Zandonadi Flávia S, Silva Alex Ap Rosini, Melo Aline A S, Ignarro Raffaela S, Matos Taynara S, Santos Emerson A F, Barbosa Luidy D, Oliveira Alexandre L R, Porcari Andréia M, Sussulini Alessandra
Laboratory of Bioanalytics and Integrated Omics (LaBIOmics), Institute of Chemistry, University of Campinas (UNICAMP), Campinas, SP, 13083-970, Brazil.
MS4Life Laboratory of Mass Spectrometry, Health Sciences Postgraduate Program, São Francisco University (USF), Bragança Paulista, SP, 12916-900, Brazil.
Anal Bioanal Chem. 2023 Jul;415(18):4367-4384. doi: 10.1007/s00216-023-04556-3. Epub 2023 Jan 30.
Emerging insights from metabolomic-based studies of major depression disorder (MDD) are mainly related to biochemical processes such as energy or oxidative stress, in addition to neurotransmission linked to specific metabolite intermediates. Hub metabolites represent nodes in the biochemical network playing a critical role in integrating the information flow in cells between metabolism and signaling pathways. Limited technical-scientific studies have been conducted to understand the effects of ayahuasca (Aya) administration in the metabolism considering MDD molecular context. Therefore, this work aims to investigate an in vitro primary astrocyte model by untargeted metabolomics of two cellular subfractions: secretome and intracellular content after pre-defined Aya treatments, based on DMT concentration. Mass spectrometry (MS)-based metabolomics data revealed significant hub metabolites, which were used to predict biochemical pathway alterations. Branched-chain amino acid (BCAA) metabolism, and vitamin B6 and B3 metabolism were associated to Aya treatment, as "housekeeping" pathways. Dopamine synthesis was overrepresented in the network results when considering the lowest tested DMT concentration (1 µmol L). Building reaction networks containing significant and differential metabolites, such as nicotinamide, L-DOPA, and L-leucine, is a useful approach to guide on dose decision and pathway selection in further analytical and molecular studies.
基于代谢组学的重度抑郁症(MDD)研究的新见解主要与能量或氧化应激等生化过程有关,此外还与特定代谢物中间体相关的神经传递有关。枢纽代谢物代表生化网络中的节点,在整合细胞内代谢和信号通路之间的信息流方面起着关键作用。考虑到MDD分子背景,关于死藤水(Aya)给药对代谢影响的技术科学研究有限。因此,这项工作旨在通过对两个细胞亚组分(基于DMT浓度进行预定义的Aya处理后的分泌组和细胞内成分)进行非靶向代谢组学研究,来研究体外原代星形胶质细胞模型。基于质谱(MS)的代谢组学数据揭示了重要的枢纽代谢物,这些代谢物被用于预测生化途径的改变。支链氨基酸(BCAA)代谢以及维生素B6和B3代谢与Aya处理相关,作为“管家”途径。在考虑最低测试DMT浓度(1 µmol/L)时,多巴胺合成在网络结果中占比过高。构建包含烟酰胺、L-多巴和L-亮氨酸等显著且有差异的代谢物的反应网络,是指导进一步分析和分子研究中剂量决策和途径选择的有用方法。