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微生物组数据的尺寸缩小与Bifidobacterium和Prevotella与过敏性鼻炎有关
Shohei Komaki1, Yukari Sahoyama2, Tsuyoshi Hachiya1
1Genome Analytics Japan Inc., Tokyo, Japan.
Scientific reports
|April 4, 2024
概括
尺寸缩小方法揭示了肠道微生物组合和过敏性鼻炎 (AR) 之间的强烈联系. 从这些方法中获得的复合变量为研究微生物组与疾病的关联提供了比单个微生物丰度更强大的方法.
科学领域:
- 微生物组研究 微生物组研究
- 生物信息学是一种生物信息学.
- 人类健康 人类健康 人类健康
背景情况:
- 多维微生物组数据可视化通常使用维度缩小技术.
- 对于微生物组与疾病相关性研究,从维度缩小中得到的复合变量的实用性尚未得到充分研究.
- 了解人类肠道微生物组与生活方式和疾病的关系至关重要.
研究的目的:
- 使用尺寸缩小方法研究人类肠道微生物组与过敏性鼻炎 (AR) 的关联.
- 为了比较来自不同尺寸缩小技术的复合变量的有效性,以捕捉微生物群与疾病的关系.
- 探索肠道微生物组成,生活方式因素和AR之间的联系.
主要方法:
- 应用主要组件分析,主要坐标分析 (PCoA),非度量多维缩放 (NMDS) 和非负矩阵对微生物组数据的因子化.
- 在PCoA和NMDS分析中使用UniFrac距离度量.
- 分析了来自186名AR患者和106名对照者的数据.
主要成果:
- 尺寸缩小方法表明微生物数据的连续分布.
- 来自PCoA和NMDS (UniFrac距离) 的复合变量与AR有很强的关联.
- 复合变量与AR的关联明显强于单个微生物属的丰度.
结论:
- 缩小尺寸的方法,特别是使用UniFrac距离的PCoA和NMDS,是微生物组研究的宝贵工具.
- 从缩小尺寸获得的复合变量为调查微生物组与疾病的关联提供了更强大的能力.
- 这种方法可以揭示肠道微生物组成,生活方式和过敏性鼻炎等疾病之间的重要联系.
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