Presence of a Single Genotype of the Newly Described Species <i>Mycobacterium immunogenum</i> in Industrial Metalworking Fluids Associated with Hypersensitivity Pneumonitis
Bibliographic record
Abstract
Outbreaks of hypersensitivity pneumonitis (HP) among industrial metal-grinding machinists working with water-based metalworking fluids (MWF) have frequently been associated with high levels of mycobacteria in the MWF, but little is known about these organisms. We collected 107 MWF isolates of mycobacteria from multiple industrial sites where HP had been diagnosed and identified them to the species level by a molecular method (PCR restriction enzyme analysis [PRA]). Their genomic DNA restriction fragment length polymorphism (RFLP) patterns, as determined by pulsed-field gel electrophoresis (PFGE), were compared to those of 15 clinical (patient) isolates of the recently described rapidly growing mycobacterial species Mycobacterium immunogenum. A total of 102 of 107 (95%) MWF isolates (from 10 industrial sites within the United States and Canada) were identified as M. immunogenum and gave PRA patterns identical to those of the clinical isolates. Using genomic DNA, PFGE was performed on 80 of these isolates. According to RFLP analysis using the restriction enzymes DraI and XbaI, 78 of 80 (98%) of the MWF isolates represented a single clone. In contrast, none of the 15 clinical isolates had genetic patterns the same as or closely related to those of any of the others. Given the genomic heterogeneity of clinical isolates of M. immunogenum, the finding that a single genotype was present at all industrial sites is remarkable. This suggests that this genotype possesses unusual features that may relate to its virulence and its potential etiologic role in HP and/or to its resistance to biocides frequently used in MWF.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".