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标题：Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases
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作者：Zhanshan (Sam) Ma
期刊名称：iScience
印刷版ISSN：2589-0042
出版年度：2020
卷号：23
期号：4
页码：1-22
DOI：10.1016/j.isci.2020.101007
语种：English
出版社：Elsevier
摘要：SummaryThe AKP (Anna Karenina principle), which refers to observations inspired by the opening line of Leo Tolstoy's Anna Karenina, “all happy families are all alike; each unhappy family is unhappy in its own way,” predicts that all “healthy” microbiomes are alike and each disease-associated microbiome is “sick” in its own way in human microbiome-associated diseases (MADs). The AKP hypothesis predicts the rise of heterogeneity/stochasticity in human microbiomes associated with dysbiosis due to MADs. We used the beta-diversity in Hill numbers and stochasticity analysis to detect AKP and anti-AKP effects. We tested the AKP with 27 human MAD studies and discovered that the AKP, anti-AKP, and non-AKP effects were exhibited in approximately 50%, 25%, and 25% of the MAD cases, respectively. Mechanistically, AKP effects are primarily influenced by highly dominant microbial species and less influenced by rare species. In contrast, all species appear to play equal roles in influencing anti-AKP effects.Graphical AbstractDisplay OmittedHighlights•About a half of microbiome-associated diseases follow AKP (Anna Karenina principle)•AKP effects are primarily influenced by highly dominant microbial species•About one-fourth of microbiome-associated diseases follow the anti-AKP•All species appear to play equal roles in influencing the anti-AKP effectsMicrobiology; Microbiome;In SilicoBiology