SUMMARY
Despite a wealth of clinical data showing an association between inflammation and degenerative disorders in elderly, the immune sensors that causally link systemic inflammation to aging remain unclear. Here we detail a mechanism that the Nlrp3 inflammasome controls systemic low grade age-related ‘sterile’ inflammation in both periphery and brain independently of the non-canonical caspase-11 inflammasome. Ablation of Nlrp3 inflammasome protected mice from age-related increases in the innate immune activation, alterations in CNS transcriptome and astrogliosis. Consistent with the hypothesis that systemic low grade inflammation promotes age-related degenerative changes, the deficient Nlrp3 inflammasome mediated caspase-1 activity improved glycemic control and attenuated bone loss and thymic demise. Notably, IL-1 mediated only Nlrp3 inflammasome dependent improvement in cognitive function and motor performance in aged mice. These studies reveal Nlrp3 inflammasome as an upstream target that controls age-related inflammation and offer innovative therapeutic strategy to lower Nlrp3 activity to delay multiple age-related chronic diseases.
Keywords: Inflammation, T cells, brain, macrophages, Pycard, IL-1β, aging, caspase-1, ASC, LPS, dementia, Lipotoxicity, complement, interferon, dentate gyrus
INTRODUCTION
The Nlrp3 inflammasome is unique among innate immune sensors, as it can be activated in response to a diverse array of endogenous metabolic ‘danger signals’ to induce sterile inflammation in absence of overt infection. (Dinarello, 2009; Martinon et al., 2009; Strowig et al., 2012). The Nlrp3 inflammasome controls caspase-1 activation which is required for secretion of IL-1β and IL-18 to regulate obesity-induced inflammation and insulin-resistance (Steinstra et al., 2011, Vandanmagsar et al., 2011; Wen et al., 2011). Clinically, aging is associated with increases in IL-18, IL-1 receptor antagonist (IL-1RA) and IL-6, while circulating IL-1β levels are undetectable (Ferrucci et al., 2005; Franceschi et al., 2007; Dinarello, 2009). Global age-related systemic inflammation in multiple organs including adipose tissue and CNS is postulated to be a common mechanism leading to several chronic degenerative disorders that negatively impacts the healthspan of the elderly (Lumeng et al., 2011; Green et al., 2011; Ferrucci et al., 2005; Franceschi et al., 2007). However, the mechanisms underlying maladaptive systemic inflammation in several organs in the absence of overt infection, as observed during aging are still speculative.
Both IL-1β and IL-18 mediate several of downstream effects of Nlrp3 inflammasome-dependent caspase-1 activation (Martinon et al., 2009). However, IL-1 is thought to play a predominant role in development of several age-related degenerative diseases including type 2 diabetes and Alzheimer’s disease (Youm et al 2011; Heneka et al 2013). Importantly, in addition to IL-1, caspase-1 has multiple substrates and can also induce adipose tissue inflammation and insulin-resistance by cleavage of Sirt1 (Chalkiadaki and Guarente., 2012). Depending on the disease model, several redundant upstream mechanisms control the processing and secretion of mature IL-1β, these include neutrophil-derived serine proteinase 3 and granzyme A (Dinarello, 2009). In addition to distinct NLR and AIM2 inflammasomes, caspase-1 can also be activated via CARD-CARD interactions of the non-canonical caspase-11 inflammasome in response to pathogens (Kayagaki et al., 2011; Strowig et al., 2012). Notably, the Nlrp3 inflammasome can also be activated by non-microbial origin DAMPs such as lipotoxic fatty acids (Wen et al., 2011), ceramides (Vandanmagsar et al., 2011, Youm et al., 2012), free cholesterol (Duewell et al., 2010; Youm et al 2012), uric acid (Martinon et al 2006), ATP (Mariathasan et al., 2006) and ROS (Strowig et al 2012). Many DAMPs are be elevated during aging and thus could trigger Nlrp3 inflammasome activation to produce age-related inflammation (Rugiero et al., 2006; Cutler et al., 2004).
Age-related inflammation in multiple organs may lead to functional decline even in absence of a specific disease. It has been hypothesized that fundamental trade-off between the cost benefit ratio of inflammatory immune response that allows survival against early life infections may have deleterious consequences on organ function as human lifespan extends beyond the reproductive age in a constructed niche of energy excess and relatively low microbial exposure (Okin and Medzhitov 2012). Notably, aging remains a significant risk factor for multiple chronic diseases such as diabetes, atherosclerosis, dementia, arthritis and cancer (Green et al., 2011). However, the identity of immune sensors that mediate a chronic inflammatory state in normal aging process remains obscure and it is also uncertain whether reduction in specific pro-inflammatory mechanisms can impact the multiple degenerative conditions during aging. Here, we show that the Nlrp3 inflammasome is a major sensor of age-related accumulation of DAMPs and an upstream regulator that controls caspase-1 mediated pro-inflammatory state in aging independently of caspase-11 pathway. Consistent with the long-held belief that low grade chronic inflammation instigates age-related functional decline, we present experimental evidence to support the hypothesis that reduction of Nlrp3 inflammasome is a common mechanism that extends the healthspan and attenuates multiple age-related degenerative changes in periphery as well as brain. In addition, we show that during aging, IL-1 signaling does not mediate Nlrp3 inflammasome effects on glucose tolerance, thymic demise, T cell senescence and bone loss. Our data reveal that IL-1 regulates Nlrp3 mediated cognitive decline and functional measures of frailty. These data provide evidence that inhibiting aberrant Nlrp3 activity during aging may lower age-related chronic diseases driven by inflammation.
RESULTS
The Nlrp3 inflammasome controls age-related inflammation in periphery
Recent evidence suggests that in response to high-fat diet Nlrp3 and Asc deficient mice defend against adiposity (Stienstra et al., 2011). However, it has also been demonstrated that development of HFD induced dysbiosis in a different strain of Asc mutant mice causes increased obesity (Henao-Mejia et al., 2012). Therefore, we monitored the body weight of normal chow fed Nlrp3−/− and Asc−/− mice till 24 months of age. When fed a normal chow diet, the Nlrp3−/− and Asc−/− mice did not show any significant difference in body weight till 6 months of age. However, the male Nlrp3−/− mice weighed significantly more than WT and Asc−/− mice at 9 and 20 months of age (Figure S1A, SB). By 24 month of age male and female Nlrp3, Asc and caspase-11 mutant mice did not show any significant difference in body weight (Figure S1A, SB). Furthermore, compared to 24month old WT mice the Nlrp3−/− animals did not show any difference in body composition (Figure S2) or hepatic steatosis (Figure S1B) and no change in hepatic Il6 was detected (Figure S2B).
Nlrp3 inflammasome can sense a wide array of DAMPs, indeed, multiple age-relevant DAMPs such as extracellular ATP, urate, ceramides and palmitate induced IL-1β activation in macrophages in an Nlrp3 dependent manner (Figure 1A). Furthermore, ablation of Nlrp3 lowered aging associated caspase-1 activation in adipose tissue (Figure 1B, Figure S1C) suggesting reduction in inflammasome dependent peripheral inflammation. Further investigation revealed that age-related increase in adipose tissue IL-1β expression was significantly reduced in Nlrp3 deficient mice but not in aged caspase-11 mutants while no significant age-related changes were detected in liver (Figure 1C).
Interestingly, age-related increase in circulating IL-18 was significantly reduced in Nlrp3-deficient mice (Figure 1D) and was unaffected in Casp11−/− mice, whereas the loss of Asc totally abrogated the rise of IL-18 in aged mice (Figure 1D). Given that Asc is also required for the assembly of Nlrp6, Nlrp12, and AIM2 (absent in melanoma2) inflammasome (Strowig et al., 2012), these data suggest that multiple inflammasomes may partake in mechanisms that control age-related rise in IL-18. Serum and plasma IL-1β levels in 23month old WT mice were not measurable. Furthermore, the loss of Nlrp3 and Asc did not affect the age-related increase in IL-6 (Figure 1E). Given development of age-related inflammation is linked to glucose intolerance and Nlrp3 deficient mice are protected from age-related increase in caspase-1 activation, we conducted glucose tolerance tests at 14, 19 and 23 months of age in three different cohorts of mice (Figure 1F, G). Compared to 19 and 23month WT mice (Figure 1G), the Nlrp3 mutant animals displayed improved glucose tolerance while no change in GTT was observed at 14months of age (Figure 1F).
During obesity, IL-1β mediates majority of downstream effects of Nlrp3 inflammasome activation that produce glucose intolerance (Stienstra et al., 2011; McGillicuddy et al 2011). Therefore, we next evaluated the role of IL-1 in development of glucose intolerance during healthy aging process. Similar to Nlrp3−/−, the aged Il1r−/− mice did not show increased adiposity or alteration in lean or fat mass (Figure S2C). We found that ablation of IL1 signalling in aged mice reduced the pro-inflammatory complement component C3 (Figure 1H) without affecting Tnf and Il10 gene expression (Figure 1I, J). Furthermore, in contrast to diet-induced obesity (Steinstra et al., 2011; McGillicuddy et al 2011), the 20 month old chow fed Il1r−/− mice did not show any improvement in glucose tolerance when compared to WT controls (Figure 1K). Notably, caspase-1 activation impairs lipid metabolism independently of IL-1 and IL-18 family of cytokines (Kotas et al., 2013). Our data suggest that during aging, reduction in Nlrp3 inflammasome induced caspase-1 activation improves glucose tolerance independently of IL-1.
Given that the expansion of effector T cells at the expense of naive cells is a hallmark feature of peripheral inflammation that is linked to thymic involution (Goronzy and Weyand, 2005), we next examined the role of canonical Nlrp3 inflammasome, caspase-11 and IL-1 on thymic aging and effector T cells during aging. The aging cohorts of Nlrp3 deficient mice were significantly protected from age-related thymic involution as evidenced by reduced ectopic adipocytes, increased thymic size and maintenance of cortical and medullary architecture and increased thymic mass and thymocyte numbers (Figure 2A).
The ablation of inflammasome adaptor, Asc significantly reduced age-related effector T cell expansion with higher naive T cell frequency in spleen while the aged caspase-11 mice were indistinguishable from the WT mice (Figure 2B, C). Importantly, recent data suggest that loss of Dock2 expression due to potential inactivating passenger mutations in certain strains of Asc deficient mice causes alterations in T cell homeostasis which results in lower naive T cell frequency (Ippagunta et al., 2011). Given our Asc deficient mice had higher naive T cell frequency, we examined the Dock2 expression in spleen and bone marrow derived macrophages of aged WT and Asc−/− mice. We found that Asc deficient mice in our colony express Dock2 normally and protection from inflammation induced degenerative changes in aged Asc−/− mice is not dependent on Dock2 mutation or dysregulation (Figure 2D). Interestingly, unlike Nlrp3 and Asc deficient mice, loss of IL-1 signaling in aged animals did not protect against thymic demise (Figure 2E, F). Compared to 20 month old WT mice, the Il1r−/− mice did not show any change in thymic weight or thymocyte numbers (Figure 2E) and CD4 and CD8 naive and effector T cell frequency (Figure 2F).
The Nlrp3 inflammasome induces age-related hippocampal astrogliosis and inflammation in CNS
Age-related inflammation is thought to negatively impact CNS function. Furthermore, considering that the inflammasome is expressed in myeloid lineage cells, and microglial activation is implicated in causing age-related dementias (Cutler et al., 2004; Czirr and Wyss-Coray, 2012; Ransohoff and Brown, 2012), we next asked whether the canonical Nlrp3 inflammasome regulates inflammation in aging brain. No differences in inflammasome dependent alterations in hippocampal microglial distribution were observed in aged mice (Figure S3A). Immunostaining with Iba1+ revealed that ablation of Nlrp3 in 23month old mice reduced the microglial activation in dentate gyrus (DG) region of hippocampus (Figure 3A). Consistent with reduced microglial activation, the ablation of both Nlrp3 and Asc significantly reduced mRNA expression of proinflammatory cytokines Il1b and Tnf (Figure 3B, C) without significantly affecting the age-related increase in Il6 in hippocampus (Figure S3B). Interestingly, ablation of Nlrp3 did not protect against age-related increase in hypothalamic microglial activation (Figure S4A) and inflammation. (Figure S4B) suggesting specific effects on the brain regions that control cognition and memory.
Astrogliosis is an important mechanism that contributes towards age-related functional decline and dementia (Ransohoff and Brown, 2012). The GFAP staining revealed reduced astrogliosis in hippocampus of aged Nlrp3−/− mice (Figure. 3D). Interestingly, the age-related increase in GFAP immunostaining that localized to the DG region was lower in age-matched Nlrp3 mutants (Figure 3D). To further confirm a role of the inflammasome in astrogliosis, we placed WT and Nlrp3−/− mice on high fat diet (HFD) for a period of 14 months and then examined the GFAP immunopositivity (Figure S3C). Obesity significantly accelerates astrogliosis and age-related neurodegeneration (Frisardi et al., 2010, Czirr and Wyss-Coray 2012), importantly, we found that HFD- and aging-induced hippocampal astrogliosis was reduced in Nlrp3−/− mice (Figure S3C and Figure S3F). In addition, purified Glast1+ astroglial cells express high levels of procaspase-1 and in response to extracellular ATP are fully competent to induce inflammasome activation (Figure 3G). Further examination of astrocyte morphology by GFAP staining revealed that in DG regions, aged WT mice displayed astrocyte hypertrophy (Figure 3E). Consistent with increased age-related astrogliosis, the PoDG and Mol layer of DG in aged WT mice displayed pronounced overlap of astrocyte processes (Figure 3E). Interestingly, in age-matched Nlrp3−/− mice astrocytic hypertrophy was reduced and the territories of astrocyte processes did not overlap, suggesting reduced astrogliosis (Figure 3E). Importantly, the investigation of caspase-1 activation in CNS revealed that elimination of Nlrp3 substantially reduced the age-related increase in caspase-1 cleavage (Figure 3H, I) as well as activated the p17 subunit of IL-1β in hippocampus (Figure 3J and Figure S3D).
The ablation of Nlrp3 inflammasome protects against age-related alterations in the transcriptome
To provide a more global view, we employed gene expression profiling to gain further understanding of the Nlrp3 inflammasome-dependent mechanism of age-related inflammation in hippocampus. Compared to young WT and mutant mice, we observed significantly broader expression differences in aged WT and Nlrp3−/− and Asc−/− mice (Figure 4A), involving 2.5 to 3 times more genes compared to young (Figure 4A). Genes were first queried for age-dependent expression changes in WT mice. The resulting subset of genes was then interrogated for presence of genes with genotype-dependent changes of expression in old mice, with the goal of identifying pathways that are modulated by the loss of Nlrp3 inflammasome activity in aging (Figure 4B. The figure 4B shows the set of 298 gene probes that respond to aging, yet are modulated by either of the two mutant genotypes (Nlrp3 and Asc). The gene probes were sorted according to their expression change observed in the wild type, old vs. young comparison. Nearly all gene probes show reciprocal regulation when comparing age effects in WT to genotype effects in old mice, as genes with age-dependent increase of expression showed reduced expression in old Nlrp3 and Asc deficient mice compared to old WT mice, and vice versa (Figure 4B). Comparing age-dependent changes in the mutants (aged Asc−/− Vs young Asc−/−, aged Nlrp3−/− Vs young Nlrp3−/−) to WT (young Vs old) shows that only a small fraction of these gene probes respond to genotype in young mice (Figure 4B).
Comparing the age-dependent response in WT to genotype-dependent responses among aged animals, a total of 298 gene probes were impacted by ablation of both Nlrp3 and Asc (Figure S5). Interestingly, examination of the direction of change revealed that nearly all (295 of 298) gene probes altered with age in WT mice, showed expression changes in the opposite direction when comparing both old Nlrp3 and Asc mutants to old WT mice (Figure 4C). Consistent with recent studies28, our data revealed that age-associated enrichment of NFkB, IL-1 and IL-8 signalling pro-inflammatory pathways was partially dependent on the Nlrp3 inflammasome (Figure 4D). Furthermore, gene ontology enrichment analysis revealed that ablation of the Nlrp3 inflammasome protected against age-related elevation of cell death and inflammation pathways (Figure 4E). The genes identified from these analyses suggests that group of genes involved in cell death and inflammatory process are characterized by age-dependent gene expression changes that are moderated by the absence of both the Asc and the Nlrp3 inflammasome activity (Figure 4F). Notably, in certain disease models Asc may have unique functions that are independent of inflammasome-mediated caspase-1 cleavage (Ippagunta et al., 2011). Our data provide evidence that during aging, the Nlrp3 and Asc perform analogous, Nlrp3 inflammasome-dependent functions to regulate age-related inflammation.
Reduction in canonical Nlrp3 inflammasome reduces age-associated innate immune activation
We next investigated the age-dependent and Nlrp3 inflammasome regulated pathways that were identified from the global expression profiling analysis in hippocampus. Consistent with a role of IL-1β signalling in mediating Nlrp3 inflammasome downstream effects, age-related increases in Irak3 mRNA was significantly reduced in hippocampus of aged Nlrp3 null mutants (Figure 5A). The astrogliosis signatures identified from microarray in hippocampus confirmed that age-related increases in Gfap and alarmin Il33 expression were dependent on Nlrp3 without affecting synemin (Figure 5B). Ablation of Nlrp3 protected against age-related activation of interferon response (Ifitm3, Gbp2 and Trib2) in hippocampus (Figure 5C). We identified marked age-related increases in complement pathway genes--C3, C4, C1qa, C1qb -- in hippocampus (Figure 5D) as well as cortex (Figure 5E) which were significantly reduced in Nlrp3 deficient mice. Reduction in Nlrp3 inflammasome hippocampus was associated with increases in genes involved in learning and memory (Tenascin, Id3 and Bdnf) (Figure 5F). Interestingly, ablation of non-canonical caspase-11 inflammasome did not protect against age-related gene expression changes observed in hippocampus or cortex (Figure 5A–F).
IL-1 partakes in regulating age-related CNS inflammation and functional decline
IL-1 signaling downstream of Nlrp3 inflammasome activation is hypothesized to be major mechanism that controls ‘sterile’ inflammation in CNS and in several age-related chronic diseases including dementia (Dinarello, 2009; Martinon et al., 2009; Strowig et al., 2012). We found that similar to the hippocampi of aged Nlrp3 deficient mice, the age-related increase in complement C3 and interferon response genes Gbp2 and Ifitm3 were blunted in aged IL-1 receptor null mice (Figure 6A). However, unlike Nlrp3−/− mice, the disruption of IL-1 signaling in aging did not affect age-and Nlrp3- dependent inflammatory markers Trib2, GFAP and IL-33 (Figure 6A). Next, we utilized the Stone T-maze test to evaluate age-related changes in memory and learning because this test avoids the confounding effects of impaired visual function seen in old mice (Pistell et al 2012). Importantly, consistent with overall reduction in inflammation in hippocampus, analysis of cognitive function, one of the measures of functional decline revealed that compared to WT mice the aged Il1r−/− animals displayed partially improved learning ability in a stone T maze (Figure 6B).
Given age-related inflammation is linked with other degenerative changes such as reduced bone mass and increased frailty we also investigated the motor performance measured on the rotarod and the treadmill tests. Analysis of bone mineral content and bone mineral density of femurs revealed no difference between Il1r−/− animals and the 20 month old WT controls (Figure 6C). Interestingly, compared to WT mice, the 20 month old IL-1R deficient animals displayed enhanced performance on the rotarod (Figure 6D) and displayed significantly increased running time and distance on the treadmill (Figure 6E, F) suggesting reduced frailty.
Reduction in Nlrp3 inflammasome activity extends measures of healthspan
As further evidence that reduction of Nlrp3 inflammasome activity links inflammation with age-related functional decline, we noted remarkable effects on several age-sensitive functional and pathological indices. Consistent with significant reduction in hippocampal inflammation and astrogliosis, the aged Nlrp3−/− mice were significantly protected from age-related decline in cognition and memory (Figure 7A). Importantly, error performance of WT and Nlrp3−/− mice during the first two blocks of maze training did not differ significantly (Figure 7A). These data demonstrate that the performance requirements of the task were equivalent. As additional support of this point, further analyses showed that Nlrp3−/− mice were actually “slower” in the maze over this same period (Figure 7B) opposite to what would be predicted if differences in enhanced motor performance of Nlrp3 mutants confounded the interpretation of cognitive differences. To further confirm this effect, an additional cohort of WT and mutant mice were aged till 24 months at which time results show reduced numbers of errors made during maze acquisition in the older Nlrp3−/− mice (Figure 7C). No significant genotype effects were observed in open field and fear conditioning tests (Figure S6A, B). As further evidence that specific reduction in activation of the canonical Nlrp3 inflammasome activation, but not the caspase-11 inflammasome, drives many aging processes, aged caspase-11 null mice did not show any protection from age-related functional decline on rotarod or stone T- maze test (Figure S6C, D).
Similar to Il1r−/− animals, the 18- and 24-month old Nlrp3 deficient animals displayed enhanced performance on the rotarod (Figure 7D) and displayed significantly increased running time and distance on the treadmill (Figure 7E, F). Regarding age-sensitive pathological indices, aged Nlrp3 mutants displayed significantly reduced cataract formation (Figure 7G). Interestingly, unlike aged IL-1R deficient animals which were not protected from bone loss, the 24 month old Nlrp3 deficient mice had significantly increased cortical (Figure 7H, I) and trabecular bone thickness (Figure 7J, K). As further evidence that reduction in Nlrp3 inflammasome activation protects against age-related bone loss, the 24- month old Nlrp3−/− mice had significantly higher bone mineral content, bone mineral density and total bone area (Figure 7L, M, N). Aged Nlrp3−/− mice also exhibited greater cortical bone area (Figure. 7O), as well as a higher polar moment of inertia (Figure 7P and Figure S6E, F, G) as a functional measure of greater bone strength. No reduction in marrow volume in aged Nlrp3 deficient mice was detected, an important observation that rules out development of osteopetrosis due to dysfunctional osteoclast activity (Figure S6H, I). Furthermore, in support of prior data that aging does not engage non-canonical inflammasome, the aged Casp11−/− mice were not protected from age-related changes in cortical or trabecular bone mass and mineral density (Figure S7). In summary, these data demonstrates that specific inhibition of Nlrp3 inflammasome mediated caspase-1 activation controls age-related functional decline and IL-1 pro-inflammatory cascade is not the sole mediator of downstream effects of Nlrp3 inflammasome activation during aging.
DISCUSSION
The mouse and human genome encodes 34 and 23 NLR (Nod-like receptor) family members which can assemble into the inflammasome complex through homotypic protein-protein interactions (Martinon et al., 2009). It is currently not known whether age-related inflammation and inflammasome activation is regulated by specific NLRs. Importantly, Nlrp3 is unique among NLRs as it can sense a wide array of structurally diverse DAMPs and excessive Nlrp3 inflammasome activation has been implicated in chronic diseases such as Alzheimers diseases (Heneka et al 2013), diabetes (Vandanmagsar et al., 2011; Wen et al., 2011; Youm et al., 2011), atherosclerosis (Duewell et al 2010), arthritis and gout (Martinon et al., 2006). Given age is a common factor in development of all of the above chronic diseases, raised several questions. First, whether the IL-1β and IL-18 driven chronic inflammation during healthy aging process in absence of overt diseases is regulated by canonical or non-canonical inflammasome pathway? Second, whether IL-1 signalling downstream of inflammasomes is the major mechanism that controls age-related functional decline? This question has important translational implications in aging, because if IL-1β is a common trigger for age-related inflammation, it may be more efficient to use currently available IL-1 inhibitors instead of targeting multiple upstream inflammasomes and non-inflammasome dependent mechanisms that control IL-1activation. Third, the ‘inflammaging theory’ posits that “aging either physiologically or pathologically can be driven by the proinflammatory cytokines and substances produced by the innate immune system” (Franceschi et al., 2000; Goto., 2008). If the ‘inflammaging theory’ is correct, one should predict that an experimental manipulation of a specific innate immune sensing pathway should result in attenuation of age-related functional decline across multiple systems. Our results provide compelling evidence that the Nlrp3 inflammasome activation causes global age-related inflammation in multiple organs, with consequences such as thymic demise, impaired glycemic control, reduced memory and cognition, motor performance, cataracts and bone loss.
Given aging-associated inflammation is systemic and inflammasome is widely expressed in several organs, we examined age-related degenerative changes across multiple system. Our data provide evidence that age-related increase in caspase-1 in adipose tissue, hippocampus and thymus is partially controlled by the Nlrp3 inflammasome. Careful monitoring of body weight and composition of WT, Nlrp3−/−, Asc−/−, Il1r−/− and Casp11−/− animal cohorts maintained in SPF barrier and fed ad libitum normal chow diet revealed no significant change in adiposity at 24 months of age. Importantly, prior studies have shown that ablation of IL-18 induces hyperphagia, adiposity and insulin-resistance in mice, suggesting that IL-18 is required for improved glucose homeostasis (Netea et al., 2006). On the other hand, IL-1 is thought to play a predominant role in inducing insulin-resistance in response to HFD (Stienstra et al., 2011; McGillicuddy et al 2011). However, our studies revealed that during aging, mice fed normal chow diet, IL-1 is not required for mediating downstream effects of Nlrp3 inflammasome on glucose intolerance. It is now known that caspase-1 acts on multiple substrates including ones that control glycolysis (Shao et al., 2007) and Sirt1 which are relevant to aging and glucose homeostasis (Chalkiadaki and Guarente., 2012). Furthermore, caspase-1 is required for triglyceride clearance independently of IL-1 and IL-18 (Kotas et al., 2013). Importantly, our studies also revealed that improvement in insulin-sensitivity in Nlrp3 deficient mice is relatively late in age and that initiation of insulin-resistance is not a central event to development of degenerative disorders observed in aging. For example, aging of thymus precedes degenerative changes in many organs. Of note, the ablation of Nlrp3 protects against age-related thymic demise and restriction of T cell diversity before the emergence of metabolic dysfunction that appears in late life.
The non-canonical caspase-11 inflammasome can interact with caspase-1 via the CARD domain (Wang et al., 1998). Also, the caspase-11, and not caspase-1 is major sensor of LPS and regulates endotoxemia associated lethality in mice (Kayagaki et al., 2011). Importantly, recently work also shows that caspase-11 is a major sensor of LPS independently of TLR4, as priming of caspase-11 by sublethal dose of TLR3 agonists in Tlr4−/− mice and subsequent challenge of Tlr4−/− with LPS causes endotoxemia and morbidity (Kayagaki et al 2013). Given aging is associated with changes in gut microbiome (Claesson et al., 2012) and prior studies have reported circulating LPS as a potential cause of inflammation in metabolic syndrome (Creely et al., 2007), we also investigated if caspase-11 is involved in ‘inflammaging’ process through potential interaction with gut derived LPS. Our data further underscores the specificity of Nlrp3 inflammasome in causing ‘sterile’ age-related inflammation without the engagement of caspase-11 by potential age-related ‘metabolic endotoxemia’ caused by LPS leakage from GI tract.
Importantly, consistent with the “inflammaging theory’, we found that reduction in Nlrp3 inflammasome dependent pro-inflammatory cascade attenuated age-related degenerative changes across multiple organs. Prior studies have shown that astrogliosis is one of the mechanisms of age-related cognitive decline, and IL-1β is known to promote astrogliosis (Griffin et al., 1989; Morgan et al., 1999). In the CNS, we found that the Nlrp3 inflammasome is a major regulator of age-related increase in caspase-1 and IL-1β. Importantly, reduction in Nlrp3 attenuated astrogliosis in hippocampus. Global gene expression analyses revealed that age-related activation of innate immune regulators, such as complement and interferon, was down- regulated in Nlrp3 and Asc knockout mice. These data lend additional support to the recent evidence suggesting that complement activation promotes aging-related phenotypes (Naito et al., 2012). Consistent with our findings, treatment of acute onset demyelinating disorders in humans with IL-1 receptor antagonist Anakinra, reduces complement C3 (Broderick et al., 2013). Our data demonstrates that IL-1 is required for Nlrp3 inflammasome mediated age-related increase in complement C3 and interferon activation. Furthermore, IL-1 mediates in part, the age-related reduction in cognitive function and motor performance although, the elimination of Nlrp3 led to greater protection from cognitive decline.
Notably, enhanced lifespan in mice treated with rapamycin is associated with amelioration of few aging phenotypes and also leads to several detrimental effects such as increased cataract formation, testicular degeneration and reduced insulin-sensitivity (Lamming et al., 2012; Neff et al., 2013). Although, it remains unknown whether reduction in Nlrp3 activation can extend lifespan, our data demonstrate unequivocally that deletion of Nlrp3 inflammasome enhances healthspan and prevents functional decline in multiple organs, including protection against thymic demise, cataract development, glucose intolerance and also enhances cortical and trabecular bone mass. Surprisingly, despite an important role of IL-1 in osteoarthritis (Dinarello. 2011), during the process of healthy aging, bone loss was dependent on Nlrp3 but independent of downstream IL-1 signalling. Interestingly, the increase in cortical bone mass has been demonstrated to be a predictor of enhanced lifespan in mice (Miller et al., 2011). Based on our findings, future studies will be required to test the hypothesis that attenuation of age-related degenerative changes mediated by Nlrp3 inflammasome promotes longevity.
In summary, activation of the Nlrp3 inflammasome in response to accumulation of various DAMPs induces systemic chronic inflammation in aging. Our data suggests that dietary or pharmacological approaches to dampen Nlrp3 inflammasome activation may be more efficient than targeting downstream cytokines in disrupting the feed-forward loop of inflammation and age-related chronic diseases.
EXPERIMENTAL PROCEDURES
Mice and animal care
The Caspase11−/−, Nlrp3−/− and Asc−/− mice have been described (Mariathasan et al 2006; Kayagaki et al 2011). The Il1r−/− mice purchased from Jackson laboratories. All transgenic mice introduced in our colony were cross-fostered to our facilities with WT parent cohorts to minimize the confounding effects of alterations in microbiome. The WT littermates and mutant cohorts for aging studies were housed with a 12-hour light/12- hour dark cycle at 22°C. The mice were multi-housed and fed ad libitum normal chow diet consisting of 4.5% fat (5002; LabDiet) and aged in the specific-pathogen free barrier facility in ventilated cage racks that delivers HEPA filtered air to each cage with free access to sterile water through a hydropac system. Sentinel mice in our animal rooms were negative for currently tested standard murine pathogens (Ectromelia, EDIM, LCMV, Mycoplasma pulmonis, MHV, MNV, MPV, MVM, PVM, REO3, TMEV and Sendai virus) at various times while the aging studies were performed (RADIL, Research Animal Diagnostic Laboratory, Columbia, MO). All experiments and animal use were conducted in compliance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals and were approved by the Institutional Animal Care and Use Committee at Pennington Biomedical Research Center.
Antibodies
For FACS analysis the following antibodies (from eBiosciences Inc) were used: CD4-PerCP, CD8-APC, CD44-FITC and CD62L-PE. All the FACS data were analyzed by post collection compensation using FlowJO (Treestar Inc) software. The anti-GFAP and Iba1 antibodies were from Cell Signalling. For Western blot analysis: procaspase1, p20 antibodies were from Genentech. IL-1β, actin antibodies were from R&D.
Rotarod test and Stone T-maze
This test is a widely used functional assay for measuring balance and coordination in rodents that has shown age-related sensitivity in mice. For the current study the apparatus was manufactured by MED Associates (St. Albans, VT) and consists of a motor driven cylinder with variable speed control. The rotarod begins moving at 4 rpm, and over a period of 5 min accelerates to a speed of 40 rpm. The mouse is placed on top of the rotating cylinder at the slowest speed and permitted to locomotion until falling (about 10 cm). The latency to fall from the rotarod is recorded. Each mouse received a total of 5 trials with readout recorded as mean time spent on the rotarod over 5 trials.
The stone T maze test was performed as described previously (Pistell et al 2012) Briefly, mice were required to navigate through a complex T-maze to reach a goal box as a test of cognitive. Motivation to escape from the start box to the goal box involves the mouse wading through water (maintained at 21–24°C). During each trial, the number of errors committed and the latency to reach the goal box are recorded. The readouts for the assay are runtime and number of errors.
Treadmill test
A Columbus Instruments’ Eco 3/6 treadmill was used to analyze motor performance and endurance. The mice were motivated to run by an electric shock grid at the end of each lane. The mice were trained at a constant speed (8meters/minute) for 20 minutes on 3 consecutive days prior to the test, to allow proper acclimation (to the device) and avoid injury. On the day of the test, the speed was set to 8 meters per minute, increasing .5 meters every 5 minutes. The mice were allowed to run to exhaustion, which is after the 3rd time the mouse is unwilling to return to the treadmill and remains on the shock grid. The latency to exhaustion was recorded for each mouse.
Microarray analysis
The hippocampus from young (2month, n = 4/genotype) and old (22month n = 6/genotype) WT, Nlrp3−/− and Asc−/− female animals were used to extract total RNA (RNAeasy, Qiagen, Valencia, CA). Quality of RNA for array analysis was ascertained using an Agilent Bioanalyzer (Agilent Technologies, Santa Clara, CA). Biological replicates were amplified and labeled using the Epicentre TargetAmp Nano-g Biotin-aRNA Labeling Kit for the Illumina system. 750ng of labeled RNA was hybridized to MouseRef-8 v2 BeadChip arrays (Illumina) according to the manufacturer’s protocol. Array data were processed using Illumina GenomeStudio with respect to background subtraction and normalization. Data were initially filtered on p-value of detection, with the requirement that gene probes exhibit signal presence (i.e. p<0.05) either in all samples for a given pairwise comparison, or show presence in all samples on one side of the comparative paradigm but not the other. Differential expression was assessed using CyberT, using a t-statistic cutoff at p<0.05, and a fold-change cutoff in either direction at 1.2-fold. Confirmatory pairwise and ANOVA analyses of data were performed in parallel with Geospiza GeneSifter as described before. JMP Genomics and Cluster3 were used for hierarchical clustering of genes with a significant difference (−log10(p)>2.96) in at least one experimental group as compared to the wild-type old group. Venn analysis was performed with JMP Genomics and gene ontology enrichment was performed using Ingenuity Pathway Analysis.
Microarray data accession number
Microarray experiments were designed to comply with Minimum Information About a Microarray Experiment (MIAME) guidelines (Brazme et al., 2001) and deposited in NCBI’s Gene Expression Omnibus (Edgar et al., 2002). The data are accessible through GEO Series accession number GSE43034 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE43034).
Cytokine measurement
We measured the levels of IL-1, IL-6 (eBioscience) bead assay and IL-18 by ELISA (MBL, Japan) according to manufacturer’s instructions.
Immunohistochemistry
Cryosections from formalin perfused brain were cut at 30µm thickness on a sliding microtome. Free floating sections were stained with anti-GFAP and anti-Iba1 antibodies followed by fluorophore conjugated secondary antibodies as described previously. Livers were formalin fixed, paraffin embedded, and stained with H&E. Nuclei were counterstained with DAPI. For fluorescence microscopy, the images were acquired using a identical image acquisition time for all tissue sections. The images were acquired and analyzed using Leica TCS SP5 AOBS Resonant Scanning Multiphoton Confocal microscope. The imageJ software is used to quantitate the fluorescence analysis.
Real-time RT-PCR
Total RNA from mouse epididymal fat, liver, choroid plexus, hippocampus and cortex was extracted using RNeasy Lipid Tissue Mini Kit (Qiagen). Total RNA was digested by DNase (Invitrogen). The cDNA synthesis and real-time RT-PCR were performed as described previously (BioRad) (Vandanmagsar et al 2011). Quantitative Real-time RT-PCR analyses were completed in duplicate on the ABI PRISM 7900 Sequence Detector Taq Man system with the SYBR Green PCR kit as instructed by the manufacturer (Applied Biosystems). GAPDH or 36B4 was used for normalization of mouse genes. The list of real-time PCR primers is shown in Supplementary table 1.
Western Blot Analysis
Mouse fat, spleen, and hippocampus were collected and immediately snap frozen in liquid nitrogen, then tissues were homogenized in liquid nitrogen using pestle and mortar to get powdered tissue. The immunoblot analysis was performed as described previously (Youm et al 2012). The immune complexes were visualized by incubation with horseradish peroxidase-conjugated anti-rabbit or anti-rabbit secondary antibody (Amersham Biosciences). Immunoreactive bands were visualized by enhanced chemiluminescence (PerkinElmer Life Sciences).
Body Composition Analysis
Body composition parameters were measured using the Bruker minispec mq10 MRS (Bruker Optics, Germany). This analysis includes fat mass, lean tissue mass, free water, and today body water. Mice were placed in an acrylic tube with breathing holes and placed in the Minispec. The analyzer takes approximately 90 seconds and is based on Time Domain Nuclear Magnetic Resonance (TD-NMR) technology which provides precise measurements in vivo. Data analysis is automated, and numerical results are then stored and analyzed further for evaluation.
MicroCT
Fixed femurs in 70% ethanol were scanned using the GE Explore CT system at a voxel resolution of 20um from 720 views with a beam strength of 80kvp and 450uA. Integration time for each scan was 2000ms. Scans included bones from each condition and a phantom bone to standardize the grayscale values and maintain consistency between runs. Using the systems auto-threshold (800) and isosurface analysis confirmation, bone mineral density (BMD) and content (BMC), and thickness were computed. Cortical bone measurements are determined with a 2-mm3 region of interest (ROI) in the mid-diaphysis, with the exception of cortical bone mineral density (BMD) and content (BMC), which were made in a 0.1 mm3 cube. Cortical thickness, moment of inertia, cortical area, marrow area, total area, inner perimeter and outer perimeter as well as all trabecular parameters were computed using the GE Microview Software for visualization and analysis of volumetric image data.
Statistical Analyses
A two-tailed Student’s t test was used to test for differences between genotypes or treatments; *p<0.05 and p<0.01, **p<0.005 and p<0.001. The results are expressed as the mean ± SEM. The differences between means and the effects of treatments were determined by one-way ANOVA using Tukey’s test (Sigma Stat), which protects the significance (p < 0.05) of all pair combinations.
Supplementary Material
ACKNOWLEDGMENTS
We thank Dr. Vishva M. Dixit at Genentech Inc for providing anti-Caspase1 antibody, Caspase-11−/−, Nlrp3−/− and Asc−/− mice. We also thank Pramod Mishra, Sarah McDaniels and David Burk for excellent technical assistance. The research in Dixit lab is supported in part by US National Institutes of Health (NIH) grants AG043608, AI105097, DK090556 and the Pennington Foundation. HM was supported by NIH grant P20 RR02195 and JMS by NIH grant HD055528.The present work utilized the facilities of the Genomics and CBB Core facilities supported by Pennington Center of Biomedical Research Excellence (NIH 8P20 GM103528) and Nutrition and Obesity Research Center (NIH P30 DK072476).
REFERENCES
- 1.Axtell RC, Steinman L. Gaining entry to an uninflamed brain. Nat. Immunol. 2009;10:453–455. doi: 10.1038/ni0509-453. [DOI] [PubMed] [Google Scholar]
- 2.Brazma A, Hingamp P, Quackenbush J, Sherlock G, Spellman P, Stoeckert C, Aach J, Ansorge W, Ball CA, Caust HC, et al. Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nat. Genet. 2001;29:365–371. doi: 10.1038/ng1201-365. [DOI] [PubMed] [Google Scholar]
- 3.Broderick L, Gandhi C, Mueller JL, Putnam CD, Shayan K, Giclas PC, Peterson KS, Aceves SS, Sheets RM, Peterson BM, et al. Mutations of complement factor I and potential mechanisms of neuroinflammation in acute hemorrhagic leukoencephalitis. J. Cli. Immunol. 2013;33:162–171. doi: 10.1007/s10875-012-9767-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Chalkiadaki A, Guarente L. High-fat diet triggers inflammation-induced cleavage of SIRT1 in adipose tissue to promote metabolic dysfunction. Cell Metab. 2012;16:180–188. doi: 10.1016/j.cmet.2012.07.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Claesson MJ, Jeffery IB, Conde S, Power SE, O'Connor EM, Cusack S, Harris HM, Coakley M, Lakshminarayanan B, O'Sullivan O, et al. Gut microbiota composition correlates with diet and health in the elderly. Nature. 2012;488:178–184. doi: 10.1038/nature11319. [DOI] [PubMed] [Google Scholar]
- 6.Creely SJ, McTernan PG, Kusminski CM, Fisher fM, Da Silva NF, Khanolkar M, Evans M, Harte AL, Kumar S. Lipopolysaccharide activates and innate immune system response in human adipose tissue in obesity and type 2 diabetes. Am. J. Physiol. Endocrinol. Metab. 2007;292:740–747. doi: 10.1152/ajpendo.00302.2006. [DOI] [PubMed] [Google Scholar]
- 7.Cutler RG, Kelly J, Storie K, Pedersen WA, Tammara A, Hatanpaa K, Troncoso JC, Mattson MP. Involvement of oxidative stress-induced abnormalities in ceramide and cholesterol metabolism in brain aging and Alzheimer's disease. Proc. Natl. Acad. Sci. U S A. 2004;101:2070–2075. doi: 10.1073/pnas.0305799101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Czirr E, Wyss-Coray T. The immunology of neurodegeneration. J. Clin. Invest. 2012;122:1156–1163. doi: 10.1172/JCI58656. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Dinarello CA. Immunological and inflammatory functions of the interleukin-1 family. Annu. Rev. Immunol. 2009;27:519–550. doi: 10.1146/annurev.immunol.021908.132612. [DOI] [PubMed] [Google Scholar]
- 10.Duewell P, Kono H, Ravner KJ, Sirois CM, Vladimer G, Bauemfeind FG, Abela GS, Franch L, Núñez G, Schnurr M, et al. NLRP3 inflammasomes are required for atherogenesis and activated by cholesterol crystals. Nature. 2010;464 doi: 10.1038/nature08938. 1357-136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Edgar R, Domrachev M, Lash AE. Gene expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acid Res. 2002;30:207–210. doi: 10.1093/nar/30.1.207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ferrucci L, Corsi A, Lauretani F, Bandinelli S, Bartali B, Taub DD, Guralnik JM, Longo DL. The origin of age-related proinflammatory state. Blood. 2005;105:2294–2299. doi: 10.1182/blood-2004-07-2599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Franceschi C, Bonafè M, Valensin S, Olivieri F, De Luca M, Ottaviani E, De Benedictis G. Inflamm-aging. An evolutionary perspective on immunosenescence. Ann. N Y. Acad. Sci. 2000;908:244–254. doi: 10.1111/j.1749-6632.2000.tb06651.x. [DOI] [PubMed] [Google Scholar]
- 14.Franceschi C, Capri M, Monti D, Giunta S, Olivieri F, Sevini F, Panourgia MP, Invidia L, Celani L, Scurti M, et al. Inflammaging and anti-inflammaging: a systemic perspective on aging and longevity emerged from studies in humans. Mech. Ageing. Dev. 2007;128:92–105. doi: 10.1016/j.mad.2006.11.016. [DOI] [PubMed] [Google Scholar]
- 15.Frisardi V, Solfrizzi V, Seripa D, Capurso C, Santamato A, Sancarlo D, Vendemiale G, Pilotto A, Panza F. Metabolic-cognitive syndrome: a cross-talk between metabolic syndrome and Alzheimer's disease. Ageing. Res. Rev. 2010;9:399–417. doi: 10.1016/j.arr.2010.04.007. [DOI] [PubMed] [Google Scholar]
- 16.Goronzy JJ, Weyand CM. T cell development and receptor diversity during aging. Curr. Opin. Immunol. 2005;17:468–475. doi: 10.1016/j.coi.2005.07.020. [DOI] [PubMed] [Google Scholar]
- 17.Goto M. Inflammaging (inflammation+aging): A driving force for human aging based on an evolutionarily antagonistic pleiotropy theory? Biosci. Trends. 2008;2:218–230. [PubMed] [Google Scholar]
- 18.Green DR, Galluzzi L, Kroemer G. Mitochondria and the autophagy-inflammation-cell death axis in organismal aging. Science. 2011;333:1109–1012. doi: 10.1126/science.1201940. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Heneka MT. NLRP3 is activated in Alzheimer’s disease and contributes to pathology in APP/PS1 mice. Nature. 2013;493:674–688. doi: 10.1038/nature11729. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Henao-Mejia J, Elinav E, Jin C, Hao L, Mehal WZ, Strowig T, Thaiss CA, Kau AL, Eisenbarth SC, Jurczak MJ, et al. Inflammasome-mediated dysbiosis regulates progression of NAFLD and obesity. Nature. 2012;482:179–185. doi: 10.1038/nature10809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ippagunta SK, Malireddi RK, Shaw PJ, Neale GA, Walle LV, Green DR, Fukui Y, Lamkanfi M, Kanneganti TD. The inflammasome adaptor ASC regulates the function of adaptive immune cells by controlling Dock2-mediated Rac activation and actin polymerization. Nat. Immunol. 2011;12:1010–1016. doi: 10.1038/ni.2095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Kayagaki N, Warming S, Lamkanfi M, Walle LV, Louie S, Dong J, Newton K, Qu Y, Liu J, Heldens S, et al. Non-canonical inflammasome activation targets caspase-11. Nature. 2011;479:117–121. doi: 10.1038/nature10558. [DOI] [PubMed] [Google Scholar]
- 23.Kayagaki N, Wong MT, Stowe IB, Ramani SR, Gonzalez IC, Akashi-Takamura S, Miyake K, et al. Noncanonical Inflammasome Activation by Intracellular LPS Independent of TLR4. Science. 2013 Jul 25; doi: 10.1126/science.1240248. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 24.Kotas ME, Jurczak MJ, Annicelli C, Gillum MP, Cline GW, Shulman GI, Medzhitov R. Role of caspase-1 in regulation of triglyceride metabolism. Proc. Natl. Acad. Sci. USA. 2013;110:4810–4815. doi: 10.1073/pnas.1301996110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Lamming DW, Ye L, Katajisto P, Goncalves MD, Saitoh M, Stevens DM, Davis JG, Salmon AB, Richardson A, Ahima RS, et al. Rapamycin-induced insulin resistance is mediated by mTORC2 loss and uncoupled from longevity. Science. 2012;335:1638–1643. doi: 10.1126/science.1215135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Lu B, Nakamura T, Inouye K, Li J, Tang Y, Lundbäck P, Valdes-Ferrer SI, Olofsson PS, Kalb T, Roth J, et al. Novel role of PKR in inflammasome activation and HMGB1 release. Nature. 2012;488:670–674. doi: 10.1038/nature11290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Lumeng CN, Liu J, Geletka L, Delaney C, Delproposto J, Desai A, Oatmen K, Martinez-Santibanez G, Julius A, Garg S, Yung RL. Aging Is Associated with an Increase in T Cells and Inflammatory Macrophages in Visceral Adipose Tissue. J Immunol. 2011;187:6208–6216. doi: 10.4049/jimmunol.1102188. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Martinon F, Pétrilli V, Mayor A, Tardivel A, Tschopp J. Gout-associated uric acid crystals activate the NALP3 inflammasome. Nature. 2006;440:237–241. doi: 10.1038/nature04516. [DOI] [PubMed] [Google Scholar]
- 29.Martinon F, Mayor A, Tschopp J. The inflammasomes: guardians of the body. Annu. Rev. Immunol. 2009;27:229–265. doi: 10.1146/annurev.immunol.021908.132715. [DOI] [PubMed] [Google Scholar]
- 30.Mariathasan S, Weiss DS, Newton K, McBride J, O'Rourke K, Roose-Girma M, Lee WP, Weinrauch Y, Monack DM, Dixit VM. Cryopyrin activates the inflammasome in response to toxins and ATP. Nature. 2006;440:228–232. doi: 10.1038/nature04515. [DOI] [PubMed] [Google Scholar]
- 31.Masters SL, Dunne A, Subramanian SL, Hull RL, Tannahill GM, Sharp FA, Becker C, Franchi L, Yoshihara E, Chen Z, et al. Activation of the NLRP3 inflammasome by islet amyloid polypeptide provides a mechanism for enhanced IL-1β in type 2 diabetes. Nat. Immunol. 2010;11:897–904. doi: 10.1038/ni.1935. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.McGillicuddy FC, Harford KA, Reynolds CM, Oliver E, Claessens M, Mills KH, Roche HM. Lack of interleukin-1 receptor I (IL-1RI) protects mice from high-fat diet-induced adipose tissue inflammation coincident with improved glucose homeostasis. Diabetes. 2011;60:1688–1698. doi: 10.2337/db10-1278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Naito AT, Sumida T, Nomura S, Liu ML, Higo T, Nakagawa A, et al. Complement C1q activated canonical Wnt signaling and promotes aging-related phenotypes. Cell. 149:1298–1313. doi: 10.1016/j.cell.2012.03.047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Netea MG, Joosten LA, Lewis E, Jensen DR, Voshol PJ, Kullberg BJ, Tack CJ, van Krieken H, Kim SH, Stalenhoef AF, van de Loo FA, Verschueren I, Pulawa L, Akira S, Eckel RH, Dinarello CA, van den Berg W, van der Meer JW. Deficiency of interleukin-18 in mice leads to hyperphagia, obesity and insulin resistance. Nat. Med. 2006;12:650–666. doi: 10.1038/nm1415. [DOI] [PubMed] [Google Scholar]
- 35.Miller RA, Kreider J, Galecki A, Goldstein SA. Preservation of femoral bone thickness in middle age predicts survival in genetically heterogeneous mice. Aging Cell. 2011;10:383–391. doi: 10.1111/j.1474-9726.2011.00671.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Morgan TE, Xie Z, Goldsmith S, Yoshida T, Lanzrein AS, Stone D, Rozovsky I, Perry G, Smith MA, Finch CE. The mosaic of brain glial hyperactivity during normal ageing and its attenuation by food restriction. Neuroscience. 1999;89:687–699. doi: 10.1016/s0306-4522(98)00334-0. [DOI] [PubMed] [Google Scholar]
- 37.Naito AT, Sumida T, Nomura S, Liu ML, Higo T, Nakagawa A, Okada K, Sakai T, Hashimoto A, Hara Y, et al. Complement C1q activates canonical Wnt signaling and promotes aging-related phenotypes. Cell. 2012;149:1298–1313. doi: 10.1016/j.cell.2012.03.047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Okin D, Medzhitov R. Evolution of inflammatory diseases. Curr. Biol. 2012;22:733–740. doi: 10.1016/j.cub.2012.07.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Pistell PJ, Spangler EL, Kelly-Bell B, Miller MG, de Cabo R, Ingram DK. Age-associated learning and memory deficits in two mouse versions of the Stone T-maze. Neurobiol. Aging. 2012;33:2431–2439. doi: 10.1016/j.neurobiolaging.2011.12.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Ransohoff RM, Brown MA. Innate immunity in the central nervous system. J. Clin. Invest. 2012;122 doi: 10.1172/JCI58644. 1164-117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Ruggiero C, Cherubini A, Ble A, Bos AJ, Maggio M, Dixit VD, Lauretani F, Bandinell,i S, Senin U, Ferrucci L. Uric acid and inflammatory markers. Eur. Heart. J. 2006;27:1174–1181. doi: 10.1093/eurheartj/ehi879. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Shao W, Yeretssian G, Doiron K, Hussain SN, Saleh M. The caspase-1 digestome identifies the glycolysis pathway as a target during infection and septic shock. J. Biol. Chem. 2007;282:36321–36329. doi: 10.1074/jbc.M708182200. [DOI] [PubMed] [Google Scholar]
- 43.Stienstra R, van Diepen JA, Tack CJ, Zaki MH, van de Veerdonk FL, Perera D, Neale GA, Hooiveld GJ, Hijmans A, Vroegrijk I, et al. Inflammasome is a central player in the induction of obesity and insulin resistance. Proc. Natl. Acad. Sci. 2011;108:15324–15329. doi: 10.1073/pnas.1100255108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Strowig T, Henao-Mejia J, Elinav E, Flavell R. Inflammasomes in health and disease. Nature. 2012;481:278–286. doi: 10.1038/nature10759. [DOI] [PubMed] [Google Scholar]
- 45.Vandanmagsar B, Youm YH, Ravussin A, Galgani J, Stadler K, Mynatt RL, Ravussin E, Stephens JM, Dixit VD. The NLRP3 Inflammasome Instigates Obesity-Induced Inflammation and Insulin Resistance. Nat. Med. 2011;17:179–188. doi: 10.1038/nm.2279. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Wang S, Miura M, Jung YK, Zhu H, Li E, Yuan J. Murine caspase-11, and ICE-interacting protease, is essential for the activation of ICE. Cell. 1998;92:501–509. doi: 10.1016/s0092-8674(00)80943-5. [DOI] [PubMed] [Google Scholar]
- 47.Wen H, Gris D, Lei Y, Jha S, Zhang L, Huang MT, Brickey WJ, Ting JP. Fatty acid-induced NLRP3-ASC inflammasome activation interferes with insulin signaling. Nat. Immunol. 2011;12:408–415. doi: 10.1038/ni.2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Neff F, Flores-Dominguez D, Ryan DP, Horsch M, Schroder S, et al. Rapamycin extends murine lifespan but has limited effects on aging. J. Clin. Invest. 123:3272–3291. doi: 10.1172/JCI67674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Youm YH, Adijiang A, Vandanmagsar B, Burk D, Ravussin A, Dixit VD. Elimination of the NLRP3-ASC inflammasome protects against chronic obesity-induced pancreatic damage. Endocrinology. 2011;152:4039–4045. doi: 10.1210/en.2011-1326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Youm YH, Kanneganti TD, Vandanmagsar B, Zhu X, Ravussin A, Adijiang A, Owen JS, Thomas MJ, Francis J, Parks JS, Dixit VD. The NLRP3 Inflammasome Promotes Age-related Thymic Demise and Immunosenescence. Cell Reports. 2012;1:56–68. doi: 10.1016/j.celrep.2011.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
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