Literature DB >> 34209573

Engraftment of Bacteria after Fecal Microbiota Transplantation Is Dependent on Both Frequency of Dosing and Duration of Preparative Antibiotic Regimen.

Vancheswaran Gopalakrishnan1, Elizabeth Ashley Dozier1, Matthew S Glover2, Steven Novick3, Michael Ford4, Christopher Morehouse1, Paul Warrener1, Carolina Caceres1, Sonja Hess2, Bret R Sellman1, Taylor S Cohen1.   

Abstract

The gut microbiota has emerged as a key mediator of human physiology, and germ-free mice have been essential in demonstrating a role for the microbiome in disease. Preclinical models using conventional mice offer the advantage of working with a mature immune system. However, optimal protocols for fecal microbiota transplant (FMT) engraftment in conventional mice are yet to be established. Conventional BALB/c mice were randomized to receive 3-day (3d) or 3-week (3w) antibiotic (ABX) regimen in their drinking water followed by 1 or 5-daily FMTs from a human donor. Fecal samples were collected longitudinally and characterized using 16S ribosomal RNA (rRNA) sequencing. Semi-targeted metabolomic profiling of fecal samples was also done with liquid chromatography-mass spectrometry (LC-MS). Lastly, we sought to confirm our findings in BKS mice. Recovery of baseline diversity scores were greatest in the 3d groups, driven by re-emergence of mouse commensal microbiota, whereas the most resemblance to donor microbiota was seen in the 3w + 5-FMT group. Amplicon sequence variants (ASVs) that were linked to the input material (human ASVs) engrafted to a significantly greater extent when compared to mouse ASVs in the 3-week groups but not the 3-day groups. Lastly, comparison of metabolomic profiles revealed distinct functional profiles by ABX regimen. These results indicate successful model optimization and emphasize the importance of ABX duration and frequency of FMT dosing; the most stable and reliable colonization by donor ASVs was seen in the 3wk + 5-FMT group.

Entities:  

Keywords:  antibiotics; conventional mice; engraftment; microbiome

Year:  2021        PMID: 34209573     DOI: 10.3390/microorganisms9071399

Source DB:  PubMed          Journal:  Microorganisms        ISSN: 2076-2607


  47 in total

1.  UniFrac: an effective distance metric for microbial community comparison.

Authors:  Catherine Lozupone; Manuel E Lladser; Dan Knights; Jesse Stombaugh; Rob Knight
Journal:  ISME J       Date:  2010-09-09       Impact factor: 10.302

2.  Individuality in gut microbiota composition is a complex polygenic trait shaped by multiple environmental and host genetic factors.

Authors:  Andrew K Benson; Scott A Kelly; Ryan Legge; Fangrui Ma; Soo Jen Low; Jaehyoung Kim; Min Zhang; Phaik Lyn Oh; Derrick Nehrenberg; Kunjie Hua; Stephen D Kachman; Etsuko N Moriyama; Jens Walter; Daniel A Peterson; Daniel Pomp
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-11       Impact factor: 11.205

3.  Gut immune maturation depends on colonization with a host-specific microbiota.

Authors:  Hachung Chung; Sünje J Pamp; Jonathan A Hill; Neeraj K Surana; Sanna M Edelman; Erin B Troy; Nicola C Reading; Eduardo J Villablanca; Sen Wang; Jorge R Mora; Yoshinori Umesaki; Diane Mathis; Christophe Benoist; David A Relman; Dennis L Kasper
Journal:  Cell       Date:  2012-06-22       Impact factor: 41.582

Review 4.  Update on Fecal Microbiota Transplantation 2015: Indications, Methodologies, Mechanisms, and Outlook.

Authors:  Colleen R Kelly; Stacy Kahn; Purna Kashyap; Loren Laine; David Rubin; Ashish Atreja; Thomas Moore; Gary Wu
Journal:  Gastroenterology       Date:  2015-05-15       Impact factor: 22.682

5.  Durable coexistence of donor and recipient strains after fecal microbiota transplantation.

Authors:  Simone S Li; Ana Zhu; Vladimir Benes; Paul I Costea; Rajna Hercog; Falk Hildebrand; Jaime Huerta-Cepas; Max Nieuwdorp; Jarkko Salojärvi; Anita Y Voigt; Georg Zeller; Shinichi Sunagawa; Willem M de Vos; Peer Bork
Journal:  Science       Date:  2016-04-29       Impact factor: 47.728

6.  Temporal bacterial community dynamics vary among ulcerative colitis patients after fecal microbiota transplantation.

Authors:  Sieglinde Angelberger; Walter Reinisch; Athanasios Makristathis; Cornelia Lichtenberger; Clemens Dejaco; Pavol Papay; Gottfried Novacek; Michael Trauner; Alexander Loy; David Berry
Journal:  Am J Gastroenterol       Date:  2013-09-24       Impact factor: 10.864

Review 7.  The Influence of the Gut Microbiome on Cancer, Immunity, and Cancer Immunotherapy.

Authors:  Vancheswaran Gopalakrishnan; Beth A Helmink; Christine N Spencer; Alexandre Reuben; Jennifer A Wargo
Journal:  Cancer Cell       Date:  2018-04-09       Impact factor: 31.743

8.  Fecal microbiota transplant promotes response in immunotherapy-refractory melanoma patients.

Authors:  Gal Markel; Ben Boursi; Erez N Baruch; Ilan Youngster; Guy Ben-Betzalel; Rona Ortenberg; Adi Lahat; Lior Katz; Katerina Adler; Daniela Dick-Necula; Stephen Raskin; Naamah Bloch; Daniil Rotin; Liat Anafi; Camila Avivi; Jenny Melnichenko; Yael Steinberg-Silman; Ronac Mamtani; Hagit Harati; Nethanel Asher; Ronnie Shapira-Frommer; Tal Brosh-Nissimov; Yael Eshet; Shira Ben-Simon; Oren Ziv; Md Abdul Wadud Khan; Moran Amit; Nadim J Ajami; Iris Barshack; Jacob Schachter; Jennifer A Wargo; Omry Koren
Journal:  Science       Date:  2020-12-10       Impact factor: 47.728

9.  Antibiotic-Induced Disruption of Gut Microbiota Alters Local Metabolomes and Immune Responses.

Authors:  Lin Sun; Xiaoyan Zhang; Yuxiao Zhang; Kai Zheng; Qiaoyan Xiang; Ning Chen; Zhiyun Chen; Nan Zhang; Junping Zhu; Qiushui He
Journal:  Front Cell Infect Microbiol       Date:  2019-04-24       Impact factor: 5.293

10.  Stable engraftment of human microbiota into mice with a single oral gavage following antibiotic conditioning.

Authors:  Christopher Staley; Thomas Kaiser; Lalit K Beura; Matthew J Hamilton; Alexa R Weingarden; Aleh Bobr; Johnthomas Kang; David Masopust; Michael J Sadowsky; Alexander Khoruts
Journal:  Microbiome       Date:  2017-08-01       Impact factor: 14.650

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  1 in total

Review 1.  The influence of gut microbiota alteration on age-related neuroinflammation and cognitive decline.

Authors:  Amsha S Alsegiani; Zahoor A Shah
Journal:  Neural Regen Res       Date:  2022-11       Impact factor: 6.058

  1 in total

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