biostudies-literatureShtossel OMOH grantISF grantInternal DSI BIU grant24https://www.ebi.ac.uk/biostudies/studies/S-EPMC10858481biostudies-literatureUnknown12(1)<h4>Background</h4>The effect of microbes on their human host is often mediated through changes in metabolite concentrations. As such, multiple tools have been proposed to predict metabolite concentrations from microbial taxa frequencies. Such tools typically fail to capture the dependence of the microbiome-metabolite relation on the environment.<h4>Results</h4>We propose to treat the microbiome-metabolome relation as the equilibrium of a complex interaction and to relate the host condition to a latent representation of the interaction between the log concentration of the metabolome and the log frequencies of the microbiome. We develop LOCATE (Latent variables Of miCrobiome And meTabolites rElations), a machine learning tool to predict the metabolite concentration from the microbiome compoMicrobiomeGut microbiome-metabolome interactions predict host condition.PMC10858481870/201001576036Koren OLouzoun YRinott EShtossel OShai IfalseGut microbiome-metabolome interactions predict host condition.<h4>Background</h4>The effect of microbes on their human host is often mediated through changes in metabolite concentrations. As such, multiple tools have been proposed to predict metabolite concentrations from microbial taxa frequencies. Such tools typically fail to capture the dependence of the microbiome-metabolite relation on the environment.<h4>Results</h4>We propose to treat the microbiome-metabolome relation as the equilibrium of a complex interaction and to relate the host condition to a latent representation of the interaction between the log concentration of the metabolome and the log frequencies of the microbiome. We develop LOCATE (Latent variables Of miCrobiome And meTabolites rElations), a machine learning tool to predict the metabolite concentration from the microbiome compo2024-01-01T00:00:00Z2024 Feb2026-06-04T05:29:53.735Z2025-04-05T14:51:52.026ZS-EPMC108584813833686710.1186/s40168-023-01737-1