search
for
 About Bioline  All Journals  Testimonials  Membership  News


Zoological Research
Kunming Institute of Zoology, Chinese Academy of Sciences
ISSN: 2095-8137
Vol. 32, No. 1, 2011, pp. 1-3
Bioline Code: zr11001
Full paper language: Chinese
Document type: Research Article
Document available free of charge

Zoological Research, Vol. 32, No. 1, 2011, pp. 1-3

 en Animal models of human diseases
Xu, Lin

Abstract

The development of efficient ways to predict, prevent, diagnose and treat human diseases is of great interest to human society and is a focus of life science research. It is widely believed that all human diseases may be attributed to the interaction between genetic and environmental risk factors, and this interaction influences the genesis, course, drug response and outcome of the diseases. The most effective approach for research into human diseases is the clinical study, but this can be hampered by disease heterogeneity, marked individual differences and the difficulty in tracking the history and course of a disease. Additionally, no study should be performed on humans without preclinical assessments in non-human animals. The best strategy for research into human diseases is to use animal models that mimic the genesis, course, drug response and outcomes of human disease and where the etiology, genetic background and environmental factors can be strictly controlled, unfeasible in clinical studies of humans. However, there are many problems associated with the study of animal models for human disease, some of which are based on misunderstanding. For this special issue of Zoological Research we discuss these problems and misunderstandings.

Keywords
Human diseases, Animal models, Nonhuman primates, Drug development

 
© Copyright 2011 Kunming Institute of Zoology, the Chinese Academy of Sciences
Alternative site location: http://www.zoores.ac.cn/

Home Faq Resources Email Bioline
© Bioline International, 1989 - 2024, Site last up-dated on 01-Sep-2022.
Site created and maintained by the Reference Center on Environmental Information, CRIA, Brazil
System hosted by the Google Cloud Platform, GCP, Brazil