Do bacteria cause diabetes?

Diabetes symptoms As the incidence of type 1 diabetes in developed countries has been increasing at a rate far beyond the rate of population growth, environmental factors have been considered as likely candidates responsible for this change in disease incidence in recent decades. Of those factors, the gut microbiota have come under recent interest; supported in part by observations in both non-obese diabetic (NOD) mice and BioBreeding Diabetes Prone (BB-DP) rats where antibiotic use prevents the onset of diabetes.

To explore specific differences in the microbial communities responsible for T1D modulation, a metagenomic analysis of bacteria from susceptible rodents was performed. This revealed bacteria whose members were either positively or negatively correlated with diabetes. Lactobacillus and Bifidobacterium were more abundant in BB-DR (Diabetes Resistant) rats while Bacteroides and Clostridium were more abundant in BB-DP (Diabetes Prone) rats. Both Lactobacillus and Bifidobacterium are well known to have members with probiotic characteristics. These data suggest a model for the role of bacteria in a healthy gut. The total number of lactic acid producing and butyrate producing bacteria is higher in controls than in diabetic animals. This suggest that microbial-induced butyrate production, and subsequent mucin synthesis, with a corresponding enhancement of tight junctions may contribute to the development of autoimmunity for type 1 diabetes in humans.


Gut Microbiome Metagenomics Analysis Suggests a Functional Model for the Development of Autoimmunity for Type 1 Diabetes. (2011) PLoS ONE 6(10): e25792. doi:10.1371/journal.pone.0025792
Recent studies have suggested a bacterial role in the development of autoimmune disorders including type 1 diabetes (T1D). Over 30 billion nucleotide bases of Illumina shotgun metagenomic data were analyzed from stool samples collected from four pairs of matched T1D case-control subjects collected at the time of the development of T1D associated autoimmunity (i.e., autoantibodies). From these, approximately one million open reading frames were predicted and compared to the SEED protein database. Of the 3,849 functions identified in these samples, 144 and 797 were statistically more prevalent in cases and controls, respectively. Genes involved in carbohydrate metabolism, adhesions, motility, phages, prophages, sulfur metabolism, and stress responses were more abundant in cases while genes with roles in DNA and protein metabolism, aerobic respiration, and amino acid synthesis were more common in controls. These data suggest that increased adhesion and flagella synthesis in autoimmune subjects may be involved in triggering a T1D associated autoimmune response. Extensive differences in metabolic potential indicate that autoimmune subjects have a functionally aberrant microbiome. Mining 16S rRNA data from these datasets showed a higher proportion of butyrate-producing and mucin-degrading bacteria in controls compared to cases, while those bacteria that produce short chain fatty acids other than butyrate were higher in cases. Thus, a key rate-limiting step in butyrate synthesis is more abundant in controls. These data suggest that a consortium of lactate- and butyrate-producing bacteria in a healthy gut induce a sufficient amount of mucin synthesis to maintain gut integrity. In contrast, non-butyrate-producing lactate-utilizing bacteria prevent optimal mucin synthesis, as identified in autoimmune subjects.

This entry was posted in Uncategorized and tagged , , , , , , , . Bookmark the permalink.

2 Responses to Do bacteria cause diabetes?

  1. Too bad the authors do not mention “rats” or “rodents” in the abstract, only “subjects” — which makes one think of human subjects. But no, it is stool samples from rats, not people, as you well wrote in your opening paragraph. Thanks for that, Alan!

  2. AJ Cann says:

    Clearly the studies need to be repeated in humans, but doing prospective studies on T1D in human populations (as opposed to T2D where there is a familial component and established predictors such as obesity), will be difficult.

Comments are closed.