(HealthDay)—Machine learning approaches to metabolite analysis can predict key pathways contributing to lung function loss associated with World Trade Center Lung Injury (WTC-LI), according to a small study published online Sept. 3 in BMJ Open Respiratory Research.

George Crowley, from New York University in New York City, and colleagues quantified the metabolome of serum for never-smoking, male, WTC-exposed firefighters with normal pre-9/11 lung function, drawn within six months after 9/11. Cases of WTC-LI (forced expiratory volume in 1s

Source: Metabolite analysis IDs pathways associated with WTC-lung injury