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Antibiotic-Induced Shifts in Fecal Microbiota Density and Composition during Hematopoietic Stem Cell Transplantation.
Morjaria, Sejal; Schluter, Jonas; Taylor, Bradford P; Littmann, Eric R; Carter, Rebecca A; Fontana, Emily; Peled, Jonathan U; van den Brink, Marcel R M; Xavier, Joao B; Taur, Ying.
Afiliación
  • Morjaria S; Infectious Disease Service, Department of Medicine, Memorial Sloan Kettering, New York, New York, USA.
  • Schluter J; Center for Microbes, Inflammation and Cancer, Memorial Sloan Kettering, New York, New York, USA.
  • Taylor BP; Weill Cornell Medical College, New York, New York, USA.
  • Littmann ER; Center for Microbes, Inflammation and Cancer, Memorial Sloan Kettering, New York, New York, USA.
  • Carter RA; Computational Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering, New York, New York, USA.
  • Fontana E; Center for Microbes, Inflammation and Cancer, Memorial Sloan Kettering, New York, New York, USA.
  • Peled JU; Computational Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering, New York, New York, USA.
  • van den Brink MRM; Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering, New York, New York, USA.
  • Xavier JB; Center for Microbes, Inflammation and Cancer, Memorial Sloan Kettering, New York, New York, USA.
  • Taur Y; Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering, New York, New York, USA.
Infect Immun ; 87(9)2019 09.
Article en En | MEDLINE | ID: mdl-31262981
ABSTRACT
Dramatic microbiota changes and loss of commensal anaerobic bacteria are associated with adverse outcomes in hematopoietic cell transplantation (HCT) recipients. In this study, we demonstrate these dynamic changes at high resolution through daily stool sampling and assess the impact of individual antibiotics on those changes. We collected 272 longitudinal stool samples (with mostly daily frequency) from 18 patients undergoing HCT and determined their composition by multiparallel 16S rRNA gene sequencing as well as the density of bacteria in stool by quantitative PCR (qPCR). We calculated microbiota volatility to quantify rapid shifts and developed a new dynamic systems inference method to assess the specific impact of antibiotics. The greatest shifts in microbiota composition occurred between stem cell infusion and reconstitution of healthy immune cells. Piperacillin-tazobactam caused the most severe declines among obligate anaerobes. Our approach of daily sampling, bacterial density determination, and dynamic systems modeling allowed us to infer the independent effects of specific antibiotics on the microbiota of HCT patients.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trasplante de Células Madre Hematopoyéticas / Heces / Microbiota / Microbioma Gastrointestinal / Antibacterianos Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Infect Immun Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trasplante de Células Madre Hematopoyéticas / Heces / Microbiota / Microbioma Gastrointestinal / Antibacterianos Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Infect Immun Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos