Literature DB >> 31391686

In silico evaluation of apoptogenic potential and toxicological profile of triterpenoids.

Tanvi Himanshu Desai1, Shrikant Vijayrao Joshi1.   

Abstract

AIM: Caspases-3 and 8 are key mediators of intrinsic and extrinsic pathway of apoptosis, respectively. Triterpenoids of natural and synthetic origin reported as anticancer agents with apoptotic potential and hence may prove to be good candidates for in silico testing against caspases-3 and 8.
MATERIALS AND METHODS: Various naturally-occurring and synthetic triterpenoids were subjected to activity prediction using PASS Online software, and among them, 67 compounds were selected for further processing. Protein structure of caspase-3 (3DEI) and caspase-8 (3KJQ) was obtained from the protein data bank and docked with selected triterpenoids using AutoDock Tools and AutoDock Vina. Toxicological profile was predicted based on clinical manifestations using PASS online software.
RESULTS: The high docking score of -10.0, -9.9, -9.8, and -9.5 were shown by friedelin, tingenone, albiziasaponin A, and albiziasaponin C, respectively, for caspase-3, and -11.0, -9.6, -9.6, and -9.4 by β-boswellic acid, bryonolic acid, canophyllic acid, and CDDO, respectively, for caspase-8. Possible adverse events were predicted with varying degree of probability and major relevant effects were reported. Hydrostatic interactions along with formation of hydrogen bonds with specific amino acids in the binding pocket were identified with each triterpenoid.
CONCLUSION: Lead molecules identified through this in silico study such as friedelin, tingenone, albiziasaponin, bryonolic acid, and canophyllic acid may be utilized for further in vitro/in vivo studies as apoptotic agents targeting caspases-3 and 8.

Entities:  

Keywords:  Anticancer agents; AutoDock Vina; PASS Online; caspases-3 and 8

Mesh:

Substances:

Year:  2019        PMID: 31391686      PMCID: PMC6644186          DOI: 10.4103/ijp.IJP_90_18

Source DB:  PubMed          Journal:  Indian J Pharmacol        ISSN: 0253-7613            Impact factor:   1.200


Introduction

A poptosis is a regulatory mechanism controlling cell proliferation in physiologic and pathologic conditions.[12] It plays a vital role in development, aging, and defense mechanism through the immune system. In oncology, apoptosis proved to be the prime target for anticancer research which comprises two pathways: intrinsic mitochondrial-dependent pathway and the extrinsic death receptor-mediated pathway. Caspases, cysteine-dependent aspartate-directed proteases, are the vital enzymes which synchronize the cellular events of apoptosis. Caspase-8, a member of initiator caspases, mediates extrinsic pathway,[3] while caspase-3, a member of execution caspases, mediates intrinsic pathway.[4] Triterpenoid saponins are the phytoconstituents reported to exhibit antimetastasis, antiproliferative, anti-angiogenic, and reversal of multidrug resistance effects through induction of apoptosis and help in cell differentiation.[5] Saponins were reported to inhibit the growth of human breast cancer cell lines and induce apoptosis in Jurkat cells.[6] Various triterpenoids such as gymnemic acid,[78] rotundic acid,[9] and euscaphic acid[10] are either evaluated or suggested to be a promoter of caspase-3- or caspase-8-mediated apoptosis. This proposed apoptogenic potential of various triterpenoids motivated us to perform in silico screening of naturally occurring and synthetic triterpenoids. We used combination of pharmacological activity and toxicity prediction softwares such as “PASS online”[111213] along with molecular docking software “Autodock Vina”[14] and “LigPlot+”[15] which generate schematic two-dimensional (2D) representations of protein-ligand complexes. PASS online is an online activity prediction software which claims 95% accuracy in their results. It predicts the activity by comparing the provided structure with over 260,000 of drug-like biologically active compounds.[16] AutoDock Vina, one of the most widely used docking softwares, based on gradient optimization algorithm uses empirical scoring function to achieve speed and accuracy in predicting binding modes for ligand on protein molecules,[14]” LigPlot+,” which generates 2D representations of protein-ligand complexes, was used to identify amino acids in target protein where ligand binds, and nature of binding in terms of “type of bond,” i.e., hydrogen bond, covalent bond, etc.[15]

Materials and Methods

Pharmacological activity prediction in PASS Online

Various naturally-occurring and synthetic triterpenoids were identified based on the literature search using PubMed and Google Scholar search engines. Structures of these triterpenoids were either downloaded in molecular data file format (MDL Molfile), i.e., mol extension from websites https://pubchem.ncbi.nlm.nih.gov/, http://www.chemspider.com/, and http://www.ebi.ac.uk/ or downloaded in available format and converted to.mol extension using OpenBabel 2.4.1. Activity prediction is carried out with PASS online as reported elsewhere. Structures in.mol file format were uploaded in PASS online for prediction. Predicted activities were filtered by searching results for caspase-3 and caspase-8 and 67 compounds were selected for further processing. Corresponding Pa (probability to be active) and Pi (probability to be inactive) values were recorded.

Molecular docking with AutoDock Vina

The MDL Mol files of selected triterpenoid structures were converted to protein data bank (PDB) file format (.pdb format) using OpenBabel 2.4.1 and processed with AutoDock Tools 4.2.6. Protein structures, i.e., caspase-3 (PDB ID-3DEI) and caspase-8 (PDB ID-3KJQ) were obtained from Research Collaboratory for Structural Bioinformatics website in.pdb format.

Preparation of ligands for docking

The 3D.mol format structures of triterpenoids were converted to PDB file format using Open Babel 2.4.1 and accessed through AutoDock Tool. Polar hydrogens were added. Gasteiger charges were computed, nonpolar hydrogens were merged, torsion was defined, and files were saved as.pdbqt format.

Preparation of proteins for docking

Caspase-3 (PDB ID-3DEI) and caspase-8 (PDB ID-3KJQ) files accessed using AutoDock Tool. The attached ligands were identified and deleted before processing. Water molecules were removed; both polar and nonpolar hydrogens were added. Gasteiger charges were computed and files were saved as.pdbqt format.

Ligand binding sites on protein

Ligand-binding sites on protein, i.e., caspase-3 and caspase-8 were identified using MetaPocket 2.0, a meta-server which uses consensus method to predict the binding sites using eight methods: LIGSITEcs, PASS, Q-SiteFinder, SURFNET, Fpocket, GHECOM, ConCavity, and POCASA. The best three pocket sites were identified and used for docking with triterpenoid structures.

Determination of grid box and molecular docking

Parameters for grid box were decided based on pocket identified by MetaPocket 2.0. These values were used to dock the corresponding protein with triterpenoid structures in AutoDock Vina. Protein-ligand binding was visualized using UCSF Chimera and 2D schematic diagrams of interactions were obtained with LigPlot+ software. Amino acids showing interactions with ligand structures were identified.

Toxicity profile

Major adverse effects were predicted depending on their structural peculiarities by comparing with the data of over 260,000 compounds using PASS prediction software. General Unrestricted Structure-Activity Relationships (GUSAR) software is used to predict LD50 values in rats by various routes of drug administration.

Results

The PASS online predictions related asiaticoside, madecassoside, maniladiol, betulinic acid, oleanolic acid, hederagenin, and crotalic acid have highest probability to be active (Pa) for stimulation of caspase-3. The Pa scores for these triterpenoids were 0.990, 0.988, 0.987, 0.985, 0.984, 0.982, and 0.956, respectively. While albiziasaponin C, phytolaccagenin, arjunolic acid, hyptatic acid, coussaric acid, and glycyrrhizin showed Pa values 0.975, 0.921, 0.909, 0.909, 0.893, and 0.873, respectively, for stimulation of caspase-8. Table 1 denotes Pa and Pi values of triterpenoids for caspase-3 and caspase-8.
Table 1

PASS online prediction and molecular docking studies of triterpenoids

Serial numberName of triterpenoidsStructureCaspase-3 stimulationCaspase-8 stimulationPreviously reported


PASS online prediction dataBinding energy (Kcal/mol)Amino acid residueHydrogen bondPASS online prediction dataBinding energy (Kcal/mol)Amino acid residueHydrogen bond


PaPiPaPi
13epi Katonic acid[17]0.9160.003−8.6Glu12310.8410.001−7.8Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
223 hydroxyursolic acid[18]0.8960.004−8.7Glu12310.8390.001−5.8Thr14911Activation of caspase- 3 and caspase-8[19]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
3Albiziasaponin A[20]0.9870.001−9.4Glu12310.9690.000−8.9Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
4Albiziasaponin B[20]0.9880.001−9.3Glu12310.9750.001−8.2Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
5Albiziasaponin C[20]0.9880.001−9.8Glu12310.9750.000−8.2Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
6Albiziasaponin D[21]0.9400.003−9.2Glu12310.9250.001−8.0Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
7Albiziasaponin E[21]0.9650.002−9.9Glu12310.9350.000−8.2Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
8Alpha- boswellic acid[17]0.9070.003−8.8Glu12310.8410.001−7.4Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
9Arjunolic acid[18]0.9760.002−8.6Glu12310.9090.001−7.4Thr14911Activation of caspase-3[22]
Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
10Asiatic acid[18]0.8650.004−8.7Glu12310.8290.001−7.1Thr14911Activation of caspase-3[23]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
11Asiaticoside[18]0.9900.001−8.5Glu12310.9680.000−7.2Thr14911Activation of caspase-3[24]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
12Barrigenic acid[18]0.3530.074−4.0Glu12310.5250.013−3.2Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
13Bartogenic acid[18]0.8130.005−7.3Glu12310.7920.002−6.1Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
14B-boswellic acid[17]0.7240.010−9.3Glu12310.7440.002−7.4Thr14911Activation of caspase-3 and caspase-8[25]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
15Betulin[18]0.9740.002−8.3Glu12310.8690.001−5.5Thr14911Activation of caspase-3[26]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
His121His317
Tyr204
16Betulinaldehyde[27]0.9760.002−10.3Glu12310.8340.001−7.3Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
17Betulinic acid[18]0.9850.002−7.1Glu12310.9050.001−7.6Thr14911Activation of caspase-3[28]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
18Bryonolic acid[17]0.7360.009−8.6Glu12310.7590.002−7.9Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
19B-sitosterol[29]0.8060.005Glu12310.3370.099−6.1Thr14911Activation of caspase-3[30]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
20Canophyllal[18]0.7400.009−10.0Glu12310.6290.005−7.8Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
21Canophyllic acid[18]0.9090.003−9.0Glu12310.8080.002−7.5Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
22CDDO[18]0.3800.059−9.6Glu12310.5620.002−6.3Thr14911Activation of caspase-3 and caspase-8[31]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
23Ceanotdic acid[18]0.9020.003−7.4Glu12310.8250.001−6.7Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
24Celastrol[17]0.3380.085−8.8Glu12310.5260.013−7.4Thr14911Activation of caspase-3 and caspase-8[32]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
25Colubrinic acid[18]0.9440.003−8.0Glu12310.8170.002−6.3Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
26Corosolic acid[18]0.8810.004−8.7Glu12310.8250.001−7.5Thr14911Activation of caspase-3 and caspase-8[33]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
27Coussaric acid[18]0.8750.004−8.4Glu12310.8930.001−6.4Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
28Crotalic acid[18]0.9560.003−7.2Glu12310.8170.002−6.8Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
29Epifriedelanol[18]0.8600.004−8.5Glu12310.7580.002−8.0Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
30Erytdrodiol[18]0.9710.002−8.2Glu12310.8780.001−7.4Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
31Euscaphic acid[18]0.8700.004−8.7Glu12310.8520.001−7.6Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
32Faradiol[18]0.9670.002−5.7Glu12310.7660.002−4.3Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
33Friedelin[18]0.7570.008−9.7Glu12310.6900.004−7.8Thr14911Activation of caspase-3[34]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
34Germanicol[18]0.8810.004−9.1Glu12310.7880.002−7.8Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
35Glycyrrhetinic acid[17]0.8440.004−8.8Glu12310.7940.002−7.8Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
36Glycyrrhizin[18]0.8990.003−9.7Glu12310.8730.001−8.3Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
37Goreishic acid III[18]0.5580.020−8.4Glu12310.6970.004−6.7Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
38Guggulsterone[18]0.4220.043−9.5Glu12310.5340.012−6.6Thr14911Activation of caspase-3 and caspase-8[35]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
39Guluronic acid[36]0.3990.051−4.3Glu12310.0210.018−3.6Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
40Gymnemic acid[8]0.7880.006−7.7Glu12310.8200.002−7.2Thr14911Activation of caspase-3[7]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
41Hederagenin[18]0.9820.002−8.5Glu12310.9180.001−7.0Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
42Hyptatic acid A[37]0.9760.002−9.3Glu12310.9090.001−7.7Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
43Imberbic acid[18]0.8460.004−8.8Glu12310.8040.002−7.3Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
44Lupeol[18]0.9780.002−8.6Glu12310.8650.001−7.8Thr14911Activation of caspase-3[38]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
45Madecassic acid[18]0.8210.005−8.1Glu12310.7780.002−6.0Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
46Madecassoside[18]0.9880.001−9.3Glu12310.9370.000−7.5Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
47Maniladiol[39]0.9870.001−7.6Glu12310.8940.001−7.0Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
48Morolic acid[18]0.8770.004−8.9Glu12310.8060.002−7.2Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
49Moronic acid[18]0.6100.016−8.5Glu12310.6920.002−7.9Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
50Oleanolic acid[17]0.9840.002−8.5Glu12310.9140.001−7.9Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
51Phytolaccagenin[18]0.9640.003−7.0Glu12310.9210.001−6.8Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
52Polygalacic acid[18]0.9800.002−8.3Glu12310.9180.001−6.3Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
53Pristimerin[17]0.3960.052−7.8Glu12310.6390.005−7.3Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
54Rehmannic acid[18]0.7960.004−7.3Glu12310.7430.003−7.0Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
55Rotundic acid[9]0.8860.004−8.6Glu12310.8650.001−7.4Thr14911Activation of caspase-3[40]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
56Taraxasterol[18]0.7290.010−8.8Glu12310.7920.002−6.2Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
57Tingenone[18]0.2790.170−9.7Glu12310.4000.052−7.7Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
58Ursolic acid[18]0.9120.003−8.3Glu12310.8340.001−7.2Thr14911Activation of caspase-3[41]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
59Withaferin A[18]0.3030.126−8.2Glu12310.2990.145−5.9Thr14911Activation of caspase-3[42]
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
60Zizyberanalic acid[18]0.9440.003−8.0Glu12310.8170.002−6.9Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
61Caratuberside A[43]0.8570.004−7.9Glu12310.7180.003−7.6Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
62Caratuberside B[43]0.7730.007−7.9Glu12310.6910.004−6.3Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
63Caratuberside C[43]0.5450.022−9.3Glu12310.4450.032−8.0Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
64Caratuberside D[44]0.4950.028−9.4Glu12310.3540.084−7.5Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
65Caratuberside E[44]0.3980.052−9.0Glu12310.3540.084−7.9Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
66Caratuberside F[44]0.4700.032−9.1Glu12310.4350.036−6.8Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121
67Caratuberside G[44]0.6890.012−8.5Glu12310.5100.016−7.4Thr14911
Gly122Pro415
Rxb300Tyr412
Gly165Ser316
Tyr204His317
His121

CDDO = 2-cyano-3,12-dioxoolean-1,9-dien-28-oic acid

PASS online prediction and molecular docking studies of triterpenoids CDDO = 2-cyano-3,12-dioxoolean-1,9-dien-28-oic acid

Molecular docking with AudoDock Vina

Glycyrrhizin, friedelin, canophyllal, albiziasaponin C, tingenone, withaferin A, and epifriedelanol had highest binding affinity for caspase-3. The binding-free energy for these triterpenoids was − 10.1, −10.0, −10.0, −9.9, −9.8, −9.7, and −9.5 kcal/mol, respectively. While β-boswellic acid, CDDO, canophyllic acid, tingenone, and bryonolic acid showed −10.1, −10.0, −10.0, −9.9, −9.8, −9.7, and −9.5 kcal/mol of binding-free energy, respectively, for caspase-8. Table 1 showed results for docking with all triterpenoids with caspase-3 and caspase-8. We also identified amino acids in the binding pocket on target proteins and type of bonding to map the orientation of ligands in binding pocket [Table 1]. in silico-predicted toxicities were filtered by applying a cutoff of Pa = 0.7 and most significant were reported in Table 2. LD50 for various routes of administration were also predicted and presented.
Table 2

Toxicological profile of triterpenoids

Serial numberTriterpenoidsPASS online toxicological dataRat acute toxicity LD50 (mg/kg)


PaPiToxicityIPIVOralSC
13epi Katonic acid0.9710.003Muscle weakness1917.0005.478282.800297.400
0.9300.005Inflammation
0.9080.010Behavioral disturbance
0.8840.005Nephrotoxic
0.7990.026Hematotoxic
0.7430.012Hypercholesterolemic
223 hydroxyursolic acid0.7240.016Hypercholesterolemic1426.0007.020304.80078.370
3Albiziasaponin A0.9290.005Inflammation162.70020.3901342.000116.000
0.7800.029Hematotoxic
0.7540.005Cytotoxic
0.7650.018Nephrotoxic
0.7680.028Behavioral disturbance
0.7450.018Muscle weakness
0.7360.019Embryotoxic
0.7270.020Teratogen
4Albiziasaponin B0.9500.004Inflammation134.80019.6601211.000224.000
0.8250.022Hematotoxic
0.8210.021Behavioral disturbance
0.7980.014Muscle weakness
0.7820.004Cytotoxic
0.7880.014Embryotoxic
0.7790.014Teratogen
5Albiziasaponin C0.9500.004Inflammation105.70020.700430.400374.600
0.8250.022Hematotoxic
0.8210.021Behavioral disturbance
0.8010.013Nephrotoxic
0.7980.014Muscle weakness
0.7880.014Embryotoxic
0.7820.004Cytotoxic
0.7790.014Teratogen
6Albiziasaponin D0.9640.003Nephrotoxic86.09023.4401240.00029.740
0.9460.005Hematotoxic
0.8690.002Cytotoxic
0.8700.009Inflammation
0.8500.010Muscle weakness
0.8410.009Embryotoxic
0.8370.009Teratogen
0.8430.018Behavioral disturbance
7Albiziasaponin E0.9580.003Nephrotoxic88.59022.6501285.00027.270
0.9400.006Hematotoxic
0.8520.003Cytotoxic
0.8370.011Muscle weakness
0.8230.021Behavioral disturbance
0.8220.011Embryotoxic
0.8190.011Teratogen
8Alpha boswellic acid0.9410.004Muscle weakness1894.0005.107374.700325.800
0.8630.009Inflammation
0.8260.009Nephrotoxic
0.7890.026Behavioral disturbance
0.7430.012Hypercholesterolemic
9Arjunolic acid0.8550.010Inflammation1712.0007.9551045.00025.600
0.7780.016Nephrotoxic
0.7270.038Hematotoxic
0.7110.038Behavioral disturbance
10Asiatic acid1480.0008.703934.70038.790
11Asiaticoside0.8640.009Inflammation132.50023.930987.00080.190
0.8540.008Embryotoxic
0.8180.011Teratogen
0.7520.034Hematotoxic
0.7140.037Behavioral disturbance
12Barrigenic acid0.9360.004Acidosis. metabolic369.8002508.0002244.000537.000
0.9270.004Shivering
0.9250.004Red cell aplasia
0.9140.002Skin irritation. corrosive
0.9120.008Euphoria
13Bartogenic acid0.7510.020Inflammation1684.0007.586978.500117.800
14Beta-boswellic acid0.8060.013Muscle weakness1571.0005.217268.200114.600
0.7280.015Hypercholesterolemic
15Betulin0.9400.005Inflammation1253.0006.2291935.000102.700
0.9000.003Irritation
0.7860.015Nephrotoxic
0.7530.010Hypercholesterolemic
16Betulinaldehyde0.8810.003Irritation1803.0004.0112086.000263.700
0.8030.015Inflammation
17Betulinic acid0.9330.005Inflammation1742.0005.9722253.000248.500
09290.003Irritation
0.8710.015Behavioral disturbance
0.8290.009Nephrotoxic
0.7620.008Hypercholesterolemic
18Bryonolic acid0.9520.004Muscle weakness2301.0006.978426.4001032.000
0.8810.008Inflammation
0.8670.006Nephrotoxic
0.8500.017Behavioral disturbance
0.8280.004Hypercholesterolemic
0.7700.031Hematotoxic
19B−sitosterol0.9310.008Conjunctivitis1765.0006.052788.500602.500
0.9260.008Sleep disturbance
0.9070.004Teratogen
0.9030.005Embryotoxic
0.9060.008Ocular toxicity
20Canophyllal1594.00011.7702698.0002698.000
21Canophyllic acid0.8100.004Hypercholesterolemic1981.00027.8704711.0001328.000
0.8170.013Inflammation
0.7780.016Nephrotoxic
0.7660.029Behavioral disturbance
0.7240.007Irritation
22CDDO756.3006.8801478.000181.700
23Ceanothic acid0.8380.011Inflammation1473.0007.3631795.00078.960
0.7890.005Irritation
0.7160.026Nephrotoxic
24Celastrol0.8120.011Nephrotoxic1725.0009.682317.100742.800
0.8070.013Muscle weakness
0.7100.024Inflammation
25Colubrinic acid0.8070.014Inflammation1413.0005.3471342.000127.300
0.7500.006Irritation
26Corosolic acid0.7870.016Inflammation1428.0006.478284.60098.930
27Coussaric acid0.8000.013Nephrotoxic1336.0007.511198.80047.590
0.7230.020Teratogen
0.7290.035Behavioral disturbance
28Crotalic acid0.9120.005Muscle weakness1662.0005.205252.700673.900
0.8900.012Behavioral disturbance
0.8600.009Inflammation
0.8490.004Irritation
0.8470.003Hypercholesterolemic
0.8210.010Nephrotoxic
0.7710.031Hematotoxic
29Epifriedelanol0.8010.004Hypercholesterolemic2016.00028.5204438.0001268.000
0.7700.005Irritation
0.7650.018Inflammation
0.7230.020Muscle weakness
0.7150.026Nephrotoxic
30Erythrodiol0.9260.006Inflammation1495.0005.072590.40094.840
0.8860.007Muscle weakness
0.8600.011Weakness
0.8030.013Nephrotoxic
0.7330.014Hypercholesterolemic
31Euscaphic acid1060.0007.899916.600101.700
32Faradiol0.9680.002Irritation1461.0006.1081843.000517.200
0.8650.009Inflammation
0.8430.010Muscle weakness
0.7940.013Teratogen
0.7710.015Embryotoxic
0.7320.034Behavioral disturbance
0.7080.008Sensitization
33Friedelin0.7560.009Hypercholesterolemic1736.00033.6904245.0003218.000
0.7600.019Inflammation
0.7590.019Nephrotoxic
0.7110.038Behavioral disturbance
0.7020.011Cataract
34Germanicol0.8200.012Muscle weakness1806.00015.7701854.0001240.000
0.7830.006Hypercholesterolemic
35Glycyrrhetinic acid0.9880.002Weakness2133.0005.810269.600239.300
0.9850.002Muscle weakness
0.9460.005Inflammation
0.9400.004Nephrotoxic
0.9320.007Behavioral disturbance
0.8820.014Hematotoxic
0.8720.009Hypotension
0.8520.003Cardiodepressant
36Glycyrrhizin0.9960.001Muscle weakness192.20023.2202097.000144.200
0.9950.002Inflammation
0.9900.002Nephrotoxic
0.9830.003Behavioral disturbance
0.9650.004Hematotoxic
0.9480.005Drowsiness
0.8950.012Sleep disturbance
0.8490.011Hypertensive
0.7760.007Hypercholesterolemic
37Goreishic acid III0.7230.008Sensitization1132.0006.849283.50090.770
38Guggulsterone0.8560.008Teratogen875.90033.2102550.0003396.000
0.8450.009Embryotoxic
0.8440.014Necrosis
0.8320.017Hepatotoxic
0.8190.013Excitability
0.8030.018Reproductive dysfunction
0.7910.007Optic neuropathy
0.7960.008Weight gain
0.7910.025Behavioral disturbance
0.7810.019Neurotoxic
39Guluronic acid0.9290.006Reproductive dysfunction119.900436.4001.009761.200
0.8140.023Diarrhea
0.8130.022Behavioral disturbance
0.7900.025Pure red cell aplasia
0.7450.021Hematemesis
0.7400.019Hyperglycemic
0.7340.012Endocrine disruptor
0.7310.020Occult bleeding
40Gymnemic acid0.9690.003Muscle weakness217.20020.0901775.00034.460
0.9550.003Teratogen
0.9480.003Embryotoxic
0.9090.007Inflammation
0.8280.021Hematotoxic
0.8090.004Cytotoxic
0.7400.022Nephrotoxic
0.7320.034Behavioral disturbance
41Hederagenin0.8550.010Inflammation1631.0006.869316.70058.190
0.8000.013Nephrotoxic
0.7890.015Muscle weakness
0.7460.032Behavioral disturbance
0.7390.013Hypercholesterolemic
0.7380.023Hypotension
42Hyptatic acid A0.8170.013Inflammation1330.0009.343850.800177.200
0.7080.027Nephrotoxic
0.7030.039Behavioral disturbance
43Imberbic acid0.9680.003Muscle weakness1964.0005.893242.30063.530
0.9290.005Inflammation
0.8830.013Behavioral disturbance
0.8640.006Nephrotoxic
0.7830.029Hematotoxic
44Lupeol0.9480.003Irritation1684.0005.8672888.000786.900
0.9010.007Inflammation
0.8210.021Behavioral disturbance
0.7940.014Nephrotoxic
0.7510.010Hypercholesterolemic
45Madecassic acid1191.0008.9801069.00052.300
46Madecassoside0.8580.008Embryotoxic127.30024.410733.800479.200
0.8420.011Inflammation
0.8220.011Teratogen
0.7670.028Behavioral disturbance
0.7250.038Hematotoxic
47Maniladiol0.9470.004Muscle weakness1680.0003.9871163.000318.900
0.9170.006Inflammation
0.8660.015Behavioral disturbance
0.8210.010Nephrotoxic
48Morolic acid0.8750.008Muscle weakness1647.0008.6761984.0001087.000
0.7930.005Hypercholesterolemic
0.7960.014Nephrotoxic
0.7600.019Inflammation
0.7350.034Behavioral disturbance
49Moronic acid0.7280.015Hypercholesterolemic1291.0007.7582107.0001399.000
50Oleanolic acid0.9170.006Inflammation1749.0005.124369.600146.500
0.8860.007Muscle weakness
0.8680.015Behavioral disturbance
0.8420.008Nephrotoxic
0.7430.012Hypercholesterolemic
0.7340.037Hematotoxic
51Phytolaccagenin0.8360.011Inflammation1531.00010.210920.600264.200
0.7650.018Nephrotoxic
0.7390.019Muscle weakness
0.7320.034Behavioral disturbance
52Polygalacic acid0.8250.013Inflammation1629.0007.522828.30038.460
0.7270.024Nephrotoxic
53Pristimerin0.7100.021Muscle weakness1400.0007.2121084.0001048.000
0.7030.028Nephrotoxic
54Rehmannic acid0.9560.004Hepatotoxic1169.0005.029209.60074.740
55Rotundic acid0.8170.013Inflammation1249.0007.539229.00078.980
0.7430.022Nephrotoxic
0.7400.033Behavioral disturbance
56Taraxasterol0.9370.003Irritation1584.0004.6121619.000877.100
0.7370.023Nephrotoxic
0.7130.019Hypercholesterolemic
57Tingenone0.7300.024Nephrotoxic1488.0007.4692268.0001164.000
58Ursolic acid0.7880.016Inflammation1459.0005.376265.000146.500
0.7280.015Hypercholesterolemic
0.7190.025Nephrotoxic
59Withaferin A807.20013.9301310.000267.700
60Zizyberanalic acid0.8070.014Inflammation1413.0005.3471342.000127.300
0.7500.006Irritation
61Caratuberside A0.9820.002Neurotoxic68.81021.64080.29069.880
0.9780.003Dyspnea
0.9550.003Teratogen
0.9520.003Embryotoxic
0.9490.005Behavioral disturbance
0.9480.004Emetic
0.9450.004Excitability
0.9340.003Necrosis
0.9180.007Reproductive dysfunction
62Caratuberside B0.9740.002Neurotoxic64.31024.15069.16043.140
0.9580.004Nausea
0.9490.005Hematotoxic
0.9380.005Emetic
0.9200.004Necrosis
0.9210.009Behavioral disturbance
0.9040.004Teratogen
0.9000.005Embryotoxic
63Caratuberside C0.9670.004Hematotoxic31.05013.84076.93029.410
0.9650.003Neurotoxic
0.9500.003Teratogen
0.9470.003Embryotoxic
0.9470.005Behavioral disturbance
0.9400.005Nausea
0.8960.007Necrosis
0.8690.008Dyspnea
64Caratuberside D0.9520.003Neurotoxic95.90015.20078.22028.230
0.9520.005Hematotoxic
0.9470.005Behavioral disturbance
0.9370.005Nausea
0.9070.005Embryotoxic
0.9020.005Teratogen
0.8970.007Necrosis
0.8720.008Dyspnea
65Caratuberside E0.9550.005Hematotoxic20.95014.68086.89029.950
0.9460.003Neurotoxic
0.9190.007Nausea
0.9120.010Behavioral disturbance
0.8710.008Dyspnea
0.8700.010Necrosis
0.8640.012Emetic
0.8490.008Teratogen
66Caratuberside F0.9740.004Hematotoxic54.05017.21086.54022.040
0.9630.003Neurotoxic
0.9490.005Nausea
0.9350.006Behavioral disturbance
0.9080.008Emetic
0.9030.005Dyspnea
0.8960.005Teratogen
0.8920.005Embryotoxic
67Caratuberside G0.9810.002Neurotoxic83.04014.760255.00025.450
0.9660.002Teratogen
0.9660.002Embryotoxic
0.9620.004Behavioral disturbance
0.9590.004Hematotoxic
0.9580.004Nausea
0.8900.008Necrosis
0.8840.009Emetic

IP = Intraperitoneal, IV = Intravenous, SC = Subcutaneous, CDDO = 2-cyano-3,12-dioxoolean-1,9-dien-28-oic acid

Toxicological profile of triterpenoids IP = Intraperitoneal, IV = Intravenous, SC = Subcutaneous, CDDO = 2-cyano-3,12-dioxoolean-1,9-dien-28-oic acid

Discussion

Triterpenoids are metabolites of isopentenyl pyrophosphate oligomers and are ubiquitously distributed throughout the plant kingdom.[45] These are a class of chemical compounds composed of three terpene units with the molecular formula C30H48.[46] Naturally-occurring[47], as well as synthetic triterpenoids[4849], have wide spectrum of biological and pharmacological effects, including anti-inflammatory, antibacterial, antiviral, hepatoprotective, gastroprotective, anti-ulcer, cardiovascular, hypolipidemic, antiatherosclerotic, immunoregulatory, anticancer, and cancer preventive activities.[50] Recently, adulteration, content variation, and hence safety of herbal medicaments or formulations forced researchers to search for alternative strategy to isolate, standardize, and formulate herbal drugs.[51] Ancient approach used mixture of multiple herbal components as a drug,[52] but modern medical science shifted the approach to isolate single component and establish the pharmacological significance of it.[53] In our study, we pushed this approach further and carried out in silico testing of these herbal components, i.e., triterpenoids to predict the pharmacological activities and toxicities of these compounds. Through literature search, we identified various natural and synthetic triterpenoids and obtained their structures [Table 1]. These triterpenoids were subjected for pharmacological activity prediction using PASS Online software and those showing Pa >0.7 either for anticancer activity, apoptogenic potential, or caspase-3 and/or caspase-8 stimulation were selected for further processing. We obtained 67 triterpenoids, the activity prediction data of which is represented in Table 1. Among these 67 compounds, 15 were previously reported for caspase-3 and/or caspase-8 stimulation activity with Pa of above 0.7 (11 out of 15 for caspase-3 and 9 out of 15 for caspase-8). This ascertains the vitality of in silico predictions to determine lead compounds from the herbal origin. Further, we processed these compounds for docking against caspase-3 and caspase-8 through AutoDock Vina. We identified the binding pocket on proteins and docking was done targeting these pockets. The minimum binding-free energy of −10.0, −9.9, −9.8, and −9.5 were shown by friedelin, tingenone, albiziasaponin A, and albiziasaponin C, respectively, for caspases-3, and -11, -9.6, -9.6, -9.4 by β-boswellic acid, bryonolic acid, canophyllic acid, and CDDO, respectively, for caspase-8 [Table 1]. Most of these compounds are reported for their anticancer activity, but the exact mechanism is still remained to be established. The results obtained in our study pointed toward the apoptogenic potential through stimulation of either caspase-3 or caspase-8 as a mechanism for these compounds, and future studies may target these proteins. Safety of triterpenoid saponins always remained as a concern for authorities,[5455] especially in Western countries. Uses of these saponins are even prohibited in some countries, particularly in Central and Southern America,[55] hence we addressed this issue by predicting the toxicities of triterpenoids selected for our study through GUSAR method. The results obtained are reported in Table 2. We even predicted LD50 of these triterpenoids in rats by various routes of administration. Most of these triterpenoids were predicted to be inflammatory in nature and produces hematotoxicity. Various previous studies reported triterpenoid saponins as hematotoxic[545657] which supports results we obtained in our study through in silico predictions.

Conclusion

The predictions of caspase-stimulant activity (along with docking with caspase-3 and 8) and toxicity profile of triterpenoids helped in lead compound identification, e.g., albiziasaponin A, albiziasaponin C, caratuberoside A, and canophyllal for further in vitro and in vivo studies. Results obtained in our study will be helpful to researchers in planning further studies with these triterpenoids.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  47 in total

1.  PASS biological activity spectrum predictions in the enhanced open NCI database browser.

Authors:  Vladimir V Poroikov; Dmitrii A Filimonov; Wolf-Dietrich Ihlenfeldt; Tatyana A Gloriozova; Alexey A Lagunin; Yulia V Borodina; Alla V Stepanchikova; Marc C Nicklaus
Journal:  J Chem Inf Comput Sci       Date:  2003 Jan-Feb

Review 2.  LEGAL STATUS AND TOXICITY OF SAPONINS.

Authors:  A J GEORGE
Journal:  Food Cosmet Toxicol       Date:  1965-07

3.  Immunomodulatory, hemolytic properties and cytotoxic activity potent of triterpenoid saponins from Cephalaria balansae.

Authors:  Hilal Top; Nazli Boke Sarikahya; Ayse Nalbantsoy; Suheyla Kirmizigul
Journal:  Phytochemistry       Date:  2017-02-16       Impact factor: 4.072

4.  Synthetic triterpenoids cooperate with tumor necrosis factor-related apoptosis-inducing ligand to induce apoptosis of breast cancer cells.

Authors:  Marc L Hyer; Rhonda Croxton; Maryla Krajewska; Stanislaw Krajewski; Christina L Kress; Meiling Lu; Nanjoo Suh; Michael B Sporn; Vincent L Cryns; Juan M Zapata; John C Reed
Journal:  Cancer Res       Date:  2005-06-01       Impact factor: 12.701

5.  Characterization of new sweet triterpene saponins from Albizia myriophylla.

Authors:  Masayuki Yoshikawa; Toshio Morikawa; Kyoko Nakano; Yutana Pongpiriyadacha; Toshiyuki Murakami; Hisashi Matsuda
Journal:  J Nat Prod       Date:  2002-11       Impact factor: 4.050

6.  Isolation of poly-alpha-L-guluronate lyase from Klebsiella aerogenes.

Authors:  J Boyd; J R Turvey
Journal:  Carbohydr Res       Date:  1977-08       Impact factor: 2.104

7.  Design, synthesis and cytotoxicity of cell death mechanism of rotundic acid derivatives.

Authors:  Yu-Fang He; Min-Lun Nan; Jia-Ming Sun; Zhao-Jie Meng; Wei Li; Ming Zhang
Journal:  Bioorg Med Chem Lett       Date:  2013-03-13       Impact factor: 2.823

Review 8.  Effects of triterpenes on the immune system.

Authors:  José-Luis Ríos
Journal:  J Ethnopharmacol       Date:  2010-01-14       Impact factor: 4.360

9.  Anticancer properties of ester derivatives of betulin in human metastatic melanoma cells (Me-45).

Authors:  Małgorzata Drąg-Zalesińska; Marcin Drąg; Marcin Poręba; Sylwia Borska; Julita Kulbacka; Jolanta Saczko
Journal:  Cancer Cell Int       Date:  2017-01-03       Impact factor: 5.722

Review 10.  Saponins from Chinese Medicines as Anticancer Agents.

Authors:  Xiao-Huang Xu; Ting Li; Chi Man Vivienne Fong; Xiuping Chen; Xiao-Jia Chen; Yi-Tao Wang; Ming-Qing Huang; Jin-Jian Lu
Journal:  Molecules       Date:  2016-10-05       Impact factor: 4.411

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