A Test for the AKP (Anna Karenina Principle) in the Human Microbiome-Associated Diseases

Abstract

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). It is suggested that AKP effects are ubiquitous and significant in animal including human microbiomes, and frequently linked to deteriorating host health due to stress, diseases (particularly MADs), and immune system dysfunctions. Nevertheless, a large-scale meta-analysis of the AKP has not been conducted for either animal or human MADs. The AKP hypothesis predicts the rise of heterogeneity/stochasticity in animal/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.