利用亲和超滤-高效液相色谱-QTOFMS技术,结合靶向分离、体外验证和分子对接,快速筛选唐铁线莲中的胰脂肪酶抑制剂。

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Phytochemical Analysis Pub Date : 2025-01-01 Epub Date: 2024-07-15 DOI:10.1002/pca.3422
Yangfei Wei, Tao Chen, Hai Song, Shuo Wang, Cheng Shen, Xiaojun Wang, Yulin Li, Junke Wang
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引用次数: 0

摘要

简介:从复杂的天然产物中筛选新型胰脂肪酶抑制剂是一项有意义的任务:从复杂的天然产物中筛选新型胰脂肪酶抑制剂是一项有意义的工作:方法:采用亲和超滤、高效液相色谱-四极杆质谱联用技术,从唐古拉山金线莲(Clematis tangutica)中准确筛选分离出胰脂肪酶抑制剂,发现新的减肥主导化合物,加速藏药资源的开发利用:方法:采用亲和超滤、高效液相色谱-四极杆飞行时间质谱(AU-HPLC-QTOFMS)、靶向分离、体外验证和分子对接相结合的方法筛选唐古拉胰脂肪酶抑制剂。采用 AU-HPLC-QTOFMS 技术筛选潜在的活性物质。采用大孔树脂、制备液相色谱法和高速逆流色谱法准确而有针对性地分离了活性化合物。体外抑制实验检测了目标化合物对胰脂肪酶的抑制活性。通过分子对接分析了目标化合物与胰脂肪酶的结合亲和力和结合位点:结果:从唐古拉山草药中筛选出 11 种抑制胰脂肪酶的物质。首次筛选出7种三萜类皂苷作为脂肪酶抑制剂,并成功制备出纯度高于97%的抑制剂。唐古特皂甙 B、夹竹桃皂甙 J、大戟皂甙 H1 和芦丁具有较强的抑制作用,其 IC50 值分别为 1.539 ± 0.048、1.661 ± 0.092、1.793 ± 0.069 和 1.792 ± 0.094 mmol/l。此外,与胰脂肪酶相比,它们的ΔG值最低,分别为-10.84、-9.97、-10.87和-9.39 kcal/mol:采用 AU-HPLC-QTOFMS、靶向分离、体外验证和分子对接等综合策略从唐古拉菌中快速筛选并定向分离出胰脂肪酶抑制剂是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapidly screening of pancreatic lipase inhibitors from Clematis tangutica using affinity ultrafiltration-HPLC-QTOFMS technique combined with targeted separation, in vitro validation, and molecular docking.

Introduction: Screening of novel pancreatic lipase inhibitors from complex natural products is a meaningful task.

Objectives: Through accurately screening and separating pancreatic lipase inhibitors from Clematis tangutica (C. tangutica), to discover new leading compounds for slimming and accelerate the development and utilization of Tibetan medicine resources.

Methods: An integrated strategy that combines affinity ultrafiltration and high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (AU-HPLC-QTOFMS), targeted separation, in vitro validation, and molecular docking was developed to screen pancreatic lipase inhibitors from C. tangutica. The AU-HPLC-QTOFMS technique was performed to fish for the potential active substances. Macroporous resin, preparative liquid chromatography, and high-speed countercurrent chromatography were implemented for the accurate and targeted separation of active compounds. The inhibitory activities of target compounds to pancreatic lipase were detected by the inhibition experiments in vitro. The binding affinities and binding sites were analyzed using molecular docking.

Results: A total of eleven kinds of pancreatic lipase inhibitory substances were screened from C. tangutica. Seven triterpenoid saponins were screened for the first time as lipase inhibitors and successfully prepared with purities higher than 97%. Tanguticoside B, clematangoticoside J, hederoside H1, and rutin showed stronger inhibitory effects with IC50 values of 1.539 ± 0.048, 1.661 ± 0.092, 1.793 ± 0.069, and 1.792 ± 0.094 mmol/l. Moreover, they have the lowest ΔG values of -10.84, -9.97, -10.87, and -9.39 kcal/mol to pancreatic lipase.

Conclusion: The integrated strategy using AU-HPLC-QTOFMS, targeted separation, in vitro validation, and molecular docking was feasible for rapidly screening and directionally isolating pancreatic lipase inhibitors from C. tangutica.

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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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