PAQR3 Modulates Insulin Signaling by Shunting Phosphoinositide 3-Kinase p110α to the Golgi Apparatus
- Xiao Wang1,
- Lingdi Wang1,
- Lu Zhu1,
- Yi Pan1,
- Fei Xiao1,
- Weizhong Liu1,
- Zhenzhen Wang1,
- Feifan Guo1,
- Yong Liu1,
- Walter G. Thomas2 and
- Yan Chen1⇓
- 1Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Graduate School of the Chinese Academy of Sciences, Shanghai, China
- 2School of Biomedical Sciences, The University of Queensland, Brisbane, Australia
- Corresponding author: Yan Chen, .
X.W. and L.W. contributed equally to this study.
Phosphoinositide 3-kinase (PI3K) mediates insulin actions by relaying signals from insulin receptors (IRs) to downstream targets. The p110α catalytic subunit of class IA PI3K is the primary insulin-responsive PI3K implicated in insulin signaling. We demonstrate here a new mode of spatial regulation for the p110α subunit of PI3K by PAQR3 that is exclusively localized in the Golgi apparatus. PAQR3 interacts with p110α, and the intracellular targeting of p110α to the Golgi apparatus is reduced by PAQR3 downregulation and increased by PAQR3 overexpression. Insulin-stimulated PI3K activity and phosphoinositide (3,4,5)-triphosphate production are enhanced by Paqr3 deletion and reduced by PAQR3 overexpression in hepatocytes. Deletion of Paqr3 enhances insulin-stimulated phosphorylation of AKT and glycogen synthase kinase 3β, but not phosphorylation of IR and IR substrate-1 (IRS-1), in hepatocytes, mouse liver, and skeletal muscle. Insulin-stimulated GLUT4 translocation to the plasma membrane and glucose uptake are enhanced by Paqr3 ablation. Furthermore, PAQR3 interacts with the domain of p110α involved in its binding with p85, the regulatory subunit of PI3K. Overexpression of PAQR3 dose-dependently reduces the interaction of p85α with p110α. Thus, PAQR3 negatively regulates insulin signaling by shunting cytosolic p110α to the Golgi apparatus while competing with p85 subunit in forming a PI3K complex with p110α.
Insulin resistance is closely associated with the pathogenesis of metabolic diseases, especially type 2 diabetes (1). The phosphoinositide 3-kinase (PI3K)/AKT pathway is central to the metabolic actions of insulin (2,3), and the PI3K family is grouped into three classes (I–III) according to substrate preference and sequence homology. Class IA PI3K comprises heterodimers of a p85 regulatory subunit (p85α, p85β, and p55γ) and a p110 catalytic subunit (p110α, p110β, and p110δ). In response to stimulation by growth factors such as insulin, the p110 subunits catalyze the production of a lipid second messenger phosphatidylinositol-3,4,5-trisphosphate at the plasma membrane (PM). This second messenger, in turn, activates the serine/threonine kinase AKT and other downstream effectors (4,5). The catalytic subunits p110α and p110β are expressed ubiquitously, whereas p110δ is mainly localized in hematopoietic cells (2,3) and likely has actions related to immune cell development and activation (6,7). Mice deficient in either p110α or p110β display embryonic lethality (8,9), and p110α is considered the primary determinant of insulin signaling and insulin sensitivity in vivo. Mice heterozygous for a kinase-dead mutation in p110α have hyperinsulinemia, glucose intolerance, and increased obesity (10), whereas p110β does not contribute to insulin receptor substrate (IRS)–associated PI3K activity (10). Moreover, conditional deletion of p110α in the liver reduces insulin sensitivity and impairs glucose tolerance in the mouse (11), which is not rescued by overexpression of p110β. Finally, a pharmacological approach using a panel of inhibitors specific for different catalytic subunits of PI3K has indicated that p110α is the primary insulin-responsive PI3K required for insulin signaling (12). Interestingly, a role for p110β on insulin action and metabolic control remains unresolved, although it may act to aid in setting a phenotypic threshold for p110α activity (12). Selective deletion of p110β in the mouse liver leads to a certain degree of insulin resistance without affecting AKT phosphorylation, suggesting a kinase-independent mechanism of metabolic regulatory control (13).
PAQR3 belongs to the progesterone and AdipoQ receptor (PAQR) family in which AdipoR1 and AdipoR2 (i.e., PAQR1 and PAQR2) function as cell surface receptors for adiponectin, an adipocyte-secreted cytokine that regulates glucose and lipid metabolism (14,15). Although PAQR3 shares high sequence homology with AdipoR1/PAQR1 and AdipoR2/PAQR2 (16), it is not localized on the PM (17,18). Instead, PAQR3 is exclusively localized in the Golgi apparatus and was renamed RKTG (Raf kinase trapping to Golgi) due to its spatial regulation of Raf kinase (17). Subsequent characterization of PAQR3 indicates that it may function as a tumor suppressor by negatively regulating the Ras to ERK signaling cascade (19–21). Given that PAQR3 regulates Ras/ERK and G protein–coupled receptor signaling pathways by sequestering Raf kinase or Gβ subunit to the Golgi apparatus (17,22), we hypothesized that PAQR3 might also regulate insulin signaling in a spatial manner. As p110α is the primary molecule within the PI3K family that mediates insulin signaling and insulin sensitivity (10–12), we focused on the potential regulation of p110α by PAQR3. In this study, we provide in vitro and in vivo evidence for a unique role of PAQR3 in the spatial regulation of insulin signaling via a capacity to sequester the p110α subunit of PI3K to the Golgi apparatus, thereby limiting its activity.
RESEARCH DESIGN AND METHODS
All animals were maintained and used in accordance with the guidelines of the Institutional Animal Care and Use Committee of the Institute for Nutritional Sciences. All of the experimental procedures were carried out in accordance with the Chinese Academy of Sciences ethics commission with an approval number 2010-AN-8. Paqr3-null mice were generated as previously described, with deletion of the exon 2 whole (17,19). The Paqr3−/− mice were crossed with C57BL/6J for at least five generations. For studies of in vivo insulin signaling, male mice fed with normal chow at 8–10 weeks of age were fasted overnight, followed by intraperitoneal injection of insulin (5 units/kg body weight). The mice were killed after 5 min, and the liver and gastrocnemius muscle were excised and snap frozen for analyses.
Confocal microscopy and quantification of fluorescence signals.
The confocal analyses with overexpression experiments were performed as previously reported (17,22). The Golgi localization was determined by immunostaining with antibodies against either Golgin-97 or GM130, two well-characterized Golgi markers. For the study of localization of endogenous p110α in HEK293T cells, the plasmid for PAQR3 short hairpin RNA (shRNA) or its control were transfected into cells, and the cells were fixed and stained with anti–human p110α and Golgin-97 antibodies. The fluorescence signals of endogenous p110α were mainly localized in three areas: the cytosol, Golgi apparatus, and nucleus (Fig. 2A). Assuming that nucleus-localized p110α is not able to participate in p110α-mediated signaling on the PM, we calculated the percentage of Golgi-localized p110α signal and cytosol-localized p110α signal, and the signals from both compartments add to 100%. The Golgi-localized p110α signal was obtained by direct measurement of the fluorescence signals delimited by Golgi marker Golgin-97 (and delimited by PAQR3 staining in the case of PAQR3 overexpression, as another Golgi marker could not be used due to limitation of secondary antibodies; in addition, PAQR3 itself is exclusively localized in the Golgi apparatus). The cytosol-localized p110α signals were obtained by subtracting the total fluorescence signals of a cell from the signals in the Golgi apparatus and the nucleus (delimited by Hoechst 33342 staining). The images presented in the figures were captured using standardized setting and exposure times. More than 100 cells were observed in three independent experiments, and at least 20 cells were randomly chosen and measured in each experiment group. For the assay using green fluorescent protein linked to the pleckstrin homology domain (GFP-PH) to analyze in vivo activation of PI3K, HepG2 cells were transfected with GFP-AKT2-PH together with a Myc-tagged PAQR3 or the pCS2+MT vector as control, followed by culture for 18 h and then stimulation with 100 nmol/L insulin for various times. The fluorescence intensity and the subcellular distribution of GFP-PH were quantified using LSM by Zeiss Confocal Microscopy Software. The integrated density of pixels was calculated for the whole cell and for the subregion of the PM compartment. The fluorescence signal in the PM compartment was calculated by subtracting the integrated density value of the subregion of PM from the value of the whole cell. The percentage of GFP-PH signal in PM was then divided by the integrated density value of the whole cell. Twenty cells were measured in each experimental group.
Fractionation of Golgi membranes from mouse liver.
Golgi membranes were purified as described previously (23,24). In brief, mouse livers were homogenized in 0.5 mol/L sucrose in PM buffer (potassium phosphate, with pH at 6.7, and 5 mmol/L MgCl2) with protease inhibitor cocktail (Thermo, Rockford, IL). The homogenate was layered on top of 0.86 mol/L sucrose, overlaid with 0.25 mol/L sucrose, and centrifuged for 60 min at 29,000 rpm in a rotor (SW-41; Beckman Coulter, Brea, CA). The 0.5 mol/L sucrose layer was collected (cytosol fraction). The interface between the 0.5 and 0.86 mol/L sucrose (intermediate fraction) was diluted to 0.25 mol/L sucrose and layered on top of 1.3 and 0.5 mol/L sucrose. After centrifugation for 30 min at 8,000 rpm in a rotor (SW-41), the enriched Golgi membranes were collected at the 0.5/1.3 mol/L sucrose interface. Equal amounts of protein of liver homogenate, cytosol, intermediate fraction, and Golgi membranes were used for immunoblotting.
Preparation of the cytosolic and membranous fractions.
The cytosolic and membranous fractions were separated by using a Cell Fraction Kit (Biovision, Milpitas, CA). In brief, HEK293T cells were homogenized on ice, the homogenate was centrifuged for 10 min at 700g at 4°C, and the supernatant was a cytosol-containing fraction. The pellet was resuspended in Membrane Extraction Buffer Mix (Biovision), followed by centrifuging for 5 min at 1,000g at 4°C, and the membrane protein was collected in the supernatant. Equal amounts of cytosol or membrane protein were used for immunoblotting in the PAQR3 overexpression experiment, and 1.5-fold more membrane proteins than the cytosolic proteins were used in the PAQR3 knockdown experiment.
Measurement of PI3K activity and phosphoinositide (3,4,5)-triphosphate level.
The primary hepatocytes from wild-type and Paqr3−/− mouse livers and HepG2 cells were treated with insulin (10 nmol/L for primary hepatocytes or 100 nmol/L for HepG2 cells) for various times, and then the cells were lysed for 20 min with 1 mL ice-cold lysis buffer (137 mmol/L NaCl, 20 mmol/L Tris-HCl at pH 7.4, 1 mmol/L MgCl2, 1 mmol/L CaCl2, 0.1 mmol/L sodium orthovanadate, 1% NP-40, and 1 mmol/L phenylmethylsulfonyl fluoride). The whole-cell lysate was incubated with antibodies against IRS-1 or phosphotyrosine overnight, followed by incubation with protein A/G-Sepharose for 2 h at 4°C, and washed with TNE buffer (10 mmol/L Tris-HCl at pH 7.4, 150 mmol/L NaCl, 5 mmol/L EDTA, and 0.1 mmol/L sodium orthovanadate). The PI3K activity was measured in immunoprecipitates with a PI3K ELISA kit (Echelon Biosciences, Salt Lake City, UT). Phosphoinositide (3,4,5)-triphosphate (PIP3) content in the cells was measured with a PIP3 ELISA kit, according to a protocol that was previously reported (25).
Immunohistochemistry for GLUT4.
Skeletal muscle was fixed in 4% paraformaldehyde/PBS, frozen in OCT (Optimal Cutting Temperature; SAKURA, Torrance, CA), sectioned, and immunostained. Samples were permeabilized and blocked with 1% BSA, 3% normal goat serum, and 0.1% Triton X-100 in PBS, followed by antibody incubation and mounting. For quantitation of cell surface localization of GLUT4, Zeiss Confocal Microscopy Software was used to quantify total fluorescent values of GLUT4 and the signals localized at the cell surface. The percentage of GLUT4 signal at cell surfaces was divided by the total GLUT4 signal. Sections from three individual mice were quantified for each sample.
Mice were anesthetized after 6 h of fasting. Skeletal muscle was dissected and rinsed in Krebs-Henseleit bicarbonate (KHB) buffer supplemented with 0.1% BSA and followed by incubation in PBS or 100 nmol/L insulin for 15 min at 30°C. The tissues were then treated with 1 mmol/L 2-deoxyglucose (2DG) for 20 min. All KHB buffers were pregassed with 95% O2-5% CO2. Glucose uptake was stopped by washing the tissues in ice-cold PBS. Subsequent to assays, muscle strips were solubilized in 10 mM Tris-HCl, pH 8.0, followed by detection of the amount of 2DG using a 2DG Uptake Measurement Kit (Cosmo, Tokyo, Japan).
Student t test was used for most of the statistical analysis. Mann-Whitney U test was used for the Western blot data in which n = 3. A two-sided test was performed with all the analyses.
PAQR3 tethers PI3K p110α subunit to the Golgi apparatus.
We first analyzed whether PAQR3 was able to tether the PI3K subunit to the Golgi apparatus. When p110α was overexpressed in HeLa cells, it was diffusely distributed in the cytosol (Fig. 1A). Intriguingly, when coexpressed with PAQR3, p110α was almost completely mobilized to the Golgi apparatus (Fig. 1A). On the other hand, overexpression of PAQR3 did not promote the Golgi localization of overexpressed p85α (Fig. 1A). In addition, overexpression of PAQR3 had no effect on the subcellular distribution of AKT and glycogen synthase kinase 3β (GSK3β) (Supplementary Fig. 1), two other major players involved in insulin signaling. Next, we used coimmunoprecipitation assays to determine whether PAQR3 can form a complex with p110α. When both PAQR3 and p110α were overexpressed, immunoprecipitation of p110α could pull down PAQR3 (Fig. 1B). Conversely, immunoprecipitation of PAQR3 could also pull down p110α (Fig. 1C). Furthermore, immunoprecipitation of endogenous PAQR3 with an anti-PAQR3 antibody could copurify endogenous p110α (Fig. 1D), further confirming an interaction between PAQR3 and p110α.
We next investigated the intracellular localization of endogenous p110α under the condition of PAQR3 knockdown (Fig. 2A). Previously, we identified a PAQR3 shRNA (no. 3–121) that has a high efficiency for knockdown of endogenous PAQR3 (Supplementary Fig. 2) (21). We found that knockdown by a specific PAQR3 shRNA could markedly reduce Golgi localization of endogenous p110α in comparison with a control shRNA (FG-12) (Fig. 2A). In FG-12–expressing cells, 27% of endogenous p110α was localized in the Golgi apparatus and 73% in the cytosol (Fig. 2B). However, the percentage Golgi localization of p110α was reduced to ∼12% by PAQR3 knockdown (Fig. 2B). Concomitantly, endogenous p110α in the cytosol compartment was elevated to 88% from 73% by PAQR3 knockdown (Fig. 2B). These data, therefore, further corroborate the functional role of PAQR3 in altering the subcellular distribution of p110α.
We also used a biochemical approach to purify Golgi complexes from mouse liver to assess the localization of endogenous p110α. In isolated liver from wild-type mice, p110α could be clearly detected in the Golgi fraction that coexisted with Golgi markers GM130 and Golgin-97 (Fig. 2C). However, ablation of PAQR3 led to marked reduction of Golgi compartmentalization of p110α in the liver (Fig. 2C), thus providing strong evidence that PAQR3 is implicated in Golgi localization of endogenous p110α protein.
Furthermore, we investigated the relative distribution of p110α in the cytosolic and membranous fractions. Silencing of PAQR3 expression caused a redistribution of p110α from the membranous fraction to the cytosol (Fig. 2D). Conversely, overexpression of PAQR3 reduced cytosolic distribution of p110α and increased membranous distribution of p110α (Fig. 2E). These data thus provide further evidence that PAQR3 can alter the subcellular compartmentalization of p110α.
PAQR3 is able to regulate PI3K activity.
On the basis of our observations, we propose a model to illustrate the spatial regulation of PI3K by PAQR3 (Fig. 3A). We predict that PAQR3 negates insulin signaling by sequestering intracellular PI3K to the Golgi apparatus via the interaction with the p110α subunit. We next tested this model by directly analyzing the effect of PAQR3 on PI3K activity using two strategies. First, we measured the amount of PIP3, a direct product of PI3K. In primary mouse hepatocytes, as expected, insulin increased the level of PIP3 (Fig. 3B), which was further enhanced by ablation of Paqr3 (Fig. 3B). Second, we analyzed PI3K activity using primary mouse hepatocytes. Insulin administration could rapidly stimulate PI3K activity, as assayed by immunoprecipitation of PI3K by antibodies against either IRS-1 or phosphorylated tyrosine (Fig. 3C and D). Deletion of Paqr3 not only increased the basal PI3K activity but also enhanced insulin-stimulated PI3K activity (Fig. 3C and D). Conversely, overexpression of PAQR3 in HepG2 cells could significantly inhibit insulin-stimulated PIP3 production (Fig. 3E) and PI3K activity (Fig. 3F), corroborating the observations in Paqr3-deleted hepatocytes.
We also used an in vivo marker to directly analyze PI3K activation within the cell. A GFP fusion protein linked to the PH domain of AKT2 can be recruited to the PM upon insulin stimulation (26,27). Similar to the previous report (26), insulin treatment was able to rapidly elevate translocation of GFP-PH protein to the PM in HepG2 hepatocytes (Fig. 4). Interestingly, overexpression of PAQR3 markedly abrogated insulin-induced translocation of GFP-PH protein to the PM (Fig. 4). These data indicate that PAQR3 is directly involved in the functional regulation of PI3K, thus providing further evidence to corroborate the proposed model in which PI3K is modulated by PAQR3 in a spatial manner (Fig. 3A).
PAQR3 modulates insulin signaling in vitro and in vivo.
We next analyzed the effect of PAQR3 on insulin signaling in hepatocytes. Insulin signaling is propagated by a series of protein phosphorylation events (28), initiated by insulin binding, activation, and phosphorylation of the insulin receptor (IR), and the subsequent phosphorylation of IRS, which functions as an adaptor for the p85/p110 PI3K complex. Activated PI3K generates PIP3, which recruits proteins, such as AKT, that contain specific lipid-binding domains (i.e., the PH domain). Activated AKT then phosphorylates a large array of proteins; one of the best characterized is GSK3. We analyzed the effect of PAQR3 on insulin-induced phosphorylation of four key proteins: IRβ (at Tyr1150/1151), IRS-1 (at Tyr608), AKT (at Ser473), and GSK3β (at Ser9). Insulin treatment induced rapid phosphorylation of IRβ, IRS-1, AKT, and GSK3β in hepatocytes (Fig. 5A and Supplementary Fig. 3), and the phosphorylation of AKT and GSK3β, but not IRβ and IRS-1, was markedly enhanced by Paqr3 deletion (Fig. 5A and Supplementary Fig. 3). In contrast, overexpression of PAQR3 in HepG2 cells inhibited insulin-induced phosphorylation of AKT and GSK3β, but not IRβ and IRS-1, in HepG2 hepatocytes (Fig. 5B and Supplementary Fig. 4).
To investigate the in vivo role of PAQR3 on insulin signaling, we analyzed insulin signaling in the liver and skeletal muscle, two major insulin-responsive tissues. We administered insulin to wild-type and Paqr3-deleted (Paqr3−/−) mice fed with normal chow. Paqr3−/− mice did not have any noticeable phenotype under normal resting conditions (17). As expected, insulin administration initiated rapid phosphorylation of IRβ, IRS-1, AKT, and GSK3β in mouse liver and skeletal muscle (Fig. 6A and B). Deletion of Paqr3 had no effect on insulin-induced phosphorylation of IRβ and IRS-1, whereas insulin-stimulated phosphorylation of AKT and GSK3β was apparently enhanced by Paqr3 ablation (Fig. 6A and B). The basal level of GSK3β phosphorylation was also elevated in the skeletal muscle of Paqr3−/− mice (Fig. 6B). Collectively, these data indicate that PAQR3 is able to modulate insulin signaling in vitro and in vivo. Furthermore, these findings demonstrate that PAQR3 exerts its effects on insulin signaling downstream of IRS but upstream of AKT, the place at which PI3K acts, consistent with our proposed model (Fig. 3A).
PAQR3 regulates insulin-induced glucose uptake in skeletal muscles.
To further investigate the potential function of PAQR3 on insulin action, we analyzed whether PAQR3 could alter glucose uptake in skeletal muscles, one of the major physiological functions of insulin. We analyzed the translocation of GLUT4 of skeletal muscles upon insulin stimulation. As expected, insulin treatment could induce translocation of a portion of endogenous GLUT4 to the cell surface (Fig. 7A). Intriguingly, the insulin-induced translocation of GLUT4 to the PM was profoundly elevated by Paqr3−/− ablation (Fig. 7A and B). In addition, insulin-stimulated glucose uptake to the skeletal muscle was also enhanced by Paqr3−/− deletion (Fig. 7C). Collectively, these data reveal that PAQR3 not only alters insulin signaling but also affects the physiological actions of insulin.
PAQR3 prevents p85 subunit from forming a complex with p110α.
We next analyzed the functional domains of PAQR3 and p110α that are involved in their interaction. Using a coimmunoprecipitation assay and various truncated versions of PAQR3 that we previously analyzed (17,18), we observed that the NH2-terminal 71 amino acid residues of PAQR3 (PAQR3-N71) were sufficient to mediate the interaction with p110α (Fig. 8A). Further deletion of the NH2 terminus of PAQR3 abrogated its interaction with p110α (Fig. 8A). In addition, PAQR3-N71 was able to inhibit insulin-stimulated AKT phosphorylation, similar to the effect of full-length PAQR3 (Supplementary Fig. 5), indicating that the NH2 terminus of PAQR3 is sufficient to mediate the inhibitory effect of PAQR3 on insulin signaling.
We next used PAQR3-N71 to map the domain of p110α implicated in its interaction with PAQR3. Intriguingly, the p85 binding domain of p110α was sufficient to mediate the interaction with PAQR3 (Fig. 8B). On the basis of this finding, we hypothesized that PAQR3 might negate PI3K activity by reducing complex formation between the p85 subunit and p110α. To test this hypothesis, we analyzed the effect of PAQR3 on the p110α-p85α interaction. When PAQR3 was overexpressed, it could dose-dependently reduce the interaction of p110α with p85α (Fig. 8C). These data, therefore, indicate that PAQR3 negatively modulates PI3K activity by preventing the p85 subunit from binding to p110α while sequestering p110α to the Golgi apparatus.
PAQR3 expression is altered in insulin-resistant conditions, and Paqr3 ablation increases insulin sensitivity.
We next investigated the expression level of PAQR3 in obese and insulin-resistant mice either induced by high-fat diet (HFD) or caused by genetic deletion of leptin (ob/ob mice). The mRNA level of PAQR3 was elevated in the livers of both HFD and ob/ob mice (Fig. 9A and B). In addition, the mRNA level of PAQR3 was increased in glucosamine-induced insulin-resistant hepatocytes (Fig. 9C). These data, therefore, indicate that the expression level of PAQR3 is associated with the development of insulin resistance.
We also analyzed whether PAQR3 is implicated in the modulation of insulin sensitivity in vivo. The body weight and glucose tolerance test of the mice (at 12 weeks of age) were not significantly altered by Paqr3 deletion (Fig. 9D and E). However, the insulin sensitivity, as determined by insulin tolerance test, was apparently elevated by Paqr3 deletion (Fig. 9F), thus providing additional in vivo evidence that PAQR3 is implicated in the modulation of insulin signaling.
Subcellular compartmentalization is now recognized as a means to fine-tune intracellular signal transduction. For example, Ras proteins are spatially and temporally trafficked within cells, depending on the extracellular stimuli and cellular context (29). Compartmentalized signaling controls the intensity of signaling output and modulates cell function by altering the distribution and/or sequestration of signaling molecules. Specifically, distinct subcellular partitioning of endogenous subunits of PI3K has been reported. The p110β subunit localizes to the nucleus, and such localization is required for p110β to implement its effect on cell survival (30); similarly, Golgi-localized p110δ is crucial for its regulation of tumor necrosis factor trafficking and secretion (31). In contrast, the subcellular compartmentalization of the p110α subunit has proved elusive despite its principal role within the PI3K family in mediating insulin signaling (10–12).
In this study, we report a previously unrecognized mode of spatial regulation of p110α by PAQR3, a transmembrane protein specifically localized in the Golgi apparatus (17). Through its interaction with p110α, PAQR3 sequesters p110α to the Golgi apparatus, thereby reducing insulin-induced, p110α-mediated signaling. Based on immunostaining, under basal conditions, endogenous p110α was mainly localized in three areas: the cytosol, Golgi apparatus, and nucleus (Fig. 2A). It is reasonable to assume that only the cytosol-localized p110α is available to participate in IR-mediated PI3K signaling on the PM. Hence, we evaluated the relative partitioning of p110α between the Golgi and cytosol as an indication of the potential contribution of PAQR3-mediated Golgi compartmentalization of p110α to p110α-mediated signaling. We found that the presence or absence of PAQR3 can clearly change the balance between cytosolic and Golgi-localized p110α. Knockdown of PAQR3 in HEK293T cells increased cytosolic p110α (Fig. 2A). Concomitantly, the Golgi-localized p110α was reduced by PAQR3 knockdown (Fig. 2A). Using the data in HEK293T cells as a calculation reference, complete deletion of Paqr3 would deplete all Golgi-localized p110α and result in a change of cytosolic p110α from 73 to 100%, leading to a 37% net increase in cytosolic p110α available for its signaling. Consistently, ablation of Paqr3 leads to an ∼20–50% increase in PIP3 production and PI3K activity (Fig. 3B–D), ∼30–50% increase in insulin signaling, as judged by insulin-stimulated phosphorylation of AKT and GSK3β (Figs. 5 and 6), and ∼30–40% elevation in insulin-stimulated GLUT4 translocation to the cell surface and glucose uptake (Fig. 7). Based on these data, we propose that PAQR3-mediated alteration in p110α compartmentalization may contribute to an ∼30–50% change in insulin-stimulated PI3K activity in the liver and skeletal muscle.
In highlighting the important contribution of PAQR3 to p110α-mediated signaling, this immunolocalization was complemented by our biochemical analysis using purified, isolated Golgi fractions, where Golgi localization of endogenous p110α was abrogated by Paqr3 ablation (Fig. 2C). Consistently, the relative distribution of p110α in the cytosolic and membranous fractions is altered by the expression level of PAQR3 (Fig. 2D and E). Most importantly, deletion of Paqr3 leads to an increase in insulin-stimulated PI3K activity and PIP3 production in hepatocytes (Fig. 3B–D). On the other hand, overexpression of PAQR3 reduces insulin-stimulated PI3K activity and PIP3 production (Fig. 3E and F). Collectively, these data provide compelling evidence that PAQR3 is able to regulate the compartmentalization and activity of p110α.
Experiments aimed at mapping the domains involved in the interaction between PAQR3 and p110α reveal that the p85 binding domain of p110α mediates the interaction of p110α with PAQR3 (Fig. 8B). Furthermore, overexpression of PAQR3 could dose-dependently reduce the interaction of p110α with p85 (Fig. 8C). These data, therefore, indicate that PAQR3 negatively modulates PI3K activity by preventing p85 from forming a complex with p110α while sequestering p110α to the Golgi apparatus. Based on these data, we propose that p110α-mediated insulin signaling is modulated by the intracellular availability of PAQR3. Cells with a high expression level of PAQR3 would sequester a greater proportion of p110α in the Golgi apparatus, thereby decreasing the cytosolic portion of p110α available to relay the signaling from the IR to downstream effectors, and leading to a reduction in insulin action. In agreement with this idea, our data indicate that the expression level of PAQR3 is correlated with the development of insulin resistance. The mRNA level of Paqr3 was elevated in the livers of both HFD and ob/ob mice as well as in glucosamine-induced insulin-resistant hepatocytes (Fig. 9A–C). Consistently, deletion of Paqr3 could increase insulin sensitivity in vivo (Fig. 9F). These findings, therefore, indicate that changes of PAQR3 expression may represent a new mechanism underlying the compromised PI3K activity under pathophysiological conditions. It has previously been demonstrated that IRS-associated PI3K activity is decreased significantly in ob/ob mouse liver (32) and that AKT activity is reduced in the liver and skeletal muscle in diabetic rats (33). It will be intriguing to determine in the future whether the comprised PI3K activity observed in these studies as well as in human diabetic patients is caused by alterations of PAQR3 expression. Considering the importance of PAQR3 in modulating PI3K activity, it will be crucial to identify the factors or conditions involved in regulating PAQR3 transcription and/or availability. Finally, modulating the expression of PAQR3 or its interaction with p110α may comprise a new strategy to control PI3K activity to combat insulin resistance.
This work was supported by research grants from the Ministry of Science and Technology of China (2012CB524900 to Y.C. and 2010CB529506 to Y.P. and Z.W.), the National Natural Science Foundation of China (30830037, 81021002, and 81130077 to Y.C. and 30971660 to Y.P.), and the Chinese Academy of Sciences (KSCX2-EW-R-08 to Y.C.).
No potential conflicts of interest relevant to this article were reported.
X.W. and L.W. conceived, designed, and performed the experiments; analyzed data; and wrote the manuscript. L.Z., F.X., and W.L. performed the experiments. Y.P., Z.W., F.G., Y.L., and W.G.T. contributed the reagents, material and analysis tools, and editorial assistance. Y.C. conceived and designed the experiments, analyzed data, and wrote the manuscript. Y.C. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
The authors thank Dr. Joachim Seemann (University of Texas Southwestern Medical Center, Dallas, TX) for providing the protocol for Golgi isolation of mouse liver.
This article contains Supplementary Data online at http://diabetes.diabetesjournals.org/lookup/suppl/doi:10.2337/db12-0244/-/DC1.
- Received February 27, 2012.
- Accepted August 1, 2012.
- © 2013 by the American Diabetes Association.
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