Comprehensive Metabolomic and Bioactivity Profiling of Zingiberaceae Species From Manipur: Elucidating Antidiabetic and Antioxidant Mechanisms Through In Vitro and In Silico Approaches.

IF 3 3区生物学 Q2 BIOCHEMICAL RESEARCH METHODS

Phytochemical Analysis Pub Date : 2025-02-24 DOI:10.1002/pca.3517

Khaidem Kennedy Singh, Huidrom Abesana Mangang, Oinam Kelo Singh, Ojit Singh Keithellakpam, Pardeep Kumar Bhardwaj, Pulok K Mukherjee, Nanaocha Sharma

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引用次数: 0

Abstract

Introduction: The Zingiberaceae family is well known for its therapeutic characteristics, notably its antidiabetic and antioxidant potential, which may be linked to its diverse bioactive metabolite composition. Despite widespread usage in traditional medicine, there has been little research on the chemical composition and biological activity of Zingiberaceae plants from Manipur, India.

Objective: This study aims to comprehensively profile metabolites and evaluate the antidiabetic and antioxidant properties of seven Zingiberaceae species through in vitro assays and in silico molecular docking analysis.

Methods: Hydroalcoholic extracts of Curcuma caesia, Kaempferia parviflora, Curcuma zedoaria, Zingiber officinale, Curcuma angustifolia, Curcuma aromatica, and Curcuma longa were examined. TPC and TFC were measured using Folin-Ciocalteu and Aluminum chloride colorimetry. Antidiabetic efficacy was assessed by α-glucosidase and α-amylase inhibition tests. DPPH and ABTS tests measured antioxidant activity. GC-MS was used for metabolite profiling, and molecular docking was used to explore bioactive compound-antidiabetic protein interactions (3L4Y, 5UBA, NOX1).

Results: C. caesia showed the highest TPC (85.41 GAE mg/g) and TFC (126.15 QE mg/g). Z. officinale, C. angustifolia, and K. parviflora exhibited significant α-glucosidase (74%-80%) and α-amylase (62%-73%) inhibition, surpassing acarbose. Strong antioxidant activity was observed, especially in C. caesia and Z. officinale. GC-MS identified 61 bioactive compounds, with molecular docking showing strong interactions of gingerol and zederone with 3L4Y and 5UBA, and germacrone and β-sesquiphellandrene with NOX1.

Conclusions: Seven Zingiberaceae species from Manipur exhibit notable antidiabetic and antioxidant potential, with C. caesia and Z. officinale showing superior efficacy. Key bioactives like gingerol, zederone, germacrone, and β-sesquiphellandrene demonstrated strong therapeutic target interactions, supporting their pharmacological potential.

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曼尼普尔省姜科植物的综合代谢组学和生物活性分析：通过体外和计算机方法阐明抗糖尿病和抗氧化机制。

姜科植物因其治疗特性而闻名，特别是其抗糖尿病和抗氧化潜力，这可能与其多种生物活性代谢物组成有关。尽管在传统医学中广泛使用，但对产自印度曼尼普尔的姜科植物的化学成分和生物活性的研究很少。目的：通过体外实验和硅分子对接分析，全面了解姜科7种植物的代谢产物，评价其抗糖尿病和抗氧化性能。方法：对莪术、小山柰、莪术、黄姜、鲜姜、细叶莪术、香莪术、长莪术的水醇提取物进行测定。采用福林比色法和氯化铝比色法测定TPC和TFC。采用α-葡萄糖苷酶和α-淀粉酶抑制试验评价其降糖效果。DPPH和ABTS检测抗氧化活性。利用GC-MS分析代谢产物，利用分子对接探索生物活性化合物与降糖蛋白（3L4Y, 5UBA, NOX1）的相互作用。结果：川芎嗪TPC最高（85.41 GAE mg/g）， TFC最高（126.15 QE mg/g）。山茱萸、山茱萸和细花对α-葡萄糖苷酶（74% ~ 80%）和α-淀粉酶（62% ~ 73%）的抑制作用显著高于阿卡波糖。其抗氧化活性较强，尤以山参和牛蒡子为佳。GC-MS鉴定出61种生物活性化合物，分子对接显示姜辣素和zederone与3L4Y和5UBA有较强的相互作用，germacone和β-倍半黄烷烯与NOX1有较强的相互作用。结论：曼尼普尔省7种姜科植物均具有显著的抗糖尿病和抗氧化作用，其中姜黄和铁皮姜疗效较好。关键的生物活性物质，如姜辣素、zederone、germacone和β-倍半黄烯显示出很强的治疗靶标相互作用，支持它们的药理潜力。

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来源期刊

Phytochemical Analysis 生物-分析化学

CiteScore

6.00

自引率

6.10%

发文量

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.