Towards an Integrative Understanding of Diet-Host-Gut Microbiome Interactions

被引:42
|
作者
Read, Mark N. [1 ]
Holmes, Andrew J. [1 ]
机构
[1] Univ Sydney, Sch Environm & Life Sci, Charles Perkins Ctr, Sydney, NSW, Australia
来源
FRONTIERS IN IMMUNOLOGY | 2017年 / 8卷
基金
英国医学研究理事会;
关键词
gut microbiome; digestion; diet; metabolite; modeling; host feedback; CONJUGATED LINOLEIC-ACID; CHAIN FATTY-ACIDS; INTESTINAL MICROBIOTA; HEALTH; FERMENTATION; METABOLITES; NUTRITION; BACTERIA; OBESITY; MICE;
D O I
10.3389/fimmu.2017.00538
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Over the last 20 years, a sizeable body of research has linked the microbiome and host diet to a remarkable diversity of diseases. Yet, unifying principles of microbiome assembly or function, at levels required to rationally manipulate a specific individual's microbiome to their benefit, have not emerged. A key driver of both community composition and activity is the host diet, but diet-microbiome interactions cannot be characterized without consideration of host-diet interactions such as appetite and digestion. This becomes even more complex if health outcomes are to be explored, as microbes engage in multiple interactions and feedback pathways with the host. Here, we review these interactions and set forth the need to build conceptual models of the dietmicrobiome- host axes that draw out the key principles governing this system's dynamics. We highlight how "units of response," characterizations of similarly behaving microbes, do not correlate consistently with microbial sequence relatedness, raising a challenge for relating high-throughput data sets to conceptual models. Furthermore, they are question-specific; responses to resource environment may be captured at higher taxonomic levels, but capturing microbial products that depend on networks of different interacting populations, such as short-chain fatty acid production through anaerobic fermentation, can require consideration of the entire community. We posit that integrative approaches to teasing apart diet-microbe-host interactions will help bridge between experimental data sets and conceptual models and will be of value in formulating predictive models.
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页数:9
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