Detection of Microbial Antigens in Metal Working Fluids
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2001/03/01
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Description:In recent years there have been several reports of hypersensitivity pneumonitis (HP) or an HP-like illness occurring among machinists working with water-based metal working fluids (MWF). Microbial contamination of the MWF is common and microbial agents have been suspected to be casual agents for the HP-like illness, but no specific etiologic agent has been identified to date. In particular, gram negative bacteria and biocide resistant mycobacterial species may colonize the MWF, and may stimulate an inflammatory response if inhaled. Because direct culture tecniques provide data only about viable organisms present at the time the sample was collected, we have been evaluating tecniques to detect microbial substances (antigens) that may be present and persist in the MWF. We have found that the endotoxin of gram negative bacteria can be detected in MWF using the limulus amoebocyte lysate (LAL) assay, and may be present in high concentrations. In addition, MWF samples have been analyzed by Western Blot tecniques using polyclonal antibodies to mycobacteria to demonstrate the presence of mycobacterial antigens in these samples. The use of non-culture-based tecniques for the assessment of microbial contamination of MWF may help to determine the role of microorganisms in the etiology of HP associated with MWF exposure. [Description provided by NIOSH]
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ISSN:0964-8305
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Pages in Document:89-94
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Volume:47
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Issue:2
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NIOSHTIC Number:nn:20021790
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Citation:Int Biodeterioration Biodegradation 2001 Mar; 47(2):89-94
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Contact Point Address:Analytical Services Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, 1095 Willowdale Road, Morgantown, WV 26505, USA
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Email:dml1@cdc.gov
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Federal Fiscal Year:2001
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Peer Reviewed:True
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Source Full Name:International Biodeterioration and Biodegradation
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Main Document Checksum:urn:sha-512:d94b8184842efd6fd36fd616b796313c3aba7a8d77ad7f1d0b382e7de003ce1be28031383a76b61d1bbdf38b0123e8a28c94d72d5fef6fed3f4dcca446f47a7b
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