Data-driven precision nutrition improves clinical outcomes and risk scores for IBS, depression, anxiety, and T2D

Abstract

Current dietary recommendations are often generalized, conflicting, and highly subjective, depending on the source biases. This results in confusion, skepticism, and frustration in the general population. As an alternative, we propose an objective, integrated, automated, algorithmic approach to diet and supplement recommendations that is powered by artificial intelligence that analyzes individualized molecular data from the gut microbiome, the human host, and their interactions. This platform enables precise, personalized, and data-driven nutritional recommendations that consist of foods and supplements, based on the individual molecular data, to support healthy homeostasis. We describe the application of this precision technology platform to populations with depression, anxiety, irritable bowel syndrome (IBS), and type 2 diabetes (T2D). We show that our precision nutritional recommendations resulted in improvements in clinical outcomes by 36% in severe cases of depression, 40% in severe cases of anxiety, 38% in severe cases of IBS, and more than 30% in the T2D risk score which was validated against clinical measurement of HbA1c. Our data support the integration of precision food and supplements into the standard of care for these chronic conditions.

Gut Microbiome Activity Contributes to Prediction of Individual Variation in Glycemic Response in Adults

“…Collections of these raw microbiome molecular pathway features were aggregated into custom microbiome scores, designed to capture the functional characteristics as described in the literature [ 18 ]. For example, the microbiome balance score is an aggregate assessment of overall ratios for both active beneficial and active harmful microbes, as well as select diversity metrics.…”

“…This score is binary with a value of “Low” or “Normal”. All microbiome scores are generated by taking metatranscriptomic data as input, and applying an expert-designed scoring algorithm developed at Viome [ 18 ] to derive an overall activity level.…”

“…The metatranscriptomics approach we employ measures the complete set of gene transcripts (RNA) from a sample, and in microbiome samples, this technique facilitates quantitative strain-level classification and functional pathway analysis of microbes, which we accomplish through sequence alignments to publicly available reference databases. We aggregate collections of these microbial pathway features into curated scores, capturing functional characteristics as described in the literature [ 18 ]. Gut microbiome activity is measured by metatranscriptomics and includes all curated microbiome features and scores.…”

The effectiveness of precision supplements on depression symptoms in a US population

“…Viome's precision supplements result from combining microbiome and human activity profiling using metatranscriptomics (gene expression) and an AI-powered recommendation engine. The former identifies the active microorganisms and human molecular functions based on which a set of Viome wellness scores are computed to reflect the individual's gut health [11]. The la er implements a precision supplement recommendation algorithm that takes as input the Viome wellness scores and self-reported phenotypes for an individual and produces as output a set of ingredients with dosages targeting all Viome-assigned conditions for that individual.…”

“…Viome is a wellness company that identifies early signs of microbial and human imbalance and inflammation in the body by profiling the stool, saliva and blood samples packaged in different kit options, processed in the lab using a metatranscriptomic approach [10]. The Viome service provides personalized food and supplement recommendations based on an algorithm that takes into account the gut and human biochemical functions and self-reported phenotype information [11]. The algorithm computes a set of ingredients with dosages targeting all Viome-assigned conditions for that individual.…”