UC Irvine AD Translational Center for Disease Model Resources-Supplement to Purchase MESO QUICKPLEX SQ 120

项目总结/摘要 UCI MODEl-AD疾病模型开发和表型项目（DMDPP）的一个关键目标是 为了产生和表型阿尔茨海默病（AD）的新模型， AD发作（LOAD）。LOAD模型将在人源化Ab和tau平台上生成， AD中发现的标志性病理蛋白质。一旦人性化，我们将引入AD风险 相关的基因多态性，以测试他们的能力，驱动负载的特点。最终 目标是生产和表征的小鼠，可用于探索的关键驱动因素， AD病理在衰老过程中，既有遗传的，也有环境的。Aβ40和 将对每种基因型进行Aβ42、总tau水平和磷酸化tau水平、炎症标志物检测， 年龄此外，神经丝光，一种新研究的可翻译的生物标志物，可以在 这些动物。这至少涉及分析1000份血浆、海马体和 每只小鼠模型的大脑皮层。Meso Quickplex SQ 120仪器提供 与现有的酶联免疫吸附测定（ELISA）系统相比， 它可以对单个样品进行同时测试，是一种高性能 电化学发光免疫分析此外，另一个国家也在使用同样的系统。 MODEL-AD中心在其表型分析方案中获得这些终点，因此重要的是 UCI与其他联盟成员协调一致。

Project Summary/Abstract A key goal of the UCI MODEl-AD Disease Model Development and Phenotyping Project (DMDPP) is to generate and phenotype new models of Alzheimer's disease (AD) that better recapitulate late onset AD (LOAD). The LOAD models will be generated on a platform of humanized Ab and tau, two hallmark pathological proteins found in AD. Once humanized, we will then introduce AD-risk associated polymorphisms in genes to test their ability to drive characteristics of LOAD. The ultimate goal is the production and characterization of a mouse that can be used to explore the key drivers of AD pathology in the aging process, both genetic and environmental. Standard measures of Aβ40 and Aβ42 and total and phospho-tau levels, inflammatory markers will be performed for each genotype and age. In addition, neurofilament light, a newly investigated translatable biomarker, can be quantified in these animals. This involves, at a minimum, analysis of 1000 samples of plasma, hippocampus and cortex for every mouse model in the next 3 years. The Meso Quickplex SQ120 instrument provides several advances compared to pre-existing enzyme-linked immunosorbent assay (ELISA) system, as it enables simultaneous tests on a single sample and it is a high-performance electrochemilunescence immunoassay. Furthermore, the same system is being used in the other MODEL-AD centers to obtain these endpoints in their phenotyping protocols, and thus it is important for UCI to harmonize with the other consortium members.