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Bioprospecting Dodonaea viscosa Jacq.; a traditional medicinal plant for antioxidant, cytotoxic, antidiabetic and antimicrobial potential
⁎Corresponding author. nosheen.chem.Icwu@gmail.com (Nosheen Kanwal)
⁎⁎Corresponding author. ihaq@qau.edu.pk (Ihsan-ul Haq),
-
Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Peer review under responsibility of King Saud University.
Abstract
Purpose of study
Dodonaea viscosa Jacq. is an ethnomedicinal plant that has been extensively used for the treatment of gout, rheumatism and pain. Current study was undertaken to mine its antioxidant, antimicrobial, cytotoxic and antidiabetic potential. Chromogenic assays were employed to establish plant’s multimode antioxidant profile whereas HPLC fingerprinting was performed to quantify polyphenols. Standard brine shrimp lethality, MTT and SRB assays proved its cytotoxicity potential.
Results
Among all the extracts (flower, leaf, stem and root), maximum extract recovery (22% w/w), gallic acid equivalent total phenolic content (20.11 ± 0.11 ug GAE/mg DW), ascorbic acid equivalent total antioxidant capacity (22.5 ± 0.07 µg/mg DW) and total reducing power (31.1 ± 1.13 µg/mg DW) were recorded in the distilled water + acetone extract of leaf. The acetone extract of leaf showed maximum quercetin equivalent total flavonoid content (4.78 ± 0.13 µg/mg DW). HPLC-DAD analysis revealed significant amount of rutin, vanillic acid, coumaric acid, ferulic acid, gallic acid, syringic acid, cinnamic acid, gentisic acid, catechin, caffeic acid, apigenin and myricetin in the different plant parts. Maximum scavenging potential was exhibited by methanol + ethyl acetate stem extract (IC50 = 23.8 µg/ml). The highest antibacterial potential was found in flower (85.7%) and root (71.4%) extracts. The ethanol + ethyl acetate (1:1) leaf extract showed noteworthy toxicity against brine shrimps (LC50 = 95.46 µg/ml) while a notable antiproliferative activity against THP-1 (IC50 = 3.4 µg/ml) and Hep G2 (IC50 = 20 µg/ml) cell lines was shown by ethanol + ethyl acetate extracts (1:1) of stem and root, respectively. A moderate inhibition of α-amylase enzyme was observed in all parts of the plant.
Conclusion
The results of the present study suggest D. viscosa as a potential source of antioxidant, anticancer and α-amylase inhibitory phytochemicals.
Keywords
Dodonaea viscosa
Phytoconstituents
Secondary metabolites
Hep G2 hepatoma cell line
THP-1 human leukemia cell line
α-Amylase inhibition
Antiproliferative activity
- DMSO
-
Dimethyl sulfoxide
- TFC
-
Total flavonoid contents
- TPC
-
Total phenolic contents RSA: Radical scavenging activity
- DPPH
-
2, 2-diphenyl-1-picrylhydrazyl
- IC50
-
50 % inhibitory concentration
- TAC
-
Total antioxidant capacity
- TRP
-
Total reducing power
- MIC
-
Minimum inhibitory concentration
- LC50
-
Lethal concentration causing 50 % mortality
- ZOI
-
Zone of inhibition
Abbreviations
1 Introduction
Plants, the principal craftsman of molecules, create virtually an infinite array of molecular entities. Since ancient times, they form the spine of traditional system of cure throughout the world. In developing countries, over 80% of population relies on medicinal plants for their primary healthcare (Adnan et al., 2014). The compounds derived from plants have been used since antiquity for clinical purposes and have more patient acceptance and tolerance (Newman and Cragg, 2012). The isolation and characterization of compounds from plants began in the 19th century. Morphine was the first product isolated from the plant, Papaver somniferum and marketed in 1826 by Merck while aspirin was the first semisynthetic drug isolated from Salix alba and introduced in 1899 by Bayer (Fabricant and Farnsworth, 2001). Almost 11% of 252 drugs considered as basic and essential by WHO were exclusively from plant origin. They also serve as templates or models for designing, semisynthesis or complete synthesis of novel agents for treatment of various diseases (Rout et al., 2009). The importance of plants as potential candidate for drug discovery is mainly due to their structural diversity that still remains untapped (Veeresham, 2012). Genus Dodonaea is among the 140 genera that belongs to Sapindaceae family and includes 68 species that are mostly shrubs and small trees. Dodonaea viscosa Jacq. also known as hopbush or sanatha is an evergreen shrub. The word Dodonaea represents the name of Flemish botanist Rembert Dodoens and viscosa is from Latin word viscosus (sticky). The plant is a dioecious or monoecious single or multistemmed shrub up to 7 m high and withstands salt spray, sandy or rocky soils, drought conditions and windy areas (Lawal and Yunusa, 2013). The plant is native to Australia but also found in tropical and subtropical regions including warmer regions of North America, South Asia and South Africa countries (Muhammad et al., 2016). The plant is traditionally used worldwide and possess a number of ethnomedicinal properties that includes usage in rheumatism, waist pain and gout (Shanmugavasan and Ramachandran, 2011), sore throat, cold, fever, indigestion, ulcers, diarrhea, constipation, to expel roundworms, itching, toothaches and headaches (Rani and Mohan, 2009). The crushed stem is used to treat bone fractures (Senthilkumar et al., 2006). The aqueous methanolic extract of leaves has been reported to exhibit significant antihyperlipidemic, hepatoprotective (Ahmad et al., 2012) and hypoglycemic properties (Veerapur et al., 2010). A study performed by Getie et al. on D.viscosa reported isolation of isorhamnetin and quercetin from root bark while kaempferol was reported from its leaf extract (Getie et al., 2003). The essential oil isolated from leaves of D. viscosa mainly consisted of oxygenated nor-diterpenes and diterpenes (Marvilliers et al., 2020). The flavonoids isolated from aerial parts included alizarin, pinocembrin, penduletin, viscosol, isokaempherol and kaempferol-trimethyl ether (Rani and Mohan, 2009). The saponins isolated from seeds of D. viscosa included dodonoside A and dodonoside B (Wagner et al., 1987). The antibacterial clerodane type diterpenoid, 6β-hydroxy-15,16-epoxy-5β, 8β, 9β, 10α-cleroda-3, 13(16) and 14-trien-18-oic acid is reported from D. viscosa (Khurram et al., 2015).
The present study was designed to explore the wide pharmacological spectrum of D. viscosa by employing different plant parts and a range of variable polarity solvents to identify most efficacious plant organ for each type of bioactivity as different parts possess peculiar array of phytochemicals. The current research is conducted to evaluate the antioxidant, antibacterial, antifungal, cytotoxic and antidiabetic activities of flower, leaf, stem and root parts of D. viscosa by employing multiple mono and binary solvent systems.
2 Materials and methods
2.1 Solvents and reagents
Solvents (n-Hexane, chloroform, acetone, ethyl acetate, methanol, ethanol and DMSO), gallic acid, quercetin, aluminium chloride (AlCl3), potassium acetate, 2, 2-diphenyl-1-picrylhydrazyl (DPPH), ascorbic acid, sulfuric acid (H2SO4), ammonium molybdate, monosodium dihydrogen phosphate (NaH2PO4), trichloroacetic acid (TCA), potassium ferricyanide, ferric chloride (FeCl3), standard antibiotics (cefixime, ciprofloxacin), standard antifungal (clotrimazole), trypton soy broth (TSB), α-amylase enzyme, acarbose, phosphate buffer (PB), Folin–Ciocalteu reagent, RPMI-1640 medium, Medium 119, DMEM and sea salt were purchased from Sigma (Sigma-Aldrich Germany). Sabouraud dextrose agar (SDA) was purchased from Oxoid England; Tween-20 from Merck-Schuchardt, USA while doxorubicin was purchased from Merck (Darmstadt, Germany).
2.2 Collection and identification of plant
The plant was collected from the premises of Quaid-i-Azam University, Islamabad in the month of May 2015 and was identified by Prof. Dr. Rizwana A. Qureshi, department of plant sciences, faculty of biological sciences, Quaid-i-Azam University, Islamabad, Pakistan. A dried voucher specimen of plant (PHM-499) was deposited at the herbarium of medicinal plants, Quaid-i-Azam University, Islamabad for future reference.
2.3 Extraction
The collected plant was sorted to remove unwanted substances, rinsed with tap water and shade dried at room temperature for 3–4 weeks. The dried parts were pulverized separately by commercial miller to coarse powder. The sonication aided maceration technique was employed for extraction by using fourteen different solvents either alone or 1:1 combination. The accurately weighed plant powder (50 g) was soaked in 200 ml solvent using Erlenmeyer flask at room temperature for 72 hrs with frequent agitation on ultrasonic bath (temperature 25 °C, frequency 25 kHz). After 3 days, plant material was strained by muslin cloth and then filtered through Whatmann No. 1 filter paper. Finally, filtrates were concentrated (at room temperature), dried in vacuum oven (Mermant, Germany) at 45 °C and final crude extracts were then stored at −20 °C. The different solvents employed for extraction process included n-hexane (nH), chloroform (C), ethyl acetate (EA), methanol + chloroform (MC), ethanol + chloroform (EC), methanol + ethyl acetate (MEA), acetone + ethyl acetate (AEA), ethanol + ethyl acetate (EEA), methanol (M), acetone (A), ethanol (E), distilled water + acetone (WA), distilled water + methanol (WM) and distilled water (W).
2.3.1 Extract recovery
The percent extract recovery was calculated by using the following equation:
Where We = crude extract weight (of each solvent system)
2.4 Phytochemical analysis
2.4.1 Total phenolic content (TPC) determination
Folin-Ciocalteu (FC) reagent was used for determination of phenolic content by the previously described procedure (Haq et al., 2011). In 96 well plate, a mixture containing 20 µl of test sample from 4 mg/ml stock solution and 90 µl of FC reagent was incubated at room temperature for 5 min. Then 90 µl of sodium carbonate solution (6 g/100 ml in distilled water) was added followed by incubation at 37 °C for half an hour. Finally, absorbance was taken by using microplate reader (Biotech USA, microplate reader Elx 800) at 630 nm. DMSO was used as negative control while Gallic acid at varying concentrations (0–25 µg/ml) was employed as positive control. The amount of total phenolic content was computed using gallic acid calibration curve (y = 0.0718x − 0.0018, R2 = 0.9993) at concentrations of (0–25 µg/ml). The results were expressed as µg gallic acid equivalent per mg dry plant weight (µg GAE/mg DW) and experiment was run thrice.
2.4.2 Total flavonoid content (TFC) determination
Aluminium chloride colorimetric method was employed for total flavonoid content determination (Haq et al., 2011). The mixture containing 20 µl of test sample (4 mg/ml DMSO), 10 µl of aluminium chloride (10% w/v), 10 µl of potassium acetate (1 M) and 160 µl of distilled water was incubated at room temperature for 30 min. The assay was run thrice, and absorbance was measured at 415 nm using microplate reader (Biotech USA, microplate reader Elx 800). A calibration curve (y = 0.0648x − 0.0158, R2 = 0.9976) of quercetin (at final concentrations of 0–40 µg/ml) was drawn and results were expressed as microgram gram quercetin equivalent per milligram dry plant weight (µg QE/mg DW).
2.4.3 HPLC-DAD analysis
The standard protocol for high performance liquid chromatography technique coupled with diode array detector (HPLC-DAD) was used for detection and quantification of polyphenols in D. viscosa crude extracts (Jafri et al., 2014). HPLC system, Agilent Chem station Rev. B.02–01-SR1 (2 6 0) was fitted out with a Zorbex-C8 analytical column (4.6 × 250 nm, 5 μm particle size) combined with a (DAD) diode array detector (Agilent technologies, Germany) (Fatima et al., 2015; Nasir et al., 2020). The polyphenols detection was accomplished by binary gradient system with mobile phase A (methanol: water: acetic acid: acetonitrile in 10:85:1:5 ratio) and mobile phase B (acetonitrile: methanol: acetic acid in 40:60:1 ratio). The flow rate was adjusted at 1 ml/min. The 20 µl of sample solution (in methanol) was injected into the column. Column was reconditioned for 10 min before injecting new sample. The gradient volume of (mobile phase B) was 0–50% in (0–20 min), 50–100% in (20–25 min) and 100% in last 25 to 30 min. The stock solutions of standards were prepared in methanol and further diluted to get 10, 20, 50, 100 and 200 µg/ml final concentrations. The calibration curves were created by using peak area and final concentrations for each standard. The mobile phase, samples and standard solutions were degassed and filtered by using 0.45 μm Millipore membrane filter. The absorption was measured at specific wavelengths i.e., for rutin and vanillic acid at (257 nm), for catechin, gallic acid, syringic acid and coumaric acid at (279 nm), for caffeic acid, ferrulic acid, gentisic acid, cinnamic acid and apigenin at (325 nm) and for myricetin at (368 nm). The amount of each polyphenols was quantified by using calibration curve i.e., for rutin (y = 9.547x + 22.217, R2 = 0.997), vanillic acid (y = 6.357x + 12.113, R2 = 0.998), catechin (y = 7.878x-19.532, R2 = 0.996), gallic acid (y = 23.573x-43.167, R2 = 0.995), syringic acid (y = 9.532x + 13.754, R2 = 0.998), coumaric acid (y = 9.7644x + 14.281, R2 = 0.999), caffeic acid (y = 25.093x + 92.465, R2 = 0.995), ferrulic acid (y = 19.51x-16.67, R2 = 0.998), gentisic acid (y = 12.21x-20.348, R2 = 0.996), cinnamic acid (y = 8.787x + 12.354, R2 = 0.999), apigenin (y = 18.111x + 25.565, R2 = 0.997) and myricetin (y = 5.2278x-6.3043, R2 = 0.998).
2.5 Biological evaluation
2.5.1 Antioxidant assays
2.5.1.1 Free radical scavenging assay (% FRSA)
The scavenging activity of each solvent extract was assessed by previously described method (Khan et al., 2015). Briefly, an aliquot of 10 µl of test sample (4 mg/ml DMSO) and 190 µl of DPPH solution (9.2 mg/100 ml in methanol) was transferred into each well of 96 well plate followed by incubation at 37 °C for 60 min in dark environment. After incubation, absorbance was recorded at 630 nm. The percent free radical scavenging activity (% FRSA) of test samples was estimated by following equation:
Where ODs is absorbance of sample solution containing DPPH reagent and ODc is absorbance of negative control containing DMSO and DPPH reagent. The test samples having % FRSA ≥ 50% were tested at final concentrations of 200, 66.66, 22.22 and 7.4 µg/ml to determine their 50% inhibitory concentration (IC50). Ascorbic acid was used as positive control in this assay. IC50 was calculated by graph pad prism 5 software and assay was run thrice.
2.5.1.2 Determination of total antioxidant capacity (TAC)
Total antioxidant capacity was determined by previously described protocol (Khan et al., 2015). The eppendorf tubes comprising of 100 µl of test sample and 900 µl of TAC reagent (0.6 M sulphuric acid, 28 mM monosodium phosphate, 48 mM ammonium molybdate solution in water) were incubated at 95 °C for 90 min in water bath and then cooled to room temperature. Finally, 200 µl of test sample was transferred to 96 well plate and absorbance was measured at 630 nm. Ascorbic acid (1 mg/ml DMSO) at final assay concentration of (0–50 µg/ml) was used as positive control and DMSO as negative control (blank). Total antioxidant capacity was computed using ascorbic acid calibration curve (y = 0.0188x − 0.0189, R2 = 0.9983) and results were expressed as number of microgram equivalents of ascorbic acid per milligram dry plant weight (µg AAE/mg DW). The assay was performed thrice.
2.5.1.3 Determination of total reducing power (TRP)
Previously described protocol (Khan et al., 2015) was used for assessment of total reducing power of D. viscosa extracts. The eppendorf tubes containing 0.2 ml of test sample (4 mg/ml DMSO), 0.4 ml of phosphate buffer (0.2 mol/l, pH 6.6) and 0.5 ml of potassium ferricyanide (1% w/v) were incubated at 50 °C for 20 min. Then 0.4 ml of trichloroacetic acid (10% w/v) was incorporated and centrifuged at 3000 rpm for 10 min. From the centrifuged mixture, 150 µl of supernatant was transferred to 96 well plate containing 50 µl of ferric chloride (0.1% w/v). Absorbance was recorded at 630 nm. DMSO and ascorbic acid (1 mg/ml) at final concentrations of (0-25µg/ml) were used as negative and positive control. Total reducing power was computed using ascorbic acid calibration (y = 0.0559x − 0.014, R2 = 0.994) and results were expressed as number of microgram equivalents of ascorbic acid per milligram of dry plant weight (µg AAE /mg DW) after triplicate analysis.
2.5.2 Antimicrobial assays
2.5.2.1 Antibacterial assay
Antibacterial potential of each solvent extract was determined by previously described disc diffusion method (Khan et al., 2015) against five different strains; Staphylococcus aureus ATCC-6538 Bacillus subtilis ATCC-6633, Escherichia coli ATCC-25922, Klebsiella pneumoniae ATCC-1705 and Pseudomonas aeruginosa ATCC-15442. A 50 µl aliquot of 24 hrs refreshed culture was used to prepare lawn on nutrient agar plates. Sterile discs instilled with 5 µl test samples (20 mg/ml in DMSO) were placed on agar plates. Cefixime and roxithromycin were employed as positive standards while DMSO was used as blank. The incubation was done at 37 °C for 24 hrs and antibacterial potential was determined by measuring average diameter of zone of inhibition around sample. The assay was performed thrice. Microbroth dilution method (Fatima et al., 2015) was used for determination of minimum inhibitory concentration (MIC) of test samples with ≥10 mm zone of inhibition. Density of bacterial inoculum was maintained at (5 × 104 CFU/ml). Three-fold serial dilution of test sample with final well concentrations of (100, 33.33, 11.11, and 3.70 µg/ml) was prepared with sterile nutrient broth. Subsequently, 195 µl of bacterial culture was added followed by an overnight incubation at 37 °C. The lowest concentration at which the extract exhibited visible growth inhibition was designated as its MIC. The assay was performed in triplicate.
2.5.2.2 Antifungal assay
The sensitivity of test samples against five fungal strains i.e. Aspergillus fumigatus (FCBP- 66), Mucor sp. (FCBP-0300), A. niger (FCBP-0198), Fusarium solani (FCBP- 0291) and A. flavus (FCBP-0064) was determined by agar disc diffusion protocol (Fatima et al., 2015). The fungal spores were harvested in Tween 20 solution (0.02% v/v in water) and turbidity was adjusted to 0.5 McFarland turbidity standard. The SDA plates were swabbed by 100 µl of fungal spore suspension and then 5 µl of test sample from 20 mg/ml DMSO stock solution was infused on sterile filter disc and placed on plates. Sterile filter discs each infused with 5 µl of clotrimazole (4 mg/ml in DMSO) and DMSO served as positive and negative control respectively. All the sample and control treated discs were incubated for 24–48 hrs at 28–30 °C. The antifungal activity of test extracts was recorded by measuring zone of inhibition around samples to nearest (mm). The assay was run thrice.
2.5.3 Cytotoxicity assays
2.5.3.1 Brine shrimp lethality assay
The preliminary cytotoxicity of crude extracts against brine shrimps (Artemia salina) larvae was determined by 24 hrs lethality test by previously described protocol (Haq et al., 2011). Simulated sea water (38 g/l with 6 mg/l yeast) was used to hatch Artemia salina eggs (Ocean star, USA) in specially designed bi-compartment perforated tray under light and warmth 30–32 °C. After hatching period of 24–48 hrs, the hatched nauplii were gathered and then collected with Pasteur pipette in small beaker containing sea water. To each well, 10 mature nauplii were transferred and 150 µl of sea water was added. Two-fold serial dilution of test extracts was made with final concentrations of (25–200 µg/ml). Corresponding volume of each test sample containing (not more than 1% DMSO in sea water) was added to the wells containing sea water and shrimp larvae. The volume of each well was made up to 300 µl with sea water. Serial concentrations of doxorubicin (1.25–10 µg/ml) and 1% DMSO served as positive and negative control respectively. After 24 hrs incubation period at 37 °C, dead nauplii were counted using inverted microscope. The whole experiment was run thrice. The LC50 was calculated by graph pad prism 5 software.
2.5.3.2 THP-1 human leukemia cell line cytotoxicity assay
Standard MTT protocol was used for assessment of in vitro cytotoxic potential of D. viscosa crude extracts (Fatima et al., 2015). THP-1 human leukemia cells (ATCC# TIB-202) were cultured in RPMI-1640 growth medium (Gibco BRL, Life Technologies, Inc) buffered with 2.2 g/l NaHCO3 and supplemented with 10% v/v heat inactivated fetal bovine serum (HIFBS); pH 7.4] in a humidified 5% carbon dioxide incubator (Panasonic, Japan MCO-18AC-PE) at 37 °C. An aliquot of 10 µl of test sample with final concentration of 20 µg/ml (having 1% DMSO in PBS, pH 7.4) was transferred to 96 well plate followed by addition of 190 µl of leukaemia cells (seeding density 5 × 105 cells/ml) and kept for 72 hrs at 37 °C in 5% CO2 incubator. Sterilized pre filtered MTT solution 4 mg per ml in distilled water (20 µl) was added to each well and incubated at 37 °C for 4 hrs (in humidified CO2 incubator). After incubation, supernatant was carefully removed without disturbing coloured formazan sediments. Afterwards, 100 µl of DMSO was added to dissolve formazan sediments and the plate was kept aside for 1 hr to allow complete dissolution and then absorbance was noted at 540 nm. The vincristine and 5-fluorouracil at final concentration of 20 µg/ml served as positive controls while 1% DMSO in PBS employed as negative control. Test samples with ≥50% inhibition were further screened at four different concentrations (1.25–10 µg/ml). Experiment was run thrice and IC50 was calculated using graph pad prism 5 software.
2.5.3.3 Hep G2 cell line cytotoxicity assay
The SRB colorimetric assay previously described by (Vichai and Kirtikara, 2006) was used to evaluate the cytotoxicity of test extracts against Hep G2 cancer cells (RBRC-RCB1648). The Hep G2 cells were grown in the Dulbecco's Modified Eagle Medium (DMEM) supplemented with 10% FBS, 100 µg/ml streptomycin sulphate, 100 IU/ml penicillin G sodium, and 0.25 µg/ml amphotericin B. The plate was then incubated at 37 °C in humidified atmosphere enriched with 5% CO2 for 72 h (confluence of approximately 70–80%). The old media was changed with the fresh one and incubated again for another 24 h. Afterwards, the cells were trypsonised and diluted to get an assay density of 1x105 cells/ml. An aliquot of 20 µl of each test sample [1% DMSO in PBS (pH 7.4)] was added to 96 well microplate followed by the addition of 180 µl of harvested (Hep G2) cells. The final assay concentration of test sample was 20 µg/ml. The positive and negative control wells contained Doxorubicin (20–0.8 µg/ml) and DMSO (1% v/v) in PBS instead of test sample. The reaction mixture was incubated at 37 °C for 72 hrs in humidified atmosphere (5% CO2). Then 20 µl of cold TCA solution (20% w/v) was added for cell fixation proceeded by washing of fixed cells with tap water 4 times. The reaction plate was air dried and stained with 50 µl of (0.057% w/v SRB in 1% w/v acetic acid) for 30 min at room temperature. Wells were then washed (4 times) with 1% (v/v) acetic acid and the plates were dried overnight. The 200 µl of 10 mM Tris base: pH 10 was used to solubilize the bound dye for 1 hr. The optical density of reaction plate was measured at 515 nm using micro plate reader. Then percent survival was calculated. A zero-day control was run by transferring equivalent number of cells to sixteen wells of 96 well plate and incubated at 37 °C for 1 hr. After incubation cells were processed by above-described procedure.
Percent cell growth inhibition was calculated using following equation:
2.5.4 Alpha amylase inhibition assay
A slightly modified alpha amylase inhibition assay was used to assess antidiabetic activity of test samples (Kim et al., 2000). To each well of 96 well plate was transferred phosphate buffer pH 6.8 (15 µl), enzyme (0.14 U/ml) 25 µl, test sample 4 mg per ml DMSO (10 µl) and starch solution (40 µl) proceeded by incubation at 50 °C for half an hour. Then 20 µl of HCl (1 M) was added followed by subsequent addition of (90 µl) of iodine reagent (5 mM iodine and potassium iodide). Negative and positive control wells contained DMSO and acarbose instead of extract respectively. Blank was prepared without test sample and enzyme but contained buffer instead. The absorbance was recorded at 540 nm and results were calculated after triplicate analysis. Enzyme inhibition was calculated by using following equation:
% inhibition = [(Abs - Abn) / (Abb-Abn) × 100]
Where, Abs absorbance of test sample, Abb absorbance of blank and Abn absorbance of negative control well.
2.6 Statistical analysis
Data were expressed as mean of triplicate ± standard error. The Statistix 8.1 was used for statistical analysis of data while Origin 8.5 was used for graphical representation. GraphPad Prism software version 5 was used to calculate IC50 and LC50 values. The significance level was p < 0.05.
3 Results and discussion
3.1 Yield of the extract
The percent extract yield recovered by employing fourteen different solvents and their combinations via the processes of maceration and ultrasonication are depicted in the Table 1. By keeping the starting material’s mass and the extraction process constant for all the extracting solvents it was seen that different trends in extract yield were obtained with each single solvent or their combination. The maximum extract yield was obtained when distilled water + acetone (WA) was employed as extraction solvent with an extract recovery of 22, 9.6 and 6.3% w/w for leaf, stem and root respectively. While in flower part ethanol (E) extract showed highest yield of 14.6% w/w. The extract yield decreased as polarity of extraction solvent changed from polar to non-polar i.e., from distilled water to n-hexane. From the above results, it can be postulated that difference in extract recovery might be attributed to availability of diverse chemical composition of phytoconstituents. Mono and binary solvent systems were used giving the advantage of wide polarity range for the extractable components from the plant. Therefore, choice of solvent is a critical factor when it comes to extract recovery (Fatima et al., 2015). The activity may be more pronounced in solvents yielding low %extract recovery or vice versa. However, the information will aid in deciding a suitable solvent system for large scale extraction after the confirmation of sound biological activity via preliminary bioassays. Foot note: nH: n-hexane, C: chloroform, A: acetone, EAA: ethyl acetate + acetone, EA: ethyl acetate, EC: ethanol + chloroform, MC: methanol + chloroform, EEA: ethanol + ethyl acetate, MEA: methanol + ethyl acetate, E: ethanol, WA: distilled water + acetone, M: methanol, WM: distilled water + methanol, W: distilled water.
S. no.
Extracts codes
%Extract recovery
Flower
Leaf
Stem
Root
1
nH
1.9
0.6
0.2
0.2
2
C
4.6
7
0.7
0.3
3
EA
5.7
7.4
1
0.4
4
MC
5.2
11.3
2
2.3
5
EC
11.4
12.4
1.9
1.5
6
MEA
6.2
15.3
2.4
1.9
7
AEA
5.2
10.1
1.5
2.7
8
EEA
7.7
14.4
2.5
1.5
9
M
6
17.6
3.2
7.6
10
A
6.4
17.5
4
1.9
11
E
14.6
15.1
3.6
4
12
WA
9.2
22
6.3
9.6
13
WM
4.4
15.9
4.1
2.7
14
W
4.8
14.7
5.6
1.5
3.2 Phytochemical evaluation
3.2.1 Total phenolic content
The gallic acid equivalent total phenolic content (TPC) of all the extracts of flower, leaf, stem, and root of D. viscosa are presented in Fig. 1. The highest amount of TPC was quantified in WA extract of leaf (20.11 ± 0.11 µg GAE/mg DW), E extract of flower (7.44 ± 0.25 µg GAE/mg DW) and WA extracts of stem and root i.e., 5.43 ± 0.04 and 3.72 ± 0.05 µg GAE/mg DW respectively. The results revealed that highest phenolic content was quantified in polar solvent extracts and least amount was quantified in non-polar solvent extracts. Hence polarity plays a significant role in increasing solubility of phenols. The current results are in accordance with previous findings where relatively polar solvents displayed highest phenolic contents (AL-Oraimi & Hossain, 2016; Alomari, 2020; Nikoo et al., 2018). The comprehensive phytochemical analysis using various plant parts and variable polarity solvents was executed for the first time in current study (to the best of our knowledge). The polyphenols have important role to be used as antioxidant (Kumar et al., 2013), anticancer (Marino et al., 2016), antibacterial (Kubo et al., 2004) and antifungal (Chen et al., 2013). The antioxidant mechanism of plant phenolics involve scavenging or chelating the free radicals and trace elements thus combating the oxidative stress and cell death (Cheynier, 2012).TPC (Total phenolic content µg GAE/mg DW) and TFC (Total flavonoid content µg QE/mg DW) of D. viscosa flower, leaf, stem and root extracts in mono and binary solvents. The columns with different superscript (a-k) letters show significantly (P < 0.05) different means. Values are presented as mean ± standard error from triplicate investigation.
3.2.2 Total flavonoid content
Total flavonoid content (TFC) of flower, leaf, stem, and root parts in terms of microgram quercetin equivalent per milligram dry weight of plant (µg QE/mg DW) are presented in Fig. 1. The highest TFC was quantified in A extract of leaf with 4.78 ± 0.13 µg QE/mg DW and ethanol extract of flower i.e., 2.67 ± 0.03 µg QE/mg DW. In stem and root, the A and EAA extracts exhibited maximum flavonoid content i.e., 0.44 ± 0.01 µg QE/mg DW and 0.47 ± 0.05 µg QE/mg DW respectively. The current results are in agreement with previous documented results where aqueous extract of leaf displayed maximum flavonoid contents and least was in n-hexane extract (AL-Oraimi & Hossain, 2016; Hossain 2019). The flavonoids have significant antioxidant property that depends upon the arrangement of functional groups. The possible antioxidant mechanisms of flavonoids include scavenging ROS, protection and regulation of antioxidant defenses and suppression of ROS formation either by chelating trace elements or inhibition of enzymes (Afshar et al., 2012; Asifa et al., 2012; Zahra et al., 2017).
3.2.3 HPLC-DAD analysis
HPLC analysis of D. viscosa extracts was performed to detect and quantify the polyphenols in different solvent extracts. The UV spectra and retention time of test samples and standards were compared for chemical profiling. Rutin, gallic acid, catechin, caffeic acid, myricetin and apigenin were quantified in significant amounts in the analysed samples (Figs. 2a and 2b). The results in Table 2 revealed that maximum amount of rutin (1.61 µg/mg DW) was quantified in MEA extract of root followed by 0.87 and 0.80 µg/mg DW in E and M extracts of leaf. A significant amount of myricetin, gallic acid and catechin was quantified in M extract of leaf with 7.69, 1.50 and 1.41 µg/mg DW respectively. Apigenin was highest quantified in EA extract of stem with 1.57 µg/mg DW. The current findings are in parallel with previous documented results where rutin, myricetin and gallic acid have been detected in leaf and stem extracts of D. viscosa (Akhtar and Mirza, 2015). The detected polyphenols have established bioactivities and further potentiate the medicinal value of D. visocsa i.e., rutin and gallic acid have antimicrobial, antioxidant and anticancer properties (Chua, 2013; Sharma et al., 2013; Verma et al., 2013). Apigenin has anticancer potential (Wang et al., 2014; Zhu et al., 2013). Caffeic acid has been observed to exhibit role as anticancer, antifungal and antitumor (Prasad et al., 2011; Touaibia et al., 2011). Myricetin have significant antioxidant and antimicrobial capabilities (Puupponen-Pimiä et al., 2001; Roedig-Penman and Gordon, 1998). Catechin has been reported to have antitumor and antioxidant properties (Singh et al., 2011). Nd: not detected. Values are presented as mean ± SD. Only extracts with polyphenols quantified are mentioned in table.Chromatograms showing peaks of polyphenols detected in Ethanol extract of leaf.
Chromatograms showing peaks of polyphenols detected in Ethyl acetate extract of root.
S. no.
Phenolic compounds
Signal wavelength
Extract
Flower
Leaf
EA
MEA
M
E
W
EA
MEA
M
E
W
1
Rutin
257
0.45 ± 0.24
0.13 ± 0.004
0.57 ± 0.01
Nd
0.122 ± 0.02
0.01 ± 0.005
0.75 ± 0.08
0.80 ± 0.15
0.87 ± 0.09
0.11 ± 0.1
2
Vanillic acid
257
0.420 ± 0.07
0.040 ± 0.003
0.136 ± 0.05
0.109 ± 0.01
0.696 ± 0.03
0.136 ± 0.05
0.484 ± 0.09
0.132 ± 0.06
Nd
0.64 ± 0.03
3
Gallic acid
279
0.02 ± 0.01
0.31 ± 0.10
0.34 ± 0.03
0.63 ± 0.02
0.44 ± 0.01
0.31 ± 0.01
0.98 ± 0.07
1.50 ± 0.12
1.19 ± 0.01
0.16 ± 0.05
4
Syringic acid
279
2.964 ± 0.19
Nd
Nd
Nd
0.99 ± 0.01
0.087 ± 0.01
Nd
Nd
Nd
Nd
5
Catechin
279
Nd
Nd
0.01
Nd
0.87 ± 0.03
0.84 ± 0.01
0.78 ± 0.01
1.41 ± 0.02
0.78 ± 0.01
0.23 ± 0.02
6
Coumaric acid
279
1.273 ± 1.14
Nd
0.508 ± 0.1
7.831 ± 0.54
Nd
0.77 ± 0.02
1.662 ± 0.14
Nd
Nd
0.17 ± 0.1
7
Gentisic acid
325
0.208 ± 0.02
0.203 ± 0.06
Nd
Nd
Nd
0.93 ± 0.01
Nd
0.766 ± 0.02
Nd
0.696 ± 0.03
8
Ferulic acid
325
2.954 ± 0.22
0.822 ± 0.09
Nd
0.866 ± 0.07
1.99 ± 0.12
Nd
0.528 ± 0.09
0.896 ± 0.01
Nd
0.136 ± 0.05
9
Caffeic acid
325
1.53 ± 2.12
2.681 ± 1.3
1.928 ± 0.4
2.28 ± 0.52
0.08 ± 0.01
Nd
1.583 ± 0.24
0.789 ± 0.01
0.484 ± 0.09
0.484 ± 0.09
10
Cinnamic acid
325
1.82 ± 1.13
1.27 ± 0.03
Nd
Nd
0.09 ± 0.01
0.584 ± 0.03
1.906 ± 0.17
Nd
Nd
Nd
11
Apigenin
325
0.07 ± 0.03
0.03 ± 0.002
0.08 ± 0.001
0.08 ± 0.01
Nd
0.277 ± 0.04
0.133 ± 0.21
0.277 ± 0.04
0.696 ± 0.03
0.09 ± 0.01
12
Myricetin
368
Nd
0.85 ± 0.05
2.32 ± 0.01
1.90 ± 0.03
Nd
0.83 ± 0.02
4.80 ± 0.10
7.69 ± 0.11
0.09 ± 0.01
0.02 ± 0.01
Stem
Root
EA
MEA
M
E
W
EA
MEA
M
E
W
1
Rutin
257
0.08 ± 0.24
0.08 ± 0.004
0.050 ± 0.2
0.141 ± 0.04
0.398 ± 0.04
0.136 ± 0.01
1.61 ± 0.08
Nd
Nd
Nd
2
Vanillic acid
257
0.420 ± 0.07
0.040 ± 0.003
0.136 ± 0.05
0.109 ± 0.01
0.696 ± 0.03
Nd
0.484 ± 0.09
0.132 ± 0.06
Nd
0.132 ± 0.06
3
Gallic acid
279
0.01 ± 0.24
0.13 ± 0.15
0.23 ± 0.2
0.22 ± 0.21
0.855 ± 0.05
0.326 ± 0.01
0.02 ± 0.01
0.29 ± 0.14
0.02 ± 0.01
0.87 ± 0.02
4
Syringic acid
279
2.964 ± 0.19
Nd
Nd
Nd
Nd
Nd
Nd
Nd
Nd
0.98 ± 0.01
5
Catechin
279
0.11 ± 0.06
0.13 ± 0.17
0.23 ± 0.08
0.086 ± 1.8
0.13 ± 0.03
0.261 ± 0.05
0.416 ± 0.05
0.91 ± 0.05
0.61 ± 0.08
0.56 ± 0.01
6
Coumaric acid
279
0.273 ± 1.14
Nd
0.508 ± 0.1
1.831 ± 0.54
0.28 ± 0.02
Nd
1.662 ± 0.14
0.84 ± 0.06
0.784 ± 0.09
1.09 ± 0.04
7
Gentisic acid
325
0.208 ± 0.02
0.203 ± 0.06
Nd
Nd
Nd
Nd
0.93 ± 0.06
0.22 ± 0.03
0.12 ± 0.01
Nd
8
Ferulic acid
325
1.954 ± 0.22
0.822 ± 0.09
Nd
0.866 ± 0.07
1.999 ± 0.12
Nd
0.528 ± 0.09
1.06 ± 0.08
1.55 ± 0.08
Nd
9
Caffeic acid
325
2.53 ± 2.12
1.681 ± 1.3
1.928 ± 0.4
0.298 ± 0.52
Nd
0.98 ± 0.01
3.583 ± 0.24
0.619 ± 0.09
Nd
0.98 ± 0.02
10
Cinnamic acid
325
2.82 ± 1.13
2.27 ± 0.03
Nd
Nd
Nd
Nd
1.906 ± 0.17
Nd
Nd
0.954 ± 0.06
11
Apigenin
325
1.57 ± 0.04
Nd
Nd
0.154 ± 0.03
Nd
0.584 ± 0.03
0.133 ± 0.19
0.278 ± 0.02
Nd
Nd
12
Myricetin
368
0.01 ± 0.005
0.11 ± 0.01
0.11 ± 0.01
0.21 ± 0.03
Nd
0.75 ± 0.02
Nd
0.067 ± 0.01
Nd
Nd
3.3 Biological evaluation
3.3.1 Antioxidant potential
3.3.1.1 %FRSA assay
Many free radicals and reactive oxygen species are generated by living cells as by-products of physiological and biochemical processes. Free radicals are responsible for various chronic diseases including diabetes mellitus, aging, cancer, ischemic heart disease, atherosclerosis and many other degenerative diseases due to oxidative damage of proteins, DNA, amino acids and lipids (Aiyegoro and Okoh, 2010). Normally a low level of different forms of free radicals exists to regulate physiological functions that are scavenged by the inherited antioxidant system of body. The excessive production of these radicals cause damage to body cells (Vaghasiya et al., 2011). The concerns over the potential side effects of frequently used synthetic antioxidants such as butylated hydroxyanisole (BHA) and butylated hydroxytoluene (BHT) have focused research interests towards finding antioxidants from natural sources. The plants being reservoir of bioactive compounds constitute one of the most valuable sources for natural antioxidants. The plant polyphenols serve as potential alternative to the synthetic antioxidants due to safety and efficacy (Tzima et al., 2018). A large number of antioxidant compounds have been isolated from plants with ability to scavenge ROSs (Riaz et al., 2012). A single method is not reliable to determine antioxidant capability of test sample due to complex nature and variable mode of action of antioxidant agent, so different antioxidant assays should be performed (Sini et al., 2011).
The antioxidant activity of D. viscosa extracts was determined by measuring their ability to quench the stable free radicle i.e., DPPH the results of which are presented in Fig. 3. The percent free radical quenching ability was assessed by discoloration of purple colour of DPPH solution (Sharma and Bhat, 2009). The highest scavenging activity in flower and leaf part was exhibited by WA extracts with an IC50 of 116.7 µg/ml and 47.99 µg/ml respectively. While in stem and root, maximum scavenging potential was displayed by MEA and EEA extracts showing IC50 = 23.8 µg/ml and IC50 = 24.95 µg/ml respectively. The results are in accordance with previous findings where polar solvents such as methanol and chloroform combination and aqueous extracts of leaf and stem showed highest scavenging potential (Akhtar and Mirza, 2015; Mothana et al., 2010). The scavenging mediated antioxidant activity might be due to the polyphenols detected in various solvent extracts of D. viscosa.%FRSA (radical scavenging activity) of D. viscosa flower, leaf, stem and root parts in different solvents. Values are presented as mean ± Standard deviation from triplicate investigation. The columns with different superscript (a-g) letters show significantly (P < 0.05) different means.
3.3.1.2 TAC
The total antioxidant capacity of D. viscosa extracts was determined by phosphomolybdenum based colorimetric method based on formation of green phosphate molybdenum complex (Khan et al., 2015). The results are presented in Fig. 4. The highest antioxidant activity was displayed by WA (22.55 ± 0.07 µg AAE/mg DW) of leaf, E extract of flower (7.59 ± 0.19 µg AAE/mg DW), WA extract of stem (5.41 ± 0.01 µg AAE/mg DW) and EAA extract of root (4.08 ± 0.06 µg AAE/mg DW). Our results strengthen previous findings where polar solvent extracts exhibited significant activity (Akhtar and Mirza, 2015; Riaz et al., 2012). A linear correlation was found between TPC and TAC with correlation coefficient R2 of 0.9137 (flower), 0.7454 (leaf), 0.9208 (stem), 0.761 (root) respectively. Similarly, a linear correlation was also found between TAC and TFC with correlation coefficient R2 of 0.7972 (flower), 0.6669 (leaf), 0.6059 (stem) and 0.8658 (root) respectively. A significant relationship among the phytochemicals and antioxidant activities further confirmed that phenolics and flavonoids are responsible for antioxidant capabilities (Djeridane et al., 2006; Kumar et al., 2013).TAC (Total antioxidant capacity µg AAE/mg DW) and TRP (Total reducing power µg AAE/mg DW) of various solvent extracts of flower, leaf, stem and root part of D. viscosa. Values are presented as mean ± Standard deviation from triplicate investigation. *IC50 > 100 µg/ml. The columns with different superscript (a-h) letters show significantly (P < 0.05) different means.
3.3.1.3 TRP
The ferric reducing power of various plant parts are presented in Fig. 4. The assay is based on reduction of ferric ion of potassium ferricyanide (Fe3+) to ferrous form (Fe2+) which results in formation of blue coloured complex that gives maximum absorbance at 593 nm (Komes et al., 2011). The highest reductive potential in flower part was exhibited by E extract (11.16 ± 0.46 µg AAE/mg DW). While in leaf, stem and root, WA extracts displayed maximum reducing power with 7.67 ± 1.29, 9.49 ± 0.62 and 5.84 ± 0.56 µg AAE/mg DW. Our results are in agreement with previous findings where polar solvent extracts of D. viscosa i.e. methanol, chloroform and water displayed reducing potential (Akhtar and Mirza, 2015; Shahzadi et al., 2012). In the current study, a significant correlation was also found between phenolic contents and reducing power with excellent correlation coefficient R2 of (0.973 for flower), (0.946 for leaf), (0.9907 for stem) and (0.9803 for root). Our findings strengthen previous documented results that phenolics are associated with reductive potential of plants by donating electrons or hydrogen atom that leads to termination of chain reaction by transforming free radical or active oxygen species to stable form (Brewer, 2011; Nasir et al 2020; Pal et al 2013; Zahra et al., 2017).
3.3.2 Antimicrobial assays
3.3.2.1 Antibacterial assay
The development of resistance against indiscriminate use of existing antibacterial drugs and treatment challenges against the bacterial infections has become major concern. Therefore, there is need to find alternative antimicrobials from the natural sources especially plants. (Ahmad and Beg, 2001). The antibacterial activity of plants largely depends on the solvent employed for extraction, part of plant used, organism tested, collection period and geographical location (Esmaeel and AL-Jobori, 2011; Kaushik and Goyal, 2008). The extracts with zone of inhibition (ZOI) ≥ 8 mm and ≤ 14 mm are considered moderately active, extracts with ZOI ≥ 15 mm and ≤ 21 are considered active, while the highly active extracts exhibited ZOI ≥ 22 mm and ≤ 29 mm. The EA extract of leaf was active against S. aureus with 19 ± 0.75 mm ZOI. Against B. subtilis nH and C extracts of root and flower were highly active with 22 ± 1.50 and 29 ± 0.84 mm of growth inhibition zone respectively. The chloroform and ethanol extracts of flower showed high activity against K. pneumoniae with zone of inhibition 22 ± 0.35 and 22 ± 0.98 mm respectively. The ethanol extract of leaf displayed highly active against P. aeruginosa with 22 ± 1.1 mm of growth zone inhibition. The C and E extracts of root displayed the best inhibitory potential against B. subtilis with 22 ± 0.75 and 22 ± 1.0 mm ZOI (Table 3). The results are strongly correlated with already documented reports where both polar and non-polar solvent extracts exhibited remarkable antibacterial activity against gram positive and gram negative strains (Esmaeel and AL-Jobori, 2011; Getie et al., 2003; Prakash et al., 2012; Ramamurthy et al., 2013). Hydroxylated phenolic compounds such as caffeic acid and rutin have shown toxicity to microorganisms (Lupaşcus et al., 2010). The antibacterial activities can be associated with phenolic and flavonoid contents of plant as they have reported antimicrobial properties and their possible mechanism involves the ability of these compounds to inhibit growth of bacteria by complexing with cell wall (Mehmood et al., 2013). The other possible mechanism involves blockade of cytoplasmic membrane functions, nucleic acid synthesis and metabolism (Cushnie and Lamb, 2005). The observed activity can be correlated to caffeic acid and rutin detected in HPLC analysis of subject plant. The antibacterial results suggested that D. viscosa has the potential to be used as herbal remedy for bacterial infections and can be a potential candidate for bioactivity guided isolation of novel antimicrobial agents. Note: Values (mm ± SD) are average zone of inhibition including disc diameter of three samples of each solvent extract (n = 1x3). -- = No activity in disc diffusion assay or not applicable (zone < 10 mm) for MIC determination. ** Cefixime and **Roxithromycin positive controls (20 µg/disc), DMSO: Negative control. The values with different superscript (a-c) letters show significantly (P < 0.05) different mean
Extract codes
Diameter of growth zone inhibition (mm ± SD at 100 µg/disc; MIC: µg/ml)
Gram positive
Gram negative
S. aureus
MIC
B. subtilis
MIC
K. pneumoniae
MIC
P. aeruginosa
MIC
E. coli
MIC
Flower
nH
7 ± 0.58
>100
13 ± 0.84
33.33
15 ± 0.55bc
66.66
7 ± 0.32
>100
8 ± 0.55
>100
C
–
–
22 ± 1.50ab
3.70
22 ± 0.35a
11.11
19 ± 0.41ab
11.11
–
–
EA
10 ± 0.75c
100
16 ± 0.25c
11.11
10 ± 1.21
100
10 ± 0.30
100
–
–
MC
11 ± 0.45c
100
12 ± 0.65
100
9 ± 1.85
>100
14 ± 0.25c
33.33
–
–
EC
–
–
11 ± 0.52
100
10 ± 0.56
100
16 ± 0.65bc
33.33
–
–
MEA
8 ± 0.95
>100
14 ± 0.75c
33.33
10 ± 1.40
100
7 ± 0.69
>100
–
–
AEA
10 ± 1.00c
100
14 ± 0.24c
11.11
10 ± 0.35
100
11 ± 0.98
100
–
–
EEA
8 ± 0.55
>100
13 ± 1.00
66.66
6 ± 0.65
>100
7 ± 0.55
>100
–
–
M
7 ± 0.65
>100
7 ± 0.56
>100
15 ± 1.43bc
33.33
15 ± 0.69bc
33.33
–
–
A
7 ± 0.95
>100
15 ± 0.45c
9 ± 1.50
>100
9 ± 0.40
>100
–
–
E
6 ± 1.20
>100
7 ± 0.35
>100
22 ± 0.98a
3.70
22 ± 1.01a
33.33
–
–
WA
8 ± 0.85
>100
19 ± 1.20bc
9 ± 0.78
>100
9 ± 0.25
>100
–
–
WM
8 ± 0.65
>100
8 ± 0.40
>100
11 ± 0.45
100
11 ± 0.98
100
7 ± 0.65
>100
W
10 ± 0.55c
100
10 ± 0.50
100
12 ± 1.0
100
12 ± 0.58
100
7 ± 1.0
>100
Leaf
nH
9 ± 0.58
>100
16 ± 0.84bc
33.33
12 ± 0.55
100
12 ± 0.32
100
7 ± 0.55
>100
C
7 ± 0.89
>100
13 ± 1.50
11.11
11 ± 0.35
100
10 ± 0.41
100
–
EA
19 ± 0.75b
33.33
13 ± 0.25
33.33
14 ± 1.21bc
33.33
15 ± 0.30bc
11.11
7 ± 0.5
>100
MC
7 ± 0.45
> 100
10 ± 0.60
100
7 ± 1.85
> 100
16 ± 0.25bc
33.33
7 ± 0.95
> 100
EC
8 ± 1.20
> 100
10 ± 0.52
100
7 ± 0.56
> 100
12 ± 0.65
100
7 ± 0.24
> 100
MEA
8 ± 0.95
> 100
14 ± 0.75c
33.33
14 ± 1.40bc
> 100
9 ± 0.69
> 100
8 ± 0.84
> 100
AEA
9 ± 1.00
> 100
10 ± 0.24
100
10 ± 0.35
100
15 ± 0.98bc
11.11
7 ± 1.0
> 100
EEA
8 ± 0.55
> 100
13 ± 1.00
100
9 ± 0.65
> 100
12 ± 0.55
100
6 ± 0.35
> 100
M
9 ± 0.65
> 100
10 ± 0.56
100
11 ± 1.43
100
10 ± 0.69
100
–
–
A
7 ± 0.95
> 100
15 ± 0.45c
11.11
8 ± 1.50
> 100
11 ± 0.40
100
–
–
E
9 ± 1.20
> 100
7 ± 0.35
> 100
11 ± 0.98
100
11 ± 1.01
100
–
–
WA
8 ± 0.65
> 100
13 ± 1.20
> 100
7 ± 0.78
> 100
12 ± 0.25
100
–
–
WM
10 ± 0.85c
> 100
7 ± 0.40
> 100
7 ± 0.45
> 100
9 ± 0.98
> 100
7 ± 0.65
> 100
W
9 ± 0.55
> 100
7 ± 0.50
> 100
7 ± 1.0
> 100
11 ± 0.58
100
–
–
Stem
nH
9 ± 0.58
> 100
18 ± 0.84bc
11.11
17 ± 0.55b
11.11
7 ± 0.32
> 100
9 ± 0.55
> 100
C
8 ± 0.40
> 100
10 ± 1.50
100
9 ± 0.35
> 100
8 ± 0.41
> 100
8 ± 0.5
> 100
EA
7 ± 1.85
> 100
14 ± 0.25c
33.33
12 ± 1.21
100
14 ± 0.30c
11.11
–
–
MC
9 ± 0.45
> 100
10 ± 0.65
100
10 ± 1.85
100
12 ± 0.25
100
–
–
EC
10 ± 0.78c
100
12 ± 0.52
100
13 ± 0.56c
100
10 ± 0.65
100
8 ± 0.24
> 100
MEA
10 ± 0.95c
100
10 ± 0.75
100
12 ± 1.40
100
18 ± 0.69ab
11.11
7 ± 0.84
> 100
AEA
11 ± 1.00c
100
9 ± 0.24
> 100
11 ± 0.35
100
10 ± 0.98
100
7 ± 1.0
> 100
EEA
7 ± 0.55
> 100
7 ± 1.00
> 100
13 ± 0.65c
33.33
15 ± 0.55bc
33.33
7 ± 0.35
> 100
M
7 ± 0.65
> 100
9 ± 0.56
> 100
12 ± 1.43
100
9 ± 0.69
> 100
–
–
A
12 ± 0.95c
100
10 ± 0.45
100
12 ± 1.50
100
13 ± 0.40c
100
–
–
E
10 ± 1.2c
100
7 ± 0.35
> 100
13 ± 0.98c
100
10 ± 1.01
100
–
–
WA
10 ± 0.65c
100
9 ± 1.2
> 100
10 ± 0.45
100
10 ± 0.98
100
–
–
WM
7 ± 0.85
> 100
11 ± 0.40
100
13 ± 0.78c
33.33
10 ± 0.25
100
7 ± 0.65
> 100
W
7 ± 0.55
> 100
11 ± 0.50
100
7 ± 1.0
> 100
8 ± 0.58
> 100
7 ± 0.95
> 100
Root
nH
7 ± 0.58
> 100
29 ± 0.84a
3.70
17 ± 0.55b
3.70
7 ± 0.32
> 100
15 ± 0.25b
33.33
C
–
–
10 ± 1.50
100
9 ± 0.31
> 100
19 ± 0.41ab
11.11
22 ± 0.75a
11.11
EA
–
–
14 ± 0.25c
11.11
12 ± 1.21
100
10 ± 0.30
100
10 ± 1.2
100
MC
–
–
12 ± 0.65
100
10 ± 1.85
100
14 ± 0.25c
33.33
9 ± 0.84
> 100
EC
10 ± 0.78c
100
9 ± 0.52
> 100
13 ± 0.56c
100
16 ± 0.65bc
3.70
10 ± 0.24
100
MEA
8 ± 0.95
> 100
10 ± 0.75
100
12 ± 1.40
100
7 ± 0.69
> 100
10 ± 0.52
100
AEA
7 ± 1.00
> 100
10 ± 0.24
100
11 ± 0.35
100
11 ± 0.98
100
10 ± 0.40
100
EEA
7 ± 0.55
> 100
10 ± 1.00
100
13 ± 0.65c
100
7 ± 0.55
> 100
7 ± 0.35
> 100
M
10 ± 0.65c
100
11 ± 0.56
100
12 ± 1.43
100
12 ± 0.69
100
15 ± 1.50b
33.33
A
12 ± 0.95c
100
10 ± 0.45
100
12 ± 1.50
100
12 ± 0.40
100
9 ± 1.2
> 100
E
7 ± 1.20
> 100
9 ± 0.35
> 100
13 ± 0.98c
100
11 ± 1.01
100
22 ± 1.0a
3.70
WA
7 ± 0.85
> 100
8 ± 1.20
> 100
13 ± 0.78c
100
9 ± 0.98
> 100
11 ± 0.45
100
WM
10 ± 0.65c
100
8 ± 0.40
> 100
10 ± 0.45
100
16 ± 0.25bc
11.11
9 ± 0.69
> 100
W
8 ± 0.55
> 100
7 ± 0.50
> 100
7 ± 1.0
> 100
9 ± 0.58
> 100
12 ± 0.65
100
Cef **
20 ± 1.20a
3.33
17 ± 0.65bc
3.33
20 ± 1.2a
1.11
22 ± 0.65a
1.11
20 ± 1.5a
3.33
Rox**
21 ± 0.54a
1.11
18 ± 0.85bc
3.33
22 ± 0.98a
1.11
21 ± 1.2a
1.11
21 ± 0.85a
3.33
DMSO
–
–
–
–
–
–
–
–
–
–
3.3.2.2 Antifungal assay
The antifungal potential of D. viscosa was evaluated against five different fungal strains as shown in Table 4. The results have shown that almost all the plant parts have moderate antifungal activity against the tested fungal strains with a zone of growth inhibition ranging from 7 mm to 12 mm. The flower extracts showed sensitivity only against A. flavus with maximum inhibition zone of 11 mm displayed by WA extract. The leaf part indicated that maximum inhibition zone was observed in MC extract (11 ± 0.88 mm) against A. fumigatus. While against F. solani MC, EC, A, WA and WM extracts have shown maximum inhibition zone of 12 mm. The A extract showed maximum inhibition zone of 12 ± 0.77 mm against Mucor sp. Similarly, the stem extracts were active against A. flavus, A. niger and A. fumigatus. The root part revealed that maximum activity was demonstrated by WM extract (10 ± 0.69 mm) against A. flavus, A (12 ± 0.98 mm) and C (12 ± 0.43 mm) extracts against A. fumigatus, MC extract (12 ± 1.24 mm) against F. solani, EC (12 ± 0.92) and WM extracts (12 ± 0.23) mm against Mucor sp. The extracts were least active against A. niger. The antifungal activities of plants can be associated with secondary metabolites including phenols, flavonoids, phenolic glycosides, saponins and cyanogenic glycosides (Quiroga et al., 2001). It might be attributed that the observed antifungal activities are due to the phenols and flavonoids quantified in this plant. Moreover, in this study, the variable trend in activity was observed both in polar and non-polar solvent extracts. The results are in agreement with previous studies that report antifungal activities in both polar and non-polar solvent extracts (Pirzada et al., 2010; Ramamurthy et al., 2013). Values are presented as mean of triplicate ± standard error. Clot**= clotrimazole (positive control; at concentration of 20 µg/disc. -- = no activity detected at tested concentration. DMSO negative control employed in assay. The values with different superscript (a-b) letters show significantly (P < 0.05) different means.
Extracts codes
Diameter of growth inhibition zone (mm ± SD) at 100 µg/disc
A. flavus
A. fumigatus
A. niger
F. solani
Mucor sp.
Flower
nH
8 ± 0.23
–
–
–
–
C
8 ± 0.17
–
–
–
–
EA
9 ± 0.55
–
–
–
–
MC
8 ± 0.47
–
–
–
–
EC
–
–
–
–
–
MEA
7 ± 0.67
–
–
–
–
AEA
8 ± 0.74
–
–
–
7 ± 0.85
EEA
8 ± 0.35
–
–
–
8 ± 0.67
M
7 ± 0.55
–
–
–
–
A
–
–
–
–
–
E
7 ± 0.95
–
–
–
–
WA
11 ± 0.90
–
–
–
–
WM
7 ± 0.49
–
–
–
–
W
–
–
–
–
–
Leaf
nH
–
–
–
–
–
C
–
–
–
–
–
EA
–
–
–
–
–
MC
–
11 ± 0.88
–
12 ± 1.12b
–
EC
–
–
–
12 ± 0.91b
–
MEA
–
–
–
–
–
AEA
–
–
–
–
–
EEA
–
–
–
6 ± 0.21
7 ± 0.05
M
–
10 ± 0.76
–
11 ± 0.77
–
A
–
–
–
12 ± 1.5b
12 ± 0.77b
E
–
–
–
–
–
WA
–
–
–
12 ± 0.54b
–
WM
–
–
–
12 ± 0.76b
–
W
–
–
–
–
–
Stem
nH
7 ± 0.33
–
7 ± 0.06
–
–
C
7 ± 0.45
–
–
–
–
EA
–
–
–
–
–
MC
9 ± 0.69
–
–
–
–
EC
7 ± 0.78
8 ± 0.58
–
–
–
MEA
10 ± 1.2
–
–
–
–
AEA
–
7 ± 0.49
–
–
–
EEA
–
–
–
–
–
M
9 ± 0.81
–
7 ± 0.51
–
–
A
–
–
–
–
–
E
11 ± 1.5
–
–
–
–
WA
8 ± 0.75
–
7 ± 0.95
–
–
WM
–
–
–
–
–
W
8 ± 0.67
–
–
–
–
Root
nH
9 ± 0.33
–
–
C
7 ± 0.45
11 ± 0.98
–
–
EA
–
–
MC
–
12 ± 1.24b
9 ± 0.58
EC
7 ± 0.58
–
8 ± 0.67
12 ± 0.23b
MEA
–
8 ± 0.54
9 ± 0.67
AEA
–
11 ± 0.89
EEA
9 ± 0.32
–
8 ± 0.86
10 ± 0.09
M
9 ± 1.05
–
9 ± 0.99
11 ± 1.5
A
12 ± 0.43
–
10 ± 1.5
E
9 ± 1.12
–
10 ± 0.78
WA
8 ± 0.82
–
9 ± 0.58
WM
10 ± 1.5
–
12 ± 0.92b
W
–
11 ± 0.51
Clot**
31 ± 0.43
30 ± 0.56
30 ± 0.97
20 ± 0.75a
30 ± 1.5 a
DMSO
–
–
–
–
–
3.3.3 Cytotoxic potential
3.3.3.1 Brine shrimp cytotoxicity
The preliminary cytotoxicity profiling of D. viscosa was assessed by employing brine shrimp lethality assay that is commonly employed to detect the antitumor, antimicrobial, insecticidal and anticancer properties of test samples (Ramamurthy et al., 2013). It is proposed that shrimp larvae behave similar to mammalian cells so the toxicity against these larvae can be inferred as cytotoxicity to mammalian cells (Ullah et al., 2012). The results of brine shrimp lethality assay are represented in the Table 5. The leaf extracts of D. viscosa possess toxicity against shrimp larvae with maximum lethality shown by EEA extract with 70% mortality (LC50 = 95.46 µg/ml). Both polar and non-polar extracts exhibited lethality against brine shrimps. The concentration dependent toxic effect of test extracts was observed in this assay which is in accordance with previous reports (Prakash et al., 2012). The cytotoxicity of test extracts might be due to defensive secondary metabolites that include flavonoids, phenols, saponins or other compounds (Aziz et al., 2013). The activity might be attributed to the polyphenols detected by HPLC analysis. Our results are contradictory to previous findings where stem and root extracts also exhibited toxicity against Artemia salina larvae and results were more prominent in polar solvent extracts than non-polar solvent extracts (Prakash et al., 2012). Values are presented as mean ± standard deviation (n = 3). --: No activity, 5-FU = 5-fluorouracil. The values with different superscript (a-d) letters show significantly (P < 0.05) different means.
Extracts codes
Brine shrimp cytotoxicity (µg/ml)
THP-1 cytotoxicity (µg/ml)
Hep G2 cytotoxicity (µg/ml)
% Mortality
LC50
% Inhibition
IC50
% Inhibition
IC50
200
20
20
Flower
nH
–
–
55.43 ± 0.55
20.00
C
–
–
46.32 ± 0.98
> 20
EA
–
–
–
–
MC
–
–
29.99 ± 1.10
> 20
EC
–
–
–
–
MEA
–
–
–
–
AEA
–
–
–
–
EEA
–
–
–
–
M
–
–
35.24 ± 1.20
> 20
A
–
–
–
–
E
–
–
–
–
WA
–
–
05.69 ± 0.67
> 20
WM
–
–
54.61 ± 1.70
20.00
W
–
–
45.09 ± 0.54
> 20
Leaf
nH
30.00 ± 5.77
10.60 ± 1.20
> 20
48.86 ± 1.02
> 20
C
40.00 ± 5.23
15.25 ± 1.23
> 20
21.12 ± 1.50
> 20
EA
60.00 ± 0.00c
21.56 ± 2.87
> 20
24.75 ± 0.45
> 20
MC
–
30.50 ± 0.77
> 20
8.50 ± 0. 67
> 20
EC
–
14.70 ± 0.57
> 20
9.71 ± 0.49
> 20
MEA
30.00 ± 4.77
35.50 ± 0.27
> 20
46.97 ± 0.82
> 20
AEA
50.00 ± 5.77
33.12 ± 1.18
> 20
61.75 ± 0.66bc
20.00
EEA
70.00 ± 0.00b
12.53 ± 0.83
> 20
21.37 ± 1.60
> 20
M
10.00 ± 0.00
50.50 ± 1.68
20.00
42.46 ± 1.75
> 20
A
–
21.56 ± 2.87
> 20
53.95 ± 0.95
20.00
E
50.00 ± 0.00c
19.56 ± 3.22
> 20
18.41 ± 0.57
> 20
WA
–
22.53 ± 0.83
> 20
28.92 ± 0.37
> 20
WM
–
67.53 ± 1.50
11.50
32.69 ± 0.88
> 20
W
40.00 ± 3.77
71.00 ± 0.47d
08.50
54.61 ± 1.40
20.00
Stem
nH
–
72.50 ± 2.87d
05.80
18.58 ± 0.75
> 20
C
–
81.40 ± 0.17c
05.50
09.60 ± 0.83
> 20
EA
–
80.50 ± 0.95c
05.80
12.58 ± 0.76
> 20
MC
–
87.30 ± 2.36bc
04.20
12.85 ± 0.34
> 20
EC
–
86.62 ± 1.35bc
04.40
19.17 ± 0.92
> 20
MEA
–
90.00 ± 1.70b
03.80
24.09 ± 0.77
> 20
AEA
–
75.00 ± 1.55 cd
06.90
19.17 ± 0.65
> 20
EEA
–
91.50 ± 1.70b
03.40
19.99 ± 0.35
> 20
M
–
67.53 ± 1.63
08.20
09.74 ± 0.29
>20
A
–
82.85 ± 2.00bc
04.60
17.77 ± 0.19
> 20
E
–
70.00 ± 0.85d
07.50
10.55 ± 0.63
> 20
WA
–
75.00 ± 1.01 cd
08.90
47.8 ± 0.66
> 20
WM
–
55.23 ± 3.22
20.00
17.35 ± 0.77
>20
W
–
50.25 ± 0.68
20.00
22.84 ± 0.55
> 20
Root
nH
–
12.53 ± 0.83
> 20
39.42 ± 1.60
> 20
C
–
30.33 ± 0.55
> 20
33.35 ± 1.90
> 20
EA
–
16.66 ± 0.67
> 20
10.00 ± 0.99
> 20
MC
–
70.00 ± 1.25d
09.40
15.00 ± 0.64
> 20
EC
–
12.50 ± 1.01
> 20
10.00 ± 0.44
> 20
MEA
–
10.80 ± 0.76
> 20
29.41 ± 0.22
> 20
AEA
–
14.55 ± 0.87
> 20
12.00 ± 0.44
> 20
EEA
–
13.60 ± 0.25
> 20
69.46 ± 1.67b
20.00
M
–
25.00 ± 0.70
> 20
14.60 ± 1.01
> 20
A
–
18.50 ± 0.56
> 20
50.59 ± 0.86c
20.00
E
–
20.10 ± 0.88
> 20
10.00 ± 0.44
> 20
WA
–
16.45 ± 1.55
> 20
16.00 ± 0.48
> 20
WM
–
15.62 ± 1.27
>20
45.25 ± 0.68
>20
W
–
20.25 ± 1.90
> 20
51.90 ± 0.76c
20.00
Doxorubicin
96.67 ± 5.77a
03.48 ± 0.35
98.00 ± 0.18a
5.1 ± 0.2
5-FU
99.3 ± 0.90a
5.2 ± 0.23
Vincristine
99.4 ± 0.80a
8.10 ± 0.30
1% DMSO in PBS/sea water
–
–
–
3.3.3.2 In vitro cytotoxicity against THP-1 human leukemia cell line
The cancer represents a complex disease generally related with an array of increasing effects both at cellular and molecular levels. Cancer is the major cause of death after cardiovascular diseases. The anticancer agents from natural sources are of particular interest due to decreased toxicity and more therapeutic efficacy (Kaur et al., 2011). Over 3000 plants have been used in cancer treatment. The anticancer drug discovery started in 1950 with the discovery of vinca alkaloids and podophyllotoxins, the first anticancer agents discovered and isolated from plant (Cragg and Newman, 2005). The plants abound in limitless reserves of secondary metabolites (flavonoids, alkaloids and terpenes) that possess significant anticancer properties (Scheck et al., 2006). Following the results of brine shrimp assay the plant was further evaluated to determine its in vitro cytotoxic potential against THP-1 human leukemia cell line. It can be seen from the Table 5, that the leaf part displayed prominent results with maximum inhibition revealed by W extract i.e., 71.0 ± 0.47% inhibition (IC50 = 8.5 µg/ml) followed by WM extract with 67.53 ± 1.63% inhibition (IC50 = 11.5 µg/ml). In current investigation, the flower extracts displayed no activity against leukemia cells. The stem part displayed the maximum inhibition by EEA and MEA extracts with 91.50 ± 1.70 and 90.0 ± 1.70% inhibition (IC50 = 3.4 and 3.8 µg/ml respectively). While in root extracts MC was found to be the most potent with 70.0 ± 1.25% inhibition (IC50 = 9.4 µg/ml). The other extracts also displayed cytotoxicity with an IC50 > 20 µg/ml. The activity was more in moderately polar solvents as compared to highly polar solvents. The results are in accordance with previous studies in which polar solvent extract (methanol and water) have shown least activity against human amniotic epithelial cell line i.e. FL-cells (Mothana et al., 2010). The cytotoxicity of MEA and EEA can be correlated to apigenin detected by HPLC analysis of plant. Apigenin (4′,5,7-trihydroxyflavone), a dietary flavonoid was reported to have strong cytotoxic effects in various cancer cell lines (breast cancer, colon cancer, lung cancer and neuroblastoma) (Valdameri et al., 2011) and causes apoptosis in monocytic leukaemia cells of human (Arango et al., 2012). According to Jayasooriya et al. (2012), apigenin causes direct toxicity to human leukaemia cells through caspase pathway activation. As the crude extract contains multiple varieties of compounds so it is not justified to assign observed activity to a single compound. The activity might be due to other polyphenols (such as rutin, gallic acid, and myricetin) which have reported anticancer properties. Moreover, the activity in non-polar extracts might be due to the compounds other than those detected by HPLC analysis. This is the first report (to the best of our knowledge) that reports the in vitro cytotoxicity against THP-1 human leukemia cell line. The results suggest that the stem extracts of D. viscosa have significant cytotoxic potential which demands further investigation to isolate bioactive compounds responsible for the observed activity.
3.3.3.3 In vitro cytotoxicity against Hep G2 hepatoma cell line
The significant activity displayed by D. viscosa extracts against human leukaemia cell line, enabled us to check the in vitro cytotoxicity against Hep G2 human hepatoma cell line. The hepatocellular carcinoma (hepatoma) is one of the primary liver cancers. The hepatoma is the fifth most common cancer and third major cause of cancer related deaths (Forner et al., 2006). The hepatoma occurs due to hepatocellular damage caused by reactive oxygen species and generation of chronic inflammation. The main constraint in treatment of hepatocellular carcinoma is the increased tendency to develop multidrug resistant proteins and reduction of apoptotic proteins. Hence it demands the discovery of new chemotherapeutic agents from natural sources (Machana et al., 2012). The results revealed that moderate antiproliferative activity was displayed by all parts with the highest inhibition shown by nH (55.43 ± 0.55%) and WM (54.61 ± 1.7%) extract of flower, AEA extract of leaf (61.75 ± 0.66%) and WA extract of stem (47.8 ± 0.66%) inhibition (Table 5). The EEA extract was found to be the most potent with an average inhibition of 69.46 ± 1.67% (IC50 = 20 µg/ml). The activity was observed both in non-polar and highly polar extracts which suggests that the plant contain a wide variety of phytochemicals having a diverse structural composition. The results are in relevance with the previous findings where M (polar solvent) extract of D. viscosa leaf exhibited activity with an IC50 greater than 50 µg/ml against MDBK (Madin-Darby bovine kidney), MCF-7 (human breast adenocarcinoma), WEHI-164 (mouse fibrosarcoma), Hep G2 (human hepatocellular carcinoma) and A-549 (non-small cell lung carcinoma) cell lines (Esmaeili et al., 2014). The observed anticancer activity might be due to apigenin, rutin, quercetin or other polyphenols detected in plant. According to Cai et al. (2011), the apigenin inhibits the growth of hepatoma cells by arresting the G2 or M phase of cell cycle and induce apoptosis of hepatoma cells. So apigenin might be responsible for the observed activity. This demands the further assessment of active extracts by employing bioactivity guided isolation of active compound responsible for cytotoxic potential. This is the foremost report (to the best of our knowledge) on in vitro cytotoxicity of flower, stem, and root extracts of D. viscosa.
3.3.4 Alpha amylase inhibition
Diabetes mellitus is a heterogeneous group of chronic metabolic disorders characterized by hyperglycaemia. The management of blood glucose level can be achieved either by insulin, oral hypoglycaemic agents or inhibitors of carbohydrate hydrolysing enzymes. The researchers focus on the alternative sources for discovery of new antidiabetic agents due to the adverse effects associated with insulin and oral hypoglycaemics (Patel et al., 2012). Therefore, there is a tremendous need to find and evaluate the inhibitors of enzyme from natural sources. Alpha amylase and alpha glucosidase are involved in metabolism and absorption of carbohydrate. The alpha amylase causes hydrolysis of alpha-1–4, glucosidic linkages of starch and polysaccharides while alpha-glucosidase catalyzes the last step of carbohydrate metabolism. The inhibitors of these enzymes are considered to be valuable agent for diabetic control (Tadera et al., 2006). According to Etxeberria et al. (2012), phenolics and flavonoids have potential to inhibit alpha amylase enzyme. The results of the alpha amylase inhibiton assay are shown by the Fig. 5. The enzyme inhibition activity in EA extract might be due to quercetin a flavonol glycoside detected by HPLC analysis. The documented reports showed that quercetin has potential to inhibit the alpha amylase and alpha glucosidase enzymes (Kim et al., 2000). While the enzyme inhibition in non-polar extracts might be due to some other compounds that include alkaloids, glycosides, and steroids. To the best of our knowledge this is the first report on alpha amylase inhibition potential of D. viscosa extracts.α-amylase inhibition by D. viscosa flower, leaf, stem, and root part extracts. The IC50 of acarbose (positive control) = 33.73 ± 0.12 µg/ml. Values are presented as mean ± standard deviation (n = 3). The columns with different superscript (a-k) letters show significantly (P < 0.05) different means.
In conclusion, the current investigation showed that phytochemical and pharmacological potential of D. viscosa Jacq. depend largely on the polarity of extraction medium used and part of plant under study. In this regard, further isolation and characterization studies should be conducted to proclaim the bioactive phytochemicals with the said bioactivities.
4 Conclusion
In conclusion, the current study highlighted the polarity guided optimization of phytochemical, antioxidant, antimicrobial, cytotoxic and antidiabetic potential of D. viscosa by employing various mono and binary solvent system. Overall, leaf (distilled water + acetone) extract displayed maximum extract recovery, gallic acid equivalent total phenolic content, ascorbic acid equivalent total antioxidant capacity and total reducing power. HPLC-DAD analysis quantified significant amount of polyphenols among different plant parts. Highest free radical scavenging potential was detected in stem (methanol + ethyl acetate extract). A noteworthy antibacterial potential was shown by all extracts. The leaf (ethanol + ethyl acetate extract) was found toxic against brine shrimps while antiproliferative activity against THP-1 and Hep G2 cell lines was recorded ethanol + ethyl acetate extracts of stem and root respectively. A moderate antifungal and α-amylase inhibition were observed in all plant parts. The present study shows selection of plant part and extraction solvent as a crucial variable in biological profiling of medicinal plants. The results of which could be extrapolated for the isolation of lead compounds from ‘Hit’ extracts. The study prospects D. viscosa as a probable source of bioactive entities through bioassay guided isolation.
Author’s contributions
IH conceived, designed, and supervised the study. MNM performed the experiments and prepared the first draft of manuscript. HF helped in performance of antidiabetic and antimicrobial assays and assisted in manuscript write-up. MA helped MNM in the performance and interpretation of cytotoxic assays which include brine shrimp lethality assay, THP-1 and Hep G2 cell line inhibition assays. IF and NK helped in manuscript write-up and critically reviewed the manuscript. BM facilitated the conduction of HPLC-DAD analysis and the interpretation of data.
Acknowledgement
The authors would like to acknowledge the Deanship of Scientific Research, Qassim University, for funding the publication of this project.
Funding source
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
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