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相关概念视频

Introduction to the Human Microbiota01:22

Introduction to the Human Microbiota

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Microorganisms colonize various regions of the human body, including the mouth, nasal passages, throat, stomach, intestines, urogenital tract, and skin. The total number of microbial cells is estimated to range from 10¹³ to 10¹⁴—comparable to, or exceeding, the number of human somatic cells. This host–microbiome relationship has led to the conceptualization of humans as supraorganisms, wherein microbial communities perform vital roles in development, immunity,...
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Development of Human Microbiota01:30

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The human microbiota begins developing at birth and undergoes continual change as we age. Infancy marks a critical period of microbial sensitivity, offering a “window of opportunity” during which beneficial microbes help mature the immune system. By age three, children typically develop a more stable and diverse microbial community. Newborns acquire microbes from their immediate environment; vaginal delivery favors maternal vaginal microbes, while cesarean births favor microbes from...
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Microbiota of the Large Intestine01:27

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The large intestine hosts the most densely populated microbial ecosystem in the human body. This complex community primarily consists of anaerobic bacteria, with Bacillota (formerly Firmicutes) and Bacteroidota (formerly Bacteroidetes) as the predominant groups. The distribution of these microbes varies along different sections of the large intestine, influenced by local environmental factors such as oxygen availability and nutrient composition.The cecum, located at the beginning of the large...
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Functions of the Gut Microbiota01:18

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The gut microbiota includes trillions of microorganisms that colonize the human gastrointestinal tract, including bacteria, archaea, viruses, and fungi. This complex ecosystem plays a critical role in maintaining intestinal and systemic health. Most of these microbes inhabit the large intestine, establishing a relatively stable and diverse community that contributes to gut homeostasis through various metabolic, immunological, and protective mechanisms.Dominant bacterial phyla, such as...
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预测超级年龄:一种利用肠道微生物组特征的机器学习方法.

Ha Eun Kim1, Bori R Kim2, Sang Hi Hong3

  • 1Department of Artificial Intelligence Convergence, Ewha Womans University, College of Artificial Intelligence, Seoul, Republic of Korea.

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概括

超级老年人保持年轻的认知功能,他们的肠道微生物组与典型的老年人不同. 使用肠道细菌的机器学习模型可以预测超级老年状态,为成功的衰老提供了洞察力.

关键词:
这是Alistipes的类型.在LightGBM算法中,我们的肠道微生物组.机器学习是机器学习.超级青少年是一个超级青少年.

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科学领域:

  • 神经科学是一个神经科学.
  • 微生物学 微生物学
  • 老年学是一门学科.

背景情况:

  • 认知能力下降通常被视为衰老的正常部分.
  • 超级成年人,具有保存认知的老年人,提供了成功衰老的见解.
  • 微生物群-肠道-大脑轴突出了肠道微生物群对大脑健康的影响.

研究的目的:

  • 为了研究超级老年人的独特肠道微生物组模式.
  • 开发机器学习模型,以区分超级老年人和典型老年人.
  • 为了确定与高级认知功能相关的特定肠道微生物特征.

主要方法:

  • 招募了161名参与者,分析了102名 (57名超级老年人,45名典型老年人) 基于记忆表现.
  • 收集便样本用于肠道微生物组测序.
  • 利用LightGBM算法和SHAP分析进行预测建模和特征重要性.

主要成果:

  • 机器学习模型在区分超级年龄方面实现了高性能 (AUC高达0.861).
  • 微生物组的主要区分特征包括Alistipes,Leuconostoc等属,以及特定的未分类属 (PAC001137_g,PAC001138_g,PAC001115_g).
  • 较高的PAC001138_g和PAC001115_g的丰度与超级的分类正相关.

结论:

  • 机器学习模型使用肠道微生物组数据有效地将超级老年人与典型老年人区分开来.
  • 肠道微生物组组成是衰老认知弹性的一个潜在生物标志物.
  • 进一步的研究可以探索用于认知健康的微生物向干预措施.