“Across the United States, there is increased use of cannabis products and electronic delivery systems for cannabis products and nicotine, yet little is known about their impacts on lung health.
We analyzed exhaled breath condensate of 254 participants who were non-users and users who used cannabis and tobacco products. The 132 participants reported using a product (“users”) were distributed into cohorts of tobacco products and cannabis products, with some participants following into multiple cohorts.
Targeted analysis of inflammatory oxylipins found up-regulation among persons using tobacco products, while cannabis users had concentrations closer to nonusers, and often down-regulated.
Untargeted screening of 403 significant metabolites found tobacco users had similar breath profiles, and that cannabis users had a similar profile that was closer to the profile of nonusers.
Metabolites were significantly higher in breath of people using combustion products (tobacco and cannabis) relative to nonusers, and significantly lower in e-device users (nicotine and THC). Our work demonstrates the relative impact of e-delivery systems and cannabis products compared to traditional cigarette smoking on lung metabolic profiles.”
https://pubmed.ncbi.nlm.nih.gov/39984952/
“Analysis of exhaled breath condensate was used to compare human metabolomic information of persons using tobacco and cannabis related products. Targeted measurements of oxylipin inflammatory markers found significant up-regulation among those using tobacco products relative to nonusers.
Cannabis users exhibited oxylipin levels closer to and often downregulated compared to nonusers. However, direct links to clinical outcomes such as lung disease or respiratory dysfunction were not established, limiting conclusions about the clinical impact of these biomarkers.
Untargeted screening of breath metabolites found that users of cigarettes, nicotine vapes, and any tobacco product had similar metabolite profiles, whereas cannabis smokers, vapers, and product users had a profile that was more similar to nonusers.”
https://respiratory-research.biomedcentral.com/articles/10.1186/s12931-025-03147-3