Literature DB >> 20036462

A probabilistic approach to quantitatively assess the inhalation risk for airborne endotoxin in cotton textile workers.

Vivian Hsiu-Chuan Liao1, Wei-Chun Chou, Chia-Pin Chio, Yun-Ru Ju, Chung-Min Liao.   

Abstract

Endotoxin, a component of gram-negative bacterial cell walls, is a proinflammatory agent that induces local and systemic inflammatory responses in normal subjects which can contribute to the risk of developing asthma and chronic obstructive lung diseases. A probabilistic approach linking models of exposure, internal dosimetry, and health effects were carried out to quantitatively assess the potential inhalation risk of airborne endotoxin for workers in cotton textile plants. Combining empirical data and modeling results, we show that the half-maximum effects of the endotoxin dose (ED50) were estimated to be 3.3 x 10(5) (95% confidence interval (CI): 1.9-14.7 x 10(5)) endotoxin units (EU) for the blood C-reactive protein (CRP) concentration, 1.1 x 10(5) (95% CI: 0.6-1.7 x 10(5))EU for the blood polymorphonuclear neutrophil (PMN) count, and 1.5 x 10(5) (95% CI: 0.4-2.5 x 10(5))EU for the sputum PMN count. Our study offers a risk-management framework for discussing future establishment of limits for respiratory exposure to airborne endotoxin for workers in cotton textile plants. Copyright (c) 2009 Elsevier B.V. All rights reserved.

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Year:  2009        PMID: 20036462     DOI: 10.1016/j.jhazmat.2009.11.151

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  2 in total

1.  Predictors and respiratory depositions of airborne endotoxin in homes using biomass fuels and LPG gas for cooking.

Authors:  Bijaya K Padhi; Atin Adhikari; Prakasini Satapathy; Alok K Patra; Dinesh Chandel; Pinaki Panigrahi
Journal:  J Expo Sci Environ Epidemiol       Date:  2016-03-09       Impact factor: 5.563

2.  Extraction, separation and characterization of endotoxins in water samples using solid phase extraction and capillary electrophoresis-laser induced fluorescence.

Authors:  Fun Man Fung; Min Su; Hua-Tao Feng; Sam Fong Yau Li
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

  2 in total

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