基于亲和超滤- uplc - qe - orbitrap - ms平台高效筛选绝经后女性精液中靶向骨质疏松化合物

IF 2.6 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Phytochemical Analysis Pub Date : 2025-10-01 Epub Date: 2025-07-25 DOI:10.1002/pca.70018
Li Yishan, Li Yawen, Liu Wanjie, Yang Kunping, Feng Wei, Xu Tian, Gao Xiaochen, Sun Jiaming
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引用次数: 0

摘要

绝经后骨质疏松症是一种由雌激素缺乏引起的骨骼疾病,由于其显著的治疗效果,在临床实践中通常通过使用cuscucus semen及其复方制剂来解决。目的:采用亲和超滤法联合超高效液相色谱-四极杆-轨道阱质谱(UPLC-QE-Orbitrap-MS)技术,系统鉴定菟丝子精液中与雌激素受体β (ESR2)相互作用的生物活性化合物,以寻找可能的治疗方案。方法:采用C18色谱柱对菟丝子提取物进行分离,得到极性不同的组分。通过测定骨保护素(osteoprotegerin, OPG)表达,初步评价MC3T3-E1细胞抗骨质疏松活性。利用亲和超滤技术结合UPLC-QE-Orbitrap-MS筛选与ESR2结合的配体,并进行分子对接验证相互作用机制。通过CCK-8增殖试验、OPG定量和碱性磷酸酶(ALP)活性分析进一步证实了所鉴定化合物的成骨作用。结果:100%甲醇洗脱的菟丝子提取物具有明显的抗骨质疏松作用。成功鉴定出与ESR2相互作用的黄芪苷、异鼠李素和槲皮素三种黄酮类化合物。体外验证证明了这些化合物的功效。结论:本研究提出了一种综合亲和超滤、UPLC-QE-Orbitrap-MS和生物活性验证的综合策略,可有效鉴定Cuscutae Semen中esr2靶向的绝经后骨质疏松化合物。研究结果为开发绝经后骨质疏松症的创新疗法提供了理论和实证基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-Efficiency Screening of Compounds Targeting Postmenopausal Osteoporosis in Cuscutae Semen Based on Affinity Ultrafiltration-UPLC-QE-Orbitrap-MS Platform.

Introduction: Postmenopausal osteoporosis, a skeletal disorder induced by estrogen deficiency, is commonly addressed in clinical practice through the use of Cuscutae semen and its compound formulations, owing to their significant therapeutic efficacy.

Objective: This study sought to systematically identify bioactive compounds present in Cuscutae semen that interact with estrogen receptor β (ESR2) using Affinity Ultrafiltration combined with Ultra-Performance Liquid Chromatography-Quadrupole-Orbitrap Mass Spectrometry (UPLC-QE-Orbitrap-MS) to find possible therapy options for PMOP.

Methods: The Cuscutae semen extract was fractionated using a C18 column to obtain fractions based on distinct polarity. Preliminary evaluation of anti-osteoporotic activity was conducted in MC3T3-E1 cells by assessing osteoprotegerin (OPG) expression. Affinity Ultrafiltration integrated with UPLC-QE-Orbitrap-MS was utilized to screen for ligands binding to ESR2, followed by molecular docking to validate the interaction mechanisms. The osteogenic effects of the identified compounds were further confirmed through CCK-8 proliferation assays, OPG quantification, and alkaline phosphatase (ALP) activity analysis.

Results: The fraction of Cuscutae semen extract eluted with 100% methanol exhibited significant anti-osteoporotic activity. Three flavonoids-Astragalin, Isorhamnetin, and Quercitrin-that interact with ESR2 were successfully identified. In vitro validation demonstrated the efficacy of these compounds.

Conclusion: This study presents a comprehensive strategy that integrates Affinity Ultrafiltration, UPLC-QE-Orbitrap-MS, and bioactivity validation to efficiently identify ESR2-targeted postmenopausal osteoporosis compounds in Cuscutae Semen. The findings offer both theoretical and empirical foundations for the development of innovative therapeutics for postmenopausal osteoporosis.

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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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