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Keratohyalin granules (KHGs) supply the critical epidermal protein constituents such as filaggrin for maintaining skin barrier function during epidermal differentiation; however, their regulating mechanism remains largely unelucidated.To investigate the role of Ras-related protein Rab-25 (RAB25) expression in skin disease, we utilized skin specimens of patients with moderate-to-severe atopic dermatitis (AD) and healthy controls. To investigate the susceptibility of Rab25 knockout mice to AD, we established an oxazolone-induced AD model.We investigated the role of RAB25 in KHG maturation and AD. RAB25-deficient mice showed a disrupted stratum corneum along with skin barrier dysfunction, decreased KHG production, and abnormal KHG processing. Consistently, in the human keratinocyte cell line HaCaT, RAB25 co-expressed with filaggrin-containing KHG and RAB25 silencing impaired KHG formation, which was attributable to abnormal actin dynamics. Most importantly, RAB25 expression was severely downregulated in the skin lesions of patients with AD, which was strongly correlated with disease severity scores.RAB25 coordinates KHG homeostasis by regulating actin dynamics and is critical for epidermal differentiation and the pathophysiology of AD.

More Recently, researchers have explored to provide a queue management scheme with differentiated loss guarantees for the future Internet. Various types of real time and non-real time traffic with varying requirements are transmitted over the Internet. The sides of a packet drop rate, an each class to differential drop probability on achieving a low delay and high traffic intensity. Improved a queue management scheme to be enhanced to offer a drop probability is desired necessarily. This paper considers multiple random early detection with differential drop probability which is a slightly modified version of the MQDDP model, to get the performance of the best suited, we analyzes its main control parameters (maxth, minth, maxp) for achieving the proportional loss differentiation (PLD) model, and gives their setting guidance from the analytic approach. we propose Dynamic-multiple queue management scheme based on differential drop probability, called Dynamic-MQDDP, is proposed to overcome MQDDP's shortcoming as well as supports static maxp parameter setting values for relative and each class proportional loss differentiation. MQDDP is static according to the situation of the network traffic, Network environment is very dynamic situation. Therefore maxp parameter values needs to modify too to the constantly and dynamic. The verification of the guidance is shown with figuring out loss probability using a proposed algorithm under dynamic offered load and is also selection problem of optimal values of parameters for high traffic intensity and show that Dynamic-MQDDP has the better performance in terms of packet drop rate. We also demonstrated using an ns-2 network simulation.