Analysis of Transdermal Distribution and Blood Components in Guinea Pigs Following the Application of Bai Jie Zi San Using Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging and Ultra-High-Performance Liquid Chromatography-Quadrupole-Time-of-Flight Mass Spectrometry.

IF 2.6 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Phytochemical Analysis Pub Date : 2025-10-01 Epub Date: 2025-07-24 DOI:10.1002/pca.70016
Xiaoliang Fan, Chun Zhang, Leibing Xue, Yanhui Shen, Yeqing Chen, Tianhong Ma, Mengxuan Chen, Jia Zheng
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引用次数: 0

Abstract

Introduction: Bai Jie Zi San (BJZS) is a traditional Chinese herbal formula commonly used in acupoint sticking therapy, extensively used in clinical practice for the prevention and treatment of asthma. It has a wide application not only in China but also across various East Asian countries.

Objective: This study aimed to analyze the transdermal distribution and blood components in guinea pigs following the application of BJZS.

Methods: We used matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) to visualize the transdermal spatial distribution of BJZS components in the skin tissue of guinea pigs and ultra-high-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) to identify the components present in the blood.

Results: The results revealed significant differences in the distribution of each component across various skin areas of the guinea pigs, with the Feishu acupoint showing significantly higher concentrations compared to the other acupoints. Seventeen components were successfully identified in the blood, including eight from Corydalis Rhizoma, four from Asari Radix et Rhizoma, two from Semen Sinapis Albae, two from Rhizoma zingiberis recens, and one from Kansui Radix.

Conclusion: The study demonstrated that combining MALDI-MSI with UHPLC-Q-TOF-MS technology offered an intuitive, straightforward, and reliable approach to effectively reflect the distribution characteristics of transdermal components and identify the types of components entering the bloodstream after the application of BJZS. These findings provided valuable insights into the pharmacological mechanisms and modern development of this traditional Chinese herbal formula.

应用基质辅助激光解吸电离质谱成像和超高效液相色谱-四极杆飞行时间质谱技术分析白介子散在豚鼠体内的透皮分布和血液成分
简介:白介子散(BJZS)是穴位贴敷治疗中常用的传统中药方剂,广泛应用于临床防治哮喘。它不仅在中国,而且在东亚各国都有广泛的应用。目的:研究中药复方中药复方合剂在豚鼠体内的透皮分布及血液成分。方法:采用基质辅助激光解吸/电离-质谱成像技术(MALDI-MSI)可视化豚鼠皮肤组织中BJZS成分的透皮空间分布,采用超高效液相色谱-四极杆飞行时间质谱法(UHPLC-Q-TOF-MS)鉴定血液中存在的成分。结果:各成分在豚鼠不同皮肤区域的分布有显著差异,肺俞穴浓度明显高于其他穴位。从血中成功鉴定出17种成分,其中8种来自延胡,4种来自细辛,2种来自Sinapis Albae, 2种来自姜黄,1种来自Kansui。结论:本研究表明MALDI-MSI与UHPLC-Q-TOF-MS技术相结合,能够直观、直观、可靠地反映中药复方经皮成分的分布特征,鉴别中药复方应用后进入血液的成分类型。这些发现为这一传统中药配方的药理机制和现代发展提供了有价值的见解。
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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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