| Literature DB >> 35663844 |
Maisha Maliha Medha1, Hiron Saraj Devnath1, Biswajit Biswas2, Bishwajit Bokshi1, Samir Kumar Sadhu1.
Abstract
The aim of this study is to assess the antioxidative profile and related pharmacological potentialities of the ethanolic extract of Amischotolype mollissima leaves, traditionally used in treating pain, injury, malarial fever, epilepsy and hyperacidity, followed by a computational approach for the analysis of bioactive compounds identified by GC-MS. In GC-MS analysis, the extract yielded ten compounds, with 4,6-di-t-butyl-2-alpha-methyl benzyl phenol having the highest amount. In vitro investigation of the antioxidative properties of the plant was conducted with 2,2-diphenyl-1-picryl hydrazyl (DPPH) radical and hydrogen peroxide scavenging assays. The amounts of secondary metabolites phenolics, flavonoids, and tannins were measured at 142 mg GAE/g, 534 mg QE/g, and 110 mg GAE/g, respectively. An acute toxicity study was carried out on mice, which revealed no toxicity up to the dosage of 4000 mg/kg bw. For the dosages of extract at 250 and 500 mg/kg bw, the writhing response test induced by acetic acid exhibited a statistically significant (p < 0.05) analgesic effect in mice. The oral glucose tolerance test (OGTT) and alpha-glucosidase enzyme inhibitory activity assay were used to examine the antihyperglycemic potential, in which the extract reduced the blood glucose level to 6.22 mmol/l and 3.82 mmol/l, at dosages of 250 and 500 mg/kg bw, respectively at 60 min in OGTT even though no activity was observed in the α-glucosidase enzyme inhibitory assay. In an antibacterial assay, the extract's minimum inhibitory concentration (MIC) against E. coli, P. aeruginosa, and S. aureus was determined to be 8, 16, and 8 µg/ml, respectively. This study shows that the usage of A. mollissima leaves in folklore medication is justified.Entities:
Keywords: ANOVA, one-way analysis of variance; Amischotolype mollissima; Analgesic; Antihyperglycemic; Antioxidative; Commelinacea; GC-MS analysis; GC–MS, gas chromatography-mass spectroscopy; In silico profiling; NIST, National Institute of Standards and Technology; PDB ID, protein data bank identification code; SC50, scavenging concentration 50%; SD, standard deviation; UV, ultra-violet; bw, body weight
Year: 2022 PMID: 35663844 PMCID: PMC9160412 DOI: 10.1016/j.sjbs.2022.103312
Source DB: PubMed Journal: Saudi J Biol Sci ISSN: 2213-7106 Impact factor: 4.052
Fig. 1GC–MS-based chromatogram of A. mollissima leaves extract.
GC–MS data of compounds in A. mollissima leaves extract.
| Sl. no. | RT | Phytochemicals | Molecular formula | Mol. wt. (gm/mol) | % Peak area |
|---|---|---|---|---|---|
| 1 | 19.81 | Pentanoic acid, 5-hydroxy-, 2,4-di-t-butyl phenyl esters | C19H30O3 | 306 | 1.11 |
| 2 | 21.041 | Pentyl tetratriacontyl ether | C39H80O | 564 | 0.94 |
| 3 | 27.323 | Heptacosanoic acid, 25-methyl-, methyl ester | C29H58O2 | 438 | 1.15 |
| 4 | 29.823 | Benzenepropanoic acid, 3,5-bis(1,1-dimethyl ethyl)-4-hydroxy-, methyl ester | C18H28O | 292 | 1.53 |
| 5 | 30.802 | Dibutyl phthalate | C16H22O4 | 278 | 5.48 |
| 6 | 31.694 | 10,18-Bisnorabieta-8,11,13-triene | C18H26 | 242 | 1.16 |
| 7 | 32.358 | 4,6-Di-t-butyl-2-alpha-methyl benzyl phenol | C23H32O | 324 | 10.58 |
| 8 | 33.323 | 3,4-dihydro-2-(phenyl methylene)- 1(2H)-Napthalenone | C17H14O | 234 | 0.78 |
| 9 | 33.497 | 2-Anilino-4-methyl quinoline | C16H14N2 | 234 | 1.43 |
| 10 | 34.409 | 1,4-Dimethyl-5-phenyl-naphthalene | C18H16 | 232 | 3.89 |
Fig. 2Major compounds detected in GC–MS analysis of A. mollissima leaves extract (a) 4,6-di-t-butyl-2-alpha-methyl benzyl phenol (b) 1,4-dimethyl-5-phenyl-naphthalene and (c) dibutyl phthalate.
Approximate SC50 values of antioxidative assays and total secondary metabolites content of A. mollissima leaves extract.
| Sample/ | DRSA | HPSA | TPC | TFC | TTC | TAC |
|---|---|---|---|---|---|---|
| 60 ± 0.32 | 87 ± 0.25 | 142 ± 0.2 | 534 ± 0.016 | 110 ± 0.46 | 103 ± 1.2 | |
| Ascorbic acid | 13 ± 0.21 | 40 ± 0.62 | ||||
*Values expressed are mean ± SD.
Fig. 3Effect of A. mollissima leaves extract on changes in body weight of mice.
Effect of A. mollissima leaves extract on acetic acid-induced writhing of mice (n = 5).
| Animal group | Dose (mg/kg bw) | Mean writhing ± SD | % Inhibition of writhing | |
|---|---|---|---|---|
| Negative control | – | 26.4 ± 2.79 | ||
| Diclofenac Na | 25 | 8.2 ± 1.64*▲Δ | 68.94 | 12.56 |
| 250 | 16.8 ± 4.49*θ Δ | 36.36 | 4.07 | |
| 500 | 12.2 ± 2.16*θ▲ | 53.78 | 8.98 |
* p < 0.05 vs. Control (Dunnett’s t test); θ p < 0.05 vs. diclofenac Na 25 mg/kg bw; ▲ p < 0.05 vs A. mollissima extract 250 mg/kg bw; Δ p < 0.05 vs. A. mollissima extract 500 mg/kg bw (pair-wise comparison by Post Hoc Tukey test).
MIC (µg/ml) of A. mollissima leaves extract and standard against bacterial strains.
| Bacterial class | Bacterial strain | Ciprofloxacin | |
|---|---|---|---|
| Gram-negative | 8 | 2 | |
| Gram-positive | 8 | 4 |
Fig. 4Effect of A. mollissima leaves extract and standard on the blood levels of glucose in mice group in OGTT.
Fig. 5Binding region of compounds in the active site of 4NOS (diclofenac – red and 4,6-di-t-butyl-2-alpha-methyl benzyl phenol – yellow).
Fig. 62D predicted binding mode of (a) diclofenac and (b) 4,6-di-t-butyl-2-alpha-methyl benzyl phenol with 4NOS receptor.
Fig. 7Binding region of compounds in the active site of 6JB3 (glibenclamide – blue and 1,4-dimethyl-5-phenyl-naphthalene – yellow).
Fig. 82D predicted binding mode of (a) glibenclamide and (b) 1,4-dimethyl-5-phenyl-naphthalene with 6JB3 receptor.