TY - JOUR
T1 - Strain Tracking Reveals the Determinants of Bacterial Engraftment in the Human Gut Following Fecal Microbiota Transplantation
AU - Smillie, Christopher S.
AU - Sauk, Jenny
AU - Gevers, Dirk
AU - Friedman, Jonathan
AU - Sung, Jaeyun
AU - Youngster, Ilan
AU - Hohmann, Elizabeth L.
AU - Staley, Christopher
AU - Khoruts, Alexander
AU - Sadowsky, Michael J.
AU - Allegretti, Jessica R.
AU - Smith, Mark B.
AU - Xavier, Ramnik J.
AU - Alm, Eric J.
N1 - Publisher Copyright:
© 2018 Elsevier Inc.
PY - 2018/2/14
Y1 - 2018/2/14
N2 - Fecal microbiota transplantation (FMT) from healthy donor to patient is a treatment for microbiome-associated diseases. Although the success of FMT requires donor bacteria to engraft in the patient's gut, the forces governing engraftment in humans are unknown. Here we use an ongoing clinical experiment, the treatment of recurrent Clostridium difficile infection, to uncover the rules of engraftment in humans. We built a statistical model that predicts which bacterial species will engraft in a given host, and developed Strain Finder, a method to infer strain genotypes and track them over time. We find that engraftment can be predicted largely from the abundance and phylogeny of bacteria in the donor and the pre-FMT patient. Furthermore, donor strains within a species engraft in an all-or-nothing manner and previously undetected strains frequently colonize patients receiving FMT. We validated these findings for metabolic syndrome, suggesting that the same principles of engraftment extend to other indications. Smillie et al. profile the gut microbiota of recurrent Clostridium difficile patients during fecal microbiota transplantation (FMT) and uncover the principles of microbiota engraftment in humans. They validate their findings across several FMT datasets and in another disease context, metabolic syndrome.
AB - Fecal microbiota transplantation (FMT) from healthy donor to patient is a treatment for microbiome-associated diseases. Although the success of FMT requires donor bacteria to engraft in the patient's gut, the forces governing engraftment in humans are unknown. Here we use an ongoing clinical experiment, the treatment of recurrent Clostridium difficile infection, to uncover the rules of engraftment in humans. We built a statistical model that predicts which bacterial species will engraft in a given host, and developed Strain Finder, a method to infer strain genotypes and track them over time. We find that engraftment can be predicted largely from the abundance and phylogeny of bacteria in the donor and the pre-FMT patient. Furthermore, donor strains within a species engraft in an all-or-nothing manner and previously undetected strains frequently colonize patients receiving FMT. We validated these findings for metabolic syndrome, suggesting that the same principles of engraftment extend to other indications. Smillie et al. profile the gut microbiota of recurrent Clostridium difficile patients during fecal microbiota transplantation (FMT) and uncover the principles of microbiota engraftment in humans. They validate their findings across several FMT datasets and in another disease context, metabolic syndrome.
KW - C. difficile
KW - Clostridium difficile
KW - FMT
KW - bacterial engraftment
KW - fecal microbiota transplant
KW - fecal transplant
KW - human microbiome
KW - human microbiota
KW - strain inference
KW - strain tracking
UR - http://www.scopus.com/inward/record.url?scp=85044337697&partnerID=8YFLogxK
U2 - 10.1016/j.chom.2018.01.003
DO - 10.1016/j.chom.2018.01.003
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C2 - 29447696
AN - SCOPUS:85044337697
SN - 1931-3128
VL - 23
SP - 229-240.e5
JO - Cell Host and Microbe
JF - Cell Host and Microbe
IS - 2
ER -