Pharmacokinetic/pharmacodynamic (PK/PD) studies of human regular U-500 insulin (U-500R) at high doses commonly used in clinical practice (>100 units) have not been performed. The current analysis applied PK/PD modeling/simulation to fit the data and simulate single-dose and steady-state PK/PD of U-500R high-dose regimens. Data from 3 single-dose euglycemic clamp studies in healthy obese and normal-weight patients, and normal-weight patients with type 1 diabetes were used to build the model. The model was sequential (PK inputs fed into PD component). PK was described using a 1-compartment model with first-order absorption and elimination. The model estimated separate absorption rate constants for U-500R and human regular U-100 insulin. The PD component used an effect compartment model, parameterized in terms of maximum pharmacologic effect (E(max)) and concentration to achieve 50% of E(max). The model described the data well. Steady-state PK for once-daily (QD), twice-daily (BID), or thrice-daily (TID) administration appeared to be reached 24 hours after the first dose. At steady-state, QD dosing showed the greatest fluctuations in PK/PD. BID dosing showed a gradual increase in insulin action with each dose and a fairly stable basal insulin effect. For TID dosing, activity was maintained throughout the dosing interval. PK/PD modeling/simulation of high U-500R doses supports BID or TID administration with an extended duration of activity relative to QD. TID dosing may provide slightly better full-day insulin effect. Additional PK/PD studies and randomized controlled trials of U-500R are needed to validate model predictions in patients with insulin-resistant diabetes requiring high-dose insulin.
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http://dx.doi.org/10.1177/1932296814532326 | DOI Listing |
Sci Rep
December 2024
School of Public Health, Heinz Mehlhorn Academician Workstation, Hainan Medical University, Haikou, 571199, Hainan, China.
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December 2024
Department of Public Health, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran.
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December 2024
College of Physical Education, Jilin Normal University, Siping, 136000, Jilin, China.
In the context of an aging population, older adults increasingly face the challenge of managing multiple chronic conditions simultaneously. This study utilized analytical methods such as propensity score matching (PSM) and multivariate logistic regression, to explore the relationship between physical activity and the number of chronic diseases as well as the risk of developing co-morbidities among middle-aged and elderly Chinese individuals using data from the 2020 China Health and Retirement Longitudinal Survey. The PSM results showed that physical activity decreased the number of chronic diseases in middle-aged and elderly people by 0.
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December 2024
Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
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December 2024
Department of Psychology, Hunan Normal University, Changsha, China; Cognition and Human Behavior Key Laboratory of Hunan Province, Hunan Normal University, Changsha, China; Institute of Interdisciplinary Studies, Hunan Normal University, Changsha, China; Center for Mind & Brain Sciences, Hunan Normal University, Changsha, China. Electronic address:
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