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Early-life microbiota in the LIMIT cohort: unveiling meconium microbiota types beyond maternal lifestyle
Dana El Masri1, Niccolò Meriggi2, Federica Loperfido1
1Laboratory of Dietetics and Clinical Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy.
Introduction:
Early gut microbiota development plays an important role in lifelong human health, and meconium offers a unique matrix to understand prenatal microbial exposures. This study from the LIMIT cohort aimed at investigating associations between maternal pre-pregnancy body mass index (pre-BMI) and gestational weight gain (GWG), as well as other maternal lifestyle and environmental factors, with the structure of meconium microbiota at delivery.
Methods:
Two hundred pregnant women were enrolled during the pre-hospital care before birth at Fondazione IRCCS Policlinico San Matteo (Pavia), according to the inclusion/exclusion criteria. Mothers were grouped based on their GWG gain category according to the IOM guidelines. 168 meconium samples were analyzed using a targeted long-reads sequence approach. Bacterial 16S rRNA (V1-V8) amplicons were sequenced using the Oxford Nanopore PromethION platform. Supervised analyses assessed associations between maternal variables and bacterial diversity, while an unsupervised learning approach based on the Partitioning Around Medoids (PAM) clustering algorithm was applied to identify specific microbial clusters unrelated to the cohort's metadata.
Results:
No significant associations were observed between GWG, pre-BMI or other lifestyle factors and overall microbial diversity. Unsupervised learning revealed five distinct meconium microbial clusters, i.e. "microbiota-types", related to different taxonomic profiles, determined by the variations in specific bacterial species.
Conclusion:
No significant influence of the studied variables was observed on meconium microbiota. However, the meconium microbial communities appear to organize into enterotype-like structures, highlighting the need for longitudinal studies to identify key determinants of early colonization.
Insights
Maternal factors like pre-pregnancy BMI and gestational weight gain did not significantly alter meconium microbiota diversity. However, distinct microbial clusters were identified, suggesting enterotype-like structures in early gut colonization.
Area of Science:
- Microbiome Research
- Human Health
- Prenatal Development
Background:
- Early gut microbiota is crucial for lifelong health.
- Meconium provides insights into prenatal microbial exposure.
- Maternal factors may influence infant gut microbiome development.
Purpose of the Study:
- Investigate associations between maternal pre-pregnancy BMI, gestational weight gain (GWG), and lifestyle factors with meconium microbiota structure.
- Identify distinct microbial clusters within meconium samples.
Main Methods:
- Analysis of 168 meconium samples using targeted long-read sequencing (Oxford Nanopore PromethION).
- Bacterial 16S rRNA (V1-V8) amplicon sequencing.
- Supervised and unsupervised learning (Partitioning Around Medoids - PAM) to analyze associations and identify microbial clusters.
Main Results:
- No significant associations found between GWG, pre-BMI, or lifestyle factors and overall meconium microbial diversity.
- Unsupervised learning identified five distinct meconium microbial clusters ('microbiota-types') with unique taxonomic profiles.
Conclusions:
- Studied maternal variables did not significantly influence meconium microbiota composition.
- Meconium microbial communities exhibit enterotype-like structures.
- Longitudinal studies are needed to determine key factors in early gut colonization.
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