精确的营养基因组学,肠道微生物群和人工智能在慢性病中
Sara Mahdavi1,2
1Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Journal of the American Nutrition Association
|October 7, 2025
概括
遗传变异会影响个人对慢性病 (CKD) 的饮食干预措施的反应. 精准营养,以基因饮食相互作用和AI为指导,为CKD患者提供量身定制的管理策略.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 营养科学 营养科学
- 遗传学 是一个遗传学.
背景情况:
- 慢性病 (CKD) 是一个广泛的健康问题,需要综合营养管理.
- 对于CKD的饮食干预措施的个人反应有所不同,可能是由于影响代谢途径的遗传因素.
研究的目的:
- 审查关键的基因饮食相互作用与CKD管理相关,包括风险因素和并发症.
- 探索遗传变异,食生物活性和肠道微生物组在CKD中的作用.
- 讨论人工智能 (AI) 在改进CKD精密营养方面的潜力.
主要方法:
- 文献综述,重点关注CKD中的基因饮食相互作用.
- 分析特定基因变异 (例如,ACE,TCF7L2,PPM1K,CYP1A2) 以及它们对CKD相关疾病的影响.
- 讨论人工智能应用和使用维生素D作为模型的精密营养框架.
主要成果:
- 基因变异影响盐敏感性,血压,糖尿病风险和CKD中的蛋白尿.
- 饮食中的生物活性物质,如咖啡因和蛋白质摄入量,与遗传特征相互作用,影响CKD的进展.
- 肠道微生物组在营养调节中发挥作用,人工智能可以个性化CKD营养.
结论:
- 基因饮食相互作用对于有效的CKD营养管理至关重要.
- 精准营养,利用遗传洞察力和人工智能,有望为量身定制的CKD预防和治疗提供希望.
- 提出了一个精准营养框架,整合了分子机制,遗传学,表观遗传学和翻译工具.
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