| Literature DB >> 22168424 |
Diane Mathis1, Christophe Benoist.
Abstract
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.Entities:
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Year: 2012 PMID: 22168424 DOI: 10.1111/j.1600-065X.2011.01084.x
Source DB: PubMed Journal: Immunol Rev ISSN: 0105-2896 Impact factor: 12.988