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基于人群水平分析的[具体内容]区域分布及其与代谢综合征的关联。 (注:原文中“of”后面缺少具体内容)

Regional distribution of and its associations with metabolic syndrome based on a population-level analysis.

作者信息

Li Xiang, Li Zewen, He Yan, Li Pan, Zhou Hongwei, Zeng Nianyi

机构信息

Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong province, China.

出版信息

PeerJ. 2020 Aug 4;8:e9591. doi: 10.7717/peerj.9591. eCollection 2020.

Abstract

The link between the gut microbiota and metabolic syndrome (MetS) has attracted widespread attention. was recently described as an important player in human health, while its distribution and relationship with MetS in Chinese population is still unknown. This study sought to observe the association between and metabolic indexes in a large sample of residents in South China. A total of 4,781 people from the GGMP project were included, and the fecal microbiota composition of these individuals was characterized by 16S rRNA sequencing and analyzed the relation between and metabolism using QIIME (Quantitative Insight Into Microbial Ecology, Version 1.9.1). The results demonstrated that microbial richness and diversity were increased in the group with a high abundance of , who showed a greater complexity of the co-occurrence network with other bacteria than residents who lacked . The enriched bacterial taxa were predominantly represented by , , , and as the abundance increased, while the abundances of , and were significantly reduced. Furthermore, was negatively correlated with the pathological features of MetS, such as obesity, hypertriglyceridemia and body mass index (BMI). We found reduced levels of lipid biosynthesis and energy metabolism pathways in people with a high abundance of , which may explain the negative relationship between body weight and . In conclusion, we found a negative correlation between and MetS in a large Chinese population and reported the geographical distribution of in the GGMP study. The association data from this population-level research support the investigation of strains within as potentially beneficial gut microbes.

摘要

肠道微生物群与代谢综合征(MetS)之间的联系已引起广泛关注。最近它被描述为人类健康中的一个重要因素,而其在中国人群中的分布以及与MetS的关系仍不清楚。本研究旨在观察中国南方大量居民样本中[具体微生物名称未给出]与代谢指标之间的关联。总共纳入了来自GGMP项目的4781人,通过16S rRNA测序对这些个体的粪便微生物群组成进行了表征,并使用QIIME(微生物生态学定量洞察,版本1.9.1)分析了[具体微生物名称未给出]与代谢之间的关系。结果表明,在[具体微生物名称未给出]丰度高的组中,微生物丰富度和多样性增加,与缺乏[具体微生物名称未给出]的居民相比,该组与其他细菌的共现网络更复杂。随着[具体微生物名称未给出]丰度增加,富集的细菌类群主要由[具体细菌名称未给出]、[具体细菌名称未给出]、[具体细菌名称未给出]、[具体细菌名称未给出]和[具体细菌名称未给出]代表,而[具体细菌名称未给出]、[具体细菌名称未给出]和[具体细菌名称未给出]的丰度显著降低。此外,[具体微生物名称未给出]与MetS的病理特征如肥胖、高甘油三酯血症和体重指数(BMI)呈负相关。我们发现[具体微生物名称未给出]丰度高的人群中脂质生物合成和能量代谢途径水平降低,这可能解释了体重与[具体微生物名称未给出]之间的负相关关系。总之,我们在中国大量人群中发现了[具体微生物名称未给出]与MetS之间的负相关,并在GGMP研究中报告了[具体微生物名称未给出]的地理分布。来自该人群水平研究的关联数据支持对[具体微生物名称未给出]内菌株作为潜在有益肠道微生物的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b11d/7413085/48eb1928c4db/peerj-08-9591-g001.jpg

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