Literature DB >> 29155925

Invited Commentary: Exposure Biomarkers Indicate More Than Just Exposure.

David A Savitz1,2,3, Gregory A Wellenius1.   

Abstract

Biomarkers of environmental exposures have notable strengths in integrating information across diverse sources and routes of exposure and providing a marker reflecting biological dose. However, the physiological determinants of biomarker toxicokinetics and measured levels may also affect or be affected by disease determinants and thus introduce confounding. In a study published in this issue of the Journal, Sagiv et al. (Am J Epidemiol. 2018;187(4):793-802) sought empirical evidence on the role of renal clearance in biasing the association between perfluoroalkyl compounds measured in plasma during pregnancy and infant birth weight. They found little empirical support for such bias. The risk of such bias is greater when the exposure and health outcome are assessed closely in time, when physiological differences are large relative to variability in environmental levels, and when the physiological determinant has diverse functions and implications. While empirical examination has value, the potential bias is difficult to measure and control when the underlying associations among exposure biomarker, health outcome, and physiological determinant are weak.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29155925     DOI: 10.1093/aje/kwx333

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  3 in total

1.  RE: "INVITED COMMENTARY: EXPOSURE BIOMARKERS INDICATE MORE THAN JUST EXPOSURE".

Authors:  Joseph M Braun
Journal:  Am J Epidemiol       Date:  2018-04-01       Impact factor: 4.897

Review 2.  Understanding the dynamics of physiological changes, protein expression, and PFAS in wildlife.

Authors:  Jacqueline Bangma; T C Guillette; Paige A Bommarito; Carla Ng; Jessica L Reiner; Andrew B Lindstrom; Mark J Strynar
Journal:  Environ Int       Date:  2021-12-09       Impact factor: 9.621

3.  Effects of gestational exposures to chemical mixtures on birth weight using Bayesian factor analysis in the Health Outcome and Measures of Environment (HOME) Study.

Authors:  Liheng H Zhuang; Aimin Chen; Joseph M Braun; Bruce P Lanphear; Janice M Y Hu; Kimberly Yolton; Lawrence C McCandless
Journal:  Environ Epidemiol       Date:  2021-06-08
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.