Eyelid plays a vital role in protecting the eye from injury or infection.Inflammation related eyelid diseases,such as blepharitis,are the most common ocular disorders that affect human’s vision and quality of life.Du...Eyelid plays a vital role in protecting the eye from injury or infection.Inflammation related eyelid diseases,such as blepharitis,are the most common ocular disorders that affect human’s vision and quality of life.Due to the physiological barriers and anatomical structures of the eye,the bioavailability of topical administrated therapeutics is typically less than 5%.Herein,we developed a bio-responsive hydrogel drug delivery system using a generally recognized as safe compound,triglycerol monostearate(TG-18),for in-situ eyelid injection with sustained therapeutics release.In vitro,drug release and disassembly time of Rosiglitazone loaded hydrogel(Rosi-hydrogel)were estimated in the presence or absence of MMP-9,respectively.Moreover,the disassembly of TG-18 hydrogel was evaluated with 9-month-old and 12-month-old mice in vivo.Owing to the bio-responsive nature of Rosi-hydrogel,the on-demand Rosiglitazone release is achieved in response to local enzymes.These findings are proved by further evaluation in the age-related meibomian gland dysfunction mice model,and the bio-responsive hydrogel is used as an in-situ injection to treat eyelid diseases.Taken together,the in-situ eyelid injection with sustained drug release opens a window for the therapy of inflammation related eyelid diseases.展开更多
This paper studies scale-type stability for neural networks with unbounded time-varying delays and Lipschitz continuous activation functions. Several sufficient conditions for the global exponential stability and glob...This paper studies scale-type stability for neural networks with unbounded time-varying delays and Lipschitz continuous activation functions. Several sufficient conditions for the global exponential stability and global asymptotic stability of such neural networks on time scales are derived. The new results can extend the existing relevant stability results in the previous literatures to cover some general neural networks.展开更多
基金This study was supported by the National Natural Science Foundation of China(81570812,81770888)the Shanghai Municipal Education Commission:Gaofeng Clinical Medicine Grant Support(20161421)+1 种基金“Two-hundred”Talent(20191820)the Science and Technology Commission of Shanghai(20DZ2270800).
文摘Eyelid plays a vital role in protecting the eye from injury or infection.Inflammation related eyelid diseases,such as blepharitis,are the most common ocular disorders that affect human’s vision and quality of life.Due to the physiological barriers and anatomical structures of the eye,the bioavailability of topical administrated therapeutics is typically less than 5%.Herein,we developed a bio-responsive hydrogel drug delivery system using a generally recognized as safe compound,triglycerol monostearate(TG-18),for in-situ eyelid injection with sustained therapeutics release.In vitro,drug release and disassembly time of Rosiglitazone loaded hydrogel(Rosi-hydrogel)were estimated in the presence or absence of MMP-9,respectively.Moreover,the disassembly of TG-18 hydrogel was evaluated with 9-month-old and 12-month-old mice in vivo.Owing to the bio-responsive nature of Rosi-hydrogel,the on-demand Rosiglitazone release is achieved in response to local enzymes.These findings are proved by further evaluation in the age-related meibomian gland dysfunction mice model,and the bio-responsive hydrogel is used as an in-situ injection to treat eyelid diseases.Taken together,the in-situ eyelid injection with sustained drug release opens a window for the therapy of inflammation related eyelid diseases.
基金supported by National Natural Science Foundation of China under Grant 61573005 and 11361010the Foundation for Young Professors of Jimei Universitythe Foundation of Fujian Higher Education(JA11154,JA11144)
文摘This paper studies scale-type stability for neural networks with unbounded time-varying delays and Lipschitz continuous activation functions. Several sufficient conditions for the global exponential stability and global asymptotic stability of such neural networks on time scales are derived. The new results can extend the existing relevant stability results in the previous literatures to cover some general neural networks.
