Modeling approaches to type 2 diabetes.
Modeling approaches to type 2 diabetes.
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DOI：
10.1089/152091504322783396
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发表时间：
2004-02-01
影响因子：
5.4
通讯作者：
Kansal, Anuraag R
中科院分区：
文献类型：
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作者：
Kansal, Anuraag R
2型糖尿病的发病率正在迅速增加，但临床维持正常血糖仍然具有挑战性。糖尿病的系统性、多因素特征是其治疗如此困难的关键原因。在过去的25年里，已经开发了许多数学和计算模型来研究这种疾病。这些模型提供的承诺，在确定潜在的疾病病理生理学在个别患者和理解一般的病理生理学特征的疾病在大的人群。为了最有效地利用这些模型，有必要了解每个模型的优点和局限性。这篇综述概述了可用于糖尿病研究的模型的选择，特别关注每个模型非常适合的问题类型以及限制如何使用每个模型的局限性。
The incidence of type 2 diabetes is increasing rapidly, but clinical maintenance of normoglycemia remains challenging. The systemic, multifactorial character of diabetes is a key reason its treatment is so difficult. In the past 25 years, a number of mathematical and computational models have been developed to study this disease. These models offer promise in identifying the underlying disease pathophysiology in individual patients and in understanding the general pathophysiology characterizing the disease in large populations. To exploit these models most effectively, it is necessary to understand both the strengths and limitations of each model. This review outlines a selection of the models available for the study of diabetes, with a particular focus on the types of problems for which each model is well suited and the limitations that restrict how each model can be used.