Differential IL18 signaling via IL18 receptor and Na-Cl co-transporter discriminating thermogenesis and glucose metabolism regulation

Zhang, Xian; Luo, Songyuan; Wang, Minjie; Cao, Qiongqiong; Zhang, Zhixin; Huang, Qin; Li, Jie; Deng, Zhiyong; Liu, Tianxiao; Liu, Cong-Lin; Meppen, Mathilde; Vromman, Amelie; Flavell, Richard A.; Hotamışlıgil, Gökhan S.; Liu, Jian; Libby, Peter; Liu, Zhangsuo; Shi, Guo-Ping

doi:10.1038/s41467-022-35256-8

Download PDF

Article
Open access
Published: 08 December 2022

Differential IL18 signaling via IL18 receptor and Na-Cl co-transporter discriminating thermogenesis and glucose metabolism regulation

Nature Communications volume 13, Article number: 7582 (2022) Cite this article

4464 Accesses
6 Citations
5 Altmetric
Metrics details

Subjects

Abstract

White adipose tissue (WAT) plays a role in storing energy, while brown adipose tissue (BAT) is instrumental in the re-distribution of stored energy when dietary sources are unavailable. Interleukin-18 (IL18) is a cytokine playing a role in T-cell polarization, but also for regulating energy homeostasis via the dimeric IL18 receptor (IL18r) and Na-Cl co-transporter (NCC) on adipocytes. Here we show that IL18 signaling in metabolism is regulated at the level of receptor utilization, with preferential role for NCC in brown adipose tissue (BAT) and dominantly via IL18r in WAT. In Il18r^−/−Ncc^−/− mice, high-fat diet (HFD) causes more prominent body weight gain and insulin resistance than in wild-type mice. The WAT insulin resistance phenotype of the double-knockout mice is recapitulated in HFD-fed Il18r^−/− mice, whereas decreased thermogenesis in BAT upon HFD is dependent on NCC deletion. BAT-selective depletion of either NCC or IL18 reduces thermogenesis and increases BAT and WAT inflammation. IL18r deletion in WAT reduces insulin signaling and increases WAT inflammation. In summary, our study contributes to the mechanistic understanding of IL18 regulation of energy metabolism and shows clearly discernible roles for its two receptors in brown and white adipose tissues.

Role of IL-18 in adipose tissue remodeling and metabolic dysfunction

Article 08 March 2024

IL-27 signalling promotes adipocyte thermogenesis and energy expenditure

Article 24 November 2021

IL-1R-IRAKM-Slc25a1 signaling axis reprograms lipogenesis in adipocytes to promote diet-induced obesity in mice

Article Open access 18 May 2022

Introduction

In humans and mice, white adipose tissue (WAT) stores excess chemical energy in the form of triglyceride, whereas brown adipose tissue (BAT) dissipates stored chemical energy in the form of heat^1,2. White adipocyte dysfunction contributes to obesity and type-2 diabetes³. Insulin signaling plays a major role in glucose uptake and lipid metabolism in mature white adipocytes⁴. Insulin signaling is essential for adipocyte differentiation and preadipocyte survival^5,6. Brown and beige adipocyte generation and recruitment in BAT or WAT contribute to energy homeostasis and protects against obesity^7,8. Immune-adipose crosstalk is essential to the activation of brown/beige adipose tissues. Studies have suggested a role for inflammatory cytokines in regulating adipose tissue thermogenesis. Interleukin-4 (IL4) and IL13 from eosinophils activate thermogenesis in the adipose tissue upon stimulation by cold and exercise^9,10. IL33 activates type-2 innate lymphoid cells and licenses uncoupled respiration to promote beige fat biogenesis and UCP1 (uncoupling protein-1) splicing by binding to its ST2 receptor^11,12,13. Recent studies showed that IL10 acted on IL10Rα to repress thermogenic gene expression in adipocytes¹⁴.

Earlier studies showed that IL18 polarizes T cells and induces IFN-γ production¹⁵. IL18 is also found in non-T cells, including adipocytes^16,17,18,19. Several studies highlighted the importance of IL18 in regulating obesity and energy homeostasis. IL18 concentrations are elevated in obese and diabetic subjects^20,21,22,23. Circulating IL18 levels correlate with bodyweight, adiposity, insulin resistance, hypertriglyceridemia, and metabolic syndrome in human and mice^24,25,26,27. Yet, IL18 deficiency in mice led to hyperphagia, obesity, insulin resistance, and decreased energy expenditure^28,29,30,31. IL18-binding protein (IL18BP) is a naturally occurred IL18 inactivator³². Similar phenotypes to those of IL18-deficient (Il18^−/−) mice were obtained from IL18BP-overexpressing mice²⁸. Exogenous IL18 administration reduced bodyweight regain, appetite, feed efficiency and induced inguinal subcutaneous fat (iWAT) browning^28,29,30. Therefore, IL18 is thought a homeostatic regulator that is elevated compensatively in obesity to oppose excess energy, analogous to insulin and adipokine leptin³⁰. Yet, this hypothesis and the possible underlying mechanisms remain uncertain. IL18 binds to IL18 receptor (IL18r) that consists of a α-chain responsible for ligand binding and a β-chain for signaling transduction³³. IL18r-deficient (Il18r^−/−) mice showed “conflicting” responses to dietary obesity and adipose tissue thermogenesis compared with the Il18^−/− mice^29,34. Global deletion of IL18r increased bodyweight in mice on a chow diet but not those on a high-fat diet (HFD)³⁴. IL18r deficiency increased lean body mass, iWAT browning, alternative macrophage activation in iWAT from mice on a HFD, but decreased energy expenditure from mice on a chow diet²⁹. These differential modulatory functions between IL18r- and IL18-deficient mice in the thermogenic program suggest additional mechanisms of IL18 signaling in adipose tissues. We reported that Na-Cl co-transporter (NCC) acts as an alternative IL18 receptor in atherogenesis³⁵. Therefore, IL18 signaling appears beyond the IL18-IL18r interaction. NCC action may explain these divergent responses in dietary obesity and adipose tissue thermogenesis between the Il18^−/− and Il18r^−/− mice.

Here we report a role for NCC- and IL18r-mediated IL18 activities in BAT thermogenesis and WAT insulin sensitivity that mitigates obesity and diabetes. IL18 uses NCC to promote BAT thermogenesis and mitochondrial gene expression, but uses IL18r in WAT to enhance glucose sensitivity and insulin signaling. We tested these hypotheses using mice with global deficiency of IL18r or NCC, combined deficiency of IL18r and NCC, BAT-selective deficiency of NCC or IL18, and WAT-selective deficiency of IL18r on a HFD or a low-fat diet (LFD). This study establishes the two coordinate axes of IL18 functions in regulating thermogenesis and insulin sensitivity and furnishes the interaction between IL18 signaling and different adipose tissue functions.

Results

Adipose tissue expression of IL18, IL18r, and NCC in response to thermogenic activation and different diets

To determine the source of IL18 and to explore IL18 actions in different adipose tissues, we performed immunoblot analyses and detected the expression of IL18, IL18r, and NCC in different adipose tissues from mice under different treatments. The specificities of antibodies against IL18, IL18r, and NCC have been previously confirmed^35,36. From mice under a LFD, IL18 and NCC were enriched in BAT, but negligibly in epididymal adipose tissue (EAT) and subcutaneous adipose tissue (SAT). Yet, the IL18r level was comparable in EAT, SAT, and BAT (Fig. 1a). The expression of IL18, IL18r, and NCC in EAT, SAT, and BAT was regulated in response to thermogenic activation and HFD. From mice treated with a β3-adrenoceptor (β3-AR) agonist CL316243 for 7 days, IL18 expression in EAT and SAT was increased, whereas IL18 expression in BAT was consistently high with or without CL316243 stimulation (Fig. 1b). IL18r was increased in EAT and NCC was significantly increased in BAT after CL316243 treatment (Fig. 1b). We detected similar expression regulation of IL18, IL18r, and NCC in adipose tissues from mice after 7 days of cold exposure at 4 °C, which acts on both β1-AR and β3-AR to activate adipose tissue thermogenesis³⁷. IL18 expression was increased in EAT and SAT and remained consistently high in BAT with or without cold stimulation. IL18r was also increased in SAT and NCC was increased in SAT and BAT after cold exposure (Supplementary Fig. 1). After mice were fed a HFD for 12 weeks, however, we found that both IL18 and IL18r were increased in EAT, IL18 was reduced in SAT, and IL18, IL18r and NCC were all reduced in BAT (Fig. 1c).

**Fig. 1: Adipose tissue expression of IL18, IL18r, and NCC in response to thermogenic activation and high-fat diet (HFD.**

Results from immunostaining yielded the same conclusions. IL18 and NCC were expressed in the multilocular beige or brown adipocytes. Their expression in EAT, SAT, and BAT was decreased when mice were on a HFD, but increased after mice received CL316243 treatment. IL18 and IL18r were found in crown-like cells in response to HFD (Fig. 1d and Supplementary Fig. 2). Differentiation of pre-adipocytes from the stromal vascular fractions (SVFs) of WAT (Fig. 1e, left) or BAT (Fig. 1e, right) increased the expression of IL18, IL18r, and NCC. To determine the cellular source of IL18, we dispersed EAT, SAT, and BAT and separated the mature adipocytes from pre-adipocytes in the SVFs. Use of RT-PCR detected IL18 mostly in the SVFs from EAT and SAT, but in mature adipocytes from BAT (Fig. 1f). We also found that HFD and CL316243 treatment led to a significant increase of plasma IL18 (Fig. 1g). Immunofluorescent staining revealed colocalization of IL18 and UCP1 in BAT, but at lower levels in SAT and negligible level in EAT from mice fed a LFD (Fig. 1h). Together, these observations suggest that the UCP1-positive brown adipocytes in BAT and beige cells in SAT are the major source of IL18. Thermogenic activation and HFD feeding alter the expression profiles and possibly activities of IL18 and its two receptors IL18r and NCC.

Combined deficiency of IL18r and NCC aggravates HFD-induced obesity and insulin resistance

Differential expression regulation of IL18r and NCC in adipose tissues (EAT, SAT, and BAT) in response to thermogenic stimulation and HFD suggests their participation in obesity and insulin resistance. To test the role and dissect the mechanism of IL18 activities in systemic metabolic homeostasis, we fed wild-type (WT), Il18r^−/−, Ncc^−/−, and Il18r^−/−Ncc^−/− littermate mice a HFD for 12 weeks. Compared with the WT mice, Il18r^−/− and Ncc^−/− mice showed significant but moderate differences in bodyweight gain, glucose tolerance test (GTT) and the AUC (area under the curve) of GTT, and insulin tolerance test (ITT) and the AUC of ITT. In contrast, the Il18r^−/−Ncc^−/− mice demonstrated the highest bodyweight gain and the worst glucose intolerance and insulin resistance (Fig. 2a). Il18r^−/−Ncc^−/− mice also showed the highest increases of EAT, SAT, and liver tissue weight, whereas Il18r^−/− mice only showed higher SAT and liver weight than those of WT mice (Fig. 2b). Single deficiency of IL18r or combined deficiency of IL18r and NCC, but not a single deficiency of NCC in mice increased energy intake (Fig. 2c) and plasma insulin and leptin levels (Fig. 2d). To assess the IL18 activity in thermogenesis, we assessed the energy expenditure in HFD-fed WT, Ncc^−/−, Il18r^−/−, and Il18r^−/−Ncc^−/− mice. Each mouse was individually housed in a metabolic chamber for 48 hrs. The consumption rate (VO₂), carbon dioxide production (VCO₂), and energy expenditure of these mice were measured. The results showed that compared with the WT control mice, Ncc^−/− and Il18r^−/−Ncc^−/− mice showed reduced full day and dark cycle VO₂ (Fig. 2e), VCO₂ (Fig. 2f), and energy expenditure (Fig. 2g) after 12 weeks of HFD. Only Il18r^−/−Ncc^−/− mice but not Ncc^−/− and Il18r^−/− mice showed significant reductions of light cycle VO₂, VCO₂ and energy expenditure (Fig. 2e–g). Histological analyses revealed bigger adipocytes in EAT, SAT, and BAT and many fewer multilocular lipid droplet-containing cells in BAT from Il18r^−/−Ncc^−/− mice than in WT mice. Adipocyte sizes were also enlarged in SAT from Il18r^−/− mice and in BAT from Ncc^−/− mice (Fig. 2h). Combined deficiency of IL18r and NCC markedly increased plasma pro-inflammatory cytokine and chemokine levels, including IL1β, IL6, MCP1, IFN-γ, and TNF-α (Fig. 2i), and Mac-3-positive macrophage numbers in EAT (Fig. 2j). Il18r^−/− mice also showed higher plasma MCP1 and TNF-α levels than WT mice. NCC deficiency did not affect any of these plasma inflammatory molecules (Fig. 2i). These findings suggest a cooperative action of IL18r and NCC in mediating the protective function of IL18 in HFD-induced obesity and insulin resistance. NCC in BAT may mediate the IL18 function in brown adipocytes and energy expenditure, whereas IL18r in WAT may be responsible for the IL18 activity in systemic inflammation.

**Fig. 2: Deficiency of IL18r and NCC aggravates obesity, insulin resistance and inflammation in mice fed a HFD.**

Divergent roles of NCC and IL18r in mediating IL18 activities in BAT and WAT

To evaluate the specific functions of IL18r and NCC in IL18 signaling, we tested whether NCC and IL18r single or combined deficiency affected adipocyte biology in different adipose tissues. We first assessed the expression of genes that are associated with lipogenesis, lipolysis, glucose metabolism, thermogenesis, and inflammation. In EAT, NCC deficiency or combined deficiency upregulated the mRNA levels of lipid metabolic genes Ap2 and Fas. IL18r deficiency or combined deficiency downregulated the expression of glucose metabolic genes Insr and Glut4. In IL18r- or NCC-deficient or IL18r/NCC combined deficient mice, the expressions of inflammatory molecules IL6, Mcp1, and Tnfα were increased. Yet, the expression of IL18r or NCC did not affect the expression of thermogenic genes Ucp1 and Pgc1α and lipolysis genes Atgl and Hsl (Fig. 3a). In SAT, the expressions of lipid metabolic genes Fas, Srebp1c, and Acc2 were increased in Il18r^−/−Ncc^−/− mice, but not in Il18r^−/− or Ncc^−/− mice. The expression of thermogenic, lipolytic, and glucose metabolic genes in SAT did not differ among the four groups of mice. The expression of inflammatory cytokine genes Tnfα and IL1β were increased in Il18r^−/−Ncc^−/− mice, but not in Il18r^−/− or Ncc^−/− mice (Fig. 3b). In BAT, NCC deficiency or combined deficiency of both receptors downregulated the expression of thermogenic genes Ucp1, Pgc1α, and Prdm16 and lipid metabolic genes Fas, Atgl, and Hsl (Fig. 3c). UCP1 immunostaining revealed significantly decreased UCP1-positive areas in BAT from NCC^−/− and Il18r^−/−Ncc^−/− mice (Fig. 3d). These observations suggest that NCC deficiency impairs lipolysis and thermogenesis in BAT but IL18r deficiency may interfere glucose metabolism and insulin signaling in EAT from HFD-induced obese mice. To test these possibilities, we examined the expression and activation of insulin signaling molecules protein kinase B (AKT) and insulin receptor β (IRβ), glucose metabolism molecules glucose transporter type-4 (GLUT4) and AMP-activated protein kinase (AMPK) in different adipose tissues from different mice. Immunoblot analyses showed that AKT, IRβ, and AMPK activation and GLUT4 expression were all significantly decreased in EAT from Il18r^−/− and Il18r^−/−Ncc^−/− mice, but not in those from Ncc^−/− mice (Fig. 3e). AKT and IRβ activations were similarly reduced in SAT from Il18r^−/− and Il18r^−/−Ncc^−/− mice, but not in SAT from Ncc^−/− mice (Fig. 3f). The expression of IL18r or NCC did not affect the expression of PPARγ in EAT or SAT (Fig. 3e,f). In contrast, the expressions of UCP1 and mitochondrial proteins cytochrome C oxidase-IV (COX IV) and cytochrome C (Cyt C) were decreased in BAT from Ncc^−/− and Il18r^−/−Ncc^−/− mice, but not in those from Il18r^−/− mice (Fig. 3g). The activation of hormone-sensitive lipase (HSL) was downregulated in BAT from Il18r^−/−Ncc^−/− mice, but not in those from single receptor-deficient mice (Fig. 3g). Interestingly, single deficiency of IL18r or NCC, or combined deficiency of IL18r and NCC all blocked the expression of PPARγ2 but not PPARγ1 in BAT (Fig. 3g). Moreover, we tested the expression of β3-AR in different adipose tissues from HFD-fed WT, Il18r^−/−, Ncc^−/−, and Il18r^−/−Ncc^−/− mice. Immunoblot analysis showed that β3-AR expression was similar in EAT and SAT among WT, Il18r^−/−, Ncc^−/−, and Il18r^−/−Ncc^−/− mice. In BAT, however, deficiency of NCC or both receptors reduced β3-AR expression (Fig. 3h). These observations support the hypothesis that NCC mediates IL18 functions in energy expenditure by regulating mitochondrial functions and thermogenesis in BAT, whereas IL18r mediates IL18 activities in glucose tolerance and insulin sensitivity by regulating insulin signaling and glucose metabolism in EAT.

**Fig. 3: Deficiency of IL18r and NCC interrupts WAT lipid metabolism, glucose metabolism, insulin signaling, and inflammation, and impairs BAT lipolysis and thermogenesis from mice fed a HFD.**

NCC but not IL18r mediates IL18 activities in thermogenesis, mitochondrial activity, and lipolysis in BAT

To confirm the role for NCC in IL18 activity in thermogenesis, we first assessed the energy expenditure in LFD-fed WT, Ncc^−/−, Il18r^−/−, and Il18r^−/−Ncc^−/− mice with or without β3-AR agonist CL316243 stimulation for 7 days³⁸. Each mouse was individually housed in a metabolic chamber for 48 hrs. Compared with those of WT control mice, Ncc^−/− and Il18r^−/−Ncc^−/− mice showed reduced full-day and light cycle oxygen consumption rate (VO₂) (Fig. 4a). Only Ncc^−/− mice but not Il18r^−/− and Il18r^−/−Ncc^−/− mice showed significant reductions of full day, light cycle, and dark cycle carbon dioxide production (VCO₂) (Fig. 4b). Ncc^−/− and Il18r^−/−Ncc^−/− mice showed significant reductions of full day, light cycle, and dark energy expenditure after CL316243 stimulation (Fig. 4c). Yet, VO₂, VCO₂, and energy expenditure did not differ among the four groups of mice without CL316243 stimulation (Supplementary Fig. 3a–c). The lean mass and fat mass did not differ between different genotypes of CL316243-treated mice (Supplementary Fig. 4a). Similar to the energy intake of HFD-fed mice, deficiency of IL18r or combined deficiency of IL18r and NCC, but not the single deficiency of NCC increased energy intake in CL316243-treated mice (Supplementary Fig. 4b). Interestingly, the ambulatory activity was lower in Ncc^−/− mice and higher in Il18r^−/− mice than WT mice after CL316243 stimulation (Supplementary Fig. 4c). Morphological analyses and UCP1 immunostaining revealed significantly enlarged multilocular lipid droplets and reduced UCP1-positive areas in BAT from Ncc^−/− and Il18r^−/−Ncc^−/− mice, compared with those from WT control mice. Such changes did not occur in EAT and SAT. In contrast, Il18r^−/− mice had comparable adipocyte size and UCP1-positive area to those of WT mice in BAT, EAT, and SAT (Fig. 4d and Supplementary Fig. 4d,e).

**Fig. 4: Impaired energy expenditure, and decreased lipolysis and mitochondrial activity in BAT from *Ncc*^−/− and *Il18r*^−/−*Ncc*^−/− mice in response to CL316243.**

Immunoblot analysis yielded the same conclusion. The expression of thermogenic gene UCP1 in BAT from Ncc^−/− and Il18r^−/−Ncc^−/− mice, but not that from Il18r^−/− mice reduced significantly, compared with that from WT control mice, although the expression of the mitochondrial thermogenic gene PGC1α was decreased only in BAT from Il18r^−/−Ncc^−/− mice (Fig. 4e). Consistent with these results, BAT from Ncc^−/− and Il18r^−/−Ncc^−/− mice exhibited decreased mRNA levels of thermogenic genes Ucp1, Pgc1α, Elovl3, and Prdm16 (Fig. 4f). Such differences did not occur in SAT or EAT (Supplementary Fig. 4f–g). Results from RT-PCR showed that very few thermogenic genes (Pgc1α, Prdm16), beige adipocyte progenitor gene (Pdgfrα), beige adipocyte markers (CD137, Cited1) (Supplementary Fig. 4f) in EAT, and beige adipocyte marker (Cited1) (Supplementary Fig. 4g) in SAT were decreased in Ncc^−/− or/and Il18r^−/−Ncc^−/− mice.

Expansion of mitochondrial respiration in brown adipocytes after thermogenic activation was accompanied by an increase of lipid turnover, lipolysis, and de novo lipogenesis^39,40. After CL316243 activation, the expression of mitochondrial genes ATPase, Cox2, Cox8b, and Cytc (Fig. 4f) and mitochondrial DNA contents (Fig. 4g) decreased in BAT from Ncc^−/− and Il18r^−/−Ncc^−/− mice, but not in those from Il18r^−/− mice. There were no significant changes in mitochondrial gene expressions in EAT (Supplementary Fig. 4f) and SAT (Supplementary Fig. 4g) from these mice. Immunoblot analyses showed that the activation of HSL, a critical lipolytic enzyme, and expression of mitochondrial Cyt C were significantly reduced in BAT from Ncc^−/− and Il18r^−/−Ncc^−/− mice, compared with those from WT control mice. Such reductions in BAT from Il18r^−/− mice did not reach statistical significance (Fig. 4h). RT-PCR showed that the mRNA levels of lipolysis genes Atgl, Hsl and lipogenesis gene Fas were decreased only in BAT from Il18r^−/−Ncc^−/− mice (Fig. 4f).

M2 macrophage recruitment⁴¹, type-2 cytokine signaling⁹, Stat6/Pten axis in regulatory T cells (Treg)⁴², and Zbtb16 expression in PLZF-positive γδ T cells⁴³ all have been implicated in the activation of BAT thermogenesis and WAT browning. RT-PCR detected whether the decreases in thermogenesis in Ncc^−/− and Il18r^−/−Ncc^−/− mice might affect the responses of these immune cells in different adipose tissues. BAT from Ncc^−/− or Il18r^−/−Ncc^−/− mice, but not Il18r^−/− mice showed lower levels of M2 markers Arg1, Mrc1, Clec10a than those of WT control mice. Yet the expressions of eosinophil marker Siglec-F, and type-2 cytokines IL4 and IL13 did not differ among the groups (Fig. 4f). Il18r^−/−Ncc^−/− mice also showed decreased eosinophil marker Siglec-F, and type-2 cytokines IL4 and IL13 in EAT (Supplementary Fig. 4f) and M2 marker Clec10a in SAT (Supplementary Fig. 4g). The expressions of Treg and γδ T-cell functional molecules Pten, Stat6, Zbtb16 did not differ significantly in EAT and SAT (Supplementary Fig. 4f,g) among these different types of mice. These observations suggest that NCC played a dominant role in IL18 regulation of thermogenesis in BAT. NCC deficiency impairs thermogenic activity and decreases lipolysis, mitochondrial activity, and M2 macrophage recruitment in BAT.

IL18 uses NCC in brown adipocytes for thermogenesis and IL18r in white adipocytes for insulin signaling

To study the mechanisms by which IL18 regulates thermogenesis in brown adipocytes and insulin sensitivity in white adipocytes, we added recombinant IL18 to cultured mouse brown and white adipocytes. Pre-adipocytes in SVFs from WAT (Supplementary Fig. 5a) and BAT (Supplementary Fig. 5b) from WT, Il18r^−/−, Ncc^−/−, and Il18r^−/−Ncc^−/− mice did not differ in adipogenesis, as assessed by oil-red O staining. In cultured white adipocytes, 10 and 100 ng/mL IL18 induced IL18r expression by 2-fold, but displayed no activity on NCC expression (Fig. 5a). IL18 enhanced the activation of insulin-induced AKT and IRβ in these white adipocytes (Fig. 5b). White adipocytes from Il18r^−/− and Il18r^−/−Ncc^−/− mice, but not those from Ncc^−/− mice, showed decreased activations of insulin-induced AKT and IRβ, compared with cells from WT mice (Fig. 5c). IL18 also induced glucose (2-NBDG: 2-[N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl) amino]-2-deoxy-D-glucose) uptake with or without insulin activation in WT white adipocytes. Such activity of IL18 was compromised in white adipocytes from Il18r^−/− and Il18r^−/−Ncc^−/− mice, but not Ncc^−/− mice (Fig. 5d). However, IL18 did not affect glucose uptake in brown adipocytes from WT, Il18r^−/−, Ncc^−/−, or Il18r^−/−Ncc^−/− mice with or without insulin (Supplementary Fig. 5c). These observations suggest that IL18r, but not NCC dominates the IL18 activity in regulating insulin signaling and glucose uptake in white adipocytes. Immunoprecipitation of white adipocyte lysate from WT mice with anti-IL18r and anti-NCC antibodies followed by IRβ immunoblot analysis demonstrated that pro-IR and IRβ preferentially formed immunocomplexes with the IL18r, but not NCC (Fig. 5e). Immunofluorescent double staining confirmed the colocalization of IL18r and IRβ in epididymal adipocytes (Fig. 5f). Therefore, IL18 may activate insulin signaling by forming the IL18r-IRβ immunocomplexes in white adipocytes.

**Fig. 5: IL18 mediates thermogenesis through NCC in brown adipocytes and insulin signaling through IL18r in white adipocytes.**

β-Adrenergic stimulation of brown adipocytes triggers thermogenesis by activating the cAMP-dependent protein kinase (cAMP/PKA) pathway⁴⁴. To examine whether IL18 synergizes this cAMP signaling pathway as a mechanism to stimulate the thermogenesis in brown adipocytes, we assessed the cAMP expression and PKA activation in IL18-treated brown adipocytes. IL18 did not affect these variables in brown adipocytes from WT, Il18r^−/−, Ncc^−/−, and Il18r^−/−Ncc^−/− mice. Only the PKA activity inhibitor H89 decreased the cAMP level in cells from WT mice (Supplementary Fig. 5d,e). Therefore, IL18 may not use the cAMP pathway to stimulate thermogenesis in brown adipocytes. In brown adipocytes, IL18 significantly increased the expression of Ucp1 and Pgc1α after browning differentiation. Single deficiency of NCC, or combined deficiency of IL18r and NCC, but not the single deficiency of IL18r blocked this IL18 activity (Fig. 5g,h). Consistent with these results, cellular respiration seahorse assay demonstrated that IL18 elevated the extracellular oxygen consumption rate (OCR) in WT brown adipocyte, especially the β-adrenergic activator isoproterenol-stimulated uncoupled respiration (Fig. 5i). Brown adipocytes from Ncc^−/− and Il18r^−/−Ncc^−/− mice, but not those from Il18r^−/− mice, showed decreased levels of IL18-induced uncoupled respiration (Fig. 5j). IL18 at 100 ng/mL increased the expression of lipolysis genes Atgl and Hsl in brown adipocytes by RT-PCR (Fig. 5k). IL18 also elevated glycerol release by ELISA (Fig. 5l) and HSL phosphorylation and ATGL expression (Fig. 5m) by immunoblot analysis in brown adipocytes after isoproterenol treatment. Single deficiency of NCC and combined deficiency of IL18r and NCC, but not the single deficiency of IL18r blunted the isoproterenol-induced lipolytic activity (Fig. 5l), HSL phosphorylation, and ATGL expression (Fig. 5n). Human brown adipocytes acted the same as mouse brown adipocytes. Human pre-adipocytes from two donors were induced to brown adipocytes. Recombinant human IL18 at 10 or 100 ng/mL also elevated Ucp1 expression in differentiated human brown adipocytes (Fig. 5o). These observations suggest that NCC mediates the IL18 activity in thermogenesis, but both IL18r and NCC are required for IL18-controled lipolysis in brown adipocytes. This conclusion is consistent with the observations in BAT from HFD-fed (Fig. 3c–g) and CL316243-treated mice (Fig. 4f–h).

BAT-selective depletion of IL18 or NCC impairs thermogenesis

IL18 and NCC are primarily expressed in BAT in mice on a LFD (Fig. 1a). To test a role for IL18 and NCC in BAT in controlling obesity and glucose intolerance in response to HFD and thermogenic stimulation, we selectively depleted IL18 or NCC in UCP1-expressing brown and beige adipocytes by crossbreeding the Ucp1^Cre mice with the Il18^fl/fl or Ncc^fl/fl mice to generate Il18^fl/flUcp1^Cre and Ncc^fl/flUcp1^Cre mice. Immunoblot and RT-PCR analyses affirmed the blunted IL18 expression in BAT from Il18^fl/flUcp1^Cre mice compared with that in Il18^fl/fl mice. IL18 expression in other tissues such as SAT, liver, and kidney was nearly undetectable (Supplementary Fig. 6a, b). To assess the role of BAT-derived IL18 in HFD-induced obesity and insulin resistance, we fed Il18^fl/flUcp1^Cre and Il18^fl/fl mice a HFD for 12 weeks. Il18^fl/flUcp1^Cre mice gained more bodyweight, and showed worse glucose tolerance and insulin resistance than the Il18^fl/fl control mice (Fig. 6a). Tissue analyses revealed that HFD-fed Il18^fl/flUcp1^Cre mice had higher BAT mass than that of the Il18^fl/fl mice (Fig. 6b). HFD-fed Il18^fl/flUcp1^Cre mice also showed increased weekly HFD energy intake (Fig. 6c). H&E staining and UCP1 immunostaining characterized BAT lipid droplet sizes and thermogenesis in Il18^fl/flUcp1^Cre mice. BAT from Il18^fl/flUcp1^Cre mice showed larger lipid droplets (Fig. 6d) and smaller UCP1-positive areas (Fig. 6e) than those in BAT from the Il18^fl/fl mice. Such differences in lipid droplets did not appear in EAT and SAT from Il18^fl/flUcp1^Cre and Il18^fl/fl mice (Supplementary Fig. 6c). RT-PCR and immunoblot analyses revealed decreased expression of thermogenic markers Ucp1, Pgc1α, Prdm16, and Cidea, lipogenic and lipolytic markers Fas, Atgl, and Hsl, and mitochondrial genes ATPase, Cox2, Cox8b, and Cytc in BAT from Il18^fl/flUcp1^Cre mice (Fig. 6f, g). BAT-selective depletion of IL18 also affected the responses of Il18^fl/flUcp1^Cre mice to thermogenic activation from β3-AR agonist. Although CL316243 treatment for 7 days did not affect bodyweight or tissue weight (Supplementary Fig. 6d, e) between the Il18^fl/flUcp1^Cre and Il18^fl/fl mice, H&E staining and UCP1 immunostaining revealed significantly larger lipid droplets and smaller UCP1-positive area in BAT from Il18^fl/flUcp1^Cre mice than those from Il18^fl/fl mice (Fig. 6h,i). H&E staining did not reveal lipid droplet size differences in EAT and SAT from CL316243-treated Il18^fl/flUcp1^Cre and Il18^fl/fl mice (Supplementary Fig. 6f), but immunoblot and RT-PCR analyses revealed decreased expression of thermogenic, lipogenic, lipolytic, and mitochondrial genes, including Ucp1, Pgc1α, Prdm16, Fas, Atgl, ATPase, and Cytc in BAT from Il18^fl/flUcp1^Cre mice (Fig. 6j,k). These observations indicate that IL18 in BAT maintains the thermogenic homeostasis and protects mice from obesity and insulin resistance.

**Fig. 6: BAT-selective IL18 depletion in *Il18*^fl/flUcp1^Cre mice exacerbates obesity and insulin resistance and impairs BAT thermogenesis.**

Depletion of Ncc expression in UCP1-positive brown and beige adipocytes from Ncc^fl/flUcp1^Cre mice under a HFD was confirmed by RT-PCR. Compared with that in Ncc^fl/fl control mice, Ncc expression was blunted in BAT from Ncc^fl/flUcp1^Cre mice. Low level of Ncc expression in SAT, likely from beige cells from Ncc^fl/flUcp1^Cre mice was also blocked (Supplementary Fig. 7a). After 12 weeks on a HFD, Ncc^fl/flUcp1^Cremice gained more bodyweight, showed worse glucose intolerance and insulin resistance (Fig. 7a) and had higher EAT and BAT masses (Fig. 7b) than Ncc^fl/fl control mice, but these two groups of mice had comparable weekly energy intake (Fig. 7c). H&E staining showed that SAT but not EAT or BAT from Ncc^fl/flUcp1^Cre mice had larger lipid droplets than those in Ncc^fl/fl mice (Fig. 7d). UCP1 immunostaining showed that SAT and BAT from Ncc^fl/flUcp1^Cre mice had smaller UCP1-positive areas (Fig. 7e) than Ncc^fl/fl control mice, consistent to the blunted Ncc expression in BAT and SAT from Ncc^fl/flUcp1^Cre mice (Supplementary Fig. 7a). The expression of thermogenic markers Ucp1 and Pgc1α, lipolytic markers Atgl, and Hsl, and mitochondrial genes ATPase, Cox2, and Cytc was reduced in BAT from Ncc^fl/flUcp1^Cre mice by RT-PCR and immunoblot analyses (Fig. 7f–g). BAT-selective depletion of NCC also increased the expression of lipogenic gene Ap2 and inflammatory cytokines IL6, Mcp1, and IL1β in EAT and decreased the expression of lipolytic markers Atgl, and Hsl in EAT and Ucp1 in SAT (Supplementary Fig. 7b, c). Yet, most of the lipogenesis and glucose metabolism genes in EAT (Supplementary Fig. 7b) and SAT (Supplementary Fig. 7c), and AKT and IRβ activation in WAT (Supplementary Fig. 7d) were not affected by NCC depletion in BAT. FACS analyses revealed significantly fewer eosinophils in SAT (Fig. 7h), and M2 macrophages in EAT and SAT, but more total macrophages in EAT, SAT, and BAT, and M1 macrophages in EAT and SAT from Ncc^fl/flUcp1^Cre mice than those in Ncc^fl/fl control mice after 12 weeks of a HFD (Fig. 7i). Yet, NCC depletion in BAT showed moderate impact on T cells. Only Th2 cells decreased in SAT and Th17 cells increased in EAT and SAT from Ncc^fl/flUcp1^Cre mice. Total CD8⁺ T cells, CD4⁺ T cells, and Tregs were not affected (Supplementary Fig. 8a–e). IL18 signaling is known to activate eosinophils, macrophages, and T cells^15,35,45. To assess whether reduced eosinophils in SAT and changes of macrophages in EAT, SAT, and BAT from Ncc^fl/flUcp1^Cre mice were due to NCC depletion in BAT or secondary to the increased body weight gain, glucose intolerance, and insulin resistance in these mice, we measured the eosinophil, total macrophage, M1 and M2 macrophage, total CD4⁺ and CD8⁺ T-cell, Th1, Th2, Th17, and Treg cell counts in EAT, SAT, and splenocytes from Ncc^fl/flUcp1^Cre and Ncc^fl/fl mice under a LFD. The results showed that NCC depletion in BAT did not affect any of these cells in SAT, EAT, and spleens from these mice (Supplementary Fig. 9a–e), although we did not perform the same analysis in BAT due to their small tissue size and low inflammatory cell frequency. The gating strategies to detect adipose tissue and splenic macrophages, eosinophils, CD4⁺ and CD8⁺ T cells, Th1, Th2, Th17 T cells, and Treg are shown in Supplementary Fig. 10a–e.

**Fig. 7: BAT-selective NCC depletion in *Ncc*^fl/flUcp1^Cre mice exacerbates obesity and insulin resistance and impairs thermogenesis in HFD-fed mice.**

Impaired thermogenesis and energy expenditure in Ncc^fl/flUcp1^Cre mice were tested by treating mice with CL316243 for 7 days. Under this treatment, Ncc^fl/flUcp1^Cre mice showed decreased VO₂, VCO₂, and energy expenditure (Fig. 8a–c). H&E staining and UCP1 immunostaining revealed significantly larger lipid droplets in EAT (Fig. 8d) and smaller UCP1-positive area in SAT and BAT (Fig. 8e) from Ncc^fl/flUcp1^Cre mice than those from Ncc^fl/fl mice. RT-PCR and immunoblot analyses also demonstrated decreased expression of thermogenic, lipogenic, lipolytic, and mitochondrial genes, including Ucp1 in EAT, Ucp1, Fas, and Atgl in SAT, Ucp1, Pgc1α, Fas, Atgl, Hsl, ATPase, Cox2, Cox8b, and Cytc in BAT from Ncc^fl/flUcp1^Cre mice after CL316243 treatment (Fig. 8f–g). In addition to treat mice with CL316243 for 7 days, we also housed mice under a thermoneutral temperature (30 °C) for 7 days⁴⁶ and obtained the same observations. Ncc^fl/flUcp1^Cre mice showed significantly lower VO₂, VCO₂, and energy expenditure than those of Ncc^fl/fl mice (Supplementary Fig. 11a–c). These observations suggest that the IL18-NCC signaling in brown and beige adipocytes mitigates obesity, insulin resistance, and adipose inflammation by maintaining the thermogenic homeostasis.

**Fig. 8: BAT-selective NCC depletion in *Ncc*^fl/flUcp1^Cre mice impairs thermogenesis in response to CL316243.**

Adipocyte-selective depletion of IL18r impairs glucose metabolism and insulin signaling

To test a role for IL18r signaling from WAT adipocytes in controlling obesity and glucose intolerance, we bred the Adipoq^Cre mice with the Il18r^fl/fl mice to generate adiponectin-positive adipocyte-selective IL18r-deficient Il18r^fl/flAdipoq^Cre mice. RT-PCR verified the IL18r depletion in WAT and BAT from Il18r^fl/flAdipoq^Cre mice (Supplementary Fig. 12a). We fed Il18r^fl/flAdipoq^Cre and Il18r^fl/fl mice a HFD for 12 weeks to induce obesity. Compared with the Il18r^fl/fl mice, Il18r^fl/flAdipoq^Cre mice displayed higher bodyweight gain, glucose intolerance, and insulin resistance (Fig. 9a) and more EAT masses (Fig. 9b), although the weekly energy intake did not differ (Fig. 9c). Il18r^fl/flAdipoq^Cre also showed larger lipid droplets in SAT by H&E staining (Fig. 9d), increased lipogenic genes Pparγ, Srebp1c, Acc1, and Acc2, and decreased glucose metabolic gene Glut4 in EAT (Fig. 9e), and increased lipogenic genes Pparγ, and Srebp1c, and inflammatory cytokines Mcp1 and Tnfα, and decreased glucose metabolic gene Glut4 in SAT (Fig. 9f) by RT-PCR, with decreased AKT activation in WAT by immunoblot analysis (Fig. 9g). However, adipocyte sizes in EAT and BAT (Fig. 9d), UCP1-positive areas in all adipose tissues (Supplementary Fig. 12b), and thermogenic genes in BAT (Supplementary Fig. 12c) did not differ between these mice. FACS analysis showed that adipocytes-selective depletion of IL18r also reduced eosinophil and M2 macrophage contents in SAT (Fig. 9h,i), and increased total and M1 macrophages in EAT (Fig. 9i). In addition, IL18r-selective depletion in adipocytes increased Th1, and decreased Th2 number in SAT from mice fed on a HFD, without affecting total CD8⁺ and CD4⁺ T cells, Th17 and Treg cells in all types of adipose tissues (Supplementary Fig. 12d–h). Eosinophils, total macrophages or M1 and M2 macrophages, total CD8⁺ and CD4⁺ T cells, Th1, Th2, Th17 and Treg cells in EAT, SAT, and spleens from Il18r^fl/flAdipoq^Cre mice did not differ from those from Il18r^fl/fl mice on a LFD (Supplementary Fig. 13a–e). Together, these observations suggest that IL18-IL18r signaling in WAT adipocytes protects mice from obesity, insulin resistance and adipose inflammation by maintaining the homeostatic glucose metabolism and insulin signaling.

**Fig. 9: Adipocyte-selective depletion of IL18r impairs white adipocyte glucose metabolism and insulin signaling and exacerbates obesity and insulin resistance.**

Discussion

IL18 activities in obesity and diabetes have been reported but studies remain observational and controversial^{28,29,30,31,34}. Paradoxical observations suggest the complexity of IL18 functions in adipose tissue energy metabolism. For example, after long-term cold exposure, UCP1 expression in BAT did not differ among WT, Il18^−/−, and Il18r^−/− mice, but UCP1 expression was significantly reduced in iWAT from Il18^−/− mice and increased in iWAT from Il18r^−/− mice²⁹, suggesting that different mechanisms regulate the IL18 functions in BAT and iWAT. Recent discovery of an alternative IL18 receptor NCC helped address many of these similar paradoxical observations regarding the pro-inflammatory functions of IL18 in cardiovascular diseases³⁵. As we summarized in Fig. 10, here we report the beneficial but divergent roles of IL18 in thermogenesis and in glucose metabolism and insulin sensitivity, although both activities of IL18 led to the same reduced obesity, glucose intolerance, and insulin resistance in mice on a HFD. These functions of IL18 are mediated by IL18r and NCC in different adipose tissues. NCC dominantly regulates the role of IL18 in thermogenesis in UCP1-positive brown and beige adipocytes, whereas IL18r mediates the role of IL18 in glucose metabolism and insulin signaling in adiponectin-expressing adipocytes. These findings establish a regulatory link between inflammatory signaling and adipocyte metabolism and suggest that the IL18 signaling from NCC and IL18r in different adipose tissues (Fig. 10) represents distinct therapeutic approaches to protect against thermogenesis-defect-associated energy expenditure and obesity and insulin signaling defect-associated diabetes.

**Fig. 10: The proposed mechanisms for IL18 signaling-regulated thermogenesis and glucose metabolism in adipose tissues.**

The relationships among the immune system, adipocytes, and systemic metabolism can be sophisticated. Prior studies showed paradoxical increases in obesity and insulin resistance, and decrease in thermogenesis in mice deficient in pro-inflammatory IL6^47,48, and development of obesity and metabolic syndrome upon depletion of anti-inflammatory IL10¹⁴. IL18 accelerates atherogenesis by binding to NCC and IL18r on vascular smooth muscle cells, endothelial cells, and macrophages^35,49. Yet, IL18 reduces bodyweight gain and insulin resistance and increases energy homeostasis^25,28,31. The roles of IL18 in cardiovascular diseases and metabolic diseases are fully opposite. NCC inhibitor hydrochlorothiazide reduces atherosclerotic lesion growth and lesion inflammatory cell contents in Apoe^−/−Il18r^−/− mice³⁵. Yet clinical studies showed that the same NCC inhibitor contributes to the comorbidities of obesity and metabolic syndrome. These clinical observations have remained mysterious^50,51,52. Results from our study suggest that these adverse effects from hydrochlorothiazide-treated patients are associated with IL18 signaling defect in brown and beige adipocytes.

The same cytokine pathways may exert different pathophysiological effects depending on the source of the cytokine, the duration of the exposure, and the responding cell types. We proposed the possibilities that IL18 activates the insulin signaling via the interaction between IL18r and IRβ in white adipocytes and activates PGC1α and mitochondrial respiration primarily through the NCC in brown and beige adipocytes (Fig. 10). Previous reports showed that IL18 activates the toll-like receptor signaling cascade, leading to the activation of the NF-κB pathway and the production of inflammatory cytokines⁵³. IL18 also activates MAP kinase, PI3-kinase, and STAT3 pathways⁵⁴. IL18 enhances AMPK signaling and lipid oxidation in skeletal muscle³⁴. These pathways may also contribute to the metabolic consequences of IL18r or/and NCC depletions. PPARγ is an adipocyte-predominant transcription factor that regulates adipogenesis, lipid metabolism, cell proliferation, inflammation and insulin sensitization⁵⁵. Both forms of PPARγ1 and PPARγ2 are essential for the development of adiposity and control of insulin sensitivity⁵⁶. In this study, we demonstrated that PPARγ2 expression was decreased in BAT from HFD-fed IL18r or NCC single deficient mice, or combined deficient mice. It is possible that mutation of the IL18 signaling decreased the expression or activity of PPARγ2, thereby suppressing the mitochondrial respiration and lipolysis in BAT, a hypothesis that has not been explored in this study. It was reported that mice lacking the NLRP1 inflammasome showed reduced VAT IL18 production and lipolysis, leading to obesity and metabolic syndrome. NLRP1 activation increased plasma IL18 levels, decreased adiposity. And mice were resistant to diet-induced metabolic dysfunction⁵⁷. Here, we showed that BAT-selective depletion of IL18 or NCC reduced BAT thermogenesis and lipolysis, and increased HFD-induced obesity and metabolic syndrome. In vitro, IL18 elevated the brown adipocyte extracellular oxygen consumption rate (OCR) and thermogenesis gene expression by activating isoproterenol-stimulated uncoupled respiration and lipolysis.

Deficiency of IL18 or IL18r in mice leads to hyperphagia^28,30,31. We obtained similar observations. Global deficiency of IL18r or combined deficiency of NCC and IL18r increased mouse energy intake. Consistent with this observation, BAT-selective depletion of IL18 also increased mouse energy intake. Surprisingly, BAT-selective NCC depletion or WAT-selective depletion of IL18r did not affect mouse energy intake. These observations suggest that BAT-derived IL18 is essential to energy intake, but this activity of IL18 does not involve NCC or IL18r in adipose tissues. It is possible that BAT-derived IL18 is functionally linked to the hypothalamus as part of the interactions with the central nervous system (CNS) to maintain the metabolic homeostasis. Changes of IL18 expression in the periphery BAT may provide a feed-back signal to the CNS to control body energy expenditure or storage as leptin does⁵⁸. The existence of such a loop between the hypothalamic neuropeptide Y and BAT-derived IL18 in response to obesity and thermogenic activation is plausible and merits further investigation.

Together, the observations from this study suggest that IL18 is a brown adipokine that is sensitive to thermogenic activation and HFD feeding. IL18 signaling with its two receptors NCC and IL18r is required for the maintenance of adipose tissue homeostasis. IL18 promotes BAT thermogenesis predominantly through NCC and maintains glucose sensitivity and insulin signaling through IL18r, thereby mitigating metabolic disorders. These findings not only reinforce the role of IL18 axes in regulating thermogenesis and insulin sensitivity but also advance our understanding the complexity of the link between immune signaling and adipose tissue function. Target of IL18 axis activity may become an attractive therapeutic strategy for obesity and diabetes.

Methods

All animal procedures conformed to the Guide for the Care and Use of Laboratory Animals published by the US National Institutes of Health and was approved by the Brigham and Women’s Hospital Standing Committee on Animals (protocol #2016N000442).

Use of discarded and de-identified human adipose tissues (obtained from the tissue bank of the Department of Surgery, Brigham and Women’s Hospital), was approved by the Partners Human Research Committee, Protocol# 2010P001930.

Mice and indirect calorimetry

WT (000664, C57BL/6, The Jackson Laboratory, Bar Harbor, ME), Il18r^−/− (004131, C57BL/6.129, The Jackson Laboratory), and Ncc^−/− mice (C57BL/6)³⁵ were crossbred to generate the WT, Il18r^−/−, Ncc^−/−, and Ncc^−/−Il18r^−/− mice. Ucp1^Cre mice (024670, C57BL/6, The Jackson Laboratory) and Il18^fl/fl mice⁵⁹ or Ncc^fl/fl (C57BL/6, produced from Cyagen Biosciences Inc, Santa Clara, CA) were crossbred to generate Il18^fl/flUcp1^Cre and Il18^fl/fl control mice or Ncc^fl/flUcp1^Cre and Ncc^fl/fl control mice. Il18r^fl/fl mice^59,60 were crossed with the Adipoq^Cre mice (028020, C57BL/6, The Jackson Laboratory) to generate the Il18r^fl/flAdipoq^Cre and Il18r^fl/fl control mice. All mice had the same genetic background. All mouse experiments were performed using their male littermates based on their availability from crossbreeding. Mice were housed in ventilated cages in a pathogen-free barrier facility that was maintained at 22 ± 2 °C and with a 12-h light-12-h dark cycle, and free to access autoclaved water and irradiated food throughout the study. Six-week-old male mice consumed a HFD (D12492, Research Diets Inc., New Brunswick, NJ) for 12 weeks to develop obesity and insulin resistance. Mouse bodyweight and energy intake was monitored weekly. Mice at 12-week-old were i.p. injected with or without 1 mg/day/kg CL316243 (1499, TOCRIS, Minneapolis, MN), a β3-AR agonist, for 7 days, 4 °C exposure for 7 days, or housed at thermoneutral temperature 30 °C for 7 days. For indirect calorimetry, mice were acclimated to a Columbus Instruments Oxymax Comprehensive Lab Animal Monitoring System (CLAMS) for 2 days. O₂ consumption (VO₂), CO₂ production (VCO₂), and energy expenditure (EE: [VO₂*CVO₂ + VCO₂*CVCO₂]/1000) were continuously monitored during the next 48 hrs at ambient room temperature (21–23 °C). CVO₂ and CVCO₂ are thermal equivalent of O₂ and CO₂, and preset parameter as 3.9410 and 1.1060 in CLAMS. We used CalR (https://calrapp.org/) to analysis VO₂, VCO₂, and EE followed the most current analysis protocols. After 12 weeks on an HFD or metabolic rate measurement, mice were euthanized by CO₂, and the plasma, liver, and adipose tissue were collected, including EAT, SAT, and BAT.

Glucose tolerance test (GTT) and insulin tolerance test (ITT)

Mouse GTT was performed after 16 hrs of fasting and ITT was performed after 4 hrs of fasting. In brief, mice were i.p. injected with D-glucose (1 g/kg bodyweight, G7021, Sigma-Aldrich, St. Louis, MO) for GTT or with insulin (1.5 IU/kg bodyweight, NDC 0169-1833-11, NOVOLIN, Wellington, FL) for ITT. Blood glucose levels were measured from tail veins using a blood glucose meter (Bayer Healthcare LLC, Mishawaka, IN) at 0, 15, 30, 45, 60, 90, and 120 min after injection.

Histology analysis

Adipose tissues were fixed in 4% formalin, embedded in paraffin, and serially sliced into 6 μm thickness. For histological characterizations, adipose tissue paraffin sections were used for hematoxylin (GHS316, Sigma-Aldrich) & eosin (HT110116, Sigma-Aldrich) staining. Five random fields from each section were examined, and adipocyte average area was quantified using the Image-Pro Plus software (Media Cybernetics, Bethesda, MD).

For immunohistochemical analysis, mouse paraffin sections were deparaffinized, rehydrated, and incubated with the following primary antibodies: rabbit anti-IL18, goat anti-IL18r, rabbit anti-NCC, mouse anti-UCP1, and rat anti-Mac-3, followed by appropriate biotin-conjugated secondary antibodies and HRP-streptavidin. All antibody dilution, catalog number, and vendor information are listed in Supplementary Table 1. After detection with AEC chromogenic agent (K3464, DAKO), slides were counterstained with hematoxylin. Representative images were acquired with a Leica DM 1000 LED microscope. The UCP1 and Mac-3-positive areas in five random fields in each section were determined by detecting the staining intensity with Image-Pro Plus and data were presented as positive area percent.

For immunofluorescent co-localization analyses, adipose tissue paraffin sections were sequentially stained with rabbit anti-IL18 and mouse anti-UCP1 antibodies, or goat anti-IL18r and mouse anti-IRβ antibodies, followed by Alex Fluor 555- or 488-labeled secondary antibody detections. Slides were counterstained with DAPI (R37606, Invitrogen, Carlsbad, CA), and images captured with a confocal microscopy (Olymbus Fluoview FV1000; Olymbus).

Immunoblot analysis and immunoprecipitation

For immunoblot analysis, an equal amount of proteins extracted from different adipose tissues or primary cells were separated on SDS-PAGE, blotted, and detected with the following primary antibodies: rabbit anti-IL18, goat anti-IL18r, rabbit anti-NCC, mouse anti-UCP1, rabbit anti-PGC1α, rabbit anti-ATGL, rabbit anti-β3-AR, goat anti-GLUT4 and mouse anti-PPARγ, and rabbit anti-pAMPK, rabbit anti-AMPK, rabbit anti-pHSL, rabbit anti-HSL, rabbit anti-COX IV, rabbit anti-Cyt C, rabbit anti-pAKT, rabbit anti-AKT, rabbit anti-pIRβ, mouse anti-IRβ, rabbit anti-pPKA, rabbit anti-PKA, rabbit anti-GAPDH, and rabbit anti-β-actin antibodies, followed by appropriate HRP-conjugated secondary antibodies. All antibody dilution, catalog number, and vendor information are listed in Supplementary Table 1.

For immunoprecipitation, primary cultured epididymal pre-adipocytes were isolated and differentiated to mature adipocytes. Cells were lysed in an immunoprecipitation lysis buffer (0.025 M Tris, 0.15 M NaCl, 0.001 M EDTA, 1% NP-40, 5% glycerol; pH 7.4). Equal amounts of cell lysates (0.25 mg) were subsequently incubated overnight at 4 °C with goat anti-IL18r antibody (10 μg, AF587, R&D Systems), rabbit anti-NCC antibody (10 μg, AB3553, Millipore), or IgG isotype control antibody (goat IgG isotype control antibody, 10 μg, 02-6202, Thermo Fisher Scientific), or rabbit IgG isotype control antibody (10 μg, 02-6102, Thermo Fisher Scientific). The antibody-antigen complexes were captured, washed and eluted according to the manufacturer’s instructions (26149, Thermo Fisher Scientific). Immunoprecipitates were then resolved in SDS under reducing condition with 5 µg input protein of the whole cell lysate, and followed by immunoblotting with mouse anti-IRβ antibody (1:1000, 3020, Cell Signaling Technology) to detect the immunocomplexes.

Real-time PCR

Total RNA was extracted from adipose tissues or primary cells using the Trizol reagent (15596018, Invitrogen), and then reverse transcribed to cDNA using the high-capacity cDNA reverse transcriptase (4368813, Invitrogen) according to manufacturer’s protocol. Real-time PCR was analyzed using SYBR green dye (1725125, Bio-Rad, Hercules, CA) in a Bio-Rad MyiQ2 Real-time PCR System. Data were processed using the ∆∆CT method when GAPDH was used as the reference gene. All primer sequences used in this study were listed in the Supplementary Table 2.

Plasma insulin, leptin, and inflammatory cytokines measurement

The plasma levels of IL18 (BMS618-3, Invitrogen), insulin (90080, Crystal Chem, Elk Grove Village, IL), leptin (RD291001200R, BioVendor, Asheville, NC), IL1β (88-7013-22), TNF-α (88-7324-22), IL6 (88-7064-88), MCP1 (88-7391-88), IFN-γ (88-7314-88) from Invitrogen were assessed using the mouse ELISA kits according to the manufacturers.

Cell culture

Primary brown and white pre-adipocytes were fractionated according to our previous report⁶⁰. Briefly, adipose tissues were dissected, minced and digested with collagenase D (11088882001, Sigma-Aldrich) for 25 min at 37 °C. The digested tissues were filtered through a 100-μm mesh filter and centrifuged at 200 g for 10 min at 4 °C. The cell pellets were suspended with red blood cell lysis buffer for 5 min. After centrifugation, the fractionated pre-adipocytes were cultured in Dulbecco’s modified Eagle’s medium/F-12 (11320033, Thermo Fisher Scientific) supplemented with 10% fetal bovine serum (FBS). For browning differentiation, confluent cells were induced in pre-adipocyte cultures containing 0.5 mM isobutylmethylxanthine (I7018), 125 nM indomethacin (I7378), 1 μM dexamethasone (D4902), 850 nM insulin (I2643), 1 nM 3,3′,5-triiodo-L-thyronine (T3, T2877) and 1 μM rosiglitazone (R2408) from Sigma-Aldrich for 48 hrs. Cells were then maintained in a medium with 850 nM insulin, 1 nM T3, and 1 μM rosiglitazone for 6 days. After differentiation, brown adipocytes were starved for 8 hrs, followed by treating cells with 10 or 100 ng/mL IL18 (B004-2, MBL International, Woburn, MA) for 24 h. For lipolysis induction, cells were treated with 3 µM isoproterenol (I6504, Sigma-Aldrich) for 3 hrs. For white adipocyte differentiation, confluent cells were induced in pre-adipocyte cultures containing 0.5 mM isobutylmethylxanthine, 1 μM dexamethasone, and 850 nM insulin for 48 hrs. The cells were then maintained in a medium containing 850 nM insulin for 6 days. After differentiation, the cells are stained with oil red O and quantified lipid accumulation by absorbance at OD 510 nm. After differentiation, white adipocytes were starved for 8 hrs, followed by treating cells with 10 or 100 ng/mL IL18 for 24 hrs. For insulin signaling activation, cells were starved for 6 hrs, followed by treating cells with 10 or 100 ng/mL IL18 with or without 20 nM insulin for 30 min. For cAMP activation, cells were starved for 8 hrs, followed by treating cells with 100 ng/mL IL18 with or without 20 µM H89 (9844 S, Cell Signaling Technology) for 30 min.

Human adipose tissue from two donors were used in this study to isolate human pre-adipocytes. Donor information is listed in Supplementary Table 3. Human pre-adipocytes were isolated from obese subcutaneous adipose tissue and induced for browning differentiation the same as mouse pre-adipocytes. After differentiation, brown human adipocytes were starved for 8 hrs, followed by treating the cells with 0, 10 or 100 ng/mL recombinant human IL18 (9124-IL-050, R&D Systems) for 24 h.

Flow cytometry

SVFs were isolated by collagenase digestion from EAT, SAT, and BAT as described above, and resuspended in FACS buffer after red blood cell lysis. After 15 min incubation with an Fc block (16-0161-82; eBioscience, San Diego, CA), SVFs cells were stained with FACS antibodies for 30 min at 4 °C. To assess total macrophage, M1 macrophage, and M2 macrophage number in SVFs, cells were stained with Fixable Viability Dye eFluor 450, anti-CD45-APC, anti-CD11b-APC-Cyanine7 and anti-F4/80-PE, anti-CD206-PerCP-Cyanine5.5 and anti-CD11c-FITC. To detect eosinophil number in SVFs, cells were stained with Fixable Viability Dye eFluor 450, anti-CD45-PerCP-Cyanine5.5, anti-CD11b-APC, and anti-Siglec-F-PE antibodies. To detect CD4⁺ and CD8 T⁺ cell number in SVFs, cells were stained with Fixable Viability Dye eFluor 450, anti-CD45-PerCP-Cyanine5.5, anti-CD4-FITC, and anti-CD8-PE antibodies. To detect Treg cell number in SVFs, cells were stained with Fixable Viability Dye eFluor 450, anti-CD45-PerCP-Cyanine5.5, anti-CD4-FITC, anti-CD3-APC- Cyanine7, and anti-CD25-PE antibodies. Cells were fixed, permeabilized, and intracellularly stained for anti-Foxp3-APC antibodies. To detect Th1, Th2, Th17 cell number in SVFs, the cells were activated with phorbol myristate acetate (PMA, 50 ng/ml, 16561-29-8, Sigma) and ionomycin (1 µg/mL, 10634, Sigma) for 5 hrs in the presence of monensin (2 μM, 420701, BioLegend) at the end 3 hrs at 37 °C in a 5% CO₂ atmosphere. After activation, cells were stained with Fixable Viability Dye eFluor 450, anti-CD45-PerCP-Cyanine5.5, anti-CD3-APC- Cyanine7, anti-CD4-FITC antibodies. Cells were fixed, permeabilized, and intracellularly stained for anti-IFN-γ-PE, anti-IL4-APC, and anti-IL17A-PE-Cyanine7 antibodies. Cells were initially selected by size on the basis of forward scatter (FSC) and side scatter (SSC), following separated on the basis of cell-surface markers using a FACS Analyzer LSR (BD Biosciences). Antibody dilution and vendor information are listed in Supplementary Table 1.

Extracellular respiration

Primary brown adipocytes from different groups of mice were plated in seahorse plate and induced to mature brown adipocytes as described above. After differentiation, brown adipocytes were starved for 8 hrs, followed by treating the cells with or without 100 ng/mL IL18 for 24 h. Oxygen consumption rate (OCR) was performed on fully differentiated brown adipocytes (at day 8 of differentiation) with the Agilent Seahorse XF96 cellular Flux Analyzer (Agilent Technologies, Inc., Santa Clara, CA). Mitochondrial respiration was quantified using the Mito-stress test protocol. Four measurements were obtained under basal conditions and upon addition of isoproterenol (1 µM, 10009951, Cayman Chemical, Ann Arbor, MI), oligomycin (1 µg/mL, 75351), fluoro-carbonyl cyanide phenylhydrazone (FCCP, 1 µg/mL, C2920), rotenone (3 µM, R8875), and antimycin A (2 µg/mL, A8674) from Sigma-Aldrich. Non-mitochondrial respiration was subtracted to obtain basal, basal uncoupled, isoproterenol-stimulated uncoupled and maximal mitochondrial respiration.

In vitro glucose uptake assay

Primary white or brown adipocytes from different groups of mice were plated on a 96-well black with clear bottom plate. After differentiation, white or brown adipocytes were starved for 8 hrs, followed by treating the cells with or without 20 nM insulin and/or 100 ng/mL IL18 for 24 hrs. To determine the 2-[N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl) amino]-2-deoxy-D-glucose (2-NBDG) uptake level, cells were treated with glucose-free culture medium for 10 min and followed by treated with 100 µg/mL 2-NBDG in glucose-free medium for 2 hrs. 2-NBDG was assessed using the Glucose Uptake Cell-Based Assay Kit (600470, Cayman Chemical) according to manufacturers.

In vitro cAMP assay

Differentiated brown adipocytes from different groups of mice were starved for 8 hrs, followed by treating the cells with or without 100 ng/mL IL18 and 20 µM H89 for 24 hrs. Cell were extraction with 0.1 M HCl and centrifuged at 1000 g for 10 min. cAMP level was determined using the cAMP ELISA Kit (581001, Cayman Chemical) according to manufacturers.

Lipolysis

Differentiated mature adipocytes were chased with DMEM/F-12 containing 2% fatty acid-free bovina serum albumin (BSA) and treated with 3 mM isoproterenol for 3 hrs. The glycerol levels from the supernatants were quantified using a commercial kit (10009381, Cayman Chemical). The glycerol amounts were normalized to the total protein content of the differentiated adipocytes using a Pierce BCA protein assay reagent (PI23223, Thermo Fisher Scientific).

Mitochondrial nuclear DNA quantification

Total DNA from BAT was extracted using the DNeasy blood and tissue kit (96506, Qiagen, Germantown, MD), and the relative levels of mitochondrial DNA and nuclear DNA were quantified using primers specific for mitochondrial 16S rRNA and nuclear 18S rRNA genes. RT-PCR primers are listed in Supplementary Table 2.

Statistics

All data were expressed as mean ± SEM. Non-parametric Mann-Whitney U test was used for data comparisons between two groups with abnormal data distribution. Unpaired two-tailed Student’s t-test was used for two group data comparisons when data passed normality and equal variance test. One-way ANOVA test was used for data analyses with multiple group comparisons. The statistical significance of weekly bodyweight gain, GTT, and ITT was determined with a two-way ANOVA repeated measure. LSD post-hoc tests was used for multiple test correction of ANOVA to obtain the P value for the bracketed pairwise comparison. GraphPad Prism 9 version was used for analysis and P < 0.05 were considered significant.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Data availability

Data supporting the findings of this manuscript are available from the corresponding authors upon reasonable request. The source data underlying all Figures and Supplementary Figures are provided as a Source Data file. Source data are provided with this paper.

References

Harms, M. & Seale, P. Brown and beige fat: development, function and therapeutic potential. Nat. Med 19, 1252–1263 (2013).
Article CAS Google Scholar
Kajimura, S. & Saito, M. A new era in brown adipose tissue biology: molecular control of brown fat development and energy homeostasis. Annu Rev. Physiol. 76, 225–249 (2014).
Article CAS Google Scholar
Rosen, E. D. & Spiegelman, B. M. What we talk about when we talk about fat. Cell 156, 20–44 (2014).
Article CAS Google Scholar
Bluher, M. et al. Adipose tissue selective insulin receptor knockout protects against obesity and obesity-related glucose intolerance. Dev. Cell 3, 25–38 (2002).
Article CAS Google Scholar
Boucher, J. et al. A kinase-independent role for unoccupied insulin and IGF-1 receptors in the control of apoptosis. Sci. Signal 3, ra87 (2010).
Article CAS Google Scholar
Sakaguchi, M. et al. Adipocyte Dynamics and Reversible Metabolic Syndrome in Mice with an Inducible Adipocyte-Specific Deletion of the Insulin Receptor. Cell Metab. 25, 448–462 (2017).
Article CAS Google Scholar
Cohen, P. & Spiegelman, B. M. Brown and Beige Fat: Molecular Parts of a Thermogenic Machine. Diabetes 64, 2346–2351 (2015).
Article CAS Google Scholar
Kajimura, S., Spiegelman, B. M. & Seale, P. Brown and Beige Fat: Physiological Roles beyond Heat Generation. Cell Metab. 22, 546–559 (2015).
Article CAS Google Scholar
Qiu, Y. et al. Eosinophils and type 2 cytokine signaling in macrophages orchestrate development of functional beige fat. Cell 157, 1292–1308 (2014).
Article CAS Google Scholar
Rao, R. R. et al. Meteorin-like is a hormone that regulates immune-adipose interactions to increase beige fat thermogenesis. Cell 157, 1279–1291 (2014).
Article CAS Google Scholar
Brestoff, J. R. et al. Group 2 innate lymphoid cells promote beiging of white adipose tissue and limit obesity. Nature 519, 242–246 (2015).
Article ADS CAS Google Scholar
Lee, M. W. et al. Activated type 2 innate lymphoid cells regulate beige fat biogenesis. Cell 160, 74–87 (2015).
Article CAS Google Scholar
Odegaard, J. I. et al. Perinatal Licensing of Thermogenesis by IL-33 and ST2. Cell 166, 841–854 (2016).
Article CAS Google Scholar
Rajbhandari, P. et al. IL-10 Signaling Remodels Adipose Chromatin Architecture to Limit Thermogenesis and Energy Expenditure. Cell 172, 218–233 e217 (2018).
Article CAS Google Scholar
Okamura, H. et al. Cloning of a new cytokine that induces IFN-gamma production by T cells. Nature 378, 88–91 (1995).
Article ADS CAS Google Scholar
Ahmad, R., Thomas, R., Kochumon, S. & Sindhu, S. Increased adipose tissue expression of IL-18R and its ligand IL-18 associates with inflammation and insulin resistance in obesity. Immun. Inflamm. Dis. 5, 318–335 (2017).
Article CAS Google Scholar
Gerdes, N. et al. Expression of interleukin (IL)-18 and functional IL-18 receptor on human vascular endothelial cells, smooth muscle cells, and macrophages: implications for atherogenesis. J. Exp. Med 195, 245–257 (2002).
Article CAS Google Scholar
Mallat, Z. et al. Expression of interleukin-18 in human atherosclerotic plaques and relation to plaque instability. Circulation 104, 1598–1603 (2001).
Article CAS Google Scholar
Skurk, T. et al. The proatherogenic cytokine interleukin-18 is secreted by human adipocytes. Eur. J. Endocrinol. 152, 863–868 (2005).
Article CAS Google Scholar
Escobar-Morreale, H. F., Botella-Carretero, J. I., Villuendas, G., Sancho, J. & San Millan, J. L. Serum interleukin-18 concentrations are increased in the polycystic ovary syndrome: relationship to insulin resistance and to obesity. J. Clin. Endocrinol. Metab. 89, 806–811 (2004).
Article CAS Google Scholar
Esposito, K. et al. Cytokine milieu tends toward inflammation in type 2 diabetes. Diabetes Care 26, 1647 (2003).
Article Google Scholar
Fischer, C. P., Perstrup, L. B., Berntsen, A., Eskildsen, P. & Pedersen, B. K. Elevated plasma interleukin-18 is a marker of insulin-resistance in type 2 diabetic and non-diabetic humans. Clin. Immunol. 117, 152–160 (2005).
Article CAS Google Scholar
Moriwaki, Y. et al. Elevated levels of interleukin-18 and tumor necrosis factor-alpha in serum of patients with type 2 diabetes mellitus: relationship with diabetic nephropathy. Metabolism 52, 605–608 (2003).
Article CAS Google Scholar
Esposito, K. et al. Inflammatory cytokine concentrations are acutely increased by hyperglycemia in humans: role of oxidative stress. Circulation 106, 2067–2072 (2002).
Article CAS Google Scholar
Esposito, K. et al. Weight loss reduces interleukin-18 levels in obese women. J. Clin. Endocrinol. Metab. 87, 3864–3866 (2002).
Article CAS Google Scholar
Hung, J., McQuillan, B. M., Chapman, C. M., Thompson, P. L. & Beilby, J. P. Elevated interleukin-18 levels are associated with the metabolic syndrome independent of obesity and insulin resistance. Arterioscler Thromb. Vasc. Biol. 25, 1268–1273 (2005).
Article CAS Google Scholar
Olusi, S. O., Al-Awadhi, A. & Abraham, M. Relations of serum interleukin 18 levels to serum lipid and glucose concentrations in an apparently healthy adult population. Horm. Res 60, 29–33 (2003).
CAS Google Scholar
Netea, M. G. et al. Deficiency of interleukin-18 in mice leads to hyperphagia, obesity and insulin resistance. Nat. Med 12, 650–656 (2006).
Article CAS Google Scholar
Pazos, P. et al. Divergent responses to thermogenic stimuli in BAT and subcutaneous adipose tissue from interleukin 18 and interleukin 18 receptor 1-deficient mice. Sci. Rep. 5, 17977 (2015).
Article ADS CAS Google Scholar
Zorrilla, E. P. et al. Interleukin-18 controls energy homeostasis by suppressing appetite and feed efficiency. Proc. Natl Acad. Sci. USA 104, 11097–11102 (2007).
Article ADS CAS Google Scholar
Zorrilla, E. P. & Conti, B. Interleukin-18 null mutation increases weight and food intake and reduces energy expenditure and lipid substrate utilization in high-fat diet fed mice. Brain Behav. Immun. 37, 45–53 (2014).
Article CAS Google Scholar
Dinarello, C. A., Novick, D., Kim, S. & Kaplanski, G. Interleukin-18 and IL-18 binding protein. Front Immunol. 4, 289 (2013).
Article Google Scholar
Torigoe, K. et al. Purification and characterization of the human interleukin-18 receptor. J. Biol. Chem. 272, 25737–25742 (1997).
Article CAS Google Scholar
Lindegaard, B. et al. Interleukin-18 activates skeletal muscle AMPK and reduces weight gain and insulin resistance in mice. Diabetes 62, 3064–3074 (2013).
Article CAS Google Scholar
Wang, J. et al. Interleukin 18 function in atherosclerosis is mediated by the interleukin 18 receptor and the Na-Cl co-transporter. Nat. Med 21, 820–826 (2015).
Article CAS Google Scholar
Zhang, X. et al. IL18 signaling causes islet beta cell development and insulin secretion via different receptors on acinar and beta cells. Dev. Cell 57, 1496–1511 e1496 (2022).
Article CAS Google Scholar
Chouchani, E. T. & Kajimura, S. Metabolic adaptation and maladaptation in adipose tissue. Nat. Metab. 1, 189–200 (2019).
Article Google Scholar
Xiao, C., Goldgof, M., Gavrilova, O. & Reitman, M. L. Anti-obesity and metabolic efficacy of the beta3-adrenergic agonist, CL316243, in mice at thermoneutrality compared to 22 degrees C. Obes. (Silver Spring) 23, 1450–1459 (2015).
Article CAS Google Scholar
Mottillo, E. P. et al. Coupling of lipolysis and de novo lipogenesis in brown, beige, and white adipose tissues during chronic beta3-adrenergic receptor activation. J. Lipid Res 55, 2276–2286 (2014).
Article CAS Google Scholar
Mottillo, E. P., Shen, X. J. & Granneman, J. G. Role of hormone-sensitive lipase in beta-adrenergic remodeling of white adipose tissue. Am. J. Physiol. Endocrinol. Metab. 293, E1188–E1197 (2007).
Article CAS Google Scholar
Nguyen, K. D. et al. Alternatively activated macrophages produce catecholamines to sustain adaptive thermogenesis. Nature 480, 104–108 (2011).
Article ADS CAS Google Scholar
Kalin, S. et al. A Stat6/Pten Axis Links Regulatory T Cells with Adipose Tissue Function. Cell Metab. 26, 475–492 e477 (2017).
Article Google Scholar
Mason, C. M., Porretta, E., Zhang, P. & Nelson, S. CD4+ CD25+ transforming growth factor-beta-producing T cells are present in the lung in murine tuberculosis and may regulate the host inflammatory response. Clin. Exp. Immunol. 148, 537–545 (2007).
Article CAS Google Scholar
Shi, F. & Collins, S. Second messenger signaling mechanisms of the brown adipocyte thermogenic program: an integrative perspective. Horm Mol Biol Clin Investig 31 (2017).
Venkateshaiah, S. U. et al. A critical role for IL-18 in transformation and maturation of naive eosinophils to pathogenic eosinophils. J. Allergy Clin. Immunol. 142, 301–305 (2018).
Article CAS Google Scholar
Fischer, A. W. et al. Thermoneutrality-Induced Macrophage Accumulation in Brown Adipose Tissue Does Not Impair the Tissue’s Competence for Cold-Induced Thermogenic Recruitment. Front Endocrinol. (Lausanne) 11, 568682 (2020).
Article Google Scholar
Knudsen, J. G. et al. Role of IL-6 in exercise training- and cold-induced UCP1 expression in subcutaneous white adipose tissue. PLoS One 9, e84910 (2014).
Article ADS Google Scholar
Wallenius, V. et al. Interleukin-6-deficient mice develop mature-onset obesity. Nat. Med 8, 75–79 (2002).
Article CAS Google Scholar
Mallat, Z. et al. Interleukin-18/interleukin-18 binding protein signaling modulates atherosclerotic lesion development and stability. Circ. Res 89, E41–E45 (2001).
Article CAS Google Scholar
Elliott, W. J. & Meyer, P. M. Incident diabetes in clinical trials of antihypertensive drugs: a network meta-analysis. Lancet 369, 201–207 (2007).
Article CAS Google Scholar
Price, A. L. et al. The metabolic cost of lowering blood pressure with hydrochlorothiazide. Diabetol. Metab. Syndr. 5, 35 (2013).
Article CAS Google Scholar
Stump, C. S., Hamilton, M. T. & Sowers, J. R. Effect of antihypertensive agents on the development of type 2 diabetes mellitus. Mayo Clin. Proc. 81, 796–806 (2006).
Article CAS Google Scholar
Shapiro, L. et al. Interleukin 18 stimulates HIV type 1 in monocytic cells. Proc. Natl Acad. Sci. USA 95, 12550–12555 (1998).
Article ADS CAS Google Scholar
Chandrasekar, B. et al. Interleukin-18 suppresses adiponectin expression in 3T3-L1 adipocytes via a novel signal transduction pathway involving ERK1/2-dependent NFATc4 phosphorylation. J. Biol. Chem. 283, 4200–4209 (2008).
Article CAS Google Scholar
Janani, C. & Ranjitha Kumari, B. D. PPAR gamma gene–a review. Diabetes Metab. Syndr. 9, 46–50 (2015).
Article CAS Google Scholar
Feige, J. N., Gelman, L., Michalik, L., Desvergne, B. & Wahli, W. From molecular action to physiological outputs: peroxisome proliferator-activated receptors are nuclear receptors at the crossroads of key cellular functions. Prog. Lipid Res 45, 120–159 (2006).
Article CAS Google Scholar
Murphy, A. J. et al. IL-18 Production from the NLRP1 Inflammasome Prevents Obesity and Metabolic Syndrome. Cell Metab. 23, 155–164 (2016).
Article CAS Google Scholar
Rohner-Jeanrenaud, F., Cusin, I., Sainsbury, A., Zakrzewska, K. E. & Jeanrenaud, B. The loop system between neuropeptide Y and leptin in normal and obese rodents. Horm. Metab. Res 28, 642–648 (1996).
Article CAS Google Scholar
Nowarski, R. et al. Epithelial IL-18 Equilibrium Controls Barrier Function in Colitis. Cell 163, 1444–1456 (2015).
Article CAS Google Scholar
Zhang, X. et al. Functional Inactivation of Mast Cells Enhances Subcutaneous Adipose Tissue Browning in Mice. Cell Rep. 28, 792–803 e794 (2019).
Article CAS Google Scholar

Download references

Acknowledgements

This work was supported by grants from the National Natural Science Foundation of China (U21A20348 to ZL); Henan Province Public Service Fund (201300310600 to ZL); the National Heart, Lung, and Blood Institute (HL151627 and HL157073 to GPS; HL34636 and HL80472 to PL), and the National Institute of Neurological Disorders and Stroke (AG063839 to GPS). Dr. Xian Zhang is supported by American Heart Association postdoctoral fellowship 18POST34050043 and National Natural Science Foundation of China (32200630 to XZ). We thank Alexander S. Banks for Columbus Instruments Oxymax Comprehensive Lab Animal Monitoring System (CLAMS) supply and technical assistance.

Author information

These authors contributed equally: Xian Zhang, Songyuan Luo.

Authors and Affiliations

School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
Xian Zhang, Qiongqiong Cao, Zhixin Zhang & Jian Liu
Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, 02115, USA
Xian Zhang, Songyuan Luo, Minjie Wang, Qin Huang, Jie Li, Zhiyong Deng, Tianxiao Liu, Cong-Lin Liu, Mathilde Meppen, Amelie Vromman, Peter Libby & Guo-Ping Shi
Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, 510000, China
Songyuan Luo
Department of Nephrology, the First Affiliated Hospital, Research Institute of Nephrology, Zhengzhou University, Henan Province Research Center For Kidney Disease, Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, Henan, 450052, China
Cong-Lin Liu & Zhangsuo Liu
Department of Immunobiology, Yale School of Medicine, New Haven, CT, 06520, USA
Richard A. Flavell
Department of Molecular Metabolism, Harvard School of Public Health, Boston, MA, 02115, USA
Gökhan S. Hotamışlıgil

Authors

Xian Zhang
View author publications
You can also search for this author in PubMed Google Scholar
Songyuan Luo
View author publications
You can also search for this author in PubMed Google Scholar
Minjie Wang
View author publications
You can also search for this author in PubMed Google Scholar
Qiongqiong Cao
View author publications
You can also search for this author in PubMed Google Scholar
Zhixin Zhang
View author publications
You can also search for this author in PubMed Google Scholar
Qin Huang
View author publications
You can also search for this author in PubMed Google Scholar
Jie Li
View author publications
You can also search for this author in PubMed Google Scholar
Zhiyong Deng
View author publications
You can also search for this author in PubMed Google Scholar
Tianxiao Liu
View author publications
You can also search for this author in PubMed Google Scholar
Cong-Lin Liu
View author publications
You can also search for this author in PubMed Google Scholar
Mathilde Meppen
View author publications
You can also search for this author in PubMed Google Scholar
Amelie Vromman
View author publications
You can also search for this author in PubMed Google Scholar
Richard A. Flavell
View author publications
You can also search for this author in PubMed Google Scholar
Gökhan S. Hotamışlıgil
View author publications
You can also search for this author in PubMed Google Scholar
Jian Liu
View author publications
You can also search for this author in PubMed Google Scholar
Peter Libby
View author publications
You can also search for this author in PubMed Google Scholar
Zhangsuo Liu
View author publications
You can also search for this author in PubMed Google Scholar
Guo-Ping Shi
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

X.Z. and S.-Y.L. conceived and designed the experiments, performed the study, and drafted the manuscript. M.W., Q.C., Z.Z., Q.H., L.J., Z.D., T.L., C.-L.L., M.M., A.V., G.S.H., and J.L. participated in the study and contributed to data analysis. R.A.F. provided the mouse models. P.L. assisted the experimental design and edited the manuscript. Z.L. and G.-P.S. conceived and designed the experiments, and edited the manuscript.

Corresponding authors

Correspondence to Zhangsuo Liu or Guo-Ping Shi.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Communications thanks Sean Hartig and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Reporting Summary

Source data

Source Data

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Cite this article

Zhang, X., Luo, S., Wang, M. et al. Differential IL18 signaling via IL18 receptor and Na-Cl co-transporter discriminating thermogenesis and glucose metabolism regulation. Nat Commun 13, 7582 (2022). https://doi.org/10.1038/s41467-022-35256-8

Download citation

Received: 30 September 2021
Accepted: 24 November 2022
Published: 08 December 2022
DOI: https://doi.org/10.1038/s41467-022-35256-8

This article is cited by

Biological and clinical roles of IL-18 in inflammatory diseases
- Emily Landy
- Hallie Carol
- Scott Canna
Nature Reviews Rheumatology (2024)
Role of IL-18 in adipose tissue remodeling and metabolic dysfunction
- Jaqueline Pereira Lana
- Marina Chaves de Oliveira
- Adaliene Versiani Matos Ferreira
International Journal of Obesity (2024)

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.