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Research Supplements to Promote Diversity

促进多样性的研究补充

基本信息

批准号：
10889729
负责人：
Mathew Thoppil Mathew
金额：
$ 8.47万
依托单位：
ILLINOIS INSTITUTE OF TECHNOLOGY
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-01 至 2025-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10889729
关键词：
Actinobacillus actinomycetemcomitans Address Award Biological Markers Categories Cells Clinical Collection Complex Data Detection Development Devices Dimensions Enzymes Event Forsythia Fusobacterium nucleatum Future Gingiva Glass Goals Health Health Sciences Individual Industry Inflammation Ions Knowledge Label Lasers Machine Learning Measurement Measures Mediator Medical Metals Methods MicroRNAs Microfluidic Microchips Microfluidics Modality Molecular Monitor Output Parents Particle Size Patients Periodontal Diseases Periodontal Pocket Periodontitis Phenotype Play Porphyromonas gingivalis Preparation Prevotella intermedia Protocols documentation Raman Spectrum Analysis Reaction Research Research Project Grants Research Support Resolution Role Saliva Salivary Sampling Signal Transduction Signaling Protein Slide Spectrum Analysis Streptococcus mutans Structure Surface Testing Tissues Tooth structure Training Translational Research Treponema denticola bone career clinical application comorbidity density design detection method doctoral student experience high throughput screening imaging approach improved insight interdisciplinary collaboration lithography machine learning method machine learning model medical specialties microbial microorganism mobile sensor multiplex detection nano nanoparticle novel parent grant pathogen periodontopathogen personalized medicine point of care potential biomarker pre-doctoral prototype saliva sample sensor soft tissue tool

项目摘要

On-chip multiplex detection of periodontal pathogens by Raman imaging at single cell level Project Summary: Periodontitis is initiated by complex bacterial interaction in tissues surrounding the teeth. Periodontal pathogens accumulate in periodontal pockets and induce periodontal destruction in a cooperative manner, leading to gingival inflammation, soft tissue destruction, and bone destruction. These pathogens can serve as biomarkers to inform periodontal status. Surface- enhanced Raman spectroscopy (SERS) has emerged as a powerful label-free detection tool to discriminate bacterial phenotypes due to the Raman signatures of their unique molecular composition. To facilitate SERS utility in clinical applications, it is imperative to develop a platform that warrants simple and universal sample preparation method with minimal technical demand. We address this critical need in this study by pre-loading Ag nanoparticles (Ag-NPs) on all bacterial cells in a sample in a one-pot reaction. The reaction is quick and no species-specific label is needed. Following the parent grant's microbial compartmentalization concept, the pathogens will be disseminated to microchambers that are interconnected by parallel microchannels. By design, each microchamber accommodates one cell. Ag-NP enables the collection of well-resolved Raman spectrum at a single-cell level (Aim 1). Machine learning in combination with the snap-shot hyperspectral imaging approach will enable confident identification and enumeration of pathogen species with spatial resolution to facilitate on-chip multiplex detection (Aim 2). This is a versatile detection method that can be integrated on a portable sensor device as proposed in the parent grant. Integrating with other components of the parent grant, this research contributes to the development of a prototype salivary sensor that will offer detailed medical data from frequent and progressive monitoring, and it will be an effective tool for future personalized medicine and is expected to dramatically improve the patient's overall health. In addition to technical training, the predoctoral student will gain experience through engaging in interdisciplinary collaborations, providing him with insights into the intricacies of workflow within an interdisciplinary project and the pivotal role that each specialty subject would play in supporting research in diverse fields, preparing him to become capable of tackling multifaceted challenges in his future career.

牙周病原菌的芯片多重检测通过单细胞水平的拉曼成像项目总结：牙周炎是由牙齿周围组织中复杂的细菌相互作用引起的。牙周病原体在牙周袋中积聚并导致牙周破坏一种合作的方式，导致牙周炎、软组织破坏和骨骼毁灭。这些病原体可以作为生物标志物来告知牙周状态。表面- 增强拉曼光谱(SERS)已经成为一种强大的无标记检测工具利用细菌独特分子的拉曼特征区分细菌表型组成。为了促进SERS在临床上的应用，开发一个SERS平台势在必行这保证了简单和通用的样品制备方法，而技术要求最低。我们在这项研究中通过将银纳米颗粒(Ag-NP)预加载到所有样本中的细菌细胞在一锅反应中。这种反应很快，而且没有特定的物种需要标签。遵循母公司赠款的微生物区划概念，病原体将传播到以平行方式相互连接的微室微通道。根据设计，每个微室可容纳一个细胞。AG-NP使在单细胞水平收集分辨率良好的拉曼光谱(目标1)。中的机器学习与快照高光谱成像方法相结合，将使您能够基于空间分辨率的芯片病原菌鉴定与计数多路传输检测(目标2)。这是一种多功能的检测方法，可以集成在家长拨款中建议的便携式传感器设备。结合家长赠款的其他组成部分，这项研究有助于开发一种唾液传感器原型，将提供频繁和逐步监测，它将是未来个性化医疗的有效工具，并将是预计将显著改善患者的整体健康状况。除了技术培训外，博士前学生将通过参与跨学科合作获得经验，为他提供对跨学科项目中错综复杂的工作流程的洞察力每个专业学科将在支持不同领域的研究方面发挥关键作用，让他做好准备，能够在未来的职业生涯中应对多方面的挑战。