Metabolic Health Benefits of Ficus benjamina Extract:
Anti-Obesity effects in a High-Fat Diet-Induced Rat Model
Puneet Kaur, Payal Mittal*, Rajiv Sharma
University Institute of Pharma Sciences, Chandigarh University Gharuan, Mohali, Punjab, India.
*Corresponding Author E-mail: payal.talk2@gmail.com
ABSTRACT:
Obesity is a significant factor contributing to chronic diseases and poses a significant burden on healthcare systems. In the current study investigation of the anti-obesity activity of hydroalcoholic crude extract and the ethyl acetate fraction of Ficus benjamina leaves through in vitro pancreatic lipase inhibition and in vivo High-Fat Diet (HFD)-induced obesity in the Wistar rats. Phytochemical analysis using TLC and HPTLC confirmed the presence of Quercetin (Rf 0.31) and Rutin (Rf 0.73), further characterized by 1H-NMR, 13CNMR and Mass Spectroscopy. Pancreatic lipase inhibition was assessed using p-nitrophenyl palmitate (PNPP) as a substrate, with Orlistat as a standard. At 200µg/ml, the hydroalcoholic extract and ethyl acetate fraction inhibited lipase activity by 70.31% and 74.27%, respectively, compared to 83.6% for Orlistat. The extracts showed dose-dependent inhibition with IC50 values of 74.81 and 65.48µg/ml, respectively. For the in vivo study, the male Wistar rats were fed an HFD for four weeks which were treated with Ficus benjamina extracts (100, 200, 400 mg/kg) and standard Orlistat (30mg/kg/day). Extract treatment significantly reduced the body weight, BMI, Lee index, and feed intake compared to HFD-fed rats. Serum lipid analysis showed a dose-dependent reduction in cholesterol, triglycerides (TG), and very low-density lipoprotein (VLDL) levels. Molecular docking studies revealed strong binding affinities of the bioactive flavonoids with pancreatic lipase, supporting Ficus benjamina as a promising natural anti-obesity agent. Further clinical studies are warranted to explore its therapeutic potential.
KEYWORDS: Ficus benjamina, Anti-obesity, Docking, High-fat diet, Wistar rats.
INTRODUCTION:
Obesity is defined by abnormal accumulation of body fat in the subcutaneous and visceral areas, posing significant health risks1. Its tight relationship to chronic disorders including Type II diabetes and cardiovascular diseases has resulted in an alarming rise in prevalence over the past few decades, placing a significant strain on global healthcare systems. Genetic, environmental, and behavioural variables interact in a complicated way to cause obesity. The main causes of this expanding problem are sedentary lifestyles and high-calorie consumption. While available, the current pharmacological medications for obesity and hyperlipidemia have lessened the burden, underscoring the need for more efficacious interventions2,3.
Studies using rat models have demonstrated that high-fat diets significantly alter lipid profiles and induce insulin resistance, contributing to metabolic dysfunction. For example, obesity induced by high-fat diets in rats has been associated with increased serum fatty acids, leading to lipotoxicity in various organs4. This underscores the intricate connection between dietary fat, lipid metabolism, and the development of obesity-related metabolic disorders5. Ficus benjamina, popularly recognized as weeping fig, is a tropical plant from the Moraceae family, valued for both ornamental and medicinal uses. Native to Southeast Asia and Australia, it contains bioactive compounds such as flavonoids, alkaloids, polyphenols, triterpenoids, and tannins6,7. These constituents contribute to its pharmacological properties, including anti-inflammatory, antioxidant, antidiabetic, and lipid-lowering effects. Notably, Ficus benjamina has shown potential in managing metabolic disorders like obesity by improving lipid profiles and reducing oxidative stress 8,9.
The current study investigates the hydro ethanolic extract of Ficus benjamina for its potential ameliorative effect on obesity markers in the rats subjected to a high-fat diet. This research aims to evaluate efficacy of Ficus benjamina as a therapeutic agent for managing obesity and associated metabolic disorders.
MATERIALS AND METHODOLOGY:
Acquisition and extraction of botanical specimens:
Leaves of Ficus benjamina were collected from the Botanical Garden, Sarangpur, Chandigarh, and authenticated by NISCAIR, New Delhi (Ref: NISCAIR/RHMD/consult/2021/3828-29-1). A total of 1.4 kg of powdered leaves was extracted using 80:20 ethanol-water. The extract was concentrated under reduced pressure at 50–60°C using a rotary evaporator, yielding 26.34g of crude extract, labeled as F1 and stored appropriately10.
Fractionation of Hydroalcoholic Fraction (F1):
The hydroalcoholic extract (F1) of Ficus benjamina was fractionated using sequential solvent extraction with solvents of increasing polarity: n-hexane (F2), ethyl acetate (F3), acetone (F4), and ethanol (F5). F1 was dissolved in ethanol and partitioned using a separating funnel. Each fraction was concentrated and subjected to phytochemical screening to identify secondary metabolites using standard protocols11.
Determination of Phytoconstituents by using HPTLC:
HPTLC (High-Performance Thin-Layer Chromatography) was utilized to quantify phytoconstituents in the hydroalcoholic extract (F1) of Ficus benjamina. Silica Gel 60 F254 plates were utilized for chromatographic separation during the analysis, after pre-activation of the plates using a Linomat-V applicator under nitrogen flow. Plates were prewashed with methanol and activated at 60°C. Sample bands (6 mm) were applied 8 mm from the base at 150nL/s. Chromatographic development used a linear ascending method in a twin chamber saturated with mobile phases: ethyl acetate: toluene: formic acid (3.5:5:0.5) for rutin and toluene: chloroform: methanol (7:2.5:0.5) for quercetin. Densitometric scanning was conducted at 254 nm (quercetin) and 366 nm (rutin) with a CAMAG TLC scanner III12,13.
Assay for the Inhibitory Effect on Pancreatic Lipase Inhibition:
Lipase activity was assessed through the detection of p-nitrophenol release from p-nitrophenyl palmitate at 405 nm using a microplate reader. Porcine pancreatic lipase (1mg/mL) and plant extracts were prepared in Tris-HCl buffer (pH 8.5), with PNPP diluted in acetonitrile: ethanol (1:2)14. The reaction mixture (200µL) contained 0.1mg/mL lipase, 0.167mM PNPP, and varying concentrations (5–200µg/mL) of Ficus benjamina extract and its fractions (F1–F5), with orlistat as a positive control. Reactions were incubated at 30°C, and lipase inhibition was measured in triplicate. IC₅₀ values were calculated to determine the extract concentration required for 50% inhibition15,16,17.
EXPERIMENTAL ANIMALS:
The study employed male Wistar rats (7–8 weeks old), which are acquired from the animal facility of Chandigarh College of Pharmacy, Landran. Male Wistar rats were housed in polypropylene cages (two per cage) under consistent conditions, including a 12-hour light/dark cycle and under a controlled temperature of 25±2°C. All procedures were conducted in accordance with CPCSEA guidelines and approved by the IAEC (Approval No. IAEC/CCP/Feb 2023/13). Obesity was induced using a high-fat diet (HFD), formulated with slight modifications from the composition reported by Srinivasan et al18.
Experimental design and treatment:
This study involved nine groups of six rats each to assess the effects against obesity for the plant Ficus benjamina in High Fat Diet induced obesity. Group I served as the normal control, while Group II received only an HFD. Group III was treated by using orlistat (30 mg/kg, i.p.) alongside HFD. Groups IV–IX received hydroethanolic extract (F1) and ethyl acetate fraction (F3) of F. benjamina at 100, 200, and 400mg/kg doses orally with HFD19. Anthropometric Parameters including BMI, body weight, and Lee index were measured at weeks 4 and 8. Blood samples were collected for biochemical analysis, and adipose tissues were excised, weighed, and examined histologically. Remaining tissues were analyzed for antioxidant (TBARS, SOD, GSH) and liver enzyme (AST, ALT, ALP) levels using standard assay kits20.
IN-SILICO STUDIES: Ligand and Protein Preparation:
Molecular docking was conducted to assess interactions between Ficus benjamina phytoconstituents and selected target receptors. Ligands were prepared using ChemDraw and converted to SDF format. Docking was performed using AutoDock Vina via PyRx 0.8, with additional analysis through ChemOffice 2016 and Discovery Studio 202021-23. Simulations were executed on a DELL workstation with Intel Core i5-12400 CPU ,Ubuntu 22.04 LTS, 8 GB RAM, and an 4 GB Nvidia GeForce RTX 3050 GPU24. The 3D structure of pancreatic lipase (1LPB) was retrieved from Protein Data Bank and then prepared using the Discovery Studio by removing ligands, water, and heteroatoms, followed by hydrogen addition and charge optimization25. Docking was performed in PyRx using AutoDock Vina, with orlistat as the reference. Phytochemicals from Ficus benjamina were converted to PDBQT format and evaluated for binding affinity to assess their pharmacological potential.
RESULTS:
Phyto-chemical evaluation and HPTLC profiling of Leaves extract of F. benjamina:
Phytochemical evaluation of Ficus benjamina leaf extract (F1) confirmed the occurrence of tannins, alkaloids, flavonoids, saponins, and phenolics. HPTLC analysis identified six components, with dominant peaks at Rf values 0.30 and 0.73, corresponding to rutin and quercetin, showing peak areas of 52.22% at 254 nm and 59.28% at 366nm, respectively.
Figure 1-2: Chromatogram of the standards Rutin and Quercetin
Effect of Ficus benjamina extracts on pancreatic lipase inhibition assay:
The anti-obesity potential of Ficus benjamina hydroalcoholic extract and its fractions was evaluated via pancreatic lipase inhibition. Both, crude extract and the ethyl acetate fraction showed dose-dependent inhibition. IC₅₀ values were 74.81µg/mL for extract and 65.48µg/mL for ethyl acetate fraction, compared to 19.13µg/mL for orlistat.
Figure 3. Pancreatic lipase enzyme Inhibition by extract and its different fractions. Orlistat was utilized as positive control *p<0.05.
In-vivo Anti-Obesity Activities:
Change in Body weight, Body mass index and Lee index:
Compared to the normal control group, HFD-fed rats showed a statistically significant (p<0.05) rise in body weight, Lee index, and body mass index. Orlistat effectively reduced these parameters. Similarly, treatment with Ficus benjamina fractions F1 (Hydroalcoholic extract of leaves of F. benjamina) and F3 (Ethyl fraction of leaves of Ficus benjamina.) (100, 200, and 400 mg/kg) induced dose-dependent reduction (p<0.05) in body weight, Lee index, and BMI, comparable to orlistat. (Table 1)
Table 1. Effect of F1 F3 on body weight, BMI and Lee Index
|
Variables |
Initial Body weight(g) |
Final Body weight(g) |
BMI (g/cm2) |
Lee Index(g1/3/cm*1000) |
|
NC |
227.5 ± 3.1 |
281.8 ± 2.7 |
1.35 ± 0.06 |
281.82 ± 4.7 |
|
HFD |
228.3 ± 4.3 |
405.7 ± 9.3a |
1.91 ± 0.08a |
360.50 ± 12.3a |
|
HFD+ Orlistat |
229.1 ± 3.8 |
289.5 ± 7.6b |
1.34 ± 0.06b |
285.20 ± 8.5b |
|
F1+Orlistat(Low) |
228.3 ± 4.2 |
393.5 ± 15.9 |
1.82 ± 0.09 |
352.40 ± 12.2 |
|
F1+Orlistat(Medium) |
231.6 ± 3.4 |
340.8 ± 9.19b |
1.67 ± 0.08b |
329.20 ± 8.79b |
|
F1+Orlistat(High) |
233.3 ± 5.2 |
314.5 ± 8.95b |
1.50 ± 0.09b |
301.30 ± 7.19b |
|
F3+Orlistat(Low) |
228.3 ± 4.6 |
388.3 ± 5.7 |
1.88 ± 0.10 |
352.1 ± 11.6 |
|
F3+Orlistat(Medium) |
235.8 ± 6.6 |
322.8 ± 10.2b |
1.65 ± 0.09b |
324.30 ± 9.8b |
|
F3+Orlistat(High) |
232.5 ± 3.9 |
302.8 ± 12.3b |
1.46 ± 0.08b |
293.60 ± 10.7b |
Findings are expressed as Mean±SD; a=p<0.01 vs NC; b=p<0.05 vs HFD control: Normal Control; NC, High Fat Diet; HFD
Table 2: Effect of F1 and F3 on the serum glucose and serum lipid profile
|
Variables |
NC |
HFD |
HFD+Orlistat |
HFD +F1 (Low) |
HFD +F1 (Medium) |
HFD +F1 (High) |
HFD +F3 (Low) |
HFD +F3 (Medium) |
HFD +F3 (High) |
|
GLU (mg/dl) |
89.17 ± 3.08 |
170.38 ± 11.4a |
98.5 ± 3.6b |
166.2 ± 10.3 |
137.8 ± 5.2b |
105.2 ± 3.6b |
162.3 ± 7.8 |
135.3 ± 6.5b |
102.20 ± 3.8b |
|
TC (mg/dl) |
89.17 ± 4.03 |
170.30 ± 13.26a |
98.50 ± 5.03b |
166.20 ± 8.21 |
137.86 ± 5.25b |
105.20 ± 6.10b |
162.30 ± 9.67 |
135.30 ± 6.72b |
102.20 ± 5.8b |
|
TG (mg/dl) |
69.71 ± 2.90 |
165.33 ± 15.21a |
78.50 ± 4.89b |
126.83 ± 9.23 |
112.30 ± 5.50b |
99.30 ± 5.12b |
122.67 ± 5.02 |
104.50 ± 4.54b |
94.50 ± 5.95b |
|
HDL (mg/dl) |
47.33 ± 3.76 |
15.20 ± 1.24a |
43.40 ± 3.29b |
20.50 ± 2.12 |
28.89 ± 1.25b |
36.83 ± 2.76b |
22.50 ± 1.16 |
29.67 ± 2.07b |
38.33 ± 3.14b |
|
VLDL (mg/dl) |
13.83 ± 1.01 |
33.07 ± 1.9a |
15.70 ± 0.90b |
25.37 ± 1.10 |
22.46 ± 1.03b |
19.86 ± 0.87b |
24.53 ± 1.32 |
20.90 ± 0.93b |
18.90 ± 1.08b |
|
LDL (mg/dl) |
28.01 ± 2.14 |
122.03 ± 8.08a |
39.40 ± 3.12b |
120.83 ± 5.22 |
86.45 ± 5.76b |
48.51 ± 3.05b |
115.27 ± 6.98 |
84.73 ± 4.11b |
44.97 ± 8.28b |
Findings are expressed as Mean±SD; a=p<0.01 vs NC; b=p<0.05 vs HFD control: Normal Contol; NC, High Fat Diet; HFD, F1 Hydroalcoholic extract of leaves of Ficus benjamina, F3 Ethyl fraction of leaves of the Ficus benjamina; GLU; Serum glucose, TC; Total Cholesterol, TG; Triglyceride, HDL; High density lipoproteins, VLDL; Very low density lipoproteins, LDL; Low density lipoproteins.
Table 3: Effect of F1 and F3 on different fat depot and serum liver enzymes
|
Parameters |
MES |
RET |
EPI |
TF |
AST |
ALT |
ALP |
|
NC |
2.91 ± 0.05 |
2.96 ± 0.08 |
2.64 ± 0.06 |
8.51 ± 1.3 |
28.98 ± 1.65 |
21.67 ± 1.67 |
70.23 ± 4.38 |
|
HFD |
9.30 ± 0.96a |
11.45 ± 1.26a |
16.21 ± 1.1 |
36.96 ± 3.8a |
70.56 ± 5.08 |
67.50 ± 3.91a |
142.76 ± 9.29a |
|
HFD+Orlistat |
3.70 ± 0.7b |
4.20 ± 0.6b |
2.98 ± 0.5 |
10.88 ± 1.2b |
32.56 ± 2.2 |
27.80 ± 1.9b |
77.67 ± 3.8b |
|
HFD +F1(Low) |
9.0 ± 0.9 |
10.90 ± 1.21 |
15.27 ± 2.35 |
35.17 ± 5.3 |
68.90 ± 3.5 |
63.20 ± 5.4 |
136.54 ± 9.32 |
|
HFD +F1 (Medium) |
7.10 ± 0.8b |
8.86 ± 0.5b |
11.13 ± 1.04 |
27.08 ± 4.3b |
52.70 ± 3.87 |
49.67 ± 3.3b |
108.40 ± 5.3b |
|
HFD +F1 (High) |
5.10 ± 0.4b |
6.20 ± 0.6b |
8.56 ± 1.12 |
19.86 ± 3.2b |
39.50 ± 3.12 |
32.65 ± 2.4b |
91.43 ± 6.8b |
|
HFD +F3(Low) |
8.90 ± 0.9 |
10.46 ± 1.05 |
14.78 ± 1.7 |
34.14 ± 4.4 |
66.89 ± 4.4 |
60.76 ± 3.1 |
132.78 ± 8.01 |
|
HFD +F3 (Medium) |
6.90 ± 0.8b |
8.56 ± 0.9b |
10.77 ± 0.8 |
26.23 ± 3.9b |
50.77 ± 2.6 |
43.87 ± 2.9b |
100.45 ± 4.1b |
|
HFD +F3 (High) |
4.60 ± 0.5b |
5.67 ± 0.3b |
6.43 ± 0.7 |
16.70 ± 2.5b |
36.70 ± 1.9 |
28.40 ± 2.1b |
85.98 ± 6.6b |
Findings are expressed as Mean±SD; a=p<0.01 vs NC; b=p<0.05 vs HFD control. NC: Normal Contol: HFD; High Fat Diet: F1: Hydroalcoholic extract of leaves of Ficus benjamina; F3: Ethyl fraction of leaves of Ficus benjamina; Mesenteric: MES; Retroperitoneal: RET; Epididymal: EPI; Total Fat: TF
Changes in the serum biochemical markers:
A High-Fat Diet (HFD) significantly (p<0.05) elevated various markers like TC, TG (etc) levels while reducing the HDL levels compared to normal controls. Orlistat, used as a reference, effectively normalized these parameters. Treatment with Ficus benjamina extracts (F1 and F3) at 100, 200, and 400 mg/kg/day has resulted dose-dependent improvement in lipid profile and glucose levels, showing comparable efficacy to orlistat. (Table 2)
Changes observed in the weight of different fat depots:
Rats fed with High Fat Diet, has shown a significant increase in retroperitoneal, epididymal, and mesenteric fat pad weights. Treatment with Ficus benjamina fractions F1 and F3 (100, 200, and 400 mg/kg/day) significantly (p<0.05) reduced fat pad weights with increasing dose as compared to the HFD control group (Table 3)
Effect on plasma liver function:
HFD-fed rats exhibited a significant (p<0.05) increase in the liver enzymes: AST, ALT, and ALP in contrast to the normal control group. Orlistat significantly improved these markers. Similarly, treatment with Ficus benjamina fractions F1 and F3 (100, 200, and 400 mg/kg/day) led to a dose-dependent, significant (p<0.05) reduction of liver enzyme levels, indicating improved hepatic function (Table 3).
HISTOPATHOLOGY:
Adipose tissue in the normal group showed well-organized architecture with normal adipocytes and minimal fat accumulation. HFD-fed rats displayed significant adipocyte hypertrophy and fat deposition. Treatment with orlistat reduced adipocyte size and fat accumulation. Similarly, Ficus benjamina extracts F1 and F3 (100, 200, 400 mg/kg/day) significantly (p<0.05) improved adipose morphology and reduced fat deposition, comparable to the standard drug.
Figure 4. Histopathology studies.
A- histopathological sample of rat tissue of normal group which shows normal cell structure. B- histological sample of rat tissue, treated with high fat diet (HFD) which shows significant cellular degeneration and adipose tissue deposition. C- histological sample of rat tissue treated with standard drug orlistat (30mg/kg), which shows decreased of cellular degeneration and adipose tissue deposition. D- show Low dose (100mg/kg)E- shows treatment with medium dose (200mg/kg) and F- shows treatment with high dose (400mg/kg).
COMPUTATIONAL STUDIES:
Docking scores, including hydrogen and hydrophobic interactions with corresponding bond lengths between target proteins and selected phytoconstituents, is -5.7,-7.7,-9.4 and -8.7kcal mol-1 for caffeic acid, quercetin, ruin and stigmasterol respectively. Complex formation scores were calculated using AutoDock Vina in PyRx and visualized with Discovery Studio.
Figure 5 Docking pose and 2D and 3D interaction of different phytoconstituents against 1LPB protein
DISCUSSION:
This study explored the anti-obesity potential of Ficus benjamina leaf extract using in vitro, in vivo, and in silico approaches. The hydroalcoholic extract (F1) and its ethyl acetate fraction (F3) were assessed for pancreatic lipase inhibition and their impact on lipid metabolism in HFD-induced obese rats. The phytochemical evaluation confirmed alkaloids, flavonoids, phenolics, tannins, and saponins in the crude extract, with HPTLC identifying rutin and quercetin as major constituents26,27.
Both F1 and F3 showed dose dependent lipase inhibitory action, with IC₅₀ values of 74.81 and 65.48µg/mL, respectively, compared to 19.13µg/mL for orlistat. F1 and F3 significantly (p<0.05) reduced the Body weight, Body Mass Index, Lee index, and fat depot weights in increasing dose-dependent manner, comparable to orlistat. They also improved lipid profiles and normalized liver enzymes (AST, ALT, ALP), indicating hepatoprotective effects. Histological analysis confirmed reduced adipocyte size and fat accumulation in treated groups.
Molecular docking revealed strong binding affinities of quercetin and rutin to obesity-related targets, supporting their role in the observed pharmacological activity. These findings highlight Ficus benjamina as a promising candidate for managing obesity and related metabolic disorders.
CONCLUSION:
The hydroethanolic extract of Ficus benjamina (HELEFB) demonstrated promising anti-obesity potential in HFD -induced obese rats. The extract significantly improved overall metabolic health, including weight management, lipid regulation, and antioxidant defence. Its therapeutic effects on reducing oxidative stress and enhancing liver function further highlight its potential as a natural remedy for combating obesity and associated metabolic disorders. These findings suggest that Ficus benjamina could be an effective, plant-based intervention for obesity management.
ACKNOWLEDGMENT:
Author would like to acknowledge Chandigarh University, Gharuan and Chandigarh College of Pharmacy, Landran, Mohali.
CONFLICT OF INTEREST:
Author declares no conflicts of interest.
REFERENCES:
1. Agrawal B. Gupta BK. Sahu SK. Synthesis, Characterization and Biological Evaluation of some new Isoxazole and Pyrazole compounds for Anti-obesity drug: Research Journal of Pharmacy and Technology. 2023; 16(8): 3837-42https://doi.org/10.52711/0974-360X.2023.00633
2. Al-Thepyani M. Algarni S. Gashlan H. Elzubier M. Baz L. Evaluation of the anti-obesity effect of zeaxanthin and exercise in HFD-induced obese rats: Nutrients. 2022; 14(23): 4944. https://doi.org/10.3390/nu14234944
3. Nithyakala P. Sathyaprabha G. Venila J. Study on Efficacy of Topiramate: Impact on weight Loss in Obese patients: Research Journal of Pharmacy and Technology. 2021; 14(3): 1565-70 http://dx.doi.org/10.5958/0974-360X.2021.00276.6
4. Sourav V. Anupama N. Nayanatara AK. Pai KC. Sowndarya K. Effect of intermittent fasting and complete fasting on biochemical and histological parameters in high fat high sugar induced rat model of obesity: Research Journal of Pharmacy and Technology. 2022; 15(11): 5094-8 http://dx.doi.org/10.52711/0974-360X.2022.00856
5. Martinelli I. Tayebati SK. Roy P. Micioni Di Bonaventura MV. Moruzzi M. Cifani C. Amenta F. Tomassoni D. Obesity-related brain cholinergic system impairment in high-fat-diet-fed rats: Nutrients. 2022; 14(6): 1243. https://doi.org/10.3390/nu14061243
6. Jain A. Ojha V. Kumar G. Karthik L. Rao KV. Phytochemical composition and antioxidant activity of methanolic extract of Ficus benjamina (moraceae) leaves: Research Journal of Pharmacy and Technology. 2013; 6(11): 1184-9.
7. Parashar D. Meena AK. Sharma M. Flavonoids-A Review on Natural Antioxidants: Research Journal of Pharmacy and Technology. 2023; 16(10): 4952-8 http://dx.doi.org/10.52711/0974-360X.2023.00802
8. Imran M. Rasool N. Rizwan K. Zubair M. Riaz M. Zia-Ul-Haq M. Rana UA. Nafady A. Jaafar HZ. Chemical composition and biological studies of Ficus benjamina: Chemistry Central Journal. 2014; 8: 1-0. https://doi.org/10.1186/1752-153X-8-12
9. Khan F. Afzal S. Khursheed A. Saeed B. Zahra S. Majeed H. sheraz Qureshi M. Qureshi MS. Qureshi MI. Abid HM. Phytochemical profiling and therapeutic potential of Ficus benjamina L.: Insights into anticancer and anti-inflammatory activities: Journal of Health and Rehabilitation Research. 2024; 4(2): 270-5. https://doi.org/10.61919/jhrr.v4i2.817
10. Kaneria M. Kanani B. Chanda S. Assessment of effect of hydroalcoholic and decoction methods on extraction of antioxidants from selected Indian medicinal plants: Asian Pacific Journal of Tropical Biomedicine. 2012; 2(3): 195-202..https://doi.org/10.1016/S2221-1691(12)60041-0
11. Rahama MS. Mashi AL. Phytochemical and anti-bacterial studies of the fruit extract of Ficus benjamina (L.): Int J Eng Res. 2015; 6(7): 1388-91.
12. Alshaal S. Daghestani M. Karabet F. Determination of the isolated Rutin And Quercetin Contents In Syrian Ficus Carica L. Leaves Extracts: Journal of the Turkish Chemical Society Section A: Chemistry. 2019; 7(1): 197-206. https://doi.org/10.18596/jotcsa.622442
13. Shah MS. Dama GY. Development and validation of high-performance thin layer chromatography method for simultaneous determination of gallic acid and quercetin from Annona squamosa L. leaf extract: Research Journal of Pharmacy and Technology. 2024; 17(3): 1200-6. https://doi.org/10.52711/0974-360X.2024.00187
14. Espir A. Abajy MY. Nayal R. Investigating the effect of Pinus brutia bark on Pancreatic lipase and adiposity index in high-fat diet induced obese rats: Research Journal of Pharmacy and Technology. 2023; 16(4): 1644-5010. doi 52711/0974-360X.2023.00269
15. Rubab M. Chelliah R. Oh DH. Screening for antioxidant activity: Diphenylpicrylhydrazine (DPPH) assay: Methods in actinobacteriology. 2022: 453-4. https://doi.org/10.1007/9
16. Shimada Y. Watanabe Y. Sugihara A. Tominaga Y. Enzymatic alcoholysis for biodiesel fuel production and application of the reaction to oil processing: Journal of Molecular Catalysis B: Enzymatic. 2002; 17(3-5): 133-42. https://doi.org/10.1016/S1381-1177(02)00020-6
17. Birari R. Roy SK. Singh A. Bhutani KK. Pancreatic lipase inhibitory alkaloids of Murraya koenigii leaves: Natural Product Communications. 2009; 4(8): 1934578X0900400814.https://doi.org/10.1177/1934578X0900400814
18. Srinivasan K. Viswanad B. Asrat L. Kaul CL. Ramarao PJ. Combination of high-fat diet-fed and low-dose streptozotocin-treated rat: a model for type 2 diabetes and pharmacological screening: Pharmacological Research. 2005; 52(4): 313-20. https://doi.org/10.1016/j.phrs.2005.05.004
19. Selvakumar M. Chinniah V. Thiagarajan VR. Antiobesity activity of Ficus religiosa on high fat diet induced model: Research Journal of Pharmacy and Technology. 2015; 8(6): 679-82.http://dx.doi.org/10.5958/0974-360X.2015.00107.9
20. Jagadeeshwar K. Kulandaivelu U. Alavala RR. Rao GS. Prasanth DS. Sreeharsha N. Evaluation of Anti-obesity of Pithecellobium dulce against high fat diet Induced Obesity in Experimental Animals: Research Journal of Pharmacy and Technology. 2021; 14(3): 1447-5210. 5958/0974-360X.2021.00258.4
21. Subramani AK. Sivaperuman A. Natarajan R. Bhandare RR. Shaik AB. QSAR and molecular docking studies of pyrimidine-coumarin-triazole conjugates as prospective anti-breast cancer agents: Molecules. 2022; 27(6): 1845. https://doi.org/10.3390/molecules27061845
22. Lagu SB. Yejella RP. Nissankararao S. Bhandare RR. Golla VS. Subrahmanya Lokesh BV. Rahman MM, Shaik AB. Antitubercular activity assessment of fluorinated chalcones, 2-aminopyridine-3-carbonitrile and 2-amino-4H-pyran-3-carbonitrile derivatives: in vitro, molecular docking and in-silico drug likeliness studies: Plos One. 2022; 17(6): e0265068. https://doi.org/10.1371/journal.pone.0265068
23. Release S. 1: Desmond Molecular Dynamics System, DESR, New York, NY, 2020. Maestro-Desmond Interoperability Tools, Schrödinger, New York, NY. 2021.
24. Berman HM. Westbrook J. Feng Z. Gilliland G. Bhat TN. Weissig H. Shindyalov IN. Bourne PE. :The protein data bank. Nucleic Acids Research. 2000; 28(1): 235-42. https://doi.org/10.1093/nar/28.1.235
25. Gandhi SP. Gawahne AR. Nanda RK. Chitlange SS. In-vitro and In-silico approach to study Phyllanthus amarus extract against Obesity: Research Journal of Pharmacy and Technology. 2019; 12(12): 6091-6. http://dx.doi.org/10.5958/0974-360X.2019.01058.8
26. Manna P. Jain SK. Obesity, oxidative stress, adipose tissue dysfunction, and the associated health risks: causes and therapeutic strategies: Metabolic syndrome and related disorders. 2015; 13(10): 423-44. https://doi.org/10.1089/met.2015.0095.
27. Panic A. Stanimirovic J. Sudar-Milovanovic E. Isenovic ER. Oxidative stress in obesity and insulin resistance: Exploration of Medicine. 2022; 3(1): 58-70. https://doi.org/10.37349/emed.2022.00074.
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Received on 06.04.2025 Revised on 09.08.2025 Accepted on 15.11.2025 Published on 03.04.2026 Available online from April 06, 2026 Research J. Pharmacy and Technology. 2026;19(4):1625-1630. DOI: 10.52711/0974-360X.2026.00232 © RJPT All right reserved
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