Literature DB >> 24597909

Sources of variability in biomarker concentrations.

Lesa L Aylward1, Sean M Hays, Roel Smolders, Holger M Koch, John Cocker, Kate Jones, Nicholas Warren, Len Levy, Ruth Bevan.   

Abstract

Human biomonitoring has become a primary tool for chemical exposure characterization in a wide variety of contexts: population monitoring and characterization at a national level, assessment and description of cohort exposures, and individual exposure assessments in the context of epidemiological research into potential adverse health effects of chemical exposures. The accurate use of biomonitoring as an exposure characterization tool requires understanding of factors, apart from external exposure level, that influence variation in biomarker concentrations. This review provides an overview of factors that might influence inter- and intraindividual variation in biomarker concentrations apart from external exposure magnitude. These factors include characteristics of the specific chemical of interest, characteristics of the likely route(s) and frequency of exposure, and physiological characteristics of the biomonitoring matrix (typically, blood or urine). Intraindividual variation in biomarker concentrations may be markedly affected by the relationship between the elimination half-life and the intervals between exposure events, as well as by variation in characteristics of the biomonitored media such as blood lipid content or urinary flow rate. Variation across individuals may occur due to differences in time of sampling relative to exposure events, physiological differences influencing urinary flow or creatinine excretion rates or blood characteristics, and interindividual differences in metabolic rate or other factors influencing the absorption or excretion rate of a compound. Awareness of these factors can assist researchers in improving the design and interpretation of biomonitoring studies.

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Year:  2014        PMID: 24597909     DOI: 10.1080/10937404.2013.864250

Source DB:  PubMed          Journal:  J Toxicol Environ Health B Crit Rev        ISSN: 1093-7404            Impact factor:   6.393


  36 in total

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Journal:  Nicotine Tob Res       Date:  2021-02-16       Impact factor: 4.244

Review 2.  Challenges for environmental epidemiology research: are biomarker concentrations altered by kidney function or urine concentration adjustment?

Authors:  Virginia M Weaver; Dennis J Kotchmar; Jeffrey J Fadrowski; Ellen K Silbergeld
Journal:  J Expo Sci Environ Epidemiol       Date:  2015-03-04       Impact factor: 5.563

3.  Associations between urinary diphenyl phosphate and thyroid function.

Authors:  Emma V Preston; Michael D McClean; Birgit Claus Henn; Heather M Stapleton; Lewis E Braverman; Elizabeth N Pearce; Colleen M Makey; Thomas F Webster
Journal:  Environ Int       Date:  2017-02-03       Impact factor: 9.621

Review 4.  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

5.  Bayesian inference of chemical exposures from NHANES urine biomonitoring data.

Authors:  Zachary Stanfield; R Woodrow Setzer; Victoria Hull; Risa R Sayre; Kristin K Isaacs; John F Wambaugh
Journal:  J Expo Sci Environ Epidemiol       Date:  2022-08-17       Impact factor: 6.371

6.  Novel Strategies for Assessing Associations Between Selenium Biomarkers and Cardiometabolic Risk Factors: Concentration, Visit-to-Visit Variability, or Individual Mean? Evidence From a Repeated-Measures Study of Older Adults With High Selenium.

Authors:  Ang Li; Quan Zhou; Yayuan Mei; Jiaxin Zhao; Meiduo Zhao; Jing Xu; Xiaoyu Ge; Qun Xu
Journal:  Front Nutr       Date:  2022-05-30

7.  CO-occurring exposure to perchlorate, nitrate and thiocyanate alters thyroid function in healthy pregnant women.

Authors:  Megan K Horton; Benjamin C Blount; Liza Valentin-Blasini; Ronald Wapner; Robin Whyatt; Chris Gennings; Pam Factor-Litvak
Journal:  Environ Res       Date:  2015-09-25       Impact factor: 6.498

8.  Cluster analysis of urinary tobacco biomarkers among U.S. adults: Population Assessment of Tobacco and Health (PATH) biomarker study (2013-2014).

Authors:  Ban Majeed; Daniel Linder; Thomas Eissenberg; Yelena Tarasenko; Danielle Smith; David Ashley
Journal:  Prev Med       Date:  2020-07-18       Impact factor: 4.018

9.  Contemporary Issues in Exposure Assessment Using Biomonitoring.

Authors:  Antonia M Calafat
Journal:  Curr Epidemiol Rep       Date:  2016-06

10.  Variability in urinary neonicotinoid concentrations in single-spot and first-morning void and its association with oxidative stress markers.

Authors:  Adela Jing Li; Maria-Pilar Martinez-Moral; Kurunthachalam Kannan
Journal:  Environ Int       Date:  2019-12-21       Impact factor: 9.621

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