# Wound Healing Potential and In Silico Appraisal ofConvolvulus arvensis L. Methanolic Extract

Authors: Uzma Saleem; Sana Khalid; Shingraf Zaib; Fareeha Anwar; Muhammad Furqan Akhtar; Liaqat Hussain; Ammara Saleem; Bashir Ahmad
Journal: BioMed Research International
 (2022)

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## Abstract

Convolvulus arvensis L. is rich in phenolic compounds and traditionally used to treat wounds, skin ulcer, and inflammation. The current study is aimed at scientifically potentiating its traditional wound healing use. The methanolic extract of C. arvensis stem (CaME) was analyzed for HPLC and GC-MS analyses. The binding modes of active compounds were investigated against protein targets glycogen synthase kinase-3β (GSK-3β), transforming growth factor-beta (TGF-β), c-myc, and β-catenin by molecular docking followed by molecular dynamic simulations which revealed some conserved mode of binding as reported in crystal structures. The antioxidant potential of CaME was evaluated by in vitro methods such as 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging, hydrogen peroxide scavenging, and ferric reducing power assays. Ointment formulations of 10 and 20% CaME were applied topically and evaluated for wound healing potency against the excisional wound on the skin of Wistar rats. Gentamycin (0.1%) served as standard therapy. The healing process was observed for 20 days in the form of wound size and epithelialization followed by histopathological evaluation of the wound area. Chemical characterization showed the presence of 7-hexadecenoic acid, 2-hexadecylicosan-1-ol, quercetin, gallic acid, ferulic acid, and other compounds. The plant extract exhibited significant in vitro antioxidant activity. The animals treated with 10% ointment showed moderate healing, whereas the treatment with 20% CaME revealed healing potential comparable to the standard 0.1% gentamycin as coevidenced from histopathological evaluation of skin. The study corroborates promising potential of C. arvensis on the healing of wounds, which possibly will be attributed to its antioxidant activity, fatty acids, quercetin, and gallic and caffeic acids, and binding potential of its phytoconstituents (phenolic acids) with wound healing targets.


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## Body

## 1. Introduction

Wound healing is an intricate pathophysiological process involving parallel roleplay of various biochemical and cellular pathways to reestablish cutaneous and subcutaneous tissues. Apart from that, various enzymatic pathways also activate during this process to accomplish tissue repair [1, 2]. This multifaceted physiological process involves different limitations, including bacterial infection. It also becomes challenging in the presence of many physiological disorders, for example, rheumatoid arthritis, zinc deficiency, and diabetes [3]. The neuropathy associated with diabetes diminishes the blood flow across the site of the wound, resulting in retardation of the healing process. Wound healing in diabetic patients, particularly in the form of a diabetic foot ulcer, is an overwhelming concern for health care authorities around the world. In various populations around the world, up to 25% diabetic patients have been reported to have a diabetic foot ulcer, which can consume as high as 25% of the health care budget pledged for diabetes [4].Plant-based natural products are the basic source of traditional herbal medicines. These substances are derived from plants with the least possible industrial processing. People are primarily dependent on this health care facility throughout the world [2]. The market for these products has mounted up to a staggering US$ 60 billion per annum (WHO traditional medicine strategy, 2002). The occurrence of various plant-derived life-supporting constituents, with significant physiological benefits, has inspired researchers to scrutinize these plants in order to regulate potential wound healing activities [5]. Numerous phytochemicals and their corresponding plant extracts have proven promising role in wound healing and are used as an alternative due to their diverse active ingredients and limited side effects [6, 7]. Various studies have reported the wound healing properties of different phytochemicals including flavonoids, alkaloids, terpenes, and carbohydrates [8, 9].Convolvulus arvensis L. (C. arvensis) is a yearly or occasionally perennial climber weed with a wide distribution all over the Europe and Asia belonging to family Convolvulaceae [10]. Traditionally, the flower is used as a tea infusion and also in the treatment of wounds, skin ulcers, inflammation, and fever, whereas the leaf can be helpful during the menstrual period [10, 11]. Phytochemical research on this plant exhibited the presence of saponins, flavonoids, alkaloids, and lipids [12]. Previous studies have shown the abundant presence of benzoic acid along with different phenolic compounds comprising p-hydroxybenzoic acid, vanillin acid, syringic acid, and ferulic acid in C. arvensis extract [13]. Moreover, it is reported the presence of neophytadiene, hexadecanamide, 9-octadecanamide, 2-benzendicarboxylic acid, 9-octadecanamide, stigment-5-en-3-ol, stearic acid, and vitamin E in the methanolic extracts of different parts of C. arvensis [14]. Based on this evidence, this in-progress research was performed to determine the wound healing potential of C. arvensis.Wound healing involves diverse pharmacological targets for suppressing the release of inflammatory cytokines and inflammatory transduction cascades which reduces the factors and augments antioxidative enzymes. Wound healing also involves the stimulating neovascularization and angiogenic paths via an increased expression of vascular endothelial growth factor, fibroblast growth factor, and platelet-derived growth factor [1, 15–17]. Previous studies have reported that the Wnt/β-catenin pathway can significantly enhance wound healing by inhibiting a vital regulatory protein, glycogen synthase kinase-3β (GSK-3β) [18, 19]. Moreover, for tissue repair, a transforming growth factor called TGF-β superfamily plays an important role [20–22]. Molecular studies of epidermis biopsy samples from diabetic patients have revealed pathogenic markers responsible for delayed wound healing. These include the nuclear localization of β-catenin in the nucleus and upregulation of c-myc [23].Molecular docking studies have been widely used to estimate the binding potential of small molecules followed by molecular dynamic simulations to examine the overall stability of proteins’ backbone atoms with respect to time [24–27]. The identified active compounds from C. arvensis stem after HPLC and GC-MS analysis were analyzed for their ability to bind with the respective targets through molecular docking studies. To further explore the protein/ligand stability, molecular dynamic (MD) simulations and molecular interactions were observed after 10 ns together with cocrystallized complexes of TGF-β, GSK-3β, β-catenin, and c-Myc.The plantC. arvensis is comprised of plant-derived vitamin K and different phenolic compounds such as vanillin acid, syringic acid, and ferulic acid which have shown wound healing properties. Moreover, the phenolic compounds present in C. arvensis also exhibit antioxidant potential and contribute to a reduction in oxidative stress [28]. The traditional uses of this plant for wound healing and as an anti-inflammatory agent make it a suitable candidate for pharmacological evaluation. Therefore, this study was aimed at evaluating the antioxidant activity and wound healing potential of C. arvensis along with the docking studies.


## 2. Materials and Methods

### 2.1. Collection of Plant and Its Authentication

The stem portion ofC. arvensis was collected (March 2018) and recognized, and its authenticity was approved by the taxonomist Dr. Mansoor Hameed (Botany Department, University of Agriculture Faisalabad), and a voucher specimen (244-2-18) was deposited in the herbarium.


### 2.2. Preparation of Methanol Extract

To prepare the methanolic extract ofC. arvensis stem (CaME), the fresh stem was shade dried and powdered by means of an electric mixer. The powder weighing 50 g was macerated in 100 mL methanol for 20 hours at standard room temperature. The mixture was then passed through a fine muslin cloth following its filtration through Whatman No. 1 filter paper. The remainder filtrate was dried on a rotary evaporator at 40°C under vacuum to evaporate the organic solvent and then freeze-dried for complete dryness [29, 30].


### 2.3. HPLC Analysis

For quantification of phenolic compounds, analytical HPLC system (Shimadzu Corporation, Kyoto, Japan) consisting of LC-10AT pump, UV visible detector SPD-10-AV, and CLC-ODS Shim-pack C18 column (250mm×4.6mm, 5 μm) was used. The data acquisition was performed using CSW32 software. The HPLC grade water, acetic acid, and acetonitrile were used as mobile phases. The separation was carried out by using acetic acid (1 M, pH 2.3) as solvent A and acetonitrile as solvent B (0−15min=15% B, 15−30min=45% B, and 30−45min=100% B). The elution was carried out at 25°C with the flow rate of 1 mL/min. The volume injection was 10 μL, and 280 nm was selected as the detector wavelength. The peaks were identified with respect to the retention time, and the concentrations were calculated by comparing with the corresponding standard curve [31].


### 2.4. GC-MS Analysis

The GC-MS analysis was performed on Agilent 6890 GC system coupled with an Agilent 5973N MSD operational at 70 eV. The ion source temperature was kept 200°C along with split inoculation (1μL injection volume, split ratio 50 : 1). HP-5MS-fused silica capillary column (30m×0.25mmID×0.25μm film, Agilent J&W, USA) was used. The oven temperature was varied from 100 to 275°C at 10°C/min for 20 min. As a carrier, helium gas was used at a continuous flow rate of 1 mL/min; data acquisition was done by Agilent GC/MSD CS Version D.02.00. The identification of C. arvensis constituents was based on the direct association of the retention times and mass spectral records with standard compounds and NIST/EPA/NIH mass spectral library stored on computer [14].


### 2.5. Antioxidant Assays

The 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity, hydrogen peroxide (H2O2) scavenging assay, and ferric reducing power assay of CaME were performed according to the published protocols with minor modifications [29]. For a fair comparison, test extract or standard ascorbic acid solutions (1 mg/mL) were mixed with reagent solutions to achieve an absolute concentration of 0.2 mg/mL in every case.


#### 2.5.1. DPPH Assay

Methanolic solutions ofCaME test sample (1 mg/mL), ascorbic acid (1 mg/mL) as standard, and DPPH (0.3 mmol/L) were used. The test sample or ascorbic acid solution was mixed with DPPH solution (1 : 4) and incubated for half an hour at room temperature in darkness, and absorbance was noted at 517 nm. The control solution contained methanol and DPPH solution (1 : 4). The percentage of DPPH radical scavenging activity was evaluated with the following relation:
(1)InhibitionofDPPHradical%=Ac−AtAc×100,where Ac is the absorbance of the control and At is the absorbance of the test sample. The experiment was repeated triple times with results represented as mean±S.D.


#### 2.5.2. FRAP

The ferric reducing antioxidant potential (FRAP) ofCaME was measured in a manner described by Benzie and Strain [32]. CaME and standard ascorbic acid solutions (1 mg/mL) were prepared in phosphate buffer (50 mmol/L, pH 6.7) and mixed with 1% w/v potassium ferricyanide (1 : 3.5) and were centrifuged for 10 min at 3000 rpm. The supernatant was mixed with 0.1% w/v FeCl3 (1 : 0.1) and the absorbance was measured at 593 nm. The control was prepared by adding potassium ferricyanide and FeCl3 to the blank phosphate buffer in a similar way. The ferric reducing power was calculated using the following relation:
(2)FerricreducingantioxidantpotentialFRAP%=Ac−AtAc×100,where Ac describes the absorbance of the control and At is the absorbance of the testing sample. The experiment was performed in triplicate and outcomes were represented at mean±S.D.


#### 2.5.3. H2O2 Scavenging Assay

The phosphate buffer (50 mmol/L, pH 7.3) was used to prepare 40 mmol/L H2O2 solution. The confirmation of concentration of the prepared solution was done by taking the absorbance at 230 nm. CaME and standard ascorbic acid solutions (1 mg/mL) were prepared in distilled water. The test sample and H2O2 solutions were mixed (1 : 4) and absorbance was determined at 230 nm after 10 min. The phosphate buffer solution minus H2O2 was used as black and the % of H2O2 scavenging was calculated using the following relation:
(3)Hydrogenperoxidescavenged%=Ac−AtAc×100,where Ac is the absorbance of the control and At is the test sample absorbance. The experiment was repeated 3 times and results were denoted at mean±S.D.


### 2.6. Acute Dermal Toxicity Testing

The acute dermal toxicity trial was conducted according to the test guidelines 402 of the Organization for Economic Cooperation and Development (OECD) [33]. The adult nonpregnant nulliparous female rats of albino specie with intact skin, weighing 230-250 g, were arbitrarily selected. Animals were adjusted to the laboratory environment for at least five days before proceeding to the test in standard conditions of temperature and relative humidity. All animals were given water and feed during the experiment. The dorsal area of the trunk of the animals was shaved to remove fur at least 24 hours before the test.The plant extract at a dose of 2000 mg/kg body weight was applied evenly over the uncontaminated clean skin of each rat. A porous gauze dressing and nonirritating tape was used to cover the area throughout the 24 h treatment exposure. The similar procedure was used for the control group treated with vehicle. Both groups were observed frequently on the first day and then a vigilant clinical analysis was done at least once every day for a total of 14 days. After the exposure time ends, the residual extract was carefully removed with water and observed for any sign of the local skin reaction. The cage side interpretations and weights of the animals were also examined.


### 2.7. Animal Grouping

The rats of any sex with weight ranging from 200 to 250 g were attained from the animal house of the Department of Pharmacology, Government College University Faisalabad and placed in four groups each of five rats (n=5). Before the commencement of study, the test animals were familiarized with the laboratory surroundings for fourteen days and given typical diet and water ad libitum. Group 1 was served with the blank ointment formulation which served as reference control, group 2 was treated with the standard gentamycin ointment (0.1%), and groups 3 and 4 were treated with the ointment batches containing 10% and 20% CaME. Excision wound was made of 177 mm2 area and 2 mm thickness with a round seal in rats preanesthetized with ketamine and xylazine according to previous method [34].The experimental research was conducted after receiving approval from the Institutional Review Board (Reference No. GCUF/ERC/1981; 27-6-2018) of the Government College University, Faisalabad, Pakistan, and the experiments were conducted according to the regulations of the Institute of Laboratory Animal Resources, Commission on Life Sciences, National Research Council, Washington DC, USA (1996).


### 2.8. Excisional Wound Model

British Pharmacopoeia (B.P.) grade petroleum jelly was used to prepare ointment formulations of gentamycin (0.1%) andCaME (10 and 20%) while plain petroleum jelly was used as a blank. A 15 mm diameter of the round ethanolic seal was applied to the margins of the depilated central trunk for sterilization. The wound excision was performed under I.V. anesthesia of ketamine (120 mg/kg body weight). The skin was removed from marked area via infliction to obtain a wound having approximately 177 mm2 diameter. A complete hemostasis was achieved by blotting the wound with a cotton swab soaked in warm normal saline. The topical application of test and control ointments was performed at 24 h intervals until the complete wound closure. The wound area was measured with a luminous paper and afterwards estimated on a graph page every 4th day up to completion of epithelialization and wound closing was measured [35].The two parameters for wound healing are percentage wound contraction rate and epithelialization period. Percent wound contraction was measured using the following formula:(4)Percentagewoundcontraction=Intialwoundsize−WoundsizeonaspecificdayIntialwoundsize×100.As epithelialization takes days, so wound epithelialization was done for several days until there was the fall of scale with no raw wound behind. Histopathological study of the skin tissues using hematoxylin-eosin staining was performed for the further wound study [36].


### 2.9. Statistical Analysis

The results were stated asmean±standarddeviation (S.D). Antioxidant activities of CaME were evaluated by one-way ANOVA. Data pertaining to percentage wound contraction were investigated by two-way ANOVA followed by Tukey’s post hoc test using GraphPad Prism software version 7.0.


### 2.10. Molecular Modeling Studies

To discover the binding manner and molecular interactions of identified compounds with therapeutic targets, molecular docking studies were active using AutoDock Vina with default settings and parameters [37]. The X-ray-resolved crystal structures of potential targets, including TGF-β complexed with staurosporine (PDB ID: 5E8W) [38] and GSK-3β complexed with N-(6-(3,4-dihydroxyphenyl)-1H-pyrazolo[3,4-b]pyridine-3-yl)acetamide; B4K) (PDB ID: 5OY4) [39], were retrieved from the PDB with good resolution and R-free factor. For β-catenin and c-myc, a complex structure of β-catenin with hTcf-4 (PDB ID: 1JDH) [40] and c-myc-max recognizing DNA (PDB ID: 1NKP) [41] crystal structures were extracted from the PDB.For structural analysis, cocrystallized ligands were divided from the equivalent proteins and redocked another time to compute the root mean square deviation (RMSD) of docked and cocrystallized ligand for the reliability of an AutoDock Vina protocol [37]. Since no cocrystallized ligand was reported against β-catenin and c-myc, previously high-throughput screening studies were considered to study the binding pockets. For β-catenin, binding pocket residues reported to interact with Tcf-4 (PDB IDs: 1JPW and 1JDH) [42] were selected to generate a reliable docking grid, whereas the region Arg363-Ile381 along with the loop Pro382-Lys392 of c-myc was defined as the active site for ligand binding, as reported in previous molecular modeling studies [43, 44]. The respective binding sites were used for molecular docking procedure. The general docking procedure of protein preparation and its minimization and optimization have been described elsewhere [27, 45, 46]. The molecular structures of identified active compounds were produced by ChemDraw Professional (v. 16.0). AutoDockTools was used to merge nonpolar hydrogens and add Gasteiger charges, docked complexes were inspected utilizing UCSF Chimera (v. 13) [47], and 2D molecular interactions were examined using ligplot [48].The dynamic stability of the binding pose with respect to time was investigated via MD simulations over a period of 10 nanoseconds (ns). All MD simulations were performed using AMBER 16 simulation package [49]. After minimization and equilibration protocols, the simulated system with explicit solvent molecules (TIP3) was submitted to a production run of 10 ns under standard temperature (300 K) and pressure (1 bar). We applied the same MD simulation procedure as defined in prior studies [24]. For the trajectory analysis, the CPPTRAJ module of AMBER 16 [50] was collected with a time interval of 2 picoseconds (ps).


## 2.1. Collection of Plant and Its Authentication

The stem portion ofC. arvensis was collected (March 2018) and recognized, and its authenticity was approved by the taxonomist Dr. Mansoor Hameed (Botany Department, University of Agriculture Faisalabad), and a voucher specimen (244-2-18) was deposited in the herbarium.


## 2.2. Preparation of Methanol Extract

To prepare the methanolic extract ofC. arvensis stem (CaME), the fresh stem was shade dried and powdered by means of an electric mixer. The powder weighing 50 g was macerated in 100 mL methanol for 20 hours at standard room temperature. The mixture was then passed through a fine muslin cloth following its filtration through Whatman No. 1 filter paper. The remainder filtrate was dried on a rotary evaporator at 40°C under vacuum to evaporate the organic solvent and then freeze-dried for complete dryness [29, 30].


## 2.3. HPLC Analysis

For quantification of phenolic compounds, analytical HPLC system (Shimadzu Corporation, Kyoto, Japan) consisting of LC-10AT pump, UV visible detector SPD-10-AV, and CLC-ODS Shim-pack C18 column (250mm×4.6mm, 5 μm) was used. The data acquisition was performed using CSW32 software. The HPLC grade water, acetic acid, and acetonitrile were used as mobile phases. The separation was carried out by using acetic acid (1 M, pH 2.3) as solvent A and acetonitrile as solvent B (0−15min=15% B, 15−30min=45% B, and 30−45min=100% B). The elution was carried out at 25°C with the flow rate of 1 mL/min. The volume injection was 10 μL, and 280 nm was selected as the detector wavelength. The peaks were identified with respect to the retention time, and the concentrations were calculated by comparing with the corresponding standard curve [31].


## 2.4. GC-MS Analysis

The GC-MS analysis was performed on Agilent 6890 GC system coupled with an Agilent 5973N MSD operational at 70 eV. The ion source temperature was kept 200°C along with split inoculation (1μL injection volume, split ratio 50 : 1). HP-5MS-fused silica capillary column (30m×0.25mmID×0.25μm film, Agilent J&W, USA) was used. The oven temperature was varied from 100 to 275°C at 10°C/min for 20 min. As a carrier, helium gas was used at a continuous flow rate of 1 mL/min; data acquisition was done by Agilent GC/MSD CS Version D.02.00. The identification of C. arvensis constituents was based on the direct association of the retention times and mass spectral records with standard compounds and NIST/EPA/NIH mass spectral library stored on computer [14].


## 2.5. Antioxidant Assays

The 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity, hydrogen peroxide (H2O2) scavenging assay, and ferric reducing power assay of CaME were performed according to the published protocols with minor modifications [29]. For a fair comparison, test extract or standard ascorbic acid solutions (1 mg/mL) were mixed with reagent solutions to achieve an absolute concentration of 0.2 mg/mL in every case.


### 2.5.1. DPPH Assay

Methanolic solutions ofCaME test sample (1 mg/mL), ascorbic acid (1 mg/mL) as standard, and DPPH (0.3 mmol/L) were used. The test sample or ascorbic acid solution was mixed with DPPH solution (1 : 4) and incubated for half an hour at room temperature in darkness, and absorbance was noted at 517 nm. The control solution contained methanol and DPPH solution (1 : 4). The percentage of DPPH radical scavenging activity was evaluated with the following relation:
(1)InhibitionofDPPHradical%=Ac−AtAc×100,where Ac is the absorbance of the control and At is the absorbance of the test sample. The experiment was repeated triple times with results represented as mean±S.D.


### 2.5.2. FRAP

The ferric reducing antioxidant potential (FRAP) ofCaME was measured in a manner described by Benzie and Strain [32]. CaME and standard ascorbic acid solutions (1 mg/mL) were prepared in phosphate buffer (50 mmol/L, pH 6.7) and mixed with 1% w/v potassium ferricyanide (1 : 3.5) and were centrifuged for 10 min at 3000 rpm. The supernatant was mixed with 0.1% w/v FeCl3 (1 : 0.1) and the absorbance was measured at 593 nm. The control was prepared by adding potassium ferricyanide and FeCl3 to the blank phosphate buffer in a similar way. The ferric reducing power was calculated using the following relation:
(2)FerricreducingantioxidantpotentialFRAP%=Ac−AtAc×100,where Ac describes the absorbance of the control and At is the absorbance of the testing sample. The experiment was performed in triplicate and outcomes were represented at mean±S.D.


### 2.5.3. H2O2 Scavenging Assay

The phosphate buffer (50 mmol/L, pH 7.3) was used to prepare 40 mmol/L H2O2 solution. The confirmation of concentration of the prepared solution was done by taking the absorbance at 230 nm. CaME and standard ascorbic acid solutions (1 mg/mL) were prepared in distilled water. The test sample and H2O2 solutions were mixed (1 : 4) and absorbance was determined at 230 nm after 10 min. The phosphate buffer solution minus H2O2 was used as black and the % of H2O2 scavenging was calculated using the following relation:
(3)Hydrogenperoxidescavenged%=Ac−AtAc×100,where Ac is the absorbance of the control and At is the test sample absorbance. The experiment was repeated 3 times and results were denoted at mean±S.D.


## 2.5.1. DPPH Assay

Methanolic solutions ofCaME test sample (1 mg/mL), ascorbic acid (1 mg/mL) as standard, and DPPH (0.3 mmol/L) were used. The test sample or ascorbic acid solution was mixed with DPPH solution (1 : 4) and incubated for half an hour at room temperature in darkness, and absorbance was noted at 517 nm. The control solution contained methanol and DPPH solution (1 : 4). The percentage of DPPH radical scavenging activity was evaluated with the following relation:
(1)InhibitionofDPPHradical%=Ac−AtAc×100,where Ac is the absorbance of the control and At is the absorbance of the test sample. The experiment was repeated triple times with results represented as mean±S.D.


## 2.5.2. FRAP

The ferric reducing antioxidant potential (FRAP) ofCaME was measured in a manner described by Benzie and Strain [32]. CaME and standard ascorbic acid solutions (1 mg/mL) were prepared in phosphate buffer (50 mmol/L, pH 6.7) and mixed with 1% w/v potassium ferricyanide (1 : 3.5) and were centrifuged for 10 min at 3000 rpm. The supernatant was mixed with 0.1% w/v FeCl3 (1 : 0.1) and the absorbance was measured at 593 nm. The control was prepared by adding potassium ferricyanide and FeCl3 to the blank phosphate buffer in a similar way. The ferric reducing power was calculated using the following relation:
(2)FerricreducingantioxidantpotentialFRAP%=Ac−AtAc×100,where Ac describes the absorbance of the control and At is the absorbance of the testing sample. The experiment was performed in triplicate and outcomes were represented at mean±S.D.


## 2.5.3. H2O2 Scavenging Assay

The phosphate buffer (50 mmol/L, pH 7.3) was used to prepare 40 mmol/L H2O2 solution. The confirmation of concentration of the prepared solution was done by taking the absorbance at 230 nm. CaME and standard ascorbic acid solutions (1 mg/mL) were prepared in distilled water. The test sample and H2O2 solutions were mixed (1 : 4) and absorbance was determined at 230 nm after 10 min. The phosphate buffer solution minus H2O2 was used as black and the % of H2O2 scavenging was calculated using the following relation:
(3)Hydrogenperoxidescavenged%=Ac−AtAc×100,where Ac is the absorbance of the control and At is the test sample absorbance. The experiment was repeated 3 times and results were denoted at mean±S.D.


## 2.6. Acute Dermal Toxicity Testing

The acute dermal toxicity trial was conducted according to the test guidelines 402 of the Organization for Economic Cooperation and Development (OECD) [33]. The adult nonpregnant nulliparous female rats of albino specie with intact skin, weighing 230-250 g, were arbitrarily selected. Animals were adjusted to the laboratory environment for at least five days before proceeding to the test in standard conditions of temperature and relative humidity. All animals were given water and feed during the experiment. The dorsal area of the trunk of the animals was shaved to remove fur at least 24 hours before the test.The plant extract at a dose of 2000 mg/kg body weight was applied evenly over the uncontaminated clean skin of each rat. A porous gauze dressing and nonirritating tape was used to cover the area throughout the 24 h treatment exposure. The similar procedure was used for the control group treated with vehicle. Both groups were observed frequently on the first day and then a vigilant clinical analysis was done at least once every day for a total of 14 days. After the exposure time ends, the residual extract was carefully removed with water and observed for any sign of the local skin reaction. The cage side interpretations and weights of the animals were also examined.


## 2.7. Animal Grouping

The rats of any sex with weight ranging from 200 to 250 g were attained from the animal house of the Department of Pharmacology, Government College University Faisalabad and placed in four groups each of five rats (n=5). Before the commencement of study, the test animals were familiarized with the laboratory surroundings for fourteen days and given typical diet and water ad libitum. Group 1 was served with the blank ointment formulation which served as reference control, group 2 was treated with the standard gentamycin ointment (0.1%), and groups 3 and 4 were treated with the ointment batches containing 10% and 20% CaME. Excision wound was made of 177 mm2 area and 2 mm thickness with a round seal in rats preanesthetized with ketamine and xylazine according to previous method [34].The experimental research was conducted after receiving approval from the Institutional Review Board (Reference No. GCUF/ERC/1981; 27-6-2018) of the Government College University, Faisalabad, Pakistan, and the experiments were conducted according to the regulations of the Institute of Laboratory Animal Resources, Commission on Life Sciences, National Research Council, Washington DC, USA (1996).


## 2.8. Excisional Wound Model

British Pharmacopoeia (B.P.) grade petroleum jelly was used to prepare ointment formulations of gentamycin (0.1%) andCaME (10 and 20%) while plain petroleum jelly was used as a blank. A 15 mm diameter of the round ethanolic seal was applied to the margins of the depilated central trunk for sterilization. The wound excision was performed under I.V. anesthesia of ketamine (120 mg/kg body weight). The skin was removed from marked area via infliction to obtain a wound having approximately 177 mm2 diameter. A complete hemostasis was achieved by blotting the wound with a cotton swab soaked in warm normal saline. The topical application of test and control ointments was performed at 24 h intervals until the complete wound closure. The wound area was measured with a luminous paper and afterwards estimated on a graph page every 4th day up to completion of epithelialization and wound closing was measured [35].The two parameters for wound healing are percentage wound contraction rate and epithelialization period. Percent wound contraction was measured using the following formula:(4)Percentagewoundcontraction=Intialwoundsize−WoundsizeonaspecificdayIntialwoundsize×100.As epithelialization takes days, so wound epithelialization was done for several days until there was the fall of scale with no raw wound behind. Histopathological study of the skin tissues using hematoxylin-eosin staining was performed for the further wound study [36].


## 2.9. Statistical Analysis

The results were stated asmean±standarddeviation (S.D). Antioxidant activities of CaME were evaluated by one-way ANOVA. Data pertaining to percentage wound contraction were investigated by two-way ANOVA followed by Tukey’s post hoc test using GraphPad Prism software version 7.0.


## 2.10. Molecular Modeling Studies

To discover the binding manner and molecular interactions of identified compounds with therapeutic targets, molecular docking studies were active using AutoDock Vina with default settings and parameters [37]. The X-ray-resolved crystal structures of potential targets, including TGF-β complexed with staurosporine (PDB ID: 5E8W) [38] and GSK-3β complexed with N-(6-(3,4-dihydroxyphenyl)-1H-pyrazolo[3,4-b]pyridine-3-yl)acetamide; B4K) (PDB ID: 5OY4) [39], were retrieved from the PDB with good resolution and R-free factor. For β-catenin and c-myc, a complex structure of β-catenin with hTcf-4 (PDB ID: 1JDH) [40] and c-myc-max recognizing DNA (PDB ID: 1NKP) [41] crystal structures were extracted from the PDB.For structural analysis, cocrystallized ligands were divided from the equivalent proteins and redocked another time to compute the root mean square deviation (RMSD) of docked and cocrystallized ligand for the reliability of an AutoDock Vina protocol [37]. Since no cocrystallized ligand was reported against β-catenin and c-myc, previously high-throughput screening studies were considered to study the binding pockets. For β-catenin, binding pocket residues reported to interact with Tcf-4 (PDB IDs: 1JPW and 1JDH) [42] were selected to generate a reliable docking grid, whereas the region Arg363-Ile381 along with the loop Pro382-Lys392 of c-myc was defined as the active site for ligand binding, as reported in previous molecular modeling studies [43, 44]. The respective binding sites were used for molecular docking procedure. The general docking procedure of protein preparation and its minimization and optimization have been described elsewhere [27, 45, 46]. The molecular structures of identified active compounds were produced by ChemDraw Professional (v. 16.0). AutoDockTools was used to merge nonpolar hydrogens and add Gasteiger charges, docked complexes were inspected utilizing UCSF Chimera (v. 13) [47], and 2D molecular interactions were examined using ligplot [48].The dynamic stability of the binding pose with respect to time was investigated via MD simulations over a period of 10 nanoseconds (ns). All MD simulations were performed using AMBER 16 simulation package [49]. After minimization and equilibration protocols, the simulated system with explicit solvent molecules (TIP3) was submitted to a production run of 10 ns under standard temperature (300 K) and pressure (1 bar). We applied the same MD simulation procedure as defined in prior studies [24]. For the trajectory analysis, the CPPTRAJ module of AMBER 16 [50] was collected with a time interval of 2 picoseconds (ps).


## 3. Results

### 3.1. HPLC Analysis

The HPLC analysis of theCaME showed seven compounds. Ferulic acid was in the highest concentration among all the compounds detected. The compounds were in the following increasing order of concentration: ferulic acid > vanillic acid > cinnamic acid > caffeic acid > p-coumaric acid > gallic acid > quercetin (Table 1).Table 1
HPLC analysis of the methanolic extract ofC. arvensis stem.
Peak no.CompoundRetention time (min)Area (mV.s)Area (%)Amount (ppm)1Quercetin2.8139.8070.50.512Gallic acid4.96734.7281.71.243Caffeic acid12.88065.5613.23.134Vanillic acid13.687101.0014.96.265p-Coumaric acid17.380136.2186.61.566Ferulic acid22.533322.32915.523.737Cinnamic acid24.653127.4646.14.45


### 3.2. GC-MS Analysis

GC-MS analysis ofCaME identified isoeugenol (10.787 min), 2-hexadecylicosan-1-ol (14.635 min), 7-hexadecenoic acid (16.593 min), 1,2-benzenedicarboxylic acid 1,2-bis(7-methyloctyl) ester (19.206 min), and octadecyl-3-(3,5-di-tert-butyl-4-hydroxyphenyl)-propionate (20.939 min). The retention times, exact masses, and chemical formulas of all compounds are shown in Table 2.Table 2
GC-MS analysis of the methanolic extract ofC. arvensis stem.
Peak no.Compound nameRetention time (min)Pharmacological use1Isoeugenol10.787Flavouring agent22-Hexadecylicosan-1-ol14.635For the treatment of blisters or cold sores37-Hexadecenoic acid16.593Anti-inflammatory41,2-Benzenedicarboxylic acid 1,2-bis(7-methyloctyl) ester19.206Thyroid-disrupting agent5Octadecyl 3-(3,5-di-tert-butyl-4-hydroxyphenyl) propionate20.939Antioxidant


### 3.3. Antioxidant Assays

The CaME exhibited notable antioxidant potential (Table 3). CaME induced 21.296% DPPH inhibition, 1.053% FRAP activity, and 2.405% H2O2 scavenging. Standard ascorbic acid exhibited statistically (P<0.0001) higher DPPH inhibition and 59.34% H2O2 scavenging as compared with CaME. The experiments were carried out at the same final concentration of 0.2 mg/mL CaME or ascorbic acid. It is evident that CaME depicted slightly higher FRAP activity, but statistically comparable to the standard. DPPH inhibition of the extract was approximately 4 times lower than the standard and H2O2 scavenging was not significant.Table 3
Antioxidant analysis ofC. arvensis stem methanolic extract (CaME) by 2,2-diphenyl-1-picrylhydrazyl (DPPH), ferric reducing antioxidant power (FRAP), and hydrogen peroxide (H2O2) scavenging assay.
Tested samplesDPPH (% inhibition)FRAP (% activity)H2O2 (% scavenged)CaME21.296±1.223∗∗∗∗1.053±0.112.405±0.127∗∗∗∗Ascorbic acid78.703±4.2450.923±0.20459.340±3.377The triplicate values were expressed asmean±S.D. Results were significant at ∗∗∗∗P<0.0001 with respect to the control group.


### 3.4. Acute Dermal Toxicity

The results from the acute dermal toxicity trial ofCaME produce no mortality during the 14-day observation period. Likewise, no deformities were noticed during gross interpretations on the skin and behavioral patterns. After 1-, 7-, and 14-day postexposure to the extract, there were no signs of edema, erythema, or any signs of toxicity on the skin. The differences in increase of body weight percentage from 0 to 14th day after exposure were also observed insignificant.


### 3.5. Excisional Wound Model

The results of excisional wound healing of different rat groups treated with standard gentamycin (0.1%), 10%CaME, and 20% CaME ointments in comparison with the negative control are described in Table 4. The group treated with 20% CaME had substantially accelerated wound closure resulting in the reduction of the average epithelialization period to 17.6 days compared to the 10% CaME and blank ointment treatments with an average epithelialization periods of 21.6 and 23.4 days, respectively. The percentage of wound contraction of standard and 20% CaME ointment is almost similar as shown in Figure 1. Almost 80% of healing in wound was documented through extract and groups treated by antibiotic for 12 days. Although 100% healing was obtained in the C. arvensis (20%) ointment and standard group after 16th day, which was significantly different (P<0.0001) from healing percentages in the other extract-treated group, the percentage healing in the control group was significantly lower than that of standard and 20% ointment-treated group.Table 4
Effect of standard drug and methanolic extract fromC. arvensis stem (CaME) on percentage wound contraction and epithelialization period on excision wound in rats.
GroupsWound size (mm2) at different days (% healing)Epithelialization0 d4 d8 d12 d16 d20 dControl177±0.00 (100%)117±2.44 (33.89%)59.8±1.71 (66.21%)35±1.22 (80.22%)26.4±0.98 (85.08%)11.6±0.83 (93.42%)23.4Standard177±0.00 (100%)113±0.00∗∗∗∗ (36.15%)54.2±1.71∗∗∗∗ (69.37%)30±1.22∗∗∗∗ (83.05%)0.54±0.14∗∗∗∗ (99.69%)0.00±0.00∗∗∗∗ (100%)17.210%CaME177±0.00 (100%)139±2.44∗∗∗∗ (21.46%)70±3.64∗∗∗∗#### (60.45%)35±1.22#### (78.53%)28±0.00#### (84.18%)7.1±0.00∗∗∗∗#### (95.98%)21.620%CaME177±0.00 (100%)119±2.44∗ (32.76%)41.6±1.47∗∗∗∗#### (76.49%)22.4±0.98∗∗∗∗#### (87.34%)1.18±0.25∗∗∗∗ (99.33%)0.00±0.00∗∗∗∗ (100%)17.6The values are expressed asmean±standarderror (n=05) in each group. The results were significant at ∗∗∗∗P<0.0001 and ∗P<0.05 with respect to the control group and ####P<0.0001 with respect to standard therapy.Figure 1
Pictorial representation of the wound healing process up to day 20 treated with standard, 10%, and 20%CaME ointment and control group.Moreover, a histopathology study of the 20%CaME ointment treated group exhibited significant healing as compared to the control group (Figure 2). It is visible that the skin architecture of standard gentamycin and 20% CaME treatments was similar after 17 days.Figure 2
Histopathological results of healed skin on 17th day postwounding. (a) Negative control group, (b) ointment containing 10%CaME, (c) standard gentamycin group, and (d) ointment containing 20% CaME.
(a)(b)(c)(d)


### 3.6. Molecular Modeling Interpretations

The most representative conformation of ligands from the highest cluster was selected as the best docking pose inside the binding pocket ofβ-catenin and c-myc. The predicted binding affinities of identified active compounds of C. arvensis are tabulated in Table 5. The docking study revealed fairly good binding affinities against all four targets, including GSK-3β, TGF-β, β-catenin, and c-myc ranging from -8.1 to -5.1 kcal/mol, -9.2 to -6.1 kcal/mol, -6.5 to -5 kcal/mol, and -6.8 to -4.9 kcal/mol, respectively. Among all active compounds, quercetin and 1,2-benzenedicarboxylic acid 1,2-bis(7-methyloctyl) ester designated as cmd1 and cmd2, respectively, were ranked top 2. These compounds showed significant binding affinities against GSK-3β (-8.1 and -6.5 kcal/mol), TGF-β (-9.2 and -7.4 kcal/mol), β-catenin (-8.1 and -7.8 kcal/mol), and c-myc (-7.4 and -6.7 kcal/mol). The stability of both compounds, as being the highest binding affinities, inside the binding groove of all four targets was estimated using MD simulations to analyze the RMSD over a period of 10 ns. The overall binding interaction analysis with corresponding proteins together with their cocrystallized ligands is displayed in Figures 3–6.Table 5
Binding affinities (in kcal/mol) isolated compounds from the methanolic extract ofC. arvensis stem as calculated from AutoDock Vina.
Compoundc-mycβ-CateninTGF-βGSK-3βQuercetin-6.8-6.5-9.2-8.11,2-Benzenedicarboxylic acid 1,2-bis(7-methyloctyl) ester-6.3-6.2-7.4-6.5Cinnamic acid-5.7-5.9-6.2-5.6Caffeic acid-5.4-5.8-6.4-5.9Ferulic acid-5.2-5.8-6.7-5.8Isoeugenol-5.2-5-6.7-5.7p-Coumaric acid-5.1-5-6.2-5.97-Hexadecenoic acid-5.1-5.1-6.2-5.4Octadecyl 3-(3,5-di-tert-butyl-4-hydroxyphenyl) propionate-5-5.2-6.9-5.5Gallic acid-5-5.2-6-5Vanillic acid-4.9-5.2-6.9-5.42-Hexadecylicosan-1-ol-4.9-5.8-6.1-5.1Figure 3
Molecular modeling analysis of cmd1 (quercetin). (a) The favorable docked conformation of cmd1 (grey stick) together with cocrystallized staurosporine (yellow stick) (PDB ID: 5E8W) inside the binding pocket of TGF-β. (b) The same representation of quercetin complexed with GSK-3β together with a cocrystallized B4K (PDB ID: 5OY4). (c) Root mean square deviation of TGF-β/cmd1 and GSK-3β/cmd1 (d) over a period of 10 ns molecular dynamic simulations. (e) 2D-ligplot molecular interaction analysis of TGF-β/cmd1 and GSK-3β/cmd1 (f) after MD simulation together with corresponding cocrystallized complexes. The hydrogen interacting residues (labeled green) are displayed in stick and hydrophobic interacting residues (labeled black) are highlighted with red spoked arcs, and the distance for H-bonds are highlighted in Angstrom Å (default set<3Å).
(a)(b)(c)(d)(e)(f)Figure 4
Molecular modeling analysis of cmd1 (quercetin). (a) The favorable docked conformation of cmd1 (grey stick) inside the binding pocket ofβ-catenin. (b) The same representation of quercetin complexed with c-myc. (c) Root mean square deviation of β-catenin/cmd1 and c-myc/cmd1 (d) over a period of 10 ns molecular dynamic simulations. (e) 2D-ligplot molecular interaction analysis of β-catenin/cmd1 and c-myc/cmd1 (f) after MD simulation. The hydrogen interacting residues (labeled green) are displayed in stick and hydrophobic interacting residues (labeled black) are highlighted with red spoked arcs, and the distance for H-bonds are highlighted in Angstrom Å (default set<3Å).
(a)(b)(c)(d)(e)(f)Figure 5
Molecular modeling analysis of cmd2 (1,2-benzenedicarboxylic acid 1,2-bis(7-methyloctyl)). (a) The favorable docked conformation of cmd2 (grey stick) together with cocrystallized staurosporine (yellow stick) (PDB ID: 5E8W) inside the binding pocket of TGF-β. (b) The same representation of cmd2 complexed with GSK-3β together with a cocrystallized B4K (PDB ID: 5OY4). (c) Root mean square deviation of TGF-β/cmd2 and GSK-3β/cmd2 (d) over a period of 10 ns molecular dynamic simulations. (e) 2D-ligplot molecular interaction analysis of TGF-β/cmd2 and GSK-3β/cmd2 (f) after MD simulation together with corresponding cocrystallized complexes. The hydrogen interacting residues (labeled green) are displayed in stick and hydrophobic interacting residues (labeled black) are highlighted with red spoked arcs, and the distance for H-bonds are highlighted in Angstrom Å (default set<3Å).
(a)(b)(c)(d)(e)(f)Figure 6
Molecular modeling analysis of cmd2 (1,2-benzenedicarboxylic acid 1,2-bis(7-methyloctyl)). (a) The favorable docked conformation of cmd1 (grey stick) inside the binding pocket ofβ-catenin. (b) The same representation of quercetin complexed with c-myc. (c) Root mean square deviation of β-catenin/cmd1 and c-myc/cmd1 (d) over a period of 10 ns molecular dynamic simulations. (e) 2D-ligplot molecular interaction analysis of β-catenin/cmd1 and c-myc/cmd1 (f) after MD simulation. The hydrogen interacting residues (labeled green) are displayed in stick and hydrophobic interacting residues (labeled black) are highlighted with red spoked arcs, and the distance for H-bonds are highlighted in Angstrom (Å) (default set<3Å).
(a)(b)(c)(d)(e)(f)


### 3.7. Binding Interactions of cmd1 (Quercetin)

Overall, the binding pose of quercetin was deeply found in the binding pocket organized along parallel cocrystallized staurosporine [38] and N-(6-(3,4-dihydroxyphenyl)-1H-pyrazolo[3,4-b]pyridine-3-yl) acetamide (B4K) [39] in TGF-β and GSK-3β, respectively (Figures 3(a) and 3(b)). The generated RMSD plot of TGF-β during the entire simulation period of 10 ns revealed the stability of quercetin within the binding pocket followed by small fluctuations in the start (Figure 3(c)) and Cα-backbone stability of TGF-β which also remain converged between ~1 Å, whereas quercetin showed small initial fluctuations inside the binding pocket of GSK-3β which also triggered some dynamic impact on backbone atoms of protein; however, later, the complex remained stable from 4 to 10 ns as seen in Figure 3(d). In complex with β-catenin and c-myc for the duration of 10 ns simulation period as displayed in Figure 4, quercetin stayed constant inside the binding pocket β-catenin/quercetin showing Cα-backbone stability, whereas quercetin elicited higher fluctuations in Cα-backbone of c-myc.The 2-dimensional interaction study after 10 ns discovered the influence of hydroxyl groups of quercetin in establishing H-bonds (<3 Å distance), and most residues were interacted over hydrophobic interfaces, lining the binding position of TGF-β and GSK-3β, respectively. As seen in the binding pose of quercetin with both proteins (Figures 3(e) and 3(f)), the 3′ and 4′-hydroxyl group of dihydroxyphenyl moiety established H-bonds with sidechain OE2 atom of Glu245 (2.70 Å), backbone N atom of Lys232 (2.61 Å) in TGF-β, and sidechain OD2 atom of Asp200 (2.21 Å) in GSK-3β. Moreover, tetrahydroxychromen-4-one moiety was bound deep inside the groove with the hydroxyl group hydrogen-bonded to three adjacent residues, Ser280 (2.38 Å), Asp281 (2.02 Å) and His283 (2.45 Å) of TGF-β, and Asp200 (2.29 Å) of GSK-3β. Other than H-bonds, a huge number of conserved nonhydrophilic interactions were also detected in TGF-β/cmd1 (Figure 3(e)) and GSK-3β/cmd1 (Figure 3(f)) complexes.Similarly, quercetin established H-bonds mainly through terminal hydroxyl groups in complexβ-catenin and c-myc. Figures 4(e) and 4(f) showed that 3′ and a 4′-hydroxyl group of dihydroxyphenyl moiety established H-bonds with sidechain NE2 and NE atom of Gln302 (2.70 Å) and Arg342 (1.98 Å) in β-catenin and backbone O and N atom of Arg914 (2.32 Å) and Lys918 (2.01 Å) in c-myc, whereas tetrahydroxychromen-4-one moiety established a network of hydrogen bonds with two adjacent arginines, Asp213 (2.61 Å), Arg914 (2.88 Å), and one nearby Glu910 (1.96 Å) of c-myc. Along with H-bonds, enormous amount of hydrophobic interactions was also witnessed in β-catenin/quercetin (Figure 4(e)) and c-myc/quercetin (Figure 4(f)) complexes.


### 3.8. Binding Interactions with cmd2

Likewise, the cmd2 was present deep within the binding pocket along with parallel cocrystallized staurosporine [38] and B4K [39] in TGF-β and GSK-3β, respectively (Figures 5(a) and 5(b)). The RMSD trajectory plot showed the stability of cmd2 inside the binding pocket followed by the convergence of Cα-backbone stability of TGF-β between ~0.5 Å from 3 to 10 ns (Figure 5(c)). However, cmd2 complexed with GSK-3 experienced some fluctuations in proteins’ backbone atoms but converged between ~1.25 Å throughout the simulation (Figure 5(d)). The RMSD deviation in GSK-3 β/cmd2 complex was evident from the flexibility resulted in the open conformation of bis-7-methyloctyl ester (Figure 5(b)) to attain a more favorable conformation inside the pocket which triggered fluctuations in protein backbone. Likewise, in complex with β-catenin and c-myc, cmd2 remained stable internally in the binding pocket for the duration of whole simulation phase (Figures 6(a) and 6(b)) but showed slight fluctuations due to the open conformation of bis-7-methyloctyl ester (Figures 6(c) and 6(d)). β-catenin/cmd2 showed Cα-backbone stability, whereas cmd2 elicited fluctuations in c-myc Cα-backbone.Further insight into the molecular interactions of cmd2 with both targets, it was found that the benzenedicarboxylic acid interacted mainly through H-bonds while bis-7-methyloctyl ester interacted through a large number of hydrophobic interactions (Figures5(e) and 5(f)). The oxygen atom of benzenedicarboxylic acid established an H-bond with the backbone nitrogen atom of Ser287 (2.45 Å) in TGF-β and sulfur atoms of Cys199 (2.20 Å) in GSK-3β, whereas both residues showed hydrophobic interactions with their corresponding cocrystallized ligands [38, 39]. The long bis-7-methyloctyl ester of cmd2 established a large network of conserved hydrophobic interaction in TGF-β (Figure 5(e)) which anticipated stable conformation of cmd2 inside the binding pocket (Figure 4(c)) as compared to GSK-3β/cmd2 with lesser hydrophobic interactions and experienced open conformation (Figure 5(f)).Likewise, in TGF-β and GSK-3β, cmd2 showed a similar interaction pattern in β-catenin and c-myc. Figures 6(e) and 6(f) show that the oxygen atoms of benzenedicarboxylic acid established H-bonds with the sidechain N and OH atoms of Lys345 (2.66 Å) and Tyr306 (2.51 Å) in complex with β-catenin, whereas the benzenedicarboxylic acid established two H-bonds with N atom of Lys939 (2.44 Å and 1.97 Å) and one H-bond with sidechain N atom of Lys918 (2.11 Å) in complex with c-myc. Along with H-bonds, the long bis-7-methyloctyl ester of cmd2 established a large network of hydrophobic interaction with β-catenin (Figure 6(e)) and c-myc (Figure 6(f)), which somewhat anticipated the stability of cmd2 in the respective binding pockets.For both compounds, the binding site residues interacted in a similar way as seen in cocrystallized complexes, TGF-β/staurosporine (Figure 3(e)) [38] and GSK-3/B4K (Figure 3(f)) [39], and other reported cocrystallized bound inhibitors of TGF-β [51] and GSK-3 [52, 53], respectively. For example, in TGF-β/cmd1 complex, hydrogen-bonded oxygen atoms of Ser280 and Asp281 and backbone nitrogen atom of His283 were conserved as reported in TGF-β/staurosporine [38] together with other hydrophobic interactions including Gly212, Leu340, Ile211, Gly286, Ala230, Leu260, Lys232, and Val219 (Figure 3(e)), likewise in TGF-β/cmd2, which interacted mainly through hydrophobic interactions (Figure 5(e)), whereas the 1H-pyrazolo[3,4-b]pyridine rings of cocrystallized-bound ligand (B4K) of GSK-3 superimposed exactly on tetrahydroxychromen-4-one moiety of quercetin and evidenced conserved hydrophobic interactions with residues, Ala83, Tyr134, Val135 (which interacted through H-bond with B4K), and Leu188 (Figure 3(f)). Likewise, several conserved hydrophobic interactions were observed in GSK-3β/cmd2 (Figure 5(f)).


## 3.1. HPLC Analysis

The HPLC analysis of theCaME showed seven compounds. Ferulic acid was in the highest concentration among all the compounds detected. The compounds were in the following increasing order of concentration: ferulic acid > vanillic acid > cinnamic acid > caffeic acid > p-coumaric acid > gallic acid > quercetin (Table 1).Table 1
HPLC analysis of the methanolic extract ofC. arvensis stem.
Peak no.CompoundRetention time (min)Area (mV.s)Area (%)Amount (ppm)1Quercetin2.8139.8070.50.512Gallic acid4.96734.7281.71.243Caffeic acid12.88065.5613.23.134Vanillic acid13.687101.0014.96.265p-Coumaric acid17.380136.2186.61.566Ferulic acid22.533322.32915.523.737Cinnamic acid24.653127.4646.14.45


## 3.2. GC-MS Analysis

GC-MS analysis ofCaME identified isoeugenol (10.787 min), 2-hexadecylicosan-1-ol (14.635 min), 7-hexadecenoic acid (16.593 min), 1,2-benzenedicarboxylic acid 1,2-bis(7-methyloctyl) ester (19.206 min), and octadecyl-3-(3,5-di-tert-butyl-4-hydroxyphenyl)-propionate (20.939 min). The retention times, exact masses, and chemical formulas of all compounds are shown in Table 2.Table 2
GC-MS analysis of the methanolic extract ofC. arvensis stem.
Peak no.Compound nameRetention time (min)Pharmacological use1Isoeugenol10.787Flavouring agent22-Hexadecylicosan-1-ol14.635For the treatment of blisters or cold sores37-Hexadecenoic acid16.593Anti-inflammatory41,2-Benzenedicarboxylic acid 1,2-bis(7-methyloctyl) ester19.206Thyroid-disrupting agent5Octadecyl 3-(3,5-di-tert-butyl-4-hydroxyphenyl) propionate20.939Antioxidant


## 3.3. Antioxidant Assays

The CaME exhibited notable antioxidant potential (Table 3). CaME induced 21.296% DPPH inhibition, 1.053% FRAP activity, and 2.405% H2O2 scavenging. Standard ascorbic acid exhibited statistically (P<0.0001) higher DPPH inhibition and 59.34% H2O2 scavenging as compared with CaME. The experiments were carried out at the same final concentration of 0.2 mg/mL CaME or ascorbic acid. It is evident that CaME depicted slightly higher FRAP activity, but statistically comparable to the standard. DPPH inhibition of the extract was approximately 4 times lower than the standard and H2O2 scavenging was not significant.Table 3
Antioxidant analysis ofC. arvensis stem methanolic extract (CaME) by 2,2-diphenyl-1-picrylhydrazyl (DPPH), ferric reducing antioxidant power (FRAP), and hydrogen peroxide (H2O2) scavenging assay.
Tested samplesDPPH (% inhibition)FRAP (% activity)H2O2 (% scavenged)CaME21.296±1.223∗∗∗∗1.053±0.112.405±0.127∗∗∗∗Ascorbic acid78.703±4.2450.923±0.20459.340±3.377The triplicate values were expressed asmean±S.D. Results were significant at ∗∗∗∗P<0.0001 with respect to the control group.


## 3.4. Acute Dermal Toxicity

The results from the acute dermal toxicity trial ofCaME produce no mortality during the 14-day observation period. Likewise, no deformities were noticed during gross interpretations on the skin and behavioral patterns. After 1-, 7-, and 14-day postexposure to the extract, there were no signs of edema, erythema, or any signs of toxicity on the skin. The differences in increase of body weight percentage from 0 to 14th day after exposure were also observed insignificant.


## 3.5. Excisional Wound Model

The results of excisional wound healing of different rat groups treated with standard gentamycin (0.1%), 10%CaME, and 20% CaME ointments in comparison with the negative control are described in Table 4. The group treated with 20% CaME had substantially accelerated wound closure resulting in the reduction of the average epithelialization period to 17.6 days compared to the 10% CaME and blank ointment treatments with an average epithelialization periods of 21.6 and 23.4 days, respectively. The percentage of wound contraction of standard and 20% CaME ointment is almost similar as shown in Figure 1. Almost 80% of healing in wound was documented through extract and groups treated by antibiotic for 12 days. Although 100% healing was obtained in the C. arvensis (20%) ointment and standard group after 16th day, which was significantly different (P<0.0001) from healing percentages in the other extract-treated group, the percentage healing in the control group was significantly lower than that of standard and 20% ointment-treated group.Table 4
Effect of standard drug and methanolic extract fromC. arvensis stem (CaME) on percentage wound contraction and epithelialization period on excision wound in rats.
GroupsWound size (mm2) at different days (% healing)Epithelialization0 d4 d8 d12 d16 d20 dControl177±0.00 (100%)117±2.44 (33.89%)59.8±1.71 (66.21%)35±1.22 (80.22%)26.4±0.98 (85.08%)11.6±0.83 (93.42%)23.4Standard177±0.00 (100%)113±0.00∗∗∗∗ (36.15%)54.2±1.71∗∗∗∗ (69.37%)30±1.22∗∗∗∗ (83.05%)0.54±0.14∗∗∗∗ (99.69%)0.00±0.00∗∗∗∗ (100%)17.210%CaME177±0.00 (100%)139±2.44∗∗∗∗ (21.46%)70±3.64∗∗∗∗#### (60.45%)35±1.22#### (78.53%)28±0.00#### (84.18%)7.1±0.00∗∗∗∗#### (95.98%)21.620%CaME177±0.00 (100%)119±2.44∗ (32.76%)41.6±1.47∗∗∗∗#### (76.49%)22.4±0.98∗∗∗∗#### (87.34%)1.18±0.25∗∗∗∗ (99.33%)0.00±0.00∗∗∗∗ (100%)17.6The values are expressed asmean±standarderror (n=05) in each group. The results were significant at ∗∗∗∗P<0.0001 and ∗P<0.05 with respect to the control group and ####P<0.0001 with respect to standard therapy.Figure 1
Pictorial representation of the wound healing process up to day 20 treated with standard, 10%, and 20%CaME ointment and control group.Moreover, a histopathology study of the 20%CaME ointment treated group exhibited significant healing as compared to the control group (Figure 2). It is visible that the skin architecture of standard gentamycin and 20% CaME treatments was similar after 17 days.Figure 2
Histopathological results of healed skin on 17th day postwounding. (a) Negative control group, (b) ointment containing 10%CaME, (c) standard gentamycin group, and (d) ointment containing 20% CaME.
(a)(b)(c)(d)


## 3.6. Molecular Modeling Interpretations

The most representative conformation of ligands from the highest cluster was selected as the best docking pose inside the binding pocket ofβ-catenin and c-myc. The predicted binding affinities of identified active compounds of C. arvensis are tabulated in Table 5. The docking study revealed fairly good binding affinities against all four targets, including GSK-3β, TGF-β, β-catenin, and c-myc ranging from -8.1 to -5.1 kcal/mol, -9.2 to -6.1 kcal/mol, -6.5 to -5 kcal/mol, and -6.8 to -4.9 kcal/mol, respectively. Among all active compounds, quercetin and 1,2-benzenedicarboxylic acid 1,2-bis(7-methyloctyl) ester designated as cmd1 and cmd2, respectively, were ranked top 2. These compounds showed significant binding affinities against GSK-3β (-8.1 and -6.5 kcal/mol), TGF-β (-9.2 and -7.4 kcal/mol), β-catenin (-8.1 and -7.8 kcal/mol), and c-myc (-7.4 and -6.7 kcal/mol). The stability of both compounds, as being the highest binding affinities, inside the binding groove of all four targets was estimated using MD simulations to analyze the RMSD over a period of 10 ns. The overall binding interaction analysis with corresponding proteins together with their cocrystallized ligands is displayed in Figures 3–6.Table 5
Binding affinities (in kcal/mol) isolated compounds from the methanolic extract ofC. arvensis stem as calculated from AutoDock Vina.
Compoundc-mycβ-CateninTGF-βGSK-3βQuercetin-6.8-6.5-9.2-8.11,2-Benzenedicarboxylic acid 1,2-bis(7-methyloctyl) ester-6.3-6.2-7.4-6.5Cinnamic acid-5.7-5.9-6.2-5.6Caffeic acid-5.4-5.8-6.4-5.9Ferulic acid-5.2-5.8-6.7-5.8Isoeugenol-5.2-5-6.7-5.7p-Coumaric acid-5.1-5-6.2-5.97-Hexadecenoic acid-5.1-5.1-6.2-5.4Octadecyl 3-(3,5-di-tert-butyl-4-hydroxyphenyl) propionate-5-5.2-6.9-5.5Gallic acid-5-5.2-6-5Vanillic acid-4.9-5.2-6.9-5.42-Hexadecylicosan-1-ol-4.9-5.8-6.1-5.1Figure 3
Molecular modeling analysis of cmd1 (quercetin). (a) The favorable docked conformation of cmd1 (grey stick) together with cocrystallized staurosporine (yellow stick) (PDB ID: 5E8W) inside the binding pocket of TGF-β. (b) The same representation of quercetin complexed with GSK-3β together with a cocrystallized B4K (PDB ID: 5OY4). (c) Root mean square deviation of TGF-β/cmd1 and GSK-3β/cmd1 (d) over a period of 10 ns molecular dynamic simulations. (e) 2D-ligplot molecular interaction analysis of TGF-β/cmd1 and GSK-3β/cmd1 (f) after MD simulation together with corresponding cocrystallized complexes. The hydrogen interacting residues (labeled green) are displayed in stick and hydrophobic interacting residues (labeled black) are highlighted with red spoked arcs, and the distance for H-bonds are highlighted in Angstrom Å (default set<3Å).
(a)(b)(c)(d)(e)(f)Figure 4
Molecular modeling analysis of cmd1 (quercetin). (a) The favorable docked conformation of cmd1 (grey stick) inside the binding pocket ofβ-catenin. (b) The same representation of quercetin complexed with c-myc. (c) Root mean square deviation of β-catenin/cmd1 and c-myc/cmd1 (d) over a period of 10 ns molecular dynamic simulations. (e) 2D-ligplot molecular interaction analysis of β-catenin/cmd1 and c-myc/cmd1 (f) after MD simulation. The hydrogen interacting residues (labeled green) are displayed in stick and hydrophobic interacting residues (labeled black) are highlighted with red spoked arcs, and the distance for H-bonds are highlighted in Angstrom Å (default set<3Å).
(a)(b)(c)(d)(e)(f)Figure 5
Molecular modeling analysis of cmd2 (1,2-benzenedicarboxylic acid 1,2-bis(7-methyloctyl)). (a) The favorable docked conformation of cmd2 (grey stick) together with cocrystallized staurosporine (yellow stick) (PDB ID: 5E8W) inside the binding pocket of TGF-β. (b) The same representation of cmd2 complexed with GSK-3β together with a cocrystallized B4K (PDB ID: 5OY4). (c) Root mean square deviation of TGF-β/cmd2 and GSK-3β/cmd2 (d) over a period of 10 ns molecular dynamic simulations. (e) 2D-ligplot molecular interaction analysis of TGF-β/cmd2 and GSK-3β/cmd2 (f) after MD simulation together with corresponding cocrystallized complexes. The hydrogen interacting residues (labeled green) are displayed in stick and hydrophobic interacting residues (labeled black) are highlighted with red spoked arcs, and the distance for H-bonds are highlighted in Angstrom Å (default set<3Å).
(a)(b)(c)(d)(e)(f)Figure 6
Molecular modeling analysis of cmd2 (1,2-benzenedicarboxylic acid 1,2-bis(7-methyloctyl)). (a) The favorable docked conformation of cmd1 (grey stick) inside the binding pocket ofβ-catenin. (b) The same representation of quercetin complexed with c-myc. (c) Root mean square deviation of β-catenin/cmd1 and c-myc/cmd1 (d) over a period of 10 ns molecular dynamic simulations. (e) 2D-ligplot molecular interaction analysis of β-catenin/cmd1 and c-myc/cmd1 (f) after MD simulation. The hydrogen interacting residues (labeled green) are displayed in stick and hydrophobic interacting residues (labeled black) are highlighted with red spoked arcs, and the distance for H-bonds are highlighted in Angstrom (Å) (default set<3Å).
(a)(b)(c)(d)(e)(f)


## 3.7. Binding Interactions of cmd1 (Quercetin)

Overall, the binding pose of quercetin was deeply found in the binding pocket organized along parallel cocrystallized staurosporine [38] and N-(6-(3,4-dihydroxyphenyl)-1H-pyrazolo[3,4-b]pyridine-3-yl) acetamide (B4K) [39] in TGF-β and GSK-3β, respectively (Figures 3(a) and 3(b)). The generated RMSD plot of TGF-β during the entire simulation period of 10 ns revealed the stability of quercetin within the binding pocket followed by small fluctuations in the start (Figure 3(c)) and Cα-backbone stability of TGF-β which also remain converged between ~1 Å, whereas quercetin showed small initial fluctuations inside the binding pocket of GSK-3β which also triggered some dynamic impact on backbone atoms of protein; however, later, the complex remained stable from 4 to 10 ns as seen in Figure 3(d). In complex with β-catenin and c-myc for the duration of 10 ns simulation period as displayed in Figure 4, quercetin stayed constant inside the binding pocket β-catenin/quercetin showing Cα-backbone stability, whereas quercetin elicited higher fluctuations in Cα-backbone of c-myc.The 2-dimensional interaction study after 10 ns discovered the influence of hydroxyl groups of quercetin in establishing H-bonds (<3 Å distance), and most residues were interacted over hydrophobic interfaces, lining the binding position of TGF-β and GSK-3β, respectively. As seen in the binding pose of quercetin with both proteins (Figures 3(e) and 3(f)), the 3′ and 4′-hydroxyl group of dihydroxyphenyl moiety established H-bonds with sidechain OE2 atom of Glu245 (2.70 Å), backbone N atom of Lys232 (2.61 Å) in TGF-β, and sidechain OD2 atom of Asp200 (2.21 Å) in GSK-3β. Moreover, tetrahydroxychromen-4-one moiety was bound deep inside the groove with the hydroxyl group hydrogen-bonded to three adjacent residues, Ser280 (2.38 Å), Asp281 (2.02 Å) and His283 (2.45 Å) of TGF-β, and Asp200 (2.29 Å) of GSK-3β. Other than H-bonds, a huge number of conserved nonhydrophilic interactions were also detected in TGF-β/cmd1 (Figure 3(e)) and GSK-3β/cmd1 (Figure 3(f)) complexes.Similarly, quercetin established H-bonds mainly through terminal hydroxyl groups in complexβ-catenin and c-myc. Figures 4(e) and 4(f) showed that 3′ and a 4′-hydroxyl group of dihydroxyphenyl moiety established H-bonds with sidechain NE2 and NE atom of Gln302 (2.70 Å) and Arg342 (1.98 Å) in β-catenin and backbone O and N atom of Arg914 (2.32 Å) and Lys918 (2.01 Å) in c-myc, whereas tetrahydroxychromen-4-one moiety established a network of hydrogen bonds with two adjacent arginines, Asp213 (2.61 Å), Arg914 (2.88 Å), and one nearby Glu910 (1.96 Å) of c-myc. Along with H-bonds, enormous amount of hydrophobic interactions was also witnessed in β-catenin/quercetin (Figure 4(e)) and c-myc/quercetin (Figure 4(f)) complexes.


## 3.8. Binding Interactions with cmd2

Likewise, the cmd2 was present deep within the binding pocket along with parallel cocrystallized staurosporine [38] and B4K [39] in TGF-β and GSK-3β, respectively (Figures 5(a) and 5(b)). The RMSD trajectory plot showed the stability of cmd2 inside the binding pocket followed by the convergence of Cα-backbone stability of TGF-β between ~0.5 Å from 3 to 10 ns (Figure 5(c)). However, cmd2 complexed with GSK-3 experienced some fluctuations in proteins’ backbone atoms but converged between ~1.25 Å throughout the simulation (Figure 5(d)). The RMSD deviation in GSK-3 β/cmd2 complex was evident from the flexibility resulted in the open conformation of bis-7-methyloctyl ester (Figure 5(b)) to attain a more favorable conformation inside the pocket which triggered fluctuations in protein backbone. Likewise, in complex with β-catenin and c-myc, cmd2 remained stable internally in the binding pocket for the duration of whole simulation phase (Figures 6(a) and 6(b)) but showed slight fluctuations due to the open conformation of bis-7-methyloctyl ester (Figures 6(c) and 6(d)). β-catenin/cmd2 showed Cα-backbone stability, whereas cmd2 elicited fluctuations in c-myc Cα-backbone.Further insight into the molecular interactions of cmd2 with both targets, it was found that the benzenedicarboxylic acid interacted mainly through H-bonds while bis-7-methyloctyl ester interacted through a large number of hydrophobic interactions (Figures5(e) and 5(f)). The oxygen atom of benzenedicarboxylic acid established an H-bond with the backbone nitrogen atom of Ser287 (2.45 Å) in TGF-β and sulfur atoms of Cys199 (2.20 Å) in GSK-3β, whereas both residues showed hydrophobic interactions with their corresponding cocrystallized ligands [38, 39]. The long bis-7-methyloctyl ester of cmd2 established a large network of conserved hydrophobic interaction in TGF-β (Figure 5(e)) which anticipated stable conformation of cmd2 inside the binding pocket (Figure 4(c)) as compared to GSK-3β/cmd2 with lesser hydrophobic interactions and experienced open conformation (Figure 5(f)).Likewise, in TGF-β and GSK-3β, cmd2 showed a similar interaction pattern in β-catenin and c-myc. Figures 6(e) and 6(f) show that the oxygen atoms of benzenedicarboxylic acid established H-bonds with the sidechain N and OH atoms of Lys345 (2.66 Å) and Tyr306 (2.51 Å) in complex with β-catenin, whereas the benzenedicarboxylic acid established two H-bonds with N atom of Lys939 (2.44 Å and 1.97 Å) and one H-bond with sidechain N atom of Lys918 (2.11 Å) in complex with c-myc. Along with H-bonds, the long bis-7-methyloctyl ester of cmd2 established a large network of hydrophobic interaction with β-catenin (Figure 6(e)) and c-myc (Figure 6(f)), which somewhat anticipated the stability of cmd2 in the respective binding pockets.For both compounds, the binding site residues interacted in a similar way as seen in cocrystallized complexes, TGF-β/staurosporine (Figure 3(e)) [38] and GSK-3/B4K (Figure 3(f)) [39], and other reported cocrystallized bound inhibitors of TGF-β [51] and GSK-3 [52, 53], respectively. For example, in TGF-β/cmd1 complex, hydrogen-bonded oxygen atoms of Ser280 and Asp281 and backbone nitrogen atom of His283 were conserved as reported in TGF-β/staurosporine [38] together with other hydrophobic interactions including Gly212, Leu340, Ile211, Gly286, Ala230, Leu260, Lys232, and Val219 (Figure 3(e)), likewise in TGF-β/cmd2, which interacted mainly through hydrophobic interactions (Figure 5(e)), whereas the 1H-pyrazolo[3,4-b]pyridine rings of cocrystallized-bound ligand (B4K) of GSK-3 superimposed exactly on tetrahydroxychromen-4-one moiety of quercetin and evidenced conserved hydrophobic interactions with residues, Ala83, Tyr134, Val135 (which interacted through H-bond with B4K), and Leu188 (Figure 3(f)). Likewise, several conserved hydrophobic interactions were observed in GSK-3β/cmd2 (Figure 5(f)).


## 4. Discussion

The current research was aimed at determining the wound healing potential ofC. arvensis methanolic extract. Moreover, antioxidant assays and chemical characterization were also performed. The antioxidant potential of the CaME was assessed by the bona fide DPPH inhibition, ferric reducing antioxidant potential, and H2O2 scavenging assays while ascorbic acid was used as a standard. The plant extract exhibited notable antioxidant potential in contrast to ascorbic acid. These promising results could be endorsed to the presence of excessive flavonoid and phenolic contents in CaME [10, 14]. The antioxidant potential is an established therapeutic indicator for accelerating wound healing characteristics of plant extracts [54]. Different medicinal plants having promising wound healing characteristic have been found to possess significant antioxidant activity. It is evident from a wide range of literature that wound healing property of plant extracts coexist with their antioxidant potential [55].The wound healing action ofCaME could be attributed to the promising antioxidant potential of CaME. Another concomitant factor of these results is related to the antibacterial activity of C. arvensis. An ethanolic extract of this plant has been reported to possess strong antibacterial activity towards Staphylococcus aureus, Streptococcus pyogenes, and Escherichia coli [56]. These microorganisms have their proven predominant role in delaying wound healing process [57]. In the current study, CaMe exhibiting wound healing potential might be due to the antibacterial action as coevidenced from the skin histology slides. Additionally, 20% CaME substantially accelerated wound closure in contrast to 10% dosage of CaME and control group. The healing activity of 20% CaME was insignificantly varied from gentamicin.Ferulic acid has proven to be effective in treating erythema as it is greatly absorbed in the skin when topically applied [58]. Quercetin may also support speed wound curing; researches have also revealed that quercetin acted on nerve tissues in skin wounds to heal the damage [59]. Gallic acid possesses strong antioxidant activity that causes the activation of growth factors accountable for wound healing [31]. Vanillic acid has proven to have relatively high penetration from the epidermis into the dermis layer to prevent from damaging action of free radicals to skin [60]. Hence, the wound healing potential of C. arvensis could be attributed to these phenolic compounds. Moreover, GC-MS chromatogram revealed the presence of 7-hexadecenoic acid and octadecyl 3-(3,5-di-tert-butyl-4-hydroxyphenyl)propionate that are known antioxidant and anti-inflammatory agents so they might be involved in the healing of wounds [2, 59].The wound healing potential of the plant was also confirmed from the in silico characterization. Molecular docking was carried out using AD Vina, and identified active compounds ofC. arvensis were ranked according to the energy function, which consisted of van der Waal’s electrostatic interactions of protein/ligand complex [61]. Prior to the molecular docking with identified compounds, a cognate study was performed to evaluate the reliability of energy functioning by redocking of cocrystallized ligands into the binding site of corresponding GSK-3β and TGF-β proteins, and RMSD was calculated as 0.12 and 0.56 Å, respectively. For β-catenin and c-myc, no cocrystallized structure with a bound inhibitor was present; therefore, previously reported binding sites for these proteins were selected for molecular docking procedure [40, 43, 44, 62, 63]. The most representative conformation of ligands from the highest cluster was selected as the best docking pose inside the binding pocket of β-catenin and c-myc. The docking study revealed fairly good binding affinities against all four targets including GSK-3β, TGF-β, β-catenin, and c-myc. The docking results with the other two proteins (β-catenin and c-myc) were also in good rational with the reported studies. In β-catenin complex with both compounds, the established H-bonds with Lys312 and several neighboring residues including Gly307, Tyr306, and Lys345 were similar as reported in the crystal structure of a β-catenin/hTcf complexes, where these residues were found to facilitate the Tcf binding through H-bond interactions [40, 64, 65]. In c-myc, the docked conformations of both compounds revealed a consistent binding interaction as reported with compound 10074-G5 [43], 7594-0035 [44], and several low molecular weight inhibitors [66].The MD simulation has an added advantage over classical molecular docking methods [67], especially when protein flexibility is concerned [68] and has proven to be an effective tool to investigate the dynamic behavior of ligand-bound conformations in connection with the binding pocket of protein [69]. Moreover, MD simulations in the explicit solvent environment additionally estimate the role of water molecules in modulating ligand binding [70, 71] and finally stabilize the ligand in most favorable conformation. In the current study, the binding potential of the investigated compounds together with the cocrystalized inhibitors behaved equally in explicit solvent environment, and corresponding interaction profile of each complex after 10 ns MD simulations was in line with the reference compounds. Dermal application of an agent can produce a wide range of undesired effects ranging from cutaneous toxicity to general physiological disorders. Plant extracts contain a large number of compounds having different polarities that can not only affect surface skin tissues but also capable of crossing different membrane barriers to reach the bloodstream, resulting in their general physiological effects. This study is the first account of the acute dermal toxicity of C. arvensis. Although the oral ingestion of this plant causes severe gastric and hepatic toxicity [72], the dermal toxicity study exhibited no mortality and toxicity till 14 days.


## 5. Conclusion

In this study, the presence of pharmaceutically promising phytoconstituents inCaME was evident through HPLC and GC-MS. In silico validation of the affinity of these phytoconstituents towards wound healing targets and promising antioxidant activity corroborate wound healing potential of CaME. These outcomes potentiate further investigation of CaME for the treatment of diabetic wound healing. To the best of our knowledge, this is the first account of the experimental validation of the wound healing potential and acute dermal toxicity of the C. arvensis. These outcomes provide the basis of the future direction involving isolation and identification of the active phytoconstituents and their validation for wound healing potential. This study lacked mechanism-based investigation of CaME for wound healing that must be elucidated in further studies. It is suggested that further extension of this work towards validation of the pathways involving GSK-3β, c-myc, TGF-β, and β-catenin must be carried out, which are responsible for the accelerated wound healing. These findings are economically beneficial because the use of this plant extract for wound healing by local communities will help reduce the health care cost due to reduced usage of health facilities in distant areas.



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*Source: 1373160-2022-11-24.xml*