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331.
Effects of Low-Viscosity Sodium Hyaluronate Preparation on the Pulmonary Absorption of rh-Insulin in Rats 总被引:5,自引:0,他引:5
Kazuhiro Morimoto Kunihiko Metsugi Hideyuki Katsumata Kazunori Iwanaga Masawo Kakemi 《Drug development and industrial pharmacy》2001,27(4):365-371
Purpose: A low-viscosity formulation for pulmonary delivery of rh-insulin as model peptide drugs was developed using a solution of sodium hyaluronate. Method: The effects of different concentrations and pH values of low-viscosity solutions of hyaluronate on the pulmonary absorption of rh-insulin were examined after intratracheal administration in rats. The permeation of fluorescein isothiocyanate (FITC)-dextran(molecular weight 4300; FD-4) and insulin through excised rat trachea in vitro were also examined. Results: The hyaluronate (2140 kDa) solutions (0.1% and 0.2%w/v) at pH 7.0 significantly enhanced the pharmacological availability (PAB) of insulin compared to the aqueous solution of insulin at pH 7.0. The absorptionenhancing effect at a concentration of 0.1% w/v hyaluronate was greater than that at a concentration of 0.2% w/v hyaluronate. Furthermore, the greatest absorptionenhancing effect was obtained, regardless of the molecular weight of hyaluronate, when the concentration of hyaluronate was adjusted to 0.47 µM. Absorption-enhancing effects were consistent with the effect of a 0.1% w/v hyaluronate preparation at pH 4.0 and 7.0 on the permeation of FITC-dextran and insulin through excised rat trachea in vitro. Conclusion: Low-viscosity hyaluronate preparation was shown to be a useful vehicle for pulmonary delivery of peptide drugs. 相似文献
332.
Yamada Toya Kinjo Hiroshi Nakazono Kunihiko Oshiro Naoki Uezato Eiho 《Artificial Life and Robotics》2023,28(3):632-641
Artificial Life and Robotics - Marine robots play a crucial role in exploring and investigating underwater and seafloor environments, organisms, structures, and resources. In this study, we... 相似文献
333.
Koichi Kobayashi Kunihiko Hiraishi 《IEEJ Transactions on Electrical and Electronic Engineering》2014,9(1):56-61
A networked control system (NCS) is a control system in which plants, sensors, controllers, and actuators are connected through communication networks. In this paper, we consider NCSs modeled by stochastic switching systems, and propose a new method for modeling and optimal control. First, a recursive representation of the expected value of the state is proposed. Next, after an over‐approximation of this recursive representation is derived, the optimal control problem is reduced to a linear programming problem. Finally, the effectiveness of the proposed method is shown by a numerical example. The proposed method provides us an easy‐to‐use control method for NCSs. © 2013 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. 相似文献