Gut microbiota-based translational biomarkers to prevent metabolic syndrome via nutritional modulation

被引:47
作者
Xiao, Shuiming [1 ]
Zhao, Liping [1 ,2 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, State Key Lab Microbial Metab, Shanghai 200240, Peoples R China
[2] Shanghai Ctr Syst Biomed, Minist Educ, Key Lab Syst Biomed, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
biomarkers; gut microbiota; insulin resistance; metabolic syndrome; trajectory analysis; C-REACTIVE PROTEIN; HIGH-FAT-DIET; HOMEOSTASIS MODEL ASSESSMENT; BODY-MASS INDEX; INSULIN-RESISTANCE; WEIGHT-LOSS; AKKERMANSIA-MUCINIPHILA; BINDING-PROTEIN; INTESTINAL MICROBIOTA; CARDIOVASCULAR RISK;
D O I
10.1111/1574-6941.12250
中图分类号
Q93 [微生物学];
学科分类号
071005 [微生物学];
摘要
In the face of the global epidemic of metabolic syndrome (MetS) and its strong association with the increasing rate of cardiovascular morbidity and mortality, it is critical to detect MetS at an early stage in the clinical setting to implement preventive intervention long before the complications arise. Lipopolysaccharide, the cell wall component of Gram-negative bacteria produced from diet-disrupted gut microbiota, has been shown to induce metabolic endotoxemia, chronic low-grade inflammation, and ultimately insulin resistance. Therefore, ameliorating the inflammation and insulin resistance underlying MetS by gut microbiota-targeted, dietary intervention has gained increasing attention. In this review, we propose using dynamic monitoring of a set of translational biomarkers related with the etiological role of gut microbiota, including lipopolysaccharide binding protein (LBP), C-reactive protein (CRP), fasting insulin, and homeostasis model assessment of insulin resistance (HOMA-IR), for early detection and prevention of MetS via nutritional modulation. LBP initiates the recognition and monomerization of lipopolysaccharide and amplifies host immune responses, linking the gut-derived antigen load and inflammation indicated by the plasma levels of CRP. Fasting plasma insulin and HOMA-IR are measured to evaluate insulin sensitivity that is damaged by pro-inflammatory cytokines. The dynamic monitoring of these biomarkers in high-risk populations may provide translational methods for the quantitative and dynamic evaluation of dysbiosis-induced insulin resistance and the effectiveness of dietary treatment for MetS.
引用
收藏
页码:303 / 314
页数:12
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