7 research outputs found
Investigation of α-glucosidase inhibitory activity of tetracera scandens leaf using fourier transform infrared spectroscopy-based metabolomics
Introduction: Tetracera scandens is a shrub that belongs to Dilleniaceae family. The leaves of this plant have medicinal values and traditionally been used in the treatment of diabetes mellitus in Malaysia. The conventional quality control analysis of medicinal plantsthat relies on the quantification of few major metabolites is considered time-consuming since it requires extensive sample preparation and neglects the possible impacts that the other metabolites could have on the activity.
Objectives: This study was aimed to investigate the α-glucosidase inhibitory (AGI) potential of different ratios of water-methanol extracts of T. scandens leaves and to establish a predictive multivariate model that could be used for the quality evaluation of T. scandens leaf based on the Fourier transform infrared (FT-IR) spectra of its extracts. Materials and Methods: Different ratios of solvent (0%, 20%, 40%, 60%, 80% and 100% methanol in water) were used to prepare a total of 36 extracts. The AGI potential and the FT-IR fingerprint spectrum were acquired for each extract. Results: A four components
OPLS model (1+3+0) with R2Y of 0.951 and Q2Y of 0.916 was established to describe the correlation between the fingerprint FT-IR spectra of different T. scandens extracts and their corresponding AGI activities. The carbonoxygen, carbon-halide single bonds, as well hydroxyl and carbonyl groups were identified to be positively correlated with the AGI activity. Conclusion: An OPLS model was successfully developed as a rapid quality evaluation method to predict the AGI activity of T. scandens leaves
Investigation of α-Glucosidase Inhibitory Metabolites from Tetracera scandens Leaves by GC–MS Metabolite Profiling and Docking Studies
Stone leaf (Tetracera scandens) is a Southeast Asian medicinal plant that has been traditionally used for the management of diabetes mellitus. The underlying mechanisms of the antidiabetic activity have not been fully explored yet. Hence, this study aimed to evaluate the α-glucosidase inhibitory potential of the hydromethanolic extracts of T. scandens leaves and to characterize the metabolites responsible for such activity through gas chromatography–mass spectrometry (GC–MS) metabolomics. Crude hydromethanolic extracts of different strengths were prepared and in vitro assayed for α-glucosidase inhibition. GC–MS analysis was further carried out and the mass spectral data were correlated to the corresponding α-glucosidase inhibitory IC50 values via an orthogonal partial least squares (OPLS) model. The 100%, 80%, 60% and 40% methanol extracts displayed potent α-glucosidase inhibitory potentials. Moreover, the established model identified 16 metabolites to be responsible for the α-glucosidase inhibitory activity of T. scandens. The putative α-glucosidase inhibitory metabolites showed moderate to high affinities (binding energies of −5.9 to −9.8 kcal/mol) upon docking into the active site of Saccharomyces cerevisiae isomaltase. To sum up, an OPLS model was developed as a rapid method to characterize the α-glucosidase inhibitory metabolites existing in the hydromethanolic extracts of T. scandens leaves based on GC–MS metabolite profiling
Phytochemicals and biological activity of Tetracera scandens Linn. Merr. (Dilleniaceae): a short review
Tetracera scandens is a southeast Asian shrub that belongs to family Dilleniaceae. Over the years, different parts of the plant have been used for the management of different diseases, including diabetes mellitus, hypertension, rheumatism, diarrhea, hepatitis, and inflammation. This variety of medical indications has attracted the attention of many researchers to this plant species, leading to the conduction of many research studies on different parts of the plant. These studies have confirmed some of the aforementioned activities of the plant, whereas other indications remain to be ascertained. This article is an attempt to summarize the studies conducted on T. scandens and to explore the isolated phytochemicals
Anti-inflammatory and analgesic effects of trachyspermum ammi seed extract and Its GC-MS analysis
Introduction: Since ancient times Trachyspermum ammi
was utilized for its anti-inflammatory and analgesic effects
in traditional medicine system. Objectives: Present study
aimed to evaluate the anti-inflammatory and analgesic
effect and characterization of chemical composition
seed extract of T. ammi through GC-MS. Material and
Methods: Seed extracts were prepared through soxhlet
extraction using n-hexane, chloroform and methanol as
solvents. Gas chromatography-mass spectroscopy (GCMS)
analysis was performed by derivatized sample of
T. ammi extract. Acute toxicity test performed at dose of
400mg/kg, 800mg/kg, 1600mg/kg and 3200mg/kg. Two
different strengths (minimum therapeutic dose 500mg/
kg and maximum therapeutic dose1000mg/kg) were
given to Wistar rats to measure anti-inflammatory and
analgesic activity. Results: Results from analgesic and antiinflammatory
activity demonstrate that in both activities
standard drug (tramadol) have more analgesic (percentage
of analgesia 26.08%) and regarding anti-inflammatory
effect diclofenac sodium (percentage of inhibition of paw
edema 29.68%) more effective as compared to test drug.
When efficacy of all extracts compared with each other
n-hexane extract showed more percentage of inhibition
(percentage analgesia 20.69% and percentage inhibition of
paw edema 22.21%) at maximum effective dose 1000mg/kg.
In order to find out significance difference among groups
ANOVA test was used at 95% significant level. A number
of different bioactive compounds were identified through
GC-MS analysis. Conclusion: Results showed that T. ammi
seed extracts have anti-inflammatory and analgesic activity
potentiating in neurotransmission of GABA and repression
of receptor of glutamate along with suppression of nitric
oxide (NO) pathway. Phenolic compounds present in seeds
may responsible for anti-inflammatory activity
Evaluation and comparison of Trachyspermum ammi seed extract for its anti-inflammatory effect
Aims and Objectives: The present study was aimed to evaluate the anti-inflammatory effect of different seed extracts of Trachyspermum ammi at different doses.
Materials and Methods: Three different seed extracts were
prepared through Soxhlet extraction method by using n-hexane, chloroform and methanol solvents. Acute toxicity test performed at dose of 400 mg/kg, 800 mg/kg, 1600 mg/kg and 3200 mg/kg. Two different strengths of seed extracts (minimum therapeutic dose of 500 mg/kg and maximum therapeutic dose of 1000 mg/kg) were given to Wistar rats to measure anti-inflammatory activity through Carrageenan induced paw edema method. Results: The standard drug diclofenac sodium was (percentage of inhibition of paw edema
29.68%) more effective as compared to test drug. When efficacy of all extracts compared with each other, n-hexane extract showed more anti-inflammatory effect (percentage inhibition of paw edema 22.21%) at maximum effective dose
1000 mg/kg. Conclusion: Seed extracts of T. ammi showed anti-inflammatory activity by potentiating the neurotransmission of GABA and also by repression
glutamate receptor
Investigation of α-glucosidase inhibitory metabolites from Tetracera scandens leaves by GC–MS metabolite profiling and docking studies
Stone leaf (Tetracera scandens) is a Southeast Asian medicinal plant that has been traditionally used for the management of diabetes mellitus. The underlying mechanisms of the antidiabetic activity have not been fully explored yet. Hence, this study aimed to evaluate the α-glucosidase inhibitory potential of the hydromethanolic extracts of T. scandens leaves and to characterize the metabolites responsible for such activity through gas chromatography–mass spectrometry (GC–MS) metabolomics. Crude hydromethanolic extracts of different strengths were prepared and in vitro assayed for α-glucosidase inhibition. GC–MS analysis was further carried out and the mass spectral data were correlated to the corresponding α-glucosidase inhibitory IC50 values via an orthogonal partial least squares (OPLS) model. The 100%, 80%, 60% and 40% methanol extracts displayed potent α-glucosidase inhibitory potentials. Moreover, the established model identified 16 metabolites to be responsible for the α-glucosidase inhibitory activity of T. scandens. The putative α-glucosidase inhibitory metabolites showed moderate to high affinities (binding energies of −5.9 to −9.8 kcal/mol) upon docking into the active site of Saccharomyces cerevisiae isomaltase. To sum up, an OPLS model was developed as a rapid method to characterize the α-glucosidase inhibitory metabolites existing in the hydromethanolic extracts of T. scandens leaves based on GC–MS metabolite profiling
Characterization of alpha-glucosidase inhibitory activity of Tetracera scandens leaves by Fourier transform infrared spectroscopy-based metabolomics
Tetracera scandens is a medicinal shrub that belongs to Dilleniaceae. The leaves of the plant have been traditionally used in the treatment of diabetes mellitus in Malaysia. The conventional quality control analysis of medicinal plants that relies on the quantification of few major metabolites is considered time-consuming since it requires extensive sample preparation and neglects the possible impacts that the minor metabolites could have on the activity. This study was aimed to investigate the α-glucosidase inhibitory (AGI) potential of different hydromethanolic extracts of T. scandens leaves and to establish a predictive multivariate model that could be used for the quality evaluation of T. scandens leaf based on the Fourier transform infrared (FT-IR) spectra of its extracts. Different solvent ratios (0%, 20%, 40%, 60%, 80% and 100% methanol in water) were used to prepare a total of 36 extracts. The AGI potential and the FT-IR fingerprint spectrum were acquired for each extract. A four components orthogonal partial least squares (OPLS) model (1 + 3 + 0) with R2Y of 0.951 and Q2Y of 0.916 was established to describe the correlation between the fingerprint FT-IR spectra of different T. scandens extracts and their corresponding AGI activities. The carbon-halide, carbon–oxygen single bonds, as well as the hydroxyl and carbonyl groups were identified to be positively correlated with the AGI activity. To sum up, an OPLS model was successfully developed as a rapid quality evaluation method to predict the AGI activity of T. scanden