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镰状细胞病血管阻塞风险的生物物理指标。

A biophysical indicator of vaso-occlusive risk in sickle cell disease.

机构信息

Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

出版信息

Sci Transl Med. 2012 Feb 29;4(123):123ra26. doi: 10.1126/scitranslmed.3002738.

Abstract

The search for predictive indicators of disease has largely focused on molecular markers. However, biophysical markers, which can integrate multiple pathways, may provide a more global picture of pathophysiology. Sickle cell disease affects millions of people worldwide and has been studied intensely at the molecular, cellular, tissue, and organismal level for a century, but there are still few, if any, markers quantifying the severity of this disease. Because the complications of sickle cell disease are largely due to vaso-occlusive events, we hypothesized that a physical metric characterizing the vaso-occlusive process could serve as an indicator of disease severity. Here, we use a microfluidic device to characterize the dynamics of "jamming," or vaso-occlusion, in physiologically relevant conditions, by measuring a biophysical parameter that quantifies the rate of change of the resistance to flow after a sudden deoxygenation event. Our studies show that this single biophysical parameter could be used to distinguish patients with poor outcomes from those with good outcomes, unlike existing laboratory tests. This biophysical indicator could therefore be used to guide the timing of clinical interventions, to monitor the progression of the disease, and to measure the efficacy of drugs, transfusion, and novel small molecules in an ex vivo setting.

摘要

对疾病预测指标的研究主要集中在分子标志物上。然而,生物物理标志物可以整合多个途径,从而更全面地了解病理生理学。镰状细胞病影响着全球数百万人,一个世纪以来,人们在分子、细胞、组织和机体水平上对其进行了深入研究,但仍几乎没有任何标志物可以量化这种疾病的严重程度。由于镰状细胞病的并发症主要是由于血管阻塞事件引起的,我们假设可以将一种物理指标来描述血管阻塞过程,作为疾病严重程度的指标。在这里,我们使用微流控设备在生理相关条件下对“阻塞”或血管阻塞的动力学进行了表征,通过测量在突然脱氧事件后量化流动阻力变化率的生物物理参数。我们的研究表明,与现有实验室测试相比,这个单一的生物物理参数可用于区分预后不良和预后良好的患者。因此,这种生物物理指标可用于指导临床干预的时机,监测疾病的进展,并在体外环境中测量药物、输血和新型小分子的疗效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bd7/3633235/8f86b7df000b/nihms435081f1.jpg

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