Ottaviani Enzo, Malagoli Davide, Franceschi Claudio
Department of Animal Biology, University of Modena and Reggio Emilia, Via Campi 213/D, 41100 Modena, Italy.
Trends Immunol. 2007 Nov;28(11):497-502. doi: 10.1016/j.it.2007.08.007. Epub 2007 Oct 24.
Ten years ago, we surmised that there was a common evolutionary origin for the immune and neuroendocrine systems. This was based on morphological and functional results indicating that a common pool of molecules is shared by the two systems, both in invertebrates and vertebrates. In the past decade, numerous molecular biology experiments have confirmed sequence similarity between invertebrate and vertebrate neuroimmune mediators, such as corticotrophin-releasing hormone. However, sequence similarity-based approaches were inadequate for analyzing other immune-related molecules, such as helical cytokines. This review covers older, and more recent findings on invertebrate immune- and neuroendocrine-related molecules with an evolutionary perspective, and suggests that protein-folding recognition algorithms are a fundamental tool in understanding the evolution of immune- and neuroendocrine-related molecules.
十年前,我们推测免疫和神经内分泌系统有着共同的进化起源。这一推测基于形态学和功能学结果,这些结果表明,在无脊椎动物和脊椎动物中,这两个系统共享一组共同的分子。在过去十年中,众多分子生物学实验证实了无脊椎动物和脊椎动物的神经免疫介质(如促肾上腺皮质激素释放激素)之间的序列相似性。然而,基于序列相似性的方法不足以分析其他免疫相关分子,如螺旋细胞因子。这篇综述从进化的角度涵盖了关于无脊椎动物免疫和神经内分泌相关分子的早期及最新发现,并表明蛋白质折叠识别算法是理解免疫和神经内分泌相关分子进化的基本工具。