The impact of postnatal antibiotics on the preterm intestinal microbiome
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Study information
-
Quality control
- Retracted paper
- Contamination issues suspected
- Batch effect issues suspected
- Uncontrolled confounding suspected
- Results are suspect (various reasons)
- Tags applied
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Dardas M, Gill SR, Grier A, Pryhuber GS, Gill AL, Lee YH, Guillet R
Journal
Pediatric research
Year
2014
BACKGROUND: Development of the intestinal microbiome in preterm infants has significant impact on infant health. Our objective was to determine if duration of antibiotics within the first 10 and 30 d after birth affects the intestinal microbiome. METHODS: Subjects were 24 0/7-31 6/7 wk of gestational age who received ≥ 50% breast milk and a total of ≥ 100 ml/kg of feeds by 10 d. Rectal (fecal) swabs were collected at 10 and 30 d and analyzed by 16S rRNA pyrosequencing. At both time points, we examined the rectal microbiome from infants who received only 2 d of antibiotics and those who received at least 7 d of antibiotics. RESULTS: In the 29 infants enrolled in our study, we found a decrease in diversity index from 10 d samples in those who received more antibiotics. Such difference in diversity and richness was not as pronounced in 30 d samples. Firmicutes and Bacteroidetes were most abundant in the 10 d samples. While these two phyla remained dominant in 30 d samples, there was an increase in Proteobacteria and Actinobacteria. CONCLUSION: Despite antibiotic therapy, neonates continued to acquire bacteria in the gastrointestinal tract. The process of bacterial acquisition is perturbed with the use of antibiotics.
Experiment 1
Reviewed Marked as Reviewed by ChiomaBlessing on 2024-1-18
Subjects
- Location of subjects
- United States of America
- 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
- 10 d old 2 day treatment infants
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- 10 d old 7-10 day treatment infants
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Infants who received antibiotics for 7-10 days
- Group 0 sample size Number of subjects in the control (unexposed) group
- 15
- Group 1 sample size Number of subjects in the case (exposed) group
- 12
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- None.
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V1-V3
- Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
- Roche454
Statistical Analysis
- Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
- relative abundances
- Statistical test
- Kruskall-Wallis
- 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
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- delivery procedure
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- decreased
- Richness Number of species
- unchanged
Signature 1
Reviewed Marked as Reviewed by ChiomaBlessing on 2024-1-18
Source: Results within text- Page 4, 3rd paragraph, under subheading "Discussion"
Description: Genus level differential abundance of breast milk–fed infants at age 10 d with 7days of antibiotic treatment
Abundance in Group 1: decreased abundance in 10 d old 7-10 day treatment infants
NCBI | Quality Control | Links |
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Bacteroides | ||
Lactococcus |
Revision editor(s): WikiWorks, ChiomaBlessing
Experiment 2
Reviewed Marked as Reviewed by ChiomaBlessing on 2024-1-18
Differences from previous experiment shown
Subjects
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- 30 d old minimal antibiotics exposure (2 day treatment infants)
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- 30 d old prolonged antibiotics exposure (>=7 day treatment infants)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- prolonged antibiotics exposure (greater than or equal to 7 day treatment infants)
- 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
- 11
Lab analysis
Statistical Analysis
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- unchanged
- Richness Number of species
- unchanged
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