Pre-clinical rapid experiment method of drug

Abstract

The invention relates to a pre-clinical rapid experiment method of a drug. The method comprises the following steps: constructing an experiment animal disease model; feeding the drug to an experiment animal for the first time; after pre-set time, starting to carry out trace blood drawing and carrying out drug-time curve analysis on a blood sample; feeding the drug to the experiment animal for a plurality of times; observing a treatment effect on diseases and drug toxicity; after the drug effect is finished, feeding the drug to the experiment animal for the last time and carrying out the trace blood drawing again; analyzing an accumulation condition of the drug; dissecting the animal and carrying out mass spectrum scanning analysis on organ slices to obtain distribution data of the drug in each organ; proving pharmacology and toxicology according to the distribution data; and taking relative biological matrixes and carrying out bio-marker analysis. According to the pre-clinical rapid experiment method of the drug, provided by the invention, the pre-clinical experiment time can be greatly shortened and a drug development progress is accelerated; pharmacokinetic-pharmacological function-toxicology correlation analysis is relatively accurate; and injuries to the animal are reduced and the pre-clinical experiment cost is reduced.

Description

technical field [0001] The invention relates to the technical field of drug preclinical experiments, in particular to a method for rapid drug preclinical experiments. Background technique [0002] In the process of research and development of new drugs, it is necessary to use experimental animals to carry out a series of experiments such as pharmacokinetics, pharmacodynamics, and toxicology. These experimental data play an important guiding role in optimizing the structure of compounds, selecting candidate drugs, and designing clinical trials. The existing conventional method is to do these three experiments separately, and the obtained pharmacokinetic, drug efficacy, and toxicological data come from different batches of experimental animals. On the one hand, the research and development time is long, and on the other hand, all the data are put together During correlation analysis, it is inevitable to find experimental errors caused by differences between experimental animal...

AI Technical Summary

Problems solved by technology

Furthermore, the existing blood drug concentration detection methods require a relatively large sample volume, and each point requires about 200 μl of blood, so a drug-time curve of 6-8 time points usually requires 2 to 3 groups of animals to take blood alternately. This is more likely to bring experimental errors due to individual differences in experimental animals

[0003] In addition, the amount of blood taken in animal experiments is large, and blood is usually taken from the eye sockets, which causes great harm to the experimental animals, reduces their physiological state, and affects the experimental results; the large number of animals used in the experiment also increases the cost of research and development

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