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Related Experiment Video

Updated: Jan 25, 2026

Preclinical Model of Prenatal Delta-9-Tetrahydrocannabinol Exposure to Assess Its Impact on Neurodevelopmental Outcomes

Preclinical Model of Prenatal Delta-9-Tetrahydrocannabinol Exposure to Assess Its Impact on Neurodevelopmental Outcomes

Published on: February 28, 2025

Contemporary Issues in Exposure Assessment Using Biomonitoring.

Antonia M Calafat¹

¹Centers for Disease Control and Prevention, 4770 Buford Hwy, MS F17, Atlanta, GA 30341, USA.

Current Epidemiology Reports

|September 9, 2017

Summary

Biomonitoring in environmental epidemiology requires careful study design. Proper protocol design ensures biospecimens accurately reflect chemical exposures and temporal variations for reliable data interpretation.

Keywords:

Biomarker External quality assessment Pools Standard reference material Variability

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Area of Science:

Environmental epidemiology
Biomonitoring
Exposure assessment

Background:

Biomonitoring, the measurement of chemicals in biospecimens, is increasingly used in environmental epidemiology.
Accurate exposure assessment relies on biomarkers reflecting chemical exposure within a specific timeframe.
Unknown exposure timing, duration, and intensity complicate interpretation, often necessitating multiple biospecimen collections.

Purpose of the Study:

To discuss the relevance of exposure assessment study protocol design.
To ensure biomonitoring specimens accurately reflect intended chemical exposures.
To address the temporal variability of biomarker concentrations.

Main Methods:

Review of biomonitoring principles in environmental epidemiology.
Discussion of factors influencing biomarker data interpretation.
Emphasis on study protocol design for temporal exposure assessment.

Main Results:

Study protocol design is crucial for accurate exposure assessment using biomonitoring.
Consideration of temporal variability in biomarker concentrations is essential.
Sample collection and processing significantly impact biospecimen integrity and data validity.

Conclusions:

Effective biomonitoring requires robust study protocols.
Protocols must account for exposure variability and biomarker dynamics.
Proper interpretation of biomonitoring data hinges on meticulous study design.