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Distinguishing the common components of oil- and water-based metalworking fluids for assessment of cancer incidence risk in autoworkers.

ABSTRACT: Metalworking fluids (MWF)--straight, soluble, and synthetic--have overlapping components. We derived constituent-based metrics of polycyclic aromatic hydrocarbons (PAHs), water-based MWF, biocides, and nitrosamines to account for this overlap and examined their relations with cancer incidence.An autoworkers cohort of 30,000 was followed for cancer incidence. Hazard ratios were estimated for each cancer and cumulative exposure (lagged) to each new metric; soluble MWF contributed variably to several metrics with weight k?=?0-1.For most cancer sites, the constituent-based metrics resulted in stronger exposure-disease associations than the MWF classes alone. Laryngeal and bladder cancer were most strongly associated with PAH (k?=?0). Protective effects for stomach and lung cancer were observed with biocide, a component that may be a surrogate for endotoxin.Our findings provide support and clarification of possible etiologies for previous positive associations and provide support for distinguishing exposure from oil- and water-based MWF in epidemiologic studies.

SUBMITTER: Friesen MC

PROVIDER: S-EPMC3301446 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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Distinguishing the common components of oil- and water-based metalworking fluids for assessment of cancer incidence risk in autoworkers.

Friesen Melissa C MC Costello Sadie S Thurston Sally W SW Eisen Ellen A EA

American journal of industrial medicine 20110215 6

<h4>Background</h4>Metalworking fluids (MWF)--straight, soluble, and synthetic--have overlapping components. We derived constituent-based metrics of polycyclic aromatic hydrocarbons (PAHs), water-based MWF, biocides, and nitrosamines to account for this overlap and examined their relations with cancer incidence.<h4>Methods</h4>An autoworkers cohort of 30,000 was followed for cancer incidence. Hazard ratios were estimated for each cancer and cumulative exposure (lagged) to each new metric; solubl ...[more]

PMID: 21328414

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Project description:Fungal contamination of metalworking fluids (MWF) is a dual problem in automated processing plants because resulting fungal biofilms obstruct cutting, drilling, and polishing machines. Moreover, some fungal species of MWF comprise pathogens such as Fusarium solani Therefore, the development of an accurate analytical tool to evaluate conidial viability in MWF is important. We developed a flow cytometric method to measure fungal viability in MWF using F. solani as the model organism. To validate this method, viable and dead conidia were mixed in several proportions and flow was cytometrically analyzed. Subsequently, we assessed the fungicidal activity of two commercial MWF using flow cytometry (FCM) and compared it with microscopic analyses and plating experiments. We evaluated the fungal growth in both MWF after 7 days using quantitative PCR (qPCR) to assess the predictive value of FCM. Our results showed that FCM distinguishes live from dead conidia as early as 5 h after exposure to MWF, whereas the microscopic germination approach detected conidial viability much later and less accurately. At 24 h, microscopic analyses of germinating conidia and live/dead analyses by FCM correlated well, although the former consistently underestimated the proportion of viable conidia. In addition, the reproducibility and sensitivity of the flow cytometric method were high and allowed assessment of the fungicidal properties of two commercial MWF. Importantly, the obtained flow cytometric results on viability of F. solani conidia at both early time points (5 h and 24 h) correlated well with fungal biomass measurements assessed via a qPCR methodology 7 days after the start of the experiment.IMPORTANCE This result shows the predictive power of flow cytometry (FCM) in assessing the fungicidal capacity of MWF formulations. It also implies that FCM can be implemented as a rapid detection tool to estimate the viable fungal load in an industrial processing matrix (MWF).

Dataset Information

Distinguishing the common components of oil- and water-based metalworking fluids for assessment of cancer incidence risk in autoworkers.

Publications

Distinguishing the common components of oil- and water-based metalworking fluids for assessment of cancer incidence risk in autoworkers.

Similar Datasets

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