Gut microbiota wellbeing index predicts overall health in a cohort of 1000 infants

被引:13
作者
Hickman, Brandon [1 ]
Salonen, Anne [1 ]
Ponsero, Alise J. [1 ]
Jokela, Roosa [1 ]
Kolho, Kaija-Leena [1 ,2 ]
de Vos, Willem M. [1 ,3 ]
Korpela, Katri [1 ]
机构
[1] Univ Helsinki, Fac Med, Human Microbiome Res Program, Helsinki, Finland
[2] Univ Helsinki, Childrens Hosp, Stenbackinkatu 11, FI-00029 Helsinki, Hus, Finland
[3] Wageningen Univ, Lab Microbiol, Wageningen, Netherlands
基金
芬兰科学院;
关键词
BIFIDOBACTERIUM-LACTIS; BIRTH MODE; CHILDREN; COLONIZATION; CHILDHOOD; DYNAMICS; HYGIENE; SYSTEM; TRIAL;
D O I
10.1038/s41467-024-52561-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The human gut microbiota is central in regulating all facets of host physiology, and in early life it is thought to influence the host's immune system and metabolism, affecting long-term health. However, longitudinally monitored cohorts with parallel analysis of faecal samples and health data are scarce. In our observational study we describe the gut microbiota development in the first 2 years of life and create a gut microbiota wellbeing index based on the microbiota development and health data in a cohort of nearly 1000 infants using clustering and trajectory modelling. We show that infants' gut microbiota development is highly predictable, following one of five trajectories, dependent on infant exposures, and predictive of later health outcomes. We characterise the natural healthy gut microbiota trajectory and several different dysbiotic trajectories associated with different health outcomes. Bifidobacterium and Bacteroides appear as early keystone organisms, directing microbiota development and consistently predicting positive health outcomes. A microbiota wellbeing index, based on the healthy development trajectory, is predictive of general health over the first 5 years. The results indicate that gut microbiota succession is part of infant physiological development, predictable, and malleable. This information can be utilised to improve the predictions of individual health risks.
引用
收藏
页数:15
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