The impact of postnatal antibiotics on the preterm intestinal microbiome

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Reviewed Marked as Reviewed by ChiomaBlessing on 2024-1-18
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

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, ChiomaBlessing

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

Curated date: 2021/01/10

Curator: Mst Afroza Parvin

Revision editor(s): WikiWorks, ChiomaBlessing

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 ControlLinks
Bacteroides
Lactococcus

Revision editor(s): WikiWorks, ChiomaBlessing

Experiment 2


Reviewed Marked as Reviewed by ChiomaBlessing on 2024-1-18

Curated date: 2024/01/18

Curator: ChiomaBlessing

Revision editor(s): ChiomaBlessing

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