Precision Medicine Approaches for Eosinophilic Esophagitis Using Raman Spectroscopy and Machine Learning

利用拉曼光谱和机器学习治疗嗜酸性食管炎的精准医学方法

基本信息

批准号：
10350762
负责人：
Girish Hiremath
金额：
$ 17.52万
依托单位：
VANDERBILT UNIVERSITY MEDICAL CENTER
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-02-01 至 2025-11-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10350762
关键词：
Affect Allergens Allergic inflammation Award Biochemical Bioinformatics Biometry Biophotonics Biopsy Career Choice Characteristics Child Childhood Chronic Clinical Clinical Research Clinical Trials Data Data Analytics Data Science Deglutition Development Development Plans Disease Endoscopy Eosinophilic Esophagitis Eosinophilic Gastrointestinal Disease Epithelial Esophageal Tissue Esophagus Food Future Gastroenterologist Glycogen Goals Grant Histologic Histology Individual Inflammation Inflammation Mediators Inflammatory Knowledge Lasers Lead Leadership Libraries Lipids Machine Learning Mediating Mentored Patient-Oriented Research Career Development Award Mentors Mentorship Methods Morbidity - disease rate National Institute of Diabetes and Digestive and Kidney Diseases Pathogenesis Pathology Patients Positioning Attribute Prediction of Response to Therapy Program Development Prospective Studies Proteins Proton Pump Inhibitors Publications Publishing Raman Spectrum Analysis Research Research Personnel Role Severities System Techniques Testing Therapeutic Time Tissues Topical Corticosteroids Translational Research United States Universities Variant Work Writing base career career development chemical fingerprinting clinical care clinically relevant disease phenotype eosinophil experience feeding gastrointestinal healing indexing inhibitor therapy insight machine learning algorithm multidisciplinary novel patient oriented research personalized approach personalized care precision medicine predicting response programs skills success supportive environment tissue injury treatment response

项目摘要

PROJECT SUMMARY The overarching goal of this K23 Mentored Patient-Oriented Research Career Development Award is to provide essential skills and mentored research experience to prepare Dr. Girish Hiremath as an independent investigator leading a multi-disciplinary team of researchers focused on eosinophilic esophagitis (EoE). EoE is a chronic, allergen-mediated, inflammatory condition of the esophagus. As one of the most common cause of upper gastrointestinal morbidity, it affects 1 out of 2000 individuals in the United States. Our understanding of the pathogenesis of EoE is incomplete and this has contributed towards burdensome approaches to treat EoE patients. There is a critical unmet need to understand all factors related with development of EoE, including determining the biochemical changes in the esophagus that leads to transformation of an unaffected esophagus to an inflamed esophagus in EoE. As a Pediatric Gastroenterologist with clinical and research focus on EoE for more than a decade, the candidate proposes to fill this important knowledge gap by building on his published work through: 1) Validating the esophageal biochemical changes in EoE using Raman spectroscopy (a uniquely suited, highly sensitive, laser-based technique) and machine learning, 2) Determining the correlation between the Raman peaks and the disease activity, and the operating characteristics of the key Raman peaks in distinguishing EoE activity states, and 3) Determining if a combination of the baseline Raman, histologic, endoscopic, and clinical features can predict response to EoE therapy. By defining the key esophageal biochemical alterations this study will offer novel insights into pathogenesis of EoE, and by identifying the baseline predictors of the treatment response it will lay a framework for personalized care of EoE patients. This cutting-edge and clinically relevant research will be conducted in an intellectually stimulating and supportive environment at the Vanderbilt University. Throughout the award period, the candidate will be mentored by Dr. Anita Mahadevan-Jansen (primary mentor, expert in Raman Spectroscopy), Dr. Evan Dellon (co-mentor, expert in EoE), and a team of exceptional mentors in pathology, allergic inflammation, biostatistics and bioinformatics, and data science who mirror the blend of researchers that the candidate will lead in the future Their distinguished career paths will serve as a template for the candidate's success. To achieve his long-term career goal, in conjunction with his mentoring team, the candidate has methodically carved out a 4- year career development program. This program will provide him essential skills in Raman spectroscopy, integration of multidimensional biomedical data, clinical translational research, EoE, grant writing, and leadership. The preeminent mentorship, rigorous career development plan, and clinical time under the auspices of this K23 award will lead to publications, data, and experience that will uniquely situate the candidate as an independent investigator at the intersection of EoE, biophotonics, and data science.

项目概要 K23 指导的以患者为导向的研究职业发展奖的总体目标是提供必要的技能和受指导的研究经验，使 Girish Hiremath 博士成为一名独立的领导一个多学科研究小组的研究人员，专注于嗜酸粒细胞性食管炎（EoE）。 EOE 是一种由过敏原介导的慢性食道炎症性疾病。作为最常见的原因之一上消化道疾病，在美国每 2000 人中就有 1 人受到影响。我们的理解 EoE 的发病机制并不完整，这导致治疗 EoE 的方法繁重患者。了解与 EoE 发展相关的所有因素是一个尚未得到满足的关键需求，包括确定食道中导致未受影响的转化的生化变化 EoE 中食管发炎。作为一名从事临床和研究的儿科胃肠病学家十多年来一直专注于 EoE，候选人建议通过构建来填补这一重要的知识空白关于他发表的作品：1) 使用拉曼验证 EoE 中的食管生化变化光谱学（一种独特的、高度敏感的、基于激光的技术）和机器学习，2) 确定拉曼峰与疾病活动度之间的相关性，以及关键的操作特征区分 EoE 活动状态的拉曼峰，以及 3) 确定基线拉曼的组合是否为组织学、内窥镜和临床特征可以预测 EoE 治疗的反应。通过定义密钥这项研究将为 EoE 的发病机制提供新的见解，并通过确定治疗反应的基线预测因素，这将为个性化护理奠定框架 EoE 患者。这项尖端且与临床相关的研究将以智力刺激的方式进行范德比尔特大学的支持性环境。在整个颁奖期间，候选人将导师：Anita Mahadevan-Jansen 博士（主要导师、拉曼光谱专家）、Evan Dellon 博士（共同导师，EoE 专家），以及病理学、过敏性炎症、生物统计学方面的杰出导师团队以及生物信息学和数据科学，它们反映了候选人将领导的研究人员的融合未来他们杰出的职业道路将成为候选人成功的模板。为了实现他的为了实现长期职业目标，候选人与他的导师团队一起，有条不紊地制定了 4- 年职业发展计划。该计划将为他提供拉曼光谱方面的基本技能，多维生物医学数据、临床转化研究、EoE、拨款写作和领导。卓越的指导、严格的职业发展计划和临床时间 K23 奖项的赞助将带来出版物、数据和经验，这些出版物、数据和经验将独特地定位于候选人作为 EoE、生物光子学和数据科学交叉领域的独立研究员。