An Empirical Validation of the Within-subject Biospecimens Pooling Approach to Minimize Exposure Misclassification in Biomarker-based Studies

Details

• Alternative Title:
  Epidemiology
• Personal Author:
  Vernet, Céline ; Philippat, Claire ; Agier, Lydiane ; Calafat, Antonia M. ; Ye, Xiaoyun ; Lyon-Caen, Sarah ; Hainaut, Pierre ; Siroux, Valérie ; Schisterman, Enrique F. ; Slama, Rémy
• Description:
  Background:
  
  Within-subject biospecimens pooling can theoretically reduce bias in dose–response functions from biomarker-based studies when exposure assessment suffers from classical-type error. However, collecting many urine voids each day is cumbersome. We evaluated the empirical validity of a within-subject pooling approach and compared several options to avoid sampling each void.
  
  Methods:
  
  In 16 pregnant women who collected a spot of each urine void over several nonconsecutive weeks, we compared concentrations of 10 phenols in daily, weekly, and pregnancy within-subject pools. We pooled either three or all daily samples. In a simulation study using these data, we quantified bias in dose–response functions when using one to 20 urine samples per subject to assess methylparaben (a compound with moderate within-subject variability) and bisphenol A (high variability) exposures.
  
  Results:
  
  Correlations between exposure estimates from pools of all and of only three voids per day were above 0.80 for all time windows and compounds, except for benzophenone-3 and triclosan in the daily time window (correlations, 0.57–0.68). With one spot sample to assess pregnancy exposure, correlations were all below 0.74. Using only one biospecimen led to attenuation bias in the dose–response functions of 29% (methylparaben) and 69% (bisphenol A); four samples for methylparaben and 18 for bisphenol A decreased bias to 10%.
  
  Conclusions:
  
  For nonpersistent chemicals, collecting and pooling three samples per day instead of all daily samples efficiently estimates exposures over a week or more. Collecting around 20 biospecimens can strongly limit attenuation bias for nonpersistent chemicals such as bisphenol A.
  
  
• Subjects:
  Adult Article Attenuation Bias Bias Biomarkers Environmental Exposure Environmental Monitoring Environmental Pollutants Epidemiologic Research Design Exposure Assessment Exposure Biomarkers Female Follow-Up Studies Humans Measurement Error Phenols Pooling Pregnancy Reproducibility Of Results Sampling Design Within-subject Variability

  More +
• Source:
  Epidemiology. 30(5):756-767
• Pubmed ID:
  31373935
• Pubmed Central ID:
  PMC8988263
• Document Type:
  Journal Article
• Funding:
  CC999999/ImCDC/Intramural CDC HHSUnited States/
• Volume:
  30
• Issue:
  5
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:f9605291a53bf73fd59502862c00021b84d42417b4e3a110d403ad42e3dea9f9
• Download URL:
  https://stacks.cdc.gov/view/cdc/116095/cdc_116095_DS1.pdf
• File Type:
  [PDF - 874.17 KB ]