A Glucose-Only Model to Extract Physiological Information from Postprandial Glucose Profiles in Subjects with Normal Glucose Tolerance.
A Glucose-Only Model to Extract Physiological Information from Postprandial Glucose Profiles in Subjects with Normal Glucose Tolerance.
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DOI：
10.1177/19322968211026978
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发表时间：
2022-11
影响因子：
5
通讯作者：
Hattersley, John G.
中科院分区：
文献类型：
--
作者：
Eichenlaub, Manuel M.;Khovanova, Natasha A.;Gannon, Mary C.;Nuttall, Frank Q.;Hattersley, John G.
目前糖耐量正常和受损人群的餐后葡萄糖代谢数学模型依赖于胰岛素测量，因此不适用于临床实践。本研究旨在开发一种模型，仅需要葡萄糖数据即可进行参数估计，同时还提供有关胰岛素敏感性、胰岛素动态和与膳食相关的葡萄糖外观 (GA) 的有用信息。所提出的纯葡萄糖模型 (GOM) 基于葡萄糖动力学的口服最小模型 (OMM)，并用依赖于葡萄糖水平和 GA 的新函数替代胰岛素动力学。利用贝叶斯方法和 22 名具有正常糖耐量的受试者的葡萄糖数据进行参数估计。为了验证 GOM 的结果，将使用来自同一受试者的葡萄糖和胰岛素数据获得的 OMM 结果进行比较。所提出的 GOM 以与 OMM 相当的精度描述了葡萄糖动力学，RMSE 分别为 5.1±±2.3mg/dL 和 5.3±±2.4mg/dL，并且包含与 OMM 估计的胰岛素敏感性显着相关的参数 (r = 0.7) 此外，GOM 推断的 GA 时间曲线和胰岛素动力学的动态特性与OMM的相应结果表现出高度相似性。所提出的 GOM 可用于提取具有正常糖耐量的受试者的葡萄糖代谢的有用生理信息。该模型可以进一步开发，用于在连续血糖监测数据下糖耐量受损患者的临床应用。
Current mathematical models of postprandial glucose metabolism in people with normal and impaired glucose tolerance rely on insulin measurements and are therefore not applicable in clinical practice. This research aims to develop a model that only requires glucose data for parameter estimation while also providing useful information on insulin sensitivity, insulin dynamics and the meal-related glucose appearance (GA). The proposed glucose-only model (GOM) is based on the oral minimal model (OMM) of glucose dynamics and substitutes the insulin dynamics with a novel function dependant on glucose levels and GA. A Bayesian method and glucose data from 22 subjects with normal glucose tolerance are utilised for parameter estimation. To validate the results of the GOM, a comparison to the results of the OMM, obtained by using glucose and insulin data from the same subjects is carried out. The proposed GOM describes the glucose dynamics with comparable precision to the OMM with an RMSE of 5.1 ± 2.3 mg/dL and 5.3 ± 2.4 mg/dL, respectively and contains a parameter that is significantly correlated to the insulin sensitivity estimated by the OMM (r = 0.7) Furthermore, the dynamic properties of the time profiles of GA and insulin dynamics inferred by the GOM show high similarity to the corresponding results of the OMM. The proposed GOM can be used to extract useful physiological information on glucose metabolism in subjects with normal glucose tolerance. The model can be further developed for clinical applications to patients with impaired glucose tolerance under the use of continuous glucose monitoring data.
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DOI：
10.1016/j.physd.2009.08.002
发表时间：
2009-11-01
期刊：
Physica D. Nonlinear phenomena
影响因子：
--
作者：
Daunizeau J;Friston KJ;Kiebel SJ
通讯作者：
Kiebel SJ
影响因子：
8.2
作者：
AHMED, M;GANNON, MC;NUTTALL, FQ
通讯作者：
NUTTALL, FQ
影响因子：
4.3
作者：
Daunizeau J;Adam V;Rigoux L
通讯作者：
Rigoux L
影响因子：
3.5
作者：
Ajmera, I;Swat, M;Laibe, C;Le Novere, N;Chelliah, V
通讯作者：
Chelliah, V
DOI：
10.1007/978-3-319-45015-5_11
发表时间：
2018-01-01
期刊：
DIABETES: EPIDEMIOLOGY, GENETICS, PATHOGENESIS, DIAGNOSIS, PREVENTION, AND TREATMENT
影响因子：
--
作者：
Bonadonna, Riccardo C.;Boselli, Linda;Trombetta, Maddalena
通讯作者：
Trombetta, Maddalena