2015
DOI: 10.1038/ismej.2015.148
|View full text |Cite
|
Sign up to set email alerts
|

The initial state of the human gut microbiome determines its reshaping by antibiotics

Abstract: Microbiome studies have demonstrated the high inter-individual diversity of the gut microbiota. However, how the initial composition of the microbiome affects the impact of antibiotics on microbial communities is relatively unexplored. To specifically address this question, we administered a second-generation cephalosporin, cefprozil, to healthy volunteers. Stool samples gathered before antibiotic exposure, at the end of the treatment and 3 months later were analysed using shotgun metagenomic sequencing. On av… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

10
302
0
1

Year Published

2016
2016
2024
2024

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 297 publications
(313 citation statements)
references
References 57 publications
10
302
0
1
Order By: Relevance
“…Raymond et al studied exactly this in 18 healthy subjects, including six controls, who were administered a 7-day course of cefprozil and had their microbiome assessed using deep sequencing at 0, 7, and 90 days [22]. At baseline (day 0) the subjects were found to broadly fit into four clusters that appeared to be a variation on three previously described enterotypes [26].…”
Section: Antibiotic Effects On the Microbiomementioning
confidence: 99%
“…Raymond et al studied exactly this in 18 healthy subjects, including six controls, who were administered a 7-day course of cefprozil and had their microbiome assessed using deep sequencing at 0, 7, and 90 days [22]. At baseline (day 0) the subjects were found to broadly fit into four clusters that appeared to be a variation on three previously described enterotypes [26].…”
Section: Antibiotic Effects On the Microbiomementioning
confidence: 99%
“…Average change in abundance ranking between day 7 and day 0 samples for exposed participant. Only the 13 genera for which relative abundance was statistically significant between day 7 and day 0 after antibiotics treatment are displayed (p < 0.05 after Benjamini & Yekutieli false discovery rate correction, see Raymond et al 7 for details). Error bars represent confidence interval at 95%.…”
Section: Comparison Of Microbiomes Using K-mersmentioning
confidence: 99%
“…13 In this new analysis, we compared metagenomes using MERGEM as a filter for resistance gene k-mers, thereby measuring similarity between gut microbiomes based on sequences potentially associated with antibiotic resistance. The Jaccard similarity index calculated between day 7 and day 0 for resistance gene k-mers in participants with antibiotics (39.0%) was significantly lower than controls (64.9%) (p D 0.023, Welch Two Sample t-test) (Fig.…”
Section: Comparison Of Microbiomes Using K-mersmentioning
confidence: 99%
See 1 more Smart Citation
“…Nearly half of these 18 antibiotic resistant threats are health care-associated pathogens and at least five frequently colonize the lower intestinal microbiota of patients. Among the many host and environmental factors that influence the composition of our microbiota, the most significant is the receipt of antibiotics [24]. Treatment with antibiotics eliminates not only pathogenic but also beneficial bacteria, resulting in severe disruption of the intestinal microbiota for an extended period of time (>6 months) [2].…”
mentioning
confidence: 99%