Recovery of the Gut Microbiota after Antibiotics Depends on Host Diet, Community Context, and Environmental Reservoirs.
Recovery of the Gut Microbiota after Antibiotics Depends on Host Diet, Community Context, and Environmental Reservoirs.
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DOI:
10.1016/j.chom.2019.10.011
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发表时间:
2019-11-13
影响因子:
30.3
通讯作者:
Huang KC
中科院分区:
文献类型:
--
作者:
Ng KM;Aranda-Díaz A;Tropini C;Frankel MR;Van Treuren W;O'Loughlin CT;Merrill BD;Yu FB;Pruss KM;Oliveira RA;Higginbottom SK;Neff NF;Fischbach MA;Xavier KB;Sonnenburg JL;Huang KC
Antibiotics alter microbiota composition and increase infection susceptibility. However, the generalizable effects of antibiotics on gut commensals and the contribution of environmental variables remain unclear. To address this, we tracked microbiota dynamics with high temporal and taxonomic resolution during antibiotic treatment in a controlled murine system, isolating variables such as diet, treatment history, and housing co-inhabitants. Human microbiota were remarkably resilient, and recovered during antibiotic treatment with transient dominance of resistant Bacteroides and taxa-asymmetric diversity reduction. In certain cases, in vitro sensitivities were not predictive of in vivo responses, underscoring the significance of host and community context. A fiber-deficient diet exacerbated microbiota collapse and delayed recovery. Species replacement through cross-housing after ciprofloxacin treatment established resilience to a second treatment. Single-housing drastically disrupted recovery, highlighting the importance of environmental reservoirs. Our findings highlight deterministic microbiota adaptations to perturbations, and the translational potential for modulating diet, sanitation, and microbiota composition during antibiotics. Ng et al. systematically compare microbiota responses to antibiotics in mice. A fiber-deficient diet or single-housing aggravated otherwise rapid recovery, while microbiota reprogramming through repeated treatment or transmission between hosts enhanced resilience. This work highlights the translational potential for modulating diet, sanitation, and microbiota composition during antibiotic treatment.
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影响因子:
4.9
作者:
Karlowsky, James A.;Walkty, Andrew J.;Zhanel, George G.
通讯作者:
Zhanel, George G.
影响因子:
48
作者:
Langmead, Ben;Salzberg, Steven L.
通讯作者:
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影响因子:
48
作者:
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Holmes SP
DOI:
10.1007/978-1-61779-513-8_13
发表时间:
2012-01-01
期刊:
MUCINS: METHODS AND PROTOCOLS
影响因子:
--
作者:
Johansson, Malin E. V.;Hansson, Gunnar C.
通讯作者:
Hansson, Gunnar C.
影响因子:
64.5
作者:
Cox LM;Yamanishi S;Sohn J;Alekseyenko AV;Leung JM;Cho I;Kim SG;Li H;Gao Z;Mahana D;Zárate Rodriguez JG;Rogers AB;Robine N;Loke P;Blaser MJ
通讯作者:
Blaser MJ