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代谢途径重建表明诸如L-多巴等重要药用化合物的存在。

Metabolic Pathway Reconstruction Indicates the Presence of Important Medicinal Compounds in Such as L-DOPA.

作者信息

Cherubino Ribeiro Thales Henrique, de Oliveira Raphael Ricon, das Neves Taís Teixeira, Santiago Wilder Douglas, Mansur Bethania Leite, Saczk Adelir Aparecida, Vilela de Resende Mario Lucio, Chalfun-Junior Antonio

机构信息

Laboratory of Plant Molecular Physiology, Plant Physiology Sector, Department of Biology, Federal University of Lavras (UFLA), Lavras 37200-000, Brazil.

Plant Physiology Sector, Department of Biology, Federal University of Lavras (UFLA), Lavras 37200-000, Brazil.

出版信息

Int J Mol Sci. 2023 Aug 5;24(15):12466. doi: 10.3390/ijms241512466.

Abstract

The use of transcriptomic data to make inferences about plant metabolomes is a useful tool to help the discovery of important compounds in the available biodiversity. To unveil previously undiscovered metabolites of , of phytotherapeutic and economic value, we employed 24 RNAseq libraries. These libraries were sequenced from leaves exposed to a diverse range of environmental conditions. Subsequently, the data were meticulously processed to create models of putative metabolic networks, which shed light on the production of potential natural compounds of significant interest. Then, we selected one of the predicted compounds, the L-3,4-dihydroxyphenylalanine (L-DOPA), to be analyzed by LC-MS/MS using three biological replicates of flowers, leaves, and fruits from and We were able to identify metabolic pathways responsible for producing several compounds of economic importance. One of the identified pathways involved in isoquinoline alkaloid biosynthesis was found to be active and producing L-DOPA, which is a common product of POLYPHENOL OXIDASES (PPOs, EC 1.14.18.1 and EC 1.10.3.1). We show that coffee plants are a natural source of L-DOPA, a widely used medicine for treatment of the human neurodegenerative condition called Parkinson's disease. In addition, dozens of other compounds with medicinal significance were predicted as potential natural coffee products. By further refining analytical chemistry techniques, it will be possible to enhance the characterization of coffee metabolites, enabling a deeper understanding of their properties and potential applications in medicine.

摘要

利用转录组数据推断植物代谢组是一种有用的工具,有助于在现有的生物多样性中发现重要化合物。为了揭示具有植物治疗和经济价值的先前未发现的代谢物,我们使用了24个RNAseq文库。这些文库是从暴露于各种环境条件下的叶子中测序得到的。随后,对数据进行了精心处理,以创建假定代谢网络的模型,这为具有重大意义的潜在天然化合物的产生提供了线索。然后,我们选择了一种预测化合物,即L-3,4-二羟基苯丙氨酸(L-DOPA),使用来自[具体植物名称1]和[具体植物名称2]的花、叶和果实的三个生物学重复样本,通过LC-MS/MS进行分析。我们能够确定负责产生几种具有经济重要性的化合物的代谢途径。发现参与异喹啉生物碱生物合成的一条已确定途径是活跃的,并产生L-DOPA,L-DOPA是多酚氧化酶(PPO,EC 1.14.18.1和EC 1.10.3.1)的常见产物。我们表明咖啡植物是L-DOPA的天然来源,L-DOPA是一种广泛用于治疗人类神经退行性疾病帕金森病的药物。此外,还有数十种具有药用意义的其他化合物被预测为潜在的天然咖啡产物。通过进一步完善分析化学技术,将有可能加强对咖啡代谢物的表征,从而更深入地了解它们的特性及其在医学中的潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03b0/10419165/d5df808a4b16/ijms-24-12466-g001.jpg

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