Obesity influences composition of salivary and fecal microbiota and impacts the interactions between bacterial taxa.

Obesity influences composition of salivary and fecal microbiota and impacts the interactions between bacterial taxa.
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DOI:
10.14814/phy2.15254
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发表时间:
2022-04
影响因子:
2.5
通讯作者:
Ferguson JF
Ferguson JF
中科院分区:
其他
文献类型:
--
作者:
Bombin A;Yan S;Bombin S;Mosley JD;Ferguson JF

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肥胖是一个日益引起全球关注的健康问题,并与多种疾病有关。肠道微生物群越来越被认为是肥胖和心脏代谢健康的重要因素。本研究旨在描述口腔和肠道微生物群落的特征,并评估临床肥胖分类之间宿主:微生物群的相互作用。我们对135名健康个体的粪便和唾液样本进行了16S rRNA测序,对血浆和粪便样本进行了全球代谢组学分析,并对饮食进行了分析。我们根据体重指数(BMI)将个体按肥胖状况分组,包括瘦(BMI 18-124.9)、超重(BMI 25-29.9)或肥胖(BMI≥30)。我们分析了微生物组组成、群落相互关系的差异,并通过肥胖状态预测了微生物功能。我们发现,瘦和肥胖个体的唾液细菌群落在组成和系统发育上是不同的。肥胖状况的增加与细菌分类群之间的强相关性呈正相关,特别是与代谢紊乱有关的细菌群,包括Fretibacterium和Tannerella。食用甜味剂,尤其是木糖醇,会显著影响唾液和粪便细菌群落的组成和系统发育多样性。此外,肥胖组在预测细菌代谢活性方面表现出差异,这与宿主代谢物浓度相关。总体而言,肥胖与细菌群落动态的明显变化有关,尤其是唾液。考虑微生物群落结构和唾液样本的包含可能提高我们理解微生物群与肥胖和心脏代谢疾病联系途径的能力。肥胖是一种世界性的流行病,与广泛的健康问题和微生物群组成的变化有关。我们的研究评估了健康个体中肥胖、唾液和粪便微生物群以及代谢物浓度之间的相互作用。我们的研究结果表明,口腔微生物群可能比粪便微生物群更能反映宿主的肥胖状态,微生物类群之间的相关性在肥胖期间发生改变,微生物群的代谢活动影响宿主的代谢物浓度。
Obesity is an increasing global health concern and is associated with a broad range of morbidities. The gut microbiota are increasingly recognized as important contributors to obesity and cardiometabolic health. This study aimed to characterize oral and gut microbial communities, and evaluate host: microbiota interactions between clinical obesity classifications. We performed 16S rRNA sequencing on fecal and salivary samples, global metabolomics profiling on plasma and stool samples, and dietary profiling in 135 healthy individuals. We grouped individuals by obesity status, based on body mass index (BMI), including lean (BMI 18–124.9), overweight (BMI 25–29.9), or obese (BMI ≥30). We analyzed differences in microbiome composition, community inter‐relationships, and predicted microbial function by obesity status. We found that salivary bacterial communities of lean and obese individuals were compositionally and phylogenetically distinct. An increase in obesity status was positively associated with strong correlations between bacterial taxa, particularly with bacterial groups implicated in metabolic disorders including Fretibacterium, and Tannerella. Consumption of sweeteners, especially xylitol, significantly influenced compositional and phylogenetic diversities of salivary and fecal bacterial communities. In addition, obesity groups exhibited differences in predicted bacterial metabolic activity, which was correlated with host’s metabolite concentrations. Overall, obesity was associated with distinct changes in bacterial community dynamics, particularly in saliva. Consideration of microbiome community structure and inclusion of salivary samples may improve our ability to understand pathways linking microbiota to obesity and cardiometabolic disease. Obesity is a worldwide epidemic that is associated with a wide range of health issues and changes in microbiota composition. Our study evaluated the interactions between obesity, salivary, and fecal microbiota, and metabolite concentrations in healthy individuals. Our results suggest that oral microbiota might better reflect the obesity status of the host than fecal microbiota, that correlations between microbial taxa are altered during obesity and that metabolic activity of microbiota influences the host’s metabolites concentrations.
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