Diet–microbiota interactions and personalized nutrition

微生物群 生物 肠道菌群 计算生物学 进化生物学 微生物学 免疫学 遗传学
作者
Aleksandra A. Kolodziejczyk,Danping Zheng,Eran Elinav
出处
期刊:Nature Reviews Microbiology [Nature Portfolio]
卷期号:17 (12): 742-753 被引量:791
标识
DOI:10.1038/s41579-019-0256-8
摘要

Conceptual scientific and medical advances have led to a recent realization that there may be no single, one-size-fits-all diet and that differential human responses to dietary inputs may rather be driven by unique and quantifiable host and microbiome features. Integration of these person-specific host and microbiome readouts into actionable modules may complement traditional food measurement approaches in devising diets that are of benefit to the individual. Although many host-derived factors are hardwired and difficult to modulate, the microbiome may be more readily reshaped by environmental factors such as dietary exposures and is increasingly recognized to potentially impact human physiology by participating in digestion, the absorption of nutrients, shaping of the mucosal immune response and the synthesis or modulation of a plethora of potentially bioactive compounds. Thus, diet-induced microbiota alterations may be harnessed in order to induce changes in host physiology, including disease development and progression. However, major limitations in ‘big-data’ processing and analysis still limit our interpretive and translational capabilities concerning these person-specific host, microbiome and diet interactions. In this Review, we describe the latest advances in understanding diet–microbiota interactions, the individuality of gut microbiota composition and how this knowledge could be harnessed for personalized nutrition strategies to improve human health. In this Review, Kolodziejczyk, Zheng and Elinav describe the latest advances in understanding diet–microbiota interactions, the individuality of gut microbiota composition and how this knowledge could be harnessed for personalized nutrition strategies to improve human health.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
TIPHA发布了新的文献求助10
刚刚
1秒前
bengbeng发布了新的文献求助10
1秒前
浮游应助范炎炎采纳,获得10
2秒前
2秒前
追寻清完成签到,获得积分10
2秒前
3秒前
浮游应助hellobxx采纳,获得10
4秒前
崽崽纯完成签到,获得积分10
4秒前
zoe666应助甜美香之采纳,获得30
4秒前
路灯完成签到,获得积分10
5秒前
Ava应助水煮牛肉火锅采纳,获得10
6秒前
xiaxia完成签到,获得积分10
6秒前
黄经亮完成签到,获得积分10
7秒前
sunshine999完成签到,获得积分10
8秒前
wjw发布了新的文献求助10
9秒前
l0000发布了新的文献求助10
9秒前
巴拉巴拉巴拉完成签到,获得积分10
10秒前
3333333333完成签到,获得积分10
10秒前
Profeto发布了新的文献求助10
11秒前
大头完成签到,获得积分10
11秒前
范炎炎完成签到,获得积分10
12秒前
12秒前
15秒前
xiaozhang完成签到 ,获得积分10
15秒前
16秒前
16秒前
16秒前
天天快乐应助luo采纳,获得10
17秒前
大佬完成签到,获得积分10
18秒前
ji发布了新的文献求助10
18秒前
18秒前
爱撒娇的高山完成签到 ,获得积分10
19秒前
Optimistic完成签到,获得积分10
20秒前
Orange应助勤奋太阳采纳,获得10
20秒前
lance发布了新的文献求助20
20秒前
21秒前
21秒前
Profeto完成签到,获得积分10
22秒前
dxurp发布了新的文献求助30
23秒前
高分求助中
Comprehensive Toxicology Fourth Edition 24000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
LRZ Gitlab附件(3D Matching of TerraSAR-X Derived Ground Control Points to Mobile Mapping Data 附件) 2000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
World Nuclear Fuel Report: Global Scenarios for Demand and Supply Availability 2025-2040 800
Handbook of Social and Emotional Learning 800
Risankizumab Versus Ustekinumab For Patients with Moderate to Severe Crohn's Disease: Results from the Phase 3B SEQUENCE Study 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5133536
求助须知:如何正确求助?哪些是违规求助? 4334655
关于积分的说明 13504255
捐赠科研通 4171630
什么是DOI,文献DOI怎么找? 2287267
邀请新用户注册赠送积分活动 1288167
关于科研通互助平台的介绍 1229009