一种整合性的多omics方法识别了与自闭症谱系障碍中的病理和行为特征相关的微生物组变化
Kai Mi1, Miao Cao2, Lingli Zhang3
1Shenzhen People's Hospital (The First Affiliated Hospital at Southern University of Science and Technology), Department of Biochemistry, SUSTech Homeostatic Medicine Institute, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China.
Cell reports. Medicine
|March 10, 2026
概括
肠道微生物,如Clostridioides difficile,预测自闭症谱系障碍 (ASD) 症状和儿童的大脑变化. 这些差异随着年龄的增长而减少,这表明ASD的早期肠道微生物干预措施.
科学领域:
- 神经科学是一个神经科学.
- 微生物学 微生物学
- 遗传学 是一个遗传学.
背景情况:
- 肠-大脑轴对神经发育至关重要.
- 自闭症谱系障碍 (ASD) 涉及复杂的遗传和环境因素.
- 改变肠道微生物组的组成越来越多地与ASD表型有关.
研究的目的:
- 通过多omics方法研究小儿自闭症谱系障碍 (ASD) 中的肠-大脑轴.
- 确定与ASD相关的微生物生物标志物及其与神经成像和代谢数据的关系.
- 探索ASD中肠-大脑变化的年龄依赖性.
主要方法:
- 多omics分析整合神经成像,肠道微生物组测序和血代谢学.
- 对326名患有自闭症儿童和169名典型发育 (TD) 的对照儿童 (年龄在0-10岁) 的比较分析.
- 统计建模,包括调解分析,以评估微生物特征,代谢物和神经行为结果之间的关系.
主要成果:
- 微生物特征准确地区分了ASD和TD儿童.
- 增加Clostridioides difficile的丰度是ASD症状严重程度和大脑结构变化的最强预测因素.
- 肠道和大脑的差异显示出依赖年龄的模式,汇聚到老年儿童的TD水平.
- 代谢物可能会调解肠道微生物对大脑结构和行为的影响.
结论:
- 肠道微生物群的组成强有力的预测大脑和行为表型在儿科ASD.
- 针对肠道微生物群的早期,年龄分层的治疗策略对于ASD管理至关重要.
- 调节肠道微生物组成可能为ASD提供一种新的治疗途径.
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