Traditionally, binding proteins are known to regulate the activity of ligands by prolonging their half-life, and insulin-like growth factor (IGF)-binding proteins (IGFBPs) are no exception to this. The IGFBP family contains six high-affinity members with variable functions and mechanisms of actions. In addition to functioning as simple carrier proteins, IGFBPs in serum function to regulate the endocrine actions of IGFs by regulating the amount of IGF available to bind to signaling IGF-I receptors, whereas locally produced IGFBPs act as autocrine/paracrine regulators of IGF action. Furthermore, recent in vitro and in vivo findings that IGFBPs function independently of the IGFs as growth modulators are particularly exciting. Regarding the role of IGFBPs as ligand-independent growth modulators, our recent data that IGFBP-5 stimulates markers of bone formation in osteoblasts lacking functional IGFs provide evidence that IGFBP-5 itself is a growth factor that can act independently of IGFs to regulate bone formation. In terms of the mechanism by which certain IGFBPs mediate their effects in a ligand-independent manner, the binding of IGFBP to its putative receptor on the cell membrane may stimulate the signaling pathway independent of an IGF receptor, to mediate the effects of IGFBPs in certain target cell types. IGFBPs may also exert IGF-independent effects by transcriptional activation of genes by IGFBPs transported into the nucleus via their nuclear localization signal. In conclusion, IGFBPs are unusually pleotrophic molecules with functions ranging from the traditional role of prolonging the half-life of the IGFs to functioning as growth factors independent of the IGFs. In this regard, it was surprising to find that the human genome contains only about 35 000 genes. One mechanism to account for such complexity with a relatively small number of genes is strikingly illustrated by the multifunctional IGFBP class of proteins.
Journal of Endocrinology is committed to supporting researchers in demonstrating the impact of their articles published in the journal.
The two types of article metrics we measure are (i) more traditional full-text views and pdf downloads, and (ii) Altmetric data, which shows the wider impact of articles in a range of non-traditional sources, such as social media.
More information is on the Reasons to publish page.
Sept 2018 onwards | Past Year | Past 30 Days | |
---|---|---|---|
Full Text Views | 1210 | 465 | 60 |
PDF Downloads | 635 | 243 | 25 |