Yasuda Shu, Okahashi Nobuyuki, Tsugawa Hiroshi, Ogata Yusuke, Ikeda Kazutaka, Suda Wataru, Arai Hiroyuki, Hattori Masahira, Arita Makoto
RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Department of Health Chemistry, Graduate School of Pharmaceutical Sciences, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
iScience. 2020 Nov 23;23(12):101841. doi: 10.1016/j.isci.2020.101841. eCollection 2020 Dec 18.
Host-microbiota interactions create a unique metabolic milieu that modulates intestinal environments. Integration of 16S ribosomal RNA (rRNA) sequences and mass spectrometry (MS)-based lipidomics has a great potential to reveal the relationship between bacterial composition and the complex metabolic network in the gut. In this study, we conducted untargeted lipidomics followed by a feature-based molecular MS/MS spectral networking to characterize gut bacteria-dependent lipid subclasses in mice. An estimated 24.8% of lipid molecules in feces were microbiota-dependent, as judged by > 10-fold decrease in antibiotic-treated mice. Among these, there was a series of unique and microbiota-related lipid structures, including acyl alpha-hydroxyl fatty acid (AAHFA) that was newly identified in this study Based on the integrated analysis of 985 lipid profiles and 16S rRNA sequence data providing 2,494 operational taxonomic units, we could successfully predict the bacterial species responsible for the biosynthesis of these unique lipids, including AAHFA.
宿主-微生物群相互作用创造了一个独特的代谢环境，调节肠道环境。整合16S核糖体RNA（rRNA）序列和基于质谱（MS）的脂质组学在揭示细菌组成与肠道复杂代谢网络之间的关系方面具有巨大潜力。在本研究中，我们进行了非靶向脂质组学分析，随后进行基于特征的分子MS/MS光谱网络分析，以表征小鼠肠道中细菌依赖性脂质亚类。通过抗生素处理小鼠粪便中脂质分子减少10倍以上判断，估计粪便中24.8%的脂质分子依赖微生物群。其中，有一系列独特的、与微生物群相关的脂质结构，包括本研究中新鉴定的酰基α-羟基脂肪酸（AAHFA）。基于对985个脂质谱和16S rRNA序列数据（提供2494个可操作分类单元）的综合分析，我们能够成功预测负责这些独特脂质（包括AAHFA）生物合成的细菌种类。
