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Nutrients 2013, 5(6), 2231-2257; doi:10.3390/nu5062231

The Role of Mechanistic Target of Rapamycin (mTOR) Complexes Signaling in the Immune Responses
Ghada A. Soliman
Department of Health Promotion, Social and Behavioral Health Sciences, College of Public Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE 68198, USA; Tel.: +1-402-559-5157; Fax: +1-402-559-3773
Received: 15 April 2013; in revised form: 5 June 2013 / Accepted: 5 June 2013 / Published: 19 June 2013


: The mechanistic Target of Rapamycin (mTOR) is an evolutionarily conserved serine/threonine kinase which is a member of the PI3K related kinase (PIKK) family. mTOR emerged as a central node in cellular metabolism, cell growth, and differentiation, as well as cancer metabolism. mTOR senses the nutrients, energy, insulin, growth factors, and environmental cues and transmits signals to downstream targets to effectuate the cellular and metabolic response. Recently, mTOR was also implicated in the regulation of both the innate and adaptive immune responses. This paper will summarize the current knowledge of mTOR, as related to the immune microenvironment and immune responses.
mTOR; innate immunity; adaptive immunity; regulatory T cells; T helper; B cells; rapamycin; immunosuppression; mTORC1; mTORC2

1. Introduction

The evolutionarily conserved mechanistic Target of Rapamycin (mTOR, formerly known as mammalian TOR) protein kinase plays an integral role in the coordination of metabolism, protein synthesis, cell growth, and proliferation [1,2,3,4,5]. mTOR serine/threonine kinase also functions as a molecular sensor of metabolism and cellular homeostasis and integrates environmental signals by altering the cellular metabolic processes [5,6]. Studies in yeast and Drosophila provided significant insight into the Target of Rapamycin (TOR) homolog physiology [7,8,9,10]. TOR was originally identified in S. cerevisiae as a mutant that confers rapamycin resistance [11]. Subsequently, TOR signal transduction pathways were elucidated in several organisms and thereafter the mammalian homologs were identified [5,12,13,14].

2. mTOR Signaling Pathway

Recent studies have implicated mTOR as a central regulator of metabolism, growth, cellular proliferation, and cell cycle progression [2,15,16]. Further, compelling evidence revealed that the dysregulation of mTOR is linked to the development of chronic diseases including insulin resistance, diabetes, cardiovascular disease, and obesity [17]; as well as progression of various types of cancer [18,19]. More recent work indicates that mTOR Complex 1 (mTORC1) plays a significant role in protein synthesis [2], lipid biosynthesis [15], and inhibition of triacylglycerol lipolysis [20,21]. Thus it may have a significant impact on maintaining metabolic homeostasis in the whole body [3].

2.1. Upstream of mTOR

mTOR Multiple Signaling Components

mTOR governs and integrates signals from multiple signaling pathways including insulin signaling, growth factors, energy, stress, mitogens, and amino acids, particularly the branched chain amino acid (BCAA) leucine (Figure 1). However, the mechanisms by which amino acids activate mTOR pathway are not fully understood. Amino acids activate the Rag GTPases (Rag guanosine triphosphatases), which interact with small complex proteins collectively known as Ragulators which facilitate docking of Rag to the lysosomal surface. This association in turn promotes the localization of mTOR and Rheb (Ras homolog enriched in the brain) to the lysosomes in response to amino acids [22,23]. Recently, it has been shown that PI3K-Akt-mTORC1 axis also receives signals from the immune microenvironment such as the co-stimulatory molecules CD28 (Cluster of Differentiation 28), as well as interleukins including IL-1, IL-2, IL-4, IL-12, and Interferon gamma (IFN-γ) [24]. Immunologically germane cytokines including CD28, and IL-2, IL-4, as well as growth factor receptors have been shown to activate mTOR via PI3 kinase upregulation [25,26]. Additionally, upon activation of mTOR, IL-12 and IFNγ prolong this activation state in memory CD8+ cells [27,28]. In a similar manner, IL-1 has been shown to promote the development of T helper 17 (Th17) via activation of mTORC1 complex [29,30]. Powell and colleagues [24] proposed a model were mTOR integrates signals from metabolic, environmental, and growth factors cues, as well as cytokines and co-stimulatory signals to dictate the outcome of antigen recognition by T Cells following T Cell Receptor engagement. Indeed, validation of this model is currently under investigation. Substantial breakthrough in mTOR research led to the identification of the Tuberous Sclerosis Complex (TSC1 and TSC2) as upstream negative regulators of mTOR [31,32,33,34,35,36] TSC1/TSC2 complex is negatively regulated by the serine/threonine kinase PKB/AKT downstream of the insulin-signaling pathway (Figure 1) and has GTPase-activating domain (GAP) in the C-terminus. Recent studies [37,38] showed that Rheb, a Ras family small GTPase, is a direct target of TSC2’s intrinsic GTPAse activity (Figure 1). Furthermore, an attractive model revealed that TSC-2 is a direct substrate of AMPK (AMP activated protein kinase), which serves as an intracellular sensor of the AMP/ATP ratio both in vivo and in vitro [36]. As such, when the energy level is low, AMPK phosphorylates and activates TSC2, which inactivates Rheb.GTP and converts it to Rheb.GDP, and in turn this leads to mTOR inhibition. The discovery of multiple upstream regulators of mTOR, together with the documented negative feedback loop from S6 Kinase 1 (S6K1) on Insulin Receptor Substrate 1 (IRS) [39], increased our understanding of mTOR signaling pathways and placed mTOR downstream of the linear insulin signaling cascade (Figure 1).

Furthermore, mTOR forms at least two complexes with the newly identified exclusive as well as common binding partners as shown below (Figure 2). These complexes include rapamycin-sensitive complex (mTORC1) encompassing mTOR, raptor, mLST8, PRAS40, and deptor and rapamycin-insensitive complex (mTORC2), which contains mTOR, rictor, mLST8, mSIN1, protor, and deptor (but not raptor).

Figure 1. Network of the mechanistic Target of Rapamycin (mTOR) signaling pathway. Figure 1 shows diagram summarizing the inputs and outputs of mTOR signaling network. mTORC1 integrates multiple inputs from signaling pathways including insulin, growth factors, energy, stress, mitogens, and amino acids. Additionally PI3K-mTOR also receives signals from the immune microenvironment such as T Cell Receptors (TCR), and co-stimulatory molecules CD28 (Cluster of Differentiation 28), as well as interleukins. mTORC2 complex activates Akt by phosphorylating it on serine 473, and indirectly activates mTORC1, which in turns phosphorylates its effector S6K on threonine 389.
Figure 1. Network of the mechanistic Target of Rapamycin (mTOR) signaling pathway. Figure 1 shows diagram summarizing the inputs and outputs of mTOR signaling network. mTORC1 integrates multiple inputs from signaling pathways including insulin, growth factors, energy, stress, mitogens, and amino acids. Additionally PI3K-mTOR also receives signals from the immune microenvironment such as T Cell Receptors (TCR), and co-stimulatory molecules CD28 (Cluster of Differentiation 28), as well as interleukins. mTORC2 complex activates Akt by phosphorylating it on serine 473, and indirectly activates mTORC1, which in turns phosphorylates its effector S6K on threonine 389.
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2.2. mTOR Complexes

Genetic studies in mice yielded significant understanding of the components of mTOR complexes as well as its binding partners, upstream effectors, and downstream molecular targets [2]. mTOR is the catalytic core of two distinct multi-protein complexes, mTOR Complex 1 (mTORC1) and mTOR Complex 2 (mTORC2) as shown in Figure 2. mTORC1 comprises mTOR kinase, mTOR-raptor binding partner (raptor), and mLST8, DEPTOR, and PRAS 40; and integrates signals from nutrients, insulin, growth factors, and energy levels, thereby activates downstream targets to control metabolism and cell growth [40,41].While mTORC1 is a nutrient-sensitive pathway, mTORC2 receives inputs only from growth factors, however mTORC2 upstream regulation is largely unknown [42].

Figure 2. mTORC1 and mTORC2 integrate signals from diverse extracellular inputs. mTOR complexes integrate signals from diverse environmental cues. mTOR forms at least two complexes with the newly identified exclusive as well as common binding partners. These complexes include rapamycin-sensitive complex 1 (mTORC1) encompassing mTOR, raptor, mLST8, PRAS40, and deptor; and rapamycin-insensitive complex 2 (mTORC2), which contains mTOR, rictor, mLST8, mSIN1, protor, and deptor.
Figure 2. mTORC1 and mTORC2 integrate signals from diverse extracellular inputs. mTOR complexes integrate signals from diverse environmental cues. mTOR forms at least two complexes with the newly identified exclusive as well as common binding partners. These complexes include rapamycin-sensitive complex 1 (mTORC1) encompassing mTOR, raptor, mLST8, PRAS40, and deptor; and rapamycin-insensitive complex 2 (mTORC2), which contains mTOR, rictor, mLST8, mSIN1, protor, and deptor.
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Deletion of rictor, the rapamycin-insensitive mTORC2, which phosphorylates AKT-Ser473 [43] led to glucose intolerance due to discordant beta cell proliferation and cell size. Aberrant activation of mTORC1 has been implicated in a variety of pathological conditions including obesity, diabetes, and cancer [3,4,44]. Furthermore, the hallmark of cancer is elevated glucose consumption, increased glycolysis, and lactate productions commonly known as oxidative glycolysis or Warburg effect [45,46]. A similar oxidative glycolysis pathway is also utilized by the lymphocytes to generate energy in the form of ATP. Thus cancer metabolism and T-lymphocyte metabolism share many similarities in energy metabolism and utilization. Although lactate utilization is an inefficient way to generate energy, the oxidative glycolysis pathway allows for the accumulation of substrates and byproducts needed for the biosynthesis. Thus the immunological functions of T cells can be regulated by the specialized metabolic program [24]. Failure to upregulate the metabolic machinery upon immunologic rechallenges is currently thought to lead to the hypo-responsiveness status of T cells known as anergy [47,48]. This anergy status will ultimately lead to immunologic tolerance. Indeed, it has been postulated that rapamycin inhibits T cell proliferation and causes immunosuppression due to its ability to promote T Cell anergy [25,49,50,51].

2.3. Downstream of mTOR

It is currently known that mTORC1 phosphorylates two well characterized downstream targets, S6K1 and 4E-BP1 (eIF-4E binding protein), positive and negative regulators of protein synthesis, respectively (Figure 1). Phosphorylation of S6K1, in turn, phosphorylates and thereby activates the downstream 40S ribosomal protein S6 and enhances translation of mRNA (Figure 1). On the contrary, phosphorylation of 4E-BP1 induces its release from eIF4E, and as such, enhances eIF4E-mediated cap dependent translation [52,53,54]. mTOR-dependent signaling, along with both S6K1 and 4E-BP1 pathways, independently drive cell growth (cell mass and size) and proliferation [55,56]. Additionally, mTORC2 activation inhibits two proteins namely, Forkhead Factor 1 (FOXO1) and Kruppell-like factor 2 (KLP), two transcription factors required for maintaining the T cell quiescent state [57,58,59]. Thus, it appears that both mTORC1 and mTORC2 pathways play a role during the immune response.

2.4. mTOR Pathways and Metabolism

2.4.1. mTOR Regulation of Anabolic and Catabolic Pathways

mTOR, the downstream target of insulin action (Figure 1), influences the regulation of gene transcription [60,61] as well as protein translation [52,62,63,64], and cell signaling [65,66]. As stated earlier, in yeast, TOR has been shown to serve as a master switch between protein synthesis and anabolism on one hand, and autophagy, which is indicative of a catabolic state on the other hand [65]. The mammalian homolog, mTOR has emerged as a key integrator of both anabolic and catabolic processes [2,15,16]. The anabolic role of mTOR is evident in the regulation of lipogenesis as mTORC1 activates the transcription factor SREBP-1, a major transcription factor that controls fatty acid, cholesterol, and triglyceride synthesis [67,68,69], as well as activation of Stearoyl CoA desaturase (SCD1), a key enzyme in fatty acid metabolism required for double bond formation [70]. The inhibition of triacylglycerol (TAG) lipolysis suggests the importance of mTOR in blocking catabolic pathways [39,71]. mTORC1 activation suppresses the nutrient-recycling process known as autophagy. In such process, cellular organelles and proteins are degraded by lysosomes and the components are recycled and utilized for energy production [72,73].

2.4.2. mTOR and Carbohydrate Metabolism

Glucose homeostasis is orchestrated by interactions of the two pancreatic hormones namely, insulin and glucagon. Insulin promotes glycogen storage and glucose utilization by regulating both gene transcription [65,66] as well as cell signaling [74]. The dual impact of the insulin downstream target, mTOR on the regulation of gene transcription [60,61], as well as protein translation and cell signaling [52,62,63,64], have also been documented. mTORC1 nutrient sensing pathway responds to glucose and insulin that controls diverse cellular processes including protein synthesis, cell metabolism, and cell growth. However, the biochemical link between mTORC1 signal transduction and metabolic homeostasis remains unclear [44]. mTORC1 enhances the translation of Hypoxia-inducible factor 1α (HIF1α), a transcription factor, that in turn regulates the transcription of genes encoding glycolytic enzymes and glucose transporters [75,76,77]. As a result, mTORC1 promotes glucose uptake and activation of glycolysis to generate energy. Recently, it has been shown that mTOR interacts with glycogen synthase kinase (GSK-3) to increase DNA synthesis [78] and regulates glucose-6-phosphate dehydrogenase (G6PDH) activity [16,79]. Additionally, there is cross talk between mTOR and G6PDH [16,79], and AMPK [80,81]. G6PDH catalyzes the irreversible oxidation of G6P to 6-phosphogluconolactone, the rate-limiting reaction in the pentose phosphate pathway (PPP), which generates ribose for RNA, and DNA synthesis as well as NADPH for fatty acid synthesis. mTORC1 is also known to increase cell growth and proliferation by activation of cell cycle progression [82]. Thus, mTORC1 may influence cell proliferation through dual mechanisms: (1) cell cycle progression, and (2) metabolic channeling of glucose through the pentose phosphate pathway. Thus, mTOR serves as a central integrator of growth and metabolism [5].

2.4.3. mTOR and Lipid Metabolism

As mentioned earlier, emerging data identify mTORC1 as an important novel controller of both anabolic and catabolic lipid metabolism by regulating lipogenesis and lipolysis, respectively [20,69,83,84,85]. mTORC1 signaling induces adipogenic differentiation and maintains the adipogenic program by promoting the expression and the activation state of transcription factor PPARγ (peroxisome proliferator-activated receptor-γ), a nuclear hormone receptor that induces the expression of genes which promote fatty acid uptake, synthesis, esterification, and storage [50]. Moreover, mTORC1 signaling promotes lipid biosynthesis by cleaving the transcription factor SREBP-1 (sterol regulatory element binding protein-1) into a mature form that translocates to the nucleus to induce the expression of lipogenic genes that promote fatty acid and TAG synthesis [15,84]. Additionally, two independent laboratories showed that inhibition of mTORC1 signaling via rapamycin or knockdown of the critical mTORC1 partner raptor decreases triacylglycerol (TAG) storage by increasing lipolysis in 3T3-L1 adipocytes [21], and increase plasma FFA in guinea pigs [20]. It is well known that increased levels of circulating FFA is a risk factor in the development of insulin resistance, the landmark of type 2 diabetes. Furthermore, cumulative data suggest that rapamycin administration to patients may exacerbate insulin resistance by promoting TAG lipolysis [86,87].

2.4.4. mTOR and Protein Metabolism

Recent studies indicate that mTOR mediates nutritional signaling checkpoints to diverse nutritional clues [88,89,90]. Furthermore, rapamycin treatment leads to a starvation-like response; suggesting the biological role of mTOR in integrating nutritional signals [91]. During starvation, the cell will recycle its organelles by autophagy to provide substrates for energy production. This will provide a source of amino acids that will ultimately activate mTOR to generate energy. In yeast, TOR serves as an integrative regulator of genes required for de novo biosynthesis of glutamine and glutamate [92]. Moreover, branched chain amino acids, particularly leucine, have been shown to stimulate mTOR signaling and enhance phosphorylation of 4E-BP and ribosomal protein 6 kinase [93,94]. During nutrient deprivation, stress, or mTOR inhibition by rapamycin, autophagy is induced. Likewise, the lymphocytes are catabolic during the resting state, and thus they employ autophagy to provide molecules required for energy production [95]. mTOR central role in regulating autophagy and metabolic programs provides a pivotal link between cellular metabolism and the innate as well as the adaptive immune response.

3. mTOR and the Innate Immunity

The innate immune system is an immediate protective response with broad activity upon entry of microorganisms. The innate immunity relies on mechanisms that are established prior to infection and are employed to rapidly attack the offending microbes. Components of the innate system facilitate phagocytosis and lysis of bacteria by virtue of epithelial barriers; mucosal membranes; phagocytes (monocytes, macrophages, and neutrophils); complements, natural killer cells (NK); cytokines produced by the phagocytes; and dendritic cells [96]. These bone-marrow derived dendritic cells (DC) with multiple long membranous projections share common progenitors with macrophages, and thus share some overlapping functions such as phagocytosis [96]. Dendritic cells function as Antigen Presenting Cells (APC) to activate naïve T cells. Once activated, the naïve T cells initiate the adaptive immune response. Powell and colleagues propose that mTOR senses the immune microenvironment and directs the outcome of antigen recognition, in a manner similar to mTOR-mediated nutrient-sensing, and in response to energy and environmental cues [24]. The group suggests that mTOR derives the differentiation and function of APC. Indeed, mTOR has been shown to sense signals from the dendritic cells, which function as antigen presenting cells to the naïve T lymphocytes in order to; direct T-cell activation, differentiation, and clonal expansion [97,98]. By presenting antigens to T-cells, Dendritic Cells (DCs) serve as conduit and link between innate and adaptive immunity. As such, DCs migrate to the tissues, sample their environment and act as sentinels for signs of infection. The DCs are equipped with Toll-like Receptors (TLR), and Pattern Recognition Receptors (PRR). The PRR identifies the Pathogen Associated Molecular Pattern (PAMPs) and presents the antigens to the T cells of the adaptive immune response. Dendritic cells secret pro-inflammatory cytokines and serve as Antigen Presenting Cells (APC) to present foreign antigens to activate the CD4+ T cells.

The effect of mTOR inhibition by rapamycin treatment varies depending on the type of DC cells activated [99], and also whether rapamycin was used on short-term or long-term bases [100]. These factors play an important role on the diverse effect of mTOR inhibition during DC cells activation and differentiation [99,101,102]. As such, short-term treatment with rapamycin has been shown to increase IL-12, IL-1β cytokine production and NF-κB in TLR-2 activated monocyte-derived DC and in myeloid-derived DCs [99]. However, long-term treatment with rapamycin decreases the innate immunity in monocyte-derived DC cells [103,104,105,106]. Rapamycin treatment also abolished the ability of the Toll-Like Receptors (TLR) TLR 7 and TLR 9 to induce IFN α and IFN β required for the antiviral immune response. Furthermore, rapamycin also decreases the development of dendritic cells including both the conventional and the plasmacyoidal DC downstream of cytokine Flt3 ligand (Flt3L) in vitro [104,107]. Rapamycin also reduces the dendritic cell co-stimulatory molecules upregulation [104]. In addition, rapamycin treatment was associated with impaired dendritic cells functions such as reduced allogeneic T cell responses [108], while it increased the regulatory T antigen specific Foxp3+ [108]. It is worth noting that renal transplant patients treated with rapamycin exhibited an increase in the immunostimulatory potential of myeloid-derived DC compared to patients treated with cyclosporin or FK506 [99].

Importantly, rapamycin has been shown to suppress the mature dendritic cell function and decrease the production of cytokine IFNγ produced by dendritic cells, the cytokine that represents the first defense against viral infection [99]. Further, knockout of raptor, an integral component of mTORC1 component reveals a phenotype of expanded splenic CD8+, and intestinal CD11+, indicating that mTORC1 plays a significant anti-inflammatory role in intestinal infection [109], and maintains intestinal homeostasis by promoting the anti-inflammatory cytokine, IL-10 [109].

Furthermore, mTOR also plays an important role in regulation of other components of the innate immunity [110] including Natural Killer (NK) cells in kidney transplant patients [111], neutrophils, and macrophages activities [48,112,113,114,115,116] as shown in Figure 3. In humans, rapamycin treated renal transplant patients show a prostimulatory pattern of myeloid dendritic cells [99]. mTOR inhibition also is shown to enhance proinflammatory cytokines, including IL-12 and IL-1β [102]. Although rapamycin is clinically administered as immunosuppressant, these observations suggest the presence of distinct inflammatory side effects of rapamycin [99,102]. However, the significance and clinical implications of these observations remain to be elucidated.

Figure 3. Reported sites of actions of mTOR on the immune response. Figure 3 summarizes an overview of the reported sites action of mTOR interactions with the immune system. mTOR has been shown to affect multiple components of the immune response as shown by asterisk (*) on the diagram. This encompasses both the innate and adaptive immune system. While the innate immune response is immediate and board in scope, the adaptive immune response is delayed and highly specific in function.
Figure 3. Reported sites of actions of mTOR on the immune response. Figure 3 summarizes an overview of the reported sites action of mTOR interactions with the immune system. mTOR has been shown to affect multiple components of the immune response as shown by asterisk (*) on the diagram. This encompasses both the innate and adaptive immune system. While the innate immune response is immediate and board in scope, the adaptive immune response is delayed and highly specific in function.
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4. mTOR and Adaptive Immunity

Unlike the innate immune response, the adaptive immune response is delayed but is highly specific to the nature of infection. The adaptive response encompasses, the humoral response mediated by B cells and the cell-mediated response triggered by T lymphocytes. This immune-specific response improves every time the organism is encountered due to the developing an immune memory for that particular organism.

4.1. mTOR and Humoral Immunity (B Cells)

B lymphocytes arise from the bone marrow to produce antibodies (Ab) and, thus, are integral components of the humoral immunity. The humoral response component of the adaptive immunity recognizes the antigens while they are in the blood stream and mucosal surfaces, and before the organism invades the cells and replicates intracellularly. In vitro mitogen activated cell culture studies have shown that rapamycin reduces B lymphocyte proliferation and differentiation to plasma cells [117,118,119,120,121].

In a hypomorphic mouse model due to partial disruption of mTOR transcript, Zhang et al. reported that these mice exhibited reduced B-cell development, decreased cell proliferation in response to B cell mitogens, and reduced both T-cell dependent and T cell-independent antibody formation [122]. On the contrary, deletion of TSC1/TCS2 complex, a negative regulator of mTOR led to decrease in the Marginal Zone (MZ) of B cells development and significant reduction in B maturation. This effect was partially reversed by rapamycin [123]. The apparent contradictory findings [122] may suggest that mTOR effects on B cell are dictated in part by the relative contribution and ratio between mTORC1 and mTORC2. In line of this argument, Llorian and colleagues [124], reported that mTORC2 plays a critical role in B cell development via activation of AKT phosphorylation at serine 473, and inhibition of FOXO1 signaling.

During prolonged stimulation, B Cell Receptor (BCR) has been shown to increase mTOR activation. However, with minimal antigen exposure, there is limited magnitude of mTOR activation [121,125]. These observations suggest that mTOR plays a critical role in integrating the inputs that affect B cell functions and is regulated by the level of antigen titration. In addition, studies revealed that rapamycin treatment inhibits LPS-induced B cell proliferation and differentiation [121,126]. Along these lines, genetic studies in mouse models showed that mTOR is necessary and required for B cell differentiation to plasma cells [122]. Goldfinger et al. reported that within plasma cells which secret abundant level of immunoglobulins, the protein synthesis was regulated by coordination and crosstalk between mTOR and ER stress [127]. Taken together, these observations indicate the mTOR plays a significant role in B cell maturation and differentiation.

4.2. mTOR and Cell-Mediated Immunity

While it was originally thought that the T cells were activated upon antigen recognition by T-cell receptors (TCR), as well as co-stimulation and cytokine secretion; it is now recognized that environmental cues play an integral role in T cell activation outcome [128]. These factors include glucose, amino acids, AMP/ATP, and stress signal via activation of the mTOR pathway (Figure 1), which in turn determines the fate of activated T cells. This new concept links, once again, the metabolic nutrient cues to the development of the immune responses.

4.2.1. mTOR and Antigen Presenting Cells

As mentioned earlier, dendritic cells transduce signals received from antigens, co-stimulatory molecules, and pro-inflammatory molecules, which inform the naïve T cells to become activated and undergo clonal expansion and differentiation to become effector T cells. The magnitude of T cell activation versus tolerance is dependent on signaling from mTOR as well as NF-κB pathways [129]. Dendritic T cells are equipped with PRR and TLR and serve as sentinels to monitor microbial infection and present the antigen to the T-cell for further processing. In doing so, the dendritic cells call upon membrane complex termed the Major Histocompatibility (MHC) molecule. The MHC serves as the platform to carry the antigen to naïve T-cells. It is worth noting that a role of mTOR in the uptake and processing antigens by the bone-marrow-derived dendritic cells has been reported by Hachstein and colleagues [104,105,130]. Furthermore, the process of dendritic cell maturation has also been documented to be mTORC1 dependent. In this regard, targeted-deletion of mTOR negative regulator, PTEN inhibited the FGFR1 (Fibroblast Growth Factor Receptor, also known as FLT2) ligand-induced DC maturation [107]. As a result, hyperactivation of mTOR signaling led to excessive expansion of DC subset composition in vivo [107], and rapamycin inhibited such effect.

Adding to the complexity of mTOR signaling, is the co-stimulatory input received from CD28 which activates PI3K/AKT. The co-stimulatory CD28 input in turn, upregulates the TCR-mediated mTOR activation in order to facilitate T cell clonal expansion [25]. The CD28 is a homodimer chain present on all CD4+ T cells and serves as T cell receptor for co-stimulatory molecules. The CD4 is a co-receptor for MHC class II expressed by T cells and is required-together with MHC class II-for T cell interactions with TCR. Several investigators documented that mTOR activation enables IL-2 independent T cell proliferation [25]. However, in the antigen-stimulated CD8+ T cells, IL-12 induced mTOR activation appears to be indirect via activation of STAT4 signaling [27]. mTOR has been reported to serve as a controller to balance between naïve CD8+ cells differentiation to effector cells versus memory cell formation [28]. This balance dictates whether an immune response is achieved by the CD8+ effector cells or tolerance and hyporesponesiveness is generated by T cell anergy. Furthermore, increased mTORC1 activity via loss of TSC complex mediated-inhibition, has been shown to decrease interleukin 7 (IL-7)-dependent responses to naïve T cells, and to disrupt the immune homeostasis mediated by TSC 1/2 [131]. Along the same line, Zhang et al. reported that TSC 1/2 also mediates CD8+ naïve T Cell homeostasis and survival in mice via Akt-mTOR-FOXO pathway [132].

4.2.2. mTOR and T Cell Functions

mTOR emerged as a central node in the control of cellular metabolism. Recently, it has been reported that mTOR integrates cues from the immune microenvironment and drives T-Cell differentiation and function [48]. As mentioned earlier, mTOR has been shown to regulate cycle cell progression and cell growth and proliferation [133,134]. During the adaptive immune response, mTOR signaling determines T cell fate decisions whether towards T cell differentiation or generation of T helper cells. The metabolic program of T cells is very energetically demanding [135], and exhibits preference to aerobic glycolysis, thus mimicking cancer cell metabolism (Warburg Effect). This reprograming of resting T Cells requires receptor mediated signal transduction [135]. Recently, Rosborough et al., reported that in the dendritic cells, rapamycin-sensitive mTORC1 promotes effector T cell expansion, while rapamycin-insensitive mTORC1 restrains the regulatory T (Treg) induction [114].

4.2.3. mTOR and CD4+ CD25+ FoxP3 Regulatory T Cells (Treg)

The thymus-derived, naturally-occurring CD4+, CD25+ Forkhead Box P3+ (FoxP3+) Regulatory T cells (Treg) suppresses innate and other adaptive immune responses. Tregs are recently known to express FoxP3 (forkhead box P3), an essential Transcription Factor for immune homeostasis and for prevention of autoimmunity [136,137]. Several studies elucidated that Treg has a greater mTOR activity than the conventional T cells, and thus mTOR may play a significant role in regulatory T cell functions. Rapamycin treatment for a prolonged period has been shown to stimulate the generation to regulatory T cells [138,139,140,141,142,143]. Recent reports indicate that simultaneous inhibition of both mTORC1 and mTORC2 signaling pathways are required for activation of FoxP3+T regulatory cells under activating conditions [144]. Intriguingly, it has recently been shown that Hypoxia Inducible Factor 1 (HIF1) enhanced FoxP3+ Treg generation via a mechanism that involved mTOR signaling [145]. Rapamycin was also shown to promote and expand Foxp3+ T regulatory cells [138,141,146]. Intriguingly, Cobbold and colleagues have shown that Treg stimulates tolerance by depleting the BCAA, which are known activators of the mTORC1 signaling [147]. The depletion of essential amino acids, in turn, leads to inhibition of mTOR signaling, and activation the FoxP3 expression, which converts more naïve T cells to regulatory T cells [147,148]. On the other hand, mTORC2 is a negative regulator of transcription factor FOXO1 and FOXO3a, and these transcription factors promote FoxP3 transcription [149,150]. Thus, mTORC2 inhibition in turns promotes Fox3P3 expression and leads to T regulatory expansion. Taken together, it appears that both mTORC1 and mTORC2 complexes have been shown to serve as negative regulator of Treg lineage commitment [151].While on the other hand, mTOR activation antagonizes regulatory T cells and enhances the development of T helper cells [24,152].

4.2.4. mTOR and Differentiation of T Helper Cells (T Cell Activation and T Cell Differentiation)

Studies in mTOR-null T cells revealed that mTOR plays a fundamental role in integrating signals that facilitate T helper (Th) cell differentiation [144,151]. Similarly, when Rheb, a positive upstream regulator of mTORC1, was deleted in T cells, these cells failed to differentiate into Th1, and Th17, but retained their ability to differentiate to Th2 [144]. Furthermore, Rheb (-/-) T cells responded to cytokine IL-4 release by activating the STAT 6 signaling, confirming their ability to differentiate into Th2 cells [144]. Recent studies also revealed that deletion of Rictor, an integral component of mTORC2 inhibits differentiation of CD4+ T cells to both Th1 and Th2 [153,154]. Along the same line, mTORC2 has been shown to activate PKC theta to promote Th2 differentiation [26,153]. Similarly, Delgoffe and colleagues showed a decrease in Th2 activities in Rictor null cells as evidenced by reduction in cytokine IL4-induced activation of Stat 6 signaling [144]. Taken together, these observations [144,153] suggest a differential regulation of mTORC1 and mTORC2 on T cell differentiation into Th1, Th2, and Th17, as well as T helper functions.

4.2.5. mTOR and Regulation of CD8+ T Effector Cells and CD8+ Memory Cells

It is currently thought that mTOR plays an important role in reversing the quiescent state of CD8+ T cells by inhibition of Transcription Factors, ELF4, and KLF4 that function to induce quiescence in the naïve CD8+ T cells [155]. Paradoxically, recent studies have shown that mTOR inhibition by rapamycin leads to immunostimuation of the long-lived memory CD8+ T cells [26,156]. This effect is attributable, in part, to enhancing the cytokine production by macrophages and dendritic cells, and improving antigen presentation [156,157]. In addition, mTORC1 has been shown to regulate the transcriptional programs that determine the fate of CD8+ Cytolytic Cells (CTL) [158,159,160]. Intriguingly, generation of hyperactive mTORC1 in T cells by selective deletion of TSC2, an upstream mTOR inhibitor, has been shown to increase the effector CD8+ activity [24,128,152]. Indeed, activated CD8+ cells can switch between catabolism and anabolism. Thus, it is tempting to speculate that mTOR mediates such effect; however, this thesis remains to be validated. In addition, PI3K/mTORC1 pathway regulates the expression of Hypoxia inducible factor 1 (HIF1) transcriptional factor complex. This mTORC-1 mediated activation is currently thought to be required for glycolysis, glycolytic enzymes activity, and glucose homeostasis in immune-activated CD8+ Cytolytic T cells [160]. Indeed, it has been demonstrated that mTORC1 stabilizes HIF1 in Th17 cells [161,162,163]. It is also noted that during low oxygen conditions, HIF1 activates TSC1/TSC2 complex, which is a negative regulator of mTORC1 [164,165]. Thus, the oxygen status determines whether HIF1 will be activated e.g., during hypoxia conditions, or becomes targeted to ubiquitin degradation.

Upon antigen encounter, trafficking of naïve T cells through the lymphoid tissue is facilitated by chemokine receptor CCR7, and by CD62L cell surface receptors. Once the CD8+ T cell recognizes their cognate antigen, these cells activate mTOR pathway to switch to the anabolic state [159]. The switch between the CD8+ effector cells and CD8+ memory cells is associated with metabolic switch from anabolism to catabolism. Several investigators have implicated mTOR in the regulation of the effector-to-memory ratio and transition between both states [27,28,157,166,167,168,169,170,171,172,173]. As such, low dose rapamycin was shown to promote CD8+ memory T cell production [166,167,168]. Remarkably, the CD8+ rapamycin-stimulated-memory cells exhibited vigorous anti-tumor immunity when rechallenged [27]. Collectively, these studies support the notion that metabolic programs regulate memory cell development and have significant implications on anticancer therapy and vaccine development.

4.2.6. mTOR and T Cell Anergy, Tolerance and Hyporesponsiveness

Several investigators reported that rapamycin treatment induces anergy even in the presence of costimulators [25,49,50,51]. Indeed, Zhang et al. reported that mTOR inhibition by rapamycin induces T cell anergy, which is a state of hyporesponsiveness and tolerance in T cells in vitro [174]. In this model, specific CD4+ Th1 clone (E7) proliferation was inhibited by rapamycin. However, during the induction phase, treatment with rapamycin blocked the cell cycle and led to T cell anergy. Intriguingly, the state of anergy was reversed by treatment with the pro-inflammatory cytokine IL-2. Likewise, T cells matured in the presence of rapamcyin revealed a phenotype of anergic effector T cells and promoted the generation of regulatory T cells. This dual impact on bone-marrow derived dendritic cells drives the T cell tolerance state [175]. This observation indicates that rapamycin treatment can decrease allograft rejection by promoting T cell tolerance. Indeed, mouse models of solid organ transplantation revealed that rapamycin-derived allogeneic DC induces tolerance that led to reduction of organ rejection [175,176]. Additionally, monocyte-derived DC was also found to be mTOR-dependent [99], and that treatment of these cells with rapamycin led to apopotosis, and generation of tolerogenic dendritic cells. Taken together, these studies indicated that rapamycin can promote effector cell anergy and promote T cell tolerance by inhibiting mTORC1 signaling.

5. Pharmacological Inhibition of mTOR

Rapamycin, an mTOR inhibitor, is a clinically approved drug used as an immunosuppressive agent that reduces organ transplant rejection, as well as a cardiology drug that decreases intimal hyperplasia associated with coronary stent restenosis [177,178,179,180,181]. Rapamycin has several clinical applications as an immunosuppressive, antiproliferative, and antitumor agent. However, the wide range of clinical applications is also accompanied by adverse effects, including hyperlipidemia [182,183,184,185]. Rapamycin has been shown to inhibit T cell proliferation and cell cycle progression [55]. In addition, recent evidences in the past few years reveal that mTOR plays a significant role in both the innate and adaptive immune responses [113,186].

Rapamycin binds to immunophilin FKBP12 and forms a ternary complex by binding to the rapamycin binding domain (FRB) on mTOR thereby blocking mTOR functions. Unlike cyclosporine A, rapamycin does not inhibit calcineurin and thus does not inhibit T Cell Receptor-induced NF-AT activation. An advantage of mTOR inhibitors is that, unlike the immunosuppressant calcinuerin inhibitors, rapalogs are antitumorigenic and thus are beneficial in renal transplant as post-transplant malignancy is a serious complication [17,179]. However, several side effects of rapamycin treatment have been reported including hyperlipidemia and delayed wound healing [187,188]. Rapamycin acutely inhibits signaling by mTORC1; however, chronic high doses of rapamycin also inhibit mTORC2 in certain cells, an effect that may be attributable to obstructing mTORC2 assembly [2,189,190,191]. Rapamycin (also known as Sirolimus), and rapalogs (Everolimus, Deforolimus) are currently assessed for cancer treatment in clinical trials phase I [192], II [193], and III [194,195]. However, the results vary across the cancer spectrum, attributable, in part, to the discovery of rapamycin-resistant functions of mTOR, the unfolding intricacies of mTOR complexes, and negative [39] and positive feedbacks [196] on insulin signaling pathway, as well as cross talk with oncogenic and tumor suppressors pathways [3,4]. Intriguingly, Everolimus (RAD001), showed promising results in the treatment of pancreatic neuroendocrine tumors, and thus its use was granted by FDA in 2011 [195].

6. Conclusions

The impact of mTOR on cellular metabolism, the immune microenvironment, cell proliferation and differentiation, and cancer metabolism provides an attractive therapeutic target for metabolic diseases as well as cancer early detection and therapeutic interventions.


Due to the large number of articles cited, the investigator apologizes if some of the primary research contributions were not directly acknowledged. Some of the primary literature was summarized and referred to in the cited review articles.

Conflict of Interest

The author declares no conflict of interest.


  1. Soliman, G.A. The integral role of mTOR in lipid metabolism. Cell Cycle 2011, 10, 861–862. [Google Scholar] [CrossRef]
  2. Laplante, M.; Sabatini, D.M. mTOR signaling at a glance. J. Cell Sci. 2009, 122, 3589–3594. [Google Scholar] [CrossRef]
  3. Howell, J.J.; Manning, B.D. mTOR couples cellular nutrient sensing to organismal metabolic homeostasis. Trends Endocrinol. Metab. 2011, 22, 94–102. [Google Scholar] [CrossRef]
  4. Yecies, J.L.; Manning, B.D. mTOR links oncogenic signaling to tumor cell metabolism. J. Mol. Med. 2011, 89, 221–228. [Google Scholar] [CrossRef]
  5. Soliman, G.A. The mammalian target of rapamycin signaling network and gene regulation. Curr. Opin. Lipidol. 2005, 16, 317–323. [Google Scholar] [CrossRef]
  6. Foster, K.G.; Fingar, D.C. Mammalian target of rapamycin (mTOR): Conducting the cellular signaling symphony. J. Biol. Chem. 2010, 285, 14071–14077. [Google Scholar] [CrossRef]
  7. Stan, R.; McLaughlin, M.M.; Cafferkey, R.; Johnson, R.K.; Rosenberg, M.; Livi, G.P. Interaction between FKBP12-rapamycin and TOR involves a conserved serine residue. J. Biol. Chem. 1994, 269, 32027–32030. [Google Scholar]
  8. Cafferkey, R.; McLaughlin, M.M.; Young, P.R.; Johnson, R.K.; Livi, G.P. Yeast TOR (DRR) proteins: Amino-acid sequence alignment and identification of structural motifs. Gene 1994, 141, 133–136. [Google Scholar] [CrossRef]
  9. Stewart, M.J.; Berry, C.O.; Zilberman, F.; Thomas, G.; Kozma, S.C. The Drosophila p70s6k homolog exhibits conserved regulatory elements and rapamycin sensitivity. Proc. Natl. Acad. Sci. USA 1996, 93, 10791–10796. [Google Scholar] [CrossRef]
  10. Polak, P.; Hall, M.N. mTORC2 caught in a SINful Akt. Dev. Cell 2006, 11, 433–434. [Google Scholar] [CrossRef]
  11. Wullschleger, S.; Loewith, R.; Hall, M.N. TOR signaling in growth and metabolism. Cell 2006, 124, 471–484. [Google Scholar] [CrossRef]
  12. Corradetti, M.N.; Guan, K.L. Upstream of the mammalian target of rapamycin: Do all roads pass through mTOR? Oncogene 2006, 25, 6347–6360. [Google Scholar] [CrossRef]
  13. Staschke, K.A.; Dey, S.; Zaborske, J.M.; Palam, L.R.; McClintick, J.N.; Pan, T.; Edenberg, H.J.; Wek, R.C. Integration of general amino acid control and target of rapamycin (TOR) regulatory pathways in nitrogen assimilation in yeast. J. Biol. Chem. 2010, 285, 16893–16911. [Google Scholar] [CrossRef]
  14. Schmidt, A.; Beck, T.; Koller, A.; Kunz, J.; Hall, M.N. The TOR nutrient signalling pathway phosphorylates NPR1 and inhibits turnover of the tryptophan permease. EMBO J. 1998, 17, 6924–6931. [Google Scholar] [CrossRef]
  15. Laplante, M.; Sabatini, D.M. An emerging role of mTOR in lipid biosynthesis. Curr. Biol. 2009, 19, R1046–R1052. [Google Scholar] [CrossRef]
  16. Duvel, K.; Yecies, J.L.; Menon, S.; Raman, P.; Lipovsky, A.I.; Souza, A.L.; Triantafellow, E.; Ma, Q.; Gorski, R.; Cleaver, S.; et al. Activation of a metabolic gene regulatory network downstream of mTOR complex 1. Mol. Cell 2010, 39, 171–183. [Google Scholar] [CrossRef]
  17. McMahon, G.; Weir, M.R.; Li, X.C.; Mandelbrot, D.A. The evolving role of mTOR inhibition in transplantation tolerance. J. Am. Soc. Nephrol. 2011, 22, 408–415. [Google Scholar] [CrossRef]
  18. Reidy-Lagunes, D.; Thornton, R. Pancreatic neuroendocrine and carcinoid tumors: What’s new, what’s old, and what’s different? Cur. Oncol. Rep. 2012, 14, 249–256. [Google Scholar] [CrossRef]
  19. Arva, N.C.; Pappas, J.G.; Bhatla, T.; Raetz, E.A.; Macari, M.; Ginsburg, H.B.; Hajdu, C.H. Well-differentiated pancreatic neuroendocrine carcinoma in tuberous sclerosis––Case report and review of the literature. Am. J. Surg. Pathol. 2012, 36, 149–153. [Google Scholar] [CrossRef]
  20. Aggarwal, D.; Fernandez, M.L.; Soliman, G.A. Rapamycin, an mTOR inhibitor, disrupts triglyceride metabolism in guinea pigs. Metab. Clin. Exp. 2006, 55, 794–802. [Google Scholar] [CrossRef]
  21. Chakrabarti, P.; English, T.; Shi, J.; Smas, C.M.; Kandror, K.V. Mammalian target of rapamycin complex 1 suppresses lipolysis, stimulates lipogenesis, and promotes fat storage. Diabetes 2010, 59, 775–781. [Google Scholar] [CrossRef]
  22. Ogmundsdottir, M.H.; Heublein, S.; Kazi, S.; Reynolds, B.; Visvalingam, S.M.; Shaw, M.K.; Goberdhan, D.C. Proton-assisted amino acid transporter PAT1 complexes with Rag GTPases and activates TORC1 on late endosomal and lysosomal membranes. PLoS One 2012, 7, e36616. [Google Scholar] [CrossRef]
  23. Cang, C.; Zhou, Y.; Navarro, B.; Seo, Y.J.; Aranda, K.; Shi, L.; Battaglia-Hsu, S.; Nissim, I.; Clapham, D.E.; Ren, D. mTOR regulates lysosomal ATP-sensitive two-pore Na(+) channels to adapt to metabolic state. Cell 2013, 152, 778–790. [Google Scholar] [CrossRef]
  24. Powell, J.D.; Pollizzi, K.N.; Heikamp, E.B.; Horton, M.R. Regulation of immune responses by mTOR. Ann. Rev. Immunol. 2012, 30, 39–68. [Google Scholar]
  25. Colombetti, S.; Basso, V.; Mueller, D.L.; Mondino, A. Prolonged TCR/CD28 engagement drives IL-2-independent T cell clonal expansion through signaling mediated by the mammalian target of rapamycin. J. Immunol. 2006, 176, 2730–2738. [Google Scholar]
  26. Powell, J.D.; Delgoffe, G.M. The mammalian target of rapamycin: Linking T cell differentiation, function, and metabolism. Immunity 2010, 33, 301–311. [Google Scholar] [CrossRef]
  27. Rao, R.R.; Li, Q.; Odunsi, K.; Shrikant, P.A. The mTOR kinase determines effector versus memory CD8+ T cell fate by regulating the expression of transcription factors T-bet and Eomesodermin. Immunity 2010, 32, 67–78. [Google Scholar] [CrossRef]
  28. Rao, R.R.; Li, Q.; Shrikant, P.A. Fine-tuning CD8(+) T cell functional responses: mTOR acts as a rheostat for regulating CD8(+) T cell proliferation, survival and differentiation? Cell Cycle 2010, 9, 2996–3001. [Google Scholar] [CrossRef]
  29. Gulen, M.F.; Kang, Z.; Bulek, K.; Youzhong, W.; Kim, T.W.; Chen, Y.; Altuntas, C.Z.; Sass Bak-Jensen, K.; McGeachy, M.J.; Do, J.S.; et al. The receptor SIGIRR suppresses Th17 cell proliferation via inhibition of the interleukin-1 receptor pathway and mTOR kinase activation. Immunity 2010, 32, 54–66. [Google Scholar] [CrossRef]
  30. Xiao, H.; Yin, W.; Khan, M.A.; Gulen, M.F.; Zhou, H.; Sham, H.P.; Jacobson, K.; Vallance, B.A.; Li, X. Loss of single immunoglobulin interlukin-1 receptor-related molecule leads to enhanced colonic polyposis in Apc(min) mice. Gastroenterology 2010, 139, 574–585. [Google Scholar] [CrossRef]
  31. Garami, A.; Zwartkruis, F.J.; Nobukuni, T.; Joaquin, M.; Roccio, M.; Stocker, H.; Kozma, S.C.; Hafen, E.; Bos, J.L.; Thomas, G. Insulin activation of Rheb, a mediator of mTOR/S6K/4E-BP signaling, is inhibited by TSC1 and 2. Mol. Cell 2003, 11, 1457–1466. [Google Scholar] [CrossRef]
  32. Stocker, H.; Radimerski, T.; Schindelholz, B.; Wittwer, F.; Belawat, P.; Daram, P.; Breuer, S.; Thomas, G.; Hafen, E. Rheb is an essential regulator of S6K in controlling cell growth in Drosophila. Nat. Cell Biol. 2003, 5, 559–565. [Google Scholar]
  33. Nobukini, T.; Thomas, G. The mTOR/S6K signalling pathway: The role of the TSC1/2 tumour suppressor complex and the proto-oncogene Rheb. Novartis Found. Symp. 2004, 262, 148–154; discussion 154–159, 265–268. [Google Scholar] [CrossRef]
  34. Kwiatkowski, D.J.; Zhang, H.; Bandura, J.L.; Heiberger, K.M.; Glogauer, M.; el-Hashemite, N.; Onda, H. A mouse model of TSC1 reveals sex-dependent lethality from liver hemangiomas, and up-regulation of p70S6 kinase activity in Tsc1 null cells. Hum. Mol. Genet. 2002, 11, 525–534. [Google Scholar] [CrossRef]
  35. Kwiatkowski, D.J.; Manning, B.D. Tuberous sclerosis: A GAP at the crossroads of multiple signaling pathways. Hum. Mol. Genet. 2005, 14, R251–R258. [Google Scholar] [CrossRef]
  36. Inoki, K.; Ouyang, H.; Zhu, T.; Lindvall, C.; Wang, Y.; Zhang, X.; Yang, Q.; Bennett, C.; Harada, Y.; Stankunas, K.; et al. TSC2 integrates Wnt and energy signals via a coordinated phosphorylation by AMPK and GSK3 to regulate cell growth. Cell 2006, 126, 955–968. [Google Scholar] [CrossRef]
  37. Yoshida, S.; Hong, S.; Suzuki, T.; Nada, S.; Mannan, A.M.; Wang, J.; Okada, M.; Guan, K.L.; Inoki, K. Redox regulates mammalian target of rapamycin complex 1 (mTORC1) activity by modulating the TSC1/TSC2-Rheb GTPase pathway. J. Biol. Chem. 2011, 286, 32651–32660. [Google Scholar] [CrossRef]
  38. Yang, Q.; Inoki, K.; Kim, E.; Guan, K.L. TSC1/TSC2 and Rheb have different effects on TORC1 and TORC2 activity. Proc. Natl. Acad. Sci. USA 2006, 103, 6811–6816. [Google Scholar] [CrossRef]
  39. Um, S.H.; Frigerio, F.; Watanabe, M.; Picard, F.; Joaquin, M.; Sticker, M.; Fumagalli, S.; Allegrini, P.R.; Kozma, S.C.; Auwerx, J.; et al. Absence of S6K1 protects against age- and diet-induced obesity while enhancing insulin sensitivity. Nature 2004, 431, 200–205. [Google Scholar] [CrossRef]
  40. Peterson, T.R.; Sengupta, S.S.; Harris, T.E.; Carmack, A.E.; Kang, S.A.; Balderas, E.; Guertin, D.A.; Madden, K.L.; Carpenter, A.E.; Finck, B.N.; et al. mTOR complex 1 regulates lipin 1 localization to control the SREBP pathway. Cell 2011, 146, 408–420. [Google Scholar] [CrossRef]
  41. Kim, S.G.; Hoffman, G.R.; Poulogiannis, G.; Buel, G.R.; Jang, Y.J.; Lee, K.W.; Kim, B.Y.; Erikson, R.L.; Cantley, L.C.; Choo, A.Y.; et al. Metabolic stress controls mTORC1 lysosomal localization and dimerization by regulating the TTT-RUVBL1/2 complex. Mol. Cell 2013, 49, 172–185. [Google Scholar]
  42. Sparks, C.A.; Guertin, D.A. Targeting mTOR: Prospects for mTOR complex 2 inhibitors in cancer therapy. Oncogene 2010, 29, 3733–3744. [Google Scholar] [CrossRef]
  43. Hresko, R.C.; Mueckler, M. mTOR.RICTOR is the Ser473 kinase for Akt/protein kinase B in 3T3-L1 adipocytes. J. Biol. Chem. 2005, 280, 40406–40416. [Google Scholar] [CrossRef]
  44. Yecies, J.L.; Manning, B.D. Transcriptional control of cellular metabolism by mTOR signaling. Cancer Res. 2011, 71, 2815–2820. [Google Scholar] [CrossRef]
  45. Cantor, J.R.; Sabatini, D.M. Cancer cell metabolism: One hallmark, many faces. Cancer Discov. 2012, 2, 881–898. [Google Scholar] [CrossRef]
  46. Warburg, O. The effect of hydrogen peroxide on cancer cells and on embryonic cells. Acta Unio Int. Contra Cancrum 1958, 14, 55–57. [Google Scholar]
  47. Zheng, Y.; Delgoffe, G.M.; Meyer, C.F.; Chan, W.; Powell, J.D. Anergic T cells are metabolically anergic. J. Immunol. 2009, 183, 6095–6101. [Google Scholar] [CrossRef]
  48. Delgoffe, G.M.; Powell, J.D. mTOR: Taking cues from the immune microenvironment. Immunology 2009, 127, 459–465. [Google Scholar] [CrossRef]
  49. Powell, J.D.; Lerner, C.G.; Schwartz, R.H. Inhibition of cell cycle progression by rapamycin induces T cell clonal anergy even in the presence of costimulation. J. Immunol. 1999, 162, 2775–2784. [Google Scholar]
  50. Allen, A.; Zheng, Y.; Gardner, L.; Safford, M.; Horton, M.R.; Powell, J.D. The novel cyclophilin binding compound, sanglifehrin A, disassociates G1 cell cycle arrest from tolerance induction. J. Immunol. 2004, 172, 4797–4803. [Google Scholar]
  51. Vanasek, T.L.; Khoruts, A.; Zell, T.; Mueller, D.L. Antagonistic roles for CTLA-4 and the mammalian target of rapamycin in the regulation of clonal anergy: Enhanced cell cycle progression promotes recall antigen responsiveness. J. Immunol. 2001, 167, 5636–5644. [Google Scholar]
  52. Hay, N.; Sonenberg, N. Upstream and downstream of mTOR. Genes Dev. 2004, 18, 1926–1945. [Google Scholar] [CrossRef]
  53. Lekmine, F.; Uddin, S.; Sassano, A.; Parmar, S.; Brachmann, S.M.; Majchrzak, B.; Sonenberg, N.; Hay, N.; Fish, E.N.; Platanias, L.C. Activation of the p70 S6 kinase and phosphorylation of the 4E-BP1 repressor of mRNA translation by type I interferons. J. Biol. Chem. 2003, 278, 27772–27780. [Google Scholar] [CrossRef]
  54. Gingras, A.C.; Kennedy, S.G.; O’Leary, M.A.; Sonenberg, N.; Hay, N. 4E-BP1, a repressor of mRNA translation, is phosphorylated and inactivated by the Akt(PKB) signaling pathway. Genes Dev. 1998, 12, 502–513. [Google Scholar] [CrossRef]
  55. Fingar, D.C.; Richardson, C.J.; Tee, A.R.; Cheatham, L.; Tsou, C.; Blenis, J. mTOR controls cell cycle progression through its cell growth effectors S6K1 and 4E-BP1/eukaryotic translation initiation factor 4E. Mol. Cell. Biol. 2004, 24, 200–216. [Google Scholar] [CrossRef]
  56. Fingar, D.C.; Blenis, J. Target of rapamycin (TOR): An integrator of nutrient and growth factor signals and coordinator of cell growth and cell cycle progression. Oncogene 2004, 23, 3151–3171. [Google Scholar] [CrossRef]
  57. Guertin, D.A.; Stevens, D.M.; Thoreen, C.C.; Burds, A.A.; Kalaany, N.Y.; Moffat, J.; Brown, M.; Fitzgerald, K.J.; Sabatini, D.M. Ablation in mice of the mTORC components raptor, rictor, or mLST8 reveals that mTORC2 is required for signaling to Akt-FOXO and PKCalpha, but not S6K1. Dev. Cell 2006, 11, 859–871. [Google Scholar] [CrossRef]
  58. Lazorchak, A.S.; Su, B. Perspectives on the role of mTORC2 in B lymphocyte development, immunity and tumorigenesis. Protein Cell 2011, 2, 523–530. [Google Scholar] [CrossRef]
  59. Yuan, M.; Pino, E.; Wu, L.; Kacergis, M.; Soukas, A.A. Identification of Akt-independent regulation of hepatic lipogenesis by mammalian target of rapamycin (mTOR) complex 2. J. Biol. Chem. 2012, 287, 29579–29588. [Google Scholar] [CrossRef]
  60. Mayer, C.; Grummt, I. Ribosome biogenesis and cell growth: mTOR coordinates transcription by all three classes of nuclear RNA polymerases. Oncogene 2006, 25, 6384–6391. [Google Scholar] [CrossRef]
  61. White, R.J.; Sharrocks, A.D. Coordinated control of the gene expression machinery. Trends Genet 2010, 26, 214–220. [Google Scholar] [CrossRef]
  62. Gingras, A.C.; Raught, B.; Sonenberg, N. mTOR signaling to translation. Curr. Top. Microbiol. Immunol. 2004, 279, 169–197. [Google Scholar]
  63. Proud, C.G. Role of mTOR signalling in the control of translation initiation and elongation by nutrients. Curr. Top. Microbiol. Immunol. 2004, 279, 215–244. [Google Scholar] [CrossRef]
  64. Proud, C.G. The multifaceted role of mTOR in cellular stress responses. DNA Repair 2004, 3, 927–934. [Google Scholar] [CrossRef]
  65. Desvergne, B.; Michalik, L.; Wahli, W. Transcriptional regulation of metabolism. Physiol. Rev. 2006, 86, 465–514. [Google Scholar] [CrossRef]
  66. Lian, J.; Yan, X.H.; Peng, J.; Jiang, S.W. The mammalian target of rapamycin pathway and its role in molecular nutrition regulation. Mol. Nutr. Food Res. 2008, 52, 393–399. [Google Scholar] [CrossRef]
  67. Peng, T.; Golub, T.R.; Sabatini, D.M. The immunosuppressant rapamycin mimics a starvation-like signal distinct from amino acid and glucose deprivation. Mol. Cell. Biol. 2002, 22, 5575–5584. [Google Scholar] [CrossRef]
  68. Brown, N.F.; Stefanovic-Racic, M.; Sipula, I.J.; Perdomo, G. The mammalian target of rapamycin regulates lipid metabolism in primary cultures of rat hepatocytes. Metabolism 2007, 56, 1500–1507. [Google Scholar] [CrossRef]
  69. Porstmann, T.; Santos, C.R.; Griffiths, B.; Cully, M.; Wu, M.; Leevers, S.; Griffiths, J.R.; Chung, Y.L.; Schulze, A. SREBP activity is regulated by mTORC1 and contributes to Akt-dependent cell growth. Cell Metab. 2008, 8, 224–236. [Google Scholar] [CrossRef]
  70. Mauvoisin, D.; Rocque, G.; Arfa, O.; Radenne, A.; Boissier, P.; Mounier, C. Role of the PI3-kinase/mTor pathway in the regulation of the stearoyl CoA desaturase (SCD1) gene expression by insulin in liver. J. Cell Commun. Signal. 2007, 1, 113–125. [Google Scholar] [CrossRef]
  71. Kumar, A.; Lawrence, J.C., Jr.; Jung, D.Y.; Ko, H.J.; Keller, S.R.; Kim, J.K.; Magnuson, M.A.; Harris, T.E. Fat cell-specific ablation of rictor in mice impairs insulin-regulated fat cell and whole-body glucose and lipid metabolism. Diabetes 2010, 59, 1397–1406. [Google Scholar] [CrossRef]
  72. Meijer, A.J.; Codogno, P. Regulation and role of autophagy in mammalian cells. Int. J. Biochem. Cell Biol. 2004, 36, 2445–2462. [Google Scholar] [CrossRef]
  73. Iwamaru, A.; Kondo, Y.; Iwado, E.; Aoki, H.; Fujiwara, K.; Yokoyama, T.; Mills, G.B.; Kondo, S. Silencing mammalian target of rapamycin signaling by small interfering RNA enhances rapamycin-induced autophagy in malignant glioma cells. Oncogene 2007, 26, 1840–1851. [Google Scholar] [CrossRef]
  74. Saltiel, A.R.; Kahn, C.R. Insulin signalling and the regulation of glucose and lipid metabolism. Nature 2001, 414, 799–806. [Google Scholar] [CrossRef]
  75. Zhong, H.; Chiles, K.; Feldser, D.; Laughner, E.; Hanrahan, C.; Georgescu, M.M.; Simons, J.W.; Semenza, G.L. Modulation of hypoxia-inducible factor 1alpha expression by the epidermal growth factor/phosphatidylinositol 3-kinase/PTEN/AKT/FRAP pathway in human prostate cancer cells: Implications for tumor angiogenesis and therapeutics. Cancer Res. 2000, 60, 1541–1545. [Google Scholar]
  76. Hudson, C.C.; Liu, M.; Chiang, G.G.; Otterness, D.M.; Loomis, D.C.; Kaper, F.; Giaccia, A.J.; Abraham, R.T. Regulation of hypoxia-inducible factor 1alpha expression and function by the mammalian target of rapamycin. Mol. Cell. Biol. 2002, 22, 7004–7014. [Google Scholar] [CrossRef]
  77. Hu, C.J.; Wang, L.Y.; Chodosh, L.A.; Keith, B.; Simon, M.C. Differential roles of hypoxia-inducible factor 1α (HIF-1α) and HIF-2α in hypoxic gene regulation. Mol. Cell. Biol. 2003, 23, 9361–9374. [Google Scholar] [CrossRef]
  78. Liu, H.; Remedi, M.S.; Pappan, K.L.; Kwon, G.; Rohatgi, N.; Marshall, C.A.; McDaniel, M.L. Glycogen synthase kinase-3 and mammalian target of rapamycin pathways contribute to DNA synthesis, cell cycle progression, and proliferation in human islets. Diabetes 2009, 58, 663–672. [Google Scholar]
  79. Wagle, A.; Jivraj, S.; Garlock, G.L.; Stapleton, S.R. Insulin regulation of glucose-6-phosphate dehydrogenase gene expression is rapamycin-sensitive and requires phosphatidylinositol 3-kinase. J. Biol. Chem. 1998, 273, 14968–14974. [Google Scholar] [CrossRef]
  80. Dunlop, E.A.; Tee, A.R. Mammalian target of rapamycin complex 1: Signalling inputs, substrates and feedback mechanisms. Cell Signal. 2009, 21, 827–835. [Google Scholar] [CrossRef]
  81. Vila-Bedmar, R.; Lorenzo, M.; Fernandez-Veledo, S. Adenosine 5′-monophosphate-activated protein kinase-mammalian target of rapamycin cross talk regulates brown adipocyte differentiation. Endocrinology 2010, 151, 980–992. [Google Scholar] [CrossRef]
  82. Ekim, B.; Magnuson, B.; Acosta-Jaquez, H.A.; Keller, J.A.; Feener, E.P.; Fingar, D.C. mTOR kinase domain phosphorylation promotes mTORC1 signaling, cell growth, and cell cycle progression. Mol. Cell. Biol. 2011, 31, 2787–2801. [Google Scholar] [CrossRef]
  83. Festuccia, W.T.; Laplante, M.; Brule, S.; Houde, V.P.; Achouba, A.; Lachance, D.; Pedrosa, M.L.; Silva, M.E.; Guerra-Sa, R.; Couet, J.; et al. Rosiglitazone-induced heart remodelling is associated with enhanced turnover of myofibrillar protein and mTOR activation. J. Mol. Cell. Cardiol. 2009, 47, 85–95. [Google Scholar] [CrossRef]
  84. Powers, T. Cell growth control: mTOR takes on fat. Mol. Cell 2008, 31, 775–776. [Google Scholar] [CrossRef]
  85. Soliman, G.A.; Acosta-Jaquez, H.A.; Fingar, D.C. mTORC1 inhibition via rapamycin promotes triacylglycerol lipolysis and release of free fatty acids in 3T3-L1 adipocytes. Lipids 2010, 45, 1089–1100. [Google Scholar] [CrossRef]
  86. Fraenkel, M.; Ketzinel-Gilad, M.; Ariav, Y.; Pappo, O.; Karaca, M.; Castel, J.; Berthault, M.F.; Magnan, C.; Cerasi, E.; Kaiser, N.; et al. mTOR inhibition by rapamycin prevents β-cell adaptation to hyperglycemia and exacerbates the metabolic state in type 2 diabetes. Diabetes 2008, 57, 945–957. [Google Scholar] [CrossRef]
  87. Leibowitz, G.; Kaiser, N.; Cerasi, E. Balancing needs and means: The dilemma of the beta-cell in the modern world. Diabetes Obes. Metab. 2009, 11 (Suppl. 4), 1–9. [Google Scholar] [CrossRef]
  88. Kimball, S.R. Regulation of translation initiation by amino acids in eukaryotic cells. Prog. Mol. Subcell Biol. 2001, 26, 155–184. [Google Scholar] [CrossRef]
  89. Roh, C.; Han, J.; Tzatsos, A.; Kandror, K.V. Nutrient-sensing mTOR-mediated pathway regulates leptin production in isolated rat adipocytes. Am. J. Physiol. Endocrinol. Metab. 2003, 284, E322–E330. [Google Scholar]
  90. Tokunaga, C.; Yoshino, K.; Yonezawa, K. mTOR integrates amino acid- and energy-sensing pathways. Biochem. Biophys. Res. Commun. 2004, 313, 443–446. [Google Scholar] [CrossRef]
  91. Kim, D.H.; Sabatini, D.M. Raptor and mTOR: Subunits of a nutrient-sensitive complex. Curr. Top. Microbiol. Immunol. 2004, 279, 259–270. [Google Scholar] [CrossRef]
  92. Kimball, S.R.; Jefferson, L.S. Molecular mechanisms through which amino acids mediate signaling through the mammalian target of rapamycin. Curr. Opin. Clin. Nutr. Metab. Care 2004, 7, 39–44. [Google Scholar] [CrossRef]
  93. Matsumura, T.; Morinaga, Y.; Fujitani, S.; Takehana, K.; Nishitani, S.; Sonaka, I. Oral administration of branched-chain amino acids activates the mTOR signal in cirrhotic rat liver. Hepatol. Res. 2005, 33, 27–32. [Google Scholar] [CrossRef]
  94. Nishitani, S.; Ijichi, C.; Takehana, K.; Fujitani, S.; Sonaka, I. Pharmacological activities of branched-chain amino acids: Specificity of tissue and signal transduction. Biochem. Biophys. Res. Commun. 2004, 313, 387–389. [Google Scholar] [CrossRef]
  95. Roscic, A.; Baldo, B.; Crochemore, C.; Marcellin, D.; Paganetti, P. Induction of autophagy with catalytic mTOR inhibitors reduces huntingtin aggregates in a neuronal cell model. J. Neurochem. 2011, 119, 398–407. [Google Scholar] [CrossRef]
  96. Delves, P.J.; Maitin, S.; Burton, D.R.; Roitt, I.M. Roitt’s Essential Immunology, 12th ed; Wiley-Blackwell: Hoboken, NJ, USA, 2011. [Google Scholar]
  97. Chi, H. Regulation and function of mTOR signalling in T cell fate decisions. Nat. Rev. Immunol. 2012, 12, 325–338. [Google Scholar]
  98. Iwasaki, A.; Medzhitov, R. Regulation of adaptive immunity by the innate immune system. Science 2010, 327, 291–295. [Google Scholar] [CrossRef]
  99. Haidinger, M.; Poglitsch, M.; Geyeregger, R.; Kasturi, S.; Zeyda, M.; Zlabinger, G.J.; Pulendran, B.; Horl, W.H.; Saemann, M.D.; Weichhart, T. A versatile role of mammalian target of rapamycin in human dendritic cell function and differentiation. J. Immunol. 2010, 185, 3919–3931. [Google Scholar] [CrossRef]
  100. Katholnig, K.; Kaltenecker, C.C.; Hayakawa, H.; Rosner, M.; Lassnig, C.; Zlabinger, G.J.; Gaestel, M.; Muller, M.; Hengstschlager, M.; Horl, W.H.; et al. p38alpha senses environmental stress to control innate immune responses via mechanistic target of rapamycin. J. Immunol. 2013, 190, 1519–1527. [Google Scholar] [CrossRef]
  101. Haidinger, M.; Werzowa, J.; Weichhart, T.; Saemann, M.D. Targeting the dysregulated mammalian target of rapamycin pathway in organ transplantation: Killing 2 birds with 1 stone. Transplant. Rev. 2011, 25, 145–153. [Google Scholar] [CrossRef]
  102. Saemann, M.D.; Haidinger, M.; Hecking, M.; Horl, W.H.; Weichhart, T. The multifunctional role of mTOR in innate immunity: Implications for transplant immunity. Am. J. Transplant. 2009, 9, 2655–2661. [Google Scholar] [CrossRef]
  103. Weichhart, T.; Saemann, M.D. The PI3K/Akt/mTOR pathway in innate immune cells: Emerging therapeutic applications. Ann. Rheum. Dis. 2008, 67 (Suppl. 3), iii70–iii74. [Google Scholar] [CrossRef]
  104. Hackstein, H.; Taner, T.; Zahorchak, A.F.; Morelli, A.E.; Logar, A.J.; Gessner, A.; Thomson, A.W. Rapamycin inhibits IL-4––Induced dendritic cell maturation in vitro and dendritic cell mobilization and function in vivo. Blood 2003, 101, 4457–4463. [Google Scholar] [CrossRef]
  105. Hackstein, H.; Taner, T.; Logar, A.J.; Thomson, A.W. Rapamycin inhibits macropinocytosis and mannose receptor-mediated endocytosis by bone marrow-derived dendritic cells. Blood 2002, 100, 1084–1087. [Google Scholar] [CrossRef]
  106. Monti, P.; Mercalli, A.; Leone, B.E.; Valerio, D.C.; Allavena, P.; Piemonti, L. Rapamycin impairs antigen uptake of human dendritic cells. Transplantation 2003, 75, 137–145. [Google Scholar] [CrossRef]
  107. Sathaliyawala, T.; O’Gorman, W.E.; Greter, M.; Bogunovic, M.; Konjufca, V.; Hou, Z.E.; Nolan, G.P.; Miller, M.J.; Merad, M.; Reizis, B. Mammalian target of rapamycin controls dendritic cell development downstream of Flt3 ligand signaling. Immunity 2010, 33, 597–606. [Google Scholar] [CrossRef]
  108. Turnquist, H.R.; Raimondi, G.; Zahorchak, A.F.; Fischer, R.T.; Wang, Z.; Thomson, A.W. Rapamycin-conditioned dendritic cells are poor stimulators of allogeneic CD4+ T cells, but enrich for antigen-specific Foxp3+ T regulatory cells and promote organ transplant tolerance. J. Immunol. 2007, 178, 7018–7031. [Google Scholar]
  109. Ohtani, M.; Hoshii, T.; Fujii, H.; Koyasu, S.; Hirao, A.; Matsuda, S. Cutting edge: mTORC1 in intestinal CD11c+ CD11b+ dendritic cells regulates intestinal homeostasis by promoting IL-10 production. J. Immunol. 2012, 188, 4736–4740. [Google Scholar] [CrossRef]
  110. Weichhart, T.; Costantino, G.; Poglitsch, M.; Rosner, M.; Zeyda, M.; Stuhlmeier, K.M.; Kolbe, T.; Stulnig, T.M.; Horl, W.H.; Hengstschlager, M.; et al. The TSC-mTOR signaling pathway regulates the innate inflammatory response. Immunity 2008, 29, 565–577. [Google Scholar] [CrossRef]
  111. Neudoerfl, C.; Mueller, B.J.; Blume, C.; Daemen, K.; Stevanovic-Meyer, M.; Keil, J.; Lehner, F.; Haller, H.; Falk, C.S. The peripheral NK cell repertoire after kidney transplantation is modulated by different immunosuppressive drugs. Front. Immunol. 2013, 4, 46. [Google Scholar] [CrossRef]
  112. Weichhart, T. Mammalian target of rapamycin: A signaling kinase for every aspect of cellular life. Methods Mol. Biol. 2012, 821, 1–14. [Google Scholar] [CrossRef]
  113. Thomson, A.W.; Turnquist, H.R.; Raimondi, G. Immunoregulatory functions of mTOR inhibition. Nat. Rev. Immunol. 2009, 9, 324–337. [Google Scholar] [CrossRef]
  114. Rosborough, B.R.; Raich-Regue, D.; Matta, B.M.; Lee, K.; Gan, B.; Depinho, R.A.; Hackstein, H.; Boothby, M.; Turnquist, H.R.; Thomson, A.W. Murine dendritic cell rapamycin-resistant and rictor-independent mTOR controls IL-10, B7-H1 and regulatory T cell induction. Blood 2013. [Google Scholar] [CrossRef]
  115. Schmitz, F.; Heit, A.; Dreher, S.; Eisenacher, K.; Mages, J.; Haas, T.; Krug, A.; Janssen, K.P.; Kirschning, C.J.; Wagner, H. Mammalian target of rapamycin (mTOR) orchestrates the defense program of innate immune cells. Eur. J. Immunol. 2008, 38, 2981–2992. [Google Scholar] [CrossRef]
  116. Kirsch, A.H.; Riegelbauer, V.; Tagwerker, A.; Rudnicki, M.; Rosenkranz, A.R.; Eller, K. The mTOR-inhibitor rapamycin mediates proteinuria in nephrotoxic serum nephritis by activating the innate immune response. Am. J. Physiol. Ren. Physiol. 2012, 303, F569–F575. [Google Scholar] [CrossRef]
  117. Wicker, L.S.; Boltz, R.C., Jr.; Matt, V.; Nichols, E.A.; Peterson, L.B.; Sigal, N.H. Suppression of B cell activation by cyclosporin A, FK506 and rapamycin. Eur. J. Immunol. 1990, 20, 2277–2283. [Google Scholar] [CrossRef]
  118. Kay, J.E.; Kromwel, L.; Doe, S.E.; Denyer, M. Inhibition of T and B lymphocyte proliferation by rapamycin. Immunology 1991, 72, 544–549. [Google Scholar]
  119. Aagaard-Tillery, K.M.; Jelinek, D.F. Inhibition of human B lymphocyte cell cycle progression and differentiation by rapamycin. Cell. Immunol. 1994, 156, 493–507. [Google Scholar] [CrossRef]
  120. Sakata, A.; Kuwahara, K.; Ohmura, T.; Inui, S.; Sakaguchi, N. Involvement of a rapamycin-sensitive pathway in CD40-mediated activation of murine B cells in vitro. Immunol. Lett. 1999, 68, 301–309. [Google Scholar] [CrossRef]
  121. Donahue, A.C.; Fruman, D.A. Distinct signaling mechanisms activate the target of rapamycin in response to different B-cell stimuli. Eur. J. Immunol. 2007, 37, 2923–2936. [Google Scholar] [CrossRef]
  122. Zhang, S.; Readinger, J.A.; DuBois, W.; Janka-Junttila, M.; Robinson, R.; Pruitt, M.; Bliskovsky, V.; Wu, J.Z.; Sakakibara, K.; Patel, J.; et al. Constitutive reductions in mTOR alter cell size, immune cell development, and antibody production. Blood 2011, 117, 1228–1238. [Google Scholar] [CrossRef]
  123. Benhamron, S.; Tirosh, B. Direct activation of mTOR in B lymphocytes confers impairment in B-cell maturation andloss of marginal zone B cells. Eur. J. Immunol. 2011, 41, 2390–2396. [Google Scholar] [CrossRef]
  124. Llorian, M.; Stamataki, Z.; Hill, S.; Turner, M.; Martensson, I.L. The PI3K p110delta is required for down-regulation of RAG expression in immature B cells. J. Immunol. 2007, 178, 1981–1985. [Google Scholar]
  125. Donahue, A.C.; Fruman, D.A. Proliferation and survival of activated B cells requires sustained antigen receptor engagement and phosphoinositide 3-kinase activation. J. Immunol. 2003, 170, 5851–5860. [Google Scholar]
  126. Hess, K.L.; Donahue, A.C.; Ng, K.L.; Moore, T.I.; Oak, J.; Fruman, D.A. Frontline: The p85alpha isoform of phosphoinositide 3-kinase is essential for a subset of B cell receptor-initiated signaling responses. Eur. J. Immunol. 2004, 34, 2968–2976. [Google Scholar] [CrossRef]
  127. Goldfinger, M.; Shmuel, M.; Benhamron, S.; Tirosh, B. Protein synthesis in plasma cells is regulated by crosstalk between endoplasmic reticulum stress and mTOR signaling. Eur. J. Immunol. 2011, 41, 491–502. [Google Scholar] [CrossRef]
  128. Waickman, A.T.; Powell, J.D. Mammalian target of rapamycin integrates diverse inputs to guide the outcome of antigen recognition in T cells. J. Immunol. 2012, 188, 4721–4729. [Google Scholar] [CrossRef]
  129. Katzman, S.D.; O’Gorman, W.E.; Villarino, A.V.; Gallo, E.; Friedman, R.S.; Krummel, M.F.; Nolan, G.P.; Abbas, A.K. Duration of antigen receptor signaling determines T-cell tolerance or activation. Proc. Natl. Acad. Sci. USA 2010, 107, 18085–18090. [Google Scholar] [CrossRef]
  130. Hackstein, H. Rapamycin and dendritic cells: Keep on movin’. Transplantation 2006, 82, 739–740. [Google Scholar] [CrossRef]
  131. Yang, K.; Neale, G.; Green, D.R.; He, W.; Chi, H. The tumor suppressor Tsc1 enforces quiescence of naive T cells to promote immune homeostasis and function. Nat. Immunol. 2011, 12, 888–897. [Google Scholar] [CrossRef]
  132. Zhang, L.; Zhang, H.; Li, L.; Xiao, Y.; Rao, E.; Miao, Z.; Chen, H.; Sun, L.; Li, H.; Liu, G.; et al. TSC1/2 signaling complex is essential for peripheral naive CD8+ T cell survival and homeostasis in mice. PLoS One 2012, 7, e30592. [Google Scholar] [CrossRef]
  133. Gao, N.; Zhang, Z.; Jiang, B.H.; Shi, X. Role of PI3K/AKT/mTOR signaling in the cell cycle progression of human prostate cancer. Biochem. Biophys. Res. Commun. 2003, 310, 1124–1132. [Google Scholar] [CrossRef]
  134. Gao, N.; Flynn, D.C.; Zhang, Z.; Zhong, X.S.; Walker, V.; Liu, K.J.; Shi, X.; Jiang, B.H. G1 cell cycle progression and the expression of G1 cyclins are regulated by PI3K/AKT/mTOR/p70S6K1 signaling in human ovarian cancer cells. Am. J. Physiol. Cell Physiol. 2004, 287, C281–C291. [Google Scholar] [CrossRef]
  135. Jones, R.G.; Thompson, C.B. Revving the engine: Signal transduction fuels T cell activation. Immunity 2007, 27, 173–178. [Google Scholar] [CrossRef]
  136. De Zoeten, E.F.; Lee, I.; Wang, L.; Chen, C.; Ge, G.; Wells, A.D.; Hancock, W.W.; Ozkaynak, E. Foxp3 processing by proprotein convertases and control of regulatory T cell function. J. Biol. Chem. 2009, 284, 5709–5716. [Google Scholar]
  137. Mercer, F.; Unutmaz, D. The biology of FoxP3: A key player in immune suppression during infections, autoimmune diseases and cancer. Adv. Exp. Med. Biol. 2009, 665, 47–59. [Google Scholar] [CrossRef]
  138. Battaglia, M.; Stabilini, A.; Roncarolo, M.G. Rapamycin selectively expands CD4+CD25+FoxP3+ regulatory T cells. Blood 2005, 105, 4743–4748. [Google Scholar] [CrossRef]
  139. Battaglia, M.; Stabilini, A.; Migliavacca, B.; Horejs-Hoeck, J.; Kaupper, T.; Roncarolo, M.G. Rapamycin promotes expansion of functional CD4+CD25+FOXP3+ regulatory T cells of both healthy subjects and type 1 diabetic patients. J. Immunol. 2006, 177, 8338–8347. [Google Scholar]
  140. Monti, P.; Scirpoli, M.; Maffi, P.; Piemonti, L.; Secchi, A.; Bonifacio, E.; Roncarolo, M.G.; Battaglia, M. Rapamycin monotherapy in patients with type 1 diabetes modifies CD4+CD25+FOXP3+ regulatory T-cells. Diabetes 2008, 57, 2341–2347. [Google Scholar] [CrossRef]
  141. Kang, J.; Huddleston, S.J.; Fraser, J.M.; Khoruts, A. De novo induction of antigen-specific CD4+CD25+Foxp3+ regulatory T cells in vivo following systemic antigen administration accompanied by blockade of mTOR. J. Leukoc. Biol. 2008, 83, 1230–1239. [Google Scholar] [CrossRef]
  142. Kopf, H.; de la Rosa, G.M.; Howard, O.M.; Chen, X. Rapamycin inhibits differentiation of Th17 cells and promotes generation of FoxP3+ T regulatory cells. Int. Immunopharmacol. 2007, 7, 1819–1824. [Google Scholar] [CrossRef]
  143. Zeiser, R.; Leveson-Gower, D.B.; Zambricki, E.A.; Kambham, N.; Beilhack, A.; Loh, J.; Hou, J.Z.; Negrin, R.S. Differential impact of mammalian target of rapamycin inhibition on CD4+CD25+Foxp3+ regulatory T cells compared with conventional CD4+ T cells. Blood 2008, 111, 453–462. [Google Scholar] [CrossRef]
  144. Delgoffe, G.M.; Pollizzi, K.N.; Waickman, A.T.; Heikamp, E.; Meyers, D.J.; Horton, M.R.; Xiao, B.; Worley, P.F.; Powell, J.D. The kinase mTOR regulates the differentiation of helper T cells through the selective activation of signaling by mTORC1 and mTORC2. Nat. Immunol. 2011, 12, 295–303. [Google Scholar]
  145. Shi, L.Z.; Wang, R.; Huang, G.; Vogel, P.; Neale, G.; Green, D.R.; Chi, H. HIF1alpha-dependent glycolytic pathway orchestrates a metabolic checkpoint for the differentiation of TH17 and Treg cells. J. Exp. Med. 2011, 208, 1367–1376. [Google Scholar] [CrossRef]
  146. Liu, Q.; Xu, C.; Kirubakaran, S.; Zhang, X.; Hur, W.; Liu, Y.; Kwiatkowski, N.P.; Wang, J.; Westover, K.D.; Gao, P.; et al. Characterization of Torin2, an ATP-competitive inhibitor of mTOR, ATM and ATR. Cancer Res. 2013, 73, 2574–2586. [Google Scholar] [CrossRef]
  147. Cobbold, S.P.; Adams, E.; Farquhar, C.A.; Nolan, K.F.; Howie, D.; Lui, K.O.; Fairchild, P.J.; Mellor, A.L.; Ron, D.; Waldmann, H. Infectious tolerance via the consumption of essential amino acids and mTOR signaling. Proc. Natl. Acad. Sci. USA 2009, 106, 12055–12060. [Google Scholar] [CrossRef]
  148. Peter, C.; Waldmann, H.; Cobbold, S.P. mTOR signalling and metabolic regulation of T cell differentiation. Curr. Opin. Immunol. 2010, 22, 655–661. [Google Scholar] [CrossRef]
  149. Merkenschlager, M.; von Boehmer, H. PI3 kinase signalling blocks Foxp3 expression by sequestering Foxo factors. J. Exp. Med. 2010, 207, 1347–1350. [Google Scholar] [CrossRef]
  150. Sauer, S.; Bruno, L.; Hertweck, A.; Finlay, D.; Leleu, M.; Spivakov, M.; Knight, Z.A.; Cobb, B.S.; Cantrell, D.; O’Connor, E.; et al. T cell receptor signaling controls Foxp3 expression via PI3K, Akt, and mTOR. Proc. Natl. Acad. Sci. USA 2008, 105, 7797–7802. [Google Scholar] [CrossRef]
  151. Delgoffe, G.M.; Kole, T.P.; Zheng, Y.; Zarek, P.E.; Matthews, K.L.; Xiao, B.; Worley, P.F.; Kozma, S.C.; Powell, J.D. The mTOR kinase differentially regulates effector and regulatory T cell lineage commitment. Immunity 2009, 30, 832–844. [Google Scholar] [CrossRef]
  152. Waickman, A.T.; Powell, J.D. mTOR, metabolism, and the regulation of T-cell differentiation and function. Immunol. Rev. 2012, 249, 43–58. [Google Scholar] [CrossRef]
  153. Lee, K.; Gudapati, P.; Dragovic, S.; Spencer, C.; Joyce, S.; Killeen, N.; Magnuson, M.A.; Boothby, M. Mammalian target of rapamycin protein complex 2 regulates differentiation of Th1 and Th2 cell subsets via distinct signaling pathways. Immunity 2010, 32, 743–753. [Google Scholar] [CrossRef]
  154. Delgoffe, G.M.; Powell, J.D. Exploring functional in vivo consequences of the selective genetic ablation of mTOR signaling in T helper lymphocytes. Methods Mol. Biol. 2012, 821, 317–327. [Google Scholar] [CrossRef]
  155. Yamada, T.; Gierach, K.; Lee, P.H.; Wang, X.; Lacorazza, H.D. Cutting edge: Expression of the transcription factor E74-like factor 4 is regulated by the mammalian target of rapamycin pathway in CD8+ T cells. J. Immunol. 2010, 185, 3824–3828. [Google Scholar] [CrossRef]
  156. Araki, K.; Youngblood, B.; Ahmed, R. The role of mTOR in memory CD8 T-cell differentiation. Immunol. Rev. 2010, 235, 234–243. [Google Scholar] [CrossRef]
  157. Li, Q.; Rao, R.R.; Araki, K.; Pollizzi, K.; Odunsi, K.; Powell, J.D.; Shrikant, P.A. A central role for mTOR kinase in homeostatic proliferation induced CD8+ T cell memory and tumor immunity. Immunity 2011, 34, 541–553. [Google Scholar] [CrossRef]
  158. Finlay, D.K. mTORC1 regulates CD8+ T-cell glucose metabolism and function independently of PI3K and PKB. Biochem. Soc. Trans. 2013, 41, 681–686. [Google Scholar] [CrossRef]
  159. Finlay, D.; Cantrell, D. Phosphoinositide 3-kinase and the mammalian target of rapamycin pathways control T cell migration. Ann. N. Y. Acad. Sci. 2010, 1183, 149–157. [Google Scholar]
  160. Finlay, D.K.; Rosenzweig, E.; Sinclair, L.V.; Feijoo-Carnero, C.; Hukelmann, J.L.; Rolf, J.; Panteleyev, A.A.; Okkenhaug, K.; Cantrell, D.A. PDK1 regulation of mTOR and hypoxia-inducible factor 1 integrate metabolism and migration of CD8+ T cells. J. Exp. Med. 2012, 209, 2441–2453. [Google Scholar] [CrossRef]
  161. Kurebayashi, Y.; Nagai, S.; Ikejiri, A.; Koyasu, S. Recent advances in understanding the molecular mechanisms of the development and function of Th17 cells. Genes Cells Devoted Mol. Cell. Mech. 2013, 18, 247–265. [Google Scholar] [CrossRef]
  162. Ikejiri, A.; Nagai, S.; Goda, N.; Kurebayashi, Y.; Osada-Oka, M.; Takubo, K.; Suda, T.; Koyasu, S. Dynamic regulation of Th17 differentiation by oxygen concentrations. Int. Immunol. 2012, 24, 137–146. [Google Scholar]
  163. Sengupta, S.; Peterson, T.R.; Sabatini, D.M. Regulation of the mTOR complex 1 pathway by nutrients, growth factors, and stress. Mol. Cell 2010, 40, 310–322. [Google Scholar] [CrossRef]
  164. Majumder, P.K.; Febbo, P.G.; Bikoff, R.; Berger, R.; Xue, Q.; McMahon, L.M.; Manola, J.; Brugarolas, J.; McDonnell, T.J.; Golub, T.R.; et al. mTOR inhibition reverses Akt-dependent prostate intraepithelial neoplasia through regulation of apoptotic and HIF-1-dependent pathways. Nat. Med. 2004, 10, 594–601. [Google Scholar] [CrossRef]
  165. Brugarolas, J.; Lei, K.; Hurley, R.L.; Manning, B.D.; Reiling, J.H.; Hafen, E.; Witters, L.A.; Ellisen, L.W.; Kaelin, W.G., Jr. Regulation of mTOR function in response to hypoxia by REDD1 and the TSC1/TSC2 tumor suppressor complex. Genes Dev. 2004, 18, 2893–2904. [Google Scholar] [CrossRef]
  166. Araki, K.; Turner, A.P.; Shaffer, V.O.; Gangappa, S.; Keller, S.A.; Bachmann, M.F.; Larsen, C.P.; Ahmed, R. mTOR regulates memory CD8 T-cell differentiation. Nature 2009, 460, 108–112. [Google Scholar] [CrossRef]
  167. He, S.; Kato, K.; Jiang, J.; Wahl, D.R.; Mineishi, S.; Fisher, E.M.; Murasko, D.M.; Glick, G.D.; Zhang, Y. Characterization of the metabolic phenotype of rapamycin-treated CD8+ T cells with augmented ability to generate long-lasting memory cells. PLoS One 2011, 6, e20107. [Google Scholar] [CrossRef]
  168. Pearce, E.L.; Walsh, M.C.; Cejas, P.J.; Harms, G.M.; Shen, H.; Wang, L.S.; Jones, R.G.; Choi, Y. Enhancing CD8 T-cell memory by modulating fatty acid metabolism. Nature 2009, 460, 103–107. [Google Scholar] [CrossRef]
  169. Hand, T.W.; Cui, W.; Jung, Y.W.; Sefik, E.; Joshi, N.S.; Chandele, A.; Liu, Y.; Kaech, S.M. Differential effects of STAT5 and PI3K/AKT signaling on effector and memory CD8 T-cell survival. Proc. Natl. Acad. Sci. USA 2010, 107, 16601–16606. [Google Scholar]
  170. Wang, Y.; Wang, X.Y.; Subjeck, J.R.; Shrikant, P.A.; Kim, H.L. Temsirolimus, an mTOR inhibitor, enhances anti-tumour effects of heat shock protein cancer vaccines. Br. J. Cancer 2011, 104, 643–652. [Google Scholar] [CrossRef]
  171. Turner, A.P.; Shaffer, V.O.; Araki, K.; Martens, C.; Turner, P.L.; Gangappa, S.; Ford, M.L.; Ahmed, R.; Kirk, A.D.; Larsen, C.P. Sirolimus enhances the magnitude and quality of viral-specific CD8+ T-cell responses to vaccinia virus vaccination in rhesus macaques. Am. J. Transplant. 2011, 11, 613–618. [Google Scholar] [CrossRef]
  172. El Essawy, B.; Putheti, P.; Gao, W.; Strom, T.B. Rapamycin generates graft-homing murine suppressor CD8(+) T cells that confer donor-specific graft protection. Cell Transplant. 2011, 20, 1759–1769. [Google Scholar] [CrossRef]
  173. Ferrer, I.R.; Wagener, M.E.; Robertson, J.M.; Turner, A.P.; Araki, K.; Ahmed, R.; Kirk, A.D.; Larsen, C.P.; Ford, M.L. Cutting edge: Rapamycin augments pathogen-specific but not graft-reactive CD8+ T cell responses. J. Immunol. 2010, 185, 2004–2008. [Google Scholar] [CrossRef]
  174. Zheng, Y.; Collins, S.L.; Lutz, M.A.; Allen, A.N.; Kole, T.P.; Zarek, P.E.; Powell, J.D. A role for mammalian target of rapamycin in regulating T cell activation versus anergy. J. Immunol. 2007, 178, 2163–2170. [Google Scholar]
  175. Taner, T.; Hackstein, H.; Wang, Z.; Morelli, A.E.; Thomson, A.W. Rapamycin-treated, alloantigen-pulsed host dendritic cells induce ag-specific T cell regulation and prolong graft survival. Am. J. Transplant. 2005, 5, 228–236. [Google Scholar] [CrossRef]
  176. Reichardt, W.; Durr, C.; von Elverfeldt, D.; Juttner, E.; Gerlach, U.V.; Yamada, M.; Smith, B.; Negrin, R.S.; Zeiser, R. Impact of mammalian target of rapamycin inhibition on lymphoid homing and tolerogenic function of nanoparticle-labeled dendritic cells following allogeneic hematopoietic cell transplantation. J. Immunol. 2008, 181, 4770–4779. [Google Scholar]
  177. Gabardi, S.; Baroletti, S.A. Everolimus: A proliferation signal inhibitor with clinical applications in organ transplantation, oncology, and cardiology. Pharmacotherapy 2010, 30, 1044–1056. [Google Scholar] [CrossRef]
  178. Dantal, J.; Berthoux, F.; Moal, M.C.; Rostaing, L.; Legendre, C.; Genin, R.; Toupance, O.; Moulin, B.; Merville, P.; Rerolle, J.P.; et al. Efficacy and safety of de novo or early everolimus with low cyclosporine in deceased-donor kidney transplant recipients at specified risk of delayed graft function: 12-Month results of a randomized, multicenter trial. Transpl. Int. 2010, 23, 1084–1093. [Google Scholar] [CrossRef]
  179. Kahan, B.D. Fifteen years of clinical studies and clinical practice in renal transplantation: Reviewing outcomes with de novo use of sirolimus in combination with cyclosporine. Transpl. Proc. 2008, 40 (Suppl. 10), S17–S20. [Google Scholar] [CrossRef]
  180. Rosner, D.; McCarthy, N.; Bennett, M. Rapamycin inhibits human in stent restenosis vascular smooth muscle cells independently of pRB phosphorylation and p53. Cardiovasc. Res. 2005, 66, 601–610. [Google Scholar] [CrossRef]
  181. Sampson, J.R. Therapeutic targeting of mTOR in tuberous sclerosis. Biochem. Soc. Trans. 2009, 37, 259–264. [Google Scholar] [CrossRef]
  182. Hoogeveen, R.C.; Ballantyne, C.M.; Pownall, H.J.; Opekun, A.R.; Hachey, D.L.; Jaffe, J.S.; Oppermann, S.; Kahan, B.D.; Morrisett, J.D. Effect of sirolimus on the metabolism of apoB100-containing lipoproteins in renal transplant patients. Transplantation 2001, 72, 1244–1250. [Google Scholar] [CrossRef]
  183. Kahan, B.D.; Napoli, K.L.; Kelly, P.A.; Podbielski, J.; Hussein, I.; Urbauer, D.L.; Katz, S.H.; van Buren, C.T. Therapeutic drug monitoring of sirolimus: Correlations with efficacy and toxicity. Clin. Transplant. 2000, 14, 97–109. [Google Scholar] [CrossRef]
  184. Chueh, S.C.; Kahan, B.D. Dyslipidemia in renal transplant recipients treated with a sirolimus and cyclosporine-based immunosuppressive regimen: Incidence, risk factors, progression, and prognosis. Transplantation 2003, 76, 375–382. [Google Scholar] [CrossRef]
  185. Kovarik, J.M.; Kaplan, B.; Tedesco Silva, H.; Kahan, B.D.; Dantal, J.; Vitko, S.; Boger, R.; Rordorf, C. Exposure-response relationships for everolimus in de novo kidney transplantation: Defining a therapeutic range. Transplantation 2002, 73, 920–925. [Google Scholar] [CrossRef]
  186. McGaha, T.L.; Huang, L.; Lemos, H.; Metz, R.; Mautino, M.; Prendergast, G.C.; Mellor, A.L. Amino acid catabolism: A pivotal regulator of innate and adaptive immunity. Immunol. Rev. 2012, 249, 135–157. [Google Scholar] [CrossRef]
  187. Morrisett, J.D.; Abdel-Fattah, G.; Hoogeveen, R.; Mitchell, E.; Ballantyne, C.M.; Pownall, H.J.; Opekun, A.R.; Jaffe, J.S.; Oppermann, S.; Kahan, B.D. Effects of sirolimus on plasma lipids, lipoprotein levels, and fatty acid metabolism in renal transplant patients. J. Lipid Res. 2002, 43, 1170–1180. [Google Scholar]
  188. Meiser, B.; Buchholz, S.; Kaczmarek, I. De-novo calcineurin-inhibitor-free immunosuppression with sirolimus and mycophenolate mofetil after heart transplantation: 5-Year results. Curr. Opin. Organ Transplant. 2011, 16, 522–528. [Google Scholar] [CrossRef]
  189. Guertin, D.A.; Stevens, D.M.; Saitoh, M.; Kinkel, S.; Crosby, K.; Sheen, J.H.; Mullholland, D.J.; Magnuson, M.A.; Wu, H.; Sabatini, D.M. mTOR complex 2 is required for the development of prostate cancer induced by Pten loss in mice. Cancer Cell 2009, 15, 148–159. [Google Scholar] [CrossRef]
  190. Guertin, D.A.; Sabatini, D.M. The pharmacology of mTOR inhibition. Sci. Signal. 2009, 2, pe24. [Google Scholar] [CrossRef]
  191. Guertin, D.A.; Sabatini, D.M. Defining the role of mTOR in cancer. Cancer Cell 2007, 12, 9–22. [Google Scholar] [CrossRef]
  192. Kordes, S.; Richel, D.J.; Klumpen, H.J.; Weterman, M.J.; Stevens, A.J.; Wilmink, J.W. A phase I/II, non-randomized, feasibility/safety and efficacy study of the combination of everolimus, cetuximab and capecitabine in patients with advanced pancreatic cancer. Investig. New Drugs 2013, 31, 85–91. [Google Scholar] [CrossRef]
  193. Dong, M.; Phan, A.T.; Yao, J.C. New strategies for advanced neuroendocrine tumors in the era of targeted therapy. Clin. Cancer Res. 2012, 18, 1830–1836. [Google Scholar] [CrossRef]
  194. Dong, M.; Yao, J.C. mTOR inhibition, a potential novel approach for bronchial carcinoids. Endocr. Relat. Cancer 2011, 18, C15–C18. [Google Scholar] [CrossRef]
  195. Peng, L.; Schwarz, R.E. Pancreatic neuroendocrine tumors: Signal pathways and targeted therapies. Curr. Mol. Med. 2013, 13, 333–339. [Google Scholar]
  196. Huang, J.; Manning, B.D. A complex interplay between Akt, TSC2 and the two mTOR complexes. Biochem. Soc. Trans. 2009, 37, 217–222. [Google Scholar] [CrossRef]
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