Center for the Study of Symptom Science, Metabolomics and Multiple Chronic Conditions

症状科学、代谢组学和多种慢性病研究中心

• 批准号: 9763654
• 负责人: MI-KYUNG SONG
• 金额: $ 53.1万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-14 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9763654
• 关键词: Address; Adult; African American; Age; Anxiety; Area; Automobile Driving; Award; Biological; Chronic; Chronic Disease; Chronic stress; Collaborations; Comorbidity; Complex; Data; Data Analytics; Data Science; Deep South; Development; Diet; Direct Costs; Discipline of Nursing; Discrimination; Educational workshop; Faculty; Family; Fatigue; Future; Generations; Genomics; Goals; Health; Human Resources; Hypertension; Individual; Infrastructure; Interdisciplinary Study; Intervention; Intervention Studies; Knowledge; Light; Link; Mental Depression; Mentors; Metabolic Pathway; Modeling; Morbidity - disease rate; Nurses; Nursing Faculty; Outcome; Pathway interactions; Patients; Pharmaceutical Preparations; Pilot Projects; Population; Public Health; Publications; Quality of life; Research; Research Personnel; Resources; School Nursing; Schools; Science; Scientist; Self Management; Severities; Stress; Symptoms; Techniques; Technology; Testing; Time; Translational Research; Translations; United States; Woman; Work; base; dysbiosis; experience; gut microbiome; health disparity; health related quality of life; improved; innovation; member; men; metabolic profile; metabolomics; microbiome; microbiome research; multiple chronic conditions; negative affect; next generation; nursing intervention; peer; reduce symptoms; research study; sex; success; symposium; symptom cluster; symptom science; synergism; theories

Over 25% of the adult population in the United States suffers from multiple chronic conditions (MCC), with numbers rising, especially among Black men and women who experience the highest MCC morbidity. Those with MCC often experience symptoms or symptom clusters that undermine their quality of life and ability to self-manage. Importantly, symptom severity in those with even the same MCC varies, suggesting that the mechanisms driving symptoms in MCC are not fixed but vary in ways that may make them amenable to targeted interventions – the very essence of nursing science. The over-arching goal of the “Center for the Study of Symptom Science, Metabolomics and Multiple Chronic Conditions” is to strengthen the capacities of a diverse faculty of nurse scientists to conduct innovative translational research using cutting-edge metabolomics and microbiomic technologies to reduce symptoms in individuals with MCC. The Center’s research aim is to apply next-generation metabolomics technology and data analytic strategies to stimulate discovery of the metabolites and metabolic pathways that are present in individuals with MCC, focusing on the metabolites and metabolic pathways that synergize across conditions and associate with severe symptoms of fatigue, depression, or anxiety and their cluster, but are less represented in individuals with MCC who have minimal or no symptoms. Metabolites and pathways associated with symptoms will be evaluated in light of covariates such as sex as a biological variable, age, stress and discrimination, diet and medications. An exploratory aim will investigate the composition of the gut microbiome as a potential covariate to these symptoms. This aim takes advantage of our School’s strength in microbiome research and evidence linking the microbiome to these symptoms. Pilots 1-3 will examine the circulating metabolites and metabolic profiles that associate with the severity of the symptoms of fatigue, depression, and anxiety in individuals with MCC and in light of covariates, and examine the associations at each time point, while pilot 4 will apply data analytic techniques to model the complex pathways associated with symptom severity, synergy, cluster, and health quality outcomes in MCC. Pilot 5 will test the Pilot 4 model for proof of concept that the metabolites and covariates identified in Pilots 1-3 do associate with symptom severity and are valid targets for intervention. Metabolites associated with symptoms in MCC, including those that synergize, that contribute to clustering, or are microbiome-associated, have yet to be described. Of the 26 Center Personnel, 18 are Center Faculty and Members. Our research base in MCC, self-management, metabolomics, and the microbiome is strong with annual direct costs of $4.7 million. The Center for Data Science is supported with ½ million dollars annually, and will provide infrastructure to the Data Science Core. We will leverage resources of the Emory Metabolomics and Integrated Genomic Cores. Equipping junior faculty to consider complex theories and employ cutting-edge technology, while focused on translation, prepares future nurse scientists to address issues that matter to patients and families.

美国超过25％的成年人口患有多种慢性病（MCC），有 数字上升，尤其是在经历MCC发病率最高的黑人男女中。那些 MCC经常会经历症状或症状簇，破坏其生活质量和能力 自我管理。重要的是，甚至具有相同MCC品种的人的症状严重程度，这表明 在MCC中驱动症状的机制不是固定的，而是可以使它们适应的方式有所不同 有针对性的干预措施 - 护士科学的本质。 “中心 症状科学，代谢组学和多种慢性病的研究是为了增强 护士科学家的潜水员教师使用尖端代谢组学进行创新的翻译研究 和微生物技术以减少MCC患者的症状。该中心的研究目的是 应用下一代代谢组学技术和数据分析策略来刺激发现 具有MCC的个体中存在的代谢物和代谢途径，重点是代谢物和 代谢途径，跨条件协同并与严重的疲劳症状相关， 抑郁症或焦虑及其集群，但在MCC的个体中的代表性较小 或没有症状。将根据协变量评估与症状相关的代谢物和途径 例如性别，年龄，压力和歧视，饮食和药物等性变量。探索性目标 将研究肠道微生物组的组成，作为这些符号的潜在协变量。 利用我们学校在微生物组研究中的力量和将微生物组联系起来的证据 症状。飞行员1-3将检查与该循环的代谢产物和与 疲劳，抑郁和动画症状的严重程度在患有MCC和协变量的个体中 并在每个时间点检查关联，而Pilot 4将应用数据分析技术来建模 MCC中与症状严重程度，协同性，簇和健康质量结果相关的复杂途径。 飞行员5将测试飞行员4模型以获取概念证明，该概念证明了飞行员1-3中确定的代谢物和协变量 确实与症状严重程度相关，是干预的有效目标。与之相关的代谢物 MCC中的症状，包括协同作用的症状，导致聚类或与微生物组相关的症状 尚未描述。在26名中心人员中，有18名是中心教职员工和成员。我们的研究基础 在MCC中，自我管理，代谢组学和微生物组强劲，年度直接成本为4.7美元 百万。数据科学中心每年都有½0万美元的支持，并将提供基础设施 到数据科学核心。我们将利用Emory代谢组学和集成基因组的资源 内核。装备初级教师来考虑复杂的理论和尖端技术，而 专注于翻译，为未来的护士科学家做好准备，以解决对患者和家庭重要的问题。