TY - JOUR T1 - Metal worker’s lung: spatial association with <em>Mycobacterium avium</em> JF - Thorax JO - Thorax DO - 10.1136/thoraxjnl-2017-210226 SP - thoraxjnl-2017-210226 AU - Phillip L James AU - Julie Cannon AU - Christopher M Barber AU - Laura Crawford AU - Heather Hughes AU - Meinir Jones AU - Joanna Szram AU - Steven Cowman AU - William O C Cookson AU - Miriam F Moffatt AU - Paul Cullinan Y1 - 2017/08/29 UR - http://thorax.bmj.com/content/early/2017/08/29/thoraxjnl-2017-210226.abstract N2 - Background Outbreaks of hypersensitivity pneumonitis (HP) are not uncommon in workplaces where metal working fluid (MWF) is used to facilitate metal turning. Inhalation of microbe-contaminated MWF has been assumed to be the cause, but previous investigations have failed to establish a spatial relationship between a contaminated source and an outbreak.Objectives After an outbreak of five cases of HP in a UK factory, we carried out blinded, molecular-based microbiological investigation of MWF samples in order to identify potential links between specific microbial taxa and machines in the outbreak zone.Methods Custom-quantitative PCR assays, microscopy and phylogenetic analyses were performed on blinded MWF samples to quantify microbial burden and identify potential aetiological agents of HP in metal workers.Measurements and main results MWF from machines fed by a central sump, but not those with an isolated supply, was contaminated by mycobacteria. The factory sump and a single linked machine at the centre of the outbreak zone, known to be the workstation of the index cases, had very high levels of detectable organisms. Phylogenetic placement of mycobacterial taxonomic marker genes generated from these samples indicated that the contaminating organisms were closely related to Mycobacterium avium.Conclusions We describe, for the first time, a close spatial relationship between the abundance of a mycobacterium-like organism, most probably M. avium, and a localised outbreak of MWF-associated HP. The further development of sequence-based analytic techniques should assist in the prevention of this important occupational disease. ER -