Multiplexed 'Touch and Tell' Optical Molecular Sensing and Imaging

多重“触摸告诉”光学分子传感和成像

• 批准号: EP/K03197X/1
• 负责人: Mark Bradley
• 金额: $ 1204.45万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK03197X%2F1
• 关键词: Multiplexed; Touch; Tell; Optical; Molecular

This project is all about multi-disciplinary collaboration - and capitalisation in a clinical setting of the many new vistas and opportunities that will arise. As such this research programme brings together a group of world class scientists (physicists, chemists, engineers and computer experts) and clinicians to design, make and test a cutting-edge bedside technology platform which will help doctors in the intensive care unit (ICU) make rapid and accurate diagnoses that would inform therapy and ensure patients get the right treatment, quickly. While we are developing our technology platform with a focus on ICU, it will also be applicable to a wide range of other healthcare situations.ICU patients suffer high death and disability rates and are responsible for a disproportionate financial burden on the health service. Potentially fatal lung complications are a common problem in ventilated ICU patients and doctors caring for these patients in the ICU face many challenges, often needing to make snap decisions without the information necessary to properly inform those decisions. The technology platform developed in this programme will provide doctors with important information on the state of ICU patients and whether they have infections, inflammation or scarring in their lungs. Currently there are no methods to do this accurately. This information will aid them in making decisions about treatment. A new approach to rapidly diagnose lung complications in ICU would enable doctors to target the correct drugs to the appropriate patients and to withdraw drugs with confidence, with resultant improvement in patient outcomes and major cost efficiencies - thus revolutionising ICU care.Using advanced fibre optic technology and micro-electronics and new sensor arrays our ground-breaking solution is to create a novel fibre-based probe that can readily be passed into the gas exchanging areas of the lung and blood vessels of ICU patients. The probe will house a variety of special optical fibres, some of which allow clinicians to "view" inside the lung while others will be modified with sensors that can measure important parameters such as oxygen concentration and acidity in both blood and lung. In addition the fibre will deliver tiny amounts (microdoses) of 'smart reagents' that fluorescently detect specific bacteria and other agents that can damage the lung. When integrated together these signals will provide highly specific information about the degree or type of lung damage and the potential causative 'bug' if an infection is suspected. Because of the large amount of information generated and in order to make it easily interpreted by doctors, computing experts will convert these signals into easy-to-understand disease readouts for our clinicians. Work on the different elements needed to create this technology platform will be undertaken by groups of chemists, physicists, engineers, computer scientists and biologists working at Bath, Heriot Watt and Edinburgh universities. Crucially, this programme will bring these scientific disciplines together in a "hub" where they will work side-by-side, promoting integration of purpose and to ensure that advances are rapidly translated into the clinical setting. This interdisciplinary hub will also provide a fertile training base for new PhD students who will learn the cross-disciplinary skills that will equip them to meet the challenges of translating the current 'revolution' in physical sciences into benefit for UK healthcare. In summary this project will generate; 1) a new cohort of scientists trained in physical and biological science that have a full appreciation of clinical translational and commercialisation pathways and who are equipped to meet the challenges of converting advances in basic science into healthcare benefit and; 2) a cutting-edge bedside technology platform which will help doctors in the ICU make rapid and accurate diagnoses.

该项目涉及多学科合作，以及在临床环境中利用即将出现的许多新前景和机会。因此，该研究项目汇集了一批世界一流的科学家（物理学家、化学家、工程师和计算机专家）和临床医生，设计、制造和测试尖端的床边技术平台，该平台将帮助重症监护病房（ICU）的医生做出快速、准确的诊断，为治疗提供信息并确保患者快速获得正确的治疗。虽然我们正在开发专注于 ICU 的技术平台，但它也将适用于广泛的其他医疗保健情况。 ICU 患者的死亡率和残疾率很高，并对医疗服务造成不成比例的经济负担。潜在致命的肺部并发症是 ICU 通气患者的常见问题，在 ICU 中照顾这些患者的医生面临着许多挑战，通常需要在没有正确告知这些决定所需的信息的情况下做出快速决定。该项目开发的技术平台将为医生提供有关 ICU 患者状况以及肺部是否有感染、炎症或疤痕的重要信息。目前还没有方法可以准确地做到这一点。这些信息将帮助他们做出治疗决定。一种快速诊断 ICU 肺部并发症的新方法将使医生能够针对适当的患者使用正确的药物，并充满信心地撤药，从而改善患者的治疗效果并显着提高成本效率，从而彻底改变 ICU 护理。利用先进的光纤技术和微电子技术以及新的传感器阵列，我们的突破性解决方案是创建一种新型光纤探针，可以轻松地进入 ICU 的气体交换区域。 ICU患者的肺和血管。该探头将容纳各种特殊光纤，其中一些光纤可以让临床医生“查看”肺部内部，而另一些光纤将经过改造，配备可以测量重要参数的传感器，例如血液和肺部的氧气浓度和酸度。此外，纤维还将提供微量（微剂量）的“智能试剂”，以荧光方式检测特定细菌和其他可能损害肺部的物质。当整合在一起时，这些信号将提供有关肺损伤程度或类型的高度具体信息，以及怀疑感染时潜在的致病“细菌”。由于生成的信息量很大，为了便于医生解读，计算专家会将这些信号转换为临床医生易于理解的疾病读数。创建该技术平台所需的不同要素的工作将由巴斯大学、赫瑞瓦特大学和爱丁堡大学的化学家、物理学家、工程师、计算机科学家和生物学家小组承担。至关重要的是，该计划将把这些科学学科聚集在一个“中心”，在那里它们将并肩工作，促进目标的整合，并确保进步迅速转化为临床环境。这个跨学科中心还将为新博士生提供一个肥沃的培训基地，他们将学习跨学科技能，使他们能够应对将当前物理科学“革命”转化为英国医疗保健效益的挑战。总之，该项目将产生： 1) 一批接受过物理和生物科学培训的新科学家，他们充分了解临床转化和商业化途径，并有能力应对将基础科学进步转化为医疗保健效益的挑战； 2）尖端的床边技术平台，将帮助ICU医生做出快速、准确的诊断。

项目成果

Clinical Optical Molecular Imaging of Drug Engagement in the Alveoli - Sensing of MMP Activity in Interstitial Lung Diseases

肺泡药物参与的临床光学分子成像 - 间质性肺疾病中 MMP 活性的传感

• 发表时间: 2018
• 作者: A. Marshall

T4 Optically detectable antimicrobial peptides enable the immediate detection of bacteria and fungi in the lung

T4 光学可检测抗菌肽能够立即检测肺部细菌和真菌

• DOI: 10.1136/thoraxjnl-2015-207770.4
• 发表时间: 2015
• 期刊: Thorax
• 影响因子: 10
• 作者: Akram A

A labelled-ubiquicidin antimicrobial peptide for immediate in situ optical detection of live bacteria in human alveolar lung tissue.

• DOI: 10.1039/c5sc00960j
• 发表时间: 2015-12-01
• 期刊: Chemical science
• 影响因子: 8.4
• 作者: Akram AR;Avlonitis N;Lilienkampf A;Perez-Lopez AM;McDonald N;Chankeshwara SV;Scholefield E;Haslett C;Bradley M;Dhaliwal K
• 通讯作者: Dhaliwal K

Optical Assessment of Pulmonary Vascular Leak Using a Model of Ex Vivo Lung Perfusion

使用离体肺灌注模型对肺血管渗漏进行光学评估

• 发表时间: 2018
• 作者: A. Marshall

A CMOS SPAD Sensor With a Multi-Event Folded Flash Time-to-Digital Converter for Ultra-Fast Optical Transient Capture

• DOI: 10.1109/jsen.2018.2803087
• 发表时间: 2018-04
• 期刊: IEEE Sensors Journal
• 影响因子: 4.3
• 作者: Tarek Al Abbas;N. Dutton;Oscar Almer;N. Finlayson;Francescopaolo Mattioli Della Rocca;R. Henderson