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Comment
. 2014 Jan-Feb;5(1):64-70.
doi: 10.4161/gmic.27128. Epub 2013 Dec 13.

Gut microbiota disturbance during antibiotic therapy: a multi-omic approach

Affiliations
Comment

Gut microbiota disturbance during antibiotic therapy: a multi-omic approach

Manuel Ferrer et al. Gut Microbes. 2014 Jan-Feb.

Abstract

It is known that the gastrointestinal tract (GIT) microbiota responds to different antibiotics in different ways and that while some antibiotics do not induce disturbances of the community, others drastically influence the richness, diversity, and prevalence of bacterial taxa. However, the metabolic consequences thereof, independent of the degree of the community shifts, are not clearly understood. In a recent article, we used an integrative OMICS approach to provide new insights into the metabolic shifts caused by antibiotic disturbance. The study presented here further suggests that specific bacterial lineage blooms occurring at defined stages of antibiotic intervention are mostly associated with organisms that possess improved survival and colonization mechanisms, such as those of the Enterococcus, Blautia, Faecalibacterium, and Akkermansia genera. The study also provides an overview of the most variable metabolic functions affected as a consequence of a β-lactam antibiotic intervention. Thus, we observed that anabolic sugar metabolism, the production of acetyl donors and the synthesis and degradation of intestinal/colonic epithelium components were among the most variable functions during the intervention. We are aware that these results have been established with a single patient and will require further confirmation with a larger group of individuals and with other antibiotics. Future directions for exploration of the effects of antibiotic interventions are discussed.

Keywords: antibiotic therapy; human gut microbiota; metabolomic; metagenomic; metaproteomic; metatranscriptomic.

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Figures

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Figure 1. Biodiversity measurements of the total (left) and active (right) GIT microbiota from a patient receiving β-lactam therapy. The number of observed taxa (N), the biodiversity index value (Shannon), and the richness estimator (Chao1) are adapted from reference .
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Figure 2. Graphical representation of the pathways involved in the metabolism of acetyl phosphate and acetyl-CoA that have been shown to differ in their prevalence (based on the presence or absence of enzymes assigned to the pathways) in all six sampled communities. The enzymes (with EC numbers) implicated in each particular reaction are specifically indicated. Discontinuous lines indicate multiple reactions involved in the transformation.

Comment on

  • Gut microbiota disturbance during antibiotic therapy: a multi-omic approach.
    Pérez-Cobas AE, Gosalbes MJ, Friedrichs A, Knecht H, Artacho A, Eismann K, Otto W, Rojo D, Bargiela R, von Bergen M, Neulinger SC, Däumer C, Heinsen FA, Latorre A, Barbas C, Seifert J, dos Santos VM, Ott SJ, Ferrer M, Moya A. Pérez-Cobas AE, et al. Gut. 2013 Nov;62(11):1591-601. doi: 10.1136/gutjnl-2012-303184. Epub 2012 Dec 12. Gut. 2013. PMID: 23236009 Free PMC article.

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