Toward a more holistic approach to the study of exposures and child outcomes
Barry M Lester1,2,3, Marie Camerota2,3, Todd M Everson4
1Department of Pediatrics, Brown Alpert Medical School & Women & Infants Hospital, Providence, RI 02905, USA.
Insights
This study used the exposome framework to analyze how various exposures impact neurodevelopment in preterm infants. Findings reveal connections between environmental exposures, epigenetics, and executive function development.
Area of Science:
- Environmental Health
- Developmental Pediatrics
- Epigenetics
Background:
- Understanding long-term neurodevelopmental and behavioral outcomes in children is crucial.
- The exposome framework offers a comprehensive approach to studying environmental influences.
- Preterm infants face unique challenges that can affect their development.
Purpose of the Study:
- To demonstrate the application of the exposome framework in assessing exposure-outcome associations.
- To examine the relationship between a wide range of exposures and neurodevelopmental outcomes in preterm children.
- To explore the role of epigenetics in mediating these associations.
Main Methods:
- Longitudinal data collected from 402 preterm infants from birth to age 6.
- Utilized three statistical methods: exposome-wide association study, cumulative exposure, and machine learning models.
- Incorporated epigenetic data (e.g., DNA methylation) alongside external exposure data.
Main Results:
- Each statistical method provided distinct insights into exposure impacts on child development.
- Identified significant associations between various exposures, epigenetics, and executive function.
- Demonstrated the interplay between internal and external exposures and developmental trajectories.
Conclusions:
- The exposome framework effectively elucidates complex relationships between exposures and child development.
- Findings highlight the importance of considering both internal and external exposures for preterm infant neurodevelopment.
- This approach can inform targeted interventions to improve long-term outcomes in vulnerable populations.
Abstract:
Aim: The current work was designed to demonstrate the application of the exposome framework in examining associations between exposures and children's long-term neurodevelopmental and behavioral outcomes. Methods: Longitudinal data were collected from birth through age 6 from 402 preterm infants. Three statistical methods were utilized to demonstrate the exposome framework: exposome-wide association study, cumulative exposure and machine learning models, with and without epigenetic data. Results: Each statistical approach answered a distinct research question regarding the impact of exposures on longitudinal child outcomes. Findings highlight associations between exposures, epigenetics and executive function. Conclusion: Findings demonstrate how an exposome-based approach can be utilized to understand relationships between internal (e.g., DNA methylation) and external (e.g., prenatal risk) exposures and long-term developmental outcomes in preterm children.
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