Volume 2025, Issue 1 8055358
Research Article
Open Access

Antioxidant and Anticancer Activities of Barleria longiflora L. f. From Siriya Kalvarayan Hills

Panjatcharam Varadharasu

Panjatcharam Varadharasu

Department of Botany , Thanthai Periyar Government Arts and Science College (Autonomous) , Affiliated to Bharathidasan University , Tiruchirappalli , 620023 , Tamil Nadu, India

Search for more papers by this author
Kandavel Dhandayuthapani

Kandavel Dhandayuthapani

Department of Botany , Affiliated to University of Madras , Government Arts College , Nandanam , Chennai , 600035 , Tamil Nadu, India , govartcbe.org

Search for more papers by this author
Pushparaj Annadurai

Pushparaj Annadurai

Department of Medicinal Botany and Pharmacognosy , Nanda Siddha Medical College and Hospital (Affiliated to Dr. M. G. R. Medical University, Tamil Nadu) , Erode , 638052 , India

Search for more papers by this author
Vishal Ahuja

Corresponding Author

Vishal Ahuja

Department of Biotechnology , University Institute of Biotechnology , Chandigarh University , Mohali , 140413 , Punjab, India , chandigarhuniversity.ac.in

Department of Biotechnology , University Centre for Research & Development , Chandigarh University , Mohali , 140413 , Punjab, India , chandigarhuniversity.ac.in

Search for more papers by this author
Shikha Chauhan

Shikha Chauhan

Department of Biotechnology , University Institute of Biotechnology , Chandigarh University , Mohali , 140413 , Punjab, India , chandigarhuniversity.ac.in

Search for more papers by this author
Kalpana Tilak

Kalpana Tilak

Department of Biotechnology , University Institute of Biotechnology , Chandigarh University , Mohali , 140413 , Punjab, India , chandigarhuniversity.ac.in

Search for more papers by this author
Balamurugan Sudarrajan

Balamurugan Sudarrajan

Department of Botany , Thanthai Periyar Government Arts and Science College (Autonomous) , Affiliated to Bharathidasan University , Tiruchirappalli , 620023 , Tamil Nadu, India

Search for more papers by this author
GholamReza Abdi

Corresponding Author

GholamReza Abdi

Department of Biotechnology , Persian Gulf Research Institute , Persian Gulf University , Bushehr , Iran , pgu.ac.ir

Search for more papers by this author
Deepak Sharma

Deepak Sharma

Department of General Surgery , Saveetha Medical College and Hospital , Saveetha Institute of Medical and Technical Sciences , Thandalam, Chennai , 602105 , Tamil Nadu, India , saveetha.com

Search for more papers by this author
First published: 29 May 2025
Academic Editor: Ezzouhra Elmaaiden

Abstract

Barleria, the third largest genus of the Acanthaceae family, carries a distinct position due to cultural as well as economic significance. Its aerial parts including stem, flowers, leaves, and underground part roots have been used in ancient civilizations as ornament, food, and for religious activities since ages. The presence of diverse phytochemicals is accountable for diverse healthcare applications including analgesic, antioxidant, and antimicrobial. In current work, previous knowledge is exploited as the foundation for the evaluation of Barleria longiflora leaves from the Siriya Kalvarayan hills region against lung cancer. The crude ethanolic extract of leaves has shown significant anti-inflammatory and antioxidant activity. Leaf extract has considerable in vitro free radical scavenging activity in DPPH and ABTS assay, i.e., 62% and 64%, respectively, in comparison to L-ascorbic acid (100 g.mL−1). Leaf extract has also shown commendable cytotoxicity against A549 cells (IC50: 71.00 μL.mL−1). Gas chromatography-mass spectrometry identified around 38 phytochemicals including stigmasterol, resorcinol, and 3,4-anhydro-d-galactosan. In silico analysis identified good binding molecules through molecular docking studies, especially stigmasterol having significant Ki values against the cancer receptors such as PI3K, mTOR, and ERβ. The phytochemicals from Barleria longiflora have shown commendable antimicrobial and anticancer activities which is also supported with in silico analysis. The compounds responsible for anticancer activity can become major ingredient for drug formulation after trials.

1. Introduction

Plants have been used as medicine for centuries due to the lower frequency of side effects. Different traditional healthcare systems like Ayurveda in India [1], traditional Chinese medicines [2] and the East-Mediterranean region [3], Siddha, Unani, and Homeopathy [4] etc., have used plant-based formulations for health care, disease prophylaxis and treatment. Ancient literature like Vedas described numerous healthcare formulation including concoctions, fumes, infusions, tincture, decoctions, and teas [5, 6] prepared with plants and herbs due to the presence of abundant phytochemicals including amines, phenols [7], flavanols [8], and isoprene derivatives [9] that are accountable for their antioxidant, antibacterial, anticarcinogenic, anti-inflammatory, antidiabetic [10, 11], antitumor, antileprosy, and antiviral effects [1215]. Currently, many commercial products and drugs are formulated using either natural phytochemicals or their derivatives.

In context to biodiversity, Indo-Himalayan region [16, 17] and Western Ghats’ forest and hills are among the richest natural resources regarding flora and fauna [18]. These plants carry a significant role in ancient human civilization, culture, religious beliefs, and ceremonies [19]. Barleria, one of the largest genera, belongs to Acanthaceae family distributed in Southeast Asia known for widespread pharmacological applications in curing inflammations, pain, leukemia, cancer, tumor, glycemia, amoeba, viral, and other microbial infection [12]. Barleria longiflora is one of the shrub species, widely distributed in “Western Ghats.” It is a tiny shrub with 1-2 m height with oppositely arranged pointed hairy leaves. The flower’s tube is white with a purplish color which is 8-9 cm long and narrow [20]. Various species of Barleria have shown conducive results for pharmacological properties [12]; however, B. longiflora has not been explored much for such analysis.

On the other hand, carcinogenesis incidents especially lung cancer cases have increased tremendously due to pollution and increased exposure to chemicals and radiation. World Cancer Research Fund International has identified lung cancer as the second most common cancer across the globe with more than 2.2 million cases alone in 2020. Hungary was the most affected country in 2020 with 10, 274 cases followed by Serbia, France, and New Caledonia [21]. Therefore, the current work was intended to examine the potential of B. longiflora as a potent source of bioactive phytochemicals with cytotoxic and inhibitory potential efficacy against lung cancer. The work combines the empirical and traditional knowledge with advanced statistical and in silico analysis for target specificity and ADMET profiling.

2. Materials and Methods

2.1. Collection of Plant Part (Leaves)

B. longiflora is prominently present in South Eastern Ghats of India. For the work, plant leaves were collected from Siriya Kalvarayan hills, part of South Eastern Ghats, Kallakurichi District (Tamil Nadu), India, in December-January. The collected sample specimen was identified at Department of Botany, Government Arts College, Nandanam, Chennai-600035. The specimen has been assigned the ID NO: GACNBOT101.

2.2. Extract Preparation

Phytochemical extraction from B. longiflora leaves was done with the Soxhlet apparatus using polar and nonpolar solvents, viz., aqueous, hexane, ethanol, acetone, methanol, and chloroform as per established protocol [22, 23].

2.3. Phytochemical Analysis

Quantitative analysis of phytoconstituents in the ethanolic leaf extract of B. longiflora was determined by different conventional methods. Chlorophyll and carotenoids were quantified by the Arnon method [24]. Total sugar and lipid content in extract were assessed by the DuBois method [25] and gravimetric method [26], respectively. Protein and amino acid concentration in extract was quantified by the “Lowry method” [27] and “ninhydrin assay” [28], respectively. Phenolics, flavonoids, and tannins were quantified by using the Folin–Ciocalteu method [29].

2.4. Antioxidant Activity of B. longiflora Leaf Extract

2.4.1. DPPH Assay

Antioxidant activity of B. longiflora leaf extract against free radicals was estimated by DPPH assay which traces transfer of electrons that develops a violet color solution in methanol [30]. Crude leaf extract at varying concentrations (10–100 μg.mL−1) and an equal volume of fresh DPPH (0.1 mM methanolic solution) were mixed vigorously and kept in dark for 30 min at room temperature. The scavenging activity resulted in disappearance of violet color and was estimated at 520 nm. For comparison, negative control (distilled water) and positive control (L-ascorbic acid) were used. The scavenging activity of B. longiflora leaf extract was measured using the following equation:
(1)
where Ac and As denote the absorbance of positive control and sample, respectively.

2.4.2. 2,2′-Azino-Bis(3-Ethyl-Benzothiazoline-6-Sulfonic Acid) (ABTS) Assay

The antioxidant efficacy of B. longiflora was tested by ABTS radical cation decolorization assay [31, 32]. For analysis ABTS (7 mM aqueous solution) and potassium persulfate (2.45 mM aqueous solution) mixed in equal amount and kept at room temperature in dark for 12–16 h.It generatesABTS radical cations (ABTSo+). ABTSo+ solution was diluted with ddH2O to attain OD of 0.700 at 734 nm. ABTSo+ fresh solution (3.995 mL) was mixed with 5 μL B. longiflora leaf extract and kept again for 30 min followed by absorbance recording at 734 nm. The scavenging potential was determined using equation (1).

2.5. Cytotoxic Activity of B. longiflora Leaf Extract

Cytotoxicity is the ability to be toxic to cells. The cytotoxicity of B. longiflora extract was studied on the A549 cells following MTT assay [33]. A549 cells, procured from NCCS, Pune (India), were maintained in Dulbecco’s Modified Eagle Medium (DMEM) with 10% FBS and 100 μg.mL−1 of both streptomycin and penicillin. The cells were incubated at 37°C with 5% CO2 in a CO2 incubator. For cytotoxicity assay, A549 cells were transferred to a 24-well plate (1 × 105 cells per well) and were grown to confluence at 37°C with 5% CO2. Different concentrations of extract were added to each well and incubated again for 24 h. After incubation, excess plant extract was removed by from well and washed with PBS (pH 7.4). For cell viability analysis, MTT (100 μL; 0.5%) was added to each well, incubated for 4 h and mixed with 1 mL DMSO. The absorbance was recorded at 570 nm and compared with DMSO and commercial drug as negative and positive control. Cell viability was calculated by the following equation:
(2)

2.6. Anti-Inflammatory Activity

In vitro anti-inflammatory potential of B. longiflora extract was determined by the Human Red Blood Cell (HRBC) method [34]. Blood of healthy volunteers was mixed in equal volume with fresh Alsevers solution (citric acid (0.9%, w/v), sodium chloride (0.72%, w/v), dextrose (2.0%, w/v) and sodium citrate (0.8%, w/v)). Packed red blood cells from mixture was collected by centrifugation at 4°C for 15 min at 10,000 rpm. After centrifugation, sample washed and suspended in isosaline solution. The HRBC suspension was used for estimation of the anti-inflammatory activity of the leaf extract. Varying concentrations of leaf extract were separately mixed with phosphate buffer (2.0 mL), HRBC suspension (0.9 mL), and hyposaline (4.0 mL) and incubated for 30 min at 37°C. Solution without leaf extract served as control. The mixture was centrifuged at 3000 rpm and pellet was considered to estimate hemoglobin content by spectrophotometer at 620 nm [35]. Hemolysis (%) was calculated by the following equation:
(3)
where ODsample and ODcontrol denote absorbance of test sample with plant extract and control.

2.7. Gas Chromatography-Mass Spectrometry (GC-MS) Analysis

The phytochemical constituents in leaf extract were identified using GC-MS (Perkin Elmer Clarus 500). Phytochemical profiling of leaf extracts of was carried out with GC-MS system equipped with Phenomenex Luna PFP analytical capillary column (30 m × 0.25 mm × 0.25 μm) and flame ionization detector. The analysis was conducted with carrier gas (He) flow rate of 1 mL.min−1, 10 μL injection volume injected at 280°C (injection port temperature), and stationary phase temperature ranging from 60°C to 300°C (10°C.min−1). Mass spectrum of extract was obtained with full scan mode (40–450 Daltons) and identification was done with the National Institute of Standards and Technology (NIST) library [36].

2.8. Docking Analysis

The structures of phytochemicals, identified by GC-MS, as well as receptor proteins for lung cancer, e.g., 5NGB (PI3K), 4JT6 (mammalian target of rapamycin (mTOR)), ERβ, and 3PP0 (human epidermal growth factor receptor-2 (HER-2)), were retrieved from the Protein Data Bank (PDB) and PubChem repositories for docking analysis using AutoDock Tools (ADT) [37, 38]. Different commercial inhibitors are used as control drugs for docking studies, e.g., taselisib and dactolisib for 3NG, rapamycin and ridaforolimus for 4JT6, toremifene for 3OS8, and neratinib and lapatinib for 3PP0.

3. Results and Discussion

The leaf extracts of B. longiflora contained sugar, catechin, flavonoids, triterpenoids, saponin, tannins, anthraquinone, amino acids, sterol, and carbohydrates, according to the results of phytochemical screening of the extracts (Table 1). The B. longiflora extracts in methanol, ethanol, and chloroform were particularly effective suppliers of various types of chemicals. This shows that these solvents’ strong polarity makes them useful for isolating biologically active molecules, and flavonoids were found in the leaf extracts of the plant in chloroform and acetone.

Table 1. Preliminary phytochemical screening of B. longiflora.
Name of the test Aqueous Methanol Ethanol Acetone Chloroform Hexane
Triterpenoids + +
Sugar + + + + + +
Catechin +
Flavonoids + + +
Saponin + + + +
Tannins + +
Anthraquinone + +
Amino acid
Sterol +

Among all the solvents, ethanolic extract has shown higher potential bioactivity and was hence selected for further characterization. The leaf extracts of B. longiflora contained sugar, catechin, flavonoids, tannins, triterpenoids, anthraquinone, saponin, amino acids, and sterol (Table 2), which may be responsible for bioactivity.

Table 2. Qualitative analysis of B. longiflora leaf extract.
Test Quantity (mg/g)
Chlorophyll a 10.12 ± 0.4
Chlorophyll b 11.22 ± 1.1
Total chlorophyll 16.25 ± 0.1
Total carotenoids 4.22 ± 2.0
Total sugar 151 ± 0.3
Total protein 1.7 ± 2.1
Total lipids 121 ± 1.5
Total free amino acids 0.7 ± 0.4
Total phenol 79.51 ± 1.1
Total tannin 55.78 ± 0.2
Total flavonoids 162 ± 0.8

3.1. Antioxidant Activity Analysis of Plant Extract

The majority of natural antioxidants originated from plants such as herbs, fruits, vegetable, and spices which contain mostly phenolic compounds, alkaloids, steroids, vitamins, and carotenoids. In the present investigation, ethanolic plant leaf extract of B. longiflora has shown considerable antioxidant properties, i.e., 30%–65% (DPPH assay) and 41%–63% (ABTS radical cation) at 10–100 μg.mL−1 concentration range in comparison to ascorbic acid (75%–95% in DPPH and 70%–90% in ABTS assay) (Figure 1).

Details are in the caption following the image
Antioxidant activity of B. longiflora ethanolic leaf extract.

3.2. Cytotoxicity of B. longiflora Leaf Extract Against A549 Cells

The anticancer or cytotoxic effect of B. longiflora extract against A549 cell line was investigated with ethanolic extract. Over the past 3 decades, cytotoxicity studies have been crucial in the development of new anticancer formulations. The cytotoxic action of B. longiflora extract demonstrated that plant extract inhibited the proliferation of cancer cells in dose and time-dependent manner (Figures 2(a), 2(b), and 2(c)).

Details are in the caption following the image
Cytotoxic effect of B. longiflora leaf extract against lung cancer cells. (a) A549 lung cancer cell line control. (b) A549 cell lines treated. (c) Vero cells treated. (d) Cytotoxicity curve and IC50 value.
Details are in the caption following the image
Cytotoxic effect of B. longiflora leaf extract against lung cancer cells. (a) A549 lung cancer cell line control. (b) A549 cell lines treated. (c) Vero cells treated. (d) Cytotoxicity curve and IC50 value.
Details are in the caption following the image
Cytotoxic effect of B. longiflora leaf extract against lung cancer cells. (a) A549 lung cancer cell line control. (b) A549 cell lines treated. (c) Vero cells treated. (d) Cytotoxicity curve and IC50 value.
Details are in the caption following the image
Cytotoxic effect of B. longiflora leaf extract against lung cancer cells. (a) A549 lung cancer cell line control. (b) A549 cell lines treated. (c) Vero cells treated. (d) Cytotoxicity curve and IC50 value.

Compared to cancer cells, the cytotoxic study analyzed showed a considerable reduction in cell viability (A549). The percentage of cell viability of A549 revealed a clear declining trend in a dose-dependent manner. Similar patterns were seen with Vero cells at concentrations of 0–20 g.mL−1, with IC50 values for lung cancer cell lines less than 71.00 μL.mL−1 (Figure 2(d)). Consequently, an extract from B. longiflora may be utilized to treat cancer in people.

3.3. Anti-Inflammatory Analysis of B. longiflora Extract

B. longiflora leaf extract, used in the current investigation, has shown anti-inflammatory activity as a clear declining trend in inflammatory markers was observed in a dose-dependent manner. Similar patterns were seen with aspirin cells at concentrations of 0–800 μg/mL (Figure 3).

Details are in the caption following the image
Anti-inflammatory potential of B. longiflora ethanolic extract of leaves.

3.4. GC-MS Analysis

The chemical profiling of B. longiflora leaf extract GC-MS has identified a total of 38 compounds (Table 3). Among the listed compounds, some compounds are critical for bioactivity of plant leaf extract while some are part of structural components. Among the identified compounds, 3 compounds were dominant with peak area, e.g., linoleic acid (16.84%), palmitic acid (11.69%), phthalic acid (8.09%), solanesol (4.13%), and palmitoleic acid (2.52%). In the current work as well, out of 38, only 7 were major compounds. Based on the available literature, all the compounds were examined for their bioactivity and used for docking with the selected receptors, which play a key role in lung cancer.

Table 3. Chemical profiling of B. longiflora ethanolic leaf extract by GC-MS.
Peak RT Area (%) Compound name Molecular weight (g/mol) Molecular formula Medicinal properties Reference
1 5.31 0.39 1,2-Cyclopentanedione 98.10 C5H6O2 No significant report found
2 10.208 0.5 4H-Pyran-4-one 144.12 C6H8O4 Antioxidant activity [39]
3 11.537 0.43 Resorcinol 110.11 C6H6O2 Cytotoxic and anti-inflammatory activity [40]
4 11.978 0.75 2,3-Dihydro-benzofuran 110.11 C6H6O2 Antibacterial, antidermatophytic action, and antioxidant activity [41]
5 12.178 0.26 3,4-Anhydro-d-galactosan 144.12 C6H8O4 No significant report found
6 13.067 0.51 2H-Pyran-2-one, 130.14 C6H10O3 No significant report found
7 14.108 0.41 2-Methoxy-4-vinylphenol 150.17 C9H10O2 Anticancer activity, anti-inflammatory [42]
8 16.916 0.69 Indole-6-carboxaldehyde 145.16 C9H7NO Anticancer activity [43]
9 17.089 0.32 Phenol 219.20 C9H9N5O2 No significant report found
10 18.509 0.34 Trichloroacetic acid, tridec-2-ynyl ester 314.7 C15H23Cl3O2 No significant report found
11 19.201 0.23 Azacyclotridecan-2-one 197.32 C12H23NO No significant report found
12 19.386 0.54 3-tert-Butyl-4-hydroxyanisole 180.24 C11H16O2 No significant report found
13 19.455 0.45 Benzoic acid 168.15 C8H8O4 No significant report found
14 19.918 0.28 Diethyl phthalate 222.24 C2H14O4 Antioxidant [44, 45]
15 20.779 2.0 1,3,4,5-Tetrahydroxycyclohexanecarboxylic acid 192.17 C7H2O6 No significant report found
16 22.753 0.47 Coniferyl alcohol 180.20 C10H12O3 Inhibits fungal growth [46]
17 23.147 0.68 Myristic acid 228.37 C14H28O2 No significant report found
18 24.514 0.85 Neophytadiene 278.5 C20H38 Anti-inflammatory activity [47]
19 24.63 0.17 3,7,11,15-Tetramethyl-2-hexadecene 280.5 C20H40 No significant report found
20 25.247 0.27 3,7,11,15-Tetramethyl-2-hexadecen-1-OL 296.5 C20H40O No significant report found
21 25.999 0.24 Methyl palmitate 270.5 C17H34O2 Anti-inflammatory activity and anticancer effect [48]
22 26.263 2.52 Palmitoleic acid 254.41 C16H13O2 Anti-inflammatory activity [49]
23 26.646 11.69 Palmitic acid 256.42 C16H32O2 Anti-inflammatory activity, cytotoxic and apoptosis potential on breast cancer cells [50]
24 27.546 0.52 Oleic acid 282.5 C18H34O2 Antioxidant, anti-inflammatory activity, antimicrobial activity, and anticancer effect [51]
25 28.672 0.34 Methyl linoleate 294.5 C18H34O2 No significant report found
26 28.767 0.5 Linolenic acid, 2-hydroxy-1-(hydroxymethyl)ethyl ester 352.5 C21H36O4 No significant report found
27 29.365 16.84 Linoleic acid 280.4 C18H32O2 Anti-inflammatory activity [52]
28 34.562 1.65 Hexadecanoic acid, 2-hydroxy-1-(hydroxymethyl)ethyl ester 330.5 C19H38O4 No significant report found
29 34.675 0.88 Dihydroselarene No significant report found
30 34.836 8.09 Phthalic acid 166.13 C8H6O4 Antimicrobial activity and antioxidant [53]
31 35.066 0.39 Cholesterol 386.7 C27H46O Antimicrobial activity, anticancer, and antioxidant effect [5456]
32 36.792 0.59 Linoleic acid propyl ester 322.5 C21H38O2 No significant report found
33 36.89 1.34 cis,cis,cis-7,10,13-Hexadecatrienal 234.38 C16H26O No significant report found
34 37.161 0.65 Glyceryl monostearate 358.6 C21H42O4 Antimicrobial and anticancer activity [57, 58]
35 37.255 0.33 Alpha-Kessyl acetate 280.4 C17H28O3 No significant report found
36 38.291 4.13 Solanesol 631.1 C45H74O Anti-inflammatory activity [59]
37 38.968 0.27 Stigmasterol 412.7 C29H48O Anticancer activity, anti-inflammatory activity, and antimicrobial activity [60, 61]
38 39.625 0.18 2,2,4-Trimethyl-3-(3,8,12,16-tetramethyl-heptadeca-3,7,11,15-tetraenyl)-cyclohexanol 428.7 C30H52O No significant report found

3.5. In Silico Docking Studies

The phytochemicals identified from Barleria longiflora leaf extract by GC-MS may be responsible for the bioactivity specifically anticancer activity but to get the type of interaction of phytochemicals with target receptors, docking analysis was conducted. Among 38 phytochemicals, only 8 have shown some affinity with the target receptors and hence were selected for further interaction studies (Figures 4(a), 4(b), 4(c), and 4(d) and Table 4).

Details are in the caption following the image
Interaction site for phytochemicals with target receptors. (a) 5NGB (PI3K). (b) 4JT6 (mTOR). (c) 3OS8 (ER beta). (d) 3PPO (HER-2).
Table 4. B. longiflora phytochemical interaction with residues.
Protein targets Compounds Van der Waals/conventional hydrogen bond Alkyl/pi-alkyl Pi-sigma/pi-donor hydrogen bond/unfavorable donor-donor Carbon hydrogen bond/covalent bond/unfavorable acceptor acceptor Pi-pi T-shaped/pi-anion/pi-lone pair
A. 5NGB (PI3K) Azacyclotridecan-2-one Asp589, Met387, Arg389, Cys590, Gly593, Leu583, Phe587, Val618, Asp584, Phe585, Tyr621, Pro588, and Ser623 Glu622
Stigmasterol Pro173, Cys815, Leu735, Gln795, Gln792, Gly814, Asp736, Asp642, Gln170, and 606 Phe609, Leu816, Phe646, His650, and Met788
Neophytadiene Arg389, Glu622, Ser623, Gly593, Asp626, Asp584, and Glu628 Leu583, Pro588, Val618, Phe585, Tyr621, Met387, Cys590, Cys627, and Tyr
Taselisib Arg246, Glu248, Cys815, Lys642, Phe646, Gln795, Gln610, Gln792, Tyr261, Gln260, and Tyr813 Phe609, Leu791, and Met788 Leu735, Gln170, Ser738, Gly814, and Ser264 Asp736
Dactolisib Ser754, Asp897, Pro758, Lys779, Asp787, Thr833, Tyr813, Val828, and Phe908 Met752, Ile825, Ile777, and Val827 Ile910, Met900, and Trp760 Asp911, Asp832, and Ser831
  
B. 4JT6 chain A (mTOR) Stigmasterol Asp2212, Leu2208, Asn2211, Glu2409, Glu2405, and Asn1898 Pro2213, His2410, and Val2406
Azacyclotridecan-2-one Cys2243, Leu2354, Leu2185, Ile2237, Tyr2225, Gly2238, Val2240, and Met2345 Ile2356 and Trp2239
2-Methoxy-4-vinylphenol Arg2348, Gly2351, Ser2307, Trp2304, Leu2303, and Arg2316 Lys2306, Trp2313, Arg2317, Leu2346, and Tyr2320
Rapamycin Ser2221, Lys2352, Ala2226, Asp2347, Ser2350, Ile2222, Asn2206, Gln2223, Pro2241, Val2240, Tyr2225, Trp2239, Gly2238, Phe2182, Pro2141, Thr2143, and Gly2142 Phe2184 Arg2224
Ridaforolimus Arg2251, Arg2348, Trp2239, Thr2164, Gln2261, Ser2342, Asp2252, Ala2248, Asp2244, Thr2249, Leu2354, and Val2162 Val2240, Met2345, Ile2237, Leu2185, and Ile2356, Cys2243 and Ile2163
  
C. 3OS8 chain A (ER-beta) Stigmasterol Met357, His356, Glu353, Glu323, Ile386, Leu320, Gly390, Leu327, Lys449, Pro325, and Val446 Arg394, Ile326, Trp393, Phe445, Pro324, and Leu387
Azacyclotridecan-2-one Phe445, Gly390, Arg394, Lys449, Ile326, Pro325, Ile386, Leu387, Pro325, Leu327, and Glu353 Pro324
Neophytadiene Thr347, Gly521, Phe404, Met343, Phe425, Arg394, and Glu353 Val533, Ala350, Met388, Trp383, Leu391, Leu384, Leu346, Leu428, Ile424, Met421, and His524
Toremifene Leu428, Phe425, Val422, Met388, Thr347, Val533, Trp383, Met342, Leu410, and Gly521 Leu391, Leu346, Ala350, Leu384, Ile424, Leu525, Met343, and His524 Phe404 and Met421 Arg412 and Gly415
  
D. 3PP0 chain A (HER-2) Stigmasterol Asp845, Arg849, Asn850, Ala730, Leu866, Val884, Lys883, and Asp924 Lys887, Lys921, Trp888, Pro922, Ala928, Ile886, and Pro885
Neophytadiene Asp863, Leu852, Thr862, Thr798, Ser783, Glu770, and Ile767 Lys753, Ala751, Val734, Leu796, Leu785, Met774, Phe864, and Ala771
Azacyclotridecan-2-one Phr759, Arg756, Arg868, Leu755, Ile767, Glu770, Leu866, and Glu766 Phe731 and Ala763 Gly865
Lapatinib Leu869, Asp769, Leu870, Ile714, Leu790, Leu712, Ile788, Lys765, Glu766, Arg868, and Tyr877 Leu768 Tyr772
Neratinib Leu790, Ile788, Ile714, Lys765, Tyr772, Leu768, Asp769, Leu869, Ala710, and Leu711 Ala771 and Ala775 Leu712

Table 4 summarizes the interaction profile of selected phytochemicals and compares them with commercially available inhibitors available in the market, i.e., taselisib and dactolisib for 5NGB, rapamycin and ridaforolimus for 4JT6, toremifene for 3OS8, and neratinib and lapatinib for 3PP0. For 5NGB, dactolisib has the lowest binding energy along with an inhibitory constant of 0.004 μM. In comparison to commercial inhibitors, only one phytochemical “azacyclotridecan-2-one” has shown compatible results with a binding energy of −8.43 kcal/mol; however, the inhibitory constant was much higher (0.665 μM). Only one phytochemical “stigmasterol” has shown potential efficacy against the other three protein targets, i.e., 3PP0, 3OS8 chain A, and 4JT6 chain A. Against 4JT6 and 3OS8, stigmasterol has lower binding energy and lower inhibitory constant which suggest that the effective concentration of phytochemical is much lower in comparison to commercial inhibitors.

3.5.1. PI3K

PI3K has a crucial role in several cancers and is a downstream effector of receptor tyrosine kinases such as insulin receptor and HER-2, which transduce growth factor signaling [62]. PI3K governs phosphatidylinositol-3,4,5-triphosphate (PIP3) production and activates Akt (protein kinase B) and other kinases. This protein has a “p85” regulatory domain and “p110” catalytic domain. “PI3K-Akt-mTOR” pathway reigns cellular longevity, cellular proliferation through nutrient uptake (as well as anabolism) and finally, increases cell survival through apoptosis inhibition. The “PI3K/Akt/mTOR pathway” is commonly dysregulated in almost all human cancers, and hence the proteins of this pathway are prime targets of anticancer therapeutic regimes [63, 64].

Often, inhibitors of this pathway decrease cellular proliferation and increase cell death. Since cancer cells achieve immortality, many therapeutic molecules are directed at the activation of apoptosis. In this work, some of the phytochemicals identified from B. longiflora extract with their favorable binding energies and low Ki values are compatible with control compounds such as TLB and DLB. As mentioned above, azacyclotridecan-2-one (ACT) and stigmasterol (SSL) have minimum binding energy among all phytochemicals (−8.43 and −8.06 kcal/mol, respectively) but higher than the commercial inhibitors like taselisib and dactolisib (−9.34 and −11.36 kcal/mol, respectively). In terms of inhibitory constant and effective dosage,the quantity of compounds is minimal in the case of dactolisib (0.004 μM) and taselisib (0.143 μM) which is much lower in comparison to 0.665 μM (azacyclotridecan-2-one) and 1.23 μM (stigmasterol).

The kinase domain of human p110 is located between residues ∼696 and 1068. In PI3K p110α, the key residue involved in phosphoryl group transfer reaction is Lys802. Residues involved in substrate stabilization in PI3K which line the binding pocket are 941-KKKKFGYKRER-951 [65]. The drug XL765 was found to dock at the site of natural ligand LXX in the kinase domain of p110 and some common residues were found in interactions of both the inhibitor XL765 and the natural ligand [66]. In our analysis, we found that diverse kinds of interactions were proffered by PI3K in docking the plant compounds. The best interactions comprised of bonding and nonbonding interactions; in SSL association with PI3K, a hydrogen bond between ASP606 and PI3K p110 can be seen (Figures 5(a), 5(b), 5(c), 5(d), and 5(e)); also, other interactions such as pi-alkyl or alkyl (as well as nonbonded interactions such as van der Waals) are seen. In RCL binding, pi-stigma was observed. Strangely, the commercial compounds did not show high-affinity interactions with PI3K.

Details are in the caption following the image
Interaction of PI3K receptor with phytochemicals. (a) ACT. (b) SSL. (c) NPD. (d) TLB. (e) DLB.

3.5.2. mTOR

mTOR is a PI3K-related Ser/Thr kinase which is responsible for cell growth through direct or indirect phosphorylation of ∼800 proteins [67]. Since the protein had two distinct chains (A and C in PDB ID: 4JT6), docking was done separately for the two chains. Against the larger chain A, the plant compounds showed better ΔG values and were able to interact better with chain A, as evidenced by the favorable bonding (conventional H-bonding of SSL and Pi-alkyl bonding of RCL and several other forces such as van der Waals). Comparatively, the control compounds (RMN and RFL) had better dock scores (−9.07 to ∼−9.73) which are responsible for the existence of several carbon-hydrogen bonds with the protein (Figures 6(a), 6(b), 6(c), 6(d), and 6(e)). The predicted Ki values for the docked plant compounds were much lower than those of controls (Table 5).

Details are in the caption following the image
Interaction of mTOR receptor with phytochemicals. (a) SSL. (b) ACT. (c) MVP. (d) RMP. (e) RFL.
Table 5. Docking studies of B. longiflora phytochemicals.
Protein targets Ligands Binding energy (kcal/mol) Ligand efficiency Inhib_constant (μM) IE VDE EE
A. (PI3K) 5NGB Azacyclotridecan-2-one −8.43 −0.6 0.665 −8.43 −8.41 −0.01
Stigmasterol −8.06 −0.27 1.23 −9.85 −9.74 −0.11
Neophytadiene −7.12 −0.36 6.09 −10.99 −10.99 0.0
2,3-Dihydro-benzofuran −5.87 −0.65 50.2 −5.87 −5.8 −0.06
2-Methoxy-4-vinylphenol −5.67 −0.52 70.22 −6.56 −6.54 −0.02
1,2-Cyclopentanedione −4.84 −0.69 283.22 −4.84 −4.66 −0.18
Resorcinol −4.45 −0.56 548.65 −5.04 −4.92 −0.12
3,4-Anhydro-d-galactosan −4.09 −0.41 1000 −4.39 −4.36 −0.03
Taselisib −9.34 −0.27 0.143 −10.83 −10.59 −0.24
Dactolisib −11.36 −0.32 0.004 −12.38 −12.19 −0.18
  
B. (mToR) 4JT6 Stigmasterol −11.64 −0.39 0.002 −13.43 −13.34 −0.09
Azacyclotridecan-2-one −7.09 −0.51 6.3 −7.09 −7.03 −0.06
2-Methoxy-4-vinylphenol −6.05 −0.55 36.63 −6.95 −6.82 −0.12
2,3-Dihydro-benzofuran −5.55 −0.62 85.93 −5.55 −5.46 −0.09
Neophytadiene −5.35 −0.27 120.45 −9.22 −9.23 0.0
Resorcinol −4.61 −0.58 418.0 −5.21 −4.78 −0.42
1,2-Cyclopentanedione −4.54 −0.65 468.58 −4.54 −4.46 −0.08
3,4-Anhydro-d-galactosan −4.37 −0.44 629.69 −4.67 −4.36 −0.32
Rapamycin −9.73 −0.15 0.074 −12.41 −11.97 −0.44
Ridaforolimus −9.07 −0.13 223.69 −12.06 −11.98 −0.07
  
C. (ERβ) 3OS8 Stigmasterol −10.27 −0.34 0.0029 −12.06 −12.07 0.01
Azacyclotridecan-2-one −7.37 −0.53 3.96 −7.37 −7.29 −0.08
Neophytadiene −6.74 −0.34 11.54 −10.61 −10.61 0.0
2,3-Dihydro-benzofuran −5.5 −0.61 93.0 −5.5 −5.22 −0.28
2-Methoxy-4-vinylphenol −5.4 −0.49 111.02 −6.29 −5.89 −0.4
Resorcinol −4.48 −0.56 524.29 −5.07 −4.78 −0.29
1,2-Cyclopentanedione −4.47 −0.64 532.41 −4.47 −4.0 −0.46
3,4-Anhydro-d-galactosan −4.25 −0.43 767.84 −4.55 −4.34 −0.2
Toremifene −9.84 −0.34 0.061 −12.53 −12.42 −0.11
  
D. (HER-2) 3PP0 Stigmasterol −7.99 −0.27 1.39 −9.78 −9.62 −0.16
Neophytadiene −6.58 −0.33 15.13 −10.45 −10.46 0.0
Azacyclotridecan-2-one −6.4 −0.46 20.39 −6.4 −6.26 −0.14
2,3-Dihydro-benzofuran −5.06 −0.56 196.8 −5.06 −5.01 −0.04
1,2-Cyclopentanedione −5.05 −0.72 198.64 −5.05 −4.9 −0.15
2-Methoxy-4-vinylphenol −5.2 −0.47 153.22 −6.1 −6.07 −0.03
Resorcinol −4.37 −0.55 627.91 −4.97 −4.69 −0.29
3,4-Anhydro-d-galactosan −4.02 −0.4 1130 −4.32 −3.92 −0.4
Neratinib −6.86 −0.17 9.4 −10.14 −9.18 −0.96
Lapatinib −7.72 −0.19 2.2 −11.0 −10.16 −0.84

Stigmasterol (SSL), Resorcinol (RCL), and 3,4-Anhydro-d-galactosan (ADG) have Ki values of 0.002 μM, 418.0μM, and 629.69 μM, respectively with mTOR. On the other hand, the smaller subunit (chain C) was found to interact with the control drugs RMN and RFL with binding scores (ΔG) of −9.73 and −9.07 kcal/mol, respectively (shown in red, Figures 6(d) and 6(e)), yielding predicted Ki values in both nanomolar and micromolar ranges. However, from literature survey, the kinase site of mTOR possesses two lobes, the KD N lobe and the KD C lobe, and the kinase domain of mTOR is located in chain A. Key residues of mTOR reported earlier for docking of substrates as well as inhibitors are located in the KD N lobe and the residue numbers are Asp2195, Asp2357, Tyr2225, Ile2163, Pro2169, Leu2185, Asn2343, Lys2187, Glu2190, Asp2357, and Asp2338 [68, 69]. Compared to the interactions between mTOR chain A and C, since the kinase activity of the protein is present in chain A, it is assumed that the docking results obtained for B. longiflora compounds with chain A could point to the ability of the compounds to inhibit the kinase activity of mTOR, and hence stigmasterol could serve as potential drugs for mTOR inhibition.

3.5.3. ERβ

Estrogen receptors α and β are responsible for binding to estrogen and triggering the expression of estrogen-responsive genes and both these proteins have 97% homology [70, 71]. Since ER is a nuclear receptor, it has a ligand binding domain which binds to estradiol (EDL) and then transactivates into the nucleus. Ligand-bound ER recognizes estrogen-response elements (EREs) and regulates protein kinase cascades, activation of eNOS through phosphorylation, and phosphorylation of other target proteins. Inside the nucleus, ER regulates transcription of genes responsible for endocrine, cardiovascular, and metabolic pathways, bone growth (and maturation), and skin health, apart from regulating the expression/development of secondary sexual characteristics [71]. In cardiomyocytes, ER signaling regulates vascular function and also the inflammatory response. Figures 7(a), 7(b), 7(c), and 7(d) show the binding of B. longiflora compounds to ERβ (3OS8) and the control compounds EDL as well as TMN. The phytochemicals were able to interact with target at two different pockets.

Details are in the caption following the image
Interaction of ERβ receptor with phytochemicals. (a) SSL. (b) ACT. (c) NPD. (d) TMN.

3.5.4. Human EpidermalGrowth Factor Receptor-2 (HER-2)

HER-2, an epidermal growth factor receptor, has tyrosine kinase activity. It exhibits autophosphorylation of tyrosine residues within the cytoplasmic domain of the receptors upon dimerization of the receptor which governs the signaling pathways responsible for cell proliferation and tumorigenesis. HER-2 mutation is mainly associated with 15%–30% of breast cancers followed by 10%–30% of gastric/gastroesophageal cancers and cancer associated with the bladder, colon, endometrium, ovary, and lung [72]. In lungs, HER-2 is linked with non-small-cell lung cancer (NSCLC). Three mechanisms have been suggested for NSCLC including 1%–4% gene mutation, 2%–5% gene amplification, and 2%–30% protein overexpression [73]. Docking studies showed that stigmasterol has an effective binding affinity toward HER-2. The binding energy of stigmasterol for HER-2 is almost close to lapatinib (−7.99 and −7.72 kcal.mol−1, respectively). The inhibitory constant also emphasizes on higher suitability of phytochemicals as a lower dose is required.

The interaction studies and participation of different residues were also analyzed (Figures 8(a), 8(b), 8(c), 8(d), and 8(e) and Table 5). It is clear from the analysis that van der Waals forces are crucial for the interaction between target receptors and molecules (drug and phytochemical). The analysis revealed stigmasterol as one of the potent candidates for drug formulation.

Details are in the caption following the image
Interaction of HER-2 receptor with phytochemicals. (a) SSL. (b) NPD. (c) ACT. (d) NTB. (e) LTB.

4. Discussion

Plants are the safest and richest sources for various biomolecules and bioactive compounds [74], which played a crucial role in food and healthcare [15] for ages in different ancient and tribal practices [75]. Besides common biomolecules like carbohydrates, proteins, and lipids, plants are also rich in phytochemicals like alkaloids, tannins, and polyphenols which are well reported for healthcare and promoting abilities [76].

Barleria longiflora is one such species that has not been explored fully, and only a few studies are available related to its significance. The presence of diverse phytochemicals in Barleria albostellata’s leaf and stem has been reported which contribute to its anti-inflammatory, analgesic, antihyperglycemic, antileukemic, antitumor, and antimicrobial activities [75]. Jothimuniyandi and Jayachitra [77] also reported the highest anti-inflammatory potential with ethanolic extract of B. longiflora leaf (56%) followed by methanol (48%) and chloroform (46%). The antioxidant activity of ethanolic extract was also maximum (83%) among all the solvents used including aqueous, chloroform, petroleum ether, methanol, ethanol, and ethyl acetate. Comparative evaluation of methanolic and aqueous extract of leaves for phytochemical analysis revealed that phytochemical diversity was higher in methanolic extract. Leaf extract contains alkaloids, saponins, tannins, flavonoids, and proteins [78].

Irregular inflammation and oxidative stress are also associated with other complications like cancer, and plant extract has shown promising results against both. Amarasiri et al. [79] reported that extracts with organic solvents have a high fraction of polyphenols and flavonoids in comparison to water and hence have higher antioxidant activity. Barleria extract also helped in countering the DOX-induced oxidative stress by modulating the activity of glutathione peroxidase and glutathione reductase enzymes. Among all solvents explored, hexane-based extract has improved glutathione peroxidase activity by 111% while water-based extract only has 55%. It has been suggested that treatment with the Barleria prionitis extracts suppressed TNF-α and IL-1β significantly. In the rat model, the anti-inflammatory potential and TNF-α, and IL-1β suppression was in the order of aqueous > butanol > ethyl acetate > hexane [79]. Panchal et al. [80] also evaluated the anticancer potential of Barleria prionitis against different cell lines including breast, lung, colon, and respective metastatic cells. The maximum inhibition against cancer cells reported was 76.97% against colon metastatic cells followed by 71% against breast cancer cells. In comparison, the anticancer potential was higher in current work (65%). Alkahtani et al. [81] reported viability of L929, MCF-7, and A549 cells by MTT assay against the methanolic extract of Barleria hochstetteri. The IC50 value for methanolic extract was 144.30 μg/mL (A549) and 219.67 μg/mL (MCF-7). For L929 cells, IC50 was much higher which suggested that methanol extract was less toxic against the noncancerous L929 cell line. It was suggested that extract activated caspase-3 to initiate apoptosis by inhibiting Bcl-2 protein.

In the current work, a total of 38 compounds have been detected including stigmasterol, resorcinol, and phenol derivatives as major population. Alkahtani et al. [81] also identified palmitic and linolenic acid derivatives and solanesol as major compounds in the methanolic extract of Barleria hochstetteri. GC-MS identified 9 major compounds from the extract. Gangaram et al. [75] also confirmed that decanoic acid and its derivate were one of the most prominent groups of phytochemicals in B. albostellata leaves and stem extract in different solvents. Alcoholic extract (methanol) has confirmed the presence of stigmasterol in methanolic extract of stem as well as leaves. It was also observed that phytochemical diversity increased in alcoholic extract in comparison to chloroform and hexane or other nonpolar as well as aqueous extract. Therefore, the activity was also much higher in similar extracts.

5. Conclusions

Plants are the biggest and most eco-friendly source of bioactive compounds with the least chances for side effects. Barleria is one of such genera carrying a significant role in traditional activities, food, and healthcare. Different species of Barleria have been explored for bioactivities and diverse phytochemicals; however, B. longiflora has only a few reports in records. In the present work, B. longiflora leaves from the Siriya Kalvarayan hills region were evaluated for antioxidant, anti-inflammatory, and anticancer (lung cancer). Ethanolic leaf extract has shown considerable scavenging activity against DPPHo and ABTSo+ that is compatible with previous literature. Docking studies suggested that some of the phytochemicals could be more effective in inhibiting lung cancer–associated receptors and may prove effective in finding safer and more effective drugs for cure.

Ethics Statement

The ethical clearance for anti-inflammatory analysis was taken from Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai, Tamil Nadu, India (Ref. No. 487/12/2024/Staff/SRB/SMCH).

Consent

Written informed consent was obtained from the subject and subject information sheet has been provided.

Conflicts of Interest

The authors declare no conflicts of interest.

Author Contributions

Panjatcharam Varadharasu: experimentation, Kandavel Dhandayuthapani: concept and project mentoring, Pushparaj Annadurai: in silico analysis and validation, Vishal Ahuja: review editing and project mentoring, Shikha Chauhan: writing, review, and editing, Kalpana Tilak: writing and draft editing, Balamurugan Sudarrajan: concept and project mentoring, GholamReza Abdi: review and draft editing and mentoring, and Deepak Sharma: experimentation and analysis. Panjatcharam Varadharasu and Kandavel Dhandayuthapani contributed equally as co-first authors.

Funding

No funding was received for this manuscript.

Acknowledgments

The authors have nothing to report.

    Data Availability Statement

    The data are disclosed in the manuscript. More information can be provided by the corresponding authors upon request.

      The full text of this article hosted at iucr.org is unavailable due to technical difficulties.