Cargando…

Early Childhood Gut Microbiomes Show Strong Geographic Differences Among Subjects at High Risk for Type 1 Diabetes

OBJECTIVE: Gut microbiome dysbiosis is associated with numerous diseases, including type 1 diabetes. This pilot study determines how geographical location affects the microbiome of infants at high risk for type 1 diabetes in a population of homogenous HLA class II genotypes. RESEARCH DESIGN AND METH...

Descripción completa

Detalles Bibliográficos
Autores principales: Kemppainen, Kaisa M., Ardissone, Alexandria N., Davis-Richardson, Austin G., Fagen, Jennie R., Gano, Kelsey A., León-Novelo, Luis G., Vehik, Kendra, Casella, George, Simell, Olli, Ziegler, Anette G., Rewers, Marian J., Lernmark, Åke, Hagopian, William, She, Jin-Xiong, Krischer, Jeffrey P., Akolkar, Beena, Schatz, Desmond A., Atkinson, Mark A., Triplett, Eric W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4302256/
https://www.ncbi.nlm.nih.gov/pubmed/25519450
http://dx.doi.org/10.2337/dc14-0850
Descripción
Sumario:OBJECTIVE: Gut microbiome dysbiosis is associated with numerous diseases, including type 1 diabetes. This pilot study determines how geographical location affects the microbiome of infants at high risk for type 1 diabetes in a population of homogenous HLA class II genotypes. RESEARCH DESIGN AND METHODS: High-throughput 16S rRNA sequencing was performed on stool samples collected from 90 high-risk, nonautoimmune infants participating in The Environmental Determinants of Diabetes in the Young (TEDDY) study in the U.S., Germany, Sweden, and Finland. RESULTS: Study site–specific patterns of gut colonization share characteristics across continents. Finland and Colorado have a significantly lower bacterial diversity, while Sweden and Washington state are dominated by Bifidobacterium in early life. Bacterial community diversity over time is significantly different by geographical location. CONCLUSIONS: The microbiome of high-risk infants is associated with geographical location. Future studies aiming to identify the microbiome disease phenotype need to carefully consider the geographical origin of subjects.