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进食障碍数据库的建立及其在识别与进食障碍相关的扩展脂肪细胞因子信号通路中的应用

, PP. 960-971

Keywords: 进食障碍,数据库,脂肪细胞因子信号通路,通路分析

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Abstract:

进食障碍是一种生理和心理上的进食失调,影响了世界范围近1%的女性人群.尽管已广泛开展了针对此疾病遗传角度的流行病学研究,但其分子机制仍需进一步阐释.近期,高通量技术被广泛应用于发现复杂疾病中可能的致病基因以及其潜在的致病机理.本研究首次收集了大量文献报道的与进食障碍有关的基因,建立了进食障碍相关的数据库,以期对进食障碍的分子机制进行初步了解.EDdb数据库包括了从发表的文献中收集的有实验验证的与进食障碍有关的59个基因,并将这些基因作为核心数据集.根据核心数据集,利用蛋白-蛋白相互作用信息、基因共享的染色体条带信息及疾病相关信息扩展出其他4个数据集,这4个数据集包括了2824个潜在的进食障碍相关基因,这些基因分布在601个基因组区间.根据人的蛋白-蛋白相互作用数据,重建了可能的与进食障碍相关的分子相互作用网络.进一步,利用代谢通路富集性分析方法,识别出EDdb中的3个基因ADIPO,TNF和NR3C1可以将KEGG中的"脂肪细胞因子信号通路"和BioCarta中的"内脏脂肪沉着和代谢综合征"2个通路结合在一起,得到一个与进食障碍相关的扩展的脂肪细胞因子信号通路.在这个扩展通路中共包括43个基因,其中39个基因与进食障碍有关.本研究构建了第一个进食障碍相关的基因数据库,其中的各种数据信息将有助于对进食障碍的研究,揭示其中的基因和疾病关系.通过初步的统计分析,发现进食障碍引起的体重失调和肥胖可能与本研究发现的扩展通路的调节障碍有关,并且这个扩展通路也可能与不健康的生活习惯引起的体重失调等复杂疾病有关.

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