基于代谢物分析和综合网络药理学的 Benincasa hispida (Thunb.) Cogn.果对非胰岛素依赖型糖尿病的作用机制。

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-11-07 DOI:10.1002/pca.3476
Barun Das Gupta, Amit Kar, Seha Singha, Srijon Gayen, Sandipan Jana, Nanaocha Sharma, Pallab K Haldar, Pulok Kumar Mukherjee
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引用次数: 0

摘要

介绍:Benincasa hispida (Thunb.) Cogn.(葫芦科)是印度的一种重要食用植物,具有降血糖和降血脂活性。(葫芦科)是印度的一种重要食用植物,具有降血糖和降血脂活性:目的:比较评估微波辅助萃取法制备的 B. hispida 部分的 α-葡萄糖苷酶和 α-淀粉酶酶抑制潜力,并通过基于网络药理学分析的代谢物图谱预测代谢物对非胰岛素依赖型糖尿病的相互作用:方法:采用经过验证的微波辅助萃取法获得糙叶榕果实的不同馏分。以对硝基苯-α-D-吡喃葡萄糖苷和阿卡波糖为标准进行体外酶测定,以评估抗糖尿病潜力。通过超高效液相色谱-QToF-MS/MS分析,确定了活性组分中的植物大分子。网络药理学分析给出了可能的基因和疾病关联、组合协同网络,并预测了可能的作用机制:结果:与阿卡波糖(0.298 ± 0.08 mg/mL 和 0.532 ± 0.38 mg/mL)相比,乙酸乙酯馏分(0.546 ± 0.17 mg/mL 和 1.134 ± 0.42 mg/mL)对α-葡萄糖苷酶和α-淀粉酶的酶抑制潜力(IC50)最高,这说明乙酸乙酯馏分在改善非胰岛素依赖型糖尿病方面具有潜在作用。代谢物分析鉴定出了 17 种代谢物,鉴定出的分子之间的协同作用表明,多分子作用通过胰岛素抵抗途径、AMPK 信号途径、PPAR 信号途径和 PI3K-Akt 信号途径改善非胰岛素依赖型糖尿病。通过多靶点方法,观察到了已确定分子的联合协同作用,以控制非胰岛素依赖型糖尿病:结论:B. hispida 果实的多酚富集部分和确定的植物化合物可改善非胰岛素依赖型糖尿病。因此,可以进一步研究糙叶蝙蝠蛾的富集提取物,以开发用于治疗非胰岛素依赖型糖尿病的优质、安全和有效的产品。
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Metabolite Profiling and Integrated Network Pharmacology Based Mechanism of Benincasa hispida (Thunb.) Cogn. Fruit Against Non-insulin-Dependent Diabetes Mellitus.

Introduction: Benincasa hispida (Thunb.) Cogn. (Cucurbitaceae) is an essential food plant in India possessing antihyperglycemic and antihyperlipidemic activities.

Objective: The objective included comparative estimation of α-glucosidase and α-amylase enzyme inhibition potential of B. hispida fractions prepared by microwave-assisted extraction and prediction of metabolite interaction against non-insulin-dependent diabetes mellitus by metabolite profiling based network pharmacology analysis.

Methods: A validated microwave-assisted extraction method was employed to obtain different fractions of B. hispida fruits. The in vitro enzyme assay was done with p-nitrophenyl-α-D-glucopyranoside and acarbose as standard to evaluate antidiabetic potential. The phytomolecules present in the active fraction were identified by UHPLC-QToF-MS/MS analysis. Network pharmacology analysis gave possible gene and disease association, combination synergy network, and predicted probable mechanism of action.

Results: The highest enzyme inhibition potential (IC50) was shown by the ethyl acetate fraction (0.546 ± 0.17 mg/mL and 1.134 ± 0.42 mg/mL) compared to acarbose (0.298 ± 0.08 mg/mL and 0.532 ± 0.38 mg/mL), respectively, for α-glucosidase and α-amylase addressing the potential role in ameliorating non-insulin-dependent diabetes mellitus. Metabolite profiling resulted in the identification of 17 metabolites, and a synergy between the identified molecules suggested multimolecule action in the amelioration of non-insulin-dependent diabetes mellitus through insulin resistance pathway, AMPK signaling pathway, PPAR signaling pathway, and PI3K-Akt signaling pathway. Combination synergy of identified molecules was observed through a multitarget approach to manage non-insulin-dependent diabetes mellitus.

Conclusion: Polyphenol-enriched fraction of B. hispida fruits and identified phytocompounds ameliorate non-insulin-dependent diabetes mellitus. Thus, enriched extract of B. hispida can be further investigated in order to develop high-quality, safe, and effective products for the management of non-insulin-dependent diabetes mellitus.

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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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