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Published on: January 9, 2026
Novel developmental analyses identify longitudinal patterns of early gut microbiota that affect infant growth
Richard A White1, Jørgen V Bjørnholt, Donna D Baird
1Department of Genes and Environment, Division of Epidemiology, Norwegian Institute of Public Health, Oslo, Norway.
Insights
Early infant gut bacteria, including Staphylococcus and Escherichia coli, are linked to growth patterns. Understanding these gut microbiome developments is key to addressing childhood obesity.
Area of Science:
- Microbiology
- Pediatric Health
- Obesity Research
Background:
- Rapid infant weight gain is a risk factor for adult obesity.
- The gut microbiome is increasingly implicated in obesity development.
- Identifying early life factors influencing obesity is crucial for public health.
Purpose of the Study:
- To investigate the association between early gut microbiota development and infant growth.
- To identify specific microbial patterns linked to expected infant growth trajectories.
Main Methods:
- Development of a novel procedure for analyzing longitudinal gut microbiota patterns.
- Application of a method controlling for false discovery rate to identify significant microbial associations.
- Comparison of novel method findings with traditional statistical approaches.
Main Results:
- Identified developmental pathways of Staphylococcus and Escherichia coli associated with expected infant growth.
- Traditional methods indicated Bacteroides species at day 30 were associated with growth.
- The novel method offers a robust approach for studying gut microbiome development.
Conclusions:
- Early gut microbiota composition and its developmental patterns are associated with infant growth.
- Understanding the timing of microbiome transitions is critical for interventions targeting early-life obesity.
- The developed method has broad applicability for future gut microbiota research and translational studies.
Abstract:
It is acknowledged that some obesity trajectories are set early in life, and that rapid weight gain in infancy is a risk factor for later development of obesity. Identifying modifiable factors associated with early rapid weight gain is a prerequisite for curtailing the growing worldwide obesity epidemic. Recently, much attention has been given to findings indicating that gut microbiota may play a role in obesity development. We aim at identifying how the development of early gut microbiota is associated with expected infant growth. We developed a novel procedure that allows for the identification of longitudinal gut microbiota patterns (corresponding to the gut ecosystem developing), which are associated with an outcome of interest, while appropriately controlling for the false discovery rate. Our method identified developmental pathways of Staphylococcus species and Escherichia coli that were associated with expected growth, and traditional methods indicated that the detection of Bacteroides species at day 30 was associated with growth. Our method should have wide future applicability for studying gut microbiota, and is particularly important for translational considerations, as it is critical to understand the timing of microbiome transitions prior to attempting to manipulate gut microbiota in early life.
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