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Record W2117621968 · doi:10.1186/1710-1492-10-s1-a31

Impact of perinatal antibiotic exposure on the infant gut microbiota at one year of age

2014· article· en· W2117621968 on OpenAlexaffvenueabout
Ryan R. Persaud, Meghan B. Azad, Theodore Konya, David S. Guttman, Radha Chari, Malcolm R. Sears, Allan B. Becker, James A. Scott, Anita L. Kozyrskyj

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsMcMaster UniversityPublic Health OntarioUniversity of TorontoUniversity of AlbertaUniversity of Manitoba
Fundersnot available
KeywordsAntibioticsGut floraMedicineBiologyMicrobiologyImmunology

Abstract

fetched live from OpenAlex

Disruption of the infant gut microbiota has been linked to long-term health outcomes, including obesity and allergic disease [ 1 ]. Antibiotics can significantly alter the microbiota [ 2 ], but evidence is scarce for the long-term effect of antibiotic exposure during the perinatal period (shortly before or after delivery). Our research aimed to determine the impact of infant and maternal perinatal antibiotic exposure on the infant gut microbiota at 1 year of age. Antibiotic exposure in the perinatal period was documented by retrospective hospital chart review of 184 Manitoban infants enrolled in the Canadian Healthy Infant Longitudinal Development (CHILD) Study. Data on mode of delivery, indications for treatment, and maternal health status were also collected. Gut microbiota composition (relative abundance of select taxa chosen for their previous association with antibiotic exposure or health outcomes) was determined by Illumina 16S rRNA sequencing of fecal samples collected at 1 year of age. Microbiota diversity was characterized using Chao1 Richness Estimator, Shannon Diversity Index, and Simpson Diversity Index. Of the 184 infants, 8 (4.4%) received intravenous antibiotics during the perinatal period for suspected sepsis. Seventy-two (39.1%) mothers received antibiotics shortly before or after delivery, resulting in indirect antibiotic exposure of the infant via placental transfer or breast milk. Indirect perinatal antibiotic exposure did not alter the 1 year old infant’s overall microbiota diversity; however, these infants had an increased relative abundance of Clostridium (p=0.04). Infants who were both directly and indirectly exposed to antibiotics had increased microbiota diversity at 1 year of age (p<0.03 for Shannon and Simpson diversity indices computed at Family and Genus levels). These infants also had a lower relative abundance of the phylum Bacteriodetes (p=0.03), and increased relative abundance of the genus Akkermansia (p=0.03) and the phylum Proteobacteria (p=0.02). Similar trends were observed following stratification by mode of delivery, premature rupture of membranes, presence of Group B Streptococcus , breastfeeding, and postnatal antibiotics (throughout the first year); except for the decrease in Bacteroidetes, which was attenuated in breastfed infants. Antibiotics administered at birth are associated with long-lasting changes to the infant gut microbiota, increasing overall diversity and modifying community composition until at least 1 year of age. Maternal perinatal antibiotics may also influence infant gut microbiota composition. Going forward, we will conduct comprehensive microbiota analyses and investigate how antibiotic-associated changes ultimately influence health outcomes during later childhood.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.295
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2014
Admission routes3
Has abstractyes

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