Development of an Integrated Platform for Quantitative Analysis of Haemodynamics in Small Blood Vessels

小血管血流动力学定量分析集成平台的开发

• 批准号: G0902318/1
• 负责人: Xue-Feng Yuan
• 金额: $ 12.97万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=G0902318%2F1
• 关键词: Development; Integrated; Platform; Quantitative; Analysis

Blood is full of information about the functioning of cells, tissues and organs in the body. An increasing amount of clinical and experimental evidence shows that the flow behaviour and rheological abnormalities of blood correlate strongly with various diseases. Increased whole blood viscosity and red blood cell (RBC) aggregation have been observed in patients with risk factors for cardiovascular disease. Plasma viscosity has been suggested as an early atherosclerotic risk factor for obese subjects. Increased fibrinogen levels, plasma viscosity and whole blood viscosity seem to be associated with insulin resistance and metabolic syndrome. It is known that the majority of patients develop Type-2 diabetes as a result of the increased prevalence of obesity leading to insulin resistance and ultimately overt Type-2 Diabetes mellitus. The consequences of this disease are accelerated by other risk factors, which are often seen clustering in such patients, including hypertension and hypercholesterolaemia. These risks are further accentuated if patients smoke cigarettes. As the most evidences are scattered in the literatures and merely in a descriptive form, development of an integrated platform for high-throughput biomolecular, rheological and haemodynamic characterisation, and for cross-correlation analysis of large data sets obtained from various experimental and computational methods will be the first step toward quantitative understanding the pathogenesis of cardiovascular diseases from a viewpoint of systems biology. It is of great significance in development of in vitro vascular tissue model, novel Point-of-Care diagnostic kits and therapeutic methods for monitoring, prevention and better treatments of the diseases. The proposed discipline hopping from the School of Engineering and Analytic Science to the Cardiovascular Research Group in School of Medicine will facilitate applications of quantitative tools from physical sciences and engineering in medical sciences and healthcare sectors, hence develop innovative technology for patient benefit.

血液充满了有关体内细胞、组织和器官功能的信息。越来越多的临床和实验证据表明，血液的流动行为和流变学异常与各种疾病密切相关。在有心血管疾病危险因素的患者中观察到全血粘度和红细胞（RBC）聚集增加。血浆粘度被认为是肥胖受试者的早期动脉粥样硬化危险因素。纤维蛋白原水平、血浆粘度和全血粘度增加似乎与胰岛素抵抗和代谢综合征有关。众所周知，大多数患者患上 2 型糖尿病是由于肥胖患病率增加导致胰岛素抵抗并最终导致明显的 2 型糖尿病。其他危险因素会加速这种疾病的后果，这些危险因素经常聚集在此类患者中，包括高血压和高胆固醇血症。如果患者吸烟，这些风险会进一步加剧。由于大多数证据分散在文献中并且仅以描述性形式存在，因此开发一个用于高通量生物分子、流变学和血液动力学表征的集成平台，以及对从各种实验和计算方法获得的大数据集进行互相关分析，将是从系统生物学的角度定量理解心血管疾病发病机制的第一步。这对于开发体外血管组织模型、新型即时诊断试剂盒和治疗方法以监测、预防和更好地治疗疾病具有重要意义。拟议的从工程与分析科学学院到医学院心血管研究组的学科跳跃将促进物理科学和工程学的定量工具在医学和医疗保健领域的应用，从而开发创新技术以造福患者。