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Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases

The 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 microbiom...

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Autor principal: Ma, Zhanshan (Sam)
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163324/
https://www.ncbi.nlm.nih.gov/pubmed/32305861
http://dx.doi.org/10.1016/j.isci.2020.101007
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author Ma, Zhanshan (Sam)
author_facet Ma, Zhanshan (Sam)
author_sort Ma, Zhanshan (Sam)
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description The 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.
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spelling pubmed-71633242020-04-22 Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases Ma, Zhanshan (Sam) iScience Article The 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. Elsevier 2020-03-25 /pmc/articles/PMC7163324/ /pubmed/32305861 http://dx.doi.org/10.1016/j.isci.2020.101007 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Ma, Zhanshan (Sam)
Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases
title Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases
title_full Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases
title_fullStr Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases
title_full_unstemmed Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases
title_short Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases
title_sort testing the anna karenina principle in human microbiome-associated diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163324/
https://www.ncbi.nlm.nih.gov/pubmed/32305861
http://dx.doi.org/10.1016/j.isci.2020.101007
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