Biochemical fingerprint and pharmacological applications of Barleria noctiflora L.f. leaves

Alhagi maurorum Ethanolic Extract Rescues Hepato-Neurotoxicity and Neurobehavioral Alterations Induced by Lead in Rats via Abrogating Oxidative Stress and the Caspase-3-Dependent Apoptotic Pathway

This work investigated the probable protective effect of an Alhagi maurorum ethanolic extract on the hepatotoxicity and neurotoxicity accompanied by neurobehavioral deficits caused by lead in rats. Rats in four groups were orally administered distilled water, ethanolic extract of A. maurorum (300 mg/kg BW daily), lead (100 mg/kg BW daily for 3 months), and lead + A. maurorum extract. The results demonstrated that lead exposure resulted in elevated locomotor activities and sensorimotor deficits associated with a decrease in brain dopamine levels. Moreover, lead exposure significantly increased liver function markers. In addition, the lead-treated rats exhibited extensive liver and brain histological changes and apoptosis. The lead treatment also triggered oxidative stress, as demonstrated by the increase in malondialdehyde (MDA) concentrations with a remarkable reduction in the activities of antioxidant enzymes, reduced glutathione (GSH) levels, and transcriptional mRNA levels of antioxidant genes in the liver and brain. Nevertheless, co-treatment with the A. maurorum extract significantly ameliorated the lead-induced toxic effects. These findings indicate that the A. maurorum extract has the ability to protect hepatic and brain tissues against lead exposure in rats through the attenuation of apoptosis and oxidative stress.

Phytochemicals and Biological Activities of Barleria (Acanthaceae)

Plant species belonging to the family Acanthaceae are globally known to possess various medicinal properties and have cultural and economic importance in both traditional medicine and horticulture. They are important to both animals and humans and are used as food or for ornamental purposes worldwide. Barleria is the third largest genus in the family Acanthaceae. A few of the highly important and reported species of Barleria include B. prionitis, B. cristata, B. grandiflora, and B. lupulina. The flowers, leaves, stems, roots, and seed extracts of plants belonging to this genus are rich in bioactive compounds and have exhibited significant medicinal potential for the treatment of various ailments and infections. Evidence derived from several studies has demonstrated the antioxidant, antibacterial, antifungal, anti-inflammatory, anticancer, antidiabetic, antiulcer, hepatoprotective, analgesic, antiamoebic, antihelminthic, antiarthritic, antihypertensive, antiviral properties and toxicity of extracts, in addition inhibition of acetylcholinesterase activity and biosynthesis of nanoparticles, of the plant and seed extracts of species belonging to Barleria. Studies have reported that bioactive compounds such as flavonoids, quinones, iridoids, phenylethanoid glycosides, the immunostimulant protein “Sankaranin”, and antibiotics isolated from Barleria species are resposnsible for the above biological activities. Traditionally, the genus Barleria has significant medicinal potential; however, there is a scarcity of information on various species that are yet to be evaluated. This review provides a comprehensive report on existing literature, concerning the phytochemistry and biological activities of the genus Barleria.

Screening chemical inhibitors for alpha-amylase from leaves extracts of Murraya koenigii (Linn.) and Aegle marmelos L

OBJECTIVES

Aqueous leaves extracts of Murraya koenigii (M. koenigii) and Aegle marmelos (A. marmelos) were prepared and effect of the extracts on inhibiting alpha-amylase playing essential roles on converting starch into glucose have been examined using in vitro assays.

METHODS

Alpha amylase inhibitory assay was used to asses the in vitro antidiabetic activity of the extracts. Gas chromatography-mass spectrometry (GC-MS) analysis was performed to identify the volatile molecules of the extracts. Identified molecule were converted as ligand and docked against human pancreatic α-amylase (0.95 Å; PDB ID: 5U3A) using Autodock tool.

RESULTS

The data analyzes suggested that the alpha-amylase inhibition potential of the extract obtained from M. koenigii was stronger than that of the A. marmelos at low concentrations (<1 mg/mL), whereas both the extracts depicted similar inhibition effects on the enzyme at high concentration (>1 mg/mL). The phytochemicals present in both the plant extracts were identified by using their respective GC-MS data and the data analyzes revealed that the extracts of M. koenigii and A. Marmelos seemed to consist of about 20 and 24 diverse chemical molecules, respectively. Through the molecular docking studies, azulene of M. koenigii and hydroxycyclodecadiene of A. marmelos showed higher binding affinity on alpha-amylase.

CONCLUSIONS

Concentration-dependent alpha-amylase inhibition effects of the extracts were observed and M. koenigii contains more alpha-amylase inhibitory effects due to the presence of azulene. This is primary lead to find out the better anti diabetic natural based drug to the society after clinical trial.

Identification of α-glucosidase inhibitors from Clinacanthus nutans leaf extract using liquid chromatography-mass spectrometry-based metabolomics and protein-ligand interaction with molecular docking

The present study used in vitro and in silico techniques, as well as the metabolomics approach to characterise α-glucosidase inhibitors from different fractions of Clinacanthus nutans. C. nutans is a medicinal plant belonging to the Acanthaceae family, and is traditionally used to treat diabetes in Malaysia. n-Hexane, n-hexane: ethyl acetate (1:1, v/v), ethyl acetate, ethyl acetate: methanol (1:1, v/v), and methanol fractions were obtained via partitioning of the 80% methanolic crude extract. The in vitro α-glucosidase inhibitory activity was analyzed using all the fractions collected, followed by profiling of the metabolites using liquid chromatography combined with mass spectrometry. The partial least square (PLS) statistical model was developed using the SIMCA P⁺14.0 software and the following four inhibitors were obtained: (1) 4,6,8-Megastigmatrien-3-one; (2) N-Isobutyl-2-nonen-6,8-diynamide; (3) 1′,2′-bis(acetyloxy)-3′,4′-didehydro-2′-hydro-β, ψ-carotene; and (4) 22-acetate-3-hydroxy-21-(6-methyl-2,4-octadienoate)-olean-12-en-28-oic acid. The in silico study performed via molecular docking with the crystal structure of yeast isomaltase (PDB code: 3A4A) involved a hydrogen bond and some hydrophobic interactions between the inhibitors and protein. The residues that interacted include ASN259, HID295, LYS156, ARG335, and GLY209 with a hydrogen bond, while TRP15, TYR158, VAL232, HIE280, ALA292, PRO312, LEU313, VAL313, PHE314, ARG315, TYR316, VAL319, and TRP343 with other forms of bonding.

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The antidiabetic potential of various extracts of C. nutans leaf has been evaluated.

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Multivariate data analysis identified 4 α-glucosidase inhibiting compounds.

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In silico study predicted the protein-inhibitors interaction.