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整合代谢组学、网络药理学和药理验证分析为川贝母鳞茎的抗炎和镇咳特性提供了新的见解。

Integrating metabolomics, network pharmacology and pharmacological verification analysis provides new insights into the anti-inflammatory and anti-tussive properties of Fritillaria cirrhosa bulbs.

作者信息

Zhao Can, Zhang Jianyun, Zhao Zhihuang, Li Xueyan, Chen Xin, Wang Hai, Ma Yuntong, Han Guiqi, Yan Zhuyun

机构信息

State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China; School of Pharmacy/School of Modern Chinese Medicine Industry, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China.

Resource Institute for Chinese and Ethnic Materia Medica, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.

出版信息

J Ethnopharmacol. 2025 Mar 13;343:119460. doi: 10.1016/j.jep.2025.119460. Epub 2025 Feb 12.

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE

Fritillaria cirrhosa bulbs, referred to as Chuanbeimu in traditional Chinese medicine (TCM), are extensively used for recognized anti-inflammatory and anti-tussive effects. Both Songbei (SB) and Qingbei (QB), which are from this plant, have been used separately in medicine. However, the differences and similarities in their bioactive components and anti-inflammatory effects remain unclear.

OBJECTIVE

We aimed to analyse the metabolic profiles of F. cirrhosa bulbs across different growth years and explore the anti-inflammatory and anti-tussive properties of two distinct medicinal materials.

METHODS

With nontargeted metabolic technology, the main components of bulbs were detected. Principal component analysis (PCA) and pathway enrichment analysis were carried out to determine the differentially expressed metabolites between growth years. Network pharmacology was subsequently used to analyse the relationships among the components, diseases, key targets, and metabolic pathways by constructing a network model. The effects of drug-containing serum on cellular inflammatory factors were analysed through in vitro assays.

RESULTS

A total of 1349 compounds were identified from the different bulb samples. PCA revealed metabolic differences between SB bulbs (1- and 2-year-old) and QB bulbs (3-, 4-, and 5-year-old). Notably, 4-methoxycinnamaldehyde, tenuifoliside A, LysoPC 20:4, and morpholine-4-carboximidamide hydrobromide were identified as potential components for distinguishing SB and QB. Network pharmacology revealed more common targets related to anti-inflammatory (PPARG, PPARA, PTGS1, and XDH) and anti-tussive (PPARG, PTGS1, PPARA, OPRM1, DRD2, SLC6A4, and HTR2A) effects in SB than in QB. KEGG analysis revealed that inflammation and cough, including tryptophan metabolism and arachidonic acid metabolism, were enriched in the SB group. Cellular assays revealed anti-inflammatory effects, with SB having greater effects on IL-6 and QB on TNF-α and IL-1β having overall anti-inflammatory effects.

CONCLUSION

By integrating metabolomic and network analyses, the traditional classification of F. cirrhosa into SB and QB based on bulb characteristics and the observed differences are justified to a certain extent. This study provides new insights, guiding the clinical use of these treatments for inflammation and cough.

摘要

民族药理学相关性

川贝母在传统中药中被称为川贝母,因其公认的抗炎和镇咳作用而被广泛应用。该植物来源的松贝(SB)和青贝(QB)在医学上一直单独使用。然而,它们的生物活性成分和抗炎作用的异同仍不清楚。

目的

我们旨在分析不同生长年份的川贝母鳞茎的代谢谱,并探索两种不同药材的抗炎和镇咳特性。

方法

采用非靶向代谢技术检测鳞茎的主要成分。进行主成分分析(PCA)和通路富集分析,以确定不同生长年份之间差异表达的代谢物。随后使用网络药理学通过构建网络模型来分析成分、疾病、关键靶点和代谢途径之间的关系。通过体外试验分析含药血清对细胞炎症因子的影响。

结果

从不同的鳞茎样品中总共鉴定出1349种化合物。PCA揭示了SB鳞茎(1年生和2年生)和QB鳞茎(3年生、4年生和5年生)之间的代谢差异。值得注意的是,4-甲氧基肉桂醛、条叶百合苷A、溶血磷脂酰胆碱20:4和氢溴酸吗啉-4-甲脒被确定为区分SB和QB的潜在成分。网络药理学显示,与QB相比,SB中与抗炎(PPARG、PPARA、PTGS1和XDH)和镇咳(PPARG、PTGS1、PPARA、OPRM1、DRD2、SLC6A4和HTR2A)作用相关的共同靶点更多。KEGG分析显示,SB组中炎症和咳嗽相关通路,包括色氨酸代谢和花生四烯酸代谢,显著富集。细胞试验显示出抗炎作用,SB对IL-6的作用更强,QB对TNF-α和IL-1β具有总体抗炎作用。

结论

通过整合代谢组学和网络分析,基于鳞茎特征将川贝母传统分类为SB和QB以及观察到的差异在一定程度上是合理的。本研究提供了新的见解,指导这些治疗炎症和咳嗽的药物的临床应用。

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