2024-09-19
ENA first public
ERC000050
ENA-CHECKLIST
EMBL Heidelberg
INSDC center name
public
INSDC status
ERS21061994
SRA accession
spire_mag_01450741
Submitter Id
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly quality
megahit 1.2.9
assembly software
default
binning parameters
metabat 2.12.1
binning software
human digestive system
broad-scale environmental context
EBI-EMG
broker name
missing: third party data
collection date
80.24
%
completeness score
checkm2 0.1.3
completeness software
4.46
%
contamination score
This sample represents a Third Party Annotation (TPA) binned metagenome assembled from the metagenomic runs ERR1137141,ERR1136939 of study ERP012929.
description
not specified
environmental medium
not provided
geographic location (country and/or sea)
not provided
DD
geographic location (latitude)
not provided
DD
geographic location (longitude)
metagenome-assembled genome
investigation type
human gut metagenome
isolation_source
human gut
local environmental context
human gut metagenome
metagenomic source
Phocaeicola vulgatus
organism
Elevated postprandial blood glucose levels constitute a global epidemic and a major risk factor for prediabetes and type-II diabetes, but existing dietary methods for controlling them have limited efficacy. Here, we continuously monitored week-long glucose levels in a 800-person cohort, measured responses to 46,898 meals, and found high variability in the response to identical meals, suggesting that universal dietary recommendations may have limited utility. We devised a machine-learning algorithm that integrates blood parameters, dietary habits, anthropometrics, physical activity, and gut microbiota measured in this cohort and showed that it accurately predicts personalized postprandial glycemic response to real-life meals. We validated these predictions in an independent 100-person cohort. Finally, a blinded randomized controlled dietary intervention based on this algorithm resulted in significantly lower postprandial responses and consistent alterations to gut microbiota configuration. Together, our results suggest that personalized diets may successfully modify elevated postprandial blood glucose and its metabolic consequences.
project name
SAMEA3664837
sample derived from
Phocaeicola vulgatus
scientific_name
Illumina HiSeq 2500
sequencing method
multi-marker approach
taxonomic identity marker
binned metagenome: spire_mag_01450741
title