Evidence map›Paper›PMID 28194448›Full record

ArticlemSphere

Divergent Relationships between Fecal Microbiota and Metabolome following Distinct Antibiotic-Induced Disruptions.

Jocelyn M Choo, Tokuwa Kanno, Nur Masirah Mohd Zain, Lex E X Leong, Guy C J Abell, Julie E Keeble, Kenneth D Bruce, A James Mason, Geraint B Rogers

Open access · goldAbstract read
In one paragraph

Article in mSphere. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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  20. Microbiome: an emerging new frontier in graft‑versus‑host disease.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Jocelyn M ChooInfection and Immunity Theme, South Australia Health and Medical Research Institute, North Terrace, Adelaide, SA, Australia; School of Medicine, Flinders University, Bedford Park, Adelaide, SA, Australia.
Tokuwa KannoKing's College London, Institute of Pharmaceutical Science, London, United Kingdom.
Nur Masirah Mohd ZainKing's College London, Institute of Pharmaceutical Science, London, United Kingdom.
Lex E X LeongInfection and Immunity Theme, South Australia Health and Medical Research Institute, North Terrace, Adelaide, SA, Australia; School of Medicine, Flinders University, Bedford Park, Adelaide, SA, Australia.
Guy C J AbellSchool of Medicine, Flinders University, Bedford Park, Adelaide, SA, Australia.
Julie E KeebleKing's College London, Institute of Pharmaceutical Science, London, United Kingdom.
Kenneth D BruceKing's College London, Institute of Pharmaceutical Science, London, United Kingdom.
A James MasonKing's College London, Institute of Pharmaceutical Science, London, United Kingdom.
Geraint B RogersInfection and Immunity Theme, South Australia Health and Medical Research Institute, North Terrace, Adelaide, SA, Australia; School of Medicine, Flinders University, Bedford Park, Adelaide, SA, Australia.
King's College London · GBFlinders University · AUSouth Australian Health and Medical Research Institute · AU

Funding

Wellcome Trust
6 · The paper itself

Abstract

The intestinal microbiome plays an essential role in regulating many aspects of host physiology, and its disruption through antibiotic exposure has been implicated in the development of a range of serious pathologies. The complex metabolic relationships that exist between members of the intestinal microbiota and the potential redundancy in functional pathways mean that an integrative analysis of changes in both structure and function are needed to understand the impact of antibiotic exposure. We used a combination of next-generation sequencing and nuclear magnetic resonance (NMR) metabolomics to characterize the effects of two clinically important antibiotic treatments, ciprofloxacin and vancomycin-imipenem, on the intestinal microbiomes of female C57BL/6 mice. This assessment was performed longitudinally and encompassed both antibiotic challenge and subsequent microbiome reestablishment. Both antibiotic treatments significantly altered the microbiota and metabolite compositions of fecal pellets during challenge and recovery. Spearman's correlation analysis of microbiota and NMR data revealed that, while some metabolites could be correlated with individual operational taxonomic units (OTUs), frequently multiple OTUs were associated with a significant change in a given metabolite. Furthermore, one metabolite, arginine, can be associated with increases/decreases in different sets of OTUs under differing conditions. Taken together, these findings indicate that reliance on shifts in one data set alone will generate an incomplete picture of the functional effect of antibiotic intervention. A full mechanistic understanding will require knowledge of the baseline microbiota composition, combined with both a comparison and an integration of microbiota, metabolomics, and phenotypic data.

Indexed as

beta-lactamfluoroquinoloneglycopeptidemetabolic activitymicrobiota composition

Identifiers

PMID28194448
PMCPMC5299068
OpenAlexW2586457957

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.