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Associations of the Fecal Microbial Proteome Composition and Proneness to Diet-induced Obesity

机译:粪便微生物蛋白质组成的关联和脂肪诱导肥胖症的递递

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Consumption of refined high-fat, low-fiber diets promotes development of obesity and its associated consequences. Although genetics play an important role in dictating susceptibility to such obesogenic diets, mice with nearly uniform genetics exhibit marked heterogeneity in their extent of obesity in response to such diets. This suggests non-genetic determinants play a role in diet-induced obesity. Hence, we sought to identify parameters that predict, and/or correlate with, development of obesity in response to an obesogenic diet. We assayed behavior, metabolic parameters, inflammatory markers/cytokines, microbiota composition, and the fecal metaproteome, in a cohort of mice (n = 50) prior to, and the 8 weeks following, administration of an obesogenic high-fat low-fiber diet. Neither behavioral testing nor quantitation of inflammatory markers broadly predicted severity of diet-induced obesity. Although, the small subset of mice that exhibited basal elevations in serum IL-6 (n = 5) were among the more obese mice in the cohort. While fecal microbiota composition changed markedly in response to the obesogenic diet, it lacked the ability to predict which mice were relative prone or resistant to obesity. In contrast, fecal metaproteome analysis revealed functional and taxonomic differences among the proteins associated with proneness to obesity. Targeted interrogation of microbiota composition data successfully validated the taxonomic differences seen in the metaproteome. Although future work will be needed to determine the breadth of applicability of these associations to other cohorts of animals and humans, this study nonetheless highlights the potential power of gut microbial proteins to predict and perhaps impact development of obesity.
机译:精致高脂,低纤维饮食的消耗促进肥胖的发展及其相关后果。尽管遗传学在对这种肥胖饮食的易感性描述易感性方面发挥着重要作用,但具有近似均匀的遗传学的小鼠在肥胖的程度上表现出显着的异质性,以响应这些饮食。这表明非遗传决定簇在饮食诱导的肥胖症中发挥作用。因此,我们寻求识别预测和/或与肥胖的发展的参数,以响应萎缩的饮食。我们在小鼠队列(n = 50)的举行之前,在核发生源高脂肪低纤维饮食中,我们在小鼠(n = 50)队(n = 50)队(n = 50)中测定行为,代谢参数,炎症标志物/细胞因子,微生物群组合物和粪便标志物组合物。行为测试既不是炎症标志物的定量概括预测饮食诱导的肥胖症的严重程度。尽管,在血清IL-6(n = 5)中表现出基础升高的小鼠的小小鼠是群组中的肥胖小鼠。虽然粪便微生物群组成显着变化,响应于溶血性饮食而变化,但缺乏预测哪种小鼠相对易受或抗肥胖的能力。相比之下,粪便元素分析显示了与肥胖症的倾向相关的蛋白质之间的功能和分类差异。微生物消毒组成数据的有针对性的询问成功验证了在元标题中的分类学差异。尽管未来的工作需要确定这些关联的适用性与动物和人类的其他群组,但仍然突出了肠道微生物蛋白预测和影响肥胖症的影响的潜在力量。

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