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Neuroendocrinology and its quantitative development: a bioengineering view.神经内分泌学及其定量发展:一种生物工程视角。
Biomed Eng Online. 2010 Nov 4;9:68. doi: 10.1186/1475-925X-9-68.
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GPR119 is essential for oleoylethanolamide-induced glucagon-like peptide-1 secretion from the intestinal enteroendocrine L-cell.GPR119对于油酰乙醇胺诱导肠道肠内分泌L细胞分泌胰高血糖素样肽-1至关重要。
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Mathematical modelling in neuroendocrinology.神经内分泌学中的数学建模
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Expression of feeding-related peptide receptors mRNA in GT1-7 cell line and roles of leptin and orexins in control of GnRH secretion.进食相关肽受体mRNA在GT1-7细胞系中的表达以及瘦素和食欲素在促性腺激素释放激素分泌调控中的作用。
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神经内分泌学及其定量发展:一种生物工程视角。

Neuroendocrinology and its quantitative development: a bioengineering view.

机构信息

Instituto de Ingeniería Biomédica, Universidad de Buenos Aires, Argentina.

出版信息

Biomed Eng Online. 2010 Nov 4;9:68. doi: 10.1186/1475-925X-9-68.

DOI:10.1186/1475-925X-9-68
PMID:21050472
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2992060/
Abstract

Biomedical engineering is clearly present in modern neuroendocrinology, and indeed has come to embrace it in many respects. First, we briefly review the origins of endocrinology until neuroendocrinology, after a long saga, was established in the 1950's decade with quantified results made possible by the radioimmunoassay technique (RIA), a development contributed by the physical sciences. However, instrumentation was only one face of the quantification process, for mathematical models aiding in the study of negative feedback loops, first rather shyly and now at a growing rate, became means building the edifice of mathematical neuroendocrinology while computer assisted techniques help unravel the associated genetic aspects or the nature itself of endocrine bursts by numerical deconvolution analysis. To end the note, attention is called to the pleiotropic characteristics of neuroendocrinology, which keeps branching off almost endlessly as bioengineering does too.

摘要

生物医学工程在现代神经内分泌学中显然占有一席之地,并且在许多方面已经开始接受它。首先,我们简要回顾一下内分泌学的起源,直到神经内分泌学在 20 世纪 50 年代的几十年里,由于放射免疫分析技术(RIA)的出现,量化结果成为可能,这一技术的发展是物理科学的贡献。然而,仪器只是量化过程的一个方面,因为帮助研究负反馈回路的数学模型,最初相当谨慎,现在则以越来越快的速度,成为构建数学神经内分泌学的基础,而计算机辅助技术则通过数值反卷积分析帮助揭示相关的遗传方面或内分泌爆发的本质。在结束这篇笔记时,我们注意到神经内分泌学的多功能特性,它几乎像生物工程一样不断分支。