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Consequently, the interaction of AGEs with receptors for AGEs (RAGE) directly activates multiple intracellular signaling, gene expression, and the secretory pro-inflammatory molecules accompanied by increasing free radicals that contribute towards pathologic complications related to diabetes such as atherosclerosis, nephropathy, peripheral neuropathy, retinopathy and cataract [ 3].
Interaction of AGEs with the Receptor for AGEs (RAGE) promotes activation of the transcription factor nuclear factor kappa-B (NF-κB), with subsequent upregulation of chemokines, such as MCP-1 and profibrogenic mediators such as TGFβ in addition to pro-inflammatory cytokines which are known to be involved in thrombogenesis, vascular inflammation and pathological angiogenesis.
Thus, the interaction of AGEs with RAGE-bearing endothelial cells can mediate initiating events in atherogenesis.
41 AGE-induced renal injury is due to renal cellular-signaling alterations, mainly through the interaction of AGEs with their receptor, RAGE.
Cell activation, proinflammatory cytokine release and oxidative stress, induced by the interaction of AGEs with their receptors, may lead to endothelial injury and dysfunction [ 25, 26].
Interaction of AGEs with receptors for advanced glycation end products (RAGE) induces the synthesis and release of cytokines which mediate enhanced production of collagen, laminin, and fibronectin leading to fibrosis [ 5].
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They believe that the interaction of AGE with RAGE initiates a series of events leading to a change in cellular function.
The interaction of age and comorbidity with breast cancer severity and their impact on receipt of definitive therapy have not been well-studied.
The logistic regression analysis is made with the independent variables of discriminant function (DF) values and factor scores and with the dependent variables of Ldn, age (six levels), sex, occupation (four categories) and the interaction of age and sex.
Multiple logistic regression analysis was done taking 12 scale scores converted into the dependent variable andLdn, age (six levels), sex, occupation (four categories) and the interaction of age and sex as the independent variables.
We are interested in the interaction of age, sex, and caries in medieval London, during a period of repeated famines, which might have exacerbated underlying biological causes of caries sex differentials.
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