LC-MS Analysis, Computational Investigation, and Antimalarial Studies of Azadirachta indica Fruit.

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS Bioinformatics and Biology Insights Pub Date : 2023-01-01 DOI:10.1177/11779322231154966
Kolade O Faloye, Stephen A Adesida, Samuel A Oguntimehin, Adetola H Adewole, Olajide B Omoyeni, Sunday J Fajobi, Jeremiah P Ugwo, Isaac D Asiyanbola, Victoria O Bamimore, Emmanuel G Fakola, Olayemi J Oladiran, Michael Spiteller
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Abstract

Malaria is a deadly disease that continues to pose a threat to children and maternal well-being. This study was designed to identify the chemical constituents in the ethanolic fruit extract of Azadirachta indica, elucidate the pharmacological potentials of identified phytochemicals through the density functional theory method and carry out the antimalarial activity of extract using chemosuppression and curative models. The liquid chromatography-mass spectrometry (LC-MS) analysis of the ethanolic extract was carried out, followed by the density functional theory studies of the identified phytochemicals using B3LYP and 6-31G (d, p) basis set. The antimalarial assays were performed using the chemosuppression (4 days) and curative models. The LC-MS fingerprint of the extract led to the identification of desacetylnimbinolide, nimbidiol, O-methylazadironolide, nimbidic acid, and desfurano-6α-hydroxyazadiradione. Also, the frontier molecular orbital properties, molecular electrostatic potential, and dipole moment studies revealed the identified phytochemicals as possible antimalarial agents. The ethanolic extract of A indica fruit gave 83% suppression at 800 mg/kg, while 84% parasitaemia clearance was obtained in the curative study. The study provided information about the phytochemicals and background pharmacological evidences of the antimalarial ethnomedicinal claim of A indica fruit. Thus, isolation and structure elucidation of the identified phytochemicals from the active ethanolic extract and extensive antimalarial studies towards the discovery of new therapeutic agents is recommended for further studies.

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印楝果的LC-MS分析、计算研究及抗疟研究。
疟疾是一种致命疾病,继续对儿童和孕产妇的福祉构成威胁。本研究旨在鉴定印楝果乙醇提取物的化学成分,通过密度泛函理论方法阐明所鉴定植物化学物质的药理潜力,并通过化学抑制和治疗模型研究提取物的抗疟活性。对乙醇提取物进行液相色谱-质谱(LC-MS)分析,然后利用B3LYP和6-31G (d, p)基集对鉴定的植物化学物质进行密度泛函理论研究。采用化疗抑制模型(4天)和治疗模型进行抗疟试验。提取液的LC-MS指纹图谱鉴定为去乙酰基nimbibinolide、nimbidiol、o- methyl lazadironolide、nimbidic acid和地呋喃-6α- hydroxyazadiradone。此外,前沿分子轨道性质、分子静电势和偶极矩的研究表明,所鉴定的植物化学物质可能是抗疟药。在800 mg/kg剂量下,印度果乙醇提取物对寄生虫的抑制率为83%,对寄生虫的清除率为84%。本研究为印度果的抗疟民族药主张提供了植物化学成分和药理学背景证据。因此,建议从活性乙醇提取物中分离和阐明已鉴定的植物化学物质,并进行广泛的抗疟疾研究,以发现新的治疗剂。
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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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