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1.广西中医药大学广西壮瑶药重点实验室,南宁 530200
2.广西中医药大学图书馆,南宁 530200
Received:10 March 2025,
Revised:2025-06-27,
Accepted:27 June 2025,
Published:30 September 2025
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秦丹,傅鹏,曹家杰,等.瑶药上山虎成分分析、指纹图谱建立及抗炎谱效关系研究[J].中国药房,2025,36(18):2244-2249.
QIN Dan,FU Peng,CAO Jiajie,et al.Study on component analysis, fingerprint establishment and anti-inflammatory spectrum-effect relationship of Yao ethnic medicine Pittosporum pauciflorum[J].ZHONGGUO YAOFANG,2025,36(18):2244-2249.
秦丹,傅鹏,曹家杰,等.瑶药上山虎成分分析、指纹图谱建立及抗炎谱效关系研究[J].中国药房,2025,36(18):2244-2249. DOI: 10.6039/j.issn.1001-0408.2025.18.05.
QIN Dan,FU Peng,CAO Jiajie,et al.Study on component analysis, fingerprint establishment and anti-inflammatory spectrum-effect relationship of Yao ethnic medicine Pittosporum pauciflorum[J].ZHONGGUO YAOFANG,2025,36(18):2244-2249. DOI: 10.6039/j.issn.1001-0408.2025.18.05.
目的
2
分析瑶药上山虎的化学成分,建立指纹图谱,并探讨其抗炎作用的谱效关系。
方法
2
采用超高效液相色谱-四极杆-静电场轨道阱质谱技术分析上山虎药材(编号S6)的化学成分;采用高效液相色谱法建立10批广西不同产地上山虎样品(编号S1~S10)的指纹图谱,并进行相似度评价和化学模式识别分析;以脂多糖诱导构建RAW264.7炎症细胞模型,考察上山虎的抗炎活性;以一氧化氮(NO)、肿瘤坏死因子α(TNF-α)、白细胞介素6(IL-6)、IL-1β抑制率为药效学指标,采用灰色关联度分析和偏最小二乘法回归分析评价上山虎抗炎作用的谱效关系。
结果
2
从上山虎药材中共鉴定出黄酮类、酚酸类、脂类等60个化学成分;从10批样品指纹图谱中共标定了14个共有峰,相似度为0.883~0.991;共指认了3个共有峰,依次为新绿原酸(峰5)、绿原酸(峰7)、丁香醛(峰10)。系统聚类分析和主成分分析的分类结果基本一致;10批样品均可显著降低细胞上清液中NO、TNF-α、IL-6(S5除外)、IL-1β水平(
P
<0.05或
P
<0.01),其对上述炎症指标的抑制率分别为10.26%~39.96%、14.96%~31.36%、1.38
%~21.27%、18.54%~28.00%;新绿原酸、丁香醛及峰1、3、9、12、14对应成分与上山虎抗炎作用的关联性较强。
结论
2
本研究分析了瑶药上山虎的化学成分,并建立了10批广西不同产地上山虎样品的HPLC指纹图谱;各批样品均具有一定的抗炎活性,其中新绿原酸、丁香醛及峰1、3、9、12、14对应成分可能是其抗炎药效成分。
OBJECTIVE
2
To analyze chemical components of Yao ethnic medicine
Pittosporum pauciflorum,
establish its fingerprint and investigate the spectrum-effect relationship of its anti-inflammatory effect.
METHODS
2
UHPLC-Q-Orbitrap-MS technology was used to analyze the chemical components of
P. pauciflorum
(batch S6). The fingerprints for 10 batches of
P. pauciflorum
from different producing areas in Guangxi Province (batches S1-S10)
were established by HPLC, and similarity assessment and chemometric pattern recognition analysis were conducted. RAW264.7 inflammatory cell model was induced by lipopolysaccharide, and the anti-inflammatory activity of
P. pauciflorum
was investigated. Using inhibition rates of nitric oxide (NO), tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and IL-1β as efficacy indicators, grey relational analysis and partial least squares regression analysis were adopted to evaluate the spectrum-effect relationship of the anti-inflammatory effect of
P. pauciflorum.
RESULTS
2
There were 60 chemical components, including flavonoids, phenolic acids, lipids, etc., identified in
P. pauciflorum
. The fingerprints for 10 batches of
P. pauciflorum
showed 14 common peaks,with similarity values ranging from 0.883 to 0.991. Three common peaks were assigned neochlorogenic acid (peak 5), chlorogenic acid (peak 7), and syringaldehyde (peak 10). The classification results of the systematic clustering analysis and the principal component analysis were basically consistent. Batches S1 to S10 of
P. pauciflorum
significa
ntly reduced the levels of NO, TNF-α, IL-6 (except for batch S5) and IL-1β in the cell supernatant (
P
<0.05 or
P
<0.01). Inhibition rates of above inflammatory indexes were 10.26%-39.96%, 14.96%- 31.36%, 1.38%-21.27%, 18.54%-28.00%, respectively. The contents of neochlorogenic acid, syringaldehyde, as well as the components corresponding to peaks 1, 3, 9, 12 and 14, exhibited a strong correlation with the anti-inflammatory effects of
P. pauciflorum.
CONCLUSIONS
2
The present study has analyzed the chemical components of
P. pauciflorum
and established HPLC fingerprints for 10 batches of
P. pauciflorum.
Each batch of medicinal herbs demonstrates certain anti-inflammatory activities, among which neochlorogenic acid, syringaldehyde, and the components corresponding to peaks 1, 3, 9, 12 and 14 are likely to be the active anti-inflammatory components.
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