Genomic/Proteomic Premature Birth Research Clinical Core

基因组/蛋白质组早产研究临床核心

基本信息

项目摘要

DESCRIPTION (provided by applicant): The University of Texas Medical Branch (UTMB) has the required elements to actively participate as a clinical site in the Genomic and Proteomic Network for Premature Birth Research. The PI, Radoslaw Bukowski, and the co-I, George Saade, bring extensive experience with study design, recruitment, data analysis, and publications from several NIH multisite clinical trials (First and Second Trimester Evaluation of Risk of Aneuploidy [FASTER], Stillbirth Collaborative Research Network [SCRN], Twin-Twin Transfusion Syndrome Trial [TTTS], and Beneficial Effects of Antenatal Magnesium Sulfate Study [BEAM]). We achieve successful patient recruitment/retention by partnering with our Department's broad Regional Maternal & Child Health Program (RMCHP). The RMCHP provides prenatal care to over 11,000 pregnant women a year, with over 6,000 of them delivering at the UTMB hospital in Galveston as high-risk pregnancies. All RMCHP clinics follow protocols set by the Maternal-Fetal Medicine Division. Our clinical infrastructure and population prepare us well to participate in the Network as we deliver over 500 premature pregnancies a year, 89% of then: resulting from spontaneous preterm labor and 97% receiving prenatal care in our system. The Department's Electronic Medical Record System captures antepartum and intrapartum information, entered on-line and readily available for query by authorized investigators. The Department's team of dedicated research nurses and coordinators (Chairman's Research Group) and the Tissue Bank have broadened efficiency in clinical investigations. The excellent and productive collaboration between PI and Co-I offers further benefits to the Network. Jennifer Lee and Aimee Jackson, who will serve as our Research Coordinators, bring considerable experience as established coordinators for NIH multi-site trials. Our Department has a productive and well-funded basic science research group, with expertise in many areas of relevance to the RFA such as molecular mechanisms of uterine contractility and cervical ripening, animal models of preterm labor, infection, vascular physiology, placental function, and fetal growth. Finally, we have well-established collaborative ties with our University's Division of Neonatology. The PI and co-1, as well as UTMB overall, have particular interest in genomics and proteomics as applied to the uterus in labor and infection/ inflammation. Our concept protocols propose to examine networks of co-expressed genes in the uterus during preterm birth. We accept the RFA's capitation and participatory stipulations and stand ready to contribute as a member of the Network.
描述(由申请人提供):德克萨斯大学医学分支机构(UTMB)具有积极参与临床现场的所需要素,以进行早产研究的基因组和蛋白质组学网络。 The PI, Radoslaw Bukowski, and the co-I, George Saade, bring extensive experience with study design, recruitment, data analysis, and publications from several NIH multisite clinical trials (First and Second Trimester Evaluation of Risk of Aneuploidy [FASTER], Stillbirth Collaborative Research Network [SCRN], ​​Twin-Twin Transfusion Syndrome Trial [TTTS], and Beneficial Effects of硫酸镁研究[Beam])。我们通过与部门广泛的区域产妇和儿童健康计划(RMCHP)合作实现了成功的患者招聘/保留。 RMCHP每年为11,000多名孕妇提供产前护理,其中6,000多名在加尔维斯顿的UTMB医院作为高风险怀孕。所有RMCHP诊所都遵循母亲 - 私人医学部设定的方案。我们的临床基础设施和人口为我们做好了很好的准备,可以为网络做好准备,因为我们每年进行500多次过早怀孕,占该网络的89%:由自发的早产劳动和97%的人在系统中获得产前护理。该部门的电子医疗记录系统捕获了在线输入的天气和内部信息,并随授权的调查人员随时可用于查询。该部门专门的研究护士和协调员(主席研究小组)和组织库团队扩大了临床研究的效率。 PI和Co-I之间的出色和富有成效的合作为网络带来了进一步的好处。詹妮弗·李(Jennifer Lee)和艾米·杰克逊(Aimee Jackson)将担任我们的研究协调员,为NIH多站点试验提供了丰富的经验。我们的部门拥有一个富有成效的基础科学研究小组,在与RFA相关的许多领域中具有专业知识,例如子宫收缩性和宫颈成熟的分子机制,早产劳动,感染,血管生理,胎盘功能和胎儿生长的动物模型。最后,我们与大学的新生儿学系有了良好的合作关系。 PI和CO-1以及UTMB总体上对劳动和感染/炎症的子宫的基因组学和蛋白质组学具有特别感兴趣。我们的概念方案建议在早产期间检查子宫中共表达基因的网络。我们接受RFA的角色和参与式规定,并准备作为网络成员做出贡献。

项目成果

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RADOSLAW K. BUKOWSKI其他文献

RADOSLAW K. BUKOWSKI的其他文献

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{{ truncateString('RADOSLAW K. BUKOWSKI', 18)}}的其他基金

Genomic/Proteomic Premature Birth Research Clinical Core
基因组/蛋白质组早产研究临床核心
  • 批准号:
    7169855
  • 财政年份:
    2006
  • 资助金额:
    $ 30.63万
  • 项目类别:

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