Adipose Metabolic Profiling for Obesity Drug Targeting

描述(由申请人提供)：这项研究计划的长期目标是确定作用于Wat的减肥药物的潜在靶点。在发达国家，肥胖日益成为一个主要的健康问题，特别是美国的流行病学数据表明，体脂(白色脂肪组织，WAT)质量增加是肥胖的主要原因，肥胖的发生既有脂肪细胞大小的增加，也有脂肪细胞数量的增加。目前的饮食疗法的效果大多是可逆的，只有不到10%的减肥者能够保持减肥。最近的证据描绘了脂肪组织内代谢调节的日益复杂的图景，脂肪组织分泌调节脂肪细胞和全身能量代谢的自分泌、旁分泌和内分泌因子。根据这幅图，减少食物摄入量或抑制消化脂肪吸收的一个有希望的替代方案是通过直接影响脂肪细胞代谢来减少水分质量。认识到细胞代谢调节的复杂性，本研究采取了一种新颖的、面向系统的方法。解决基因和蛋白质表达谱研究留下的知识空白，这项建议侧重于获得关于肥胖和非肥胖脂肪细胞生长的全面代谢信息。该项目的进展是：1)开发肥胖和正常脂肪细胞生长的组织工程模型系统，2)分析与细胞外代谢物浓度和细胞内代谢通量相关的变化，以及3)识别脂肪细胞生长的不同阶段(前期和成熟脂肪细胞)和/或类型(肥胖和正常)的鉴别标志物。这些特定的目标将通过执行以下任务来实现：a)比较肥胖(Ob17)和非肥胖(3T3-L1)脂肪细胞前体细胞的分化和生长，首先在静态培养中，然后在生物反应器培养中。除其他外，将在形态、生化功能(包括胰岛素敏感性)和生长速度等方面进行比较。微流控生物反应器实验将对共培养的Ob17和3T3-L1细胞进行比较，b)生成包含所有主要主要碳水化合物、氨基酸和脂肪代谢物在培养基中的浓度变化的代谢谱文库。主要的分析方法将是液相色谱，c)使用已建立的建模方法生成并行代谢流量库，d)对代谢物和流量库进行多变量判别分析，以确定每个生长条件的重要标记。这些程序的预期结果是一个全面的代谢谱和标志物资料库，可以捕捉肥胖和正常脂肪生长的广泛和独特的特征。这一知识成果标志着在功能水平上在脂肪能量代谢的全球研究中迈出了重要的第一步，并应成为进一步研究作为减肥药物靶点的脂肪生长主要驱动反应的必要信息平台。

DESCRIPTION (provided by applicant): The long-term objective of this research program is to identify potential targets for obesity drugs that act on WAT to reduce body fat. Obesity is increasingly becoming a leading health problem in developed countries, especially the U.S. Epidemiological data point to increased body fat (white adipose tissue, WAT) mass as a chief contributor to obesity, which occurs both by increases in fat cell size and number. The effects of current dietary therapies are mostly reversible, and less than 10 % of those who lose weight are able to maintain the weight loss. Recent evidence paints an increasingly complex picture of metabolic regulation within the adipose tissue, which secretes autocrine, paracrine, and endocrine factors that regulate adipose cellular and whole body energy metabolism. In light of this picture, a promising alternative to reducing food intake or inhibiting digestive fat absorption is to reduce WAT mass by directly influencing adipose cellular metabolism. Recognizing the complexity of cellular metabolic regulation, this research takes a novel, systems oriented approach. Addressing the knowledge gap left by gene and protein expression profiling studies, this proposal focuses on obtaining comprehensive metabolic information on obese and non-obese adipose cellular growth. The project develops by: 1) developing tissue-engineered model systems for obese and normal adipose cellular growth, 2) profiling associated changes to extracellular metabolite concentrations and intracellular metabolic fluxes, and 3) identifying discriminatory markers characteristic of the various stages (pre- vs. mature adipocyte) and/or types (obese vs. normal) of adipose cellular growth. These specific aims will be achieved by performing the following tasks: a) Compare the differentiation and growth of obese (Ob17) and non-obese (3T3-L1) adipocyte precursor cells, first in static, then bioreactor cultures. Comparisons will be made, among others, on the basis of morphology, biochemical function (including insulin sensitivity), and growth rate. Micro-fluidic bioreactor experiments will perform comparisons of Ob17 and 3T3-L1 cells in co-culture, b) Generate metabolic profile libraries encompassing concentration changes for all major primary carbohydrate, amino acid, and lipid metabolites in culture media. The primary analytical method will be liquid chromatography, c) Generate parallel metabolic flux libraries using established modeling methodologies, d) Perform multivariate discriminant analysis on the metabolite and flux libraries to identify significant markers for each of the growth conditions. The expected outcome of these procedures is a comprehensive library of metabolic profiles and markers that capture both broad and unique features of obese and normal adipose growth. This knowledge output marks a significant first step, at the functional level, in the global study of adipose energy metabolism, and should serve as a necessary information platform for further studies that investigate major driving reactions in adipose growth as obesity drug targets.