ArticleNature communications2024
The association of maternal factors with the neonatal microbiota and health.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Insights into Microbiota-Vaccine Crosstalk in Humans: Mechanisms, Modulators, and Translational Horizons.Vaccines · 2026Review
- Oral Dysbiosis and Neuroinflammation: Implications for Alzheimer's, Parkinson's and Mood Disorders.Microorganisms · 2026Review
- Microbiota-Driven Immune Dysregulation Along the Gut-Lung-Vascular Axis in Asthma and Atherosclerosis.Biomedicines · 2025Review
- Exploratory study of the oral microbiota in pregnant women with hypothyroidism and their infants.BMC pregnancy and childbirth · 2025Article
- Role of age in mediating the association between the vaginal microbiota and preterm birth.mSystems · 2025Article
- Microbial hallmarks of the respiratory tract in lung cancer: a meta-analysis.Frontiers in microbiomes · 2025Article
- Maternal Milk Orchestrates the Development of Infant Gut Microbiota: Implications for Health and Future Research Directions.Research (Washington, D.C.) · 2025Review
- Microbial beginnings: determinants and disruptions of the neonatal microbiome.Frontiers in microbiology · 2025Review
- Effects of free-position delivery combined with perineal massage on reducing sensitive indicators of care quality in high-risk pregnant women.Frontiers in medicine · 2025Article
- Role of Human Milk Microbiota in Infant Neurodevelopment: Mechanisms and Clinical Implications.Children (Basel, Switzerland) · 2024Review
- Maternal gastrointestinal microbiome shapes gut microbial function and resistome of newborns in a cow-to-calf model.Microbiome · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
The human microbiome plays a crucial role in human health. However, the influence of maternal factors on the neonatal microbiota remains obscure. Herein, our observations suggest that the neonatal microbiotas, particularly the buccal microbiota, change rapidly within 24-48 h of birth but begin to stabilize by 48-72 h after parturition. Network analysis clustered over 200 maternal factors into thirteen distinct groups, and most associated factors were in the same group. Multiple maternal factor groups were associated with the neonatal buccal, rectal, and stool microbiotas. Particularly, a higher maternal inflammatory state and a lower maternal socioeconomic position were associated with a higher alpha diversity of the neonatal buccal microbiota and beta diversity of the neonatal stool microbiota was influenced by maternal diet and cesarean section by 24-72 h postpartum. The risk of admission of a neonate to the newborn intensive care unit was associated with preterm birth as well as higher cytokine levels and probably higher alpha diversity of the maternal buccal microbiota.
Indexed as
Identifiers
What OpenQuestion holds
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.