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Supporting data for "Multi-omics Insight into Gut-Hypertension Links"

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NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/Supporting_data_for_Multi-omics_Insight_into_Gut-Hypertension_Links_/31167763
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A multi-omics analysis (metagenomics and metabolomics) of the relationship between the gut microbiota (GM) and hypertension within a cohort of 451 healthy Chinese individuals. The microbial profile, including F/B ratio, alpha-diversity, beta-diversity and differential species associated with hypertension were examined in the cohort with and without antihypertensive treatment. Associations of hypertension with immune markers and short-chain fatty acids were also conducted. Additionally, the functional contributions of the metagenomic data of the untreated cohort was explored on pathway level and gene family levels. Finally, the untargeted plasma metabolomics of the hosts were examined on a single metabolite level and pathway level. Files include clinical metadata, metagenomic, and metabolomics data with R scripts. Clinical metadata describes the general clinical aspects of the cohort which includes, but not limited to, age, sex, BMI, 24 hour mean blood pressure values, biochemical markers, and liver fibrosis. Metagenomic data includes relative abundances files. Metabolomics data include LC-MS peak intensity values, mass to charge ratio, and annotations.

本数据集针对451名中国健康个体队列,开展了肠道菌群(gut microbiota, GM)与高血压关联的多组学分析,涵盖宏基因组学与代谢组学两个研究方向。研究针对接受降压治疗与未接受降压治疗的两个亚队列,分析了其微生物组特征,包括F/B比值(F/B ratio)、α多样性、β多样性以及与高血压相关的差异菌种。此外还开展了高血压与免疫标志物、短链脂肪酸之间的关联分析。本研究进一步在通路水平与基因家族层面,对未接受降压治疗队列的宏基因组数据的功能贡献进行了探究。最后,针对受试者的非靶向血浆代谢组学,开展了单代谢物水平与通路水平的系统性分析。本数据集包含临床元数据、宏基因组学数据、代谢组学数据以及配套R脚本。其中,临床元数据用于描述队列的一般临床特征,涵盖但不限于年龄、性别、体质量指数(body mass index, BMI)、24小时平均血压值、生化标志物以及肝纤维化相关指标。宏基因组学数据包含相对丰度文件。代谢组学数据包含液相色谱-质谱联用(liquid chromatography-mass spectrometry, LC-MS)峰强度值、质荷比以及代谢物注释信息。
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2026-02-12
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