Distinct stages in infant microbiome development identified
- Developmental phase (3 to 14 months of age)
- Transitional phase (15 to 30 months of age)
- Stable phase (31 to 46 months of age)
“This information is useful for any future microbiome studies looking at an infant cohort for scientific discovery and potential intervention purposes. The idea that we can stratify the development phases in this manner may give researchers additional resolution to reveal differences that could potentially be disease-associated,” Petrosino said.
More insights into microbiome development
The study found an association between at least partial breastfeeding and having a higher abundance of Bifidobacterium breve and Bifidobacterium bifidum, two types of bacterial species with probiotic properties known to be prevalent early in life. In addition, the cessation of breastfeeding accelerated the maturation of the infant’s microbiome, meaning it proceeded quickly through the other stages to the stable phase, which is hallmarked by higher amounts of the bacteria Firmicutes spp.
“Further research will help better understand the implications of having an accelerated rate of microbiome maturation,” Petrosino said.
In those infants who were breastfed, the strains of Bifidobacterium that had the genetic capability of processing human milk were no longer detected once breastfeeding stopped.
“The presumption is that selective pressure for these organisms to be present during breastfeeding is removed once breastfeeding stops, and other strains of Bifidobacterium that do not process the metabolites in breast milk can then grow,” Petrosino said. “This provides insight into how the early diet is impacting microbiome development.”
The researchers also found an association between vaginal delivery and having a greater abundance of bacteria belonging to the Bacteroides genus. However, having more Bacteroides at birth was not exclusive to those infants who were delivered by this mode. Those who did have more Bacteroides at birth tended to have a greater diversity of microbes early in the first 40 months of life.
“Again, the implications are not yet clear. Having microbial diversity is typically thought of as beneficial, but we still don’t fully understand which microbial signals early in life are important for development,” Petrosino said.
Petrosino noted that these data already are being used, along with the extensive TEDDY metadata repository, to better understand how environmental exposures contribute to progression to type 1 diabetes. Additional provocative microbiome analyses, including the viral and fungal microbiome constituents, are underway and will also include human genomic, metabolomic and proteomic data, as well as dietary and infectious episode information.
“These initial analyses have reinforced previous infant studies and also have revealed additional important microbiome associations during this critical time in life. Future discoveries from this cohort will pave the way for focused mechanistic work to elucidate how the microbiome influences health and disease, particularly type 1 diabetes,” said Dr. Christopher Stewart, co-first author of the study, formerly a postdoctoral researcher at the Petrosino lab at Baylor and now a research fellow at Newcastle University.
“It is cohorts such as this, where we can integrate clinical data with patient-specific exposure, genomic and microbiome analyses, that will lead to precision medicine-based diagnostics and therapeutics for type 1 diabetes and many other diseases,” Petrosino concluded.
Others who took part in the study include Nadim J. Ajami, Jacqueline L. O’Brien, Diane S. Hutchinson, Daniel P. Smith, Matthew C. Wong, Matthew C. Ross, Richard E. Lloyd, Harsha Vardhan Doddapaneni, Ginger A. Metcalf, Donna Muzny and Richard A. Gibbs, all with Baylor; Tommi Vatanen, Curtis Huttenhower and Ramnik J. Xavier with the Broad Institute of MIT and Harvard; Marian Rewers with the University of Colorado; William Hagopian with the Pacific Northwest Diabetes Research Institute; Jorma Toppari with Turku University Hospital in Finland; Anette G Ziegler with Helmholtz Zentrum München in Germany; Jin-Xiong She with the Medical College of Georgia – Augusta University; Beena Akolkar with the National Institute of Diabetes and Digestive and Kidney Diseases, part of the National Institutes of Health; Åke Lernmark with Lund University in Sweden; Heikki Hyoty with the University of Tampere and Fimlab Laboratories in Finland; and Kendra Vehik and Jeffrey P. Krischer with the University of South Florida Morsani College of Medicine.
This research was conducted on behalf of the TEDDY Study Group, which is funded by U01 DK63829, U01 DK63861, U01 DK63821, U01 DK63865, U01 DK63863, U01 DK63836, U01 DK63790, UC4 DK63829, UC4 DK63861, UC4 DK63821, UC4 DK63865, UC4 DK63863, UC4 DK63836, UC4 DK95300, UC4 DK100238, UC4 DK106955, UC4 DK112243, UC4 DK117483, and Contract No. HHSN267200700014C from the NIH’s National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Allergy and Infectious Diseases, Eunice Kennedy Shriver National Institute of Child Health and Human Development and National Institute of Environmental Health Sciences; Centers for Disease Control and Prevention; and JDRF (the leading global organization funding type 1 diabetes research). This work was supported in part by the NIH/NCATS Clinical and Translational Science Awards to the University of Florida (UL1 TR000064) and the University of Colorado (UL1 TR001082). R.J.X. were supported by funding from JDRF (2-SRA-2016-247-S-B and 2-SRA-2018-548-S-B).