International Journal of Endocrinology · 2015 · 15 citations · 32 references
Life SciencesMolecular BiologyNeuroscienceCell SignalingMolecular NeuroscienceSignal TransductionDiabetes MellitusGrowth Factor SignalingInsulin Signaling In MetabolismReceptor Signaling In NeuronsGene KnockoutInsulin SignalingInsulin Signaling In The BrainInsulin Signaling PathwayInsulin-like Growth Factor 1 Receptor DefectsInsulin-like Growth Factor-1Primary CellsTransgenic Mice
Defective cognitive function is common in patients with diabetes, suggesting that insulin normally exerts anabolic actions in neuron, namely, diabetic encephalopathy. However, because insulin can cross-activate the insulin-like growth factor type 1 receptor (IGF-1R), which also functions in most of tissues, such as muscle and bone, it has been difficult to establish the direct (IGF-1-independent) actions of insulin in the pathogenesis of diabetic encephalopathy. To overcome this problem, we examined insulin signaling and action in primary PC-12 cells engineered for conditional disruption of the IGF-1 receptor (ΔIGF-1R). The results showed that the lower glucose metabolism and high expression of IGF-1R occurred in the brain of the DE rat model. The results also showed the defect of IGF-1R could significantly improve the ability of glucose consumption and enhance sensitivity to insulin-induced IR and Akt phosphorylation in PC12 cells. And meanwhile, IGF-1R allele gene knockout (IGF-1R(neo)) mice treated with HFD/STZ had better cognitive abilities than those of wild mice. Those results indicate that insulin exerts direct anabolic actions in neuron-like cells by activation of its cognate receptor and prove that IGF-1R plays an important role in the pathogenesis of diabetic encephalopathy.
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Alberto Gallardo, Enrique Lerma, Daniel Escuín et al. · British Journal of Cancer · 2012 · 231 citations · Full text
Loss of Caveolin-1 Accelerates Neurodegeneration and Aging
Brian P. Head, Jason N. Peart, Mathivadhani Panneerselvam et al. · PLoS ONE · 2010 · 189 citations · Full text