Leveraging Variant-perturbed Gene Regulation to Support Precision Medicine in COPD

利用变异扰动的基因调控支持慢性阻塞性肺病的精准医疗

• 批准号: 10583539
• 负责人: Kimberly Renee Glass
• 金额: $ 79.71万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-15 至 2027-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10583539
• 关键词: Address; Biological; Blood; Blood specimen; Chronic Obstructive Pulmonary Disease; Clinical; Complex; DNA Sequence; Data; Development; Disease; Disease model; Disease susceptibility; Environment; Epigenetic Process; Gene Expression Regulation; Genes; Genetic Variation; Goals; Individual; Link; Lung diseases; Maps; Messenger RNA; Methodology; Methods; Modeling; Molecular; Network-based; Observational Study; Outcome; Pathogenesis; Pathway Analysis; Pharmaceutical Preparations; Phenotype; Play; Proteins; Quantitative Trait Loci; RNA; Regulation; Research; Role; Sampling; Smoking; Software Tools; Structure; Structure of parenchyma of lung; Testing; Therapeutic; Therapeutic Intervention; Tissue Sample; Tissues; Trans-Omics for Precision Medicine; Translating; Variant; Whole Blood; affection; clinical application; data integration; genetic association; genetic variant; genome wide association study; genomic locus; insight; lung development; lung health; multiple omics; network models; novel; novel therapeutic intervention; novel therapeutics; open source; precision medicine; preservation; programs; response; targeted treatment; therapeutic target; therapeutically effective; transcription factor; transcriptome sequencing; translational impact; treatment strategy

Summary/Abstract Micro-ribonucleic acids (miRNAs) are crucial for normal lung development, lung health, and have been implicated in lung diseases, including Chronic Obstructive Pulmonary Disease (COPD). In addition, recent studies have identified miRNAs as potential therapeutic targets for COPD. miRNAs play an important role in gene regulation. miRNAs act within a complex regulatory structure that involves other biological molecules, including transcription factors, proteins, messenger RNAs (mRNAs), and other epigenetic mechanisms, all of which may be under the influence of genetic variants. A number of genetic variants have been identified as important for COPD through Genome-Wide Association Studies (GWAS). However, substantial computational and methodological challenges impede both linking genetic variants to altered molecular mechanisms and identifying therapeutic interventions that can effectively target these mechanisms for clinical impact. Understanding the complex structure of gene regulation, including by and of miRNAs, and how it is altered in disease or in response to a genetic variant, is critical for developing effective, precision-medicine based therapeutic strategies in COPD. In this project, we hypothesize that network-based methods, which model the collective response of biological molecules, have the potential to identify novel therapeutic strategies for COPD. Our goal is to leverage the predictions made by regulatory network models in a Connectivity Map analysis to identify potential therapeutic interventions for COPD. To accomplish this goal, we will first develop a network approach to model regulation by and of miRNAs using existing mRNA and miRNA expression data from blood samples in COPDGene. We will also generate miRNA expression data in lung tissue from the Lung Tissue Research Consortium (LTRC). We will use these data to assess changes in miRNAs related to COPD and to quantify associations between miRNAs and genetic variants. Co-expression, regulatory, and genetic-association networks will be developed to support multi-Omics predictions relevant to COPD. Network analysis results will be analyzed in the context of drug response profiles from the Connectivity Map to identify potential treatment strategies. The outcome of this project will be a deeper understanding of the regulatory role of miRNAs in COPD, how disease-specific miRNA regulation is altered in the context of COPD GWAS variants, and predictions for novel therapeutic strategies for COPD. The methods developed in the project will also support the broader goal of developing precision-medicine strategies for COPD.

摘要/摘要 微核酸（miRNA）对于正常的肺发育，肺部健康至关重要，并且已经 与肺部疾病有关，包括慢性阻塞性肺疾病（COPD）。此外，最近 研究已将miRNA确定为COPD的潜在治疗靶标。 mirnas在 基因调节。 miRNA在复杂的调节结构中作用，涉及其他生物分子， 包括转录因子，蛋白质，信使RNA（mRNA）和其他表观遗传机制 这可能受到遗传变异的影响。许多遗传变异已被确定为 通过全基因组关联研究（GWAS）对COPD很重要。但是，大量计算 和方法上的挑战都阻碍了将遗传变异与分子机制改变的联系和 确定可以有效针对这些机制临床影响的治疗干预措施。 了解基因调节的复杂结构，包括miRNA，以及如何改变其 疾病或对遗传变异的反应，对于发展有效的，精确的医学素至关重要 COPD的治疗策略。 在这个项目中，我们假设基于网络的方法对生物学的集体响应进行了建模 分子有可能识别COPD的新型治疗策略。我们的目标是利用 监管网络模型在连接图分析中进行的预测以识别潜在的治疗 COPD的干预措施。为了实现这一目标，我们将首先开发一种网络方法来建模法规 使用MIRNA使用Copdgene中血液样本的现有mRNA和miRNA表达数据。我们 还将在肺组织研究联盟（LTRC）的肺组织中产生miRNA表达数据。 我们将使用这些数据来评估与COPD相关的miRNA的变化，并量化 miRNA和遗传变体。共表达，调节和遗传关联网络将开发为 支持与COPD相关的多媒体预测。网络分析结果将在 连接图的药物反应概况以识别潜在的治疗策略。结果的结果 项目将更深入地了解miRNA在COPD中的调节作用，这是如何特异性miRNA 在COPD GWAS变体的背景下，调节发生了变化，并预测了新型治疗策略的预测 COPD。项目中开发的方法还将支持开发精确中等的更广泛的目标 COPD的策略。