利用人类微生物组进行疾病预测和治疗
Henok Ayalew Tegegne1, Tor C Savidge1
1Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, USA; Texas Children's Microbiome Center, Department of Pathology, Texas Children's Hospital, Houston, TX, USA.
Trends in pharmacological sciences
|December 28, 2024
概括
人类微生物群,一个复杂的微生物群体,具有疾病检测和个性化医学的潜力. 测序和生物信息学的进步旨在克服临床应用的数据挑战.
科学领域:
- 微生物学 微生物学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 人类微生物组包括各种微生物,对健康至关重要.
- 个体微生物组概况为疾病检测,预防和预测药物疗效提供了潜力.
- 将微生物组数据纳入临床实践是具有挑战性的,因为数据的复杂性和研究不一致性.
研究的目的:
- 审查微生物组研究的进展,以准确诊断和个性化治疗.
- 突出微生物组测序技术和生物信息学工具的进展.
- 为了应对建立强大的临床应用的因果关系的挑战.
主要方法:
- 检查16S rRNA和猎枪元基因组学测序的最新进展.
- 对微生物组数据集成的生物信息学工具的审查.
- 讨论基于微生物组的疗法和因果关系的挑战.
主要成果:
- 技术和人口偏见阻碍了可靠的疾病分类器开发.
- 测序和生物信息学的进步提高了微生物组数据的整合.
- 基于微生物组的疗法正在取得进展.
结论:
- 克服数据复杂性和偏见是临床微生物组整合的关键.
- 增强的测序和生物信息学工具促进了精确诊断.
- 建立因果关系对于有效的基于微生物组的诊断和治疗至关重要.
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