Harmonizing analytical chemistry and clinical epidemiology for human biomonitoring studies. A case-study of plastic product chemicals in urine
AL Heffernan, MJ Gomez-Ramos, C Symeonides, DJ Hare, S Vijayasarathy, K Thompson, JF Mueller, AL Ponsonby, PD Sly
Chemosphere | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2020
There is an interdisciplinary interface between analytical chemistry and epidemiology studies with respect to the design, execution, and analysis of environmental epidemiology cohorts and studies. Extracting meaningful results linking chemical exposure to human health outcomes begins at study design and spans the entire workflow. Here we discuss analytical experimental design from an exposure science perspective, and propose a reporting checklist for the design of human biomonitoring studies. We explain key analytical chemistry concepts of blanks and limits of reporting and present a case series of plastic product chemical exposure in prenatal urine specimens from the Barwon Infant Study.
No specific funding was received for this work. The establishment work and infrastructure for the BIS was provided by the Murdoch Childrens Research Institute, Deakin University and Barwon Health. Subsequent funding was secured from the National Health and Medical Research Council of Australia, The Jack Brockhoff Foundation, the Scobie Trust, the Shane O'Brien Memorial Asthma Foundation, the OurWomen's Our Children's Fund Raising Committee Barwon Health, The Shepherd Foundation, the Rotary Club of Geelong, the Ilhan Food Allergy Foundation and GMHBA. Vanguard Investments Australia Ltd provided funding for analysis of plasticizers in biospecimens. In-kind support was provided by the Cotton On Foundation and CreativeForce. Research at Murdoch Childrens Research Institute is supported by the Victorian Government's Operational Infrastructure Support Program. A.L. Heffernan, J. F. Mueller, A.L. Ponsonby and P. Sly receive funding support from the National Health & Medical Research Council (NHMRC; Australia). D. J. Hare is supported by NHMRC Fellowship in partnership with Agilent Technologies. C. Symeonides is supported by a NHMRC PhD scholarship. M. J. Gomez-Ramos acknowledges funding from the Spanish Government for a Ramon y Cajal Research Fellowship.