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The influence of the microbiota on type‐1 diabetes: on the threshold of a leap forward in our understanding
Author(s) -
Mathis Diane,
Benoist Christophe
Publication year - 2012
Publication title -
immunological reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.839
H-Index - 223
eISSN - 1600-065X
pISSN - 0105-2896
DOI - 10.1111/j.1600-065x.2011.01084.x
Subject(s) - decipher , microbiome , biology , computational biology , set (abstract data type) , evolutionary biology , human microbiome , model organism , genetics , gene , computer science , programming language
Summary: The last several years have seen breakthroughs in techniques to track the symbiont communities that normally colonize mammals (the microbiota) and in cataloguing the universe of the genes they carry (the microbiome). Applying these methods to human patients and corresponding murine models should allow us to decipher just how the microbiota impacts type‐1 diabetes, i.e. which particular microbes are responsible and the cellular and molecular processes that are involved. Here, at its threshold, we set the stage for what promises to be an exciting rejuvenated area of investigation.