ArticleBMJ open2020
Study protocol for the ABERRANT study: antibiotic-induced disruption of the maternal and infant microbiome and adverse health outcomes - a prospective cohort study among children born at term.
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04091282 (Antibiotic-induced Disruption of the Maternal and Infant Microbiota and Adverse Health Outcomes - The ABERRANT Study), which is not on this map. Cited by 9 papers.
What it found
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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.
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.
Antibiotic-induced Disruption of the Maternal and Infant Microbiota and Adverse Health Outcomes - The ABERRANT Study
Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- Perinatal antibiotic exposure and infant sleep behavior: findings from the ABERRANT study.Pediatric research · 2026Article
- Association between antibiotic exposure and childhood atopic dermatitis: a systematic review and meta-analysis.EClinicalMedicine · 2025Article
- Influence of gut microbiota on the pediatric endocrine system and associated disorders.Annals of medicine and surgery (2012) · 2025Review
- Article
- Gut phages and their interactions with bacterial and mammalian hosts.Journal of bacteriology · 2025Review
- Article
- Effects of Perinatal Antibiotic Exposure and Neonatal Gut Microbiota.Antibiotics (Basel, Switzerland) · 2023Review
- C-reactive protein point-of-care testing and complementary strategies to improve antibiotic stewardship in children with acute respiratory infections in primary care.Frontiers in pediatrics · 2023Article
- Comparison of Two Approaches for the Metataxonomic Analysis of the Human Milk Microbiome.Frontiers in cellular and infection microbiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThere is compositional overlap between the maternal intestinal microbiome, the breast milk microbiome and the infant oral and intestinal microbiome. Antibiotics cause profound changes in the microbiome. However, the effect of intrapartum and early-life antibiotics on the maternal intestinal and breast milk microbiome, and the infant oral and intestinal microbiome, and whether effects are only short term or persist long term remain uncertain. METHODS AND ANALYSES: In this prospective cohort study, we will use metagenomic sequencing to determine: (1) the effect of intrapartum antibiotics on the composition of the breast milk, and the infant oral and intestinal microbiome, including the development and persistence of antibiotic resistance; (2) the effect of antibiotic exposure in the first year of life on the composition of the infant oral and intestinal microbiome, including the development and persistence of antibiotic resistance; (3) the effect of disruption of the infant oral and intestinal microbiome on health outcomes and (4) the compositional overlap between the maternal intestinal microbiome, the breast milk microbiome and the infant oral and intestinal microbiome. ETHICS AND DISSEMINATION: The ABERRANT study has been approved by the commission cantonale d'éthique de la recherche sur l'être humain (CER-VD) du Canton de Vaud (#2019-01567). Outcomes will be disseminated through publication and will be presented at scientific conferences. TRIAL REGISTRATION NUMBER: NCT04091282.
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Registered trials
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.