MAGNESIUM SUPPLEMENTS, PLASMA INFLAMMATORY MARKERS, AND GENE EXPRESSION IN OVER

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。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 研究中心，而研究中心不一定是研究者所在的机构。 具体目标 我们建议在代谢综合征患者中进行一项随机、安慰剂对照的初步试验，主要目的是研究补充镁对各种传统和非传统炎症和糖尿病状态标志物的影响，包括： 1. 胰岛素敏感性和葡萄糖反应。 2. 血脂包括总胆固醇、低密度脂蛋白胆固醇（LDL）、高密度脂蛋白胆固醇（HDL）和甘油三酯（TG）。 3. 血液电解质状态包括镁、钙和钾。 4. 血浆炎症标志物、性激素和内皮标志物，如C反应蛋白（CRP）、E选择素、细胞间粘附分子（ICAM）、血管细胞粘附分子（VCAM）、肿瘤坏死因子？1（TNF-？），白细胞介素-6（IL-6）、睾酮、雌二醇、性激素结合球蛋白、纤溶酶原激活物抑制剂-1（PAI-1）和纤维蛋白原。 5. 使用微阵列技术进行全血基因表达谱分析。 6. 应用微阵列技术进行血清基因表达谱分析。 7. 利用微阵列技术进行唾液基因表达分析。 我们的次要目的是比较唾液与全血和血清中评估的转录组谱的相关性/可靠性。

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. SPECIFIC AIMS We propose to conduct a randomized, placebo-controlled pilot trial in patients with metabolic syndrome with the primary aim of studying the effect of magnesium supplementation on various traditional and non-traditional markers of inflammation and diabetic status which includes: 1. Insulin sensitivity and glucose response. 2. Blood lipids including total cholesterol, low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglycerides (TG). 3. Blood electrolyte status including magnesium, calcium, and potassium. 4. Plasma inflammatory markers, sex hormones and endothelial markers such as C-reactive protein (CRP), E-selectin, intercellular adhesion molecule (ICAM), Vascular cell adhesion molecule (VCAM), Tumor necrosis factor ?-1 (TNF- ?), interlukin-6 (IL-6), testosterone, estradiol, sex hormone binding globulin, plasminogen activator inhibitor-1 (PAI-1) and fibrinogen. 5. Whole blood gene expression profiling using microarray technology. 6. Serum gene expression profiling using microarray technology. 7. Saliva gene expression profiling using microarray technology. Our secondary aim is to compare the correlation/reliability of transcriptome profiling assessed in saliva versus whole blood and serum.