Acute phase reaction and acute phase proteins
Acute phase reaction and acute phase proteins作者机构:Department of Pathobiology Faculty of Veterinary Medicine Utrecht University Utrecht the NetherlandsDepartment of Pathobiology Faculty of Veterinary Medicine Utrecht University Utrecht the NetherlandsAnimal Sciences Group Wageningen University Research Lelystad the NetherlandsAnimal Sciences Group Wageningen University Research Lelystad the Netherlands
出 版 物:《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 (浙江大学学报(英文版)B辑(生物医学与生物技术))
年 卷 期:2005年第6卷第11期
页 面:1045-1056页
核心收录:
学科分类:1001[医学-基础医学(可授医学、理学学位)] 100104[医学-病理学与病理生理学] 10[医学]
基 金:The paper presented at the 28th Seminar on Recent Advances inAnimal Health and Production University Putra Malaysia KualaLumpur Malaysia March 28th 2005
主 题:Acute phase protein Acute phase reaction Animal health Assessment Cytokine Index Nutrition
摘 要:A review of the systemic acute phase reaction with major cytokines involved, and the hepatic metabolic changes, negative and positive acute phase proteins (APPs) with function and associated pathology is given. It appears that APPs represent appropriate analytes for assessment of animal health. Whereas they represent non-specific markers as biological effect reactants, they can be used for assessing nutritional deficits and reactive processes, especially when positive and negative acute phase variables are combined in an index. When such acute phase index is applied to separate healthy animals from animals with some disease, much better results are obtained than with single analytes and statistically acceptable results for culling individual animals may be reached. Unfortunately at present no cheap, comprehensive and easy to use system is available for assessing various acute phase proteins in serum or blood samples at the same time. Protein microarray or fluid phase microchip technology may satisfy this need; and permit simultaneous analysis of numerous analytes in the same small volume sample and enable integration of information derived from systemic reactivity and nutrition with disease specific variables. Applying such technology may help to solve health problems in various countries not only in animal husbandry but also in human populations.