人工智能对自闭症谱系障碍肠道微生物群分析的贡献:系统性审查
Pau Climent-Pérez1, Agustín Ernesto Martínez-González2, Pedro Andreo-Martínez3
1Department of Computing Technology, University of Alicante, 03690 San Vicente del Raspeig, Alicante, Spain.
Children (Basel, Switzerland)
|August 29, 2024
概括
人工智能 (AI) 正在用于分析自闭症谱系障碍 (ASD) 中的肠道微生物群 (GM). Bifidobacterium作为生物标志物显示出希望,但需要更多的研究才能获得临床应用.
科学领域:
- 神经科学是一个神经科学.
- 微生物学 微生物学
- 人工智能的人工智能
背景情况:
- 自闭症谱系障碍 (ASD) 是一种复杂的神经发育障碍,具有多因素的病因,可能涉及遗传,表观遗传和肠道微生物群 (GM) 因素.
- 基因转基因的失生症越来越多地与ASD的发病和通过微生物群-肠-大脑轴的进展有关.
- 人工智能 (AI) 的进步为分析复杂的生物数据提供了新的工具,包括转基因.
研究的目的:
- 系统地审查使用人工智能的研究,以分析ASD患者的转基因.
- 确定AI应用于与ASD相关的转基因研究的趋势和关键发现.
主要方法:
- 按照PRISMA模型进行系统的文献搜索.
- 选择了12篇相关文章,这些文章利用人工智能进行ASD的转基因分析.
- 分析地理分布和所选研究的主要发现.
主要成果:
- 大多数审查的研究是在中国 (33.3%) 和意大利 (25%) 进行的.
- 其他贡献的国家包括荷兰 (16.6%),墨西哥 (16.6%) 和韩国 (8.3%).
- 比菲多细菌 (Bifidobacterium) 成为与ASD相关的重要细菌生物标志物.
结论:
- 人工智能为在ASD研究中分析转基因数据提供了一个有希望的途径.
- 建议谨慎对初步发现的过度解释;需要进一步验证.
- 在不同的人口统计数据中为一般和ASD人群建立标准化的GM资料对于临床翻译至关重要.
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