Multi-omics profiling reveals gut microbiota metabolite signatures associated with highfat diet induced obesity-prone and obesity-resistant phenotypes in dogs

Dogs vary widely in their propensity to gain weight when challenged with a high-fat diet (HFD), resulting in obesity-prone (OP) and obesity-resistant (OR) phenotypes; however, the gut microbiota-metabolite mechanisms contributing to this phenotypic divergence remain unclear. Forty-four male Beagle dogs were fed either a control diet (CON, n = 11) or an HFD (n = 33). Within the HFD cohort, dogs were ranked by body weight gain and the upper and lower tertiles were defined as OP (n = 11) and OR (n = 11), serum and fecal samples were collected. The fecal The fecal microbiota was characterized using 16S rRNA gene amplicon sequencing, and untargeted LC-MS metabolomics was used to profile fecal metabolites.

犬在高脂饮食（high-fat diet, HFD）刺激下的体重增加易感性存在显著个体差异，据此可分为肥胖易感（obesity-prone, OP）与肥胖抵抗（obesity-resistant, OR）两种表型；然而，介导这一表型分化的肠道菌群-代谢物调控机制仍未明确。本研究共纳入44只雄性比格犬，分别饲喂对照组日粮（control diet, CON，n=11）与高脂饮食组日粮（HFD，n=33）。在高脂饮食组中，研究人员根据犬只的体重增长量进行排序，取上下三分位分别定义为肥胖易感组（OP，n=11）与肥胖抵抗组（OR，n=11），并采集血清与粪便样本。采用16S rRNA基因扩增子测序技术对粪便菌群进行表征，并通过非靶向液相色谱-质谱（liquid chromatography-mass spectrometry, LC-MS）代谢组学分析粪便代谢物谱。