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Our new study reveals toxin exposure patterns
We’re thrilled to share that our paper has been selected as an Editor’s Choice Article in Toxics!
Article: Sensitivity of Urinary Toxicant Co-Exposure Patterns to Demographic Adjustment and Marker Type: A Methodological Analysis, by Basant K Puri & Jean A Monro (Breakspear Medical Group)
What the study is about
We rarely encounter just one environmental toxin at a time and we’re frequently exposed to solvents, pesticides, and industrial chemicals together. Our study looked at urine samples from 551 patients at Breakspear Medical who were being assessed for conditions linked to environmental exposures, such as chronic fatigue, allergies, and recurrent infections.
Three patterns of co-exposure
Using statistical modelling, we identified three consistent “clusters” of co-occurring toxicants:
● Solvent/industrial: xylene & styrene byproducts (found in paints, plastics, and fuel/exhaust-related sources)
● Pesticide/solvent: herbicide & pesticide byproducts
● Mitochondrial/fuel: a marker of cellular stress alongside a petrol additive byproduct, hinting at a possible link between fuel exposure and mitochondrial function
Why this matters methodologically
Importantly, we also determined that these patterns held up after accounting for age and sex differences between patients, staying essentially the same. That’s a meaningful methodological finding as it means that these co-exposure patterns are more likely to reflect real, shared sources of exposure rather than just statistical noise from group differences in the sample.
Every one of these toxicant clusters was identified from a simple urine sample. If you’ve been feeling unwell and wondering whether environmental exposures could be playing a role, this kind of testing can help build a clearer picture of individual toxicants and the broader pattern of exposure you may be carrying.
The takeaway for clinicians is that rather than looking at toxicant levels one at a time, it may be more informative to look at the pattern a patient’s results fall into.
More information
Read the full open-access article: https://www.mdpi.com/2305-6304/14/7/546
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