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Quantitative analysis of disease-related metabolic dysregulation of human microbiota.

ABSTRACT: The metabolic activity of all the micro-organism composing the human microbiome interacts with the host metabolism contributing to human health and disease in a way that is not fully understood. Here, we introduce STELLA, a computational method to derive the spectrum of metabolites associated with the microbiome of an individual. STELLA integrates known information on metabolic pathways associated with each bacterial species and extracts from these the list of metabolic products of each singular reaction by means of automatic text analysis. By comparing the result obtained on a single subject with the metabolic profile data of a control set of healthy subjects, we are able to identify individual metabolic alterations. To illustrate the method, we present applications to autism spectrum disorder and multiple sclerosis.

SUBMITTER: Fumagalli MR

PROVIDER: S-EPMC9823209 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Quantitative analysis of disease-related metabolic dysregulation of human microbiota.

Fumagalli Maria Rita MR Saro Stella Maria SM Tajana Matteo M Zapperi Stefano S La Porta Caterina A M CAM

iScience 20221223 1

The metabolic activity of all the micro-organism composing the human microbiome interacts with the host metabolism contributing to human health and disease in a way that is not fully understood. Here, we introduce STELLA, a computational method to derive the spectrum of metabolites associated with the microbiome of an individual. STELLA integrates known information on metabolic pathways associated with each bacterial species and extracts from these the list of metabolic products of each singular ...[more]

PMID: 36624837

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Dataset Information

Quantitative analysis of disease-related metabolic dysregulation of human microbiota.

Publications

Quantitative analysis of disease-related metabolic dysregulation of human microbiota.

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