课题基金 / 基金详情

HUMAN MODELS OF SICKLE CELL VASCULAR DAMAGE

HUMAN MODELS OF SICKLE CELL VASCULAR DAMAGE
镰状细胞血管损伤的人体模型
批准号:
7368248
负责人:
THOMAS Duane COATES
金额:
$2.61万
依托单位国家:
美国
项目类别:
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-12-01 至 2006-11-30

项目摘要

项目成果

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中文摘要
翻译
该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子项目和研究者(PI)可能从另一个NIH来源获得了主要资金,因此可以在其他CRISP条目中表示。所列机构为中心,不一定是研究者所在机构。将在正常对照组和镰状细胞性贫血受试者中研究真皮毛细血管血流和输送至深部组织的血氧对短暂缺氧的反应。这些反应将被标准化,以便以后可以用于研究可能改善血流和氧气输送的药物干预。 将通过磁共振成像测量血氧水平输送,并使用激光多普勒血流测量真皮毛细血管血流。
英文摘要
This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Changes in dermal capillary blood flow and blood oxygen delivered to deep tissue in response to a brief period of hypoxia will be studied in normal controls and subjects with sickle cell anemia. These responses will be standardized so they can later be used to study pharmacological interventions that may improve blood flow and oxygen delivery. Blood oxygen level delivery will be measured by magnetic resonance imaging and dermal capillary blood flow will be measured using laser-Doppler flow.
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会议论文
Multimodal biophysical markers of vascular disease in hemoglobinopathies
  • 批准号:
    8468258
  • 项目类别:
  • 资助金额:
    $194.14万
  • 财政年份:
    2013
  • 负责人:
    THOMAS Duane COATES
  • 依托单位:
Multimodal biophysical markers of vascular disease in hemoglobinopathies
  • 批准号:
    8866458
  • 项目类别:
  • 资助金额:
    $188.95万
  • 财政年份:
    2013
  • 负责人:
    THOMAS Duane COATES
  • 依托单位:
Multimodal biophysical markers of vascular disease in hemoglobinopathies
Multimodal biophysical markers of vascular disease in hemoglobinopathies
  • 批准号:
    8722608
  • 项目类别:
  • 资助金额:
    $187.99万
  • 财政年份:
    2013
  • 负责人:
    THOMAS Duane COATES
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
新型手性NAD(P)H Models合成及生化模拟