and 1.2% BSA+OA group were significantly higher than in the corresponding solvents group. No significant difference was seen in TC counts among different solvent groups and normal control groups (Fig. 1).
Figure 1. TG and TC counts in BRL 3A cells treated with OA in different solvents or solvents only
TG and TC counts in BRL 3A cell which treated with solvent or OA in different solvents for 12 h. (a) BRL 3Acells were seeded in six-well culture plates and treated with OA in different solvents or the solvents only for 12 h. The supernatants were collected for TG analysis using commercial enzymatic kits and a microplate multifunction reader. (b) BRL 3Acells were seeded in six-well culture plates and treated with with OA in different solvents or the solvents only for 12 h. The supernatants were collected for TC analysis using commercial enzymatic kits and a microplate multifunction reader. *indicates a significant difference (p<0.05) between solvent and control groups; † indicates a significant difference (p<0.05) between solvent+OA and corresponding solvent group; neither *, nor †, indicates no significant difference (p>0.05).
Intracellular ROS
As showed in Fig. 2, the observations were further corroborated by an increased ROS production in the alcohol and DMSO groups. ROS production in the KOH+OA and alcohol+OA groups was significantly increased compared to the corresponding solvent groups. ROS production in the PBS+OA, BSA+OA and DMSO+OA groups was increased compared to the corresponding solvent groups. No significant difference in ROS production was observed between H2O+OA and H2O groups.
Figure 2. ROS analysis using a fluorescence microscope.
The intensity of fluorescence corresponds to the amount of ROS. The stronger the fluorescence intensity in the picture, the more ROS in the BRL 3A cells. The weaker the fluorescence intensity in the picture, the less ROS in the BRL 3A cells. Figures a, b, c, d, e, f, g, h, i, j, k, l and m correspond to control H2O, H2O+OA, KOH, KOH+OA, Alcohol, Alcohol+OA, PBS, PBS+OA, BSA, BSA+OA, DMSO and DMSO+OA groups, respectively.
Effect of OA in different solvents on GRP78, SREBP-1C and FAS mRNA in BRL 3A cells
GRP78 mRNA levels were significantly higher in the alcohol, KOH+OA, alcohol+OA and 1.2 % BSA+OA groups compared to the control groups (p<0.05, Fig. 3). GRP78 mRNA was significantly higher in the KOH+OA and alcohol+OA groups compared to corresponding solvent groups (p<0.05). Other groups had higher GRP78 expression than the control groups, but the differences were not significant.
Figure 3. GRP78, SREBP-1C and FAS mRNA counts in BRL 3A cells
Figures a, b and c correspond to GRP78, SREBP-1C and FAS mRNA counts, respectively. *indicates a significant difference (p<0.05) between solvent and control groups; † indicates a significant difference (p<0.05) between solvent+OA and corresponding solvent groups; neither *nor †, indicates no significant difference (p>0.05).
SREBP-1C mRNA levels were significantly lower in the alcohol, KOH+OA, alcohol+OA, 1.2% BSA+OA, 0.8% BSA+OA and 0.8% DMSO+OA groups compared to the control group (p<0.05). SREBP-1C mRNA in the KOH+OA, 0.8% DMSO and 0.8% BSA groups was significantly lower than in the corresponding solvent groups (p<0.05). FAS mRNA levels were significantly lower in the H2O+OA, KOH+OA, alcohol+OA, 0.4% BSA, 0.8% DMSO and 0.8% DMSO+OA groups compared to the control group (p<0.05). FAS mRNA levels in the KOH+OA groups were significantly lower than in the corresponding solvent groups (p<0.05).
DISCUSSION
NAFLD becomes increasingly prevalent due to the worldwide obesity epidemic and currently affects about one billion people worldwide (Webster, 2017). Steatosis is the earliest and most common stage of NAFLD and is often referred to as the “first hit”. During this stage, FFAs accumulate in the cells, which is followed by the production of ROS and lipid peroxidation. It has been proposed that the lipotoxicity of FFAs increases the liver’s vulnerability to a “second hit” involving environmental and/or genetic factors, which ultimately can lead to end-stage liver disease (Periasamy et al., 2014). Growing evidence suggests that endoplasmic reticulum (ER) stress may link saturated fatty acids to NAFLD (Mota et al., 2016). ER stress causes the activation of the unfolded protein response (UPR) and the sterol regulatory element-binding protein (SREBP) pathway (Zhao & Ackerman 2006). Once activated, the UPR increases the expression of intraluminal ER chaperones, especially GRP78, in order to cope with the accumulation of unfolded or misfolded proteins. Hence GRP78 is a marker of endoplasmic reticulum stress (Moslehi et al., 2017). In contrast, SREBP-1 acts as a transcription factor that regulates the genes that control the synthesis of fatty acids and the cellular uptake of lipoproteins (Zhang et al., 2014). SREBP-1c regulates hepatic lipogenic gene transcription and insulin-induced lipogenesis, and its target genes include FAS, acetyl coenzyme A carboxylase (ACC), and low-density lipoprotein receptor (Liao et al., 2010). SREBP-1c is involved in almost all hepatic fatty acid and TG synthesis, gene transcription and TG synthesis, gene transcription and transformation. FAS is a fatty acid synthase. Both SREBP-1C and FAS are regulators of de novo fat synthesis (Zhou et al., 2017).
In previous work (Muller et al., 2010) have demonstrated that non-esterified fatty acid (NEFA) caused NAFLD-like changes within hepatocytes, including lipid accumulation, oxidative stress and cell death (Muller et al., 2012). High concentrations of NEFAs can induce oxidative stress in hepatocytes by increasing the levels of ROS (Shi et al., 2015; Song et al., 2016; Du et al., 2017). To study the pathogenesis mechanism of NAFLD in vitro, fatty acids were used to induce hepatic lipid deposition. But the effects of the use of the different solvents for fatty acids remained unclear. Alcohol has been used in many studies (Lagrutta et al., 2017; Chen et al., 2014; Liao et al., 2014) as a solvent of oleic acid. Some experiments have proved that low concentration of DMSO (Rogue et al., 2014; Zhang et al., 2004) exerted little damage to the cells, so we chose 0.8% 0.4% 0.1% concentration of DMSO for our experimentation. KOH was chosen as the solvent for oleic acid because many NEFA models of non-alcoholic fatty liver were dissolved in KOH (Liu et al., 2014; Wang et al., 2015). For an overall evaluation of the influence of oleic acid in different solvent media on the cells, PBS and H2O were also used as solvents in this research. In the present study, BRL 3A cells were treated with OA in different solvents to explore the influence of these solvents on hepatic lipid deposition. We screened the mild solvents of oleic acid to see the effects of different solvents on cell viability, toxicity and the degree of oxidative stress and hepatocyte lipid deposition. It was found that the OA dissolved in H2O and PBS had no significant effect on hepatocytes’ response, which did not differ from the control group,. This was probably because H2O and PBS are disadvantageous to the dissolution of OA. Alcohol is commonly used in the study of alcoholic fatty liver disease (Zhu et al., 2014; Zhang et al., 2014). OA dissolves in high concentration of alcohol, but high alcohol concentration is also toxic to the cells, resulting in oxidative and endoplasmic reticulum stress (Caires et al., 2012). In this study, cells treated with alcohol+OA had significantly increased and severe ER stress, oxidative stress and hepatic fat deposition, compared to the other groups. However, as the alcohol also leads to liver injury, it was considered not appropriate as a solvent to the study of fatty acid in fatty liver, but remains suitable for the research on liver cell degeneration. DMSO is a universal solvent routinely used in experimental and biological disciplines. It is often used to solubilize drug molecules that are otherwise poorly soluble at concentrations of a 10% (v/v) range (Galvao et al., 2014). In this study we observed that although when the concentration of DMSO is low, it has little effect on the cell, it is cytotoxic at higher DMSO concentration, causing oxidative stress and endoplasmic reticulum stress. The survival rates of the 1.2% BSA group and the 1.2% BSA+OA group were significantly higher than in the control groups. That was probably because BSA can promote cell growth as a nutrient. The cells treated with BSA showed a lower grade TG and endoplasmic reticulum stress compared with KOH+OA and Alcohol+OA groups. In addition, 1.2% BSA+OA treated cells showed a significantly increased fat deposition compared to the control and BSA groups. KOH was usually used as the solvent for fatty acids (Song et al., 2016). In this study, KOH group had no significant influence on cell viability, lipid deposition and oxidative stress as compared the control group, while KOH+OA group exhibited a typical hepatocyte damage. In summary, we consider KOH to be the most suitable choice for an OA solvent to be used for BRL 3A cells.
Confict of interest statement
The authors have declared that no competing interest exists.
Acknowledgement of Financial Support
This work was supported by the National Natural Science Foundation of China (31502133); the Natural Science Foundation of Heilongjiang Province of China (C2015043) and the National Program on Key Research Project of China (2016YFD0501206); Personnel Foundation in Heilongjiang Bayi Agricultural University (XYB2015-08)
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