Integrated serum and fecal metabolomics identifies compartment-specific metabolic remodeling in mice fed high-fat and Western diets.

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS
Yu Ra Lee, Hye-Bin Lee, Hee-Jin Kim, Jae-Ho Park, Ho-Young Park
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引用次数: 0

Abstract

Obesogenic diets induce systemic and gut luminal metabolic perturbations, but whether these alterations occur in parallel across biospecimens remains unclear. In particular, the extent to which high-fat diet (HFD) and Western diet (WD) produce shared or compartment-specific metabolic responses in circulation and feces has not been systematically compared. In this study, targeted LC-MS/MS-based metabolite profiling was performed using serum and fecal samples from mice fed a normal diet (ND), HFD, or WD. Serum samples were analyzed at the individual-animal level, whereas fecal samples were analyzed as cage-level pooled specimens and interpreted as exploratory. Group differences were assessed using non-parametric statistics with Benjamini-Hochberg false discovery rate correction, followed by cross-compartment comparison of HFD-versus-ND and WD-versus-ND directional changes among metabolites detected in both matrices. In serum, obesogenic diets were associated with significant alterations in branched-chain amino acid-related metabolites, phenylalanine, serotonin, butyrylcarnitine, and taurocholic acid. In exploratory fecal metabolomics, significant diet-associated differences were observed mainly in amino acid-related metabolites, cholic acid, and 3-indolepropionic acid. Cross-compartment comparison of HFD-versus-ND and WD-versus-ND responses showed that several amino acid-related metabolites, including valine, leucine, and phenylalanine, were decreased in serum but increased in feces. WD also showed fecal bile acid- and indole-related changes in the exploratory fecal dataset under the present conditions. These findings suggest that HFD and WD are associated with distinct and compartment-specific metabolic remodeling across circulating and luminal compartments and support the value of multi-compartment metabolomics in studies of diet-associated metabolic dysfunction.

综合血清和粪便代谢组学鉴定了喂食高脂肪和西方饮食的小鼠的室特异性代谢重塑。
致肥性饮食引起全身和肠道代谢紊乱,但这些改变是否在生物标本中平行发生尚不清楚。特别是,高脂肪饮食(HFD)和西方饮食(WD)在循环和粪便中产生共同或特定的代谢反应的程度尚未得到系统的比较。在这项研究中,使用正常饮食(ND)、HFD或WD喂养的小鼠的血清和粪便样本进行了靶向LC-MS/MS-based代谢物分析。血清样本在动物个体水平上进行分析,而粪便样本则作为笼级汇总标本进行分析,并被解释为探索性的。使用benjamin - hochberg错误发现率校正的非参数统计来评估组间差异,然后跨室比较两种基质中检测到的代谢物中hfd与nd和wd与nd的方向变化。在血清中,致肥饮食与支链氨基酸相关代谢物、苯丙氨酸、血清素、丁基肉碱和牛磺胆酸的显著改变有关。在探索性粪便代谢组学中,主要观察到氨基酸相关代谢物、胆酸和3-吲哚丙酸与饮食相关的显著差异。hfd - nd和wd - nd反应的跨室比较显示,血清中几种氨基酸相关代谢物,包括缬氨酸、亮氨酸和苯丙氨酸,减少,但在粪便中增加。在当前条件下,WD还显示了探索性粪便数据集中的粪便胆汁酸和吲哚相关变化。这些发现表明,HFD和WD与循环和腔室中不同的和室特异性的代谢重塑有关,并支持多室代谢组学在饮食相关代谢功能障碍研究中的价值。
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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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