A Quantitative Framework to Group Nanoscale and Microscale Particles by Hazard Potency to Derive Occupational Exposure Limits: Proof of Concept Evaluation

Details

• Personal Author:
  Drew NM ; Kuempel, Eileen D. ; Pei Y ; Yang F
• Description:
  The large and rapidly growing number of engineered nanomaterials (ENMs) presents a challenge to assessing the potential occupational health risks. An initial database of 25 rodent studies including 1929 animals across various experimental designs and material types was constructed to identify materials that are similar with respect to their potency in eliciting neutrophilic pulmonary inflammation, a response relevant to workers. Doses were normalized across rodent species, strain, and sex as the estimated deposited particle mass dose per gram of lung. Doses associated with specific measures of pulmonary inflammation were estimated by modeling the continuous dose-response relationships using benchmark dose modeling. Hierarchical clustering was used to identify similar materials. The 18 nanoscale and microscale particles were classified into four potency groups, which varied by factors of approximately two to 100. Benchmark particles microscale TiO2 and crystalline silica were in the lowest and highest potency groups, respectively. Random forest methods were used to identify the important physicochemical predictors of pulmonary toxicity, and group assignments were correctly predicted for five of six new ENMs. Proof-of-concept was demonstrated for this framework. More comprehensive data are needed for further development and validation for use in deriving categorical occupational exposure limits. [Description provided by NIOSH]
• Subjects:
  Laboratories Lung Occupational Health Respiratory System Safety Silicon Dioxide Toxicology
• Keywords:
  Author Keywords: Nanomaterial Benchmark Dose Modeling Crystalline Silica Exposure Limits Hazard Potency Hierarchical Clustering Laboratory Animals Nanomaterials Nanoscale Nanotoxicology Neutrophils Occupational Exposure Limit Physicochemical Properties Predictive Modeling Pulmonary Effects Pulmonary Inflammation Random Forest Risk Assessment

  More +
• ISSN:
  0273-2300
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  Ohio ; OSHA Region 3 ; OSHA Region 5 ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  EID - Education and Information Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  253-267
• Volume:
  89
• NIOSHTIC Number:
  nn:20050281
• Citation:
  Regul Toxicol Pharmacol 2017 Jul; 89:253-267
• Contact Point Address:
  Nathan M. Drew, National Institute for Occupational Safety and Health (NIOSH), Nanotechnology Research Center (NTRC), Cincinnati, OH 45226
• Email:
  vom8@cdc.gov
• CAS Registry Number:
  Quartz (SiO2) (CAS RN 14808-60-7)
• Federal Fiscal Year:
  2017
• NORA Priority Area:
  Manufacturing
• Peer Reviewed:
  True
• Source Full Name:
  Regulatory Toxicology and Pharmacology
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:ea77560e66b4273f582f37d4c52e0711132dd2b1ba5ae6e19e9ef258f6660ea0fa0f1c751f2f920eec8a9589e3f123085455114be5f8aac64ba23b39940c867e
• Download URL:
  https://stacks.cdc.gov/view/cdc/210699/cdc_210699_DS1.pdf
• File Type:
  [PDF - 1.45 MB ]