Characterization of the chemical constituents of Croton crassifolius Geisel extract and plasma pharmacokinetics of 6 terpenoids after oral administration by UPLC-Q/TOF-MS.

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-08-01 Epub Date: 2024-05-21 DOI:10.1002/pca.3383
Xiuting Shen, Pinfei Zhong, Shiqin Jiang, Shenxin Xuan, Wei Zeng, Zhongxiang Zhao
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Abstract

Introduction: Croton crassifolius Geisel. (CCG) is a traditional Chinese medicine widely used in South China. It has various pharmacological effects and is often used in treating rheumatoid arthritis and gastric and duodenal ulcers. However, the chemical characteristics and its effective constituents are still scarcely studied.

Objective: To determine the phytochemical profile of the CCG extract and to investigate the chemical characteristics of terpenoids extracted from rat plasma following oral administration of CCG extract based on UPLC-Q/TOF-MS. Moreover, six terpenoids in CCG were quantified, and in vivo pharmacokinetic behavior after oral CCG extract was further explored.

Results: In total, 56 terpenoids were tentatively identified in the CCG extract and 16 terpenoids were detected in rat plasma after oral CCG extract. In addition, the contents of six terpenoids in CCG were clarified. The plasma quantification method of six terpenoids was further established, validated, and confirmed to have good sensitivity and specificity. The six analytes exhibited excellent linearity in respective concentration ranges (r ≥ 0.998). The intra-day and inter-day precisions relative standard deviation (RSD, %) were less than 11.27%, and the accuracies ranged from -7.06% to 9.91%. Stability, extraction recovery, and matrix effect in plasma were within the required limits (RSD < 15%).

Conclusion: A total of 56 terpenoids were identified in CCG and 16 prototype components in plasma after oral CCG. The validated quantitative method was successfully applied to the simultaneous determination of six major terpenoids in plasma. The pharmacokinetic parameters are clarified, which can guide the clinical application of CCG.

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利用 UPLC-Q/TOF-MS 分析巴豆提取物的化学成分以及口服后 6 种萜类化合物的血浆药代动力学。
介绍:巴豆(Croton crassifolius Geisel.(CCG)是一种在中国南方广泛使用的传统中药。它具有多种药理作用,常用于治疗类风湿性关节炎、胃及十二指肠溃疡等。然而,对其化学特性及其有效成分的研究仍然很少:通过 UPLC-Q/TOF-MS 方法测定 CCG 提取物的植物化学成分,并研究大鼠口服 CCG 提取物后血浆中提取的萜类化合物的化学特征。此外,还对CCG中的6种萜类化合物进行了定量分析,并进一步探讨了大鼠口服CCG提取物后的体内药代动力学行为:结果:CCG提取物中共初步鉴定出56种萜类化合物,大鼠口服CCG提取物后血浆中检测到16种萜类化合物。此外,还明确了 CCG 中 6 种萜类化合物的含量。进一步建立和验证了六种萜类化合物的血浆定量方法,并确认其具有良好的灵敏度和特异性。六种分析物在各自的浓度范围内呈良好的线性关系(r ≥ 0.998)。日内和日间精密度相对标准偏差(RSD,%)均小于 11.27%,准确度在 -7.06% 至 9.91% 之间。血浆中的稳定性、提取回收率和基质效应均在要求的范围内(RSD 结论):口服CCG后,在CCG中鉴定出56种萜类化合物,在血浆中鉴定出16种原型成分。验证的定量方法成功地应用于血浆中 6 种主要萜类化合物的同时测定。该方法明确了药代动力学参数,可为CCG的临床应用提供指导。
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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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