Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Therapeutic potential of Bacopa monnieri extracts against hepatocellular carcinoma through in-vitro and computational studies

Abstract

Background

Among various cancers, primary liver cancer is the seventh most diagnosed malignancy and is the second most prevalent contributor to cancer-causing deaths. During conventional treatment, the recurrence of disease, low drug inefficacy, and severe side effects are the main limitations. Recently, natural anticancer medicines from the Middle East, Korea, China, Europe, North America, and India have attracted a lot of interest due to their low side effects and better remedial properties. The current study investigated the antioxidative and anticancer effects of ethanolic (BME) and n-hexane (BMH) extracts of B. monnieri (L.) Wettst.

Methods

In the current study, phytochemical profiling was done using gas chromatography-mass spectrometry (GC-MS) analysis. The antioxidant potential was measured using DPPH, nitric oxide, superoxide anion, and hydrogen peroxide assays, while the cell viability and apoptotic effect were measured by MTT, crystal violet, and annexin V/PI protocols, respectively.

Results

Higher concentrations of total phenolic contents (274.92±3.52 mgGAE/g), total flavonoid contents (141.99±4.14 mgQE/g) and tannins (55.49±4.63 mgTAE/g) were observed in BME extract with strong antioxidant potential than BMH extract. Also, BME extract showed higher cytotoxicity with less IC50 value (24.70 μg/mL) and a lower percentage of cell viability, while the same extract exhibited 58.65% apoptosis against HepG2 cells in comparison to cisplatin and BMH extract. Furthermore, Spiro[(tricyclo[6.2.2.0(2,7)]dodeca-5,9-diene)-4,1’-cyclobutane]-11,2’-dione from BME extract showed the lead docking score of -8.8, -8.1 and -7.8 kcal/mol against TGF-βR1, TNF-α, and iNOS, respectively.

Conclusion

In conclusion, the ethanolic extract of B. monnieri has a significant potential for becoming a potent anticancer drug that effectively treats liver damage, including HCC.

Introduction

Liver cancer is the fourth invasive cancer worldwide, accounting for more than 800,000 mortalities per annum [1]. According to the recent estimates, 830,200 deaths and 905700 cases of liver cancer were observed in 2020. The American Cancer Society estimated that diagnosis of 41,210 cases (27,980 in men and 13,230 in women) and 29,380 fatalities (10,380 cases in females and 19,000 in males) found in 2023 [2]. It is also estimated that 1.4 million expected cases with 1.3 million mortalities will be expected in 2040 [3]. The most prevalent forms of primary liver cancer include hepatocellular carcinoma (HCC), followed by intrahepatic cholangiocarcinoma (10–15%) and other liver malignancies [4]. Almost ninety percent of HCCs have recognized underlying etiologies, including non-alcoholic fatty liver disease, severe alcoholism, and chronic viral hepatitis [5]. Prolonged inflammation, oxidative stress, tissue remodeling, genetic changes, and deregulated cellular signaling are thought to be the important mechanisms involved in HCC development and progression [6]. Recently, the primary treatment options for HCC include surgical resection, chemotherapy, radiotherapy, local ablation therapy, and liver transplantation. These conventional therapies are efficient at early stages of hepatocellular carcinoma but are ineffective at advanced stages due to the development of serious adverse effects such as metastasis, frequent recurrence, drug resistance, and many others [7]. Thus, substantial research is required to discover and develop novel anticancer drugs considering the increasing risk of drug-resistant malignancies with fewer side effects [8]. In the past few decades, considerable attention has been given to medicinal plants and herbal extracts containing valuable phytoconstituents with structural diversity and novel therapeutics to inhibit or destroy cancerous cells by overcoming drug resistance during cancer treatment [9]. According to the World Health Organization (WHO), more than eighty percent of the global population opts for these traditional medicinal plant-based treatment options [10]. Medicinal plants possess a wide range of bioactive compounds such as catechins, polyphenols, flavonoids, triterpenoids, alkaloids, glycosides, and a plethora of others, which may reduce cell proliferation due to their anti-angiogenic, anti-mutagenic, antioxidant and anti-cancer properties [11]. Moreover, plant-derived phytocompounds offer better safety and efficacy because of their distinct molecular characteristics and diverse structure [12].

In medicinal plants, GC-MS analysis is an indispensable technique for identifying therapeutically important compounds [13]. In this context, molecular docking is an economical and efficient method for testing and developing natural medicines. This method provides information on the interaction between natural ligands and receptors, which may be used to predict how the drug will attach to target proteins to elucidate the underlying biochemical processes that are disrupted in pathological conditions [14]. Over many years, the concept of inflammation-induced cancer has been recognized, and numerous research has proven that pro-inflammatory cytokines in tumor microenvironment influence every stage of tumor development and treatment efficacy[15]. These inflammatory cytokines are considered a promising target in several cancer treatments. Among various cytokines, TNF-α and TGF-β are essential in playing different functions at various stages of tumor development [16]. TNF-α is an important inflammation-causing cytokine, mostly produced through macrophages, although it is also secreted by various malignant cells that promote tumor metastasis, migration, proliferation and invasion through activating TNF-α-induced PKCα-, NF-кB, and AP-1signaling pathway [17]. Previous research has shown that serum levels of TNF-α and other pro-inflammatory cytokines were considerably greater in HCC patients compared to healthy individuals; hence, elevated TNF-α levels were linked to HCC progression and development [18]. Notably, TGF-β has a dual function in cancer development. At early stages, it inhibits cell proliferation by initiating apoptosis in cancer cells. While at later stages, it promoted tumor growth by inducing angiogenesis, immune suppression, and epithelial-mesenchymal transition (EMT) in hepatocellular carcinoma by activating the TGF-β/Smad pathway [19]. A high-throughput proteomics analysis of early HCC tissue samples demonstrated that invasive HCC tissues were found to have a significant expression of TGF-β levels [20].

Furthermore, nitric oxide is generated by endothelial NOS (eNOS), neuronal NOS (nNOS) and inducible NOS(iNOS) and is involved in the initiation and development of cancer [21]. Excessive or prolonged NO synthesis has been linked with various characteristics of tumor formation, such as genomic instability, angiogenesis, chemoresistance, and metastasis [22]. Elevated levels of NO (1200 μmol/L) were observed in HCC patients before undergoing radiofrequency thermal ablation than control (22 μmol/L).

Bacopa monnieri, locally known as Brahmi, belongs to the Scrophulariaceae family and is a small creeping herb that grows in moist areas throughout Europe, Australia, India, Asia, Africa, and South and North America [23]. B. monnieri is an excellent reservoir of bioactive compounds, including bacoside A & B, triterpenoid saponins, nicotine, betulinic acid, stigmasterol, bacopasides I & II, herpestine, D-mannitol, cucurbitacin, and several others are extensively investigated for their antioxidant, nootropic, bactericidal, anti-inflammatory, analgesic and anticancer properties [24]. Extensive research and clinical studies support these conventional pharmacological assertions. Traditionally, it is widely used to treat a variety of oxidative stress-related health disorders, such as neurological disorders, malignancies, diabetes, and heart complications [25]. Different B. monneiri extracts and their valuable phytochemicals showed promising anti-tumor effects by suppressing proliferation, stimulating apoptosis, and reducing migration and invasion in several human cancer cell lines, including MDA-MB-231 & MCF-7 (breast cancer), HT-29 (colon cancer), DU-145 (prostate cancer) and Cal33 & FaDu (oral cancer)[26, 27]. In another study, it was observed that bacoside A showed an anti-metatastic effect in Wistar albino rats with DEN-induced HCC by downregulating the matrix metalloproteinases (MMP-2 and MMP-9) and lipid peroxidation along with increased antioxidant enzymes levels [28]. Recently, no study has been available in elucidating the therapeutic potential of B. monnieri extracts to evaluate the underlying mechanism of TNF-α, TGF-β, and iNOS having a well-established role in HCC development.

In our study, we determined the antioxidative, antiproliferative, and apoptotic activities of B. monnieri extracts using various in-vitro methods. This is the first-hand report to pinpoint the active anti-HCC ingredients of B. monnieri after targeting TNF-α, TGF-β, and iNOS proteins through molecular docking. This study will provide a solid scientific reason for the use of natural alternatives for the HCC treatment, but further research is required to verify the therapeutics of selected phytoconstituents in clinical and in-vivo trials.

Materials and methods

Reagents

All analytical grade chemicals and solvents were obtained from different companies.

Plant extraction

The whole plant of B. monnieri (L.) Wettst was purchased from the local herbal market in Lahore, Pakistan. At Government College University (Lahore, Pakistan), a taxonomist identified and gave a voucher number of GC. Herb.Bot-3781 to the plant. It was submitted to the Government College University Herbarium Bank. The plant extracts were prepared according to the protocol given by Al-Nuri [29]. The leaves were dried under shade and were ground into powder by a laboratory grinding mill. The plant was macerated in ethanol (90%, Sigma-Aldrich, USA) and n-hexane (95%, Sigma-Aldrich, USA) solvents for two weeks. After maceration, a rotary evaporator was used to concentrate the filtered solution at 40 ºC (Heidolph Hei-Vap, Germany). This concentrated mixture was achieved with lyophilizer, and a percentage yield of 11.55% of ethanolic and 7.35% of n-hexane extracts of B. monnieri was obtained.

Quantitative estimation of phytochemicals

The concentration of total flavonoids was measured through a colorimetric aluminum chloride assay given by Phuyal and colleagues [30]. The absorbances were taken at 510 nm. The quantity of TFCs (total flavonoids contents) was estimated as mg equivalents of quercetin/g of dry extract using the standard curve obtained from the known concentrations of standard reagent. The concentration of TPCs (total phenolic contents) was measured by the Folin-Ciocalteu procedure [31]. TPCs were noted as mg GAE/g of dry extract). Tannins concentration was estimated following the Folin-Ciocalteu method [32]. Concentrations were estimated as mgTAE/g of dried weight of plant extracts.

GC-MS profiling of phytocompounds

For GC-MS analysis, lyophilized samples of B. monnieri were sent to the ICCBS center (International Centre for Chemical and Biological Sciences) at Karachi University to identify different phytocompounds [33]. The instrument utilized was a TQQQ Agilent (Agilent Technologies, Santa Clara, USA) with a QP-5000 MS (mass spectrometer; quadruple) and a polydimethylsiloxane-clad capillary GC column. As a mobile phase, 99.99% pure helium was used to flow constantly at an average of 1 mL/min. At 250 ºC, the temperature of the injector was maintained with a 1 L injection volume having a 10:1 split ratio. The temperature in the oven was initially operated for 3 minutes at 50 °C, then increased by 7 °C per minute to 280 °C over 25 minutes before being raised to 300 °C (final temperature). For GC–MS spectrum detection, samples were conducted at 40–600 m/z with a scanning period of 0.2 seconds and 70 electron volts of ionization energy. The phytochemicals were detected by comparing the peak height, peak area %, retention time, and the diverse patterns of the mass spectrum of all phytochemicals found in the sample extracts with the spectral database of already available reference compounds present in the NIST library (National Institute of Standards and Technology).

Estimation of antioxidant activities

DPPH scavenging assay.

The antioxidant ability of plant extracts in terms of scavenging free radicals was evaluated in a procedure given by Braca [34]. Firstly, a fresh DPPH stock solution was made with 0.004% w/v in 95 percent methanol. To make stock solutions, 5 mg of ascorbic acid (standard reagent) and plant extracts were mixed in their mother solvents. Different concentrations (50, 100, 150, 200, and 250 μg/mL) of plant extracts, along with reference reagent (ascorbic acid), were used to prepare by sequential dilutions. Each sample (0.1 mL) was combined with DPPH solution (3 mL) and stored in a pitch-dark area for thirty minutes after thoroughly shaking. A control was also prepared using the same reagents but without plant extracts. The optical density of extracts and ascorbic acid was recorded spectrophotometrically with the wavelength of 517 nm against blank. The percent inhibition of the free radicals was calculated by the following equation:

Nitric oxide scavenging assay.

Nitric oxide is formed by Na2[Fe(CN)5NO] (sodium nitroprusside), and their scavenging potential was evaluated using the method given by Kamble [35]. In the reaction mixture, 1.0 mL of PBS (phosphate buffer saline; pH 7.4), 0.5 mL of sodium nitroprusside (10 mM), 1.0 mL of phosphate buffer (pH 7.4), and 1.0 mL of each sample at varying concentrations ranging from 50 to 250 µg/mL, was kept for 4 hours at ambient temperature. A control was prepared using the aforementioned reagents but without plant extract. The mixture was undergoing centrifugation for 5 minutes at 3000 rpm. Afterwards, 0.5 mL of Griess reagent was mixed with 0.5 mL of supernatant, and results were measured at 546 nm. Ascorbic acid was used as a reference reagent. The reduction percentage of RNS was estimated through the given formula:

Superoxide scavenging assay.

The antioxidant potential of crude extracts to inhibit superoxide anion radicals was evaluated by a previously described procedure [36]. The reaction mixture contains 1.0 mL of both nitroblue tetrazolium [(1M of NBT in PBS (100 mM; pH 7.4) and NADH solution (1M of NADH in PBS (100 mM; pH 7.4)], 1.0 mL of and 0.1 mL of each plant extract or standard reagent (both have concentrations ranging between 50–250 μg/mL). Additionally, 0.1 mL of phenazine methosulphate solution started the reaction and was kept at 20 °C for five minutes. The readings of each sample were taken at 560 nm compared to blank. A control was made with the same reagents except any plant extracts. The following equation was used to determine the scavenging capacity of plant samples:

Hydrogen peroxide scavenging assay.

The potential of plant extracts to scavenge hydrogen peroxide radicals was determined using a previously given method [37]. A fresh solution of hydrogen peroxide (2.0 mM) was prepared with the help of phosphate buffer saline (pH 7.4; 50 mM). Briefly, 0.1 mL of sample (at varying concentrations of 50–250 μg/mL) was added into 0.3 mL of PBS and 0.6 mL of H2O2 solution and left the mixture for ten minutes at 37 °C. The absorbance of all testing samples and ascorbic acid was measured at 230 nm against blank. The scavenging of hydrogen peroxide was calculated by the following equation:

Measurement of cytotoxicity.

Cell line propagation.

The human liver cancer cell line (HepG2) was obtained from cell line BioBank present at the IMBB (Institute of Molecular Biology and Biotechnology), The University of Lahore, Pakistan. The HepG2 cell line was cultured in DMEM (Dulbecco’s Minimum Essential Medium) that was supplemented with antibiotic (streptomycin/penicillin) and fetal bovine serum (10% FBS). The cells were cultured in a T-75 cell culture flask and incubated at 37 ºC with 5% CO2 and 95% air in an incubator (BioTek, Korea). The media was changed every 3–4 days to ensure proper cell growth. The cells were re-cultured after every four to five days [38].

Treatment Groups.

Based on treatments, HepG2 cells were segregated into four distinct groups. As a negative control, cells that received DMEM medium were designated as the untreated cells (UT). The other two groups were treated with different BME and BMH extract doses. As a positive control, cisplatin (a commonly used FDA-approved anticancer drug) was given at varying concentrations to the final (fourth) group for comparison.

Cytotoxicity assay.

The cytotoxic activity of plant extracts was estimated via the standard protocol of MTT assay [39]. HepG2 cells (1x104 cells/well) were seeded in a 96-well culture plate. After incubation of 24 hours, cells received increasing concentrations (10, 25, 50 and 100 μg/mL) of the plant extracts and cisplatin (positive control) [40], while untreated cells served as negative control received only media. These cells were incubated in a 5% CO2 incubator at 37 °C for the next twenty-four hours. After incubation, cells were rinsed using 200 µL of PBS following the removal of media. Then, MTT reagent (25 μL) was introduced in each well and left at 37 °C for 3 hours. Then, the formazan crystals were dissolved in DMSO after removing MTT dye. The results were taken at 570 nm using a microplate spectrophotommeter (BioRad, Singapore). Every experiment was conducted in triplicates. The non-linear regression analysis was utilized to calculate the IC50 values using a graph pad prism (version 5.03).

Morphological examination.

To observe the therapeutic impact of BME and BMH extracts on the cancer cell morphologies, 1x104 cells were cultivated in a 96-well flat bottom plate. The cultured cells were exposed to different doses (10 μg/mL, 25 μg/mL, 50 μg/mL and 100 μg/mL) of both plant extracts and cisplatin for 24 hrs, and the images of morphological changes were observed using a microscope [35].

Determination of viable cells using crystal violet assay.

The percentages of adherent cells, or live HepG2 cells, were measured by crystal violet staining [41]. After the cultivated cells were seeded in a 96-well plate, they were treated for 24 hours with various IC50 concentrations of crude extracts and cisplatin, which were calculated using the MTT assay. Following treatment, the medium was removed using PBS solution, and 0.05 mL of crystal violet dye (0.5%) was introduced in each well for staining live cells. These plates were left at room temperature for 10 minutes. Then, the excess stain was washed out with PBS. After drying overnight, the extra stain was removed from the treated cells by applying 50 µL of ethanoic acid (10%). The absorbances were estimated at 600 nm. The percent HepG2 cell viability was estimated after the administration of plant extracts and cisplatin in the following way:

Evaluation of apoptosis using annexin V/PI Assay.

To estimate the apoptosis effect induced by the extracts in cancer cells, the apoptotic activity was measured following the kit manufacturer’s instructions (annexin V/PI) (Merck-Millipore; MCH100105) [42]. HepG2 cells (5x105 cells per well) were grown on 12-well plates and then exposed to respective IC50 concentrations of cisplatin and extracts for treatment. The cancer cells were centrifuged for 5 mins at 1000 rpm, washed with PBS, and put in 1x binding buffer (100 µL). Then, propidium iodide (10 µL) and annexin V-FITC binding (5 µL) were used to stain the suspended cells and left at room temperature for 15 minutes. The automated cell Muse Analyzer (Merck-Millipore) was used to measure the outcomes of cell death induction.

Computational study

Selection of hepatotoxic target proteins.

Three-dimensional TNF-α, TGF-βR1 and iNOS structures, having the PDB IDs 2AZ5 (only chain A), 1RW8 (only chain A), and 4NOS, respectively, were retrieved from Protein Data Bank. These proteins were selected as a molecular target for this investigation because these are implicated in many processes of liver disorders that, if not treated at an early stage, may develop into hepatocellular carcinoma. Targeting these proteins may reduce the severity of various advanced hepatic complications.

Proteins preparation.

The selected target proteins were prepared by eliminating undesired co-crystallized ligands and water molecules before the addition of partial charges allocated to atoms, Gasteiger charges, Kollman charges and polar hydrogen using Discovery Studio [43]. The prediction of active sites is to determine the precise functional region of the protein to comprehend its activity. The active amino acid residues in binding pockets of target receptors were inferred using the literature survey or using PYMOL [44]. Specified dimensions of different grid boxes for target macromolecules are depicted in Table 1.

thumbnail
Table 1. The dimensions of the grid box for different selected target proteins are given as follows.

https://doi.org/10.1371/journal.pone.0321445.t001

Preparation of ligands.

Different phytocompounds were screened in both extracts of B. monnieri using GC-MS analysis to investigate the potent hepatoprotective drug candidates. The structures of identified compounds were downloaded in SDF files from the PubChem or ChemSpider databases and saved in a pdb file. The ligands were optimized through energy minimization and changed to a Pdbqt file by utilizing the AutoDock Vina program for further analysis [45].

Selection criteria for bioactive phytocompounds.

The drug-likeness of identified phytochemicals was predicted using SwissADME software. The drug-likeness of a phytoconstituent depends on following Lipinski’s rules. SwissADME (https://www.SwissADME.ch) is a tool to investigate different parameters of Lipinski’s rules [46]. PkCSM (https://biosig.lab.uq.edu.au/pkcsm/prediction) and admetSAR (http://lmmd.ecust.edu.cn/) are free online software that was used for various toxicity parameters assessment. Hepatotoxicity was assessed using the pkCSM program [47], whereas acute oral toxicity, carcinogenicity mutagenicity, and acute oral toxicity variables were determined utilizing the admetSAR tool [48]. Compounds were selected based on drug-like properties for molecular docking to identify a safe drug. To predict these parameters, the software was uploaded with the canonical SMILES of the ligands. This computational study excluded the natural chemicals that had one or more violations of Lipinski’s rules or displayed a positive sign for any toxicity parameter. The filtered compounds were further subjected to molecular docking against selected target proteins.

Molecular docking.

The drug-like ligands and proteins were prepared using the AutoDock vina tool (version 1.5.7), which reduced energy and set a grid box to cover all amino acids in the active site defined by co-crystallization. Both molecules (proteins and ligands) were converted and saved in a pdbqt format [49]. Vina used a global optimization algorithm to accomplish docking, taking information from both input files (proteins and ligands) and specified dimensions listed in the configuration file of the grid box. After connecting with the target receptors, nine different conformations were generated for each ligand; the best binding affinities were used to select the ideal position [50]. Macromolecules were taken as rigid entities during the docking process, and different conformations were produced by maintaining the flexibility of ligands. The lowest favorable binding energy establishes the stable association between the target receptor and ligand, having an RMSD value <1Å (Angstrom), which is defined as its lowest favorable binding energy. The lowest binding affinities and the molecular interactions of phytocompounds with active site residues of target proteins were analyzed in detail compared to standard drug [51]. To form a stable docked complex, the target macromolecule was aligned with a stable conformer that was selected based on best binding affinities [52]. PYMOL (version 2.5.4) was utilized to analyze the post-dock outcomes by further examining and visualizing the docked complexes. The 2-dimensional and 3-dimensional images were captured by BIOVIA Discovery Studio (client 2021) [53].

Analysis of interactions.

The ligand-protein interactions are involved in forming stable docked complexes and are measured using a web server protein-ligand profiler [54].

Prediction of pharmacokinetic properties.

Usually, the selected drug candidates were subjected to the ADMET analysis (absorption, distribution, metabolism, elimination, and toxicity) using different online software to predict their safety in animal and human systems. The initial toxicological study of the expected candidate is a fundamental step in designing and developing a safe and effective medicine before undergoing a pharmacological trial [55]. We used the PkCSM tool for early-stage toxicological and pharmacokinetic profiling of selected plant-based chemicals [56].

Statistical analysis.

All the data was evaluated by one-way ANOVA (analysis of variances) with post-hoc Tukey’s test for comparison between treatment groups. For data analysis and IC50 calculations, GraphPad Prism (version 5.03) and Statistix (version 8.0) software were used for data analysis. Results were given as mean ± Standard deviation of three independent experiments (n=3). It is observed that analysis was statistically significant at p-value < 0.05. Before performing ANOVA, homogeneity of variance and normal distribution of data were evaluated using Bartlett’s and Shapiro-Wilks tests.

Ethical statement

It has been confirmed that the experimental data collection complied with relevant institutional, national, and international guidelines and legislation with appropriate permissions from authorities of the Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore 54300, Pakistan.

Results

Quantitative phytochemical estimation

The concentration of important pharmacologically active agents in each plant extract was also measured quantitatively (Table 2). For all crude extracts, TFCs (total flavonoid contents) were calculated utilizing the linear regression equation taken from the standard curve of quercetin (y = 0.0023 x - 0.1754, R2 = 0.9904). The values of tannins and TPCs (total phenolic contents) in the experimental samples were determined by the tannic acid calibration curve equation (y = 0.0012x + 0.0644, R2 = 0.9855) and the standard curve equation of gallic acid (y = 0.0026x + 0.5142, R2 = 0.9976), respectively. In general, BME extract exhibited significantly higher contents of flavonoids, tannins, and phenols than BMH extract and has made an important contribution to their biological activities.

thumbnail
Table 2. Quantitative evaluation of the phytochemicals screening of both crude extracts.

https://doi.org/10.1371/journal.pone.0321445.t002

GC-MS investigation

GC-MS analysis detected different types and concentrations of natural compounds in both extracts of B. monnieri. These identified compounds are given in Fig 1. The secondary metabolites present in both extracts of B. monnieri belong to important classes of therapeutically important secondary metabolites such as aromatic hydrocarbons, aliphatic hydrocarbons, fatty acid esters, cholesterol, steroids, terpenoids, phytosterol, vitamins, sesquiterpene and phenolic compounds (Table 3). Most of these compounds were considered medicinally active due to their anti-inflammatory, antioxidative, and anti-tumor attributes.

thumbnail
Fig 1. GCMS chromatograms of B. monnieri extracts.

Different solvents have varying polarities that are depicted with different peak locations and peak lengths in the chromatogram. The solubility of compounds in different solvents also affects their elution times. BME extract (A) identified a diverse array of polar compounds with higher peak lengths and earlier peak locations than BMH extract (B).

https://doi.org/10.1371/journal.pone.0321445.g001

thumbnail
Table 3. GC-MS profiling of both extracts of B. monnieri.

https://doi.org/10.1371/journal.pone.0321445.t003

DPPH scavenging assay.

Percentage free radical inhibition for the plant samples and standard antioxidants was calculated using DPPH antioxidant assay. The DPPH scavenging potential of B. monnieri extracts was observed to be statistically significant (p-value < 0.05) in a concentration-reliant manner (Fig 2A). In Table 4, BME extract showed the best DPPH radical scavenging activity with minimum IC50 concentration (26.84 μg/mL) and a higher percentage of free radicals inhibitions, while the weaker scavenging percentage was noticed in BMH extract with the higher IC50 concentration of 85.63 μg/mL. Ascorbic acid showed maximum inhibition of free radicals (IC50: 13.28 μg/mL) compared to plant extracts. The antiradical potential of plant extracts was found to decrease in the following order: ASA>BME>BMH.

thumbnail
Fig 2. Antioxidant activities of B. monnieri extracts (A) DPPH assay (B) Nitric oxide assay (C) Superoxide anion assay (D) H2O2 assay.

One-way ANOVA following Tukey’s test was used to analyze the data and found statistically significant at p-value < 0.05. The same letters indicated that the difference was not statistically significant, while different lower-case letters demonstrated statistically significant differences across groups. All experiments were conducted in triplicate, and expressed as mean±SD.

https://doi.org/10.1371/journal.pone.0321445.g002

thumbnail
Table 4. The antioxidant capacity of both extracts and ascorbic acid.

https://doi.org/10.1371/journal.pone.0321445.t004

Nitric oxide scavenging assay.

Each plant extract significantly (p-value < 0.05) increased the neutralization of nitric oxide radical with increasing concentrations, as given in Fig 2B. Among both extracts, the BME extract exhibited better scavenging of nitric oxide with an IC50 concentration of 46.04 μg/mL in comparison to BMH extract (IC50 value: 104.86 μg/mL). The higher inhibiting percentage of oxidant was observed in the case of ascorbic acid (IC50 value: 41.16 μg/mL). The decreasing antioxidant potential with increasing IC50 values was observed in the following order: ASA<BME<BMH (Table 4).

Superoxide scavenging assay

Both B. monnieri extracts showed scavenging of superoxide anions in a concentration-dependent manner (50, 100, 150, 200 and 250 μg/mL) as depicted in Fig 2C. The antioxidant activity of B. monnieri extracts was observed to decrease in the following order: ASA>BME>BMH (Table 4; Fig 2C). BME extract showed stronger superoxide anion scavenging activity (IC50: 60.95 μg/mL) than BMH extract with an IC50 concentration of 135.44 μg/mL. These extracts showed modest antioxidant activity (p-value<0.05) when compared to ascorbic acid (IC50: 47.33 μg/mL). Despite this, both extracts act as strong superoxide anion scavengers to neutralize oxidative stress.

Hydrogen peroxide scavenging assay

The antioxidant potential of plant extracts and standard reagent was found to be higher with increasing concentrations (Fig 2D). Higher percentages of free radical scavenging were observed in BME extract (IC50: 78.08 μg/mL) compared to BMH extract (IC50: 128.21 μg/mL). Ascorbic acid served as a standard and showed higher antioxidant potential (p-value < 0.05) with an IC50 value of 50.83 μg/mL compared to both extracts. The decreasing percentage of quenching H2O2 radicals with increasing IC50 values was observed in the following order: ASA>BME>BMH.

In vitro cytotoxic study

Determination of cytotoxicity by MTT assay.

The cytotoxicity of plant extracts in terms of IC50 concentrations was evaluated using an MTT assay against the HepG2 cells. The experiment was done with various concentrations of each extract and cisplatin, which served as the reference drug for comparison. The findings showed that increasing the concentration of both extracts and cisplatin causes higher cytotoxicity by reducing the number of viable cells compared to untreated cells (Fig 3). With an IC50 value of 24.70 µg/mL, BME extract was shown to be more cytotoxic than BMH extract (41.47 μg/mL), as it significantly reduced the proliferation of malignant cells. Furthermore, cisplatin proved less cytotoxic (IC50 value: 25.83 μg/mL) toward cancer cells as compared to BME extract but more active than BMH extract. The IC50 values (fifty percent inhibition of cancer cells) of all samples are presented in Table 5. The cytotoxicity of testing samples was increased in HepG2 cells with decreasing IC50 values in the following order: BMH>Cisplatin>BME.

thumbnail
Fig 3. The cytotoxic potential of HepG2 cells treated with plant extracts and cisplatin.

(A) HepG2-cells treated with BME extract (B) HepG2-cells treated with BMH extract (C) HepG2-cells treated with cisplatin. Data from triplicate experiments was expressed as mean±SD. One-way ANOVA analysis with Tukey’s tests for multiple comparisons (p-value < 0.05) was performed and significant differences between treatment groups were represented by different lowercase letters. UT: untreated cells.

https://doi.org/10.1371/journal.pone.0321445.g003

thumbnail
Table 5. The IC50 values of B. monnieri extracts against the HepG2 cell line.

https://doi.org/10.1371/journal.pone.0321445.t005

Morphological investigation.

Alterations in the morphology of HepG2 cells following administration of extracts of B. monnieri are depicted in Fig 4. Neoplastic cells were observed to change their shape, structure, and size in a dose-reliant manner. At doses of 10, 25, 50, and 100 µg/mL, BME and cisplatin sharply reduced the viability of HepG2 cells along with prominent degenerated cell morphologies. While on administration of BMH extract, any prominent alterations in the shape of viable cells were observed at higher concentrations (50 and 100 µg/mL) when compared to untreated cells.

thumbnail
Fig 4. Morphological examination of HepG2 cells on administration of plant extracts and cisplatin.

At doses of 25, 50, and 100 µg/mL, BME and cisplatin-induced remarkable morphological changes in cancer cells, whereas BMH extract started the induction of notable morphological changes at 50 µg/mL. BME: ethanolic extract of B. monnieri; BMH: B. monnieri n- hexane extract of B. monnieri; UT: untreated cells. The images were taken at 50× magnifying power using a Floid cell imaging station.

https://doi.org/10.1371/journal.pone.0321445.g004

Estimation of cell viability by crystal violet assay.

Crystal violet assay was used to determine the percentage cell viability of HepG2 cells. Following the treatment with varying IC50 concentrations of cisplatin and B. monnieri extracts, HepG2 cells were shown to have a higher level of apoptotic activity with the lower percentages of live cells in comparison to the untreated cells. A very small percentage of dead cells were seen in untreated HepG2 cells compared to treated groups (Fig 5). In short, BME extract was found to have a higher inhibitory potential on the multiplication of HepG2 cells with a lower viability percentage compared to BMH extract and cisplatin.

thumbnail
Fig 5. Assessment of the percentage of viable cells via the crystal violet assay.

Data from experiments were given as mean±SD (n=3) and considered statistically significant at a p-value less than 0.05. Different alphabets showed a significant difference between the treatment groups, and these results were obtained by performing one-way ANOVA with Tukey’s post-hoc test. UT: untreated; BME: B. monnieri ethanol extract-treated HepG2 cells; BMH: B. monnieri n-hexane extract-treated HepG2 cells; Cisplatin served as a positive control.

https://doi.org/10.1371/journal.pone.0321445.g005

Muse analysis via Annexin V/PI.

Annexin V-FITC/PI kit was used to evaluate the apoptotic ability of plant extracts on HepG2 cells. Following treatment with extracts and cisplatin, the percentage of apoptotic induction in HepG2 cells is depicted in Fig 6. In BME-treated HepG2 cells, the higher percentage of apoptosis was 58.65% compared to its BMH extract (48.45%). This may be due to the presence of the higher concentrations of phytochemicals with anticancer potential. The apoptotic percentage of HepG2 cells treated with cisplatin was shown to be 58.95%.

thumbnail
Fig 6. The apoptotic activity of both plants extracts against HepG2 cells.

BME: B. monnieri ethanol extract; BMH: B. monnieri hexane extract; UT: untreated cells.

https://doi.org/10.1371/journal.pone.0321445.g006

In comparison to untreated cells, all the treatment groups mostly showed an excessive amount of dead cells in their late apoptotic profiles. Following the incubating period, 1.15% of early apoptosis and 3.75% of late apoptosis were observed.

Computational analysis

Selected drug-like compounds.

The phytoconstituents showed at least one violation of Lipinski’s guidelines and a positive result for any of the selected toxicological parameters was removed from the in-silico analysis.

Overall, only eight phytocompounds from both B. monnieri extracts were filtered following Lipinski’s rules and, without exhibiting any kind of toxicity, are listed in Table 6. Molecular docking was performed to assess the anticancer potential of these selected phytocompounds.

thumbnail
Table 6. Drug-like compounds selected from medicinal plants following Lipinski’s parameters with satisfying toxicity criteria are given below.

https://doi.org/10.1371/journal.pone.0321445.t006

Molecular docking analysis.

Among selected compounds of B. monnieri, Spiro[(tricyclo[6.2.2.0(2,7)]dodeca-5,9- diene)-4,1’-cyclobutane]-11,2’-dione, 1,3,3,5,12,12-hexamethyl (compound A) screened from ethanol extract, followed by caryophyllene oxide (compound B) taken from n-hexane extract exhibited best docking score against anticancer targets as compared to the sorafenib. Selected drug-like compounds with binding affinities (kcal/mol) are shown in Table 7. Among the best-hits of B. monnieri, compound A showed the best binding affinities of −8.1, −8.8, and −7.8 against TGF-βR1, TNF-α, and iNOS as compared to sorafenib. Similarly, compound B exhibited binding affinities of −7.0 kcal/mol for TNF-α, −7.2 kcal/mol for TGF-βR1, and −7.8 kcal/mol for iNOS. This means that both extracts have competent lead compounds for the effective treatment of HCC. The 2-D and 3-D images of top-scorer docked complexes and their molecular interactions are given in Figs. 7 and 8. Overall, the BME extract and its active phytochemicals (compound A) with a multi-targeted approach exhibited higher cytotoxic and antioxidative potential by targeting cancer-causing proteins (TNF-α, TGF-βR1 and iNOS) having established role in initiation and progression of HCC. This may be due to the presence of higher concentrations of total flavonoids, phenols and tannins as observed in BME extract than in BMH extract.

thumbnail
Table 7. Binding affinities of drug-like phytoconstituents selected from both extracts of B. monnieri.

https://doi.org/10.1371/journal.pone.0321445.t007

thumbnail
Fig 7. 2-D and 3-D images of docked complexes of Spiro[(tricyclo[6.2.2.0(2,7)]dodeca-5,9- diene)-4,1’-cyclobutane]-11,2’-dione against TNF-α (A & D), TGF-βR1 (B &E) and iNOS (C & F).

https://doi.org/10.1371/journal.pone.0321445.g007

thumbnail
Fig 8. 2-D and 3-D images of docked complexes of Caryophyllene oxide against TNF-α (A & D), TGF-βR1 (B & E) and iNOS (C & F).

https://doi.org/10.1371/journal.pone.0321445.g008

Molecular interactions of best-hit compounds from B. monnieri extracts.

After molecular docking, the lead compounds with high binding affinities with target proteins were selected. The interacting amino acids and their bond lengths implicated in the formation of hydrophobic and hydrogen bonds of top-scorer phytochemicals from both extracts are shown in Table 8, Figs 7 and 8. In the flexible environment of protein, hydrogen and hydrophobic interactions are important to establish a stable binding of energetically favorable phytocompounds, which is an important step in identifying the drug lead with improved efficacy. Compound A from the BME extract and compound B from the BMH extract were found to have higher binding affinities towards TNF-α, TGF-βR1, and iNOS. The conformer A formed hydrogen bonds involving the amino acids, including Tyr 151 in TNF-α, Lys 232 in TGF-βR1, and Cys200 in iNOS.

thumbnail
Table 8. Stable molecular interactions of top-scorer compounds with active site residues of target proteins.

https://doi.org/10.1371/journal.pone.0321445.t008

Furthermore, the same conformer established hydrophobic interactions with different amino acids: Tyr59, Tyr199 of TNF-α, Lys213, Val219, Lys232, Leu340, Ala350, and Asp351 of TGF-βR1 while Phe369 and Trp463 of iNOS. Moreover, compound B only formed hydrophobic interactions with selected target proteins to show their bioactivity. While this phytocompound established several hydrophobic interactions with amino acids of respective target proteins, such as Leu57, Tyr59, and Tyr119 residues of TNF-α, Lys213, Val219, Leu260 and Leu340 of TGF-βR1, and Leu125, Ala197, Arg199, Phe369, Phe488, Tyr 489 and Tyr491of iNOS. Overall, compound A of the BME extract exhibited a strong bioactivity with high docking scores compared to other extract. It has been found that lead compounds from BME extract may have the potential to be used in anti-HCC drug development.

ADMET analysis of drug candidate.

The pharmacokinetic prediction of the best-hit natural chemicals, including compound A from BME extract and compound B from BMH extract, is depicted in Table 9 as computed by pKCSM. According to a review of the relevant literature, the Ames test is crucial for a compound of interest, and its positive result indicates its mutagenicity and is unable to be further processed as a drug. Both compounds were non-mutagenic. The better aqueous solubility (-4.958), absorption in the human intestine (98.074), and Caco-2 permeability (1.52) were shown by compound A than compound B. Higher gastrointestinal absorption was shown by each compound, which is important for oral drug absorption into the human body. It was also anticipated that both drug-like compounds would be able to cross the blood-brain barrier and aid in the management of neurological conditions. Both compounds metabolize CYP2D6, CYP3A4, and CYP1A2 during drug metabolism. Similarly, CYP2C19 and CYP2C9 were inhibited by both phytocompounds. No substance was predicted to be an inhibitor of herG-I and herG-II, and it was not involved in cardiotoxicity and hepatotoxicity. Only compound A is positive for the OCT2-substrate and readily secreted by the kidney. Both phytochemicals had varying total clearance values, with compound A predicted with the value of 0.905 and efficiently eliminated from the body as compared to other compounds (0.445). The maximum tolerated dose observed in humans is -0.488 in compound A and 0.148 in compound B. This means that compound B is well-tolerated in humans before inducing any side effects than compound 1. Moreover, compound B exhibited slightly more oral acute rat toxicity with 1.548, and oral chronic rat toxicity with 1.224 as compared to compound A. Compound A proved slightly more toxic than compound B with low values of 0.743 and 0.574 for T. pyriformis and minnow toxicity. Overall, to enhance the biological activity and stability of phytochemicals as a potential drug, slight modifications in their native structures are necessary.

thumbnail
Table 9. Pharmacokinetic (ADMET) investigation of top-scorer phytochemicals using the PkCSM tool.

https://doi.org/10.1371/journal.pone.0321445.t009

Discussion

Due to several contributing variables, including genetics and epigenetics, as well as a dearth of effective treatments, liver cancer has emerged as among the main reasons for cancer mortalities globally [57]. Chemotherapeutic drugs are efficacious for hepatocellular carcinoma (HCC) treatment, but their high toxicity, significant side effects, and long-term drug resistance limit clinical outcomes along with increasing death rates [58]. The resurgence in popularity and dependence on medicinal plants as alternative medicines aims to overcome the deficiencies linked with the use of synthetic chemotherapeutic drugs [59]. Various research evidence was reported to bolster the use of traditional medicinal plants in effective HCC regimens [60]. Natural phytochemicals present in medicinal plant extracts activate antioxidant, antitumor, and anti-inflammatory effects, suppressing the signaling pathways responsible for cancer development and promoting mechanisms linked to disease prevention [61]. The interaction of different natural agents with the efficacy of anticancer treatment is well-recognized. Therefore, the current study focuses on alternate natural therapies for the prevention and management of hepatocellular carcinoma. In recent years, medicinal plants with a wide range of bioactive compounds have become popular in the treatment of several inflammation-induced malignancies.

In the present study, BME extract exhibited a higher concentration of TPCs (274.92±3.52 mgGAE/g), TFCs (141.99±4.14 mgQAE/g), and tannins (55.49±4.63 mgTAE/g) as compared to BMH extract. Our results are greater than those of the previously published study on methanolic extract; this discrepancy may be due to changes in plant extract preparation or sample collection methods [62]. The literature revealed that B. monnieri methanolic extract showed a higher concentration of these phytochemicals during phytochemical profiling [23]. Phenolic compounds like polyphenols have many medicinal actions, such as being anti-inflammatory, anti-allergic, antibacterial, hepatoprotective, antiproliferative, and cardioprotective. Flavonoids, tannins, terpenoids, and other active metabolites are abundant in plants and have therapeutic properties. These plant-derived active metabolites reduce free radicals and enhance metal chelation [63]. It also protects from severe damage, such as lipid membrane peroxidation, protein deterioration, and DNA mutation brought on by reactive oxygen species [64]. In total, forty-six compounds were screened by GCMS analysis from both extracts of B. monnieri. The identified molecules that have been found are part of the significant class of phytochemicals, which includes triglycerides, fatty acid esters, triterpene, steroids, phytosterol, and straight-chain alcohol, among many others. The major components were hexadecanoic acid,2-methyl-, methyl ester, ethyl linolenate, and trilinolein in BME extract, while in BMH extract was squalene, stigmasterol, 1-monolinoleoyl glycerol trimethylsilyl ether, and many others. Hexadecanoic acid,2-methyl-, was reported to have anticancer activity against the HT-29 cancer cell line [65]. Stigmasterol showed an inhibitory effect by causing cell cycle arrest (G1) in endometrial cancer via suppressing IGF1R/mTOR/Akt pathway [66]. A diverse range of bioactive compounds with anti-tumor properties are also present in both extracts. Our results showed that BME extract exhibited a higher level of concentration-dependent antioxidant activity by neutralizing free radicals, including DPPH, NO, H2O2, and superoxide anions, than BMH extract, as shown in Fig 2 and Table 4. This may be due to the polarity of ethanol to extract more polar antioxidant phytochemicals, which give better results as compared to other solvents [67]. Similarly, a previous study showed a higher antioxidant activity of methanolic B. monnieri extract using various in-vitro antioxidant assays [68]. The increased antioxidant activity could be the cause of the higher concentration of bioactive secondary metabolites in their respective extracts.

The therapeutic potential of pharmacologically significant phytocompounds from BME and BMH extracts requires extensive research. Hence, a previous study linked natural agents and conventional plant-based medicines that are useful in treating liver cancer; however, their investigation was restricted to clinical trials [69]. These natural components employ their anti-tumor effect by activating several anti-proliferative processes but usually induce apoptosis in cancerous cells to halt their growth [70]. In the current study, the cytotoxicity of BME and BMH extracts was concentration-dependent, as observed against HepG2 cells using MTT assay (Fig 3). Different inhibitory responses were observed at varying concentrations (10, 25, 50, and 100 μg/mL) of cisplatin, BME, and BMH extracts. The IC50 values in terms of cytotoxicity are given in Table 5. According to the American Cancer Research Center, a crude extract is considered a potent cytotoxic agent if its IC50 concentration is less than 30 µg/mL [71]. Our results demonstrated that BME extract (IC50: 24.77 µg/mL) was observed to be more pronounced than other extracts. These results agree with other studies in which ethanolic and dichloromethane fractions of B. monnieri showed good cytotoxicity against breast cancer cell lines [72]. Contrary to our research, B. monnieri hexane extract exhibited a better anti-proliferative effect with an IC50 value of 53.0 μg/mL on MCF-7 cells [73]. Our findings demonstrated that a higher percentage of apoptosis was induced by BME extract (58.65%) and cisplatin (58.95%) on HepG2 cells in comparison to BMH extract (48.45%) as depicted in Fig 6. Cisplatin can interfere with the DNA repair mechanism by cross-linking purine bases, leading to DNA damage that ultimately activates apoptotic signaling pathways in cancer cells [74]. These findings agree with the preceding research [75]. This is the first report to show the apoptotic induction of B. monnieri extracts on HepG2 cells.

Moreover, the cell viability assessment of both extracts was done by crystal violet assay, and the results are presented in Fig 5. The reduced cell proliferation of HepG2 cells was observed at 36.83%, 44.48%, and 57.32% for BME, BMH, and cisplatin, respectively. In both extracts, BME extract demonstrated noticeable cytotoxicity with lower percentage of viable cells. In 2019, the combined effect of bacopaside I and II, isolated from B. monnieri, effectively decreased the proliferation, invasion, and migration of MDA-MB-231 & BT-474 through cell cycle arrest and apoptosis [76]. Thus, it is suggested that a significant number of HepG2 cells undergo apoptotic cell death following treatment with BME extract, and this extract may have the ability to develop into a potent anti-cancer drug.

Furthermore, the literature demonstrates that both oxidative stress and inflammation may lead to initiate angiogenesis and cancer progression [77]. Synthetic drug targeting is a monotargeted approach may not be functional due to the complexity of cancer; therefore, the best mode of action is to target several receptors to inhibit cell multiplication. There has been debate that multi-target therapies can mitigate the difficulties caused by acquired resistance to chemotherapeutic drugs [78]. The selected natural chemicals undergo docking to overcome these challenges and explore their anticancer potential for better treatment strategies [79]. Before conducting additional experiments, the computational approach assessed the binding affinities of possible drug candidate against target proteins that are associated with disease progression [80]. Phytocompounds may target various deregulated signaling pathways, including NF-кB, PI3K/mTOR, MAPKs, AMPKs, TGF-β, Wnt/β-catenin and JNK/STAT3 pathways in various cancers [81]. As we know, the HCC tumor microenvironment is a complex and dynamic system of stromal and immune cells communicating with tumor cells, and novel immunotherapeutics are required to target and manage resistance observed during treatment [82]. Current evidence suggests that TNF-α is an inflammatory mediator with a molecular connection between sustained inflammation and the emergence of several malignancies [83].

Additionally, research demonstrated that elevated TNF-α expression levels were observed in HCC liver tissues, and anti-TNFα treatment may suppress the progression of HCC [84, 85]. TGF-β is significantly enhanced in several malignancies, including HCC. A recent study revealed that inhibition of TGF-β increases the cytotoxic efficacy of therapies by targeting the EGFR [86] while TGF-βR1 is a key receptor for its activation. Another research reported that ginseng extract has an anti-fibrotic impact by downregulating the TGF-βR1 and TGF-β/Smad pathway [87]. Moreover, nitric oxide is excessively expressed in neoplastic lesions, is generated by iNOS during inflammation, and is involved in cancer progression [88]. It has been reported that iNOS is overexpressed in HCC and patients with fibrosis, cirrhosis, and hepatitis [89]. Dealing with these inflammatory mediators and their underlying pathways in preclinical studies to inhibit hepatocarcinogenesis, may suggest its therapeutic role in treating inflammation-induced hepatocellular carcinoma. So, we selected the target proteins such as TNF-α, TGF-β and iNOS having significant roles in HCC development. In present-day research, the binding energies of selected bioactive phytocompounds against selected target macromolecules are shown in Table 7. Overall, among selected drug-like compounds of both extracts of B. monnieri, the Spiro[(tricyclo[6.2.2.0(2,7)]dodeca-5,9- diene)-4,1’-cyclobutane]-11,2’-dione, 1,3,3,5,12,12-hexamethyl from BME extract exhibited the best-hit score against all target proteins, followed by caryophyllene oxide selected from BMH extract. The present study showed a valuable in-sight into the anticancer potential of BME extract, but further research is needed to explore their effective therapeutics before integrating them into the final product. A selected phytocompound with improved stability, bioavailability, and cell-directed delivery should be investigated in animal models. Subsequently, these compounds undergo clinical trials to verify their toxicity, safety and efficacy profile prior to regulatory authorization. The best-hit compounds of BME extract with significant antiproliferative potential, are selected due to their strong potency in the development of alternative anticancer drugs.

Conclusion

In our study, in vitro and in silico approaches were used to evaluate the hepatoprotective potential of ethanol and n-hexane extracts of B. monnieri. BME extract was found to be more active in suppressing proliferation and inhibiting apoptosis by reducing oxidative stress due to the presence of valuable phytochemicals. Furthermore, the in silico attempt further confirmed the multi-targeted anticancer effect of phytochemicals identified in BME extract through the GCMS analysis. However, further investigations are needed at molecular and metabolic levels to explore its therapeutics against liver cancer before the development of novel plant-based drugs.

Acknowledgments

The authors would also like to extend their sincere appreciation to the Researchers Supporting Project Number (RSP2025R350), King Saud University, Riyadh, Saudi Arabia.

References

  1. 1. Arnold M, Abnet CC, Neale RE, Vignat J, Giovannucci EL, McGlynn KA, et al. Global burden of 5 major types of gastrointestinal cancer. Gastroenterology. 2020;159(1):335–349.e15. pmid:32247694
  2. 2. Foglia B, Turato C, Cannito S. Hepatocellular carcinoma: latest research in pathogenesis, detection and treatment. Int J Mol Sci. 2023;24(15):12224. pmid:37569600
  3. 3. Rumgay H, Arnold M, Ferlay J, Lesi O, Cabasag CJ, Vignat J, et al. Global burden of primary liver cancer in 2020 and predictions to 2040. J Hepatol. 2022;77(6):1598–606. pmid:36208844
  4. 4. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49. pmid:33538338
  5. 5. Pinheiro PS, Jones PD, Medina H, Cranford HM, Koru-Sengul T, Bungum T, et al. Incidence of etiology-specific hepatocellular carcinoma: diverging trends and significant heterogeneity by race and ethnicity. Clin Gastroenterol Hepatol. 2024;22(3):562–71.e8. pmid:37678486
  6. 6. Refolo MG, Messa C, Guerra V, Carr BI, D’Alessandro R. Inflammatory mechanisms of HCC development. Cancers (Basel). 2020;12(3):641. pmid:32164265
  7. 7. Wang Y, Li J, Xia L. Plant-derived natural products and combination therapy in liver cancer. Front Oncol. 2023;13:1116532. pmid:36865794
  8. 8. Myint PP, Dao TTP, Kim YS. Anticancer activity of smallanthus sonchifolius methanol extract against human hepatocellular carcinoma cells. Molecules. 2019;24(17):3054. pmid:31443460
  9. 9. Farooqi HMU, Sammantasinghar A, Kausar F, Farooqi MA, Chethikkattuveli Salih AR, Hyun K, et al. Study of the anticancer potential of plant extracts using liver tumor microphysiological system. Life (Basel). 2022;12(2):135. pmid:35207423
  10. 10. Kowsalya R, Kaliaperumal J, Vaishnavi M, Namasivayam E. Anticancer activity of Cynodon dactylon L. root extract against diethyl nitrosamine induced hepatic carcinoma. South Asian J Cancer. 2015;4(2):83–7. pmid:25992348
  11. 11. Esmeeta A, Adhikary S, Dharshnaa V, Swarnamughi P, Ummul Maqsummiya Z, Banerjee A, et al. Plant-derived bioactive compounds in colon cancer treatment: An updated review. Biomed Pharmacother. 2022;153:113384. pmid:35820317
  12. 12. Naeem A, Hu P, Yang M, Zhang J, Liu Y, Zhu W, et al. Natural products as anticancer agents: Current status and future perspectives. Molecules. 2022;27(23):8367. pmid:36500466
  13. 13. Olivia NU, Goodness UC, Obinna OM. Phytochemical profiling and GC-MS analysis of aqueous methanol fraction of Hibiscus asper leaves. Fut. J. Pharm. Sci. n.d.;7(1):1–5.
  14. 14. Meng XY, Zhang HX, Mezei M, Cui M. Molecular docking: A powerful approach for structure-based drug discovery. Curr Comput Aided Drug Des. 2011;7(2):146–57. pmid:21534921
  15. 15. Crusz SM, Balkwill FR. Inflammation and cancer: Advances and new agents. Nat Rev Clin Oncol. 2015;12(10):584–96. pmid:26122183
  16. 16. Liu ZW, Zhang YM, Zhang LY, Zhou T, Li YY, Zhou GC, et al. Duality of interactions between TGF-β and TNF-α during tumor formation. Front Immunol. 2022;12:810286. pmid:35069596
  17. 17. Wu Y, Zhou BP. TNF-alpha/NF-kappaB/Snail pathway in cancer cell migration and invasion. Br J Cancer. 2010;102(4):639–44. pmid:20087353
  18. 18. Aroucha DC, do Carmo RF, Moura P, Silva JL, Vasconcelos LR, Cavalcanti MS, et al. High tumor necrosis factor-α/interleukin-10 ratio is associated with hepatocellular carcinoma in patients with chronic hepatitis C. Cytokine. 2013;62(3):421–5. pmid:23602201
  19. 19. Xin X, Cheng X, Zeng F, Xu Q, Hou L. The role of TGF-β/SMAD signaling in hepatocellular carcinoma: From mechanism to therapy and prognosis. Int J Biol Sci. 2024;20(4):1436–51. pmid:38385079
  20. 20. Jiang Y, Sun A, Zhao Y, Ying W, Sun H, Yang X, et al. Proteomics identifies new therapeutic targets of early-stage hepatocellular carcinoma. Nature. 2019;567(7747):257–61. pmid:30814741
  21. 21. Glynn SA. Emerging novel mechanisms of action for nitric oxide in cancer progression. Curr Opin Physiol. 2019;9:18–25.
  22. 22. Wang R, Geller DA, Wink DA, Cheng B, Billiar TR. NO and hepatocellular cancer. Br J Pharmacol. 2020;177(24):5459–66. pmid:31423564
  23. 23. Jain PK, Das D, Jain P, Jain P. Pharmacognostic and pharmacological aspect of Bacopa monnieri: A review. rays (Fig. 2). 2016;8:9.
  24. 24. Abdul Manap AS, Vijayabalan S, Madhavan P, Chia YY, Arya A, Wong EH, et al. Bacopa monnieri, a neuroprotective lead in alzheimer disease: A review on its properties, mechanisms of action, and preclinical and clinical studies. Drug Target Insights. 2019;13:1177392819866412. pmid:31391778
  25. 25. Vishnupriya P, Padma VV. A review on the antioxidant and therapeutic potential of Bacopa monnieri. React Oxygen Species. 2017;3(1):111–20.
  26. 26. Ghosh S, Khanam R, Acharya Chowdhury A. The evolving roles of bacopa monnieri as potential anti-cancer agent: a review. Nutr Cancer. 2021;73(11–12):2166–76. pmid:33148034
  27. 27. Mishra SR, Behera BP, Singh VK, Mahapatra KK, Mundkinajeddu D, Bhat D, et al. Anticancer activity of Bacopa monnieri through apoptosis induction and mitophagy-dependent NLRP3 inflammasome inhibition in oral squamous cell carcinoma. Phytomedicine. 2024;123:155157. pmid:37951147
  28. 28. Janani P, Sivakumari K, Geetha A, Yuvaraj S, Parthasarathy C. Bacoside a downregulates matrix metalloproteinases 2 and 9 in den-induced hepatocellular carcinoma. Cell Biochem Funct. 2010;28(2):164–9. pmid:20084675
  29. 29. Al-Nuri M, Abu-Reidah IM, Alhajeh AA, Omar G, Adwan G, Warad I. GC–MS-based metabolites profiling, in vitro antioxidant, anticancer, and antimicrobial properties of different solvent extracts from the botanical parts of micromeria fruticosa (Lamiaceae). Processes. 2022;10(5):1016.
  30. 30. Phuyal N, Jha PK, Raturi PP, Rajbhandary S. Total phenolic, flavonoid contents, and antioxidant activities of fruit, seed, and bark extracts of zanthoxylum armatum DC. ScientificWorldJournal. 2020;2020:8780704. pmid:32256249
  31. 31. Khanal LN, Sharma KR, Pokharel YR, Kalauni SK. Phytochemical analysis and in vitro antioxidant and antibacterial activity of different solvent extracts of beilschmiedia roxburghiana nees stem barks. Sci World J. 2022;2022:6717012. pmid:35378792
  32. 32. Gurning K, Simanjuntak HA, Purba H, Situmorang RF, Barus L, Silaban S. Determination of total tannins and antibacterial activities ethanol extraction seri (Muntingia calabura L.) leaves. J Phys Conf Ser. 2021;1811(1):012121.
  33. 33. Painuli S, Rai N, Kumar NA. Gas chromatography and mass spectrometry analysis of a methanolic extract of leaves of Rhododendron arboreum. GAS. 2016;9(1):101–4.
  34. 34. Braca A, De Tommasi N, Di Bari L, Pizza C, Politi M, Morelli I. Antioxidant principles from bauhinia tarapotensis. J Nat Prod. 2001;64(7):892–5. pmid:11473417
  35. 35. Kamble SC, Humbare RB, Sarkar J, Kulkarni AA. Assessment of phytochemicals and antioxidant properties of root extracts of rubia cordifolia L. in different solvent systems. Biol Life Sci Forum. 2020;4(1):100.
  36. 36. Iqbal J, Zaib S, Farooq U, Khan A, Bibi I, Suleman S. Antioxidant, antimicrobial, and free radical scavenging potential of aerial parts of periploca aphylla and ricinus communis. ISRN Pharmacol. 2012;2012:563267. pmid:22919511
  37. 37. Ruch RJ, Cheng SJ, Klaunig JE. Prevention of cytotoxicity and inhibition of intercellular communication by antioxidant catechins isolated from Chinese green tea. Carcinogenesis. 1989;10(6):1003–8. pmid:2470525
  38. 38. Kalsoom A, Altaf A, Jilani MI, Sattar H, Maqbool T, Muhammad T. In vitro antiproliferative potential of cassia angustifolia extracts on HepG2 cells to combat liver cancer. Int J Appl Exp Biol. 2024;3(2):113–23.
  39. 39. Nawaz A, Jamal A, Arif A, Parveen Z. In vitro cytotoxic potential of solanum nigrum against human cancer cell lines. Saudi J Biol Sci. 2021;28(8):4786–92. pmid:34354467
  40. 40. Alawode TT, Lajide L, Olaleye M, Owolabi B. Crinum jagus: Antiproliferative studies of extracts on HepG2 cell line and in silico assessment of phytoconstituents as potential inhibitors of p53–mortalin interaction. Fut J Pharm Sci. 2023;9(1):39.
  41. 41. Kiran A, Altaf A, Sarwar M, Malik A, Maqbool T, Ali Q. Phytochemical profiling and cytotoxic potential of arnebia nobilis root extracts against hepatocellular carcinoma using in-vitro and in-silico approaches. Sci Rep. 2023;13(1):11376. pmid:37452082
  42. 42. Kiran A, Altaf A, Sarwar M, Maqbool T, Ashraf M, Naveed M, et al. Exploring the phytochemical profile, antioxidant activity, and anticancer potential of achillea millefolium extracts: In-vitro and in-silico investigation. S Afr J Bot. 2025;177(1):684–98.
  43. 43. Saliu TP, Umar HI, Ogunsile OJ, Okpara MO, Yanaka N, Elekofehinti OO. Molecular docking and pharmacokinetic studies of phytocompounds from nigerian medicinal plants as promising inhibitory agents against SARS-CoV-2 methyltransferase (nsp16). J Genet Eng Biotechnol. 2021;19(1):172. pmid:34751829
  44. 44. Binkowski TA, Naghibzadeh S, Liang J. CASTp: Computed atlas of surface topography of proteins. Nucleic Acids Res. 2003;31(13):3352–5. pmid:12824325
  45. 45. Chandel V, Tripathi G, Nayar SA, Rathi B, Kumar A, Kumar D. In silico identification and validation of triarylchromones as potential inhibitor against main protease of severe acute respiratory syndrome coronavirus 2. J Biomol Struct Dyn. 2022;40(19):8850–65. pmid:33939590
  46. 46. SIB Swiss Institute of Bioinformatics Members. The SIB swiss institute of bioinformatics’ resources: Focus on curated databases. Nucleic Acids Res. 2016;44(D1):D27–37. pmid:26615188
  47. 47. Pires DE, Blundell TL, Ascher DB. pkCSM: Predicting small-molecule pharmacokinetic and toxicity properties using graph-based signatures. J Med Chem. 2015;58(9):4066–72. pmid:25860834
  48. 48. Cheng F, Li W, Zhou Y, Shen J, Wu Z, Liu G, et al. admetSAR: A comprehensive source and free tool for assessment of chemical ADMET properties. J Chem Inf Model. 2012;52(11):3099–105. pmid:23092397
  49. 49. Trott O, Olson AJ. Autodock vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J Comput Chem. 2010;31(2):455–61. pmid:19499576
  50. 50. Iheagwam FN, Ogunlana OO, Chinedu SN. Model optimization and in silico analysis of potential dipeptidyl peptidase iv antagonists from GC-MS identified compounds in nauclea latifolia leaf extracts. Int J Mol Sci. 2019;20(23):5913. pmid:31775302
  51. 51. Azeem M, Mustafa G, Mahrosh HS. Virtual screening of phytochemicals by targeting multiple proteins of severe acute respiratory syndrome coronavirus 2: Molecular docking and molecular dynamics simulation studies. Int J Immunopathol Pharmacol. 2022;36:3946320221142793. pmid:36442514
  52. 52. Kanthe PS, Patil BS, Das KK, Parvatikar PP. Structural analysis and prediction of potent bioactive molecule for eNOS protein through molecular docking. In Silico Pharmacol. 2021;9(1):48. pmid:34422545
  53. 53. Kalsoom A, Altaf A, Sarwar M, Maqbool T, Ashraf MAB, Sattar H, et al. GC-MS analysis, molecular docking, and apoptotic-based cytotoxic effect of Caladium lindenii Madison extracts toward the HeLa cervical cancer cell line. Sci Rep. 2024;14(1):18438. pmid:39117897
  54. 54. Kalsoom A, Altaf A, Sattar H, Maqbool T, Sajjad M, Jilani MI, et al. Gene expression and anticancer evaluation of Kigelia africana (Lam.) Benth. Extracts using MDA-MB-231 and MCF-7 cell lines. PLoS One. 2024;19(6):e0303134. pmid:38837975
  55. 55. Qais FA, Alomar SY, Imran MA, Hashmi MA. In-silico analysis of phytocompounds of olea europaea as potential anti-cancer agents to target pkm2 protein. Molecules. 2022;27(18):5793. pmid:36144527
  56. 56. Flores-Holguín N, Frau J, Glossman-Mitnik D. In silico pharmacokinetics, ADMET study and conceptual dft analysis of two plant cyclopeptides isolated from rosaceae as a computational peptidology approach. Front Chem. 2021;9:708364. pmid:34458236
  57. 57. Gao Q, Zhu H, Dong L, Shi W, Chen R, Song Z, et al. Integrated proteogenomic characterization of HBV-related hepatocellular carcinoma. Cell. 2019;179(2):561–77.e22. pmid:31585088
  58. 58. Anwanwan D, Singh SK, Singh S, Saikam V, Singh R. Challenges in liver cancer and possible treatment approaches. Biochim Biophys Acta Rev Cancer. 2020;1873(1):188314. pmid:31682895
  59. 59. Acheampong DO, Baffour IK, Atsu Barku VY, Addo JK, Essuman MA, Boye A. Zanthoxylum zanthoxyloides Alkaloidal Extract Improves CCl4-induced hepatocellular carcinoma-like phenotypes in rats. Evid Based Complement Alternat Med. 2021;2021:3804379. pmid:34367300
  60. 60. Alansari WS, Eskandrani AA. The anticarcinogenic effect of the apple polyphenol phloretin in an experimental rat model of hepatocellular carcinoma. Arab J Sci Eng. 2020;45(6):4589–97.
  61. 61. Aouissi H, Gourine N, Wang H, Chen X, Bombarda I, Boudjeniba M, et al. Chemical composition, antioxidative, antimicrobial and anti-cancer activities of Asteriscus graveolens (Forssk) essential oil. Orient Pharm Exp Med. 2018;18:217–23.
  62. 62. Saravanakumar K, Park S, Sathiyaseelan A, Kim KN, Cho SH, Mariadoss AVA, et al. Metabolite profiling of methanolic extract of gardenia jaminoides by LC-MS/MS and GC-MS and its anti-diabetic, and anti-oxidant activities. Pharmaceuticals (Basel). 2021;14(2):102. pmid:33525758
  63. 63. Karakaya S, Bingol Z, Koca M, Dagoglu S, Pınar NM, Demirci B, et al. Identification of non-alkaloid natural compounds of angelica purpurascens (Avé-Lall.) Gilli. (Apiaceae) with cholinesterase and carbonic anhydrase inhibition potential. Saudi Pharm J. 2020;28(1):1–14. pmid:31920428
  64. 64. Basit A, Ahmad S, Khan KUR, Naeem A, Usman M, Ahmed I, et al. Chemical profiling of justicia vahlii roth. (Acanthaceae) using UPLC-QTOF-MS and GC-MS analysis and evaluation of acute oral toxicity, antineuropathic and antioxidant activities. J Ethnopharmacol. 2022;287:114942. pmid:34968664
  65. 65. Bharath B, Perinbam K, Devanesan S, AlSalhi MS, Saravanan M. Evaluation of the anticancer potential of hexadecanoic acid from brown algae turbinaria ornata on HT–29 colon cancer cells. J Mol Struct. 2021;1235:130229.
  66. 66. Wang WL, Chen SM, Lee YC, Chang WW. Stigmasterol inhibits cancer stem cell activity in endometrial cancer by repressing IGF1R/mTOR/AKT pathway. J Funct Foods. 2022;99:105338.
  67. 67. Akinmoladun AC, Falaiye OE, Ojo OB, Adeoti A, Amoo ZA, Olaleye MT. Effect of extraction technique, solvent polarity, and plant matrix on the antioxidant properties of Chrysophyllum albidum G. Don (African Star Apple). Bull Natl Res Cent. 2022;46(1).
  68. 68. Meena H, Pandey HK, Pandey P, Arya MC, Ahmed Z. Evaluation of antioxidant activity of two important memory enhancing medicinal plants baccopa monnieri and centella asiatica. Indian J Pharmacol. 2012;44(1):114–7. pmid:22345883
  69. 69. Man S, Luo C, Yan M, Zhao G, Ma L, Gao W. Treatment for liver cancer: From sorafenib to natural products. Eur J Med Chem. 2021;224:113690. pmid:34256124
  70. 70. Chaudhry GE, Md Akim A, Sung YY, Sifzizul TMT. Cancer and apoptosis: The apoptotic activity of plant and marine natural products and their potential as targeted cancer therapeutics. Front Pharmacol. 2022;13:842376. pmid:36034846
  71. 71. Chothiphirat A, Nittayaboon K, Kanokwiroon K, Srisawat T, Navakanitworakul R. Anticancer potential of fruit extracts from vatica diospyroides symington type SS and their effect on program cell death of cervical cancer cell lines. Sci World J. 2019;2019:5491904. pmid:31118873
  72. 72. Mallick MN, Akhtar MS, Najm MZ, Tamboli ET, Ahmad S, Husain SA. Evaluation of anticancer potential of Bacopa monnieri L. against MCF-7 and MDA-MB 231 cell line. J Pharm Bioallied Sci. 2015;7(4):325–8. pmid:26681894
  73. 73. VG DR, KP M, Gopinath V. Evaluation of anticancer activity of Bacopa monnieri hexane fractions against breast cancer MCF7 cell linese. Onkol Radioter. 2021;15(2):73.
  74. 74. Dasari S, Tchounwou PB. Cisplatin in cancer therapy: Molecular mechanisms of action. Eur J Pharmacol. 2014;740:364–78. pmid:25058905
  75. 75. Jayakar V, Lokapur V, Shantaram M. In-vitro antioxidant and selective cytotoxicity of Garcinia cambogia and Garcinia indica leaf extracts on human kidney cancer cell line. J Res Pharm Sci. 2021;12(3):1718–28.
  76. 76. Palethorpe HM, Smith E, Tomita Y, Nakhjavani M, Yool AJ, Price TJ, et al. Bacopasides I and II act in synergy to inhibit the growth, migration and invasion of breast cancer cell lines. Molecules. 2019;24(19):3539. pmid:31574930
  77. 77. Wigner P, Grębowski R, Bijak M, Saluk-Bijak J, Szemraj J. The interplay between oxidative stress, inflammation and angiogenesis in bladder cancer development. Int J Mol Sci. 2021;22(9):4483. pmid:33923108
  78. 78. Holohan C, Van Schaeybroeck S, Longley DB, Johnston PG. Cancer drug resistance: an evolving paradigm. Nat Rev Cancer. 2013;13(10):714–26. pmid:24060863
  79. 79. Phosrithong N, Ungwitayatorn J. Molecular docking study on anticancer activity of plant-derived natural products. Med Chem Res. 2010;19(11):817–35.
  80. 80. Gurung AB, Ali MA, Lee J, Farah MA, Al-Anazi KM. Molecular docking and dynamics simulation study of bioactive compounds from Ficus carica L. with important anticancer drug targets. PLoS One. 2021;16(7):e0254035. pmid:34260631
  81. 81. Majrashi TA, Alshehri SA, Alsayari A, Muhsinah AB, Alrouji M, Alshahrani AM, et al. Insight into the biological roles and mechanisms of phytochemicals in different types of cancer: Targeting cancer therapeutics. Nutrients. 2023;15(7):1704. pmid:37049544
  82. 82. Sas Z, Cendrowicz E, Weinhäuser I, Rygiel TP. Tumor microenvironment of hepatocellular carcinoma: Challenges and opportunities for new treatment options. Int J Mol Sci. 2022;23(7):3778. pmid:35409139
  83. 83. Brenner D, Blaser H, Mak TW. Regulation of tumour necrosis factor signalling: Live or let die. Nat Rev Immunol. 2015;15(6):362–74. pmid:26008591
  84. 84. Pikarsky E, Porat RM, Stein I, Abramovitch R, Amit S, Kasem S, et al. NF-kappaB functions as a tumour promoter in inflammation-associated cancer. Nature. 2004;431(7007):461–6. pmid:15329734
  85. 85. Liu XL, Li FQ, Liu LX, Li B, Zhou ZP. TNF-α, HGF and macrophage in peritumoural liver tissue relate to major risk factors of HCC Recurrence. Hepatogastroenterology. 2013;60(125):1121–6. pmid:24018067
  86. 86. Bedi A, Chang X, Noonan K, Pham V, Bedi R, Fertig EJ, et al. Inhibition of TGF-β enhances the in vivo antitumor efficacy of EGF receptor-targeted therapy. Mol Cancer Ther. 2012;11(11):2429–39. pmid:22927667
  87. 87. Hafez MM, Hamed SS, El-Khadragy MF, Hassan ZK, Al Rejaie SS, Sayed-Ahmed MM, et al. Effect of ginseng extract on the TGF-β1 signaling pathway in CCl4-induced liver fibrosis in rats. BMC Complement Altern Med. 2017;17(1):45. pmid:28086769
  88. 88. Wu J, Akaike T, Hayashida K, Okamoto T, Okuyama A, Maeda H. Enhanced vascular permeability in solid tumor involving peroxynitrite and matrix metalloproteinases. Jpn J Cancer Res. 2001;92(4):439–51. pmid:11346467
  89. 89. Fathy M, Nikaido T. In vivo modulation of iNOS pathway in hepatocellular carcinoma by Nigella sativa. Environ Health Prev Med. 2013;18(5):377–85. pmid:23609474