Abstract
Oxidative functions of adipose tissue macrophages control the polarization of M1-like and M2-like phenotypes, but whether reduced macrophage oxidative function causes systemic insulin resistance in vivo is not clear. Here, we show that mice with reduced mitochondrial oxidative phosphorylation (OxPhos) due to myeloid-specific deletion of CR6-interacting factor 1 (Crif1), an essential mitoribosomal factor involved in biogenesis of OxPhos subunits, have M1-like polarization of macrophages and systemic insulin resistance with adipose inflammation. Macrophage GDF15 expression is reduced in mice with impaired oxidative function, but induced upon stimulation with rosiglitazone and IL-4. GDF15 upregulates the oxidative function of macrophages, leading to M2-like polarization, and reverses insulin resistance in ob/ob mice and HFD-fed mice with myeloid-specific deletion of Crif1. Thus, reduced macrophage oxidative function controls systemic insulin resistance and adipose inflammation, which can be reversed with GDF15 and leads to improved oxidative function of macrophages.
M1-like polarization of macrophages is thought to control adipose inflammation and associated insulin resistance and metabolic syndrome. Here the authors show that macrophage-specific deletion of the OxPhos-related gene Crif1 results in an M1-like phenotype in mice, and that the effects can be reversed by recombinant GDF15.
Introduction
Adipose tissue macrophages (ATM) are abundant immune cells in human and murine adipose tissue1,2. The discovery of ATMs, and their elevated numbers in the adipose tissues of obese mice and humans, indicates mechanisms by which obesity induces adipose inflammation and systemic insulin resistance1,3,4. ATMs, which have substantial functional heterogeneity, actively participate in various aspects of nutrient metabolism within adipose tissue4. The function of macrophages in shifting adipose tissue inflammation toward a pathological state has attracted increasing attention. Alternatively activated (M2-like) macrophages, which typically express the mannose receptor CD206 and secrete anti-inflammatory cytokines, are located mainly in lean adipose tissue5,6. However, adipose tissues from obese individuals contain elevated numbers of classically activated (M1-like) macrophages, which produce proinflammatory mediators such as tumor necrosis factor α (TNF), monocyte chemoattractant protein-1 (MCP-1), and interleukin-1α (IL-1α)7–9. In this context, the signal transducer and activator of transcription 6 (STAT6) transcription factor, which is activated upon stimulation by type 2 cytokines such as IL-4 and IL-13, promotes maturation into alternatively activated macrophages10. Moreover, STAT6 and its associated transcription factors, including the peroxisome proliferator-activated receptor-γ (PPARγ), PPARδ, and peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α), have critical functions in M2-like macrophages by increasing oxidative metabolism and mitochondrial biogenesis11–13. Oxidative metabolism in M2 macrophages has been directly linked to an anti-inflammatory phenotype14. Inhibition of fatty acid oxidation (FAO) in M2 macrophages with the carnitine palmitoyltransferase 1 (CPT1) inhibitor etomoxir limits M2 activation in response to IL-415. Blocking oxidative metabolism not only impairs the development of an M2-like phenotype, but also drives the cells toward an M1-like state16. Furthermore, failure of alternative M2 activation, which is associated with reduced oxidative function, leads to classical macrophage activation, elevated weight gain, and obesity with concurrent adipose inflammation and insulin resistance17,18. However, it is unclear whether the oxidative function of macrophages is reduced under these conditions, and if so, whether that impairment induces adipose tissue inflammation and insulin resistance. Furthermore, it is not known whether a treatment capable of increasing the oxidative function of macrophages would reverse insulin resistance and adipose inflammation.
In this study, we show that mice with impaired mitochondrial oxidative function in macrophages due to myeloid-specific loss of function of the CR6-interacting factor 1 (Crif1) gene, an essential mitoribosomal factor required for biogenesis of oxidative phosphorylation (OxPhos) subunits, develop systemic insulin resistance associated with adipose inflammation. Moreover, macrophages from these mice are deficient in release of the secretory factor growth differentiation factor 15 (GDF15), which is required for oxidative metabolism in M2-like macrophages stimulated with IL-4 and the PPARγ agonist rosiglitazone. GDF15 expression is suppressed in M1-like macrophages, which promote adipose inflammation and insulin resistance. GDF15 also upregulates the oxidative function of macrophages, leading to polarization into an M2-like phenotype, and reverses insulin resistance in Crif1-deficient mice fed a high-fat diet (HFD). In addition, GDF15-deficient macrophages polarized into an M1-like phenotype, and reintroduction of GDF15-null macrophages into HFD-fed mice in which macrophages are depleted with clodronate, results in glucose intolerance. Furthermore, administration of GDF15 to obese mice improves the oxidative function of adipose macrophages and reverses insulin resistance. Collectively, our findings demonstrate that defective mitochondrial oxidative function in macrophages causes systemic insulin resistance and adipose tissue inflammation. In addition, macrophages with defects in mitochondrial OxPhos function lose the ability to secrete GDF15, a macrophage-regulating autocrine and paracrine signaling factor that promotes anti-inflammatory responses in white adipose tissue.
Results
Impaired oxidative function increases M1-like macrophages
Although mitochondrial oxidative function has been shown to modulate macrophage activation, its in vivo effect on systemic insulin resistance has not been validated. Insulin resistance is associated with reduced M2-like polarization of macrophages19. To elucidate the crosstalk between immune programs of macrophage activation and mitochondrial OxPhos function, we generated myeloid cell-specific OxPhos complex-deficient mice by deleting Crif1 from myeloid cells, including macrophages, using the LysM-Cre driver20. Merging of endogenous CRIF1 fluorescence with that of MitoTracker revealed that CRIF1 was present in the mitochondria of macrophages (Supplementary Fig. 1A). We then generated heterozygous and homozygous myeloid cell-specific Crif1-deficient mice (MacHE and MacHO, respectively) and performed genotyping to confirm mutagenesis (Supplementary Fig. 1B). Bone marrow–derived macrophages (BMDMs) of MacHE and MacHO mice exhibited a significant and marked reduction in the Crif1 mRNA level in comparison with control mice (MacWT) (Fig. 1a). As expected, BMDMs of MacHO mice expressed lower levels of the OxPhos subunits NDUFA9, UQCRC2, COX4I1, and ATP5A1 than control mice (Fig. 1b, c, Supplementary Fig. 12).
We next examined the integrity of OxPhos complexes in macrophages using BN-PAGE. BMDMs of MacHE and MacHO mice expressed reduced levels of complexes I, II, IV, and V, and formed an abnormal supercomplex between complexes III and IV (Supplementary Fig. 1C). Monitoring the oxygen consumption rate (OCR) in BMDMs revealed that macrophages from MacHO mice exhibited reduced basal respiration, ATP-linked respiration, and maximal respiration rates (Fig. 1d, e). Deletion of the Crif1 gene from myeloid cells using the LysM-Cre driver did not affect the populations of monocytes or other myeloid cells within the blood and bone marrow (Supplementary Fig. 1D–1G). These findings indicate that Crif1 deficiency decreases the number and assembly of OxPhos subunits, as well as respiration, and may cause abnormal mitochondrial proteostasis.
To determine whether Crif1 deficiency plays a critical role in the switch between classically and alternatively activated macrophages, we examined the expression of M1-associated and M2-associated genes in the presence or absence of Th1 and Th2 cytokines. In the absence of any stimuli, BMDMs isolated from MacHO mice expressed higher levels of M1-related genes, and lower expression of M2-related genes, than controls (Fig. 1f). In addition, under basal conditions these cells expressed higher levels of Il6 and Nos2 mRNA levels than macrophages from MacWT mice, and these genes were induced even more strongly in response to interferon gamma (IFN-γ) and lipopolysaccharides (LPS) (Fig. 1g, h). Furthermore, IL-4–stimulated induction of Arg1 (l-arginase) and Ym1 (Chi3l3) was lower in BMDMs from MacHO mice than in those from MacWT mice (Fig. 1i, j). In addition, p38 kinase, which regulates inflammatory responses in M1-like macrophages21, was activated to a greater extent by IFN-γ and LPS in MacHO than in MacWT (Fig. 1k, l, Supplementary Fig. 13). Taken together, these data suggest that macrophages with genetically impaired oxidative function have properties consistent with M1-like polarized macrophages and reduced Th2 cytokine responsiveness.
MacHO mice fed a HFD develop systemic insulin resistance
To determine whether the reduced oxidative function in macrophages triggers systemic insulin resistance, we monitored body weight and glucose tolerance in MacHO mice fed either a normal chow diet (NCD) or a HFD. We observed no difference in body weight or the levels of cholesterol or triglyceride between MacHO and MacWT mice fed a NCD or HFD (Fig. 2a, Supplementary Fig. 2A). In addition, we detected no significant differences between MacHO and MacWT in glucose and insulin tolerance under NCD. However, MacHO mice fed a HFD developed systemic glucose intolerance and insulin resistance (Fig. 2b, c). To confirm systemic insulin resistance in MacHO mice on a HFD, we examined AKT phosphorylation in liver, skeletal muscle, and adipose tissue. Phosphorylation of AKT in liver and epididymal white adipose tissue (eWAT) was clearly lower in MacHO than in MacWT mice, although no difference was detected in skeletal muscle (Fig. 2d, e, Supplementary Fig. 14). Although histological analysis of adipose tissue, liver, and skeletal muscle did not reveal any clear abnormalities (Supplementary Fig. 2B, 2C), HFD-fed MacHO mice exhibited characteristic macrophage infiltration of eWAT, accompanied by an elevated number of crown-like structures (Fig. 2f, g). Furthermore, fibrosis, which is a sequela of significant long-term macrophage-mediated inflammation, was widespread throughout the eWAT of HFD-fed MacHO mice (Fig. 2h, i).
The proportion of macrophages within the CD45+ cell population among stromal vascular cells (SVCs) of eWAT was significantly higher in MacHO than in MacWT mice fed a HFD (65.65 ± 0.92% vs. 58.4 ± 2.28%, respectively; p < 0.05, Student’s t-test) (Fig. 2j, Supplementary Fig. 3). The percentage of M1-like macrophages within the total macrophage population (F4/80+/CD11b+/CD11c+/CD206-) was significantly higher in MacHO mice than in MacWT mice (45.56 ± 3.06% vs. 30.26 ± 2.15%, respectively; p < 0.05, Student’s t test), whereas the percentage of M2-like macrophages (CD11b+/F4/80+/CD11c−/CD206+) was significantly lower (24.86 ± 3.53% vs. 36.86 ± 1.77%; p < 0.05, Student’s t-test) in MacHO mice (Fig. 2j, k). Although the macrophage population changed, the proportion of eosinophils and CD4+ and CD8+ T cells did not differ between the two groups (Supplementary Fig. 2D). Taken together, these findings indicate that reduced oxidative function in macrophages triggers systemic insulin resistance, characterized by peripheral adipose tissue inflammation and a shift in macrophage polarity from M2 to M1 in adipose tissue.
PPARγ and STAT6 regulate expression of GDF15 in macrophages
Several independent lines of evidence support the importance of PPARγ-stimulated oxidative metabolism in priming and polarization of the alternative macrophage phenotype11,22,23. To identify the paracrine factors that contribute to macrophage polarization in adipose tissue, we first analyzed six transcriptomes from control human macrophages and macrophages treated with rosiglitazone, a potent PPARγ agonist (GSE25088; Supplementary Fig. 3A, 3B)24. Although we identified 12 humoral factors whose expression levels were induced by rosiglitazone (Supplementary Fig. 4A), only epidermal growth factor 17 (EGF17), semaphorin 3e (SEMA3e), angiopoietin-related protein 4 (ANGPTL4), energy homeostasis (ENHO), and Growth differentiation factor 15 (GDF15) were significantly upregulated (Supplementary Fig. 4B). Next, we examined the induction of these autocrine and paracrine factors in mouse BMDMs. Because the proinflammatory molecules inhibit PPARγ activity, whereas interleukin-4 (IL-4) stimulates PPARγ activity, in human and murine macrophages and DCs24, we sought to identify factors that were expressed in murine macrophages in response to IL-4. Of the five significantly upregulated genes, Gdf15 was effectively induced by IL-4 (Supplementary Fig. 4C, Supplementary data 1). Gene Ontology (GO) biological process analysis revealed that the upregulated and downregulated genes are involved in M2 macrophage activation by IL-4 (Supplementary Fig. 4D). This result is consistent with the role of IL-4 in macrophage activation and polarization25. A complete list of over-represented and under-represented processes is provided in Supplementary data 2 and 3. Next, we examined the induction of five autocrine and paracrine factors in vitro. As observed in human macrophage transcriptomes, in mouse cells rosiglitazone clearly induced expression of the five genes listed above, whereas recombinant IL-4 (rIL-4) induced only Angptl4 and Gdf15 (Fig. 3a).
ANGPTL4 is a matricellular protein that has been implicated in multiple inflammation-associated diseases26. IL-4 promotes induction of Angptl4 by rosiglitazone in wild-type, but not STAT6-deficient, macrophages24. We were more interested in GDF15 (also known as macrophage inhibitory cytokine 1), which is regarded as an autocrine molecule that inhibits LPS-induced TNF production by macrophages27. Although GDF15 has been implicated in metabolic disease and inflammation, the details of its roles in these processes remain unknown28. To better understand the expression pattern of Gdf15, we examined rosiglitazone- or rIL-4-treated mouse BMDMs, and found that BMDMs treated with rosiglitazone or rIL-4 expressed higher levels of Gdf15 mRNA and protein than control cells (Fig. 3b, c).
STAT6, a major transcription factor regulated by the Th2 cytokines IL-4 and IL-13, also promotes the maturation of alternatively activated macrophages10,29. To verify the role of STAT6 in IL-4–mediated Gdf15 expression, we prepared BMDMs from Stat6-knockout (KO) mice and examined Gdf15 expression upon treatment with rIL-4 and rosiglitazone. BMDMs from Stat6-KO mice (Supplementary Fig. 4E) exhibited reduced basal expression of Gdf15 (Fig. 3d). Consistent with a previous report24, STAT6 deficiency abrogated rIL-4-stimulated expression of Arg1, Fizz1 (found in inflammatory zone), and Ym1, which are markers of M2-like macrophages30,31. In addition, expression of Arg1, Fizz1, and Ym1 in STAT6-deficient macrophages was not altered by rosiglitazone treatment (Fig. 3e–g). As expected, rIL-4- or rosiglitazone-stimulated Gdf15 expression was markedly attenuated in Stat6-KO BMDMs (Fig. 3h).
To obtain further support for the hypothesis that both PPARγ-mediated and IL-4-mediated STAT6 pathways govern GDF15 expression in macrophages, we examined GDF15 promoter activity using reporter constructs fused to the human GDF15 (hGDF15) promoter. RAW264.7 cells were transiently transfected with a long (hGDF15 −1739/+70) construct (containing the PPARγ [PPRE] and STAT6 [STAT6-RE] binding sites) and a short (hGDF15 −660/+70) construct, and then treated with rosiglitazone or rIL-4 for 24 h (Fig. 3i). The short construct had no transcriptional activity, whereas the long construct yielded a significant increase in luciferase activity in both rIL-4- and rosiglitazone-treated cells (Fig. 3j). This observation suggests that PPARγ and STAT6 play critical roles in IL-4- and rosiglitazone-dependent GDF15 expression in macrophages (Supplementary Fig. 4F). Thus, expression of GDF15 is augmented by PPARγ and STAT6 activation, both of which increase oxidative function, a metabolic characteristic of alternatively activated M2-like macrophages24,32.
GDF15 stimulates oxidative metabolism of macrophages
Because expression of GDF15 increased in both rosiglitazone- and rIL-4-treated BMDMs, we next investigated whether GDF15 regulates oxidative metabolism in macrophages. Because GDF15 action is dependent on TGF-β RII33,34, we measured mRNA expression of TGF-β RI receptor kinases (Alk1–7), which undergo hetero-oligomerization with type II serine/threonine kinase receptors to transduce signals, usually via SMAD proteins. BMDMs and RAW264.7 cells exhibited differential expression of ALK isoforms: the former expressed Alk1, 2, and 5, and the latter Alk2, 3, and 5 (Fig. 4a, Supplementary Fig. 5). Recombinant GDF15 (rGDF15) stimulated phosphorylation of SMAD2 and 3 but not SMAD1, 5, or 9 (Fig. 4b, Supplementary Fig. 15). rGDF15-induced phosphorylation of SMAD2 and 3 was abolished by SB431542, a potent and selective inhibitor of TGF-β RI receptor kinases (ALK4, 5, and 7) (Fig. 4c, Supplementary Fig. 16). These findings indicate that GDF15 transmits the SMAD2 and 3 activating signals via the TGF-β RI receptor kinases ALK4, 5, and 7.
Next, we investigated whether GDF15 regulates oxidative metabolism in macrophages29. rGDF15 significantly increased the maximal OCR; however, this increase was completely abolished by SB431542 (Fig. 4d, e). Thus, GDF15-mediated signaling increased oxidative function in macrophages by activating ALK4, 5, and 7. To confirm this finding, we analyzed FAO and its associated gene expression patterns in macrophages treated with rGDF15. Exposure of BMDMs to rGDF15 increased palmitate oxidation (Fig. 4f, g). Moreover, qRT-PCR revealed that GDF15-stimulated macrophages increased the expression of genes controlling fatty oxidation (Cpt1, Acadm, and Acadvl) (Fig. 4h). Furthermore, rGDF15 inhibited LPS- and IFN-γ–induced production of Il6, Nos2, and Tnf in macrophages, suggesting that GDF15 suppresses M1-like activation of macrophages (Fig. 4i–k). By contrast, rGDF15 augmented IL-4-mediated expression of Arg1, Fizz1, and Ym1 in BMDMs (Fig. 4l–n).
GDF15 deficiency in macrophages aggravates glucose tolerance
To further characterize the role of macrophage GDF15 in systemic insulin resistance, we performed adoptive transfer of GDF15-deficient macrophages into macrophage-depleted mice35. To generate macrophage-depleted mice, clodronate liposome (clodronate) was injected intraperitoneally, resulting in approximately 70% depletion of eWAT macrophages after 24 h, in comparison with vehicle (PBS-liposome) injection (Supplementary Fig. 6A, 6B)36–39. The fluorescent dye PKH26, which mainly binds to the cell membrane, has been used as a macrophage tracer to locate transplanted cells in eWAT40. After intravenous injections of PKH26-stained BMDMs, the abundance of fluorescent macrophages was elevated in eWAT irrespective of clodronate treatment (Supplementary Fig. 6C–6E).
Next, to test whether GDF15 deficiency in macrophages affects systemic insulin resistance, we intravenously injected GDF15-deficient BMDMs (1 × 106 per mouse) three times per week into mice on a HFD (Fig. 5a)1. Mice injected with Gdf15-KO BMDMs exhibited an increase in body weight regardless of clodronate treatment (Fig. 5b, e), which was largely due to an increase in WAT weight (Fig. 5i). Injection of GDF15-deficient BMDMs mildly aggravated the response to glucose and insulin challenges in the vehicle-treatment (Fig. 5c, d) and clodronate-treatment groups (Fig. 5f, g). In addition, injection of GDF15-deficient BMDMs induced an increase in homeostasis model assessment of insulin resistance (HOMA-IR) in both the vehicle-treatment and clodronate-treatment groups (Fig. 5h).
To further confirm that GDF15 deficiency affects the polarization of adipose macrophages, we analyzed the macrophage population in SVCs by fluorescence-activated cell sorting (FACS). The percentage of total macrophages (CD45+/CD11b+/F4/80+) was elevated in the Gdf15-KO BMDM group (WT vs. Gdf15-KO: 28.25 ± 2.38% vs. 37.05 ± 0.64%, p < 0.05, Student’s t-test) (Fig. 5j, Supplementary Fig. 7). The M1 population of macrophages was also increased in the Gdf15-KO BMDM group (WT vs. Gdf15-KO: 8.27 ± 1.75% vs. 22.23 ± 2.74%, p < 0.05, Student’s t-test) (Fig. 5k). As expected, the M2 population of macrophages decreased in the Gdf15-KO BMDM group with or without clodronate treatment (WT vs. Gdf15-KO with PBS liposomes: 68.83 ± 3.88% vs. 42.60 ± 2.33%, p < 0.05, Student’s t-test; WT vs. Gdf15-KO with clodronate: 62.00 ± 5.29% vs. 49.05 ± 4.00%; p < 0.05, Student’s t-test) (Fig. 5l). The results of the adoptive transfer study suggest that GDF15 deficiency in macrophages is associated with exacerbation of glucose intolerance by an altered immune environment in white adipose tissue.
GDF15 deficiency impedes IL-4-mediated metabolic recovery
Given that GDF15 is required to promote oxidative metabolism in M2-like macrophages stimulated with IL-4, we investigated whether IL-4 regulates adipose inflammation and glucose metabolism in a GDF15-dependent manner. In these experiments, we intraperitoneally injected rIL-4 for 2 weeks into WT and Gdf15-KO mice, which were fed a HFD for 7 weeks. There was no difference in body weight between control and Gdf15-KO mice fed a HFD (Fig. 6a, b). Control WT mice treated with rIL-4 for 1 week exhibited the significant reduction in body weight, improvement of glucose tolerance, and reduction of plasma insulin levels, but these effects were absent in Gdf15-KO mice (Fig. 6a–d). Serum GDF15 levels were, as expected, only increased by IL-4 in WT mice (Fig. 6e). These observations suggest that the whole-body metabolic action of rIL-4 is mediated by GDF15.
The proportion of eosinophils in eWAT was significantly higher in both control and Gdf15-KO mice treated with rIL-4 (Veh vs. IL-4 treated: 7.19 ± 1.37% vs. 22.63 ± 4.30%, p < 0.05, Student’s t-test) (Fig. 6f, Supplementary Fig. 8). The percentage of macrophages in CD45+ cells in eWAT was dramatically reduced following rIL-4 treatment (Veh vs. IL-4 treated: 35.76 ± 3.46% vs. 17.80 ± 5.36%, p < 0.05, Student’s t-test) (Fig. 6g). The M1 population (CD11b+, F4/80+, CD11c+) of macrophages was not increased upon rIL-4 treatment, but was more abundant in eWAT of Gdf15-KO mice following rIL-4 treatment (Fig. 6h). The M2 population (CD11b+, F4/80+, CD206+) of macrophages increased upon rIL-4 treatment (Veh vs. IL-4 treated: 60.50 ± 1.05% vs. 65.83 ± 2.02%, p < 0.05, Student’s t-test) (Fig. 6i). Interestingly, treatment with rIL-4 failed to increase the M2 population (CD11b+, F4/80+, CD206+) in adipose tissue from Gdf15-KO mice (Veh vs. IL-4 treated: 60.07 ± 2.29% vs. 53.66 ± 3.05%, Student’s t-test) (Fig. 6i).
To further characterize the role of GDF15 on adipose macrophage polarization, we analyzed the expression of polarization marker genes in CD11b+ cells isolated from Gdf15-KO mice in response to rIL-4 administration. Gdf15 and M2 activation-related genes such as Arg1 and Ym1 were strongly induced upon IL-4 treatment of CD11b+ cells from WT mice treated with rIL-4, but the IL-4-mediated induction of those genes was markedly blunted in CD11b+ cells from Gdf15-KO mice (Fig. 6j–l). M1 activation-related genes such as Il6 and Il1b were upregulated in CD11b+ cells from Gdf15-KO mice, but suppressed by rIL-4 treatment (Fig. 6m, n).
The improvement of glucose tolerance upon rIL-4 treatment in mice fed a HFD was absent in Gdf15-KO mice. Furthermore, GDF15 deficiency in macrophages resulted in a failure of M2 polarization in response to IL-4 stimulation. Hence, GDF15 maintains both the M2-polarization status in adipose tissue and systemic glucose homeostasis.
GDF15 secretion is reduced in OxPhos-defective macrophages
Given that macrophages from MacHO mice exhibited reduced STAT6-mediated responses to IL-4, we next examined the expression and secretion of GDF15, which is induced upon PPARγ and STAT6 activation. Expression of IL-4 receptor (Il4r) and Pparg mRNA in macrophages was significantly lower in MacHO than in MacWT, and Stat6 was expressed at a lower level, although it was not significant (Fig. 7a). rIL-4 treatment caused robust induction of STAT6 phosphorylation in MacWT BMDMs (pTyr 641); however, MacHO BMDMs exhibited lower levels of STAT6 phosphorylation (Fig. 7b, c, Supplementary Fig. 17). Consistent with this, MacHO BMDMs expressed a lower level of IL-4 receptor than MacWT BMDMs, suggesting that these cells also expressed lower levels of GDF1541. Supporting this assumption, IL-4-stimulated expression and secretion of GDF15 were markedly reduced in MacHO BMDMs (Fig. 7d, e).
To ascertain whether GDF15 treatment increases the oxidative capacity of macrophages, we measured OCR in rGDF15-treated macrophages (Fig. 7f). rGDF15 increased maximal OCR in BMDMs from both MacWT and MacHO mice, indicating that GDF15 increases the oxidative function of macrophages. We next investigated whether rGDF15 suppresses M1-like activation and upregulates M2-like activation of MacHO BMDMs. MacHO macrophages pretreated with rGDF15 exhibited reduced expression of Il6, Nos2, and Tnf in response to IFN-γ and LPS treatment (Fig. 7g–i). Moreover, expression of IL-4-mediated M2 activation-related genes was restored by treatment with rGDF15 (Fig. 7j–l).
rGDF15 reverses insulin resistance in MacHO mice
We hypothesized that administration of rGDF15 would ameliorate systemic insulin resistance by restructuring the macrophage population in adipose tissue. To verify this, we treated MacHO mice exhibiting systemic insulin resistance and adipose infiltration by M1-like macrophages with rGDF15 (300 μg/kg) every other day for 2 weeks. Systemic administration of rGDF15 to MacHO mice fed a HFD led to a slight reduction in body weight after 10 days, and improved both systemic glucose tolerance and insulin sensitivity (as demonstrated by a reduced HOMA-IR) (Fig. 8a–c, Supplementary Fig. 9A, 9B). Moreover, in comparison with vehicle, rGDF15 reduced the percentage of macrophages within the total CD45+ cell population in SVCs of eWAT in both MacWT and MacHO mice (Fig. 8d, e). Notably, the proportion of M1-like macrophages within the total macrophage population in eWAT was reduced significantly, whereas that of M2-like macrophages increased (MacWT: from 23.43 ± 3.72% to 30.40 ± 33.35%, p < 0.05; MacHO: from 18.20 ± 1.06% to 25.44 ± 3.01, p < 0.05, Student’s t-test) (Fig. 8d, e, Supplementary Fig. 10). Thus, GDF15 improves glucose tolerance in MacHO mice fed a HFD by regulating macrophage polarity in adipose tissue.
rGDF15 improves systemic glucose tolerance in ob/ob mice
Finally, to determine whether GDF15 affects systemic glucose tolerance and macrophage infiltration in a rodent model of obesity, we treated ob/ob mice (in which M1-like macrophages predominate in adipose tissue) with rGDF15. This treatment led to a reduction in weight, HOMA-IR, and improvement of systemic glucose tolerance and insulin sensitivity in both ob/+ and ob/ob mice (Fig. 8f, g, Supplementary Fig. 9C–G). The total macrophage population in SVCs of eWAT of ob/+ mice was reduced, as was the percentage of M1-like macrophages (Fig. 8h, i, Supplementary Fig.11). Consistent with this, the percentage of M2-like macrophages increased (ob/+: 85.33 ± 4.95 to 90.9 ± 1.3%, p < 0.05; ob/ob: 62.1 ± 1.90 to 72.76 ± 5.55%, p < 0.05, Student’s t-test) (Fig. 8h, i). Thus, these findings suggest that GDF15 is a critical systemic hormonal regulator of both macrophage-induced adipose inflammation and systemic insulin resistance.
Discussion
Following the seminal discovery of the contribution of ATMs to obesity-related metabolic diseases, these cells were extensively characterized with the goal of identifying potential therapeutic targets for insulin resistance associated with excessive adiposity1. The current evidence supports the idea that macrophages residing in lean adipose tissue are alternatively activated (M2-like), whereas those in obese adipose tissue are both markedly more abundant and predominantly classically activated (M1-like) phenotypes; the latter cells promote adipose inflammation and insulin resistance.
CRIF1, an essential mammalian mitoribosomal factor required for the synthesis and insertion of mitochondrial-encoded OxPhos polypeptides into the mitochondrial membrane, is abundantly expressed in skeletal muscle20,42. Loss of Crif1 leads to OxPhos dysfunction due to both aberrant synthesis and defective insertion of OxPhos polypeptides into the inner mitochondrial membrane20. Consistent with this, we found that Crif1 deficiency induced progressive mitochondrial OxPhos dysfunction in macrophages. In addition, Crif1-deficient macrophages exhibited typical features of a phenotypic switch toward M1-like cells. Moreover, Crif1-deficient macrophages exhibited reduced Th2 cytokine responses, as reflected by reductions in the expression levels of Arg1, Ym1, and Gdf15 expression. Although impaired oxidative function was previously observed in M1-like macrophages, it remained unclear whether primary OxPhos deficiency in macrophages causes insulin resistance associated with adipose inflammation. Here, we showed that reduced mitochondrial oxidative function in macrophages precipitates adipose inflammation and systemic insulin resistance in mice fed a HFD. Pharmacological PPARγ agonists do not influence M2 marker expression in resting or M1 macrophages, but can prime native monocytes to express an M2 phenotype22, and induction of an M2-like phenotype by PPARγ agonists is associated with elevated oxidative function. Increases in oxidative function induced by PPARγ agonists are not limited to macrophages, but are also observed in adipose tissue43. Therefore, potential therapeutic agents designed to attenuate M1-like macrophage polarization and improve systemic insulin resistance may, along with weight loss, be efficacious for obese diabetic patients.
STAT6 and PPARγ are the primary activators of M2 polarization of macrophages4,11. Activation of STAT6 and PPARγ increases oxidative metabolism, which is dependent on mitochondrial function, resulting in secretion of IL-10, TGF-β1, Ym1, and FIZZ1. These proteins may act in turn as local paracrine factors to control the microenvironment in adipose tissue. In line with these findings, paracrine factors possibly originating from stromal cells and adipocytes in adipose tissue may determine the polarization status of ATMs. In this study, we showed that GDF15 levels, which are transcriptionally co-regulated by STAT6 and PPARγ, are increased by Th2 cytokines and PPARγ agonists. Our observations of elevated respiration, palmitate oxidation, and expression of FAO-related genes in GDF15-treated macrophages suggest that GDF15 shifts the metabolic phenotype of macrophages by increasing their oxidative function (Fig. 4). Reprogrammed energy metabolism, characterized by increased oxidative function, may be linked to inhibition of LPS- and IFN-γ–induced M1-like polarization, and may potentiate M2-like polarization stimulated by the Th2 cytokine IL-444. The therapeutic potential of GDF15 has been tested in model animals with pathologic conditions characterized by abnormal macrophage accumulation. For example, elevated expression of GDF15 in macrophages protects ApoE-deficient mice from atherosclerosis45. In another study, GDF15 transgenic mice were resistant to diet- and genetically induced obesity and exhibited improved insulin sensitivity due to a reduction in NLRP3 inflammasome activity in adipose tissue, in the context of obesity and insulin resistance46. These observations corroborate our findings that GDF15 is a key player in the regulation of macrophage-mediated adipose inflammation.
GDF15 is a marker of mitochondrial stress in vitro and in vivo, and plasma GDF15 levels increase under mitochondrial dysfunction or disease47–49. The elevated plasma GDF15 levels in mice and humans with mitochondrial OxPhos dysfunction may result from higher secretion of GDF15 in affected tissues, including skeletal muscle50. However, induction and secretion of GDF15 in cells with compromised OxPhos function is largely dependent on cell type. Specialized cell types, such as pancreatic beta cells and macrophages, have a limited capacity to induce GDF15 secretion in response to OxPhos dysfunction, e.g., in the case of Crif1 deficiency51. Based on these observations, we speculate that decreased GDF15 secretion in Crif1-deficient macrophages is a cell type-specific response to mitochondrial stress, which is different from the response in other tissues.
It has recently been reported that GDF15 specifically binds to the GDNF family receptor a-like (GFRAL) with high affinity, and that GFRAL requires association with the co-receptor RET to elicit intracellular signaling in response to GDF15 stimulation in the hindbrain52,54,55. However, there are several reports that GDF15 action is dependent on the TGF-β RII, suggesting alternate signaling mechanisms via different receptor interactions which may be distinct in the hindbrain and the periphery33,34. We have also shown that rGDF15 stimulates the phosphorylation of SMAD2 and 3 in macrophages via the TGF-β1 receptor kinase, ALK4, 5, and 7. Thus, although Gfral has been identified as an important receptor for GDF15, GDF15 signaling through the TGF-β receptor in peripheral tissues and macrophages cannot be ignored. Although pharmacological administration of GDF15 in rodents and primates effectively decreases body weight, the physiological role of GDF15 in regulation of body weight remains unclear53–55. In this study, GDF15-deficient mice on HFD exhibited no difference in body weight in comparison with WT mice (Fig. 6a). The serum concentration of GDF15 in WT mice on HFD was around 120 pg/ml, higher than that of mice on NCD (65 pg/ml). Recent work showed that weight loss in mice is associated with very high plasma GDF15 concentration, 300–600 pg/ml56–58. These findings indicate that the weight loss effect of GDF15 is associated with pharmacologically elevated plasma concentrations of this protein.
In summary, the results of this study demonstrate that reduced macrophage oxidative function determines systemic insulin resistance and adipose inflammation. GDF15 is an active autocrine and paracrine hormone that regulates the immune microenvironment in adipose tissue. Hence, our findings suggest that it would be worthwhile to test the ability of GDF15 to improve systemic metabolic homeostasis and decrease obesity in patients.
Methods
Isolation of BMDMs and cell culture
Mouse BMDMs were isolated from bone marrow cells prepared from femur and tibia and cultured at 37 °C/5% CO2 for 7 days in DMEM supplemented with 10% FBS, 1% penicillin–streptomycin (GIBCO, Thermo Fisher, Waltham, MA, USA), and recombinant murine M-CSF (20 ng/ml; R&D Systems, Minneapolis, MN, USA). Cell purity, as determined by FACS analysis of CD11b and F4/80 expression, was >95%. The murine macrophage cell line RAW264.7 (ATCC) was cultured at 37 °C/5% CO2 in RPMI supplemented with 10% FBS and 1% penicillin-streptomycin.
Mice
Floxed Crif1 (Crif1f/f) mice were generated as previously described59. Gdf15-KO mice were obtained from Dr. Se-Jin Lee at the Johns Hopkins University School of Medicine60. LysM-Cre transgenic and Stat6-KO mice were purchased from the Jackson Laboratory. Crif1f/f mice were bred with LysM-Cre mice to generate MacHO mice. All mice, apart from Stat6-KO (BALB/c) mice, were of the C57BL/6 background. Eight-weeks-old male mice were used for all experiments except HFD fed mice that were noted in figure legends. A HFD comprising 60% fat was purchased from Research Diets Inc (D12492, New Brunswick, NJ, USA). Mice were maintained in a controlled environment (12 h light/12 h dark cycle; humidity, 50–60%; ambient temperature, 22 ± 2 °C) and fed a NCD (except as noted). Five-week-old male ob/+ control mice and ob/ob C57BL/6 J Lep(−/−) mice were purchased from Envigo (Indianapolis, IN, USA). All experiments were performed in three independent replicates, using three or four mice per group. The experimental procedures were approved by the Institutional Animal Care and Use Committee of the Chungnam National University School of Medicine (Daejeon, Korea).
Plasmid constructs
The pGL3Basic-human GDF15 (−1739/+70) luciferase reporter construct was kindly provided by Dr. Y Moon (Pusan National University, Korea). The pGL3basic-GDF15 deletion (STAT RE [-660 bp]) plasmid was constructed by inserting the PCR-amplified fragment of the human GDF15 promoter into the KpnI/XhoI-digested pGL3Basic vector (Promega Corp., Madison, WI, USA). The nucleotide sequence of the 5′-flanking region of the GDF15 promoter was scanned, and one putative STAT6 binding site (-670 to -661, TTCCTGGAA) and one PPRE binding site (−1169 to −1156, AGTGCAATGGTGA) were identified. The nucleotide sequences of all plasmids were confirmed by automated sequencing.
Immunoblot analysis
Aliquots of cell lysate (50 µg/lane) were separated by electrophoresis on 10% or 12% SDS polyacrylamide gels. Anti-phospho-STAT6, anti-STAT6, anti-phospho-SMAD2 (#3104), anti-SMAD2, anti-phospho-SMAD3, anti-SMAD3, anti-phospho-SMAD1, 5, and 9, anti-SMAD1, 5, and 9, anti-phospho-ERK1/2 (44/42 MAPK) (#4370), anti-ERK1/2 (#9102), anti-phospho-p38, anti-p38, anti-phospho-JNK, anti-JNK, and anti-SDHA (#5893) antibodies were purchased from Cell Signaling Technology (Beverley, MA, USA). Anti-NDUFA9 and COX-4 were purchased from Santa Cruz Biotechnology (Dallas, TX, USA). Anti-UQCRC2 (ab14745) was purchased from Abcam (Cambridge, UK). Anti-ATP5A1 was purchased from Invitrogen (Thermo Fisher). Secondary antibodies (goat anti-mouse and goat anti-rabbit) were obtained from Santa Cruz Biotechnology. Images were scanned on an ODYSSEY instrument and quantified using Image Studio Digits (LI-COR Biosciences, Lincoln, NE, USA). Full length uncropped blots are presented in Supplementary Figures 12–17.
RNA isolation and quantitative real-time PCR
Total RNA was isolated using TRIzol (Life Technologies, Thermo Fisher). Complementary DNA (cDNA) was prepared from total RNA using M-MLV Reverse Transcriptase and oligo-dT primers (Invitrogen). Quantitative real-time PCR was performed using cDNA, QuantiTect SYBR Green PCR Master Mix (QIAGEN, Hilden, Germany), and specific primers. Primers used in this study are described in Supplementary Table 1. Relative expression was calculated by normalizing against 18S ribosomal RNA on a 7500 Real-Time PCR System Software (v2.0.6, Applied Biosystems, Thermo Fisher).
Reagents
SB431542, PD98059, SB203580, SB202190, oligomycin, carbonyl cyanide m-chlorophenyl hydrazone (CCCP) were from Sigma-Aldrich (St. Louis, MO, USA). Recombinant human GDF15 containing an N-terminal 6-His tag was purchased from R&D Systems (#957-GD/CF). Lyophilized protein was reconstituted with sterile 4 mM HCl and stored at −70 °C.
OCR and FAO
OCR was measured using a Seahorse XF-24 analyzer (Seahorse Bioscience Inc., North Billerica, MA, USA). Briefly, BMDMs were seeded in XF-24 plates (4 × 104 cells in 200 μl of growth medium per well) and placed in a 37 °C/5% CO2 incubator for 24 h. The sensor cartridge was placed into the calibration buffer supplied by Seahorse Bioscience and incubated at 37 °C in a non-CO2 incubator for 4 h before the experiment. Immediately before measurement, the cells were washed and cultured (at 37 °C in a non-CO2 incubator) in glucose-free DMEM medium lacking sodium bicarbonate. The following compounds were added depending on the experiment: glucose (25 mM); oligomycin A (2 µg/ml); CCCP (optimized concentration; 5 μM), rotenone (2 μM), or palmitate-BSA (2 mM). OCR was automatically recorded by the sensor cartridge and calculated using the Seahorse XF-24 software.
Biochemical measurement of serum components
Blood was collected from the heart under general anesthesia and centrifuged at 800×g for 5 min, and the supernatant was collected. Serum insulin (Alpco Diagnostics, NH, USA) and GDF15 (R&D Systems) levels were measured using ELISA kits. Biochemical measurement of free fatty acid and total cholesterol was performed on a Hitachi 7180 auto analyzer using Wako reagents (Wako Pure Chemical Industries, Osaka, Japan).
Isolation of SVCs
To purify SVCs, fat pads were excised from male mice and minced in collagenase buffer (135 mM NaCl, 4.7 mM KCl, 2.5 mM CaCl2, 1.25 mM MgSO4, 10 mM HEPES, 3.5% BSA, 0.01% glucose, and 1 mg/ml collagenase type I [Worthington Biochemical, Lakewood, NJ, USA]). The minced tissues were digested at 37 °C for 40 min with gentle shaking, and then filtered through a 100 µm filter. Digested cells were obtained by centrifugation at 700×g for 5 min and incubated with RBC lysis buffer. The remaining cells were washed twice with PBS.
Flow cytometry analysis of SVCs
To identify M1 and M2 macrophages and eosinophils, SVCs were stained with the Live/Dead marker 7AAD (BD Bioscience, Thermo Fisher), followed by anti-CD45, anti-CD11b, anti-F4/80, and anti-SiglecF antibodies. To detect intracellular CD206, stained cells were fixed and permeabilized with Cytofix/Cytoperm (BD Biosciences), and then stained with anti-CD206 antibody. To identify CD4 T cells, CD8 T cells, and B cells, SVCs were stained with the Live/Dead marker 7AAD, followed by anti-CD45, anti-CD3, anti-CD4, anti-CD8, and anti-B220 antibodies (all from BioLegend, San Diego, CA, USA). The antibodies used are listed in Supplementary Table 2. All stained cells were examined on a FACS Canto II flow cytometer (BD Biosciences), and data were analyzed using the FlowJo software (FlowJo, LLC, Ashland, OR, USA).
Flow cytometry analysis of blood cells
To identify monocytes and granulocytes, mouse blood was incubated for 5 min with RBC lysis buffer and washed twice with PBS. The remaining cells were stained with the Live/Dead marker 7AAD, followed by anti-CD45, anti-CD 11b, anti-Ly6G, and anti-Ly6C antibodies (see Supplementary Table 2).
Flow cytometry of bone marrow cells
Bone marrow cells were incubated with RBC lysis buffer for 5 min, and then washed twice with PBS. The remaining cells were stained with the Live/Dead marker 7AAD, followed by anti-CD45, anti-CD11b, anti-Ly6G, anti-Ly6C, anti-CD3, anti-CD4, anti-CD8, and anti-B220 antibodies (see Supplementary Table 2).
Purification of CD11b+ cells from SVCs
To obtain the CD11b+ cell fraction, SVCs were enriched by magnetic−activated cell sorting (MACS) using CD11b MicroBeads (Miltenyi Biotec, Bergisch Gladbach, Germany). The enriched CD11b+ cells were then stained with anti-CD45, anti-CD11b, and anti-F4/80 antibody. Staining was confirmed on a FACS Canto II flow cytometer, and the cells were then processed for qRT-PCR.
Macrophage depletion and reintroduction with PKH26 labeling
For adoptive transfer in Fig. 5, clodronate and PBS liposomes (F70101C-AC) were purchased from FormuMax (Sunnyvale, CA, USA). The mice were intraperitoneally injected with clodronate and PBS liposomes (100 μl/mice) and fed a HFD. After 2 days of treatment with clodronate or PBS liposomes, BMDMs (1 × 106) were injected into the tail vein of each group of mice once weekly for 3 weeks.
For supplementary Figure 6, PKH26 linker (P9691, Sigma, St. Louis, MO, USA) was used to track the migration of BMDMs. BMDMs (1 × 106) for injection were stained with PKH linker according to the manufacturer’s instructions. Two days after second injection, the ATMs were immediately isolated from eWAT and analyzed on a FACS Canto II flow cytometer.
Administration of rIl-4 and rGDF15
For experiments using rIL-4, C57BL/6 mice were fed a HFD and given intraperitoneal injections of rIL-4 (2 μg/mouse, 214-14, PeproTech, Rocky Hill, NJ, USA) or PBS alone every day for 2 weeks. For experiments using rGDF15, MacWT, MacHO, ob/+ and ob/ob mice were given intraperitoneal injections of rGDF15 (8 μg/mouse, 957-GD/CF, R&D Systems) or 4 mM HCl alone every other day for 2 weeks.
Histological analysis
Tissue samples were obtained from 8-week-old male MacWT and MacHO mice, 16-week NCD-fed mice or 10-week HFD-fed MacWT and MacHO mice (n = 3 per each group). Samples for light microscopy were fixed in 4% paraformaldehyde for 4 h. Paraffin embedding, sectioning, H&E and Masson’s trichrome staining, and immunohistochemistry (IHC) were performed according to standard protocols. For IHC, the tissue sections were incubated with primary antibodies (anti-F4/80; 1:100; Abcam) for 16 h at 4 °C, and binding was detected using the Polink-1 HRP Rat-NM DAB Detection System (GBI Labs, Bothell, WA, USA).
Intraperitoneal glucose and insulin tolerance tests
For the intraperitoneal glucose tolerance test (IPGTT), mice were fasted for 16 h before glucose (2 g/kg of body weight) was injected into the intraperitoneal cavity. Blood glucose levels were measured 0, 15, 30, 60, and 90 min later using a glucometer (ACCU-CHEK, Roche Diagnostics Corporation, Indianapolis, IN, USA). The insulin tolerance test (ITT) was performed by measuring blood glucose after a 6 h fast followed by intraperitoneal injection of insulin (0.75 U/ kg body weight; Humalog, Lilly, USA).
Microarray analysis of cDNA
Total RNA was prepared from BMDMs isolated from 8-week-old male Crif1f/f mice. RNA amplification and labeling were performed using Cyanine 3-labeled cRNA (complementary RNA) was generated from Agilent’s Low RNA Input Linear Amplification kit with 500 ng total RNA (Agilent Technologies, Santa Clara, CA, USA). Labeled cRNA was applied microarray (Agilent technologies, 8 × 60 K) using Agilent’s Gene Expression Hybridization Kit (Agilent Technologies). Data were extracted on a G2565CA DNA Microarray Scanner using the Agilent Feature Extraction Software (Agilent Technologies) with default settings.
Bioinformatics analyses
All raw transcriptomic data are publicly available on Gene Expression Omnibus (GEO; www.ncbi.nlm.nih.gov/geo) under accession number GSE2508824, as well as on GeneNetwork (www.genenetwork.org). Analysis of rosiglitazone-treated human macrophages (GSE25088) was performed using a customized gene set containing known humoral factors. Heat maps were built using GENE-E (Broad Institute, www.broadinstitute.org/cancer/software/GENE-E/).
Statistical analyses
Statistical analyses were performed using Prism 5 (GraphPad Software, La Jolla, CA, USA). Data are expressed as means ± standard error of the mean (SEM). All data from animal studies were analyzed by two-tailed Student’s t-test. A p-value <0.05 was considered statistically significant.
Data availability
Microarray data that support the findings of this study have been deposited in the NCBI Gene Expression Omnibus (GEO) database with the primary accession code GSE110771. The other data that support the findings of this study are available from the corresponding author upon reasonable request.
Electronic supplementary material
Acknowledgements
This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), Ministry of Science, ICT, and Future Planning, Korea (NRF-2015R1A2A1A13000951, GRL 2017K1A1A2013124); the EPFL; the AgingX program of the Swiss Initiative for Systems Biology (51RTP0-151019 and 2013/153); and the NIH (R01AG043930). S.-B.J. was supported by a NRF grant from the Ministry of Education, Korea (NRF-2016R1C1B1016547). J.H.L. was supported by the NRF (NRF-2014R1A1A1006176), Korea.
Author contributions
S.-B.J. performed most experiments, analyzed the data, and wrote the manuscript. M.S. conceived the study, designed experimental strategies, and wrote the manuscript. M.J.C., S.G.K., and S.E.L. performed experiments and analyzed data. J.Y.C. helped to write the manuscript. H.K.C., H.-S.Y., J.H.L., K.S.K., H.J.K., C.-S.K., R.W.W., and H.K. provided conceptual input. Y.K.K. and C.-H.L. provided the mice. D.R. and J.A. performed the bioinformatics analysis and edited the manuscript. H.K.L. helped with flow cytometry design and analysis.
Competing interests
The authors declare no competing interests.
Footnotes
Electronic supplementary material
Supplementary Information accompanies this paper at 10.1038/s41467-018-03998-z.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Weisberg SP, et al. Obesity is associated with macrophage accumulation in adipose tissue. J. Clin. Investig. 2003;112:1796–1808. doi: 10.1172/JCI200319246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Lackey DE, Olefsky JM. Regulation of metabolism by the innate immune system. Nat. Rev. Endocrinol. 2016;12:15–28. doi: 10.1038/nrendo.2015.189. [DOI] [PubMed] [Google Scholar]
- 3.Xu H, et al. Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance. J. Clin. Investig. 2003;112:1821–1830. doi: 10.1172/JCI200319451. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Olefsky JM, Glass CK. Macrophages, inflammation, and insulin resistance. Annu. Rev. Physiol. 2010;72:219–246. doi: 10.1146/annurev-physiol-021909-135846. [DOI] [PubMed] [Google Scholar]
- 5.Anthony RM, et al. Memory T(H)2 cells induce alternatively activated macrophages to mediate protection against nematode parasites. Nat. Med. 2006;12:955–960. doi: 10.1038/nm1451. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Porcheray F, et al. Macrophage activation switching: an asset for the resolution of inflammation. Clin. Exp. Immunol. 2005;142:481–489. doi: 10.1111/j.1365-2249.2005.02934.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lawrence T, Natoli G. Transcriptional regulation of macrophage polarization: enabling diversity with identity. Nat. Rev. Immunol. 2011;11:750–761. doi: 10.1038/nri3088. [DOI] [PubMed] [Google Scholar]
- 8.Odegaard JI, Chawla A. The immune system as a sensor of the metabolic state. Immunity. 2013;38:644–654. doi: 10.1016/j.immuni.2013.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Benoit M, Desnues B, Mege JL. Macrophage polarization in bacterial infections. J. Immunol. 2008;181:3733–3739. doi: 10.4049/jimmunol.181.6.3733. [DOI] [PubMed] [Google Scholar]
- 10.Gordon S. Alternative activation of macrophages. Nat. Rev. Immunol. 2003;3:23–35. doi: 10.1038/nri978. [DOI] [PubMed] [Google Scholar]
- 11.Odegaard JI, et al. Macrophage-specific PPARgamma controls alternative activation and improves insulin resistance. Nature. 2007;447:1116–1120. doi: 10.1038/nature05894. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Odegaard JI, Chawla A. Alternative macrophage activation and metabolism. Annu. Rev. Pathol. 2011;6:275–297. doi: 10.1146/annurev-pathol-011110-130138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kang K, et al. Adipocyte-derived Th2 cytokines and myeloid PPARdelta regulate macrophage polarization and insulin sensitivity. Cell Metab. 2008;7:485–495. doi: 10.1016/j.cmet.2008.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lumeng CN, Bodzin JL, Saltiel AR. Obesity induces a phenotypic switch in adipose tissue macrophage polarization. J. Clin. Investig. 2007;117:175–184. doi: 10.1172/JCI29881. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Huang SC, et al. Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophages. Nat. Immunol. 2014;15:846–855. doi: 10.1038/ni.2956. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Rodriguez-Prados JC, et al. Substrate fate in activated macrophages: a comparison between innate, classic, and alternative activation. J. Immunol. 2010;185:605–614. doi: 10.4049/jimmunol.0901698. [DOI] [PubMed] [Google Scholar]
- 17.Odegaard JI, et al. Alternative M2 activation of Kupffer cells by PPARdelta ameliorates obesity-induced insulin resistance. Cell Metab. 2008;7:496–507. doi: 10.1016/j.cmet.2008.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Dalmas E, et al. Irf5 deficiency in macrophages promotes beneficial adipose tissue expansion and insulin sensitivity during obesity. Nat. Med. 2015;21:610–618. doi: 10.1038/nm.3829. [DOI] [PubMed] [Google Scholar]
- 19.Vats D, et al. Oxidative metabolism and PGC-1beta attenuate macrophage-mediated inflammation. Cell Metab. 2006;4:13–24. doi: 10.1016/j.cmet.2006.05.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kim SJ, et al. CRIF1 is essential for the synthesis and insertion of oxidative phosphorylation polypeptides in the mammalian mitochondrial membrane. Cell Metab. 2012;16:274–283. doi: 10.1016/j.cmet.2012.06.012. [DOI] [PubMed] [Google Scholar]
- 21.Cao L, et al. CARD9 knockout ameliorates myocardial dysfunction associated with high fat diet-induced obesity. J. Mol. Cell. Cardiol. 2016;92:185–195. doi: 10.1016/j.yjmcc.2016.02.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Bouhlel MA, et al. PPARgamma activation primes human monocytes into alternative M2 macrophages with anti-inflammatory properties. Cell Metab. 2007;6:137–143. doi: 10.1016/j.cmet.2007.06.010. [DOI] [PubMed] [Google Scholar]
- 23.Chinetti G, Fruchart JC, Staels B. Peroxisome proliferator-activated receptors: new targets for the pharmacological modulation of macrophage gene expression and function. Curr. Opin. Lipidol. 2003;14:459–468. doi: 10.1097/00041433-200310000-00006. [DOI] [PubMed] [Google Scholar]
- 24.Szanto A, et al. STAT6 transcription factor is a facilitator of the nuclear receptor PPARgamma-regulated gene expression in macrophages and dendritic cells. Immunity. 2010;33:699–712. doi: 10.1016/j.immuni.2010.11.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Roszer T. Understanding the mysterious M2 macrophage through activation markers and effector mechanisms. Mediat. Inflamm. 2015;2015:816460. doi: 10.1155/2015/816460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Phua T, et al. Angiopoietin-like 4 mediates colonic inflammation by regulating chemokine transcript stability via tristetraprolin. Sci. Rep. 2017;7:44351. doi: 10.1038/srep44351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Bootcov MR, et al. MIC-1, a novel macrophage inhibitory cytokine, is a divergent member of the TGF-beta superfamily. Proc. Natl Acad. Sci. USA. 1997;94:11514–11519. doi: 10.1073/pnas.94.21.11514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Chrysovergis K, et al. NAG-1/GDF-15 prevents obesity by increasing thermogenesis, lipolysis and oxidative metabolism. Int. J. Obes. 2014;38:1555–1564. doi: 10.1038/ijo.2014.27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Vishwakarma RA, Anand MT, Arya R, Vats D, Bhattacharya A. Glycosylated inositol phospholipid from Entamoeba histolytica: identification and structural characterization. Mol. Biochem. Parasitol. 2006;145:121–124. doi: 10.1016/j.molbiopara.2005.09.009. [DOI] [PubMed] [Google Scholar]
- 30.Gordon S, Martinez FO. Alternative activation of macrophages: mechanism and functions. Immunity. 2010;32:593–604. doi: 10.1016/j.immuni.2010.05.007. [DOI] [PubMed] [Google Scholar]
- 31.Junttila IS, et al. Tuning sensitivity to IL-4 and IL-13: differential expression of IL-4Ralpha, IL-13Ralpha1, and gammac regulates relative cytokine sensitivity. J. Exp. Med. 2008;205:2595–2608. doi: 10.1084/jem.20080452. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Sica A, Bronte V. Altered macrophage differentiation and immune dysfunction in tumor development. J. Clin. Investig. 2007;117:1155–1166. doi: 10.1172/JCI31422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Xu J, et al. GDF15/MIC-1 functions as a protective and antihypertrophic factor released from the myocardium in association with SMAD protein activation. Circ. Res. 2006;98:342–350. doi: 10.1161/01.RES.0000202804.84885.d0. [DOI] [PubMed] [Google Scholar]
- 34.Artz A, Butz S, Vestweber D. GDF-15 inhibits integrin activation and mouse neutrophil recruitment through the ALK-5/TGF-betaRII heterodimer. Blood. 2016;128:529–541. doi: 10.1182/blood-2016-01-696617. [DOI] [PubMed] [Google Scholar]
- 35.Weisser SB, van Rooijen N, Sly LM. Depletion and reconstitution of macrophages in mice. J. Vis. Exp. 2012;66:e4105. doi: 10.3791/4105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Feng B, et al. Clodronate liposomes improve metabolic profile and reduce visceral adipose macrophage content in diet-induced obese mice. PLoS One. 2011;6:e24358. doi: 10.1371/journal.pone.0024358. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Ying W, et al. Adipose tissue B2 cells promote insulin resistance through leukotriene LTB4/LTB4R1 signaling. J. Clin. Investig. 2017;127:1019–1030. doi: 10.1172/JCI90350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Simovic Markovic B, et al. Galectin-3 plays an important pro-inflammatory role in the induction phase of acute colitis by promoting activation of NLRP3 inflammasome and production of IL-1beta in macrophages. J. Crohn’s Colitis. 2016;10:593–606. doi: 10.1093/ecco-jcc/jjw013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Xie L, et al. Overexpression of IL-10 in C2D macrophages promotes a macrophage phenotypic switch in adipose tissue environments. PLoS One. 2014;9:e86541. doi: 10.1371/journal.pone.0086541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Oh DY, Morinaga H, Talukdar S, Bae EJ, Olefsky JM. Increased macrophage migration into adipose tissue in obese mice. Diabetes. 2012;61:346–354. doi: 10.2337/db11-0860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Sahoo A, Alekseev A, Obertas L, Nurieva R. Grail controls Th2 cell development by targeting STAT6 for degradation. Nat. Commun. 2014;5:4732. doi: 10.1038/ncomms5732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Greber BJ, et al. The complete structure of the large subunit of the mammalian mitochondrial ribosome. Nature. 2014;515:283–286. doi: 10.1038/nature13895. [DOI] [PubMed] [Google Scholar]
- 43.Chawla A. Control of macrophage activation and function by PPARs. Circ. Res. 2010;106:1559–1569. doi: 10.1161/CIRCRESAHA.110.216523. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Martinez FO, Gordon S. The M1 and M2 paradigm of macrophage activation: time for reassessment. F1000prime Rep. 2014;6:13. doi: 10.12703/P6-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Johnen H, et al. Increased expression of the TGF-b superfamily cytokine MIC-1/GDF15 protects ApoE(-/-) mice from the development of atherosclerosis. Cardiovasc. Pathol. 2012;21:499–505. doi: 10.1016/j.carpath.2012.02.003. [DOI] [PubMed] [Google Scholar]
- 46.Wang X, Chrysovergis K, Kosak J, Eling TE. Lower NLRP3 inflammasome activity in NAG-1 transgenic mice is linked to a resistance to obesity and increased insulin sensitivity. Obesity. 2014;22:1256–1263. doi: 10.1002/oby.20638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Fujita Y, Taniguchi Y, Shinkai S, Tanaka M, Ito M. Secreted growth differentiation factor 15 as a potential biomarker for mitochondrial dysfunctions in aging and age-related disorders. Geriatr. Gerontol. Int. 2016;16(Suppl 1):17–29. doi: 10.1111/ggi.12724. [DOI] [PubMed] [Google Scholar]
- 48.Montero R, et al. GDF-15 is elevated in children with mitochondrial diseases and is induced by mitochondrial dysfunction. PLoS One. 2016;11:e0148709. doi: 10.1371/journal.pone.0148709. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Koene S, et al. Serum GDF15 levels correlate to mitochondrial disease severity and myocardial strain, but not to disease progression in adult m.3243A G carriers. JIMD Rep. 2015;24:69–81. doi: 10.1007/8904_2015_436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Chung HK, et al. Growth differentiation factor 15 is a myomitokine governing systemic energy homeostasis. J. Cell Biol. 2017;216:149–165. doi: 10.1083/jcb.201607110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Kim YK, et al. Disruption of CR6-interacting factor-1 (CRIF1) in mouse islet beta cells leads to mitochondrial diabetes with progressive beta cell failure. Diabetologia. 2015;58:771–780. doi: 10.1007/s00125-015-3506-y. [DOI] [PubMed] [Google Scholar]
- 52.Mullican SE, et al. GFRAL is the receptor for GDF15 and the ligand promotes weight loss in mice and nonhuman primates. Nat. Med. 2017;23:1150–1157. doi: 10.1038/nm.4392. [DOI] [PubMed] [Google Scholar]
- 53.Hsu JY, et al. Non-homeostatic body weight regulation through a brainstem-restricted receptor for GDF15. Nature. 2017;550:255–259. doi: 10.1038/nature24042. [DOI] [PubMed] [Google Scholar]
- 54.Yang L, et al. GFRAL is the receptor for GDF15 and is required for the anti-obesity effects of the ligand. Nat. Med. 2017;23:1158–1166. doi: 10.1038/nm.4394. [DOI] [PubMed] [Google Scholar]
- 55.Emmerson PJ, et al. The metabolic effects of GDF15 are mediated by the orphan receptor GFRAL. Nat. Med. 2017;23:1215–1219. doi: 10.1038/nm.4393. [DOI] [PubMed] [Google Scholar]
- 56.Villars, F. O., Pietra, C., Giuliano, C., Lutz, T. A. & Riediger, T. Oral treatment with the ghrelin receptor agonist HM01 attenuates cachexia in mice bearing colon-26 (C26) tumors. Int. J. Mol. Sci.10.3390/ijms18050986 (2017). [DOI] [PMC free article] [PubMed]
- 57.Borner T, et al. Anorexia-cachexia syndrome in hepatoma tumour-bearing rats requires the area postrema but not vagal afferents and is paralleled by increased MIC-1/GDF15. J. Cachex. Sarcopenia Muscle. 2017;8:417–427. doi: 10.1002/jcsm.12169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Tsai VW, Lin S, Brown DA, Salis A, Breit SN. Anorexia-cachexia and obesity treatment may be two sides of the same coin: role of the TGF-b superfamily cytokine MIC-1/GDF15. Int. J. Obes. 2016;40:193–197. doi: 10.1038/ijo.2015.242. [DOI] [PubMed] [Google Scholar]
- 59.Kwon MC, et al. Crif1 is a novel transcriptional coactivator of STAT3. EMBO J. 2008;27:642–653. doi: 10.1038/sj.emboj.7601986. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Hsiao EC, et al. Characterization of growth-differentiation factor 15, a transforming growth factor beta superfamily member induced following liver injury. Mol. Cell. Biol. 2000;20:3742–3751. doi: 10.1128/MCB.20.10.3742-3751.2000. [DOI] [PMC free article] [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
Microarray data that support the findings of this study have been deposited in the NCBI Gene Expression Omnibus (GEO) database with the primary accession code GSE110771. The other data that support the findings of this study are available from the corresponding author upon reasonable request.