Abstract
Obesity is a major risk factor for the development of type II diabetes. Increases in adipose tissue mass trigger insulin resistance via the release of pro-inflammatory cytokines from adipocytes and macrophages. CREB and the CRTC coactivators have been found to promote insulin resistance in obesity, although the mechanism is unclear. Here we show that high fat diet feeding activates the CREB/CRTC pathway in adipocytes by decreasing the expression of SIK2, a Ser/Thr kinase that phosphorylates and inhibits CRTCs. SIK2 levels are regulated by the adipogenic factor C/EBPα, whose expression is reduced in obesity. Exposure to PPARγ agonist rescues C/EBPα expression and restores SIK2 levels. CRTC2/3 promote insulin resistance via induction of the chemokines CXCL1/2. Knockout of CRTC2/3 in adipocytes reduces CXCL1/2 expression and improves insulin sensitivity. As administration of CXCL1/2 reverses salutary effects of CRTC2/3 depletion, our results demonstrate the importance of the CREB/CRTC pathway in modulating adipose tissue function.
Subject terms: Obesity, Transcriptional regulatory elements
Yoon et al show that a high fat diet in mice activates the CREB/CRTC pathway in adipocytes by decreasing the expression of Salt Inducible Kinase 2 (SIK2), a Ser/Thr kinase that otherwise phosphorylates and sequesters CREB coactivators in the cytoplasm. Their data demonstrates the importance of the CREB/CRTC pathway in mediating effects of obesity on adipocyte function.
Introduction
Obesity is associated with inflammatory changes in white adipose tissue (WAT) that lead to systemic insulin resistance and type 2 diabetes1. Sustained low-grade inflammation in this setting impairs triglyceride and glucose metabolism. Following their migration to WAT depots in response to circulating cytokines and chemokines, neutrophils promote infiltration of macrophages2,3, which in turn release TNFα and other pro-inflammatory cytokines that enhance insulin resistance4–6, in part via the induction of NF-κB. Indeed, pro-inflammatory cytokines have also been found to disrupt catecholamine signaling in adipocytes by stimulating phosphodiesterase PDE3B activity and blocking PKA-induced lipolysis7.
The cAMP pathway promotes cellular gene expression via the PKA-mediated stimulatory phosphorylation of CREB8–10 and inhibitory phosphorylation of the salt inducible kinases (SIKs). SIKs are active under basal conditions, where they phosphorylate and sequester the cAMP Responsive Transcriptional Coactivators (CRTCs) in the cytoplasm through an association with 14-3-3 proteins11. SIK2 is the most highly expressed of the three SIK family members in adipose tissue; and its downregulation in adipocytes of obese individuals is thought to contribute to insulin resistance12,13. Supporting this notion, mice with a knockout of SIK2 are glucose intolerant and insulin resistant14.
Dephosphorylation of the CRTCs in response to cAMP stimulates their translocation to the nucleus, where they bind to CREB over relevant promoters. Although cAMP signaling is itself associated with reduced inflammation in adipose tissue15,16, the adipocyte CREB/CRTC pathway has paradoxically been found to enhance insulin resistance in obesity17–19. Indeed, the loss of cAMP/PKA signaling in obese adipose tissue20 would be expected to block CREB/CRTC activation.
Here we examine the mechanism by which HFD feeding stimulates CRTC2 and CRTC3 activities in adipose tissue, leading to the downstream induction of a subset of pro-inflammatory genes in conjunction with NF-κB. Our results demonstrate an unexpected link between CREB/CRTC and cytokine signaling pathways in modulating adipose tissue function.
Results
Disruption of cAMP/PKA signaling and adipogenic gene expression in obesity
We evaluated the effects of obesity on gene expression in WAT by feeding C57BL/6J mice a 60% HFD for 15 weeks (Fig. 1a, b). Body weight and fasting blood glucose levels were elevated in HFD-fed relative to NCD-fed mice (Supplementary Fig. 1a). Gene ontology analysis of RNA-seq data from epidydimal WAT (eWAT) mRNA, revealed upregulation of “inflammatory response” genes and downregulation of “glucose and lipid metabolism” genes in response to HFD (Fig. 1a). Metabolic genes with reduced expression under HFD conditions include the GLUT4 glucose transporter (SLC2A4), the Beta 3 Adrenergic receptor (ADRB3), salt inducible kinases (SIK2, SIK3) as well as CAAT/enhancer-binding protein alpha (C/EBPα). The expression of these HFD-downregulated genes is inversely correlated with insulin resistance and obesity in mice and humans12,21–24.
In keeping with the induction of pro-inflammatory genes in response to HFD1,25,26, NF-κB target genes such as c–c motif chemokine ligand 2 (CCL2; also referred to as MCP1), IFN responsive regulator of G protein signaling 1 (RGS1), and prostaglandin E2 receptor 3 (PTGER3; also referred to as EP3) were all upregulated in response to HFD feeding (Fig. 1b, c).
Adipose tissue contains a number of cell types, including immune and endothelial cells as well as pre-adipocytes and mature adipocytes. To identify specific subsets of cells that display similar profiles of metabolic and inflammatory gene expression as adipose tissue in response to HFD, we performed fluorescence-activated cell sorting (FACS) studies. Immune and endothelial cells from eWAT showed little change in either inflammatory or metabolic gene expression under HFD vs. NCD conditions; but pre-adipocytes and mature adipocytes showed profiles of both up- and downregulated genes that mimicked those of intact adipose tissue (Supplementary Fig. 1e, f).
HFD feeding has been found to block cAMP signaling in adipocytes through the IκB Kinase (IKK)-mediated phosphorylation and activation of the phosphodiesterase PDE3B7. In line with this observation, PKA activity was decreased in HFD adipose tissue of WT mice, by western blot assay of both eWAT and iWAT using phospho-PKA substrate antibody as well as antisera against PKA-phosphorylated Hormone Sensitive Lipase (HSL) and phospho-AMPK27 (Fig. 1d and Supplementary Fig. 1b, c).
In addition to its inhibitory effects on the cAMP pathway, HFD feeding reduced insulin signaling (P-AKT, pSer-IRS1), glucose transporter (GLUT4), and β-3 adrenergic receptor (ADRB3) protein amounts in HFD eWAT (Fig. 1d and Supplementary Fig. 1b). Moreover, mRNA and protein levels for the Ser/Thr kinase SIK2 are also downregulated in adipose tissue from HFD fed relative to NCD-fed mice (Fig. 1b–d and Supplementary Fig. 1c).
Effect of obesity on SIK2 expression in adipose tissue
The Ser/Thr kinase SIK2 is the most highly expressed of the three SIK family members in adipocytes, where it promotes triglyceride homeostasis and whole-body insulin sensitivity12,14,28–30. SIK activity is dependent on phosphorylation (at Thr175) by LKB1, a master kinase for AMPK family members. Triggering of the cAMP pathway blocks SIK2 activity via PKA-mediated phosphorylation31. Recognizing that SIK2 inhibits CREB/CRTC signaling, under basal conditions, by phosphorylating CRTCs at 14-3-3 binding sites11, we evaluated the phosphorylation status of these proteins in adipose tissue.
Consistent with the decrease in total as well as phospho (Thr175)-specific28 SIK2 protein amounts (Fig. 1d), CRTC2 and CRTC3 are dephosphorylated to a greater extent in eWAT as well as iWAT from HFD-fed compared to NCD-fed mice (Fig. 1d and Supplementary Fig. 1c). As a result, CRTC2/3 nuclear staining is increased in eWAT from HFD-fed mice, by immunohistochemical analysis (Fig. 1e and Supplementary Fig. 1d). These results indicate that the loss of SIK2 expression in obese WAT is sufficient to promote increases in nuclear CRTC2/3.
Obesity triggers the expression and release of the pro-inflammatory cytokine TNFα from adipocytes and resident macrophages in adipose tissue, where it interferes with insulin signaling and triglyceride metabolism4,32. We explored the potential role of this cytokine in modulating SIK2 expression. Exposure of primary adipocytes or 3T3-L1 adipocytes to TNFα (6 h) decreased mRNA amounts for both SIK2 and C/EBPα (Fig. 2a).
Within the SIK2 promoter, we noted consensus binding sites for C/EBPα and CREB. Overexpression of CRTC2/3 had only modest effects on SIK2 promoter activity in transient assays using a SIK2 luciferase reporter, but C/EBPα overexpression strongly upregulated this reporter in HIB1b cells (Fig. 2b). In keeping with the ability for C/EBPα to auto-regulate its own promoter, C/EBPα overexpression also potentiated the activity of a C/EBPα reporter construct (Fig. 2c); these effects were further enhanced by co-treatment with the PPARγ agonist Rosiglitazone (Rosi). By contrast, overexpression of p65, the trans-activating subunit of the NF-κB hetero-dimeric complex33, inhibited C/EBPα reporter activity in HIB1b cells (Fig. 2c).
In keeping with the effects of C/EBPα on SIK2 reporter activity, exposure of 3T3-L1 cells to differentiation medium increased endogenous C/EBPα protein amounts, followed by increases in SIK2 expression (Fig. 2d). Modest C/EBPα overexpression in HIB1b cells rescued TNFα-induced decreases in SIK2 expression. As a result, phosphorylation of endogenous CRTC2/3 increased in cells over-expressing C/EBPα (Fig. 2e).
PPARγ has been shown to promote adipogenesis by stimulating C/EBPα expression and to inhibit inflammation in WAT by suppressing NF-κB activity34,35. Exposure of 3T3-L1 cells to Rosi upregulated endogenous levels of C/EBPα, leading to increases in SIK2 protein amounts, and to the subsequent inhibitory phosphorylation of CRTC2 and CRTC3 (Fig. 2f). Consistent with a requirement for SIK2, exposure to SIK inhibitor HG9-91-01(HG) blocked the effects of Rosi on CRTC2/3 phosphorylation. Conversely, treatment with TNFα reduced SIK2 levels, triggering CRTC2/3 dephosphorylation and nuclear translocation as revealed in subcellular fractionation studies of 3T3-L1 adipocytes (Fig. 2g). Taken together, these results suggest that PPARγ and TNFα modulate the CREB/CRTC pathway in adipocytes by enhancing or inhibiting SIK2 expression.
Cooperative effects of CRTCs and NF-κB on CXCL1 expression
Having seen that HFD or TNFα treatment increases the nuclear accumulation of CRTC2/3 in adipocytes, we searched for downstream CREB target genes that contribute to the inflammatory and metabolic changes associated with obesity. Exposure of brown pre-adipocytes to Forskolin (FSK) stimulated the expression of 20 genes 8-fold or better (log FC ≥ 3); many of these contain CREB binding sites in their promoters (Supplementary Fig. 2 and Supplementary Table 1). Among these candidate targets, we noticed that the inflammatory chemokine (C-X-C motif) ligand 1 (CXCL1) gene was upregulated in response to FSK.
CXCL1 and its paralog CXCL2 have been shown to mediate neutrophil recruitment and activation to different tissues in response to infection. Mouse CXCL1 and CXCL2 (CXCL1/2) are well-established functional homologs of human CXCL8 (IL8), whose expression is also induced by NF-κB36–38 in obesity and insulin resistance39–44.
HFD feeding stimulated the expression and release of CXCL1/2 from adipose tissue into the circulation (Fig. 1c and Supplementary Fig. 3a), leading to increases in neutrophil migration and infiltration of eWAT (Fig. 3a). Consistent with this scenario, exposure of 3T3-L1 adipocytes or primary adipocytes to FSK also induces CXCL1 expression (Fig. 3b). Indeed, exposure of 3T3-L1 adipocytes to a more physiologic cAMP stimulus (β3 adrenergic receptor agonist; CL316,243) also augments CXCL1 expression, albeit more modestly than FSK (Supplementary Fig. 3b).
In keeping with the role of SIK2 in suppressing CRTC activity, exposure to SIK inhibitor HG upregulated CXCL1/2 expression comparably to FSK (Fig. 3c). SIK inhibition also increased the expression of other inflammatory genes (IL6) that have CREB and NF-κB binding sites on their promoters but not genes like MCP1, an NF-κB target lacking a CREB binding site.
Recognizing that the CXCL1 promoter contains two cAMP response elements (CREs) as well as an NF-κB binding site, we evaluated the extent to which these regulatory pathways modulate the expression of this gene. Exposure to either FSK or TNFα increased CXCL1 reporter activity 2–3 fold, while exposure to both FSK and TNFα increased reporter activity synergistically (10-fold) (Fig. 3d and Supplementary Fig. 3c). We also observed cooperativity between NF-κB and CREB/CRTC pathways on a human CXCL8 (IL8) reporter in transient assays of HEK293T cells (Supplementary Fig. 3d). Indeed, co-expression of CRTC2/3 and p65 potentiated effects of FSK and TNFα on IL8 reporter activity. These results indicate that NF-κB and CREB/CRTC pathways co-regulate the expression of CXCL1/2 and perhaps other genes in adipocytes.
TNFα and other cytokines stimulate pro-inflammatory gene expression in part through induction of the inhibitor of nuclear factor κB kinase (IKK), which phosphorylates IκBs and thereby promotes their degradation45,46. Exposure to IKK inhibitor (IKK16) blocked the induction of the CXCL1 and CXCL2 genes in response to TNFα. Remarkably, IKK16 also interfered with induction of the CXCL1 and CXCL2 genes by SIK inhibitor (HG), suggesting that IKK activity is necessary for the cooperativity between NFκB and CREB pathways (Supplementary Fig. 3e).
We wondered whether FSK and TNFα exert distinct or overlapping effects on p65 and CRTC2 recruitment to the CXCL1 promoter. In chromatin-immunoprecipitation sequencing (ChIP-seq) studies of differentiated 3T3-L1 adipocytes (Fig. 3e and Supplementary Fig. 4), CRTC2 occupancy over the CXCL1 promoter is low under basal conditions but increases following exposure (1 h) to FSK. In line with its ability to stimulate CRTC2/3 nuclear translocation, treatment with TNFα also promotes CRTC2 recruitment to the CXCL1 promoter (Fig. 3e). Moreover, exposure to both FSK and TNFα further enhances CRTC2 as well as p65 occupancy over their respective binding sites. CRTC2 occupancy extends through the CXCL1 gene body, suggesting that it may contribute to both the transcriptional initiation and productive elongation of RNA polymerase II complexes along this gene.
In addition to their effects on CXCL1, FSK and TNFα increased the occupancy of both CRTC2 and p65 at 367 co-bound loci (Fig. 3f). 70 of these loci have CRE(s) (TGACG), and 86 have NFκB motif(s) (GGAAWTTCCC), while 12 have both consensus CRE and NFκB binding sites. Some co-bound promoters (e.g., CCL2, CXCL5) lack consensus CREs, but they contain Jun/AP1 binding sites, which also appear capable of mediating recruitment of CRTCs to the promoter, potentially via an association with jun/fos family members47 (Supplementary Fig. 4a–c). Consistent with this notion, CCL2 and CXCL5 promoters lack consensus CREs, yet they are bound by CRTC2; and these genes are downregulated in dAKO adipocytes relative to wild-type adipocytes exposed to TNFα (Supplementary Fig. 4d).
Knockout of CRTC2/3 improves adipose function in obesity
Of the three CRTC family members, CRTC2 and CRTC3 are expressed at the highest levels in adipose tissue relative to CRTC1, which is preferentially expressed in the brain. To determine the role of CRTCs in adipose tissue, we crossed mice with floxed alleles of both CRTC2/3 with Adipoq-Cre transgenic mice expressing Cre recombinase under the control of the adipose-specific adiponectin promoter. CRTC2/3 expression in WAT is reduced by more than 70% in CRTC2/3 double knockout (dAKO) mice by qPCR and western blotting analysis (Fig. 4d and Supplementary Fig. 5a, b). Based on the proposed effects of CRTC2/3 on CXCL1/2 expression and insulin resistance, we evaluated whether depletion of CRTC2/3 in adipose tissue modulates the effects of HFD on insulin signaling and glucose metabolism.
Although they were indistinguishable from WT littermates under NCD conditions, dAKO mice gained less weight and had a lower fat mass in the context of HFD feeding, beginning after 4 weeks of HFD (Fig. 4a and Supplementary Fig. 5c). HFD-fed dAKO mice have lower fasting blood glucose levels; glucose and insulin tolerance is also improved in dAKO relative to WT (Fig. 4b, c and Supplementary Fig. 5d).
We performed indirect calorimetry studies to further characterize energy metabolism in dAKO mice (Supplementary Fig. 5e). Consistent with their lower body weight on HFD, dAKO mice have elevated oxygen consumption rate and energy expenditure relative to WT littermates. Despite these differences, physical activity and food intake appear comparable between CRTC2/3 mutant and WT littermates.
In keeping with the effects of CRTC2/3 on CREB target gene expression in adipose tissue, mRNA amounts for CXCL1 and CXCL2 in WAT are downregulated in dAKO mice relative to WT (Fig. 4d). Correspondingly, neutrophil numbers in adipose tissue from HFD-fed dAKO mice are 2-fold lower than in HFD-fed WT adipose tissue. mRNA amounts for neutrophil (CD11b) and M1 macrophage (F4/80) markers are decreased in dAKO WAT, suggesting that a reduction in CXCL1/2 mediated neutrophil recruitment also attenuates adipose tissue infiltration by other inflammatory cells.
In line with the improvements in adipose tissue inflammation, cAMP and insulin signaling pathways were more active in dAKO mice relative to wild-type (Supplementary Fig. 5f, g). Metabolic (ADRB3, GLUT4) gene expression was also increased in eWAT from dAKO mice relative to WT (Fig. 4d). c/EBPα protein amounts are elevated in dAKO eWAT, and SIK2 expression is correspondingly higher.
HFD feeding increases circulating levels of CXCL1 in WT mice, but CXCL1 expression remains low in HFD-fed dAKO mice (Fig. 4e). In line with the loss of CRTC2/3 expression, dAKO mice have lower numbers of HFD-inducible neutrophils (CD11b+; Ly6g+) and macrophages (F4/80+) in eWAT (Fig. 4f, g). Consistent with these metabolic improvements, dAKO adipocytes expressed and secreted lower levels of CXCL1/2 following exposure to FSK or TNFα compared to wild-type cells (Fig. 4h–k).
CXCL1/2 mediate effects of CRTC1/2 on HFD-induced inflammation
Based on the effects of HFD in promoting cytokine gene expression, we wondered whether CRTC2/3 depletion would attenuate the reactivity of WAT tissue to an inflammatory stimulus. Intra-peritoneal administration of low-dose lipopolysaccharide (LPS; 500 ng/kg, 3 h) stimulated the expression of inflammatory genes that are targets of both CRTC and NFκB (CXCL1, CXCL2, IL6) or NFκB alone (TNFα, IL1β, MCP1) in WT eWAT. Depletion of CRTC2/3 reduced expression of NFκB/ CRTC coregulated targets and to a lesser extent NFκB selective targets in dAKO eWAT (Supplementary Fig. 6). Collectively, these studies suggest that CRTC2/3 acts upstream of NFκB to promote the expression of cytokine genes in adipose tissue.
Having seen that CXCL1/2 expression is reduced in dAKO mice, we evaluated the extent to which these chemokines contribute to the effects of HFD on inflammation and lipid metabolism. Administration of CXCL1/2 neutralizing antiserum during the HFD feeding regimen reduces circulating concentrations of CXCL1/2 proteins to a similar extent in WT mice as those in dAKO mice (Supplementary Fig. 7a). Neutrophil and macrophage infiltration into adipose tissue is downregulated by immunohistochemical analysis of eWAT sections from immuno-neutralized mice; and glucose tolerance is correspondingly improved (Fig. 5a, b). Indeed, neutrophil and macrophage marker gene expression (CD11b, F4/80, MCP1) is also reduced in eWAT from anti-CXCL1/2 immuno-neutralized mice compared with control (Fig. 5c). In RNA-seq studies of eWAT, most of the gene clusters that are upregulated in HFD versus NCD feeding correspond to immune response and chemokine signaling (Supplementary Fig. 7d). mRNA amounts for these genes are decreased in both dAKO and anti-CXCL1/2 antiserum injected mice.
Consistent with this decrease in pro-inflammatory gene expression, insulin signaling, evaluated by relative pSer(473)AKT and pSer(307)IRS1 protein amounts, is enhanced while stress signaling (pThr(183)JNK) is attenuated in eWAT from CXCL1/2-neutralized mice (Fig. 5d). As a result, circulating triglyceride and free fatty acid concentrations are decreased in HFD-fed dAKO and CXCL1/2 immuno-neutralized mice relative to WT. Indeed, lipid accumulation in the liver is reduced in dAKO mice (Fig. 5e and Supplementary Fig. 7b, c). Collectively, these results indicate that the induction of CXCL1/2 by CRTC2/3 in adipose tissue during HFD feeding, contributes in part to the development of insulin resistance.
Effect of CXCL1 knockout on diet-induced insulin resistance
Based on the effects of CXCL1/2 immuno-neutralization on insulin signaling, we employed CXCL1 KO mice to evaluate whether this chemokine contributes to HFD-induced insulin resistance (Fig. 6). Under HFD conditions, CXCL1 KO mice had lower body weight and a tendency toward lower fat mass (P = 0.07, Fig. 6a). Glucose metabolism was improved in CXCL1 KO mice relative to WT littermates by intraperitoneal glucose (IPGTT) and insulin tolerance testing (ITT) (Fig. 6b and Supplementary Fig. 8a). Indeed, CXCL1 KO mice had lower circulating concentrations of triglyceride and free fatty acids relative to WT (Fig. 6c and Supplementary Fig. 8b, c). Consistent with an improvement in lipid metabolism, triglyceride stores in BAT and liver are reduced in HFD fed CXCL1 KO mice relative to WT (Fig. 6c).
Inflammatory gene expression (F4/80, TNFα, CD11b, IL1β) is also downregulated in CXCL1 KO adipose tissue, while metabolic gene expression (ADRB3, Glut4, AdipoQ) is elevated. These salutary effects are associated with increases in insulin signaling (p-AKT) and adipogenic (c/EBPα) gene expression (Fig. 6e). In keeping with the stimulatory effects of c/EBPα on the SIK2 gene, protein levels for SIK2 are also increased in eWAT from HFD-fed CXCL1 KO relative to WT mice. Collectively, these results demonstrate that CXCL1 contributes to the inflammatory and metabolic changes that accompany HFD feeding (Fig. 6d and Supplementary Fig. 8d).
Administration of CXCL1/2 restores insulin resistance in dAKO
We wondered whether CXCL1/2 expression is sufficient to promote glucose intolerance and insulin resistance. We tested this notion by evaluating the effects of recombinant CXCL1/2 proteins (rCXCL1/2) on adipose tissue. Intra-peritoneal injection of rCXCL1/2 reversed the salutary effects of CRTC2/3 depletion in WAT (Fig. 7a–c and Supplementary Fig. 9). Indeed, rCXCL1/2 administration blocked dAKO-dependent increases in insulin signaling (p-Akt) and stimulated increases in stress signaling (p-JNK) that lead to inhibitory phosphorylation of IRS1 (at Ser307) (Fig. 7d). Taken together, these results indicate that CXCL1/2 are important downstream components of the CREB/CRTC-mediated response to HFD feeding in WAT.
To address the potential role of CXCL1/2 in promoting the migration of innate immune cells, we performed in vitro chemotaxis assays using the macrophage/monocyte cell line Raw 264.7. Exposure to conditioned medium from unstimulated WT adipocytes promoted macrophage migration (Fig. 7c); these effects were further potentiated by exposure to conditioned medium from WT adipocytes treated with TNFα. dAKO adipocyte conditioned medium was far less effective in promoting macrophage migration, under basal conditions and following TNFα treatment. TNFα-inducible macrophage chemotaxis was partially blocked by the addition of CXCL1/2 neutralizing antiserum. Conversely, the addition of rCXCL1/2 increased macrophage migration even in conditioned medium from dAKO cells. Taken together, these results demonstrate that CXCL1/2 acts downstream of CREB/CRTC and NFκB pathways to promote insulin resistance in obesity.
Discussion
Obesity is a major risk factor for the development of insulin resistance and type II diabetes. High-fat diet feeding stimulates the release of cytokines from adipocytes, which in turn recruit innate immune cells that disrupt fat storage and block insulin signaling4. TNFα and other cytokines are thought to mediate the effects of HFD in promoting the expression of inflammatory genes and by inhibiting metabolic gene expression via the induction of NF-κB21,45. We found that the NF-κB pathway stimulates a subset of inflammatory genes cooperatively with CREB/CRTC. Although CREB and CRTCs are typically activated by cAMP, HFD feeding appears to induce this pathway in adipocytes by decreasing the expression of SIK2.
Indeed, SIK2 expression and function are inversely correlated with insulin resistance and obesity in humans12,29. While inhibition of SIK2 in macrophages appears to promote the release of anti-inflammatory cytokines48, adipocyte SIK2 has been found to regulate Glut4 expression and insulin signaling28. Correspondingly, SIK2−/− mice have lower glucose tolerance and reduced insulin sensitivity, due to increases in macrophage infiltration14. The extent to which CRTCs contribute to this phenotype is unclear, however.
Although it disrupts adipocyte cAMP signaling, HFD feeding paradoxically activates the CREB/CRTC pathway, in part via cytokine-mediated decreases in SIK2 expression that lead to CRTC dephosphorylation, nuclear entry, and association with CREB over relevant promoters. Restoring SIK2 expression in adipocytes, by overexpression of C/EBPα or by administration of PPARγ agonist, rescued the inhibitory phosphorylation of the CRTCs. Future studies should reveal the extent to which PPARγ may also modulate CREB/CRTC activity in other tissues.
Following their induction in response to HFD feeding, adipocyte CRTC2/3 stimulates the expression of CXCL1 and CXCL2 as well as other pro-inflammatory genes (IL6, LIF) in cooperation with NFκB. In turn, CXCL1/2 recruit neutrophils and macrophages to adipose tissue, where they promote insulin resistance (Fig. 7d). Loss of CXCL1/2 expression, by immune-depletion or by knockout (of CXCL1), restored insulin sensitivity and glucose tolerance. Indeed, these chemokines have also been shown to function importantly in human obesity and insulin resistance39,42,44 as well as in cancer metastasis49,50.
Although they are indistinguishable from wild-type littermates under NCD conditions, dAKO mice weigh less and have lower fat mass than wild-type littermates in response to HFD feeding. In this regard, CREB has been reported to promote the expression of the adipogenic program by stimulating the expression of the c/EBPβ gene51. c/EBPβ mRNA levels tend to be decreased in dAKO WAT but adipogenic gene expression appears to be relatively unaffected, likely reflecting compensation by the closely related family member c/EBPδ52. c/EBPα and PPARγ protein levels are elevated in dAKO relative to wild-type WAT. And late adipogenic markers (e.g., FABP4, LPL, PEPCK) are either equally expressed or upregulated in dAKO WAT. Further studies should reveal how crosstalk between adipogenic and inflammatory pathways contributes to the development of insulin resistance.
In addition to their effects on triglyceride storage in WAT, pro-inflammatory cytokines have been shown to interfere with thermogenesis in beige and brown fat53. We imagine that the loss of pro-inflammatory (CXCL1, CXCL2) gene expression in dAKO mice could therefore enhance the expression of thermogenic genes, either in beige adipocytes or in brown fat. Indeed, oxygen consumption and energy expenditure are elevated in dAKO mice. Moreover, CXCL1 KO mice have reduced body weight and tend to have lower fat mass compared to wild-type littermates (Fig. 6a). Thermogenesis may be more active in dAKO mice, although the modulatory effects of CRTC3 alone in brown fat appear to be largely developmental54.
Knockout of CRTC2/3 not only reduces CXCL1/2 expression but also blunts the effects of NFκB activation on pro-inflammatory genes. These results suggest that CRTCs may prime certain promoters for NFκB recruitment through epigenetic mechanisms. CRTC2/NFκB co-bound peaks appear to be particularly enriched in AP1 binding sites, which are typically recognized by Jun/Fos but not CREB family members. Supporting this idea, CRTC1 has been reported to associate with AP1 and to mediate induction of target gene expression47. Future studies should reveal the extent to which CRTCs modulate adipose tissue function through other nuclear factors in addition to CREB.
Materials and methods
Animals
All procedures involving the use of animals were performed in accordance with the guidelines presented by Salk Institute’s Animal Care and Use Committee. C57BL/6J mice were purchased from The Jackson Laboratory (strain #000664). CRTC2/3 double-floxed (dflox) mice were produced by crossing Crtc2-floxed mice55 with Crtc3-floxed mice54. Adipose-specific CRTC2/3 knockout (dAKO) mice were generated by crossing CRTC2/3 dflox mice with Adiponectin-Cre mice (Jackson Laboratory; strain # 010803). CXCL1 knockout mice, C57BL/6NCrl-Cxcl1em1(IMPC)Mbp/Mmucd, RRID: MMRRC_046310-UCD, were obtained from the Mutant Mouse Resource and Research Center (MMRRC) at the University of California at Davis, an NIH-funded strain repository, and were donated to the MMRRC by Kent Lloyd, D.V.M., University of California, Davis.
For High Fat Diet (HFD) feeding, 4–6-week-old mice were fed 60% HFD (Research Diet # D12492) for indicated periods with regular day/night cycles. For glucose tolerance testing (GTT), mice fed with a 60% high-fat diet were fasted overnight and injected with 1 g/kg of glucose/body weight. Blood glucose levels were monitored at indicated time points for 2 h. For insulin tolerance testing (ITT), mice were fasted for 4 h and injected with 1 U/kg of insulin/body weight. Blood glucose levels were determined at indicated time points. Body fat composition was analyzed by EcoMRI-100H.
Histology
Mouse tissues were fixed in zinc-buffered formalin (Anatech) and paraffin-embedded. Sections (5–10 mm) were used for hematoxylin and eosin (H&E) staining or immunohistochemistry. For immunohistochemical staining of epididymal WAT (eWAT), sections were rehydrated and antigen-retrieved in sodium citrate. The sections were incubated with F4/80 (Abcam) or Ly6G (Biolegend) antiserum and visualized by the avidin–biotin-complex method using the chromogen diaminobenzidine (Vector Labs). Stained slides were imaged by light-field microscopy (Nikon).
Indirect calorimetry
Mice fed with a 60% high-fat diet for 3 months were individually housed for at least 3 days before experiments. Food intake, locomotor activity, oxygen consumption, and energy expenditure were simultaneously measured for individually housed mice with a LabMaster system (TSE Systems). Data were collected for 2–3 days and analyzed.
Primary adipocyte and 3T3-L1 cells culture
Primary adipocytes were generated and maintained as previously reported54. Interscapular BAT and eWAT were collected, minced, and digested with isolation buffer for a proper time at 37 °C on a shaker. The isolation buffer contains 1.5 mg/ml Collagenase I (for eWAT) or 1 mg/ml Collagenase IV (for BAT). After digestion and filtration, stromal vascular fraction (SVF) cells were cultured in a growth medium for 3 days, and then fresh media was changed every 2 days. Upon confluence, cells were exposed to an induction medium for 2 days and then a differentiation medium. After differentiation, cells were considered primary adipocytes. The induction medium contains DMEM (Mediatech), 10% FBS (Gemini), 1 µg/ml insulin (HumulinR; Lilly), 0.3 μM dexamethasone (Sigma) and 0.63 mM 3-isobutyl-1-methylxanthine (IBMX) (Sigma), 1 µM Rosiglitazone (Adipogen), 10 nM T3 (Sigma). The differentiation medium contains DMEM, 10% FBS, 1 µg/ml insulin, and 10 nM T3. For 3T3-L1 differentiation, we employed the same procedure as for primary adipocytes. Subcellular fractionation for TNFα treated 3T3-L1 adipocytes was performed using a NE-PER Nuc-Cyt extraction kit according to the manufacturer’s protocol (Thermo Scientific).
Immunofluorescence staining
Immunofluorescence staining was performed as previously described54. eWAT from HFD (6 weeks) and age-matched NCD mice were fixed with ice-chilled 4% PFA for 3 h, stored overnight in 25% sucrose solution, and then embedded in OCT compound. After cutting at 15–30 micrometer using cryostat, slides were blocked for 1 h in blocking buffer containing PBS, 3% normal goat serum, 2% bovine serum albumin, and 0.2%Triton X-100. The sections were incubated with anti-CRTC3 antibody (Cell signaling technology) or anti-CRTC2 antibody (generated in our laboratory) or anti-F4/80 (Abcam) diluted in blocking buffer overnight at 4 °C. Slides were washed three times with PBS containing 0.2% Triton X-100, and then incubated with secondary antibodies and DAPI (Vector Laboratories) for 1 h at room temperature, mounted and images were taken under Zeiss750 confocal microscope.
Luciferase assay
Plasmid carrying a ~600 base pair fragment of CXCL1-proximal promoter in pGL3 luciferase vector was transfected into HIB1b brown pre-adipocytes, along with control, CRTC2, CRTC3, or NFκB p65 and RSV-β gal plasmids. Mouse SIK2 promoter (~910 bp) was cloned into pGL4 luciferase vector and mouse C/EBPα promoter (~1350 bp) was cloned in pXP2 luciferase vector; promoter assay was performed in HIB1B cells. Plasmid carrying a −345 base pairs of human-IL8 proximal promoter in pXP2 luciferase vector were transfected to 293T cells, along with control, CRTC2, CRTC3 or NFκB p65 and RSV-β gal plasmids. Samples were collected 48 h post-transfection and luciferase activity was measured by GloMax luminometer (Promega). Luciferase activity was normalized to β-gal activity. Forskolin (FSK), murine TNFα, human TNFα were purchased from Sigma, Novus Biologicals and MyBiosource, respectively.
Flow cytometry
The stromal vascular fraction of epididymal adipose tissues were isolated as described above. Cells were stained for 1 h and washed three times with HBSS containing 1% FBS. The macrophages (F4/80+CD11b+) and neutrophils (F4/80-Ly6g+CD11b+) were analyzed by FACS LSRII (BD Biosciences). The antibodies were purchased from Serotec (F4/80) and BD Biosciences (CD11b and Ly6g). For the collection of endothelial/immune cells, stained cells with CD31, CD45, Ter119 were collected by FACS Aria (BD Biosciences). The antibodies were obtained from eBioscience. The gating strategy is described in Supplementary Data.
Lentivirus production
Lenti-mouse c/EBPα was prepared by cloning c/EBPα cDNA into the pHRST vector. pHRST-control, pHRST-c/EBPα along with packaging plasmids were transfected in HEK293 cells. After 3 days of incubation, amplified virus particles were collected and concentrated.
RNA analysis
Total RNA was extracted from cells or tissue with TRIzol-based isolation Kits (Zymo Research) and 1 μg of RNA was converted to cDNA with Transcriptor first-strand cDNA synthesis kit according to the manufacturer’s protocol (Roche). Quantitative PCR (qPCR) was performed with SYBR green master mix (Roche) by Light cycler 480 II (Roche) and the relative mRNA expression was calculated by 2−ΔΔct method. L32 was used as a housekeeping gene for mRNA expression analysis. RNA-seq was performed as previously described54. RNA-Seq libraries were prepared following the manufacturer’s protocols using the NEB Next-poly(A) magnetic isolation kit to isolate mRNA followed by the NEBNext-Ultra2 kits from New England Biolabs. Libraries were quantitated by Qubit (Invitrogen), and run on a MiSeq instrument with paired-end 75 bp reads using v3 chemistry (Illumina). Data were analyzed by tophat2 and cuffdiff against the mouse mm10 genome build. GEO accession number for RNA-seq studies in Fig. 1a, b and Supplementary Fig. 7d is GSE160684. RNA-seq data for Supplementary Fig. 2a was taken from GEO accession number GSE10944354.
Primer sequences for qRT-PCR
L32: F-5′ TCT GGTGAAGCCCAAGATCG-3′, R-5′ CCTCTGGGTTTCCGCCAG TT-3′
CRTC2: F-5′ GTGGTTCTCTGCCCAATGTT-3′, R-5′ CAGACTCTGGGGGAGGAGAT-3′
CRTC3: F-5′ CAAGCCGATAATGTTCGTGGAAC-3′, R-5′ CTGTGAAGAATAACTGGCTGCG-3′
CRTC1: F-5′ TGCCCAACGTGAACCAGATT-3′, R-5′ GTCGCCCATGCTTGTCTACT-3′
CXCL1: F-5′ TGCACCCAAACCGAAGTCAT-3′, R-5′ ACTTGGGGACACCTTTTAGCA-3′
CXCL2: F-5′ TCA TAG CCA CTC TCA AGG GC-3′, R-5′ TCT TCC GTT GAG GGA CAG CA-3′
CXCL5: F-5′ CAGTGCCCTACGGTGGAAGT-3′, R-5′ GCGAGTGCATTCCGCTTAG-3′
SIK2: F-5′ TGTGGGGCTGCCAGTGACCT-3′, R-5′ AGGGGGCACAGGGTCAAGCA-3′
SIK3: F-5′GCAGGGTCCCTAGCCATTTT-3′, R-5′ CCACGTAAACAGGTCAGGCT-3′
c/EBPα: F-5′ TGGACAAGAACAGCAACGAG-3′, R-5′ TCACTGGTCAACTCCAGCAC-3′
ADRB3: F-5′ ACAGGAATGCCACTCCAATC-3′, R-5′ GGGGAAGGTAGAAGGAGACG-3′
Glut4: F-5′ GAT GGG GAA CCC CCT CGG CA-3′, R-5′ GGT CCC CCA GGA CCT TGC CT-3′
AdipoQ: F-5′ GGGCTCAGGATGCTACTGTT-3′, R-5′ ACCTGCACAAGTTCCCTTGG-3′
CD11b: F-5′ CCACACTAGCATCAAGGGCA-3′, R-5′ AAGAGCTTCACACTGCCACC-3′
F4/80: F-5′ GTGCCATCATTGCGGGATTC-3′, R-5′ GGAAGCCCATAGCCAAAGG-3′
IL6: F-5′ GGG ACT GAT GCT GGT GAC AA-3′, R-5′ TCC ACG ATT TCC CAG AGA ACA-3′
MCP1: F-5′ GTC CCT GTC ATG CTT CTG GG-3′, R-5′ GAG TAG CAG CAG GTG AGT GG-3′
c/EBPβ: F-5′ ACTTCAGCCCCTACCTGGAG-3′, R-5′ AGAGGTCGGAGAGGAAGTCG-3′
ATF3: F-5′ ACCGCCATTGTCCCCTGCCT-3′, R-5′ GGGGCCGCCTCAGACTTGGT-3′
JunB: F-5′ TCACGACGACTCTTACGCAG-3′, R-5′ GATAGGGATCCGCCAGGTTG-3′
PTGER3: F-5′ ATCCTCGTGTACCTGTCACAGCGA-3′, R-5′ TCAACCGACATCTGATTGAAGAT-3′
PTGER4: F-5′ TGT TCA TCT TCG GGG TGG TG-3′, R-5′ GCC ACT GGC CCT TCA TGT AT-3′
NR4A1: F-5′ GGA CAA GAG GCG GCG GAA CC-3′, R-5′ GGC CCG GAG TCC AAG TGT GC-3′
N-Elastase: F-5′ CGGCCTAAATTTCCGGTCAG-3′, R-5′ ACGTTGGCGTTAATGGTAGC-3′
TNFα: F-5′ AGG CAC TCC CCC AAA AGA TG-3′, R-5′ TGA GGG TCT GGG CCA TAG AA-3′
IL1β: F-5′ AAATGCCTC GTGCTGTCTGAC C-3′, R-5′ CTGCTTGAGAGG TGCTGATGTACC-3′
RelA: F-5′ GCGGAGCTTGTAGTCGGG-3′, R-5′ AGGGGAAACAGATCTGAAAGGG-3′
NFκB2: F-5′ CTGGTGGACACATACAGGAAGAC-3′, R-5′ ATAGGCACTGTCTTCTTTCACCTC-3′
Chil3: F-5′ ACTGGAAGGACCATGGAGCA-3′, R-5′ TAGGGGCACCAATTCCAGTC-3′
CD163: F-5′ TGCTGTCACTAACGCTCCTG-3′, R-5′ TCATTCATGCTCCAGCCGTT-3′
Western blotting
Proteins were resolved on SDS-PAGE (Bio-Rad), transferred onto nitrocellulose membranes (Amersham), and probed with specific antibodies from Cell Signaling Technologies (CRTC3, pPKA substrate, c/EBPα, SIK2, HDAC4, Glut4, p-HSL S563, p-Akt S473, p-p38 T180/Y182, p-p65 S536, Ac-p65 K310, p-JNK T183/Y185, p-AMPK T172) Santa Cruz Biotechnology (c/EBPα, ATF3, JunB, HSP90), Millipore (SIK2, α-tubulin), LS Bio (ADRB3), Boster Bio (CD11b), Invitrogen (p-SIK2 Thr175, p-IRS1 S307), ABclonal (PTGER3) and homemade (CRTC2, CRTC3, p-CRTC2 S171, p-CRTC2/3 S275/273). For resolving CRTC3 phosphorylation, SDS-PAGE was performed using phos-tag according to the manufacture’s protocol (NARD Institute). Western blot densitometry was performed using Image J software.
Chromatin-immunoprecipitation (ChIP)-sequencing
Chromatin-immunoprecipitation (ChIP) was performed as described previously56. ChIP-seq experiments for CRTC2 (homemade), NFκB p65 (Cell Signaling Technologies), and Histone H3AcK27 (H3KAcK27, Abcam) were conducted using 4-day differentiated 3T3-L1 adipocytes following 1 h of FSK, TNFα, and combined treatment. GEO accession number for ChIP-seq studies in Fig. 3e and Supplementary Fig. 4a–c is GSE160597.
Neutralization and administration of CXCL1 and 2
For neutralization of CXCL1 and 2, 10 µg/mouse of anti-CXCL1 (KC), CXCL2 (MIP2), and control IgG antibody were introduced by retro-orbital injection. All antibodies were purchased from R&D systems. For recombinant protein administration, mice were injected 1 µg/mouse of recombinant murine CXCL1 and CXCL2 (Peprotech) or Saline intraperitoneally. IPGTT assay was conducted 1 week after each injection.
LPS injection study
Low dose (500 ng/kg; Sigma-Aldrich) of LPS or an equal volume of saline was administered by intra-peritoneal injection. After 3 h of incubation, tissues were collected and snap-frozen in liquid nitrogen.
Chemotaxis assay
Chemotaxis assay was performed with a slight modification of invasion assay57,58. Transwell inserts containing polycarbonate membrane (5 µm pore size; Corning costar) were preincubated in regular medium (DMEM supplemented with 10% FBS and 1% penicillin/streptomycin) for 30 min. Seeded LPS-primed (5 ng/ml, overnight) Raw264.7 murine monocyte cells (1 × 105 cells in 500 µl serum-free medium) in the transwell insert and filled outside of insert with conditioned medium from WT and dAKO adipocytes following overnight treatment with saline, 10 ng/ml TNFα, TNFα + α-CXCL1/2 antisera (0.5 µg/ml) and rCXCL1/2 (0.1 µg/ml). After overnight incubation, aspirated medium and removed non-migrated cells in the upper membrane of an insert with a cotton swab. Then, washed insert and fixed in 4% formaldehyde for 10 min and stained with 0.1% crystal violet for 30 min. Following three washes with PBS and dry membrane, filters were photographed and dye was eluted in 50% ethanol plus 1% acetic acid and quantitated by measuring absorbance at 600 nm (GloMax multi detection system; Promega Inc).
ELISA
Levels of CXCL1 and CXCL2 in serum and conditioned media were measured by the ELISA kit according to the manufacturer’s protocol (R&D Systems). Circulating and hepatic triglyceride and free fatty acids were analyzed by Elisa kit according to the manufacture’s protocol (BioVision).
Statistics and reproducibility
The data were analyzed using Microsoft Excel and Graphpad PRISM8. The data are presented with mean ± SEM or mean ± SD. P-values were calculated using unpaired two-tailed student’s t-test and one-way ANOVA with post-hoc Tukey HSD test. Statistical significance was indicated as **P < 0.01 and *P < 0.05. A P-value of <0.05 was considered statistically significant.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
We thank Klaus H. Kaestner and John Le Lay (U. Penn.) for sharing conditional CRTC2 knockout mice. This work was supported by NIH grant R01 DK083834, the Leona M. and Harry B. Helmsley Charitable Trust, the Clayton Foundation for Medical Research, and the Kieckhefer Foundation.
Author contributions
Y.-S.Y., W.L., and M.M. conceived and designed the study. Y.-S.Y., W.L., S.V.d.V., S.M., and E.W. performed experiments. Y.-S.Y., W.L., S.V.d.V., E.W., L.H., and M.M. analyzed data. Y.-S.Y. wrote the manuscript. M.M. reviewed and edited the manuscript.
Data availability
The raw data for the main figure are available in Supplementary Data (graphs; Figs. 1–7) and Supplementary Fig. 10 (Uncropped Immunoblots; Figs. 1, 2, 5, 6, 7). GEO accession number for RNA-seq studies in Fig. 1a, b and Supplementary Fig. 7d is GSE160684. RNA-seq data for Supplementary Fig. 2a was taken from GEO accession number GSE10944354. GEO accession number for ChIP-seq studies in Fig. 3e and Supplementary Fig. 4a–c is GSE160597. Additional details can be obtained from the corresponding author on reasonable request.
Competing interests
The authors declare no competing interests.
Footnotes
Peer review information Communications Biology thanks the anonymous reviewers for their contribution to the peer review of this work. Primary Handling Editors: Loredana Quadro and Karli Montague-Cardoso.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
The online version contains supplementary material available at 10.1038/s42003-021-02735-5.
References
- 1.Gregor MF, Hotamisligil GS. Inflammatory mechanisms in obesity. Annu. Rev. Immunol. 2011;29:415–445. doi: 10.1146/annurev-immunol-031210-101322. [DOI] [PubMed] [Google Scholar]
- 2.Lee BC, Lee J. Cellular and molecular players in adipose tissue inflammation in the development of obesity-induced insulin resistance. Biochim. Biophys. Acta. 2014;1842:446–462. doi: 10.1016/j.bbadis.2013.05.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Mantovani A, Cassatella MA, Costantini C, Jaillon S. Neutrophils in the activation and regulation of innate and adaptive immunity. Nat. Rev. Immunol. 2011;11:519–531. doi: 10.1038/nri3024. [DOI] [PubMed] [Google Scholar]
- 4.Hotamisligil GS, Shargill NS, Spiegelman BM. Adipose expression of tumor necrosis factor-α: Direct role in obesity-linked insulin resistance. Science. 1993;259:87–91. doi: 10.1126/science.7678183. [DOI] [PubMed] [Google Scholar]
- 5.Talukdar S, et al. Neutrophils mediate insulin resistance in mice fed a high-fat diet through secreted elastase. Nat. Med. 2012;18:1407–1412. doi: 10.1038/nm.2885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hotamisligil GS. Foundations of immunometabolism and implications for metabolic health and disease. Immunity. 2017;47:406–420. doi: 10.1016/j.immuni.2017.08.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Mowers J, et al. Inflammation produces catecholamine resistance in obesity via activation of PDE3B by the protein kinases IKKε and TBK1. Elife. 2013;2013:1–18. doi: 10.7554/eLife.01119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Mayr B, Montminy M. Transcriptional regulation by the phosphorylation-dependent factor creb. Nat. Rev. Mol. Cell Biol. 2001;2:599–609. doi: 10.1038/35085068. [DOI] [PubMed] [Google Scholar]
- 9.Thonberg H, Fredriksson JM, Nedergaard J, Cannon B. A novel pathway for adrenergic stimulation of cAMP-response-element-binding protein (CREB) phosphorylation: Mediation via α1-adrenoceptors and protein kinase C activation. Biochem. J. 2002;364:73–79. doi: 10.1042/bj3640073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Cannon B, Nedergaard J. Brown adipose tissue: function and physiological significance. Physiol. Rev. 2004;84:277–359. doi: 10.1152/physrev.00015.2003. [DOI] [PubMed] [Google Scholar]
- 11.Altarejos JY, Montminy M. CREB and the CRTC co-activators: sensors for hormonal and metabolic signals. Nat. Rev. Mol. Cell Biol. 2011;12:141–151. doi: 10.1038/nrm3072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Säll J, et al. Salt-inducible kinase 2 and -3 are downregulated in adipose tissue from obese or insulin-resistant individuals: implications for insulin signalling and glucose uptake in human adipocytes. Diabetologia. 2017;60:314–323. doi: 10.1007/s00125-016-4141-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lee YH, et al. Microarray profiling of isolated abdominal subcutaneous adipocytes from obese vs non-obese Pima Indians: increased expression of inflammation-related genes. Diabetologia. 2005;48:1776–1783. doi: 10.1007/s00125-005-1867-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Park J, et al. SIK2 is critical in the regulation of lipid homeostasis and adipogenesis in vivo. Diabetes. 2014;63:3659–3673. doi: 10.2337/db13-1423. [DOI] [PubMed] [Google Scholar]
- 15.Aronoff DM, Canetti C, Serezani CH, Luo M, Peters-Golden M. Cutting edge: macrophage inhibition by cyclic AMP (cAMP): differential roles of protein kinase a and exchange protein directly activated by cAMP-1. J. Immunol. 2005;174:595–599. doi: 10.4049/jimmunol.174.2.595. [DOI] [PubMed] [Google Scholar]
- 16.Raker VK, Becker C, Steinbrink K. The cAMP pathway as therapeutic target in autoimmune and inflammatory diseases. Front. Immunol. 2016;7:1–11. doi: 10.3389/fimmu.2016.00123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Qi L, et al. Adipocyte CREB promotes insulin resistance in obesity. Cell Metab. 2010;9:277–286. doi: 10.1016/j.cmet.2009.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Song Y, et al. CRTC3 links catecholamine signalling to energy balance. Nature. 2010;468:933–939. doi: 10.1038/nature09564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Luan B, et al. Leptin-mediated increases in catecholamine signaling reduce adipose tissue inflammation via activation of macrophage HDAC4. Cell Metab. 2014;19:1058–1065. doi: 10.1016/j.cmet.2014.03.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Mantovani G, et al. Protein kinase A regulatory subunits in human adipose tissue: Decreased R2B expression and activity in adipocytes from obese subjects. Diabetes. 2009;58:620–626. doi: 10.2337/db08-0585. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ruan H, Hacohen N, Golub TR, Van Parijs L, Lodish HF. Tumor necrosis factor-α suppresses adipocyte-specific genes and activates expression of preadipocyte genes in 3T3-L1 adipocytes: Nuclear factor-κB activation by TNF-α is obligatory. Diabetes. 2002;51:1319–1336. doi: 10.2337/diabetes.51.5.1319. [DOI] [PubMed] [Google Scholar]
- 22.Atkinson BJ, Griesel BA, King CD, Josey MA, Olson AL. Moderate glut4 overexpression improves insulin sensitivity and fasting triglyceridemia in high-fat diet-fed transgenic mice. Diabetes. 2013;62:2249–2258. doi: 10.2337/db12-1146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Matulewicz N, Stefanowicz M, Nikołajuk A, Karczewska-Kupczewska M. Markers of adipogenesis, but not inflammation, in adipose tissue are independently related to insulin sensitivity. J. Clin. Endocrinol. Metab. 2017;102:3040–3049. doi: 10.1210/jc.2017-00597. [DOI] [PubMed] [Google Scholar]
- 24.Bracale R, et al. Metabolic syndrome and ADRB3 gene polymorphism in severely obese patients from South Italy. Eur. J. Clin. Nutr. 2007;61:1213–1219. doi: 10.1038/sj.ejcn.1602640. [DOI] [PubMed] [Google Scholar]
- 25.Duan Y, et al. Inflammatory links between high fat diets and diseases. Front. Immunol. 2018;9:1–10. doi: 10.3389/fimmu.2018.02649. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Xu H, et al. Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance. J. Clin. Invest. 2003;112:1821–1830. doi: 10.1172/JCI200319451. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Kari, S., Vasko, V. V., Priya, S. & Kirschner, L. S. PKA activates AMPK through LKB1 signaling in follicular thyroid cancer. Front. Endocrinol.10, 769 (2019). [DOI] [PMC free article] [PubMed]
- 28.Henriksson E, et al. SIK2 regulates CRTCs, HDAC4 and glucose uptake in adipocytes. J. Cell Sci. 2015;128:472–486. doi: 10.1242/jcs.153932. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Säll J, et al. Insulin induces Thr484 phosphorylation and stabilization of SIK2 in adipocytes. Cell. Signal. 2019;55:73–80. doi: 10.1016/j.cellsig.2018.12.011. [DOI] [PubMed] [Google Scholar]
- 30.Du J, Chen Q, Takemori H, Xu H. SIK2 can be activated by deprivation of nutrition and it inhibits expression of lipogenic genes in adipocytes. Obesity. 2008;16:531–538. doi: 10.1038/oby.2007.98. [DOI] [PubMed] [Google Scholar]
- 31.Sakamoto K, Bultot L, Göransson O. The salt-inducible kinases: emerging metabolic regulators. Trends Endocrinol. Metab. 2018;29:827–840. doi: 10.1016/j.tem.2018.09.007. [DOI] [PubMed] [Google Scholar]
- 32.Cawthorn, W. P. & Sethi, J. K. TNF-α and adipocyte biology ver 1ero.pdf. FEBS Lett.582, 117–131 (2015). [DOI] [PMC free article] [PubMed]
- 33.Taniguchi K, Karin M. NF-kB, inflammation, immunity and cancer: coming of age. Nat. Rev. Immunol. 2018;18:309–324. doi: 10.1038/nri.2017.142. [DOI] [PubMed] [Google Scholar]
- 34.Hou Y, Moreau F, Chadee K. PPARγ is an E3 ligase that induces the degradation of NFκB/p65. Nat. Commun. 2012;3:1–11. doi: 10.1038/ncomms2270. [DOI] [PubMed] [Google Scholar]
- 35.Chen F, et al. Phosphorylation of PPARγ via Active ERK1/2 Leads to its Physical Association with p65 and Inhibition of NF-κβ. J. Cell. Biochem. 2003;90:732–744. doi: 10.1002/jcb.10668. [DOI] [PubMed] [Google Scholar]
- 36.Roebuck KA. Regulation of Interleukin-8. Gene Expr. J. Interf. Cytokine Res. 1999;19:429–438. doi: 10.1089/107999099313866. [DOI] [PubMed] [Google Scholar]
- 37.Tourniaire F, et al. Chemokine expression in inflamed adipose tissue is mainly mediated by NF-κB. PLoS ONE. 2013;8:1–9. doi: 10.1371/journal.pone.0066515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Burke, S. J. et al. NF-κB and STAT1 control CXCL1 and CXCL2 gene transcription. Am. J. Physiol.306, E131–E149 (2014). [DOI] [PMC free article] [PubMed]
- 39.Shah R, et al. Gene profiling of human adipose tissue during evoked inflammation in vivo. Diabetes. 2009;58:2211–2219. doi: 10.2337/db09-0256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Kobashi C, et al. Inhibitory effect of IL-8 on insulin action in human adipocytes via MAP kinase pathway. J. Inflamm. 2009;6:1–6. doi: 10.1186/1476-9255-6-25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Straczkowski M, et al. Plasma interleukin-8 concentrations are increased in obese subjects and related to fat mass and tumor necrosis factor-α system. J. Clin. Endocrinol. Metab. 2002;87:4602–4606. doi: 10.1210/jc.2002-020135. [DOI] [PubMed] [Google Scholar]
- 42.Rouault C, et al. Roles of chemokine ligand-2 (CXCL2) and neutrophils in influencing endothelial cell function and inflammation of human adipose tissue. Endocrinology. 2013;154:1069–1079. doi: 10.1210/en.2012-1415. [DOI] [PubMed] [Google Scholar]
- 43.Chai HH, et al. The chemokine CXCL1 and its receptor CXCR2 contribute to chronic stress-induced depression in mice. FASEB J. 2019;33:1–12. doi: 10.1096/fj.201802359RR. [DOI] [PubMed] [Google Scholar]
- 44.Nunemaker, C. S., Chung, H. G., Verrilli, G. M., Corbin, K. L., Upadhye, A., and Sharma, P. R. Increased serum CXCL1 and CXCL5 are linked to obesity, hyperglycemia, and impaired islet function. J. Endocrinol. 2014;222:267–276. doi: 10.1530/JOE-14-0126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Karin, M. How NF- k B is activated: the role of the I k B kinase (IKK) complex. Oncogene18, 6867–6874 (1999). [DOI] [PubMed]
- 46.Liu, T., Zhang, L., Joo, D. & Sun, S. C. NF-κB signaling in inflammation. Signal Transduct. Target. Ther. 2, 17023 (2017). [DOI] [PMC free article] [PubMed]
- 47.Canettieri G, et al. The coactivator CRTC1 promotes cell proliferation and transformation via AP-1. Proc. Natl Acad. Sci. USA. 2009;106:1445–1450. doi: 10.1073/pnas.0808749106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Darling NJ, Toth R, Arthur JSC, Clark K. Inhibition of SIK2 and SIK3 during differentiation enhances the anti-inflammatory phenotype of macrophages. Biochem. J. 2017;474:521–537. doi: 10.1042/BCJ20160646. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Kuo PL, Shen KH, Hung SH, Hsu YL. CXCL1/GROα increases cell migration and invasion of prostate cancer by decreasing fibulin-1 expression through NF-κB/HDAC1 epigenetic regulation. Carcinogenesis. 2012;33:2477–2487. doi: 10.1093/carcin/bgs299. [DOI] [PubMed] [Google Scholar]
- 50.Wang D, Sun H, Wei J, Cen B, DuBois RN. CXCL1 is critical for premetastatic niche formation and metastasis in colorectal cancer. Cancer Res. 2017;77:3655–3665. doi: 10.1158/0008-5472.CAN-16-3199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Reusch JEB, Colton LA, Klemm DJ. CREB Activation Induces Adipogenesis in 3T3-L1 Cells. Mol. Cell. Biol. 2000;20:1008–1020. doi: 10.1128/MCB.20.3.1008-1020.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Tanaka T, Yoshida N, Kishimoto T, Akira S. Defective adipocyte differentiation in mice lacking the C/EBPβ and/or C/EBPδ gene. EMBO J. 1997;16:7432–7443. doi: 10.1093/emboj/16.24.7432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Omran F, Christian M. Inflammatory signaling and brown fat activity. Front. Endocrinol. 2020;11:1–16. doi: 10.3389/fendo.2020.00156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Yoon YS, et al. cAMP-inducible coactivator CRTC3 attenuates brown adipose tissue thermogenesis. Proc. Natl Acad. Sci. USA. 2018;115:E5289–E5297. doi: 10.1073/pnas.1805257115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Blanchet E, et al. Feedback inhibition of CREB signaling promotes beta cell dysfunction in insulin resistance. Cell Rep. 2015;10:1149–1157. doi: 10.1016/j.celrep.2015.01.046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Van de Velde, S., Wiater, E., Tran, M., Hwang, Y., Cole, P. A. & Montminy, M. CREB promotes beta cell gene expression by targeting its coactivators to tissue-specific enhancers. Mol. Cell. Biol. 39, e00200-19 (2019). [DOI] [PMC free article] [PubMed]
- 57.Sherry B, Yarlett N, Strupp A, Cerami A. Identification of cyclophilin as a proinflammatory secretory product of lipopolysaccharide-activated macrophages. Proc. Natl Acad. Sci. USA. 1992;89:3511–3515. doi: 10.1073/pnas.89.8.3511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Marigo I, et al. Disabled homolog 2 controls prometastatic activity of tumor-associated macrophages. Cancer Discov. 2020;10:1758–1773. doi: 10.1158/2159-8290.CD-20-0036. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The raw data for the main figure are available in Supplementary Data (graphs; Figs. 1–7) and Supplementary Fig. 10 (Uncropped Immunoblots; Figs. 1, 2, 5, 6, 7). GEO accession number for RNA-seq studies in Fig. 1a, b and Supplementary Fig. 7d is GSE160684. RNA-seq data for Supplementary Fig. 2a was taken from GEO accession number GSE10944354. GEO accession number for ChIP-seq studies in Fig. 3e and Supplementary Fig. 4a–c is GSE160597. Additional details can be obtained from the corresponding author on reasonable request.