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Correlation of Noncancer Benchmark Doses in Short‐ and Long‐Term Rodent Bioassays

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  • Jessica Kratchman
  • Bing Wang
  • John Fox
  • George Gray

Abstract

This study investigated whether, in the absence of chronic noncancer toxicity data, short‐term noncancer toxicity data can be used to predict chronic toxicity effect levels by focusing on the dose–response relationship instead of a critical effect. Data from National Toxicology Program (NTP) technical reports have been extracted and modeled using the Environmental Protection Agency's Benchmark Dose Software. Best‐fit, minimum benchmark dose (BMD), and benchmark dose lower limits (BMDLs) have been modeled for all NTP pathologist identified significant nonneoplastic lesions, final mean body weight, and mean organ weight of 41 chemicals tested by NTP between 2000 and 2012. Models were then developed at the chemical level using orthogonal regression techniques to predict chronic (two years) noncancer health effect levels using the results of the short‐term (three months) toxicity data. The findings indicate that short‐term animal studies may reasonably provide a quantitative estimate of a chronic BMD or BMDL. This can allow for faster development of human health toxicity values for risk assessment for chemicals that lack chronic toxicity data.

Suggested Citation

  • Jessica Kratchman & Bing Wang & John Fox & George Gray, 2018. "Correlation of Noncancer Benchmark Doses in Short‐ and Long‐Term Rodent Bioassays," Risk Analysis, John Wiley & Sons, vol. 38(5), pages 1052-1069, May.
    • Handle: RePEc:wly:riskan:v:38:y:2018:i:5:p:1052-1069
    DOI: 10.1111/risa.12903
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    1. Lelys Bravo Guenni & Susan J. Simmons & R. Webster West & Walter W. Piegorsch & Edsel A. Peña & Lingling An & Wensong Wu & Alissa A. Wickens & Hui Xiong & Wenhai Chen, 2012. "The impact of model uncertainty on benchmark dose estimation," Environmetrics, John Wiley & Sons, Ltd., vol. 23(8), pages 706-716, December.
    2. Pierre Crettaz & David Pennington & Lorenz Rhomberg & Kevin Brand & Olivier Jolliet, 2002. "Assessing Human Health Response in Life Cycle Assessment Using ED10s and DALYs: Part 1—Cancer Effects," Risk Analysis, John Wiley & Sons, vol. 22(5), pages 931-946, October.
    3. David Pennington & Pierre Crettaz & Annick Tauxe & Lorenz Rhomberg & Kevin Brand & Olivier Jolliet, 2002. "Assessing Human Health Response in Life Cycle Assessment Using ED10s and DALYs: Part 2—Noncancer Effects," Risk Analysis, John Wiley & Sons, vol. 22(5), pages 947-963, October.
    4. Bing Wang & George Gray, 2015. "Concordance of Noncarcinogenic Endpoints in Rodent Chemical Bioassays," Risk Analysis, John Wiley & Sons, vol. 35(6), pages 1154-1166, June.
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