一种稳定型犬瘙痒模型构建方法及多维度评价方法

The canine pruritus model construction method, which employs rigorous screening and multi-dimensional evaluation, addresses the issues of poor model stability and insufficient adaptability in existing technologies. It achieves a canine pruritus model with high stability and wide applicability, thereby improving the efficiency and resource utilization of biomedical research.

CN121867152BActive Publication Date: 2026-07-17BEIJING GRAND SPARK PHARM TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING GRAND SPARK PHARM TECH CO LTD
Filing Date
2026-03-16
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies for constructing and evaluating canine pruritus models suffer from poor stability, limited evaluation dimensions, and lack of scenario adaptability. This results in large fluctuations in the sensitization effect of the models, poor behavioral repeatability, and an inability to meet the needs of long-term experiments, leading to a waste of resources.

Method used

We employ a rigorous screening of experimental dogs, standardized environmental adaptation, and construction methods covering multiple types of sensitizers. Combined with a multi-dimensional evaluation system, including evaluation algorithms for physiological and pathological, behavioral stability, and scenario adaptability, we ensure the stability and applicability of the model.

Benefits of technology

It significantly improved the stability and reliability of the model, achieved accurate evaluation across all dimensions, enhanced the model's scenario adaptability and resource utilization efficiency, and promoted the standardization and industrial application of the canine pruritus model.

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Abstract

本发明提供了一种稳定型犬瘙痒模型构建方法及多维度评价方法,构建方法包括:S1.实验犬筛选与基础信息记录;S2.实验犬环境适应处理;S3.致敏剂准备与浓度配置;S4.实验犬首次致敏处理;S5.首次致敏后皮肤反应监测与数据记录;S6.实验犬加强致敏处理;S7.加强致敏后瘙痒模型初步验证;S8.瘙痒行为诱导与量化记录;S9.模型稳定性连续监测;S10.得到稳定型犬瘙痒模型。本发明提供从实验设计到结果判定的标准化操作指南,降低模型构建与评价的技术门槛,提升研究数据的可比性与可重复性。
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