Dietary Advanced Glycation End Products Shift the Gut Microbiota Composition and Induce Insulin Resistance in Mice

被引:26
作者
Wang, Jiao [1 ,2 ,3 ]
Cai, Wei [4 ]
Yu, Jiao [1 ]
Liu, Honghong [1 ]
He, Shasha [1 ]
Zhu, Lingyan [1 ,2 ,3 ]
Xu, Jixiong [1 ,2 ,3 ]
机构
[1] Nanchang Univ, Dept Endocrinol & Metab, Affiliated Hosp 1, Nanchang 330006, Jiangxi, Peoples R China
[2] Jiangxi Clin Res Ctr Endocrine & Metab Dis, Nanchang 330006, Jiangxi, Peoples R China
[3] Jiangxi Branch Natl Clin Res Ctr Metab Dis, Nanchang 330006, Jiangxi, Peoples R China
[4] Nanchang Univ, Dept Med Genet & Cell Biol, Med Coll, Nanchang 330006, Jiangxi, Peoples R China
关键词
diet; advanced glycation end products; gut microbiota; insulin resistance; MAILLARD REACTION-PRODUCTS; PROTEIN; GLYCOTOXINS; GENERATION; REDUCTION; NETWORKS; FAILURE; GLUCOSE; ROLES; RISK;
D O I
10.2147/DMSO.S346411
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: This study aimed to explore the associations between gut microbiota characteristics and glycometabolic profiles in mice fed diets high in advanced glycation end products (AGEs). Methods: C57BL/6 mice were exposed to a heat-treated diet or exogenous AGEs for 24 weeks, and glucose metabolism was assessed via the intraperitoneal glucose-tolerance test (IPGTT). Serum AGE and lipopolysaccharide-binding protein (LBP) levels were quantified using ELISA kits. 16S rDNA sequencing was performed to analyze the changes in gut microbiota according to alpha- and 0diversity. Key operational taxonomic units (OTUs) were evaluated, and co-abundance groups (CAGs) were delineated using weighted correlation network analysis. Associations between CAGs and clinical parameters were analyzed using Spearman correlation; predictive functional analysis of gut microbiota was performed using Kyoto Encyclopedia of Genes and Genomes data. Results: We identified significant increases in fasting blood glucose (FBG) and fasting insulin levels, as well as homeostatic model assessment insulin resistance (HOMA-IR) and glucose area under the receiver operating characteristic curve from IPGTT, in the highAGE diet groups relative to controls at week 24. Serum AGE and LBP levels were elevated, and the alpha- and 0-diversity of gut microbiota reduced in high-AGE diet groups. We identified 92 key OTUs that clustered into six CAGs, revealing positive correlations between CAG2/3/5 and insulin levels and mice weight and negative correlations between CAG1/3/4/5 and AGE, FBG, and LBP levels and HOMA-IR in mice fed high-AGE diets. We observed a reduced abundance of butyrate-producing bacteria, including Bacteroidales_S24-7, Ruminococcaceae, and Lachnospiraceae, in mice fed high-AGE diets, with pathway analysis of gut microbiota revealing significantly enriched fructose and mannose metabolism. Conclusion: High-AGE diets altered the gut microbiota composition and structure, and induced insulin resistance in mice. In the pathogenesis of insulin resistance, the loss of butyrate-producing bacteria might impair the colonic epithelial barrier, thereby triggering chronic low-grade inflammation.
引用
收藏
页码:427 / 437
页数:11
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