Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, 200032, China.
Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
BMC Microbiol. 2021 Aug 12;21(1):226. doi: 10.1186/s12866-021-02286-z.
BACKGROUND: Gut microbiota (GMB) alteration has been reported to influence the Alzheimer's disease (AD) pathogenesis through immune, endocrine, and metabolic pathways. This study aims to investigate metabolic output of the dysbiosis of GMB in AD pathogenesis. In this study, the fecal microbiota and metabolome from 21 AD participants and 44 cognitively normal control participants were measured. Untargeted GMB taxa was analyzed through 16S ribosomal RNA gene profiling based on next-generation sequencing and fecal metabolites were quantified by using ultrahigh performance liquid chromatography-mass spectrometry (UPLC-MS). RESULTS: Our analysis revealed that AD was characterized by 15 altered gut bacterial genera, of which 46.7% (7/15 general) was significantly associated with a series of metabolite markers. The predicted metabolic profile of altered gut microbial composition included steroid hormone biosynthesis, N-Acyl amino acid metabolism and piperidine metabolism. Moreover, a combination of 2 gut bacterial genera (Faecalibacterium and Pseudomonas) and 4 metabolites (N-Docosahexaenoyl GABA, 19-Oxoandrost-4-ene-3,17-dione, Trigofoenoside F and 22-Angeloylbarringtogenol C) was able to discriminate AD from NC with AUC of 0.955 in these 65 subjects. CONCLUSIONS: These findings demonstrate that gut microbial alterations and related metabolic output changes may be associated with pathogenesis of AD, and suggest that fecal markers might be used as a non-invasive examination to assist screening and diagnosis of AD.
背景:肠道微生物群(GMB)的改变已被报道通过免疫、内分泌和代谢途径影响阿尔茨海默病(AD)的发病机制。本研究旨在探讨 GMB 失调在 AD 发病机制中的代谢产物。在这项研究中,测量了 21 名 AD 参与者和 44 名认知正常对照参与者的粪便微生物群和代谢组。通过基于下一代测序的 16S 核糖体 RNA 基因谱分析了非靶向 GMB 分类群,并通过超高效液相色谱-质谱联用 (UPLC-MS) 定量了粪便代谢物。
结果:我们的分析表明,AD 的特征是 15 种改变的肠道细菌属,其中 46.7%(15 种中的 7 种)与一系列代谢标志物显著相关。改变的肠道微生物组成的预测代谢谱包括甾体激素生物合成、N-酰基氨基酸代谢和哌啶代谢。此外,2 种肠道细菌属(粪杆菌和假单胞菌)和 4 种代谢物(N-二十二碳六烯酰基 GABA、19-氧代雄甾-4-烯-3,17-二酮、三叶豆苷 F 和 22-当归酰巴卡丁 C)的组合能够在这 65 名受试者中以 0.955 的 AUC 区分 AD 和 NC。
结论:这些发现表明,肠道微生物的改变和相关代谢产物的变化可能与 AD 的发病机制有关,并提示粪便标志物可作为一种非侵入性检查,用于辅助 AD 的筛查和诊断。
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