食品科学 ›› 2026, Vol. 47 ›› Issue (12): 103-117.doi: 10.7506/spkx1002-6630-20251130-245

• 生物工程 • 上一篇    

基于宏基因组学与非靶向代谢组学解析菊粉对健康人肠道微生态的调节作用

李献婷,冯滢璇,肖洋茜,赵建新,陈卫,肖越,陆文伟   

  1. (1.江南大学食品学院,江苏 无锡 214122;2.江南大学国家功能食品工程技术研究中心,江苏 无锡 214122)
  • 发布日期:2026-07-08
  • 基金资助:
    国家自然科学基金面上项目(32572583)

Integrated Metagenomic and Untargeted Metabolomic Analyses Reveal the Regulatory Effects of Inulin on the Healthy Human Gut Microbiome

LI Xianting, FENG Yingxuan, XIAO Yangqian, ZHAO Jianxin, CHEN Wei, XIAO Yue, LU Wenwei   

  1. (1. School of Food Science and Technology, Jiangnan University, Wuxi 214122, China;2. National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China)
  • Published:2026-07-08

摘要: 本研究以健康人粪便菌群为接种源,构建以菊粉为唯一碳源的体外粪菌发酵体系,并结合宏基因组测序与非靶向代谢组学,从菌群组成、微生物互作网络及代谢响应等多个层面系统评估菊粉(inulin,INU)对健康人肠道微生态的调节作用。结果表明,INU发酵24 h后体系pH值显著下降,菌群结构在多个分类层级发生明显变化。β多样性分析显示,INU组与对照组在Bray-Curtis距离空间中显著分离,α多样性表现为Richness指数显著降低但Pielou均匀度指数变化不显著。关键响应物种分析表明,INU干预后假小链双歧杆菌(Bifidobacterium pseudocatenulatum)、唾液乳杆菌(Ligilactobacillus salivarius)、罗伊氏粘液乳杆菌(Limosilactobacillus reuteri)和单形拟杆菌(Bacteroides uniformis)等物种丰度上升,而柯普雷沃氏菌(Prevotella copri)和普氏栖粪杆菌(Faecalibacterium prausnitzii)等物种丰度下降。菌-菌共现网络分析表明,INU干预后菌群互作网络呈现3 个主要功能簇,不同簇之间表现出差异化关联模式。非靶向代谢组学结果显示,INU显著改变菌群代谢谱,共检测到169 种上调代谢物和120 种下调代谢物,其中色氨酸代谢为最显著富集通路。进一步的功能通路-代谢物及功能基因-代谢物关联分析显示,碳水化合物代谢相关通路与多种有机酸及氨基酸代谢物呈显著相关,而色氨酸代谢相关功能基因则与多种吲哚类代谢物呈显著相关。综上,INU可通过改变菌群组成、重塑微生物互作网络并调节关键代谢通路,共同影响健康人肠道菌群的代谢谱。本研究从多组学整合层面揭示了INU对健康肠道微生态的调节特征,可为阐明其微生态作用机制及其在精准营养中的潜在应用提供实验依据。

关键词: 菊粉;体外粪菌发酵;物种水平;肠道菌群;微生物互作网络

Abstract: In this study, the healthy human fecal microbiota was used as the inoculum to establish an in vitro fecal fermentation system with inulin (INU) as the sole carbon source. Metagenomic sequencing and untargeted metabolomics were integrated to systematically evaluate the regulatory effects of inulin INU on the gut microbial ecosystem of healthy individuals from multiple perspectives, including microbial composition, microbial interaction networks, and metabolic responses. The results showed that the pH of the fermentation system with INU significantly decreased after 24 h, accompanied by pronounced alterations in microbial community structure across multiple taxonomic levels. β-Diversity analysis revealed a clear separation between the INU and control groups in the Bray-Curtis distance space, whereas α-diversity analysis indicated a reduction in richness index with no significant change in Pielou’s evenness index. Analysis of key responsive species showed that the abundances of Bifidobacterium pseudocatenulatum, Ligilactobacillus salivarius, Limosilactobacillus reuteri, and Bacteroides uniformis increased following INU intervention, whereas those of Prevotella copri and Faecalibacterium prausnitzii decreased. Microbe-microbe co-occurrence network analysis further indicated that the microbial interaction network formed three major functional clusters after INU intervention, with distinct association patterns among clusters. Untargeted metabolomics revealed that INU markedly reshaped the metabolic profile of the microbial community, with 169 metabolites significantly upregulated and 120 metabolites significantly downregulated. Among these, tryptophan metabolism was the most significantly enriched pathway. The results of correlation analyses between functional pathways and metabolites, as well as between functional genes and metabolites, demonstrated that carbohydrate metabolism-related pathways were significantly correlated with multiple organic acids and amino acid metabolites, while tryptophan metabolism-related genes were significantly correlated with various indole metabolites. Collectively, inulin may influence the metabolic profile of the gut microbiota in healthy individuals by altering microbial composition, restructuring microbial interaction networks, and modulating key metabolic pathways. This study reveals the regulatory characteristics of inulin on the healthy gut microbial ecosystem from a multi-omics perspective, providing experimental evidence for elucidating its microbiota-mediated mechanisms and for evaluating its potential applications in precision nutrition.

Key words: inulin; in vitro fecal fermentation; species level; gut microbiota; microbial interaction networks

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