利用局部关联算法研究抗生素对人类肠道微生物菌群的影响

Using eLSA to Study the Effects of Antibiotic to the Human Gut Microbiota

人类肠道微生物与人体健康有着千丝万缕的联系,肠道微生物群的改变是人体健康及功能的标志物。利用局部关联(eLSA)算法研究抗生素对人体肠道微生物菌群之间关联的影响,结果表明:抗生素对肠道微生物的影响,不仅出现在全局的时间序列关联中,同时还出现在局部和带时间延迟的关联序列中;肠道微生物经历重复的抗生素扰动时,部分扰动反应关联消失或出现新的关联,说明抗生素的扰动可以改变肠道微生物菌群间原有的状态,这种改变甚至有可能是长期的;个体拥有的肠道微生物并不完全相同,不同的个体对应同样的抗生素扰动会有不同的个性化反应。

The human gut microbiota has great importance to human health. The eLSA algorithm is used to ana- lyze human gut microbiota time series under antibiotic perturbation. The results showed that the human gut microbio- ta responded to antibiotic perturbation with both changes in global associations and in local and/or time-delayed as- sociations; human gut microbiota under repeated antibiotic perturbation, perturbation associations part disappear or emergence some new associations, means antibiotic perturbation can be change the original status of gut microbiota ; Individual gut microbiota are different in their response to antibiotics, which may signify the possibility of different patient response to the same antibiotic treatment and imply personalized antibiotic treatment is a direction of further research.