The identification of the high risk of metabolic syndrome by applying MDR and Jalview bioinformatics programs

S. Alina
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Abstract

The metabolic syndrome (MS) is a complex multi-factorial disease associated with obesity (OB), type 1 diabetes (DM1), type 2 diabetes (DM2) and high blood pressure (HBP). The metabolic and nutritional factors, complemented by the interactions between the genome and the environmental conditions mediated by epigenetic mechanisms, and play important role in the genesis of obesity, diabetes mellitus and high blood pressure.1 The purpose of study was to identify the risk of developing MS in patients diagnosed with obesity (OB), DM1, DM2 and high blood pressure (HBP) by using the MDR and Jalview programs, on the basis of clinical, laboratory (biochemical, hematological) and genetic data.
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通过应用耐多药和Jalview生物信息学程序识别代谢综合征的高风险
代谢综合征(MS)是一种复杂的多因素疾病,与肥胖(OB)、1型糖尿病(DM1)、2型糖尿病(DM2)和高血压(HBP)相关。代谢和营养因素,加上基因组与环境条件的相互作用,通过表观遗传机制介导,在肥胖、糖尿病和高血压的发生中发挥重要作用本研究的目的是在临床、实验室(生化、血液学)和遗传学数据的基础上,利用MDR和Jalview程序,确定诊断为肥胖(OB)、DM1、DM2和高血压(HBP)的患者发生MS的风险。
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