Short-term effect of antibiotics on human gut microbiota

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Reviewed Marked as Reviewed by ChiomaBlessing on 2024-1-20
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Panda S, El khader I, Casellas F, López Vivancos J, García Cors M, Santiago A, Cuenca S, Guarner F, Manichanh C
Journal
PloS one
Year
2014
From birth onwards, the human gut microbiota rapidly increases in diversity and reaches an adult-like stage at three years of age. After this age, the composition may fluctuate in response to external factors such as antibiotics. Previous studies have shown that resilience is not complete months after cessation of the antibiotic intake. However, little is known about the short-term effects of antibiotic intake on the gut microbial community. Here we examined the load and composition of the fecal microbiota immediately after treatment in 21 patients, who received broad-spectrum antibiotics such as fluoroquinolones and β-lactams. A fecal sample was collected from all participants before treatment and one week after for microbial load and community composition analyses by quantitative PCR and pyrosequencing of the 16S rRNA gene, respectively. Fluoroquinolones and β-lactams significantly decreased microbial diversity by 25% and reduced the core phylogenetic microbiota from 29 to 12 taxa. However, at the phylum level, these antibiotics increased the Bacteroidetes/Firmicutes ratio (p = 0.0007, FDR = 0.002). At the species level, our findings unexpectedly revealed that both antibiotic types increased the proportion of several unknown taxa belonging to the Bacteroides genus, a Gram-negative group of bacteria (p = 0.0003, FDR<0.016). Furthermore, the average microbial load was affected by the treatment. Indeed, the β-lactams increased it significantly by two-fold (p = 0.04). The maintenance of or possible increase detected in microbial load and the selection of Gram-negative over Gram-positive bacteria breaks the idea generally held about the effect of broad-spectrum antibiotics on gut microbiota.

Experiment 2


Reviewed Marked as Reviewed by ChiomaBlessing on 2024-1-19

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, ChiomaBlessing

Differences from previous experiment shown

Subjects

Location of subjects
Spain
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Antimicrobial agent antibiotic,antibiotics,Antibiotika,Antibiotikum,antibiotique,antimicrobial,antimicrobial agents,microbicide,microbicides,Antimicrobial agent,antimicrobial agent
Group 0 name Corresponds to the control (unexposed) group for case-control studies
before antibiotic exposure
Group 1 name Corresponds to the case (exposed) group for case-control studies
patients that took levofloxacin
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
took levofloxacin for 7 days
Group 0 sample size Number of subjects in the control (unexposed) group
8
Group 1 sample size Number of subjects in the case (exposed) group
8
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
2 months

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V4
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Roche454, RT-qPCR

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
ANOVA
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
Yes

Alpha Diversity

Chao1 Abundance-based estimator of species richness
decreased
Richness Number of species
decreased

Signature 1

Reviewed Marked as Reviewed by ChiomaBlessing on 2024-1-19

Curated date: 2021/01/10

Curator: Gina Celentano

Revision editor(s): WikiWorks, ChiomaBlessing

Source: Supporting Info file: Table S2

Description: Microbial taxa affected by levofloxacin, before and after exposure

Abundance in Group 1: increased abundance in patients that took levofloxacin

NCBI Quality ControlLinks
Phocaeicola plebeius
unclassified Bacteroides
unclassified Coprococcus
unclassified Oscillospiraceae

Revision editor(s): WikiWorks, ChiomaBlessing

Signature 2

Reviewed Marked as Reviewed by ChiomaBlessing on 2024-1-19

Curated date: 2021/01/10

Curator: Gina Celentano

Revision editor(s): WikiWorks, ChiomaBlessing

Source: Supporting Info file: Table S2

Description: Microbial taxa affected by levofloxacin, before and after exposure

Abundance in Group 1: decreased abundance in patients that took levofloxacin

NCBI Quality ControlLinks
unclassified Blautia

Revision editor(s): WikiWorks, ChiomaBlessing