Abstract

BackgroundThe signaling pathways imposing hormonal control over adipocyte differentiation are poorly understood. While insulin and Akt signaling have been found previously to be essential for adipogenesis, the relative importance of their many downstream branches have not been defined. One direct substrate that is inhibited by Akt-mediated phosphorylation is the tuberous sclerosis complex 2 (TSC2) protein, which associates with TSC1 and acts as a critical negative regulator of the mammalian target of rapamycin (mTOR) complex 1 (mTORC1). Loss of function of the TSC1-TSC2 complex results in constitutive mTORC1 signaling and, through mTORC1-dependent feedback mechanisms and loss of mTORC2 activity, leads to a concomitant block of Akt signaling to its other downstream targets.Methodology/Principal FindingsWe find that, despite severe insulin resistance and the absence of Akt signaling, TSC2-deficient mouse embryo fibroblasts and 3T3-L1 pre-adipocytes display enhanced adipocyte differentiation that is dependent on the elevated mTORC1 activity in these cells. Activation of mTORC1 causes a robust increase in the mRNA and protein expression of peroxisome proliferator-activated receptor gamma (PPARγ), which is the master transcriptional regulator of adipocyte differentiation. In examining the requirements for different Akt-mediated phosphorylation sites on TSC2, we find that only TSC2 mutants lacking all five previously identified Akt sites fully block insulin-stimulated mTORC1 signaling in reconstituted Tsc2 null cells, and this mutant also inhibits adipogenesis. Finally, renal angiomyolipomas from patients with tuberous sclerosis complex contain both adipose and smooth muscle-like components with activated mTORC1 signaling and elevated PPARγ expression.Conclusions/SignificanceThis study demonstrates that activation of mTORC1 signaling is a critical step in adipocyte differentiation and identifies TSC2 as a primary target of Akt driving this process. Therefore, the TSC1-TSC2 complex regulates the differentiation of mesenchymal cell lineages, at least in part, through its control of mTORC1 activity and PPARγ expression.

Highlights

  • The ser/thr kinase Akt plays an essential role in adipocyte differentiation

  • To determine whether the increase in lipid accumulation in the Tsc2-deficient cells reflects an increase in adipogenesis, at day 7 of differentiation we measured the expression of adipocyte markers, including the adipogenic transcription factors C/EBPa and peroxisome proliferator-activated receptor c (PPARc) and the adipocytespecfic cytokines leptin and adiponectin

  • As Akt and mTORC2 activity are already inhibited in cells lacking the TSC1-tuberous sclerosis complex 2 (TSC2) complex [55], these findings demonstrate that the effects of rapamycin on adipocyte differentiation are specific to mTOR complex 1 (mTORC1)

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Summary

Introduction

The ser/thr kinase Akt (or protein kinase B/PKB) plays an essential role in adipocyte differentiation. While it is clear from these studies that Akt is both necessary and sufficient to drive adipogenesis, its downstream targets involved in regulating this differentiation program are not well understood. The differentiation defect in MEFs and 3T3-L1 preadipocytes lacking Akt stems from an inability to induce peroxisome proliferator-activated receptor c (PPARc) expression at the initiation of the adipogenesis program [1,2,4]. Supporting an essential role for PPARc induction downstream of Akt, forced expression of PPARc in Akt-deficient MEFs was found to rescue their severe adipogenesis defect [1]. One direct substrate that is inhibited by Akt-mediated phosphorylation is the tuberous sclerosis complex 2 (TSC2) protein, which associates with TSC1 and acts as a critical negative regulator of the mammalian target of rapamycin (mTOR) complex 1 (mTORC1). Loss of function of the TSC1-TSC2 complex results in constitutive mTORC1 signaling and, through mTORC1-dependent feedback mechanisms and loss of mTORC2 activity, leads to a concomitant block of Akt signaling to its other downstream targets

Methods
Results
Conclusion

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