Antibiotic-Induced Shifts in Fecal Microbiota Density and Composition during Hematopoietic Stem Cell Transplantation

被引:0
|
作者
Morjaria, Sejal [1 ,3 ,6 ]
Schluter, Jonas [3 ,4 ]
Taylor, Bradford P. [3 ,4 ]
Littmann, Eric R. [2 ,3 ]
Carter, Rebecca A. [2 ,3 ]
Fontana, Emily [3 ]
Peled, Jonathan U. [5 ,6 ]
van den Brink, Marcel R. M. [2 ,5 ,6 ]
Xavier, Joao B. [3 ,4 ]
Taur, Ying [1 ,3 ,6 ]
机构
[1] Mem Sloan Kettering, Dept Med, Infect Dis Serv, New York, NY 10065 USA
[2] Mem Sloan Kettering, Sloan Kettering Inst, Immunol Program, New York, NY USA
[3] Mem Sloan Kettering, Ctr Microbes Inflammat & Canc, New York, NY 10065 USA
[4] Mem Sloan Kettering, Sloan Kettering Inst, Computat Biol Program, New York, NY USA
[5] Mem Sloan Kettering, Dept Med, Adult Bone Marrow Transplant Serv, New York, NY USA
[6] Weill Cornell Med Coll, New York, NY 10065 USA
基金
美国国家卫生研究院;
关键词
antibiotics; commensal anaerobes; hematopoietic cell transplantation; microbiome; systems biology; CLOSTRIDIUM-DIFFICILE; INTESTINAL MICROBIOTA; INFECTION; DIVERSITY; TRACT; RISK;
D O I
10.1128/IAI.00206-19
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
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.
引用
收藏
页数:10
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