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An up-and-down procedure for acute toxicity testing.

R D Bruce

    Fundamental and Applied Toxicology : Official Journal of the Society of Toxicology
    |February 1, 1985
    PubMed
    Summary
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    A novel up-and-down method significantly reduces animals needed for acute toxicity (LD50) testing. This efficient approach requires only 6-10 animals, a major improvement over traditional methods.

    Area of Science:

    • Toxicology
    • Pharmacology
    • Biostatistics

    Background:

    • Traditional acute toxicity testing, such as LD50 determination, often requires a large number of animals.
    • Ethical considerations and cost-effectiveness drive the need for more efficient testing methodologies.

    Purpose of the Study:

    • To develop and statistically evaluate an "up-and-down" method for acute toxicity testing.
    • To compare the efficiency and animal usage of the up-and-down method against classical procedures.

    Main Methods:

    • The up-and-down procedure involves dosing animals sequentially, adjusting the dose based on survival (increase dose if survived, decrease if died).
    • Observation periods were reduced to 1-2 days per animal, with a recommended 7-day monitoring for delayed deaths.
    • The method was statistically evaluated using simulations on existing toxicity data and tested on 48 acute toxicity studies.

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    Main Results:

    • The up-and-down method significantly reduces the number of animals required, needing only 6-10 animals compared to 40-50 for conventional studies.
    • The LD50 estimation incorporates all deaths and can be performed with standard software.
    • Testing in female rats is recommended due to higher sensitivity, with potential for male follow-up.

    Conclusions:

    • The up-and-down method offers a statistically valid and highly efficient alternative for LD50 determination, minimizing animal use.
    • This method is particularly suitable for substances where mortality occurs within 2 days post-dosing.
    • The procedure demonstrates excellent agreement with original studies, providing reliable LD50 estimates with narrower confidence intervals when initial estimates are accurate.