Illustration based on photomicrographs depicting the ultrastructural morphology exhibited by a single Gram-positive Clostridium difficile bacillus. Image: CDC
Illustration based on photomicrographs depicting the ultrastructural morphology exhibited by a single Gram-positive Clostridium difficile bacillus. Image: CDC
The microbiome is like a fingerprint: Every person’s community of microbes is complex and unique. But the underlying dynamics of the interactions between microbes that shape these microbial ecosystems may have something in common.
To investigate, Harvard Medical School researchers from the Channing Division of Network Medicine at Brigham and Women’s Hospital, led by Amir Bashan, HMS research fellow in medicine, and Yang-Yu Liu, HMS assistant professor of medicine, analyzed data from large metagenomic datasets including the Human Microbiome Project and Student Microbiome Project to look at the dynamics of the gut, mouth and skin microbiomes of healthy subjects.
The team found universal (host-independent) dynamics for both the gut and the mouth of healthy individuals.
In people with recurrent C. difficile infections, these universal patterns broke down. However, after receiving a fecal microbiota transplant (FMT) to treat the infection, the same subjects showed universal gut microbial dynamics. The results of the study are published in Nature.
The new work helps to improve researchers’ understanding of the processes that shape the microbiome and could inform future treatments of subjects with other diseases or infants at different developmental stages.
The researchers note that their computational approach can also be used to analyze microbial ecosystems found in soil, ocean, lakes and other habitats to detect universal dynamics of microbes in these environments as well.
The research sheds new light on why fecal microbiota transplantation may work so well, despite the uniqueness of each individual’s microbiome.
“Fecal microbiota transplantation has been very successful for many patients with C. difficile infections, but we’ve never known why. What we’ve found here—that different people share similar ecological networks—may help us understand why FMT works,” corresponding author Yang-Yu Liu said.
“Our work also suggests that we can design very generic microbiome-based therapies to treat patients. Because we share similar ecological networks, truly individualized or personalized therapies, which consider not only the unique microbial state of an individual but also the unique dynamics of the underlying microbial ecosystem, may not be needed in order to shape the healthy microbiome.”
Adapted from a Brigham and Women’s news release.
