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利用血氧水平依赖性功能磁共振成像对镰状细胞病患者脑血流动力学的新识别

Novel identifications of cerebral hemodynamics using BOLD fMRI in patients with sickle cell disease.

作者信息

Kish Brianna, Yao Jinxia Fiona, Frels Andrew John, Budde Jessica, Vijayakrishnan Nair Vidhya, Pucka Andrew Q, Liu Ziyue, O'Brien Andrew Rw, Tong Yunjie, Wang Ying

机构信息

Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.

Department of Anesthesia, Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States.

出版信息

Imaging Neurosci (Camb). 2025 May 16;3. doi: 10.1162/IMAG.a.1. eCollection 2025.

Abstract

Sickle cell disease (SCD) is a genetic blood disorder characterized by the production of abnormal hemoglobin known as hemoglobin S, which leads to reduced oxygen-carrying capacity of the blood. This reduced blood oxygenation can trigger cerebrovascular remodeling, leading to a higher risk of cerebrovascular disease and cognitive impairment. Despite growing evidence of the importance of cerebrovascular health in managing SCD, the lack of specific diagnostic tools makes this area an underutilized target in clinical care. In this cross-sectional study, we aimed to investigate the hemodynamic mechanisms of SCD through functional magnetic resonance imaging (fMRI) and their relationship with hematological parameters. In this pioneering study, we utilized the patterns of systemic low-frequency oscillations within the blood oxygen level-dependent fMRI signal to discern oxygen levels in the brain and characterize distinct blood flow patterns in patients with SCD. We formulated a unique model that revealed two blood flow patterns in SCD patients: firstly, an abnormal rapid flow pattern through arterio-venous shunting, where highly oxygenated blood reaches the superior sagittal sinus prematurely, circumventing most capillaries; secondly, a normal flow pattern, wherein normally oxygenated blood reaches the superior sagittal sinus after traversing through the capillaries. Our findings indicate that both flow patterns coexist in SCD patients, but in those with more severe blood abnormalities, the rapid flow pattern predominates. This study marks the first instance of employing fMRI to investigate the rich hemodynamic information in SCD patients. The results hold significant potential for the development of non-invasive hemodynamic biomarkers to gauge cerebrovascular health in SCD.

摘要

镰状细胞病(SCD)是一种遗传性血液疾病,其特征是产生异常血红蛋白,即血红蛋白S,这会导致血液的携氧能力降低。这种血液氧合减少会引发脑血管重塑,导致脑血管疾病和认知障碍的风险增加。尽管越来越多的证据表明脑血管健康在SCD管理中很重要,但缺乏特定的诊断工具使得该领域在临床护理中未得到充分利用。在这项横断面研究中,我们旨在通过功能磁共振成像(fMRI)研究SCD的血流动力学机制及其与血液学参数的关系。在这项开创性研究中,我们利用血氧水平依赖性功能磁共振成像信号中的全身低频振荡模式来识别大脑中的氧水平,并表征SCD患者不同的血流模式。我们构建了一个独特的模型,该模型揭示了SCD患者的两种血流模式:首先,一种通过动静脉分流的异常快速血流模式,即高氧血液过早到达上矢状窦,绕过了大多数毛细血管;其次,一种正常血流模式,即正常氧合的血液在穿过毛细血管后到达上矢状窦。我们的研究结果表明,这两种血流模式在SCD患者中并存,但在血液异常更严重的患者中,快速血流模式占主导。这项研究标志着首次采用功能磁共振成像来研究SCD患者丰富的血流动力学信息。这些结果对于开发用于评估SCD脑血管健康的非侵入性血流动力学生物标志物具有重要潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7661/12319992/d41eb4ed7458/imag_a_1_fig1.jpg

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