Composition and temporal stability of the gut microbiota in older persons.
Composition and temporal stability of the gut microbiota in older persons.
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DOI：
10.1038/ismej.2015.88
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发表时间：
2016-01
期刊：
影响因子：
--
通讯作者：
O'Toole PW
中科院分区：
文献类型：
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作者：
Jeffery IB;Lynch DB;O'Toole PW
人类肠道微生物群的组成和功能与健康和疾病有关。我们先前在178名老年受试者的未分层队列中确定了习惯性饮食，微生物群组成梯度和健康梯度之间的相关性。为了完善我们对饮食-微生物群关联和差异类群丰度的理解，我们采用了迭代双聚类算法（迭代二进制bclustering of gene sets（iBBiG）），并将其应用于来自371名ELDERMET队列受试者的732份粪便样本（包括纵向样本）的微生物群组成数据。因此，我们确定了与社区和长期住宿护理老年受试者的衰老相关的独特微生物群配置。混合类群的人口被确定有临床上不同的协会。在社区居住和长期护理受试者中观察到微生物群时间不稳定性，特别是在那些初始微生物群多样性低的受试者中。然而，受试者的微生物群的稳定性对微生物群的方向变化几乎没有影响，如长期停留的受试者所观察到的，这些受试者显示出逐渐远离其初始微生物群的变化。这在社区居住的受试者中没有观察到。这种方向性变化与长期停留的持续时间有关。这些细菌种群的变化代表了健康相关和青年相关微生物群组分的损失和老年相关微生物群的增加。有趣的是，社区相关的微生物群配置受到抗生素使用的影响比长期护理中个人的微生物群更大，因为社区相关的微生物群在抗生素治疗后表现出更多的损失，但也有更多的恢复。这种对老年人肠道微生物群组成模式的改进定义将更好地为针对肠道微生物群的饮食或抗生素干预措施的设计提供信息。
The composition and function of the human gut microbiota has been linked to health and disease. We previously identified correlations between habitual diet, microbiota composition gradients and health gradients in an unstratified cohort of 178 elderly subjects. To refine our understanding of diet–microbiota associations and differential taxon abundance, we adapted an iterative bi-clustering algorithm (iterative binary bclustering of gene sets (iBBiG)) and applied it to microbiota composition data from 732 faecal samples from 371 ELDERMET cohort subjects, including longitudinal samples. We thus identified distinctive microbiota configurations associated with ageing in both community and long-stay residential care elderly subjects. Mixed-taxa populations were identified that had clinically distinct associations. Microbiota temporal instability was observed in both community-dwelling and long-term care subjects, particularly in those with low initial microbiota diversity. However, the stability of the microbiota of subjects had little impact on the directional change of the microbiota as observed for long-stay subjects who display a gradual shift away from their initial microbiota. This was not observed in community-dwelling subjects. This directional change was associated with duration in long-stay. Changes in these bacterial populations represent the loss of the health-associated and youth-associated microbiota components and gain of an elderly associated microbiota. Interestingly, community-associated microbiota configurations were impacted more by the use of antibiotics than the microbiota of individuals in long-term care, as the community-associated microbiota showed more loss but also more recovery following antibiotic treatment. This improved definition of gut microbiota composition patterns in the elderly will better inform the design of dietary or antibiotic interventions targeting the gut microbiota.