TBD

待定

基本信息

批准号：
10213433
负责人：
Shuzhao Li
金额：
$ 48.56万
依托单位：
JACKSON LABORATORY
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-12-01 至 2024-11-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10213433
关键词：
Antibodies Archives Attenuated Biological Assay Cells Communicable Diseases Data Data Analyses Early identification Gene Combinations Gene Expression Genes Herpes zoster disease Human Immune Immune response Immunology Individual Infection Inositol Phosphate Metabolism Pathway Learning Lipids Measurement Measures Metabolic Metabolic Pathway Methods Molecular Participant Pathway interactions Pattern Peripheral Blood Mononuclear Cell Plasma Public Health Regulation Reporting Research Sampling Signal Transduction T cell response Testing Therapeutic Time Vaccination Vaccines Work Zoster Vaccine adaptive immune response base cancer immunotherapy chemical group cohort design fighting improved individual response individual variation insight metabolic phenotype metabolomics multiple omics predictive modeling public health relevance response single-cell RNA sequencing small molecule small molecule libraries steroid metabolism tool transcriptomics vaccine development vaccine trial vaccine-induced immunity

项目摘要

Abstract Understanding immunometabolism at the systemic level is important to vaccine development and cancer immunotherapy. While new data are coming out, methodical measurements of small molecules using metabolomics are still limited. Our team recently reported a multi-omics study of herpes zoster vaccine (Zostavax), which identified major metabolic influences to vaccine induced immunity, including inositol phosphate metabolism and steroid metabolism. To fully test the metabolite predictors of immune responses, we have acquired samples from a larger Zostavax study, and propose to perform advanced, high-coverage metabolomics analysis. Predictive models of immune responses will be developed on one cohort and tested on the other. These data will also be compared to a newer and more efficacious zoster vaccine. Together, this study will establish how metabolite profiles determine the immune responses of individuals.

抽象的了解系统水平的免疫代谢对于疫苗开发很重要和癌症免疫疗法。当新数据出现时，小小的测量使用代谢组学的分子仍然有限。我们的团队最近报道了一项多派研究带状疱疹疫苗（Zostavax）的疱疹，该疫苗确定了对疫苗的主要代谢影响诱导的免疫力，包括肌醇磷酸代谢和类固醇代谢。完全测试免疫反应的代谢物预测因子，我们从较大的 Zostavax研究，并建议进行高级高覆盖代谢组学分析。免疫反应的预测模型将在一个队列上开发，并在其他。这些数据也将与更新，更有效的潜水队疫苗进行比较。总之，这项研究将确定代谢产物轮廓如何确定的免疫反应个人。