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

• 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
• 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

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.

项目摘要 这个K23指导的以患者为导向的研究职业发展奖的总体目标是 提供必要的技能和指导研究经验，以准备博士Girish Hiremath作为一个独立的 领导一个多学科研究小组的研究者，专注于嗜酸性粒细胞性食管炎（EoE）。EoE是 一种由过敏原引起的慢性食道炎症。作为最常见的原因之一 上消化道发病率，它影响美国2000人中的1人。我们理解 EoE的发病机制是不完全的，这导致了治疗EoE的繁琐方法 患者了解与EoE发展相关的所有因素是一个关键的未满足需求，包括 确定食管中的生化变化，导致未受影响的 食管与食管炎的关系作为一名儿科胃肠病学家， 专注于EoE十多年，候选人建议通过构建 他发表的工作，通过：1）验证食管生化变化EoE使用拉曼 光谱学（一种独特的、高灵敏度的、基于激光的技术）和机器学习，2）确定 拉曼峰与疾病活动性之间的相关性，以及键的操作特性 在区分EoE活性状态中的拉曼峰，和3）确定基线拉曼峰， 组织学、内镜和临床特征可以预测EoE治疗的反应。通过定义键 食管生化改变这项研究将提供新的见解发病机制EoE， 确定治疗反应的基线预测因子，将为个性化护理奠定框架， EoE患者。这项尖端和临床相关的研究将在一个智力刺激进行 在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，拉曼光谱学专家），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 生物信息学和数据科学，他们反映了候选人将领导的研究人员的混合， 他们杰出的职业道路将成为候选人成功的模板。达成自己 长期的职业目标，与他的指导团队一起，候选人有条不紊地制定了一个4- 年职业发展计划。该计划将为他提供拉曼光谱学的基本技能， 多维生物医学数据的整合，临床转化研究，EoE，拨款写作， 领导卓越的指导，严格的职业发展计划，以及在 这个K23奖的赞助将导致出版物，数据和经验，将独特地证明 作为EoE，生物光子学和数据科学交叉点的独立研究员候选人。