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 提供基本技能和指导的研究经验，以准备Girish Hiremath博士作为独立 研究人员领导了一个专注于嗜酸性食管炎（EOE）的多学科研究人员团队。 eoe是 食管的慢性，过敏原介导的炎症状况。作为最常见的原因之一 上胃肠道发病率上下，它影响了美国2000人中的1个。我们对 EOE的发病机理不完整，这有助于治疗EOE的繁重方法 患者。了解与EOE的发展有关的所有因素，包括 确定食道的生化变化导致不受影响的转化 食管对EOE中的食道发炎。作为临床和研究的小儿胃肠病学家 十多年来关注EOE，候选人提议通过建立这一重要知识差距来填补这一重要的知识差距 在他发表的工作中：1）使用拉曼验证EOE中的食管生化变化 光谱法（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 拉曼峰与疾病活动之间的相关性以及关键的工作特征 拉曼在区分EOE活动状态中的峰值，3）确定基线拉曼的组合是否 组织学，内窥镜和临床特征可以预测对EOE治疗的反应。通过定义钥匙 食道生物化学改变这项研究将为EOE的发病机理提供新的见解，并通过 确定治疗响应的基线预测指标，它将为个性化护理奠定 EOE患者。这项尖端和临床相关的研究将以智力刺激进行 范德比尔特大学的支持环境。在整个奖励期间，候选人将是 由Anita Mahadevan-Jansen博士（主要导师，拉曼光谱专家）指导，Evan Dellon博士 （联合学，EOE专家），以及一组病理学，过敏性炎症，生物统计学的杰出导师 以及生物信息学和数据科学，反映了研究人员的融合，候选人将领导 未来，他们杰出的职业道路将成为候选人成功的模板。实现他的 长期职业目标，与他的指导团队一起，候选人有条不紊地完成了4-- 年度职业发展计划。该计划将为他提供拉曼光谱的重要技能， 多维生物医学数据，临床翻译研究，EOE，赠款写作和整合 领导。杰出的指导，严格的职业发展计划和临床时间 该K23奖的主持人将导致出版物，数据和经验，这些出版物将独特地置于 候选人是EOE，生物探测和数据科学交集的独立研究者。