A Blend of Old and New: Biomonitoring Methods to Study the Exposome

The exposome, a concept introduced in 2005, reflects the totality of chemical and nonchemical exposures that an individual accumulates over a lifetime, beginning during prenatal development. Whereas traditional biomonitoring targets specific analytes to measure in a sample, exposomic approaches include quantifying hundreds or thousands of analytes simultaneously in what is known as untargeted analysis, and meas­ uring an even greater number of metabolites in so­called high­resolution metabolomics. A new commentary in EHP discusses why both tradi­ tional and exposomic approaches are critical to advancing the science of exposure assessment. The commentary is one paper in a six­part series resulting from a workshop held in January 2015. Coauthor David Balshaw, chief of the Exposure, Response, and Technology Branch at the National Institute of Environmental Health Sciences (NIEHS), says that environmental health scientists are increasingly aware of the idea of the exposome, but that some view it with some skepticism—both because of concerns about its untargeted hypothesis­generating approach and because existing technologies are still catching up to the concept of measuring the exposome. “What this series is intended to do is address those concerns—and to say that [exposomics] is still an emerging concept that needs additional capability and additional validation,” Balshaw says. “As I view the exposome and similar untargeted approaches, they are a tool for hypothesis genera­ tion. They do not replace the scientific method; they supplement it.” The authors identified gaps in existing biomonitoring tech­ nology, which formed the basis of eight recommendations dis­ cussed in the commentary for advancing exposomic research. Among these recommendations are conducting untargeted analyses of samples collected previously for traditional targeted chemical studies, creating tools to search across multiple comple­ mentary databases, and developing chemistry methods to detect low­abundance chemicals and differentiate between endogenous and exogenous molecules among the thousands measured in an untargeted analysis. A fourth recommendation is developing bioinformatics tech­ niques to enhance detection of unknown chemicals. Balshaw points to coauthor Gary Patti’s work on untargeted metabolomics as an example of how the recommendations build on existing work. In a 2012 study Patti and colleagues described a way to more efficiently identify metabolites detected through untargeted studies. The authors came up with a database and workflow to automate the processing of the voluminous data produced by such studies. Looking ahead, Balshaw says the NIEHS­led Children’s Health Exposure Analysis Resource (CHEAR) will focus on developing infrastructure to help realize the recommendations in the com­ mentary. Among other services, CHEAR conducts both targeted and untargeted analyses of biosamples collected by children’s health researchers funded by the National Institutes of Health (NIH). Robert Wright, director of the Lautenberg Laboratory for Environmental Health at Mount Sinai’s Icahn School of Medicine, thinks the discussion of current data­processing capacity is the commentary’s key contribution. “This is probably the best paper I’ve ever read in terms of detailing how to measure the exposomics assays, and laying out the bioinformatics challenges as well,” he says. “I think people get caught up in the technology of measuring the assay, but you have to do something with [the data produced].” Wright was not involved in the commentary. For Tracey Woodruff, director of the Program on Reproductive Health and the Environment at the University of California, San Francisco, another important consideration is the potential to iden­ tify chemical signatures—unique patterns of changes in molecules