Non-targeted screening with LC-HRMS and In-Silico Study on Diabetic activity of ethyl acetate extract of Sanrego (Lunasia amara Blanco)
Adriani Adriani1,2, Noorhamdani Noorhamdani3, Tri Ardyati4, Sri Winarsih5*
1Doctoral Program of Medical Science, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.
2Departmen of Biology Education in STKIP Pembangunan Indonesia, Makassar, Indonesia.
3Department of Microbiology, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.
4Departmen of Biology, Faculty of Mathematics and Science Universitas Brawijaya, Malang, Indonesia.
5Department of Pharmacy, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.
*Corresponding Author E-mail: wien23.fk@ub.ac.id
ABSTRACT:
Indonesian have long empirical use of the Sanrego plant (Lunasia amara Blanco) as antidiabetic, but the active compounds of Sanrego that acts as antidiabetic is not yet known. This study aimed to know the active compound from the ethyl acetate extract (EEA) of Sanrego stems and leaves and predict its ability as an anti- diabetic by in-silico. The dried leaves and stems of Sanrego were grounded into powder and extracted using ethyl acetate. The active compounds were detected using thin-layer chromatography (TLC) and Liquid chromatography high-resolution mass spectrometry (LC-HRMS). Anti-diabetic activity was predicted by molecular docking approach compared to acarbose and vildagliptin. The TLC results showed that Sanrego EEA contained alkaloid and flavonoid compounds include scopoletin. The LC-HRMS results showed 11 active compounds in EEA and all of them had anti-diabetic activity. The detected main compounds were hesperidin, scopoletin, tangeritin, and trigonelline. Based on the results of molecular docking, the four compounds showed anti-diabetic activity through α-glucosidase inhibition and dipeptidyl peptides- 4 (DPP-4) inhibition. Hesperidin has the highest energy affinity as an α-glucosidase inhibitor (-7.4) and DPP4 inhibitor (-9.8), followed by tangeritin, scopoletin, and trigonelline. This study concluded that the EEA of Sanrego contains hesperidin, tangeritin, scopoletin, and trigonelline which has anti-diabetic activity through α-glucosidase inhibition and DPP4 inhibition.
KEYWORDS: Sanrego, α-Glucosidase, LC-HRMS, Hesperidin, Scopoletin.
INTRODUCTION:
Diabetes is a chronic metabolic syndrome characterized by hyperglycemia. Currently, the number of diabetes patients worldwide reaches 171 million. This number is predicted to increase to 366 million people in 2030 and 693 million people in 20401. Postprandial hyperglycemia is one of sign for type 2 diabetes mellitus. Therefore, blood sugar control is vital to diabetes management2. One way to control blood glucose levels is by inhibiting the activity of α-glucosidase and DPP-4 enzymes3-5.
α-glucosidase and DPP-4 enzymes are produced in the small intestine. α-glucosidase work as hidrolize 1,4 glycosidic bonds in polysaccharides to form glucose6,7. Inhibition of α-glucosidase activity will reduce glucose production in the small intestine. Incretin is a digestive hormone produced by the small intestine to stimulate insulin secretion. The role of DPP-4 is rapidly degrading incretin hormone to keep blood glucose stable. In DM patients, low incretin but high DPP-4, this causes decreased insulin secretion. Inhibition of DPP-4 activity can increases insulin secretion and reduces postmeal hyperglycemia8. Currently, inhibition of the activity of α-glucosidase and DPP-4 enzymes are one of potential the targets of diabetes treatment8-10. Unfortunately, recent research showed that α-glucosidase inhibitor drugs can cause various side effects, such as nausea, vomiting, flatulence, and various other digestive disorder11. Therefore, herbs containing α-glucosidase inhibitory campounds can be offered as alternative medicine for diabetes management12-15.
Sanrego (Lunasia amara Blanco) is one of the antidiabetic plants from the Rutaceae family in the Sulawesi Sanrego has many empirical uses, such as anticancer, aphrodisiac, activator of CYP2D6, and antidiabetic16-21. An in vitro study showed that Sanrego extract lowered blood glucose levels22; however, it is still unknown which Sanrego's active compounds act as an antidiabetic agent. The non-targeted screening method by LC-HRMS is a technique that allows quick detection and identification of unknown or unexpected compounds in a natural substance. Generally, this method does not need standard compounds for analysis because it has used the reference library16-19. The purpose of this study was to detect the active compounds from the Sanrego ethyl acetate extract (EEA) using LC-HRMS and predict their ability as an antidiabetic through a molecular docking approach.
Materials:
Scopoletin were purchased from Sigma Aldrich. All other chemicals purchased from local suppliers.
Sample preparation:
The Sanrego simplisia in the form leaves and stems was taken from Bantimurung-Bulusaraung National (Babul) National Park, South Sulawesi. The simplisia was identified at Purwodadi Botanical Gardens-Institution Indonesian Science (LIPI) Indonesia (No.882/IPH.06/HM/VIII/2019).
Sanrego plant extraction:
The dried leaves and stems of Sanrego was each made into powder separately using a grinding machine. The solvent (ethyl acetate) was added to each powder (1:4 v/v) and then macerated for 48 hours at room temperature. The extract was then filtered using Whatman paper no.40 and evaporated in an evaporator.
Phytochemical screening of compounds conducted by thin-layer chromatography (TLC) and LC-HRMS. The separation of active compounds was carried out using G60 F254 silica plates as the stationary phase. A mixture of dichloromethane (DCM): ethyl acetate (91:9 to 99:1 v/v was used as the mobile phase. The TLC results were observed under UV light at wavelengths of 254 nm and 366 nm.
EEA was diluted with 1300μL of methanol and vortex for 1 minute and spindown for 2 minutes. The supernatant was filtered and ready to be injected into the LC-HRMS apparatus. Chromatographic separation was achieved using Hypersil Gold aQ column (50x1mm x 1.9u). The mobile phase used was a mixture of 0.1% formic acid dissolved in distilled water (eluent A) and 0.1% formic acid dissolved in acetonitrile (eluent B). The flow rate analysis of 40µL/min during for 30 minutes at 300C. LC-HRMS of Sanrego EEA was carried out at the Central Laboratory of Biological Sciences Universitas Brawijaya (LSIH UB) and the data analyzed by Compound Discoverer with MzCloud MS/MS Library
The 3D structure of the ligands was obtained from Pubchem. The design of the 3D receptors (α-glucosidase PDB ID: 2QMJ and DPP4 PDB ID: 5Y7K) was downloaded from the Protein Data Base (RSCB) and had an X-Ray values <2.5 Ȃ 4,27-28.
Pharmacokinetic analysis was carried out using Pubchem analysis. The ability of active compounds to cross the cell membrane and interact with the target protein was analyzed by the Lipinski Rule of Five Test and molinspiration property prediction tool29-30. Canonical smile ligands was obtained from Pubchem and entered into the online Molinspiration software to get the topological polar surface area (TPSA) data.
Ligand preparation conducted by minimizing the size of the structure was used PyRx 2.0 software. Receptor was preparated by remove water molecules and drug ligands that were still attached to the protein using the PyMol software.
The designed receptors and ligands were entered into Pyrx software version 2.2.3 which had have the Lamarckian genetic algorithm4,29. The ligands were arranged by placing them in the gird box on the active site of the receptors and run the docking process. This process was repeated three times. The molecular docking results was visualized by Pymol software, and Discovery Studio software for the 2D ligand-receptor interactions. Confirmed docking results were then aligned with the original ligands from crystallographic measurements and expressed as the root mean square deviation (RMSD) value. The docking method was accepted as valid if the RMSD value is < 231-33
Based on the optimization results, the suitable solvent ratio for screening Sanrego EEA active compounds were DCM: ethyl acetate (94:6). The results of TLC showed that the EEA contained a scopoletin compound characterized by blue fluorescence under UV light (366 nm). EEA of Sanrego leaf also showed red and blue spots which were predicted to be alkaloids and flavonoids (Figure 1).
Figure 1. Visualization of TLC results of Sanrego EEA stem and leaf extract with DCM: ethyl acetate eluent (94:6). Visualization with a wavelength of 366 nm EEA of Sanrego stem (a), EEA of Sanrego leaf (b), and standard scopoletin (c).
The results of phytochemical screening and LC-HRMS analysis of Sanrego EEA (leaves and stem) identified 11 active compounds. EEA leaves (EEA-L) and stem (EEA-S) of Sanrego contain almost the same secondary metabolites except for hesperidin and oleamide. These two compounds were only found in EEA-S and not found in EEA-L. The characteristic of the active compounds shown in Table 1. The dominant compounds were scopoletin trigonelin, tangeritin and hesperidin. All of these compounds were presented in EEA-S but trigonelline and tangeritin were not detected in EEA-L. The chromatograms The chromatograms of each component were shown in Figure 2.
The results of the pharmacokinetic analysis showed that not all of the Sanrego active compounds met the Lipinski and Veber-Egan rules. These two rules are related to the ability and polarity of active material to penetrate the cell membrane. The requirements of Lipinski rule are compounds with molecular weight ≤ 500 Da, H-donor ≤ 5, H- acceptor ≤ 10, and logP ≤ 5. Hesperidin and chlorogenic acid did not meet the Lipinski rule because they had H- donor > 5, H-acceptor >10 and sesperidin has molecular weight of > 500 Da, and. Besides, the value of topological polar surface area (TPSA) of hesperidin was 234 Ȃ, therefore it did not meet the Veber –Egan rule (≤ 140 Ȃ). (Table 2).
Table 1. Result of LC-HRMS analysis from EEA-L and EEA-S Sanrego
S.No |
Active compounds |
Leaves |
Stem |
Formula |
Molecular Weight |
Rt (minutes) |
mz Cloud |
1 |
Trigonelline |
√ |
√ |
C7H7NO2 |
137,05 |
1.203 |
97.8 |
2 |
Scopoletin |
- |
√ |
C10 H8 O4 |
192,04 |
7.105 |
96.7 |
3 |
Bis(2-ethylhexyl) phthalate |
√ |
√ |
C24 H38 O4 |
390,28 |
23.3 |
95.3 |
4 |
Α-eleustearic acid |
√ |
√ |
C18 H30 O2 |
278,22 |
17.322 |
94 |
5 |
Nobiletin |
√ |
√ |
C21 H22 O8 |
402,13 |
13.598 |
93.5 |
6 |
Dibuthyl phthalate |
√ |
√ |
C16 H22 O4 |
278,15 |
18.36 |
93.4 |
7 |
Α-linoleic acid |
√ |
√ |
C18 H30 O2 |
278,22 |
20.39 |
93.3 |
8 |
Oleamide |
- |
√ |
C18 H35 N O |
281,27 |
22.194 |
92.5 |
9 |
Tangeritin |
√ |
√ |
C20 H20 O7 |
372,12 |
14.749 |
91.6 |
10 |
Chlorogenic acid |
√ |
√ |
C16 H18 O9 |
354,09 |
5.097 |
91.4 |
11 |
Hesperidin |
- |
√ |
C28 H34 O15 |
610,19 |
8.192 |
91 |
Figure 2. LC-HRMS chromatograms and mass spectra of the Sanrego plant include (A) hesperidin, (B) scopoletin, (C) trigonelline, and (D) tangeritin.
Table 2. Pharmacokinetic analysis of Sanrego EEA avtive compounds and control (Acarbose and Vildagliptin)
Ligan |
Moleculer weight (g/mol) |
H-Donor |
H-acceptor |
Log P |
TPSA (Ȃ) |
Trigonelline |
137 |
0 |
2 |
1,2 |
44 |
Scopoletin |
192 |
1 |
4 |
1,5 |
55,8 |
Bis(2-ethylhexyl) phthalate |
390 |
0 |
4 |
7,4 |
52,6 |
α-eleostearic acid |
278 |
1 |
2 |
6,4 |
37,3 |
Nobiletin |
402 |
0 |
8 |
3 |
81,7 |
Dibutyl phthalate |
278 |
0 |
4 |
4,7 |
52,8 |
α-linoleic acid |
280 |
1 |
2 |
6,8 |
37,3 |
Oleamide |
281 |
1 |
1 |
6,6 |
43,1 |
Tangeritin |
372 |
0 |
7 |
3 |
72,4 |
Hesperidin |
610 |
8 |
15 |
-1,1 |
234 |
Chlorogenic acid |
354 |
6 |
9 |
-0,4 |
72,4 |
Acarbose |
645 |
14 |
19 |
-8,5 |
321 |
Vildagliptin |
303 |
2 |
4 |
0,9 |
76,4 |
Table 3. Energy affinity of Sanrego EEA-L and EEA-S active compounds against α- glucosidase and DPP-4
Active compounds |
Energy affinity with α- glucosidase |
Energy affinity withDD DPP-4 |
Hesperidin |
-7,4 |
-9,8 |
Tangeritin |
-5,8 |
-9,6 |
Scopoletin |
-5,8 |
-6,5 |
Trigonelline |
-4,3 |
-5,3 |
Acarbose |
-7,1 |
- |
Vildagliptin |
- |
-7,8 |
Figure 3. Interactions between hesperidin (I) and acarbose (II) with the protein (enzyme) receptor. (A) 3D structure of the documented results of hesperidin and acarbose. (B) 3D visualization of the interaction of hesperidin and acarbose and (C) 2D visualization of the interaction hesperidin and acarbose
Hesperidin had the highest energy affinity value as a DPP-4 inhibitor compared to vildagliptin. The affinity value for hesperidin was -9.8 while for vildagliptin was -7.8 (Table 3). This result could be caused by the interaction of hesperidin’s amino acid TyrB 238 (2.77Ȃ) with DPP-4’s O group of the protein (enzyme) receptor (Figure 4). Tangeritin had an energy affinity value that was also higher than vildagliptin, but its amino acids were not attached to the active site of the receptor protein’s active site. The difference in the involvement of amino acids between the two compounds made the energy affinity value of tangeritin lower than hesperidin. Both scopoletin and trigonelline both had low energy affinity values (Table 3).
Figure 4. Interactions between hesperidin (I) and vildagliptin (II) with the target protein. (A) 3D structure of the documented results of vildagliptin and hesperidin. (B) 3D visualization of the interaction of vildagliptin and hesperidin, and (C) 2D visualization of the interaction hesperidin and vildagliptin.
Sanrego is one of Indonesia's endemic herbal plants with various active compounds. Its active compounds include alkaloids, coumarin, steroids, phenolics, essential oils, and terpenoids22-24, 34. Several studies had succeeded in revealing the potency of Sanrego's as antibacterial, anticancer, aphrodisiac, increases sperm quality, and anti- inflammatory22-24. The results of LC-HRMS analysis found that Sanrego EEA contains flavonoids compounds including hesperidin, tangeritin, and nobiletin. This compound has never been reported before. Other components in EEA was included coumarin like scopoletin, alkaloid like trigonelline, α- linoleic acid, oleamide, α-eleostearic, chlorogenic acid, dibutyl phthalate. This analysis indicates onformity with the results of screening using TLC and consistent with previous research24.
The results of the pharmacokinetic analysis predicted that hesperidin was not able to penetrate cell membranes and would work extracellularly. This property was similar to acarbose. In contrast to hesperidin, scopoletin, tangeritin, and trigonelline could pass through the cell membrane because they meet the Lipinski and Veber-Egan rules. Thus it can be assumed that the three compounds have intracellular work targets.
The docking molecular method is preferred because its short analysis time, inexpensive and comparable results with in vitro test36-39. Based on the molecular docking results, all of Sanrego active compounds exhibited α-glucosidase inhibitors activity. Hesperidin had the highest energy affinity value as α-glucosidase and DPP-4 inhibitor. The 2D structure showed that hesperidin occupies the active site and formed the same hydrogen bonds as the control drugs. The energy affinity value will increase if the ligands form were hydrogen or hydrophobic bonds on the active site of the protein4. Hydrogen bonds cause the stability of ligand and receptor interactions38-39. Other factors that affect the energy affinity value are the number of hydrogen bonds and the distance between the ligands and proteins target. The more hydrogen bonds and the closer of the distance, the more stable of ligand-receptor interaction. The presence of alkyl bonds and Pi and N- element bonds also contribute to increase hydrophobic interactions between ligands and receptors. Hesperidin is similar to the control of acarbose. Both of them cannot penetrate the cell membrane because they have large molecular weights. The massive molecular weight causes slow molecular diffusion. Acarbose itself works extracellularly in inhibiting the hydrolysis of α-glycosidic (1-4) bonds in polysaccharides after meal period. That so, hesperidin as the candidate of α- glucosidase inhibitor is expected to act like acarbose.
Previous studies stated that hesperidin had antidiabetic activity. Hesperidin has been shown to regulate glucose metabolism in the liver, inhibits glucose 6-phosphatase (G6Pase) activity, and protects the heart12,40,41. Hesperidin also increases GLUT2 translocation for glucose uptake, increases PPAR activity and insulin sensitivity43-44. Hesperidin has effects as a hypolipidemic agent, antioxidant, and reduces complication risk because of diabetes45. Recent in silico and in vitro studies reported that hesperidin reduces hyperglycemia through α-glucosidase and DPP-4 inhibition46-47.
Apart from hesperidin, another flavonoid compound in the EEA is tangeritin. Tangeritin is a flavone compound and is mostly found in the citrus family. Previous studies stated that tangeritin has bioactivity as an antioxidant, antitumor, anti-inflammatory, hepatoprotective and neuroprotective48. As an antidiabetic, tangeritin increases glucose uptake in adipocyte cells increases glycogen synthase activity, and regenerates pancreatic β-cells thus improving insulin production49-50. Tangeritin acts as an alpha glucosidase inhibitor47, but its role as a DPP4 inhibitor is unknown. angeritin and coumarin are both known antidiabetic agents. One of the derivatives of coumarin is scopoletin, also has antidiabetic activity.
Scopoletin act as antidiabetics through inhibition of α-glucosidase, inhibition of gluconeogenesis activity, and production of methylglyoxal and AGE-s51-54. The activity of scopoletin as a DPP-4 inhibitor has not been previously reported. Furthermore, scopoletin inhibits the activation of JKN pathway that will reduce β-pancreatic cell apoptosis51. Recent studies have found that scopoletin activates the PI3K and AMPK signaling pathways, thereby triggering translocation of GLUT4 to the cell membrane for glucose uptake55. Uptake of glucose in muscle tissue and adiposit are important to reduce hyperglycemia and maintain glucose homeostasis. Similar to scopoletin, trigonelline also acts as an anti-hyperglycemic and antidyslipidemic56. Recent data have found that trigonelline reduces inflammation induced retinopathy and insulin resistance through inhibition of PPAR-γ57-58 .Another mechanism of tangeritin is an α- glucosidase inhibitor and DPP-4 inhibitor based on in vitro test results59-60. Based on this research results, the Sanrego EEA had antidiabetic potential based on in silico. In vitro study is ongoing research
All the active compounds of the Sanrego EEA had antidiabetic activity. Hesperidin had the highest energy affinity value as α-glucosidase and DPP-4 inhibitors compared to scopoletin, tangeritin, trigonelline, and control drugs. Therefore hesperidin is considered as a potential candidate for antidiabetic compound.
The authors would like to thank the Faculty of Medicine Universitas Brawijaya for funding this research and the Central Laboratory of Biological Sciences Universitas Brawijaya (LSIH-UB), for facilitating the research process.
The authors have no conflicts of interest regarding this investigation.
1. Adil M. P Ghosh. SK Venkata. Raygude K. Gaba D. Kandhare AD et al. Effect of Anti-Diabetic Drugs On Risk of Fracture In Type 2 Diabetes Mellitus Patients: A Network Meta-Analytic Synthesis of Randomized Controlled Trials of Thiazolidinediones. in ISPOR 20th Annual European Congress 2017. Glasgow, Scotland: Elsevier Inc. doi: https://doi.org/10.1016/j.jval.2017.08.724.
2. Khan MY. Poonam G, Bipin B, Vikas KV. A Review on Diabetes and Its Management. Asian J. Pharm. Res. 2013; 3(1):27-32. Available on: https://asianjpr.com/AbstractView.aspx?PID=2013-3-1-6
3. Yin Z. Zhang W. Feng F. Zhang Y. Kang W. α-Glucosidase Inhibitors Isolated From Medicinal Plants. Food Science and Human Wellness. 2014; 3:137-174. doi.org/10.1016/j.fshw.2014.11.003.
4. Mohapatra S. Prasad A. Haque F. Ray S. De B. Ray SS. In Silico Investigation of Black Tea Components on α -Amylase, α -Glucosidase and Lipase. J Appl Pharm Sci. 2015; 5(12):042-046. doi.org/10.7324/JAPS.2015.501207.
5. Purnomo Y. Soeatmaji DW. Sumitro SB. Widodo MA. Anti-diabetic Potential of Urena lobata Leaf Extract Through Inhibition of Dipeptidyl Peptidase IV Activity. Asian Pac J Trop Biomed. 2015; 5(8):645-649. doi.org/10.1016/j.apjtb.2015.05.014.
6. Subramanian R. Asmawi MZ. Sadikun A. In Vitro Alpha-Glucosidase and Alpha-Amylase Enzyme Inhibitory Effects of Andrographis paniculata Extract and Andrographolide. Acta Biochim Pol. 2008; 55(2):391-398.doi.org/10.18388/abp.2008_3087.
7. Zhang AJ. Rimando AM. Mizuno CS. Mathews ST. α-Glucosidase Inhibitory Effect of Resveratrol and Piceatannol. J Nutr Biochem. 2017; 47:86-93. doi.org/10.1016/j.jnutbio.2017.05.008
8. Wellington SJ., Amélio FG., Luiz GK. Dipeptidyl Peptidase 4: A New Link between Diabetes Mellitus and Atherosclerosis?. BioMed Research International. 2015; vol. 2015: 1-10.https://doi.org/10.1155/2015/816164
9. Tabopda TKT. Ngoupayo J. Awoussong PK. Mitaine-offer AC. Ali MS. Ngadjui BT. Triprenylated Flavonoids From Dorstenia psilurus and Their Alpha-Glucosidase Inhibition Properties. J Nat Pro. 2008; 71(12):2068-2072.doi.org/10.1021/np800509u.
10. Zafar M. Khan H. Rauf A. Khan A. Lodhi MA. In Silico Study of Alkaloids as α-Glucosidase Inhibitors: Hope For The Discovery of Efffective Lead Compounds. Front Endocrinol (Lausanne). 2016; 7:1-17. doi.org/10.3389/fendo.2016.00153.
11. Zhenzhen X. Wang G. Wang J. Chen M. Peng Y. Li Y et al. Synthesis, Biological Evaluation, and Molecular Docking Studies of Novel Isatin-thiazole Derivatives as α-Glucosidase Inhibitors. Molecules. 2017; 22(4):1-11. doi.org/10.3390/molecules22040659.
12. Gong Z. Peng Y. Qiu J. Cao A. Wang G. Peng Z. Synthesis, In Vitro α-Glucosidase Inhibitory Activity and Molecular Docking Studies of Novel Denzothiazole-triazole Derivatives. Molecules. 2017; 22(9):1-10.doi.org/10.3390/molecules22091555.
13. Spengler M, Schmitz H, Landen H. Evaluation of the efficacy and tolerability of acarbose in patients with diabetes mellitus. Clin Drug Invest. 2005;25:651–659. doi: 10.2165/00044011-200525100-00004.
14. Preethi J. Herbal Medicine for Diabetes Mellitus: A Review. Asian J. Pharm. Res. 2013; 3(2): 57-70. Available on: https://asianjpr.com/AbstractView.aspx?PID=2013-3-2-2
15. Macharla SP, , Venkateshwarlu G, Ravinder NA. Antidiabetic Activity of Bambusa arundinaceae Root Extracts on Alloxan Induced Diabetic Rats. Asian J. Res. Pharm. Sci. 2012; 2(2):73-75. Available on: https://ajpsonline.com/AbstractView.aspx?PID=2012-2-2-9
16. Saha D. Design and Potential of Mass Spectrometry. Asian J. Pharm. Ana. 2011; 1(1): 01-02. Available on: https://ajpaonline.com/AbstractView.aspx?PID=2011-1-1-1
17. Babu GR, J. Rao JS, Kumar KS, P. Reddy PJ. Stability Indicating Liquid Chromatographic Method for Aripiprazole. Asian J. Pharm. Ana. 2011;1(1):03-07. Available on: https://ajpaonline.com/AbstractView.aspx?PID=2011-1-1-2
18. Gupta A, Yadav JS, Rawat S , Mayuri G. Method Development and Hydrolytic Degradation Study of Doxofylline by RP-HPLC and LC-MS/MS. Asian J. Pharm. Ana. 2011; 1(1): 14-18. Available on: https://ajpaonline.com/AbstractView.aspx?PID=2011-1-1-5
19. Saha D, Tamrakar A. Protein Mass Spectrometry: Novel Approaches in Pharmaceutical Biotechnology. Asian J. Pharm. Ana. 2011; 1(2):25-26. Available on: https://ajpaonline.com/AbstractView.aspx?PID=2011-1-2-1
20. Pattabiraman K, Muthukumaran P. Antidiabetic and Antioxidant Activity of Morinda tinctoria roxb Fruits Extract in Streptozotocin-Induced Diabetic Rats. Asian J. Pharm. Tech. 2011; 1(2): 34-39 Available on: https://ajptonline.com/AbstractView.aspx?PID=2011-1-2-3
21. Chigozie IJ, Ikewuchi CC. Hypoglycemic, hypocholesterolemic, anti-anemic and ocular-protective effects of an aqueous extract of the rhizomes of Sansevieria liberica Gérôme and Labroy (Agavaceae) on alloxan induced diabetic Wistar rats. Asian J. Pharm. Tech. 2011; 1(4):137-148. Available on: https://ajptonline.com/AbstractView.aspx?PID=2011-1-4-9
22. Zubair MS. Anam S. Lallo S. Cytotoxic Activity and Phytochemical Standardization of Lunasia amara Blanco Wood Extract. Asian Pac J Trop Biomed. 2016; 6(11):962-966. doi.org/10.1016/j.apjtb.2016.04.014.
23. Luthfi MJ. Kamalrudin A. Noor MM. Effects of Lunasia amara Blanco (Sanrego) on Male Fertility: A Preliminary Study on Sperm Proteomic Analysis. J Appl Pharm Scie. 2017; 7(08):085-090. doi.org/10.7324/JAPS.2017.7081.
24. Hasnaeni. Sudarsono. Nurrochmat A. Widyarini S. Identification of Active Anti-inflammatory Principles of Beta-Beta Wood (Lunasia amara Blanco) From Siawung Barru-South Sulawesi, Indonesia. Trop J Pharm Res. 2017; 16:161-164. doi.org/10.4314/tjpr.v16i1.21.
25. Takahashi N. Subehan. Kadota S. Tezuka Y. Mechanism-based CYP2D6 Inactivation by Acridone Alkaloids of Indonesian Medicinal Plant
26. Lunasia amara. Fitoterapia. 2012; 83(4): 774-779. doi.org/10.1016/j.fitote.2012.03.011.
27. Ratnadewi AAI. Wahyudi LD. Rochman J. Susilawati. Ari S. Tri A. Revealing Anti-Diabetic Potency of Medicinal Plants of Meru Betiri National Park, Jember – Indonesia. Arab J Chem. 2018; 13(1):1831-1836.doi.org/10.1016/j.arabjc.2018.01.017.
28. Zhang Y. Wang N. Wang W. Wang J. Zhu Z. Li X. Molecular Mechanisms of Novel Peptides From Silkworm Pupae That Inhibit α- Glucosidase. Peptides. 2016;76:45-50. doi: 10.1016/j.peptides.2015.12.004.
29. Karumanchi SK. Atmakuri LR. Mandava VB. Rajala S. Synthesis and Hypoglycemic and Anti-Inflammatory Activity Screening of Novel Substituted 5-[morpholino(phenyl)methyl]-thiazolidine-2,4-diones and Their Molecular Docking Studies. Turk J Pharm Sci. 2019; 16(4):380- 390. doi.org/10.4274/tjps.galenos.2018.82612.
30. Hari S. In Silico Molecular Docking and ADME/T Analysis of Plant Compounds Against IL17A and IL18 Targets in Gouty Arthritis. J Appl Pharm Sci. 2019; 9(07):018-026. doi.org/10.7324/JAPS.2019.90703.
31. Peasari JR. Motamarry SS. Varma KS. Anita P. Potti RB. Chromatographic Analysis of Phytochemicals in Costus igneus and Computational Studies of Flavonoids. Informatics in Medicine Unlocked. 2018; 13:34-39.doi.org/10.1016/j.imu.2018.10.004.
32. Vo THN. Tran N. Nguyen D. Le L. An In Silico Study on Antidiabetic Activity of Bioactive Compounds in Euphorbia thymifolia Linn. Springerplus. 2016; 5(1):1-13. doi.org/10.1186/s40064-016-2631-5.
33. Ernawati T. Mun'Im A. Hanafi M. Yanuar A. In Silico Evaluation of Molecular Interactions Between Known α-Glucosidase Inhibitors and Homologous α-Glucosidase Enzymes From Saccharomyces cerevisiae, Rattus norvegicus, and GANC-human. Thai J Pharm Sci. 2018; 42(1):14-19. http://www.tjps.pharm.chula.ac.th/ojs/index.php/tjps/article/view/425
34. Adriani. Noorhamdani. Winarsih S. Ardyati T. Molecular Docking Study From Lunacridine, Scopoletin and Skimmianine as Antidiabetes Through α-Glucosidase Inhibitor, in The 1st International Seminar on Smart Molecule of Natural Resources (ISSMART). 2019, IOP Publishing Ltd: Swiss Bell Hotel Malang, Indonesia.1-7. doi.org/10.1088/1742-6596/1374/1/012026.
35. Macabeo APG. Alicia MA. Plant Review Chemical and Phytomedicinal Investigations in Lunasia amara. Phcog Rev. 2008; 2(4):317-325. https://www.researchgate.net/publication/236597615_Chemical_and_phytomedicinal_investigations_in_Lunasia_amara
36. Safitri A. Fatchiyah F. Sari DR. Roosdiana A. Phytochemical Screening, In Vitro Anti-oxidant Activity, and In silico Anti-diabetic Activity of Aqueous Extracts of Ruellia tuberosa L. J Appl Pharm Sci. 2020; 10(03):101-108. doi.org/10.7324/JAPS.2020.103013.
37. Deepak B, Jagtap RS, Kanase KG, Sonawame SA, Undale VR, Bhosale AV. Chemo informatics: Newer Approach for Drug Development. Asian J. Research Chem. 2009; 2(1): 01-07. Available on: https://ajrconline.org/AbstractView.aspx?PID=2009-2-1-1
38. Lin X. Li X. and Lin X. A Review on Applications of Computational Methods in Drug Screening and Design. Molecules. 2020; 25(3):1-17. doi.org/10.3390/molecules25061375.
39. Srinivasan S. Sadasivan SK. Exploring Docking and Aerobic-Microaerophilic Biodegradation of Textile Azo Dye by Bacterial Systems. J Water Process Eng. 2018; 22:180-191. doi.org/10.1016/j.jwpe.2018.02.004.
40. Arthur DE. Molecular Docking Studies of Some Topoisomerase II Inhibitors: Implications in Designing of Novel Anticancer Drugs. Radiol Infec Dis. 2019; 6(2):180-191. doi.org/10.1016/j.jrid.2019.06.003.
41. Jung UJ. Lee M. Jeong K. Choi M. The Hypoglycemic Effects of Hesperidin and Naringin are Partly Mediated by Hepatic Glucose- regulating Enzymes in C57BL/KsJ-db/db Mice. J Nutr. 2004; 134(10):2499-2503. doi.org/10.1093/jn/134.10.2499.
42. Akiyama S. Katsumata S. Suzuki K. Ishimi Y. Wu J. Uehara M. Dietary Hesperidin Exerts Hypoglycemic and Hypolipidemic Effects in Streptozotocin-induced Marginal Type 1 Diabetic Rats. J Clin Biochem Nutr. 2010; 46(1):87-92.doi.org/10.3164/jcbn.09-82.
43. Agrawal YO. Sharma PK. Shrivastapa B. Ojha S. Upadhya SM. Arya DS et al. Hesperidin Produces Cardioprotective Activity Via PPAR-γ Pathway in Ischemic Heart Disease Model in Diabetic Rats. PLoS One. 2014; 9(11):1-13. doi.org/10.1371/journal.pone.0111212.
44. Elshazly SM, El Motteleb DMA, and Ibrahim IAAE-H. Hesperidin Protects Against Stress Induced Gastric Ulcer Through Regulation of Peroxisome Proliferator Activator Receptor Gamma in Diabetic Rats. Chem Biol Interac. 2018; 291:153-161. doi.org/10.1016/j.cbi.2018.06.027.
45. Fitriawan L. Ariastuti R. Tjandrawinata RR. Nugroho AE. Pramono S. Antidiabetic Effect of Combination of Fractionated-Extracts of Andrographis paniculata and Centella asiatica: In vitro Study. Asian Pac J Trop Biomed. 2018; 8(11):527-532. doi.org/10.4103/2221- 1691.245957.
46. Dokumacioglu E. Iskender H. Musmul A. Effect of Hesperidin Treatment on α-Klotho/FGF-23 Pathway in Rats With Experimentally- Induced Diabetes. Biomed Pharmacother. 2018; 109:1206-1210. doi.org/10.1016/j.biopha.2018.10.192.
47. Zheng M, Shengmin L., Jianrong X., Enhanced Antioxidant, Anti-Inflammatory And α-Glucosidase Inhibitory Activities Of Citrus Hesperidin By Acid-Catalyzed Hydrolysis. Food Chemistry. 2021; Vol. 336: 1-9. doi. https://doi.org/10.1016/j.foodchem.2020.127539
48. Sahnoun M., Sahar, T., Samir B., Citrus Flavonoids Collectively Dominate The α-amylase and α-glucosidase Inhibitions. Biologia, 2017: 72(7): 764-773. DOI: 10.1515/biolog-2017-009
49. Ashrafizadeh M. Zahra A. Reza M. Elham GA. Tangeretin: A Mechanistic Review of Its Pharmacological and Therapeutic Effects. J Basic Clin Physiol Pharmacol. 2020; 31(4):1-7. doi.org/10.1515/jbcpp-2019-0191.
50. Kenji O. Horike N. Suzuki T. Hirano T. Polymethoxyflavonoids Tangeretin and Nobiletin Increase Glucose Uptake in Murine Adipocytes. Phytother Res. 2013; 27(2):312-316. doi.org/10.1002/ptr.4730.
51. Sundaram R. Shanthi P. and Sachdanandam P. Tangeretin, A Polymethoxylated Flavone, Modulates Lipid Homeostasis and Decreases Oxidative Stress by Inhibiting NF-κB Activation and Proinflammatory Cytokines in Cardiac Tissue of Streptozotocin-induced Diabetic Rats. J Func Foods. 2015; 16:315-333. doi.org/10.1016/j.jff.2015.03.024.
52. Cho J. Lee K. Park S. Jeong W. Isolation and Identification of α-Glucosidase Inhibitors from the Stem Bark of the Nutgall T ree ( Rhus javanica Linné). J Korean Soc Appl Biol Chem. 2013; 56:547-552. doi.org/10.1007/s13765-013-3140-7.
53. Jang JH. Park JEP. and Han JS. Scopoletin Inhibits α-Glucosidase In Vitro and Alleviates Postprandial Hyperglycemia In Mice With Diabetes. Eur J Pharmacol. 2018; 834:152-157. doi.org/10.1016/j.ejphar.2018.07.032.
54. Chang CC. Ho SL. and Lee SS. Acylated Glucosylflavones as α-Glucosidase Inhibitors From Tinospora crispa Leaf. Bioorg Med Chem. 2015; 23(13):3388-3396. doi.org/10.1016/j.bmc.2015.04.053.
55. Masitah K. Fazilah T. Nor SR, Saravanan D. Khamsah SM. Sasidharan S et al. In Vitro α-Amylase and α-Glucosidase Inhibition and Increased Glucose Uptake of Morinda citrifolia fruit and scopoletin. Research J. Pharm. and Tech. 2015; 8(2):189-193. https://rjptonline.org/AbstractView.aspx?PID=2015-8-2-6
56. Kalpana K. Priyadarshini E. Sreeja S. Jagan K. Anuradha CV. Scopoletin Intervention in Pancreatic Endoplasmic Reticulum Stress Induced by Lipotoxicity. Cell Stress Chaperones. 2018; 23(5):857-869.doi.org/10.1007/s12192-018-0893-2.
57. Jang JH. Park JE. Han JS. Scopoletin Increases Glucose Uptake Through Activation of PI3K and AMPK Signaling Pathway and Improves Insulin Sensitivity in 3T3-L1 Cells. Nutrition Research. 2020; 74:52-61.doi.org/10.1016/j.nutres.2019.12.003.
58. Subramanian SP. Prasath GS. Antidiabetic and Antidyslipidemic Nature of Trigonelline, A Major Alkaloid of Fenugreek Seeds Studied in High-fat-fed and Low-dose Streptozotocin-induced Experimental Diabetic Rats. Biomed Prev Nutr. 2014; 4(4):475-480. doi.org/10.1016/j.bionut.2014.07.001.
59. Li Y. Li Q. Wang C. Lou Z. Li Q. Trigonelline Reduced Diabetic Nephropathy and Insulin Resistance in Type 2 Diabetic Rats Through Peroxisome Proliferator‑Activated Receptor‑γ. Experimental and Therapeutic Medicine. 2019; 18(2):1331-1337. doi.org/10.3892/etm.2019.76
60. Gupta A., Glenn AJ., Jogn Rb., Herbert FJ., David SN., Christian KN., Hayder AA., Citrus Bioflavonoid Dipeptidyl Peptidase-4 Inhibition Compared With Gliptin Antidiabetic Medications. Biochemical and Biophysical Research Communications. 2018: 1-5. Doi. 10.1016/j.bbrc.2018.04.156
61. Hamden K., Amel B., Zahra A., Abdelfattah E., Experimental Diabetes Treated With Trigonelline: Effect on Key Enzymes Related to Diabetes and Hypertension, β-Cell and Liver Function. Mol Cell Biochem. 2013; 381(1-2): 85-94. doi: 10.1007/s11010-013-1690-y
Received on 04.06.2021 Modified on 02.07.2021
Accepted on 22.07.2021 © RJPT All right reserved
Research J. Pharm.and Tech 2022; 15(3):1077-1084.
DOI: 10.52711/0974-360X.2022.00180