Abstract
Although cholangiocarcinoma (CCA) has a low incidence globally, this is extremely high in Northeast Thailand. The lack of both early detection measures and effective therapeutic drugs is the major problem for the poor prognosis of CCA patients. Based on regional knowledge, it would be advantageous to search for effective natural phyto-products for the treatment of CCA. Cardiospermum halicacabum L., Gomphrena celosioides Mart. and Scoparia dulcis L., very well-known medicinal herbs in Asian countries, were selected for the investigation of inhibitory effects on CCA cells. Of the three different ethanolic extracts, S. dulcis L extract showed most inhibitory effects on cell growth of CCA cell lines KKU-100 and KKU-213, at percentages of 56.06 and 74.76, respectively, compared to the untreated group after treatment with 250 μg/mL of extracts for 72 hrs. At 400 and 500 μg/mL of the extracts, the inhibitory effect of KKU-213 was indicated by a significant increase in the BAX/Bcl-2 ratio and cell membrane permeability. Moreover, metabolic profiling-based screening employed in the current study revealed a significant positive association between the lignin compound and a decrease in CCA cell viability. Our study suggests, for the first time, that ESD has the ability to inhibit CCA cell growth through the induction of apoptosis.
Introduction
Cholangiocarcinoma (CCA) is a cancer originating in hepatic biliary epithelial cells. Although this type of cancer has a low incidence in most countries worldwide, it has a very high incidence in the Mekong Region of Southeast Asia, especially in northeast Thailand where it is 87.7 per 100,000 for males and 36.3 for females [1]. Here, host-parasite defense mechanisms contribute to cholangiocarcinogenesis [2]. Free radicals, including reactive oxygen species (ROS) and reactive nitrogen species (RNS), arise from chronic Opisthorchis viverrini infection. These can cause severe damage to proteins, nucleic acids and lipids and can potentially lead to CCA initiation and progression [3–5]. As CCA is usually diagnosed at an advanced stage the prognosis is poor and treatment largely ineffective. The lack of early detection and effective therapeutic treatment for this cancer are major reasons for its poor prognosis and control [6]. Treatments of CCA include surgery, radiation- and/or chemotherapy. Many anticancer drugs, such as 5-fluorouracil and gemcitabine, have been frequently used for the treatment of CCA patients, however, there is a low response rate, short median survival time and toxicity, along with a decrease in blood cell production and electrolyte imbalance [7]. At present, several mechanisms for anticancer drug resistance have been proposed, including changes in cellular uptake and efflux of the drug [8, 9]. Therefore, the search for effective therapeutic agents for CCA is necessary.
The daily diet of a large quantity of vegetables, fruits, and other plant products can reduce the risks for aging-related diseases such as cancer and hypertension, and stabilize blood sugar levels [10]. Because medicinal plants contain non-nutritive metabolites or phytochemicals, these plants are, therefore, becoming an abundant source of such agents for cancer prevention and treatment. Most plant phenolics have antioxidant properties, but they also play a role in cytotoxicity. Many studies suggest that high phenolic content is correlated with high antioxidant activity, and has a cytotoxicity on cancer cells greater than that of low concentrations of phenolics [11]. The use of effective doses of plant phenolics allows the integrative practitioner to increase tumor response to therapy [12]. The local Thai medicinal plants Cardiospermum halicacabum L. (balloon vine), Gomphrena celosioides Mart. (Soft khaki weed) and Scoparia dulcis L. (Sweet Broomwort) are tested for their efficacy in this study (Fig 1). The Ayurvedic use of C. halicacabum for the treatment of rheumatoid arthritis has been previously reported [13]. G. celosioides has diuretic potency in addition to relieving liver disease [14, 15], and S. dulcis can be used as an anti-diabetes and anti-inflammatory agent [16]. Several studies have reported the bioactive compounds of S. dulcis using different bioassays. A 70% ethanol extract of S. dulcis contains polyoxygenated flavone as a major compound and has a cytotoxic effect on HeLa cells [17]. Scopadulcis acid B, which is a diterpene suppressing the effects of tumor promoter 12-O-tetradecanoylphorbol-13-acetate (TPA), is considered as the activator for the signal transduction enzyme protein kinase C (PKC), leading to the inhibition of skin tumor formation in mice induced by 7,12-dimethylbenz[a]anthracene [18]. However, the anti-cancer ability of these medicinal plants has been little studied.
Metabolomics provides the entire collection of metabolites in a living system, i.e. the metabolome, which is a complex and multidimensional data set that can be further analyzed using a chemometric approach to discover biological activity-related bioactive compounds [19, 20]. Mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy are the major analytical platforms in metabolomics research [21]. However, NMR spectroscopy is the more powerful analytical tool for metabolic profiling using two-dimensional techniques for the evaluation of the structures of bioactive compounds derived from plant extracts [22]. Due to the complexity of metabolome data, principal component analysis (PCA) is used to transform the variables of each sample into fewer dimensions [23]. To identify bioactive compounds, orthogonal partial least squares (O-PLS) regression analysis can be employed using continuous predictive information among plant samples to filter out unwanted variables in the data [24, 25]. As a consequence, the metabolic profiling-based screening of medicinal plants reduces the number of steps and bioassays required in the conservative screening method [26]. This leads to an increased interest in the use of metabolomics, together with the chemometric approach, for the identification of bioactive compounds from selected Thai medicinal herbs, especially in anti-CCA activity. Therefore, the aim of this study was to determine whether anti-CCA metabolites were present in ethanolic extracts of S. dulcis, C. halicacabum and G. celosioides.
Materials and methods
Plant collection
The selected herbs, C. halicacabum (ECH), G. celosioides (EGC) and S. dulcis (ESD) were harvested from local fields in Phetchabun province, Thailand (16°17'43.5"N 101°05'23.2"E) during January 2016. Taxonomic classification of these plants was conducted by Prof. Dr. Arunrat Chaveerach (Department of Biology, Faculty of Science, Khon Kaen University).
Chemicals and reagents
For extraction, commercial grade ethanol (S.C. Science Co., Ltd., Thailand) was used. Folin-Ciocalteau, 2,4,6-Tripyridyl-s-triazine (TPTZ), 2,2-Diphenyl-1-picrylhydrazyl (DPPH), Sodium hydroxide (NaOH), (±)-6-Hydroxy-2,5,7,8-tetramethylchromane-2-carboxylic acid (Trolox), gallic acid, Hydrochloric acid (HCl), Sulforhodamine B (SRB) and skim milk were purchased from Sigma-Aldrich (St Louis, MO, USA). Sodium percarbonate (Na2CO4) was purchased from Carlo Erba (Milan, Italy). Ferric chloride hexahydrate (FeCl3·6H2O) was purchased from AnalaR (Lutterworth, UK). Polyoxyethylene-20 (Tween 20) was obtained from Bio Basic (Ontario, Canada). Ham's F12 nutrient mixture, bovine serum albumin (BSA), penicillin-streptomycin and trypsin-EDTA were obtained from Life technologies (Grand Island, NY, USA). Enhanced chemiluminescence plus solution (ECL) was provided by GE healthcare (Buckinghamshire, UK). Pierce bicinchoninic acid (BCA) protein assay kit and CM-H2DCFDA (General Oxidative Stress Indicator) were provided by Thermo Scientific (Rockford, IL, USA). Potassium dihydrogen phosphate (KH2PO4) and Deuterium Oxide (D2O) were purchased from Merck (Darmstadt, Germany). 3-(Trimethyl-silyl)propionic acid-d4 sodium salt (TSP), used as the internal standard reference for NMR analysis, was obtained from Cambridge Isotope Laboratories (Andover, MA, USA).
The primary antibodies (Ab), including mouse anti-actin Ab, mouse-anti BAX Ab and rabbit-anti Bcl-2 Ab, were purchased from Abcam (Cambridge, UK). The secondary Ab including anti-mouse Ab and anti-rabbit Ab were purchased from GE healthcare (Buckinghamshire, UK) and Sigma (St Louis, MO, USA), respectively.
Cell lines
The CCA cell lines KKU-100 (JCRB 1568) and KKU-213 (JCRB 1557) were developed by Prof. Banchob Sripa under the Cholangiocarcinoma Research Institute, Khon Kaen University, Thailand. The protocol for the cell development was approved by the Ethics Committee for Human Research, Khon Kaen University (#HE571283). The cells were obtained from the Japanese Collection of Research Bioresources (JCRB) Cell Bank, Osaka, Japan and cultured in Ham's F12 nutrient mixture supplemented with 10% fetal bovine serum and 100 IU/mL of penicillin-streptomycin. The cultured cell lines were incubated at 37°C in a humidified incubator with 5% CO2 atmosphere.
Sample preparation and crude extraction
The leaves of herbs were dried in a hot air oven at 50°C. The dried leaves were chopped and mashed into fine powder (100 g). Next, the powder was macerated in one liter of 90% ethanol for five days at room temperature. The liquid extract was evaporated under a vacuum using a rotary evaporator (Buchi, Switzerland). The crude extracts of C. halicacabum (ECH), G. celosioides (EGC), Scoparia dulcis (ESD) were separately obtained and stored at 4°C for further analyses.
Determination of total phenolic content
A total of 500 μL of 0.2 N Folin-Ciocalteau reagent was added to 200 μL of the extract. After incubation with light protection for 30 min, 400 μL of 7% Na2CO4 was added. The absorbance of the mixture was measured at 750 nm using a spectrometer (Genesys 20, Thermo scientific, USA). As compared with the standard compound, TPC was reported as milligrams of gallic acid equivalent per gram dry weight (μg GAE/mg dry wt).
Antioxidant assessments by ferric reducing antioxidant power (FRAP) assay
This experiment was performed as described in a previous study [27]. FRAP reagent was freshly prepared by mixing 300 mM sodium acetate buffer pH 3.6, 10 mM TPTZ in 40 mM HCl, 20 mM FeCl3•6H2O at ratio of 10:1:1. Then, 500 μL of FRAP reagent was added to 500 μL of the extract and left at room temperature for 5 min. The absorbance at 593 nm was then recorded. This antioxidant activity was reported as milligrams gallic acid equivalent per gram dry weight (μg GAE/mg dry wt).
DPPH• radical scavenging activity of selected herb extracts
A total of 1 μg/mL of the extracts and standard Trolox were used in this experiment. Briefly, 80 μL of the extract was added into 120 μL of 200 μM DPPH reagent. After gently shaking for 2 min, the mixture was left for 30 min at room temperature with light protection. After that, the absorbance was measured at 517 nm using a microplate reader (Tecan, Switzerland). The measurement was carried out in triplicate. The calculation was performed as described in a previous report [28].
Cytotoxicity test
All tested cell lines were seeded into 96-well culture plates at a density of 2×103 cells/well. After culturing for 12 hrs, the media was treated with the extract dissolved in deionized water and further diluted in cultured media. The cells were cultured for a further 48 and 72 hrs. In addition, the plate for no-growth control (day 0) was set and cell viability determined using the SRB assay as previously described [29]. In brief, cultured cells were fixed with 10% trichloroacetic acid for 1 hr. After washing with phosphate buffered saline, fifty microliters of SRB dye was added into each well and incubated for 45 min. Then, 1% acetic acid was used to wash the unbound dye. Plates were dried at 60°C. Two hundred microliters of 10 mM Tris-base pH 10.5 was added into each well to lyse the cells. The absorbance was determined with microplate reader (Tecan, Switzerland). The highest inhibitory effect on CCA among selected herb extracts was selected for further studies.
Clonogenic assay
The clonogenic assay was performed as described in a previous study [30]. Exponentially growing cells were harvested from a stock culture and seeded at 200 cells/well in six-well plates. After incubation for 12 hrs, the existing media was removed. Cells were treated with 50–250 μg/mL of ESD. The plates were incubated for 48 hrs. After incubation, the existing media was then removed and renewed every 3 days. The colonies were assessed after culturing for 7 days. They were fixed with paraformaldehyde (4.0% v/v) and stained with crystal violet (0.5% w/v). The images of colonies were captured using a camera (taken under uniform conditions). Then, the colony area was determined using imageJ software. The experiment was conducted in duplicate.
Detection of intracellular reactive oxygen species
Briefly, CCA cells were plated into six-well plates in complete HAM medium for 18 hours. Then, 50–200 μg/mL of crude extract was added into the cell culture for 48 hrs. After that, the cells were washed twice using PBS, then incubated in medium containing 5 μM of CM-H2DCFDA. After 20 min, the cells were washed with PBS and the cell pellets collected by trypsinization. Five hundred mL of PI was added before finally examining the intensity of fluorescence by flow cytometry (FACSCanto II, BD Biosciences, UK). The cellular ROS level was determined in duplicate.
Annexin V/PI staining
Annexin-V and propidium iodide (PI) staining were used to determine apoptotic and necrotic cells. At first, CCA cells (2x104 cell/mL) were plated in the chamber slide (Corning, USA) and incubated for 24 hrs. Then, 100–500 μg/mL of crude extract was added into the cell culture for 48 hrs. To monitor apoptotic and necrotic cells, the media was removed from the cell culture slide. Annexin-V and PI diluted in incubation buffer (each 1:200) were added and incubated for 10–15 min at room temperature. Finally, staining cells were immediately captured using fluorescence microscopy (Zeiss LSM 800, Carl Zeiss, Germany).
Western blot analysis
CCA cells were treated with various concentrations of the extracts for 48 hrs. After collecting the living cells, these were washed with ice-cold phosphate buffered saline and lysed using RIPA lysis buffer (0.1% sodium dodecyl sulfate (SDS), 0.5% sodium deoxycholate, 50 mM Tris, 1% Tween 20 and protease cocktail inhibitor). The protein concentration was determined using BCA Protein assay. Equal amounts of protein were resolved in 4x SDS buffer and boiled at 95°C. Then, proteins were loaded and separated by 10% (w/v) SDS-polyacrylamide gel electrophoresis before being transferred to a polyvinylidene fluoride membrane (Immobilon, Merck). After blocking the non-specific sites with 5% (w/v) skimmed milk in Tris-buffered saline (TBS), the membrane was probed with primary Ab, mouse anti-actin Ab (1:10,000), mouse-anti-BAX Ab (1:1,000) and rabbit-anti Bcl-2 Ab (1:1,000). Then, the membrane was washed with TBS containing 0.1% Tween 20 (TTBS) 3 times and TBS once before being incubated with secondary Ab conjugated with horseradish peroxidase. Immunodetection was performed using ECL. The apparent density of the bands on membranes was captured using ImageQuantTM Imager (GE Healthcare UK Ltd., UK). The experiments were performed in triplicate.
1H-NMR based metabolomics analysis of medicinal plants
Twenty mg of plant extract was placed into a test tube. D2O (pH 7.0) containing 0.1% (w/w) TSP was added and vortexed for 1 min at room temperature. After 20 min ultrasonication at room temperature, the mixture was passed through a 0.20 μm filter (Corning, USA). The supernatant was transferred into a 5 mm NMR tube. Proton NMR spectra were acquired using a 400 MHz NMR spectrometer (Bruker, USA). Chemical shift referencing, baseline correction and phasing were performed. Next, the NMR spectral data were processed using MestReNova (Mestrelab Research, USA) software to adjust the peak alignment, normalization and scaling. Multivariate statistical analysis was used to identify differences among samples. PCA and O-PLS analyses were performed using SIMCA-P+ version 12 (Umetrics Inc., Sweden). The data were mean-centered and scaled to Pareto. To confirm the assignment of correlated resonances, statistical total correlation spectroscopy (STOCSY) was employed [31]. Moreover, the resonances of interest were searched against online metabolite databases such as biological magnetic resonance data bank (BMRD) and human metabolome database (HMDB) [32]. To further confirm the metabolite assignment, two-dimensional (2-D) NMR experiments, including correlation spectroscopy (COSY) and heteronuclear multiple bond coherence (HMBC), were performed.
Statistical analysis
The TPC, antioxidant assessments, cytotoxicity test and BAX:Bcl-2 ratio were presented as mean±standard deviation (S.D.) from three independent experiments and analysed using student’s t tests in SPSS version 17.0 (SPSS Inc., USA). A p-value <0.05 was considered as statistically significant. Multivariate analysis was performed using MATLAB (Mathworks, USA) and SIMCA-P+ (Umetrics, Sweden) softwares [31].
Results
Phenolic content and antioxidant activity assessments
In this study, total phenolic content was measured using the Folin–Ciocalteu method. The linear calibration curve was plotted by the series of gallic acid concentrations against their absorbance. This gave a coefficient of correlation (r) value of >0.95. ESD was shown to contain a slightly higher phenolic content compared with EGC. However, EGC showed the highest antioxidant activity followed by ESD and ECH (Table 1). At a similar concentration, EGC and ESD demonstrated a greater inhibition of the DPPH• radical compared with the Trolox standard (Fig 2).
Table 1. Total phenolic content and its antioxidant accessed by FRAP method.
Herb extracts | Total phenolic content (μg GAE/mg dry wt) |
FRAP assay | |
---|---|---|---|
(μg GAE/mg dry wt) | (μg Trolox/mg dry wt) | ||
ECH | 91.13±26.31 | 9.89±0.06 | 40.69±0.35 |
EGC | 777.60±23.57 | 21.59±0.20 | 109.92±1.15 |
ESD | 784.00±30.53 | 21.26±0.42 | 107.97±2.51 |
Cytotoxicity test
The cell viability of the two CCA cell lines was assessed using SRB assay following 48 and 72 hrs of treatment with plant extracts at 62.5–1,000 μg/mL. The results showed that all CCA cell lines responded to the cytotoxic effects of the plant extract in dose- and time-dependent manners (Fig 3). ESD was shown to have the greatest inhibitory effect on CCA cell growth compared with other plant extracts. After the treatment with 250 μg/mL of extract, only ESD significantly inhibited the growth of KKU-100 and KKU-213 with a percentage of cell viability of 34.45% ± 2.76 and 66.11% ± 1.63%, respectively, after 48 hrs of treatment, and 56.06% ± 2.13 and 74.76% ± 1.64%, respectively, after 72 hrs of treatment. In contrast, ECH and EGC showed only slight inhibitory effects on CCA cell growth even at higher concentrations. Therefore, ESD was selected for further functional analysis. The half maximal inhibitory concentration (IC50) is present in S1 Table.
Clonogenic assay of ESD
Clonogenic assay is normally used to determine the potential of single cells by colony formation. CCA cell lines were seeded in a culture dish. This method can be employed to observe the drug sensitivity of cancer cells. In Fig 4, the percentage of colony formation declined in ESD in a dose-dependent manner, similarly to the inhibitory effect on CCA cells. The potential inhibition of ESD on KKU-100 cell was less than that on those of KKU-213.
ESD induced apoptosis effects
ESD induced oxidative stress in CCA cells after treatment for 48 hrs (S1 Fig). The percentage of cellular ROS level in both studied cell lines increased in a dose dependent manner (S2 Fig). Furthermore, the apoptosis induction of the ESD was determined using cell staining with Annexin V and PI. Early apoptotic cells showed the loss of plasma membrane asymmetry which was detected using Annexin V binding with phosphatidylserine. Then, PI binds with DNA in late apoptosis. The apoptotic cells were detected using fluorescence microscopy. ESD induced KKU-213 cell apoptosis, however, apoptotic cells were not observed on KKU-100 (Fig 5).
We examined the expression of anti-apoptosis protein, Bcl-2 and pro-apoptotic protein, BAX. Decreased Bcl-2 levels were observed in all CCA cell lines after treatment with ESD, whereas BAX protein expression increased in KKU-213. ESD, increased the ratio of BAX/Bcl-2, triggering apoptotic cell death (Fig 6).
Identification of anticancer activity-related bioactive compounds
The main metabolite compositions of each plant extract were investigated using 1H-NMR-based metabolic profiling (Fig 7). NMR spectra of all plant extracts showed the proton resonances at δ1H 1.04 (d) and 1.49 (d) ppm, indicating that all extracts contained valine and alanine, respectively. The presence of sugars (δ1H 3.10–4.50), including inositol, inositol pyrophosphate and xylobiose, were predominantly found in ECH, whereas xylulose and allose were observed in ESD. In addition, the predominant intensity of lignin compound 2012 (δ1H 3.70 (s), 3.79 (s), 4.84 (t), 5.82 (s), 6.82 (dd), 6.94 (m)) in ESD was observed. Betaine (δ1H 3.25 (s) and 3.89 (s)) was the dominant metabolite in EGC. It is, however, noteworthy that EGC was shown to contain coniferyl alcohol in the form of coniferin. The metabolites’ assignment is shown in S2 Table.
To investigate the CCA cell viability reduction-related bioactive compounds, the 1H NMR data sets of all plant extracts and the percentage of cell viability were analyzed using O-PLS regression analysis. The validity of the regression models was determined using a goodness of fit (R2X) and a goodness of prediction (Q2Y) of above 0.8 and 0.9, respectively. In addition, the permutation p-value, assessing the class-predictability of the model, further confirmed the validity of the O-PLS model (p < 0.05). Interestingly, the O-PLS score plots (Fig 8, left panel) indicated that ESD was inversely correlated with percentage of CCA cell viability. The coefficient loading plots of the O-PLS regression models displayed significant metabolites that correlated with either lower or higher cell viability (Fig 8, right panel). The key metabolites in ESD that were associated with lower CCA cell viability included lignin compound 2012, glycyl-glycine and allose (Fig 8). The proton signal at δ1H 3.79 (s), assigned as phenol lignin (CH3O-Ph), was the most significantly predominant peak on the NMR spectrum [33]. In addition, COSY and HMBC experiments demonstrated the β-O-4 linkage of two coniferyl acetate in the structure of lignin compound 2012 (S3 and S4 Figs). The structure of ESD-derived anticancer compound is shown in S5 Fig.
Discussion
Medicinal plants are valuable for traditional medicine. Some parts of herbal plants, such as the roots, stems, leaves and flowers, are used for food production and treatment against some diseases as they have been shown to contain both primary and secondary metabolites. Primary metabolites are the nutrient compounds such as carbohydrates, proteins and lipids, whereas secondary metabolites include flavonoids, carotenoids and terpenoids that play vital roles in several biological activities. In the current study, the selected medicinal herbs C. halicacabum, G. celosioides, S. dulcis were extracted with 90% ethanol resulting in ECH, EGC and ESD, respectively. A previous report suggested that the crude ethanolic extraction had the highest yield of phenolics [34]. As a consequence, the presence of high phenolic content could yield remarkably high antioxidant activities [35]. Our results revealed that EGC contained the highest phenolic content and high antioxidant activity followed by ESD and ECH. The two methods of antioxidant assessments were selected to determine the extracts ability in transferring electrons (ET) or hydrogen atoms (HAT). FRAP assay is a HAT-based method, whereas, DPPH• radical scavenging activity assay is both HAT- and ET-based [36]. In our experiment, the crude extract contains a mixture of chemical constituents. It may contain compounds that possess some metabolites with or without antioxidant property, but which could play a role in anticancer treatment. A low dose of plant extract acts as an antioxidant, decreasing the ROS level in normal cells and activating Nrf2 to bind with the antioxidant response element then inducing antioxidant enzymes expression [37]. This could be a benefit of plant phenolics for cancer chemoprevention. However, the efficacy (higher) dose usage of the plant extract plays role in inhibitory effects [12]. Recently, attention has been focused on the anticancer properties of phenolics for application in chemotherapy. This study, for the first time, provides candidate compounds derived from medicinal herbs possessing anti-CCA property.
Currently, most CCA chemotherapeutic agents have low response rates, a short median survival time and toxicity to many patients. A search for effective therapeutic agents is, therefore, needed to improve the sensitivity of treatment. To demonstrate the inhibitory effect of selected medicinal herbs, we examined CCA cell viability using the SRB assay showing that ESD greatly inhibited CCA cells from the KKU-100 and KKU-213 cell lines. The inhibitory effect of EGC on CCA cell lines was inferior to ESD and ECH. A recent study showed that an IC50 of the ethanolic and aqueous extracts of G. celosioides on HepG2 cells was higher than 250 μg/mL [14]. C. halicacabum has been reported to have an antiproliferative effect on Ehrlich ascites carcinoma (EAC) cell lines for which 200 μg/mL of the ethanolic and chloroform extracts inhibited the EAC cells by about 60 percent [38]. The presence of s-(5'-Adenosyl)-L-methionine in ECH could inhibit cancer cell growth as described by previous reports [39, 40]. However, ECH and EGC have been shown to have only a slight inhibitory effect on CCA cell growth. Only ESD had inhibitory effects on CCA cell lines by apoptosis induction. The half maximal KKU-213 growth inhibitory concentration was lower than our lowest concentration of the ESD tested (63 μg/mL). Previous studies found that betulinic acid, a triterpene isolated from S. dulcis, showed a cytotoxic effect on human carcinoma cell lines (AGS) [17]. Scopadulcis acid B, which is a diterpene, showed potential inhibition of phospholipid synthesis in skin cancer formation [18]. However, the molecular mechanistic effects of S. dulcis extract have been rarely reported.
Generally, ROS are constantly generated in aerobic cellular metabolism during oxidative phosphorylation. However, the elevation of ROS, which plays an upstream role in the activation of cell apoptosis, is a selectively strategy to inhibit cancer cells [41, 42]. Here, we describe the inhibitory effect of S. dulcis on CCA cell lines for the first time. We determined the potential of plant extracts to increase the intracellular ROS level, which might show their effectiveness as cancer cell inhibition agents through apoptosis. To investigate the apoptotic protein expression, BAX and Bcl-2 were examined in CCA cells treated with ESD. The elevated ratio of BAX/Bcl-2 confirmed that ESD triggered apoptotic cell death in KKU-213. ESD had a low sensitivity in KKU-100 on account of its KRAS and TP53 mutations. Alteration of gene expression of KRAS and TP53 takes place during cholangiocarcinogenesis leading to a poor prognosis and increased drug resistance in several types of cancer [43–45]. The loss of plasma membrane integrity is one of the characteristics of late apoptosis [46]. Annexin V and PI staining of human CCA cell lines after a treatment with ESD was observed using confocal microscopy. The loss of plasma membrane integrity was found in ESD treated-CCA cells in a dose-dependent manner.
Metabolomics and chemometric approaches were used in the current study to surpass traditional methods of separation, identification and evaluation of crude extracts as it is cost-effective and not as time-consuming [26]. Our results show that each plant extract carried common biological molecules, for example simple sugars and amino acids. However, distinct secondary metabolites were observed amongst the three plant extracts. Lignin, a metabolite from the ESD extract, correlates with the most significant decrease in CCA cell viability across all tested cell lines. In nature, lignins are abundant biopolymers used in the formation of a plant’s cell walls. Phenylpropanoids occupy a diverse family of polyphenols and are synthesized from phenylalanine and tyrosine [47]. Later, cinnamic acid is transformed into three types of lignols including p-coumaryl, coniferyl and sinapyl alcohol, which are the precursors for lignin [48] Acetylation of coniferyl alcohol produces coniferyl acetate, which is converted into eugenol, which in turn has been reported to have an anti-cancer effect through increased apoptosis [49, 50]. In this study, the proposed lignin structure consists of two coniferyl acetate linking with an ether bond, namely a β-O-4 linkage [51]. A previous study has shown that lignin fractions obtained from the conventional fractionation of Acacia nilotica extract had a half inhibitory concentration (IC50) on human breast cancer cell line (MCF-7) lower than 100 μg/mL [52] This is in accordance with our findings with an IC50 on CCA cell lines lower than 63 μg/mL. In addition, water soluble lignin induced apoptosis in lymphoblastic leukemia cells due to morphological changes, such as nuclear condensation and membrane blebbing observed by light microscopy [53]. This finding is in agreement with our results as ESD could induce phosphatidylserine exposure on the cell surface, detected by annexin V staining [53]. To improve anticancer drug delivery, a previous study demonstrated that lignin nanoparticles were developed to control drug release and enhance drug sensitivity against human breast cancer cells [54]. Metabolic profiling revealed greater insights into the effects of polyphenols. However, the metabolic changes and health outcomes remain a challenge [55, 56]. Therefore, the biological mechanisms of lignin underlying the anti-CCA effect should be further elucidated.
Conclusion
Among the plants studied, ESD had the most inhibitory effect on CCA cells, with the key metabolite involved in the reduction of CCA cell viability being lignin. Annexin V and PI were present in KKU-213 cells treated with ESD. In addition, the BAX/Bcl-2 ratio was increased in a dose dependent manner. These findings suggest that KKU-213 was inhibited through apoptosis induction. Further research is, however, needed, especially on the effects of lignin and its metabolites with respect to their anti-proliferative effects.
Supporting information
Acknowledgments
The authors are grateful to Prof. Arunrat Chaveerach, Department of Biology, Faculty of Science, Khon Kaen University, Thailand for the taxonomic identification of the studied herbs and Prof. Vichai Reutrakul for the access to NMR spectroscopy facility at Department of Chemistry, Faculty of Science, Mahidol University and Center of Excellence for Innovation in Chemistry, Thailand.
Data Availability
All relevant data are within the manuscript and its Supporting Information files.
Funding Statement
This work was supported by the research fund for supporting lecturers to admit high potential students to study and research on the expert program, Khon Kaen University (KKU) (grant number 592JH216); the Thailand Research Fund (Grant No. RSA5980013); a grant from Khon Kaen University through the Cholangiocarcinoma Screening Care Program (CASCAP, Grant No. CASCAP-09); and a grant from Khon Kaen University in Thailand to WL.
References
- 1.Khuntikeo N, Chamadol N, Yongvanit P, Loilome W, Namwat N, Sithithaworn P, et al. Cohort profile: cholangiocarcinoma screening and care program (CASCAP). BMC Cancer. 2015;15:459 10.1186/s12885-015-1475-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Haswell-Elkins MR, Sithithaworn P, Mairiang E, Elkins DB, Wongratanacheewin S, Kaewkes S, et al. Immune responsiveness and parasite-specific antibody levels in human hepatobiliary disease associated with Opisthorchis viverrini infection. Clin Exp Immunol. 1991;84(2):213–8. 10.1111/j.1365-2249.1991.tb08151.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Pinlaor S, Sripa B, Ma N, Hiraku Y, Yongvanit P, Wongkham S, et al. Nitrative and oxidative DNA damage in intrahepatic cholangiocarcinoma patients in relation to tumor invasion. World J Gastroenterol. 2005;11(30):4644–9. 10.3748/wjg.v11.i30.4644 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Poomphakwaen K, Promthet S, Kamsa-Ard S, Vatanasapt P, Chaveepojnkamjorn W, Klaewkla J, et al. Risk factors for cholangiocarcinoma in Khon Kaen, Thailand: a nested case-control study. Asian Pac J Cancer Prev. 2009;10(2):251–8. [PubMed] [Google Scholar]
- 5.Yongvanit P, Pinlaor S, Bartsch H. Oxidative and nitrative DNA damage: key events in opisthorchiasis-induced carcinogenesis. Parasitol Int. 2012;61(1):130–5. 10.1016/j.parint.2011.06.011 [DOI] [PubMed] [Google Scholar]
- 6.Anderson CD, Pinson CW, Berlin J, Chari RS. Diagnosis and treatment of cholangiocarcinoma. Oncologist. 2004;9(1):43–57. [DOI] [PubMed] [Google Scholar]
- 7.Butthongkomvong K, Sirachainan E, Jhankumpha S, Kumdang S, Sukhontharot OU. Treatment outcome of palliative chemotherapy in inoperable cholangiocarcinoma in Thailand. Asian Pac J Cancer Prev. 2013;14(6):3565–8. [DOI] [PubMed] [Google Scholar]
- 8.Kerbel RS. Molecular and physiologic mechanisms of drug resistance in cancer: an overview. Cancer Metastasis Rev. 2001;20(1–2):1–2. [DOI] [PubMed] [Google Scholar]
- 9.Semenas J, Allegrucci C, Boorjian SA, Mongan NP, Persson JL. Overcoming drug resistance and treating advanced prostate cancer. Curr Drug Targets. 2012;13(10):1308–23. 10.2174/138945012802429615 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Boeing H, Bechthold A, Bub A, Ellinger S, Haller D, Kroke A, et al. Critical review: vegetables and fruit in the prevention of chronic diseases. Eur J Nutr. 2012;51(6):637–63. 10.1007/s00394-012-0380-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Qader SW, Abdulla MA, Chua LS, Najim N, Zain MM, Hamdan S. Antioxidant, total phenolic content and cytotoxicity evaluation of selected Malaysian plants. Molecules. 2011;16(4):3433–43. 10.3390/molecules16043433 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Singh K, Bhori M, Kasu YA, Bhat G, Marar T. Antioxidants as precision weapons in war against cancer chemotherapy induced toxicity—Exploring the armoury of obscurity. Saudi Pharm J. 2018;26(2):177–90. 10.1016/j.jsps.2017.12.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kankanamalage TN, Dharmadasa RM, Abeysinghe DC, Wijesekara RG. A survey on medicinal materials used in traditional systems of medicine in Sri Lanka. J Ethnopharmacol. 2014;155(1):679–91. 10.1016/j.jep.2014.06.016 [DOI] [PubMed] [Google Scholar]
- 14.Chassagne F, Haddad M, Amiel A, Phakeovilay C, Manithip C, Bourdy G, et al. A metabolomic approach to identify anti-hepatocarcinogenic compounds from plants used traditionally in the treatment of liver diseases. Fitoterapia. 2018;127:226–36. 10.1016/j.fitote.2018.02.021 [DOI] [PubMed] [Google Scholar]
- 15.de Paula Vasconcelos PC, Spessotto DR, Marinho JV, Salvador MJ, Junior AG, Kassuya CA. Mechanisms underlying the diuretic effect of Gomphrena celosioides Mart. (Amaranthaceae). J Ethnopharmacol. 2017;202:85–91. 10.1016/j.jep.2017.03.007 [DOI] [PubMed] [Google Scholar]
- 16.Ratnasooriya WD, Jayakody JR, Premakumara GA, Ediriweera ER. Antioxidant activity of water extract of Scoparia dulcis. Fitoterapia. 2005;76(2):220–2. 10.1016/j.fitote.2004.06.012 [DOI] [PubMed] [Google Scholar]
- 17.Hayashi T, Uchida K, Hayashi K, Niwayama S, Morita N. A cytotoxic flavone from Scoparia dulcis L. Chem Pharm Bull (Tokyo). 1988;36(12):4849–51. [DOI] [PubMed] [Google Scholar]
- 18.Nishino H, Hayashi T, Arisawa M, Satomi Y, Iwashima A. Antitumor-promoting activity of scopadulcic acid B, isolated from the medicinal plant Scoparia dulcis L. Oncology. 1993;50(2):100–3. 10.1159/000227156 [DOI] [PubMed] [Google Scholar]
- 19.Kim HK, Wilson EG, Choi YH, Verpoorte R. Metabolomics: a tool for anticancer lead-finding from natural products. Planta Med. 2010;76(11):1094–102. 10.1055/s-0030-1249898 [DOI] [PubMed] [Google Scholar]
- 20.Nicholson JK, Lindon JC, Holmes E. 'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica. 1999;29(11):1181–9. 10.1080/004982599238047 [DOI] [PubMed] [Google Scholar]
- 21.Verpoorte R, Choi YH, Mustafa NR, Kim HK. Metabolomics: back to basics. Phytochemistry Reviews. 2008;7(3):525–37. [Google Scholar]
- 22.Nakabayashi R, Saito K. Metabolomics for unknown plant metabolites. Anal Bioanal Chem. 2013;405(15):5005–11. 10.1007/s00216-013-6869-2 [DOI] [PubMed] [Google Scholar]
- 23.Wold S, Esbensen K, Geladi P. Principal component analysis. Chemom Intell Lab Syst. 1987;2(1):37–52. [Google Scholar]
- 24.Bylesjö M, Rantalainen M, Cloarec O, Nicholson Jeremy K, Holmes E, Trygg J. OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification. Journal of Chemometrics. 2007;20(8‐10):341–51. [Google Scholar]
- 25.Worley B, Powers R. PCA as a practical indicator of OPLS-DA model reliability. Curr Metabolomics. 2016;4(2):97–103. 10.2174/2213235X04666160613122429 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Graziani V, Scognamiglio M, Belli V, Esposito A, D'Abrosca B, Chambery A, et al. Metabolomic approach for a rapid identification of natural products with cytotoxic activity against human colorectal cancer cells. Sci Rep. 2018;8(1):5309 10.1038/s41598-018-23704-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Benzie IF, Strain JJ. The ferric reducing ability of plasma (FRAP) as a measure of "antioxidant power": the FRAP assay. Anal Biochem. 1996;239(1):70–6. 10.1006/abio.1996.0292 [DOI] [PubMed] [Google Scholar]
- 28.Promraksa B, Daduang J, Chaiyarit P, Tavichakorntrakool R, Khampitak T, Rattanata N, et al. Cytotoxicity of Cratoxylum formosum Subsp. Pruniflorum Gogel extracts in oral cancer cell lines. Asian Pac J Cancer Prev. 2015;16(16):7155–9. [DOI] [PubMed] [Google Scholar]
- 29.Vichai V, Kirtikara K. Sulforhodamine B colorimetric assay for cytotoxicity screening. Nat Protoc. 2006;1(3):1112–6. 10.1038/nprot.2006.179 [DOI] [PubMed] [Google Scholar]
- 30.Franken NA, Rodermond HM, Stap J, Haveman J, van Bree C. Clonogenic assay of cells in vitro. Nat Protoc. 2006;1(5):2315–9. 10.1038/nprot.2006.339 [DOI] [PubMed] [Google Scholar]
- 31.Cloarec O, Dumas ME, Craig A, Barton RH, Trygg J, Hudson J, et al. Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets. Anal Chem. 2005;77(5):1282–9. 10.1021/ac048630x [DOI] [PubMed] [Google Scholar]
- 32.Johnson SR, Lange BM. Open-access metabolomics databases for natural product research: present capabilities and future potential. Front Bioeng Biotechnol. 2015;3:22 10.3389/fbioe.2015.00022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Lundquist K. Proton (1H) NMR spectroscopy In: Lin SY, Dence CW, editors. Methods in Lignin Chemistry. Springer Series in Wood Science: Springer; 1992. [Google Scholar]
- 34.Do QD, Angkawijaya AE, Tran-Nguyen PL, Huynh LH, Soetaredjo FE, Ismadji S, et al. Effect of extraction solvent on total phenol content, total flavonoid content, and antioxidant activity of Limnophila aromatica. J Food Drug Anal. 2014;22(3):296–302. 10.1016/j.jfda.2013.11.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Dudonne S, Vitrac X, Coutiere P, Woillez M, Merillon JM. Comparative study of antioxidant properties and total phenolic content of 30 plant extracts of industrial interest using DPPH, ABTS, FRAP, SOD, and ORAC assays. J Agr Food Chem. 2009;57(5):1768–74. [DOI] [PubMed] [Google Scholar]
- 36.Huang D, Ou B, Prior RL. The chemistry behind antioxidant capacity assays. J Agric Food Chem. 2005;53(6):1841–56. 10.1021/jf030723c [DOI] [PubMed] [Google Scholar]
- 37.Jeong WS, Jun M, Kong AN. Nrf2: a potential molecular target for cancer chemoprevention by natural compounds. Antioxid Redox Signal. 2006;8(1–2):99–106. 10.1089/ars.2006.8.99 [DOI] [PubMed] [Google Scholar]
- 38.Aishwarya V, Sheik AS, Dheeba A, Renuka R. In vitro antioxidant and anticancer activity of Cardiospecrmum halicacabum L. aganinst EAC cell. Int J Pharm Pharm Sci 2014;6:263–8. [Google Scholar]
- 39.Luo J, Li YN, Wang F, Zhang WM, Geng X. S-adenosylmethionine inhibits the growth of cancer cells by reversing the hypomethylation status of c-myc and H-ras in human gastric cancer and colon cancer. Int J Biol Sci. 2010;6(7):784–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Mahmood N, Cheishvili D, Arakelian A, Tanvir I, Khan HA, Pepin AS, et al. Methyl donor S-adenosylmethionine (SAM) supplementation attenuates breast cancer growth, invasion, and metastasis in vivo; therapeutic and chemopreventive applications. Oncotarget. 2018;9(4):5169–83. 10.18632/oncotarget.23704 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Gupta SC, Hevia D, Patchva S, Park B, Koh W, Aggarwal BB. Upsides and downsides of reactive oxygen species for cancer: the roles of reactive oxygen species in tumorigenesis, prevention, and therapy. Antioxid Redox Signal. 2012;16(11):1295–322. 10.1089/ars.2011.4414 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Liang W, Cui J, Zhang K, Xi H, Cai A, Li J, et al. Shikonin induces ROS-based mitochondria-mediated apoptosis in colon cancer. Oncotarget. 2017;8(65):109094–106. 10.18632/oncotarget.22618 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Hientz K, Mohr A, Bhakta-Guha D, Efferth T. The role of p53 in cancer drug resistance and targeted chemotherapy. Oncotarget. 2017;8(5):8921–46. 10.18632/oncotarget.13475 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Misale S, Yaeger R, Hobor S, Scala E, Janakiraman M, Liska D, et al. Emergence of KRAS mutations and acquired resistance to anti-EGFR therapy in colorectal cancer. Nature. 2012;486(7404):532–6. 10.1038/nature11156 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Tangkawattana S, Kaewkes S, Pairojkul C, Tangkawattana P, Sripa B. Mutations of KRAS and TP53 in a minor proportion of Opisthorchis viverrini-associated cholangiocarcinomas in a hamster model. Asian Pac J Cancer Prev. 2008;9(1):101–6. [PubMed] [Google Scholar]
- 46.Zhang Y, Chen X, Gueydan C, Han J. Plasma membrane changes during programmed cell deaths. Cell Res. 2018;28(1):9–21. 10.1038/cr.2017.133 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Vogt T. Phenylpropanoid Biosynthesis. Molecular Plant. 2010;3(1):2–20. 10.1093/mp/ssp106 [DOI] [PubMed] [Google Scholar]
- 48.Ralph J, Lundquist K, Brunow G, Lu F, Kim H, Schatz PF, et al. Lignins: Natural polymers from oxidative coupling of 4-hydroxyphenyl- propanoids. Phytochem Rev. 2004;3(1):29–60. [Google Scholar]
- 49.Al-Sharif I, Remmal A, Aboussekhra A. Eugenol triggers apoptosis in breast cancer cells through E2F1/survivin down-regulation. BMC Cancer. 2013;13:600 10.1186/1471-2407-13-600 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Jaganathan SK, Supriyanto E. Antiproliferative and molecular mechanism of eugenol-induced apoptosis in cancer cells. Molecules. 2012;17(6):6290–304. 10.3390/molecules17066290 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Njiojob CN, Bozell JJ, Long BK, Elder T, Key RE, Hartwig WT. Enantioselective syntheses of lignin models: An efficient synthesis of beta-O-4 dimers and trimers by using the Evans chiral auxiliary. Chemistry. 2016;22(35):12506–17. 10.1002/chem.201601592 [DOI] [PubMed] [Google Scholar]
- 52.Barapatre A, Meena AS, Mekala S, Das A, Jha H. In vitro evaluation of antioxidant and cytotoxic activities of lignin fractions extracted from Acacia nilotica. Int J Biol Macromol. 2016;86:443–53. 10.1016/j.ijbiomac.2016.01.109 [DOI] [PubMed] [Google Scholar]
- 53.Ando H, Ohba H, Sakaki T, Takamine K, Kamino Y, Moriwaki S, et al. Hot-compressed-water decomposed products from bamboo manifest a selective cytotoxicity against acute lymphoblastic leukemia cells. Toxicol In Vitro. 2004;18(6):765–71. 10.1016/j.tiv.2004.03.011 [DOI] [PubMed] [Google Scholar]
- 54.Figueiredo P, Lintinen K, Kiriazis A, Hynninen V, Liu Z, Bauleth-Ramos T, et al. In vitro evaluation of biodegradable lignin-based nanoparticles for drug delivery and enhanced antiproliferation effect in cancer cells. Biomaterials. 2017;121:97–108. 10.1016/j.biomaterials.2016.12.034 [DOI] [PubMed] [Google Scholar]
- 55.Catalan U, Barrubes L, Valls RM, Sola R, Rubio L. In vitro metabolomic approaches to investigating the potential biological effects of phenolic compounds: An update. Genomics Proteomics Bioinformatics. 2017;15(4):236–45. 10.1016/j.gpb.2016.12.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Selma MV, Espín JC, Tomás-Barberán FA. Interaction between phenolics and gut microbiota: role in human health. J Agric Food Chem. 2009;57:6485–501. 10.1021/jf902107d [DOI] [PubMed] [Google Scholar]
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