基于 UHPLC-Q Exactive HF-X 非靶向代谢组学的代谢组特征区分药用真菌与其他真菌。

Characterization of Metabolite Landscape Distinguishes Medicinal Fungus and other by UHPLC-Q Exactive HF-X Untargeted Metabolomics.

机构信息

State Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Animal and Veterinary Sciences, Qinghai University, Xining 810016, China.

State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming 650091, China.

出版信息

Molecules. 2023 Nov 24;28(23):7745. doi: 10.3390/molecules28237745.

Abstract

represent a valuable class of medicinal fungi with potential utilization. The overexploitation and resource scarcity of (CS) have led to the emergence of such as (CM) and (CC) as substitutes. The medicinal value of CS is often considered superior to other , potentially owing to differences in active ingredients. This study aimed to evaluate the differences in the composition and abundance of the primary and secondary metabolites of CS and its substitutes by untargeted metabolomics. A total of 4671 metabolites from 18 superclasses were detected. CS and its substitutes were rich in amino acids, lipids, organic acids, and their derivatives. We statistically analyzed the metabolites and found a total of 285 differential metabolites (3'-Adenylic acid, O-Adipoylcarnitine, L-Dopachrome, etc.) between CS and CC, CS and CM, and CM and CC, which are potential biomarkers. L-glutamate and glycerophospholipids were differential metabolites. A KEGG enrichment analysis indicated that the tyrosine metabolic pathway and tryptophan metabolism pathway are the most differentially expressed pathways among the three . In contrast, CS was enriched in a higher abundance of most lipid metabolites when compared to CM and CC, which may be an indispensable foundation for the pharmacological functions of CS. In conclusion, systematic, untargeted metabolomics analyses for CS and other have delivered a precious resource for insights into metabolite landscapes and predicted potential components of disease therapeutics.

摘要

代表了一类具有潜在利用价值的药用真菌。由于过度开发和资源稀缺, (CS)已经出现了 (CM)和 (CC)等替代品。CS 的药用价值通常被认为优于其他 ,这可能是由于活性成分的差异。本研究旨在通过非靶向代谢组学评估 CS 及其替代品的主要和次要代谢产物的组成和丰度差异。共检测到来自 18 个超类的 4671 种代谢物。CS 和其替代品富含氨基酸、脂类、有机酸及其衍生物。我们对代谢物进行了统计分析,发现 CS 与 CC、CS 与 CM 和 CM 与 CC 之间共有 285 种差异代谢物(3'-腺嘌呤酸、O-脂酰肉碱、L-多巴色素等),这些差异代谢物可能是潜在的生物标志物。L-谷氨酸和甘油磷脂是差异代谢物。KEGG 富集分析表明,酪氨酸代谢途径和色氨酸代谢途径是三种 中差异表达最显著的途径。相比之下,与 CM 和 CC 相比,CS 中大多数脂质代谢物的丰度更高,这可能是 CS 药理功能的不可或缺的基础。总之,对 CS 和其他 进行系统的、非靶向的代谢组学分析,为深入了解代谢物图谱和预测疾病治疗的潜在成分提供了宝贵的资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b30/10708286/b12a69d9f974/molecules-28-07745-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索