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Original Article
:19;
5512025
doi:
10.25259/AJC_551_2025

In silico molecular docking analysis of potential antilipidemic bioactive constituents of Coriandrum sativum root extract using GC-MS

College of Pharmacy, Prince Sattam Bin Abdul aziz University, Alkharj, Alkharj, Saudi Arabia
Department of Clinical Practice, College of Pharmacy, Jazan University, Jazan, Saudi Arabia
Faculty of Pharmacy, Integral University, Kursi Road, Lucknow, Uttar Pradesh, India
Department of Pharmacy, Banasthali Vidyapith, Banasthali, Jaipur, Rajasthan, India
Department of Pharmacognosy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia
Department of Pharmacognosy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia

*Corresponding author: E-mail address: arifxyz@iul.ac.in (M. Arif)

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

Abstract

The family Umbelliferae has many phytochemicals, predominantly in the roots of many species. While various studies have been conducted on phytochemical constituents and pharmacological activities of Coriandrum sativum leaves, very few explore the roots. This research aims to explore the composition of the ethanolic extract of Coriandrum sativum roots (ECSR) and its anti-lipidemic activity. The Perkin-Elmer GC Clarus 500 system was used for gas chromatography-mass spectrometry (GC-MS) analysis, while anti-obesity effects resulting from a high-fat diet (HFD) paradigm in Sprague Dawley (SD) rats were used to assess the effects of ECSR. The experimental group of animals received the ECSR orally at doses of 100 and 200 mg/kg body weight, respectively. We measured parameters such as food intake, body mass index (BMI), body weight (BW), organ weight, and blood serum profiles like total cholesterol (TC), total triglycerides (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), very low-density lipoproteins (VLDL), and atherogenic index (AI). Superoxide dismutase (SOD), glutathione (GSH), glutathione peroxidase (GPx), and Thiobarbituric Acid Reactive Substances (TBARS) assay are some oxidative stress markers associated with it. The compounds of the ECSR were screened, and some of them showed a promising effect in curing obesity. These compounds include things like 1,3-Propanediol, 2-ethyl-2-(hydroxymethyl), 3-tridecanol, and others. When individuals were introduced to the high-fat meal, it upset their bodies, therefore changing their weight and their lipid levels. But when they tried the ECSR therapy, it seemed to make a real difference in managing the obesity. The results show a promising effect on obesity; thus, these compounds could help battle obesity. C. sativum includes a variety of bioactive compounds that show incredible activity against different disorders, including obesity. It is highly endorsed as a phytopharmaceutical herb for the purpose of treating obesity.

Keywords

Antilipidemic activity
Coriandrum sativum
Docking
Ethanol extract
GC-MS analysis

1. Introduction

Obesity is the principal cause of debility in several disease conditions, primarily cardiovascular diseases, diabetes, cancer, and osteoarthritis [1]. It is a foremost preventable reason for global death, with cumulative rates in adults and children [2]. In a review in 2015, 60 crore (600 million) adults and 10 crore (100 million) children were obese in 195 countries [3]. It is characterized by various degrees of adiposity and the presence of co-existing medical conditions, and is associated with an accelerated life expectancy of 2 to 20 years, depending on the severity of the obesity [4].

Coriandrum sativum is a perennial herb (Umbelliferae), grown all over India, mainly in Gujarat, Maharashtra, Uttar Pradesh, Punjab, West Bengal, etc. [5]. The ethanol extract of C. sativum is utilized extensively due to its production of various phytoconstituents, including flavonoids, phenolic acids, and essential oils, which are recognized for their pharmacological properties [6]. They have significant potential to treat life-threatening diseases like cardiovascular, angiotensin-converting enzyme (ACE)-inhibiting, and anti-hyperlipidemic [7]. C. sativum (Figure 1) is safe and widely used in traditional diets, with ethanol extracts demonstrating low toxicity in numerous investigations, confirming its dietary and medicinal uses [6]. The plant produces important phytoconstituents, coriandrol oil, which is useful in the preparation of various pharmaceutical products, used to relieve digestive complications, stomachache, antidiabetic, anti-inflammatory, anticancer, and also used to reduce the cholesterol level [6]. Its oil mainly contains β-sitosterol & stigmasterol, which act on the dietary cholesterol absorption [8]. Research indicates that plant sterols and stanols can inhibit liver cholesterol deposition, promote the excretion of neutral fecal sterols, and decrease intestinal cholesterol absorption [9].

Fresh Coriandrum sativum L. roots.
Figure 1.
Fresh Coriandrum sativum L. roots.

C. sativum has been widely recognized for its numerous health benefits, including its ability to protect the liver, combat cancer, reduce inflammation, lower blood sugar levels, and act as an antioxidant. Additionally, it has been shown to possess cholesterol-lowering effects. However, there have been no comprehensive studies conducted on the phytochemical makeup and anti-obesity properties of the roots of this plant. Our study focused on C. sativum because it has a lot of phytochemicals and has been used in traditional medicine for a long time. Flavonoids, phenolic acids, and essential oils are some of the bioactive compounds found in it. These compounds have antioxidant, antimicrobial, anti-inflammatory, and digestive qualities. It is also easy to find, safe to eat, and has been shown to have pharmacological potential, all of which make it a good option for further research. Therefore, the current study was designed to analyze the root phytoconstituents using the gas chromatography-mass spectrometry (GC-MS) technique and to evaluate the anti-obesity potential of the C. sativum roots induced with the HFD diet in an experimental animal model. Therefore, we aim to provide scientific evidence and highlight the importance of these roots, which farmers and users have traditionally discarded. These findings may help develop safe, natural, and cost-effective treatments for many health issues, bridging traditional knowledge with modern pharmaceutical applications.

2. Materials and Methods

2.1. Plant specimen acquisition and authenticity

C. sativum roots were confidently gathered from the local spice garden of Paikaramau, Kursi Road in Lucknow, in December 2018. These roots were subsequently authenticated by the National Botanical Research Institute (NBRI) in Lucknow (NBRI/CIF/668/2018).

2.2. Drugs and chemicals

Biochemical kits for evaluation of total cholesterol (TC), high-density lipoprotein (HDL), triglycerides (TG), and low-density lipoprotein (LDL) were procured from Agappe Diagnostic Ltd., Kerala, INDIA. Further chemicals and analytical-grade solvents, methanol, ethanol, and chloroform, were purchased from SD Fine Chemicals Ltd. The Standard Orlistat approved by the US-FDA is purchased from Quantum In. 64 C, Virat Khand Rd, Kamta, Lucknow, U.P., was used for anti-obesity and anti-adiposity drugs [10].

2.3. Preparation of extract

Coriandrum sativum roots (250 g) were thoroughly rinsed with tap water, and the earthy stuff was scraped out with a sharp knife. The roots are dried in the shade at ambient temperature for 4 weeks before being pulverized into a coarse powder (88.5 g). The Soxhlet apparatus was used for the extraction of powdered root (50 g) with 250 mL of ethanol. A rotary evaporator was used to evaporate the filtrate at 40°C under reduced pressure until it became dry, yielding 1.85 g (3.7% w/w) of ethanol extract [11]. Chemical tests and GC-MS analysis were employed to qualitatively and quantitatively assess the bioactive phytochemicals present in the ethanolic extract of C. sativum roots (ECSR) [12].

2.4. GC-MS analysis

The GC-MS analysis of the ECSR was carried out using the PerkinElmer GC Clarus 500 system. This system included an AOC-20i autosampler and a gas chromatograph-mass spectrometer. The GC column used was an Elite 5MS, which is a specific type of column with certain characteristics. Helium gas, with a very high level of purity, was used as the carrier gas at a steady flow rate. The process involved maintaining the column at a steady temperature while the sample was analyzed. The ionization generator was set to electron bombardment mode at 70 eV. Throughout the analysis, 250°C was the oven temperature, whereas 200°C and 250°C were designated as the ion and reaction temperatures, respectively. Mass spectra were attained by using Turbo-Mass ver-5.2, with the mass instrument being Turbo-Mass Gold-Perkin-Elmer. The revenue percentage for each component was determined based on the maximum average across the entire region. The GC-MS analysis lasted for 30 min, including a weighing delay of 0 to 2 min. A GC Clarus 500 system with an AOC-20i autosampler and GC-MS was utilized for analysis. The system utilized an Elite 5MS coupling with a capillary line measuring 30 x 0.25 µm ID x 0.25 µm df. The carrier gas was helium with a 99.999% purity, flowing at a steady rate of 1 mL/min and 2 µL (comparative ratio 10:1). The ionization generator functioned in electron bombardment mode with an ionization energy of 70 eV. The oven temperature was established at 250°C, the ion temperature at 200°C, and the reaction temperature was sustained at 250°C. Mass spectra were acquired using Turbo-Mass version 5.2, with the mass spectrometer being Turbo-Mass Gold-Perkin-Elmer [13].

2.5. Identification of phytocomponents

Examining the GC-MS mass spectrum means tapping into the extensive NIST (National Institute of Standards and Technology) database, which holds around 62,000 samples. Researchers recognized the components’ names, molecular weights, and structures by comparing the unknown sample’s spectrum to the NIST library’s [14].

2.6. Molecular docking of identified compounds with 4qho

2.6.1. Protein preparation

FTO’s 3D crystallographic structure was attained from the RCSB Protein Data Bank (PDB) database (PDB ID: 4aqho). The protein structure changes include adding misplaced atoms into incomplete residues, modeling misplaced loop sections, deleting assertion substitutions, proton titration residues, removing heteroatoms, inserting hydrogen atoms, and assigning standardized atomic names. The Chemistry at HARvard Macromolecular Mechanics (CHARMM) force field-based molecular dynamics method was used to prepare the required protein. The desired compounds or ligands’ structures were drawn using ChemDraw Professional 15.1 software. The storage of generated files was in Mol format.

2.6.2. Protein-ligand docking

Computational studies, such as molecular docking employing methods like Lib Dock (Accelrys Discovery Studio Version 2.0 software) and structural activity relationship systems (SAREP), can be utilized to better understand the binding orientations of molecules and their interactions with the FTO receptor. The “Best” confirmation strategy, which employs a polling algorithm that offers a varied set of confirmations with low energy, was applied. This research assessed the top ten postures the representatives displayed in their docking to the dynamic site of the required proteins to evaluate the characteristics of all the interactions with the target [15-16].

2.7. Animals

Sprague Dawley rats (30 female, 140-160 g) purchased from Central Drug Research Institute, Lucknow, Uttar Pradesh, India, were kept in standard laboratory conditions. The rats were fed a commercial meal and unrestricted access to water. For the rats to get used to their new environment, they were allowed to spend a week in the lab before the experiment started. The experiments were done under the IAEC approval number (IU/IAEC/19/13).

2.8. Schedule for the experiment

Following 7 days of familiarization, the animals were randomly allocated to either the normal or overweight group and fed either a normal pellet diet (NPD) or a high-fat diet (HFD), correspondingly, and permitted to consume whatever they pleased for another week [17]. The HFD (Harlan Teklad TD93075) contains fat (54.8%), carbs (24.0%), protein (21.2%), and several vitamins and minerals. The rats were categorized into five groups, each consisting of six animals. The control group was fed a regular diet and normal saline, group II was fed an HFD, and groups III and IV were given 100 and 200 mg/kg per day orally of CSRE, while group V received the standard drug 5 mg/kg. Each group, except the control group, was given the HFD for 10 days, and then III, IV, and V groups were given the tested drug simultaneously with HFD on the last day of the experiment (28 days). On the 29th day, the rats were evaluated for the physical parameters, and anesthetized with ketamine hydrochloride to determine their biochemical and enzymatic parameters [18].

2.9. Assessment of physical parameters

2.9.1. Body weight and food intake

According to Ordonez et al. (2006), evaluate these parameters of each group was recorded weekly for 28 days [19].

2.9.2. Estimation of body mass index (BMI)

The animal’s body length (nose-anus) and weight had been measured weekly with the use of an electronic weighing balance and ruler. The BMI of rats was calculated using of following formula.

2.9.3. Assessment of relative organ mass

The organs, mainly the liver, kidneys, spleen, heart, lungs, and brain, respectively, were carefully dissected and weighed, and kept in 10% formalin. The organ weight in relation to the body was estimated [20].

2.10. Determination of lipid serum profile and biochemical parameters

On day 29, experimental rats were anesthetized with ketamine hydrochloride, blood was withdrawn through the tail vein, and the collected blood sample was centrifuged at 3000 rpm, blood serum was separated. Biochemical markers, including cholesterol, TG, very low-density lipoprotein (VLDL), LDL & HDL, and (AI) atherogenic index, were measured [21].

2.11. Antioxidant parameters

2.11.1. Estimation of SOD

This approach involves testing superoxide dismutase’s (SOD) capacity to prevent superoxide-mediated reduction. To quantify SOD activity, the quantity of SOD necessary to inhibit pyrogallol oxidation by 50% was calculated and represented as units per gram of hemoglobin (unit/g Hb) and per milligram of protein (unit/mg protein) from the tissue sample [22].

2.11.2. Estimation of GSH

The technique involves the consumption of 5, 5-dithiobis (2-nitrobenzoic acid) in conjunction with less glutathione, resulting in the formation of a yellow molecule. The quantity of decreased chromogen is proportional to the concentration of glutathione (GSH), and its absorbance was quantified at 405 nm [23].

2.11.3. GPx

NADPH and oxidized substrate are anticipated at 340 nm. Glutathione peroxidase (GPx) activity is assessed by the quantity of NADPH oxidized per mg of protein per minute. The GPx (glutathione peroxidase) activity was estimated using the Mohandas et al. technique [24].

2.11.4. Estimation of TBARS

The outcomes are presented as nanomoles of thiobarbituric acid reactive compounds (nM TBARS) per milligram of material generated per minute. The absorbance at 535 nanometers was acquired, and a lipid peroxidation experiment was conducted using a specified technique [25].

2.12. Statistical analysis

The findings are provided as the mean ± Standard Error of the Mean (S.E.M.). and ± SD for six rats. Graph Pad Prism 2.01 was used to do a one-way analysis of variance (ANOVA) followed by Dunnett’s test. If the p-value < 0.05, the results were deemed significant.

3. Results and Discussion

3.1. Identification of phytocomponents

The crucial step of isolating and assessing plant components is a vital aspect of formulating herbal remedies to ensure consistency and quality assurance. To achieve this objective. The study used GC-MS to detect and validate bioactive components in C. sativum root ethanolic extract (Figure 2). Twelve phytocomponents were present in the ethanol extract of C. sativum roots (Table 1 and Figure 3). The identified compounds comprising phenolic compounds, volatile oils, steroids, and terpenoid compounds namely 1,3-propanediol,2-ethyl-2-(hydroxymethyl) (72.54%), 3-tridecanol (3.94%), (E)-tetradec-2-enal (6.97%), 3-tridecanol (7.58%), cyclohexane,1,4-diethoxy, trans (1.52%), (E)-hexadec-2-enal (0.85%), Hexadecanoic acid, methyl ester (0.75%), cyclohexane, 1,4-diethoxy, cis (0.42%), 11,14-eicosadienoic acid, methyl ester (1.30%), squalene (0.20 %), stigmasta-5,23-dien-3-ol, (3.beta.) (2.53%) and stigmast-5-en-3-ol, (3. Beta., 24S) (1.39%).

Phytocomponents recognized in the methanol extract of C. sativum root.
Figure 2.
Phytocomponents recognized in the methanol extract of C. sativum root.
Table 1. Phyto-components identified in the ethanol extract of C. sativum (Coriander) root through GC-MS.
Peak no. RT (min.) Area % Compounds name Nature of compounds
1 9.175 72.54 1,3-Propanediol,2-ethyl-2-(Hydroxymethyl)

Terpene alcohols

(Volatile oils)

2 9.816 3.94 3-Tridecanol Terpene alcohols (Volatile oils)
3 11.181 6.97 (E)-Tetradec-2-enal

Terpene aldehyde

(Volatile oils)

4 11.936 7.58 3-Tridecanol Terpene alcohols (Volatile oils)
5 12.281 1.52 Cyclohexane,1,4-diethoxy, trans

Terpene ether

(Volatile oils)

6 13.617 0.85 (E)-Hexadec-2-enal Terpene aldehyde (Volatile oils)
7 13.849 0.75 Hexadecanoic acid, methyl ester Saturated fatty acid
8 14.197 0.42 Cyclohexane, 1,4-Diethoxy, Cis

Terpene ether

(Volatile oils)

9 15.483 1.30 11,14-Eicosadienoic acid, methyl ester Unsaturated fatty acid
10 21.099 0.20 Squalene Triterpenes
11 24.792 2.53 Stigmasta-5, 23-Dien-3-ol, (3.Beta.) Steroids
12 25.479 1.39 Stigmast-5-en-3-ol, (3. Beta.,24S) Steroids
Phytocomponents identified in the methanolic ECSR by GC-MS.
Figure 3.
Phytocomponents identified in the methanolic ECSR by GC-MS.

3.2. Molecular docking (MD): The chemicals’ binding interactions with the fat mass and obesity associated protein (FTO)

To examine the coupling interactions with the FTO receptor, MD was performed using the identified compounds from F1 (Code for sample or extract etc.) viz. (1), (2), (3), (5), (6), (7), (8), (9), (10), (11), and (12). The results of the binding affinity (docking scores) and hydrogen bonding catalytic residue for the chosen compounds against FTO (PDB identification: 4qho) have been provided in Table 2. The analysis revealed that 1,3-propanediol-2-ethyl-2-(hydroxymethyl) (1) was the most active and powerful compound, with its binding mode showing that the hydroxyl groups of the 1,3-propanediol moiety formed hydrogen bonds with ASP233, HIS307, and HIS231, while the oxygen atom bonded with ARG322. Additionally, the 2-(hydroxymethyl) group of 1 formed a hydrogen bond with ASN205 and displayed an alkyl interaction with VAL309 on the active site of the FTO receptor. The binding connections of 3-Tridecanol (2) with the FTO receptor displayed a hydrogen bond with SER318, and hydrophobic interactions, including alkyl and π-alkyl interactions, were also formed with LEU203, VAL228, HIS231, TYR108, and VAL309. Similarly, the binding affinity of cyclohexane-1, 4-diethoxy-trans (5), (E)-hexadec-2-enal (6), and cyclohexane-1, 4-diethoxy, cis (8) demonstrated formation of a hydrogen bond with ARG316 and TYR295. Moreover, the ethoxy group attached to the cyclohexane ring of 5 and 8 exhibited a hydrophobic bond interaction with VAL94, VAL228, VAL244, HIS307, and MET297. Also, the cyclohexane ring of the above isomers illustrates a strong π-σ interaction with VAL309. Furthermore, binding interactions of (E)-tetradec-2-enal (3), hexadecanoic acid-methyl ester (7), and 11, 14-eicosadienoic acid-methyl ester (9) demonstrated hydrogen bonding with ARG322, ARG96, and TYR106, and the methyl ester group of compounds 7 and 9 also revealed hydrogen bond interactions with TYR295 and HIS231 residues of the FTO protein. Additionally, these compounds displayed σ-πinteraction with HIS231 and hydrophobic alkyl and π-alkyl interactions with PRO93, VAL228, LEU109, TYR108, TYR106, and VAL309 on active sites of the FTO receptor. In the case of compounds 10, 11, and 12, no binding interactions were observed with the FTO receptor (Figures 4a-g).

Table 2. Docking scores, amino acid residues, and H-bond distances of the identified compounds.
Compound Docking score (Kcal/mol) Amino acid residues H-Bond distance
1 -8.6

O-ARG322

H-ASP233

H-HIS231

H-HIS307

H-ASN205

3.323479

2.39477

2.34403

2.86729

2.12754

2 -7.7 H-SER318 2.49226
3 -7.4

O-TYR106

O-ARG322

2.90477

3.25794

5 -8.0

C-TYR295

O-ARG316

3.45145

2.87792

6 -6.7 O-TYR295 3.23082
7 -8.9

O-ARG322

O-ARG96

H-HIS231

3.06966

3.0601

3.66437

8 -7.8

C-TYR295

O-ARG316

3.43735

2.91523

9 -8.7

O-ARG322

C-TYR295

3.33264

3.47008

Docking analysis (a) Compound 1 with FTO, (b) Compound 2 with FTO, (c) Compound 3 with FTO, (d) Compound 5 with FTO, (e) Compound 6 with FTO, (f) Compound 7 with FTO, (g) Compound 8 with FTO.
Figure 4.
Docking analysis (a) Compound 1 with FTO, (b) Compound 2 with FTO, (c) Compound 3 with FTO, (d) Compound 5 with FTO, (e) Compound 6 with FTO, (f) Compound 7 with FTO, (g) Compound 8 with FTO.

3.3. BW and food intake

For each group body weight (BW) was measured on the initial day before given diet and after 10 days of the feeding, and final weight was recorded at the end the experiments (28 days) after administration of the test drug, as shown in the Table 3, as well as the calculate food intake (g), nutritional status, and BMI at the end of 28 days and showed in Table 4.

Table 3. Estimation of BW in SD rats treated with ethanolic extract of C. sativum root.
Groups Dose (mg/kg orally) Initial BW (g) (0 Day) Body weight (g) (10 Days) Final body weight (g) (28 Days)
Normal control-I -ve Control 144.83±0.60 150.33±1.05 148.66±0.84
HFD-II +ve Control 159.83±1.07# 224.16±1.24## 287.33±0.66
HFD + Orlistat -III 5 151.00±0.96 216.83±1.49## 173.00±3.21**
HFD + ECSR -IV 100 157.16±1.07# 221.83±1.35## 186.83±3.69*
HFD + ECSR -V 200 153.50±1.05# 220.00±1.50## 179.66±3.68**

All values ​​are expressed as mean ± S.E.M. One-way ANOVA followed by Dunnett test.

#p< 0.05 & ##p< 0.01compare to normal control group.

* p< 0.05 & ** p< 0.01 (HFD) compared to the positive control group.

Table 4. Estimation of food intake, food efficiency ratio, and BMI in SD rats treated with ethanolic extract of C. sativum root.
Groups Dose (mg/kg p.o.) Final weight gain (g) Final food intake (g) Wt gain/Food intake) BMI
Normal control-I -ve Control 3.83±1.01 9.56±0.09 0.4±0.10 0.47±0.008
HFD-II +ve Control 127.5±1.02 16.89±0.17 7.54±0.12 0.61±0.017*
HFD + Orlistat -III 05 17.50±0.88# 10.15±0.07## 1.72±0.09** 0.41±0.010**
HFD + ECSR -IV 100 29.66±2.67# 13.98±0.07## 2.11±0.18** 0.41±0.009**
HFD + ECSR -V 200 26.16±2.73# 11.43±0.09## 2.28±0.24** 0.40±0.009*

All values ​​are expressed as mean ± S.E.M. One-way ANOVA followed by Dunnett test.

#p< 0.05 & ##p< 0.01 compare to normal control group.

*p< 0.05 & **p< 0.01 (HFD) compared to the positive control group.

3.4. Relative organ weight

Table 5 displays the relative organ weights of experimental rats. Group II rats had considerably (p<0.05) higher heart, liver, and spleen weights compared to group I. After 28 days, ECSR at 100 and 200 mg/kg orally significantly reduced liver, spleen, and heart weights (p<0.05 and p<0.01) compared to the standard group III.

Table 5. Effect of ethanol extract of Coriander sativum root on relative organ weight in SD rats.
Groups Dose (mg/kg orally) Heart (g) Liver (g) Spleen (g)
Normal control-I -ve Control 1.09±0.02 7.90±0.03 1.29±0.03
HFD-II +ve Control 2.38±0.12* 10.82±0.04## 2.44±0.06##
HFD + Orlistat-III 5 1.24±0.03* 8.03±0.03## 1.38±0.04##
HFD + ECSR-IV 100 1.72±0.06## 9.03±0.04## 2.07±0.05##
HFD + ECSR-V 200 1.45±0.06## 8.41±0.08** 1.63±0.04##

All values ​​are expressed as mean ± S.E.M. One-way ANOVA followed by Dunnett test.

#p< 0.05 & ##p< 0.01compare to normal control group. * p< 0.05 & ** p< 0.01 (HFD) compared to the positive control group.

3.5. Blood lipid profile

Table 6 revealed that the lipid biomarker levels (TC, TG, LDL, and VLDL) in experimental rats were significantly elevated, while the levels of HDL biomarker were significantly decreased in the HFD-treated group II compared to the control group I. Management with orlistat at a dose of 5 mg/kg in Group III, and ECSR 100 and 200 mg/kg orally in Groups IV and V, resulted a significant (p<0.05 and **p<0.01) decrease the level of TC, TG, LDL and VLDL as well as HDL level was significant (**p<0.01) increase in Sprague Dawley (SD) rats when compared with group II. Additionally, the test results showed an increase in serum AI levels (p<0.01) in HFD-induced obese animals, which was lower than that of normal controls.

Table 6. Effect of ethanol extract of Coriander sativum root on lipid serum profile – VLDL, HDL, TC in SD rats.
Treatment groups (n = 6) Dose (mg/kg p.o) VLDL (mg/dL) HDL (mg/dL) TC (mg/dL) TG (mg/dL) LDL (mg/dL) AI
Normal control-I -ve Control 19.37±0.57 59.74±0.85 125.66±1.39 96.86±2.85 46.53±1.40 0.20±0.01
HFD-II +ve Control 37.01±0.17** 32.94±0.82** 184.34±0.83 185.14±0.92 114.35±0.87** 0.75±0.01**
HFD + Orlistat-III 05 20.05±0.43# 56.65±0.81** 126.77±1.34* 100.27±2.18 50.05±1.33## 0.24±0.01**
HFD + ECSR-IV 100 27.25±0.31 40.93±0.41 166.75±1.19 136.28±1.55* 98.56±0.88** 0.52±0.006##
HFD + ECSR-V 200 20.96±0.49# 50.71±0.57 130.99±0.93 104.85±2.49* 59.30±0.97 0.31±0.01**

All values ​​are expressed as mean ± S.E.M. One-way ANOVA followed by Dunnett test.

#p< 0.05 &##p< 0.01compare to normal control group.

*p< 0.05 & ** p< 0.01 (HFD) compared to the positive control group.

3.6. Oxidative Stress Parameters

Table 7 demonstrates that participants in the HFD (Group II) group exhibited lower levels of oxidative stress parameters, including SOD, GSH, GPx, and TBARS, when compared to the normal control group (Group I). Treatment with ECSR 100 and 200 mg/kg and standard 5 mg/kg Orlistat in Groups IV, V, and III resulted in a significant increase (p<0.05 and **p<0.01) in SOD, GSH, GPx levels, and a decrease in TBARS levels.

Table 7. Effect of ethanol extract of Coriander sativum root on oxidative stress parameters in SD rats.
Groups Dose (mg/kg p.o.) SOD (unit/mg tissue) GSH (mg/g tissue) GPx (nmol/min/mg protein) TBARS (nmol of MDA formed/g tissue)
Normal control-I -ve Control 47.06±0.29 40.78±0.16 13.65±0.12 27.41±0.14
HFD-II +ve Control 19.02±0.21** 20.36±0.21** 7.40±0.23** 83.00±0.24**
HFD + Orlistat-III 5 43.53±0.32## 36.88±0.25 11.28±0.26# 33.08±0.22#
HFD + ECSR-IV 100 26.48±0.33## 25.95±0.30* 8.19±0.32* 58.16±0.30#
HFD + ECSR-V 200 39.60±0.30 30.89±0.18 9.29±0.22# 30.22±0.26#

All values ​​are expressed as mean ± S.E.M. One-way ANOVA followed by Dunnett test.

#p< 0.05 & ##p< 0.01compare to normal control group.

*p< 0.05 & **p< 0.01 (HFD) compared to the positive control group.

3.7. Discussion

Ethanol ECSR contains various types of bioactive compounds that play an important role in different pharmacological activities (1). 1, 3-propanediol, 2-ethyl-2-(hydroxymethyl) is a new volatile oil compound that may be utilized as an anti-microbial activity, not reported in the root of this plant. (2) 3-tridecanol and (3) (E)-tetradec-2-enal were previously quantified in the root and reported in leaves used as an adjuvant and flavoring agent. (5) cyclohexane,1,4- diethoxy- trans and (8) cyclohexane,1,4-diethoxy-, cis are the new compounds identified in the root as not reported in other parts of this plant. (5) (E)-hexadec-2-enal is present in the root and previously reported in aerial parts used as a flavoring agent and as an adjuvant. (6) hexadecanoic acid, methyl ester, also found in leaves, possesses antiandrogenic, antioxidant, and nematocidal activities. It has been found to have hemolytic hypocholesterolemic activity and as a flavoring agent [26]. (9) 11,14-eicosadienoic acid, methyl ester is a fatty acid methyl ester and a polyunsaturated fatty ester, a new compound, not reported in the aerial part of this plant. (9) squalene, (10) stigmasta-5,23-dien-3-ol, (3. Beta.), (11) stigmast-5-en-3-ol, (3. Beta.,24S) and (12) stigmast-5-en-3-ol, (3. Beta.,24S) are also present in seed oil. Squalene may initiate the lowering of cholesterol if added to some drugs, as it decreases TG and TC levels. It is also used as an adjuvant in the treatment of cancer [27]. (10) stigmasta-5,23-dien-3-ol, (3.Beta.), (11) stigmast-5-en-3-ol, (3.Beta.,24S), and (12) stigmast-5-en-3-ol, (3. Beta.,24S) are supports in the governing and tissue rebuilding mechanisms associated with estrogen effects. It is used as an intermediate in the biosynthesis of androgens, estrogens, and corticoids, and correspondingly used as a precursor of vitamin D3 (VIT-D3) [28]. They enhance the antioxidant activity and are used as a potential anti-inflammatory, anti-apoptotic, and anticancer agent in pharmaceuticals. It also neutralizes the venom of snakes such as vipers and cobras and inhibits the progression of tumors by acting on protein kinase C (PKC) and in the sphingomyelin cycle [29]. Increased plasma LDL cholesterol (LDL-C) acts as a considerable risk for cardiovascular disorders. Plant sterols decrease the levels of LDL and are cardio-protective, as they lower the cholesterol level [30].

The HFD-based model is rich in calories and fat content, and it is typically given to rats to induce obesity [31]. Numerous studies have shown that rats nourished with HFD serve as an ideal prototype for an obesity model, and their diet is comparable to the diet consumed by humans with obesity [32]. The HFD model examined BW, food intake, nutritional quality, BMI, and biochemical markers like AI, TC, TG, HDL, LDL, and VLDL levels [33]. When rats are fed high-fat foods, their body weight increases, resulting in increased liver weight and increased TC and TG levels. The drug C. sativum prevents weight gain in rats by preventing body fat deposits.

Obesity can significantly alter biochemical markers, particularly the lipid profile. In obese individuals, an increase in TC, TG, LDL, and VLDL levels, accompanied by a decrease in HDL (beneficial cholesterol), is commonly observed. The elevated levels of TC, TG, and LDL are significant risk factors for cardiovascular disorders. HFD raises TC and TG levels, which are delivered to tissues via the bloodstream. The animals fed with ECSR prevent the increase in TC, TG, LDL, and VLDL levels compared to HFD-fed rats. Additionally, the levels of oxidative stress markers such as SOD, GSH, GPx, and TBARS increased significantly in rats given ECSR. C. sativum protects rats by affecting changes in the body’s lipid profile and signs of oxidative stress. Chithra and Leelamma’s predicted hypolipidemic process for coriander seeds may involve a considerable increase in 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMG-CoA) activity, which is a critical enzyme in cholesterol synthesis [34]. ECSR-fed rats have lower liver cholesterol because its breakdown into bile acids is greater than its synthesis. Instead, the decrease in TC levels was attributed to the addition of fiber to the experimental diet of hypertriglyceridemic animals, which increases plasma lecithin cholesterol acyltransferase (LCAT), thereby enhancing hepatic bile acid synthesis and increasing blood cholesterol levels. It removes bile acids and cholesterol from feces and reduces LDL production in the liver [21].

The coriander ethanol root extract is rich in sterols, particularly stigmast-5-en-3-ol, (3. Beta.,24S), stigmasta-5,23-dien-3-ol, (3.Beta.), and squalene, which may inhibit cholesterol absorption [35]. The subtle structural variation between stigmasterol and cholesterol enables stigmasterol to be incorporated into intestinal micelles, effectively displacing cholesterol and consequently diminishing its absorption. Moreover, phytosterols, especially stigmasterol, enhance the activity of the enzyme HMG-CoA reductase, which inhibits cholesterol absorption and promotes the production of hepatic bile acids, resulting in increased cholesterol excretion. Unsaturated fatty acids, including 11,14-eicosadienoic acid, can reduce LDL-C levels. Mono and polyunsaturated fatty acids can also elevate LDL-C levels.

4. Conclusions

In inference, C. sativum can be used as an efficient food due to its inclusive range of cardiovascular benefits, such as antihypertensive, antiarrhythmic, hypolipidemic, anti-atherogenic, as well as cardio-protective effects. The ECSR embraces most of the nonpolar phytoconstituents, qualitatively validated by GC-MS. The compounds identified by GC-MS in the ECSR include stigmast-5-en-3-ol, 3-beta, 24S, stigmasta-5,23-dien-3-ol, and squalene. These compounds may inhibit dietary cholesterol absorption and enhance the activity of HMG-CoA reductase, thereby reducing cholesterol absorption and increasing hepatic bile acids. Unsaturated fatty acids, including 11,14-eicosadienoic acid and reduce LDL-C levels and might be responsible for the potential anti-lipidemic activity. Future studies should isolate active ingredients, establish their mechanisms, and test their efficacy in clinical trials. With the increased interest in plant-based and safer alternatives to synthetic medications, C. sativum root extract may be an effective anti-obesity formulation.

Acknowledgment

The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through the Large Research Project under grant number RGP2/389/46.

CRediT authorship contribution statement

All authors discussed the results and contributed to the final manuscript. Muhammad Arif, Mohammad Khalid, and Sangeeta Singh developed performed the experiments. Calculations was done by Mohammad Khalid, Ambreen Shoaib, Muhammad Arif and Shadma Wahab Simulation was done by Mohammed H. Alqarni, Ahmed I. Foudah and Shagufta Khan, Mohammad Khalid, Ambreen Shoaib and Sangeeta Singh analyzed the data and Mohammad Khalid, Ambreen Shoaib, Sangeeta Singh, Shagufta Khan, Shadma Wahab, Abdulrhman Alsayari wrote the manuscript. Ambreen Shoaib, Abdulrhman Alsayari, Shagufta Khan and Muhammad Arif contributed to the final version of the manuscript and Abdulrhman Alsayari and Shadma Wahab supervised the funding of the project.

Declaration of competing interest

The authors has no conflicts of interest.

Data availability

The authors declare that all the data supporting the findings of this study are contained within the paper.

Declaration of generative AI and AI-assisted technologies in the writing process

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

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