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精准医疗下的肥胖症基础与临床研究
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摘要: 肥胖在我国和世界范围均已成为严重的健康问题。在人类进入精准医学时代，随着基因组学等分子生物学的技术进步，肥胖的基础与临床研究取得了很大的进展。但由于肥胖是大量异质性很大的疾病群构成，随着精准医学研究的深入，对曾经认同的肥胖的诊断和分类提出了诸多挑战，目前仍缺少可用于临床实践和商业化的疾病预测模型。在肥胖研究中，经典细胞因子和脂肪因子外的胃肠激素及相关分子、摄食相关信号通路蛋白等蛋白分子标志物和肠道基因组学等分子生物学研究是精准医疗研究的基础，加强整合个体化及群体性的分子生物学和遗传学研究，最终为肥胖症在精准医疗下向临床应用转化奠定基础。
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关键词:
- 肥胖 精准医学 疾病预测 基因组学
Abstract: Obesity now already becomes a critical health problem in our country and the world. Since the genomic and biochemical technology has developed in the era of precision medicine, great progression has been achieved in the field of obesity research and clinical practice. Obesity is considered to be a series of diseases with high heterogeneity beyond expectations, which brings up the challenges on its diagnosis and classification. Predictive models for obesity remain absent in clinical practice and commercial use. It is important to further understand the roles of gastric hormones and related molecules, proteins in feeding and reward system, as well as gut microbiota in obesity and associated diseases. The diagnosis and treatment of obesity require further progression in molecular biology and genetics with fruitful investigation of precision medicine, which might help the clinical translation in future. -
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期刊类型引用(4)
1. 贾佳，施荣伟，郑凯，刘敬顺，刘泽萱，张舒，阮园，叶丽芳，徐小萍. 南京市中学生超重肥胖现状及影响因素的研究. 发育医学电子杂志. 2020(02): 135-139 . 
百度学术
2. 郭淑香，李润香. 某高校男性教职工脂肪肝与体质量指数相关性分析. 河南医学高等专科学校学报. 2019(05): 648-650 . 百度学术
3. 袁丽洁，李敏，雷涛. 基于支持向量机的医护资源需求预测. 护理学杂志. 2018(15): 55-58 . 百度学术
4. 李舍予，袁祥，李双庆，田浩明. 关注肥胖防控中的睡眠健康. 中国全科医学. 2017(11): 1282-1287 . 百度学术
其他类型引用(2)
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