摘要:
The present invention relates to the identification of a person having risk for developing type 2 diabetes (T2D) by determining the presence or absence of specific genes, gene clusters, genera or species of bacteria in the person's gastrointestinal microbiota. More specifically the invention relates to a model to identify an individual having or at risk of developing type 2 diabetes (T2D) using metagenomic clusters (MGCs), wherein said model is characterized by using different metagenomic clusters for different population groups. Also provided is the use of such a model in the identification of a person having risk for developing type 2 diabetes (T2D).
摘要:
The present invention provides the use of metagenomics to identify a compositional or functional alteration of the gut metagenome related to atherosclerosis or atherosclerotic associated disease. Also provided are methods to identify a person having risk for atherosclerosis and associated diseases by determining the presence of specific bacterial groups or species and also metabolic functions in the person's gut microbiota and to use such information to develop a prevention or treatment strategy.
摘要:
The present invention relates to the identification of a person having risk for developing type 2 diabetes (T2D) by determining the presence or absence of specific genes, gene clusters, genera or species of bacteria in the person's gastrointestinal microbiota. More specifically the invention relates to a model to identify an individual having or at risk of developing type 2 diabetes (T2D) using metagenomic clusters (MGCs), wherein said model is characterised by using different metagenomic clusters for different population groups. Also provided is the use of such a model in the identification of a person having risk for developing type 2 diabetes (T2D).
摘要:
The present invention provides the use of metagenomics to identify a compositional or functional alteration of the gut metagenome related to atherosclerosis or atherosclerotic associated disease. Also provided are methods to identify a person having risk for atherosclerosis and associated diseases by determining the presence of specific bacterial groups or species and also metabolic functions in the person's gut microbiota and to use such information to develop a prevention or treatment strategy.