The IGF-1 Signaling Pathway in Viral Infections.
Agata JózefiakMagdalena LarskaMałgorzata Pomorska-MólJakub J RuszkowskiPublished in: Viruses (2021)
Insulin-like growth factor-1 (IGF-1) and the IGF-1 receptor (IGF-1R) belong to the insulin-like growth factor family, and IGF-1 activates intracellular signaling pathways by binding specifically to IGF-1R. The interaction between IGF-1 and IGF-1R transmits a signal through a number of intracellular substrates, including the insulin receptor substrate (IRS) and the Src homology collagen (Shc) proteins, which activate two major intracellular signaling pathways: the phosphatidylinositol 3-kinase (PI3K)/AKT and mitogen-activated protein kinase (MAPK) pathways, specifically the extracellular signal-regulated kinase (ERK) pathways. The PI3K/AKT kinase pathway regulates a variety of cellular processes, including cell proliferation and apoptosis. IGF1/IGF-1R signaling also promotes cell differentiation and proliferation via the Ras/MAPK pathway. Moreover, upon IGF-1R activation of the IRS and Shc adaptor proteins, Shc stimulates Raf through the GTPase Ras to activate the MAPKs ERK1 and ERK2, phosphorylate and several other proteins, and to stimulate cell proliferation. The IGF-1 signaling pathway is required for certain viral effects in oncogenic progression and may be induced as an effect of viral infection. The mechanisms of IGF signaling in animal viral infections need to be clarified, mainly because they are involved in multifactorial signaling pathways. The aim of this review is to summarize the current data obtained from virological studies and to increase our understanding of the complex role of the IGF-1 signaling axis in animal virus infections.
Keyphrases
- pi k akt
- signaling pathway
- cell proliferation
- cell cycle arrest
- epithelial mesenchymal transition
- induced apoptosis
- sars cov
- binding protein
- oxidative stress
- tyrosine kinase
- type diabetes
- cell cycle
- adipose tissue
- electronic health record
- transcription factor
- high glucose
- insulin resistance
- artificial intelligence
- diabetic rats
- antiretroviral therapy
- drug induced