肥胖的营养基因组学:整合基因组学,表观遗传学和饮食微生物组相互作用,以获得精确营养
Anam Farzand1, Mohd Adzim Khalili Rohin1, Sana Javaid Awan2
1Faculty of Health Sciences, School of Nutrition and Dietetics, Universiti Sultan Zainal Abidin (UNISZA), Kuala Terengganu 21300, Malaysia.
Life (Basel, Switzerland)
|November 27, 2025
概括
遗传学和多学科揭示了肥胖的复杂性. 整合基因组学,表观基因组学和微生物组数据提供了精密营养潜力,但临床翻译需要进一步验证和AI框架.
科学领域:
- 遗传学和基因组学 在
- 营养学就是营养学.
- 代谢性疾病研究研究
背景情况:
- 肥胖是一种复杂的多因素疾病,由遗传,表观遗传,环境和行为因素驱动.
- 多组学方面的进步改善了对肥胖路径的理解,但在个性化营养中临床应用仍然具有挑战性.
研究的目的:
- 系统地审查和综合肥胖症最近的遗传和基因组发现.
- 探索这些发现如何为精准营养策略提供信息.
- 突出个性化肥胖干预的转化途径.
主要方法:
- 在PubMed,Scopus和Web of Science的综合文献搜索 (截至2024年7月).
- 包括关于单基性肥胖,多基性GWAS,表观遗传学,营养遗传学和肠道微生物组的研究.
- 符合条件的研究分为五个关键领域.
主要成果:
- 在肥胖易感性中发现了超过127个候选基因和253个QTL.
- 单基因变异 (例如,LEP,MC4R) 解释了罕见的表型;FTO和MC4R是主要的多基因基因.
- 表观遗传机制,饮食,体力活动和微生物群多样性显著影响肥胖.
结论:
- 整合多个omics数据 (基因组学,表观基因组学,营养基因组学,微生物组) 为个性化肥胖干预提供了变革性的潜力.
- 临床转化为基于证据的营养是有限的,需要功能验证和人工智能驱动的精确框架.
- 交叉祖先映射和人工智能对于推进肥胖管理中的精准营养至关重要.
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