Low-Level Cyclo-Sarin (GF) Vapor Exposure in the Gottingen Minipig: Effect of Exposure Concentration and Duration on Pupil Size

Abstract

The present study utilized infrared pupillometry to digitally capture images of pupils in real-time during whole-body vapor GF exposures of Gottingen minipigs. Binary normal regression was used to fit various response models to the data. Values for EC50 and ECT50 were calculated for miosis in male and female minipigs exposed to GF vapor for 10, 60, and 180 min. There is a 32% overall difference (area basis) in the model fits for the miotic ECT50 values between the genders, with the males being more sensitive. The difference between the genders became more pronounced at the longer exposure-durations. The ECT50 associated with miosis was not constant over time as predicted by Haber's rule. Rather, the data were best described by a toxic load model. The value of the best model fit for the toxic load exponent was 1.60 with 95% confidence interval of 1.38 to 1.82. The best estimate of the probit slope (concentration) was 12.4 with 95% confidence interval of 4.8 to 20.0. Potential curvature in the data with respect to fitting by the toxic load model was evaluated by inserting the term, (LogT)2, and this term was found to be statistically insignificant (p > 0.3).

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2007
Accession Number
ADA469336

Entities

People

  • Bernard J. Benton
  • Douglas R. Sommerville
  • Jacqueline A. Scotto
  • Jeffry S. Forster
  • Robert J. Mioduszewski
  • Ronald B. Crosier
  • Sandra A. Thomson
  • Sharon A. Reutter
  • Stanley W. Hulet
  • William T. Muse

Organizations

  • Edgewood Chemical Biological Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Blood
  • Chemical Warfare
  • Chemical Warfare Agents
  • Data Analysis
  • Data Mining
  • Data Science
  • Dermatologic Agents
  • Factor Analysis
  • Goodness Of Fit Tests
  • Information Science
  • Knowledge Management
  • Mass Spectrometry
  • Medical Personnel
  • Military Operations
  • Nerve Agents
  • Regression Analysis
  • Veins

Readers

  • Computer Vision.
  • Regression Analysis.
  • Toxicology/Environmental Toxicology