Abstract
Aging, chronic high-fat diet feeding, or housing at thermoneutrality induces brown adipose tissue (BAT) involution, a process characterized by reduction of BAT mass and function with increased lipid droplet size. Single nuclei RNA sequencing of aged mice identifies a specific brown adipocyte population of Ucp1-low cells that are pyroptotic and display a reduction in the longevity gene syntaxin 4 (Stx4a). Similar to aged brown adipocytes, Ucp1-STX4KO mice display loss of brown adipose tissue mass and thermogenic dysfunction concomitant with increased pyroptosis. Restoration of STX4 expression or suppression of pyroptosis activation protects against the decline in both mass and thermogenic activity in the aged and Ucp1-STX4KO mice. Mechanistically, STX4 deficiency reduces oxidative phosphorylation, glucose uptake, and glycolysis leading to reduced ATP levels, a known triggering signal for pyroptosis. Together, these data demonstrate an understanding of rapid brown adipocyte involution and that physiologic aging and thermogenic dysfunction result from pyroptotic signaling activation.
Subject terms: Post-translational modifications, Endocrine system and metabolic diseases, Metabolism
Aging, chronic high-fat diet feeding, or housing at thermoneutrality induces brown adipose tissue (BAT) involution. Here, the authors demonstrate that physiologic aging induced involution and thermogenic dysfunction result from pyroptotic signalling activation.
Introduction
Adipose tissue plays a myriad of roles in the maintenance of normal physiology, and dysregulation of its functions can result in severe metabolic disorders. There are three general classes of adipocytes, referred to as white, brown and beige adipocytes1–4. White adipocytes primarily function as an energy reservoir by accumulating fatty acids in the form of triglycerides during periods of energy excess and releasing fatty acids during periods of energy deficiency5,6. In addition, white adipocytes play an important endocrine function through the secretion of a variety of adipokines and lipokines as mediators that have potent regulatory actions7–9. Brown and beige adipocytes also have important endocrine functions but primarily serve as thermogenic tissue by activating a variety of futile cycles resulting in substantial heat generation during periods of cold stress10–14. In rodents, the major difference between brown and beige adipocytes is that brown adipose tissue (BAT) depots are present throughout life while beige adipocytes are inducible and arise from within the white adipose tissue depots3. Humans are born with both white and brown adipose tissue, but the major BAT depot, interscapular brown adipose tissue (iBAT), disappears by the second to third decade of life15–17. Recent studies have shown that a subset of adult humans have brown-like adipose tissue in cervical, supraclavicular, axillary, paravertebral, and perirenal regions that are cold-inducible18,19. However, it remains debatable whether these human depots are the equivalent of brown or beige adipose tissue in rodents20,21.
In any case, classic mouse BAT undergoes an age-dependent degeneration process termed involution which is characterized by increased lipid deposition, increased size of lipid droplets, decreased mitochondria mass with reduction of thermogenic specific genes expression, and reduction in thermogenic activity22–24. This degenerative process can also be mimicked by maintaining mice at thermoneutrality ( ~ 28–30 °C) or by chronic high-fat diet feeding21,25. Since low BAT thermogenic activity is associated with poor metabolic health, reactivation and/or prevention of BAT involution has major therapeutic potential. However, the mechanisms responsible for the mal-adaptive BAT processes particularly during aging remain poorly understood.
Previous studies have shown that the whole-body overexpression of the SNARE (soluble N-ethylmaleimide-sensitive-factor attachment protein receptor) protein syntaxin 4 (STX4) increases longevity and improves body glucose metabolism26. Tissue-specific STX4 overexpression in beta cells improves insulin secretion and overexpression in skeletal muscle improves mitochondrial function26,27. We have found that aging-induced iBAT involution correlated with a reduction in STX4 expression, activation of pyroptotic signaling and loss of iBAT thermogenic activity. We reasoned that deficiency of STX4 in brown adipocytes should therefore impair thermogenic function whereas re-expression of STX4 protein in aged mice should preserve BAT function. We provide evidence that brown adipocyte STX4 deficiency mimics many of the involution characteristics that occur during aging, thermoneutrality and chronic high-fat diet feeding. More importantly, we identified a pyroptotic signaling pathway driven by Caspase1/11 activation, which is responsible for the loss of brown adipocyte mass and decrease in thermogenic activity probably through a dedifferentiation process generating Ucp1-low expressing brown adipocytes from Ucp1-high brown adipocytes. Moreover, tissue-specific STX4 overexpression in brown adipocytes or suppression of pyroptosis activation protects against the decline in both mass and thermogenic activity in the aged and Ucp1-STX4KO mice.
Results
Involution of brown adipocytes with aging is associated with the increase of pyroptotic Ucp1-low population
It is well established that during the normal aging process of mice, involution of iBAT results in a small decrease in mass with thermogenic dysfunction along with apparent “whitening” of the brown adipocytes through an increase in lipid droplet size and reduction in the number of small multiloculated lipid droplets23,28. To assess the cellular changes that occur during iBAT aging, we performed single-nuclei RNA-sequencing (snRNAseq) analyses using a modified version of our established protocol29. Figure 1a displays a combined UMAP plot of cell clusters from 2-, 12- and 24- month-old mouse iBAT, with the upper UMAP plots showing the presence of the adipocyte clusters, and the lower UMAP plots including the fibroblast, endothelial, and progenitor cell clusters. Additionally, there is a very small group of cells that display characteristics typical of both adipocytes and macrophages, that we termed indeterminate. In 2-month-old iBAT, there is one primary brown adipocyte cluster that can be defined by high levels of Ucp1 (Fig. 1b). In 12-month-old iBAT there is a small decrease in this Ucp1-high adipocyte population associated with a small increase in a Ucp1-low expressing adipocyte population (Fig. 1b). While, as the mice further age to 24 months, there is a further decline in the Ucp1-high population and increase of Ucp1-low adipocyte cell population. The heat map in Fig. 1c shows the relative expression of several brown adipocyte markers in the two adipocyte clusters as a function of age. The Ucp1-high adipocytes also display high levels of brown adipocyte specific markers, which are substantially reduced in the Ucp1-low adipocyte population (Fig.1c). Pyroptosis is a specific form of inflammatory programmed cell death that results from the assembly of inflammasome complex that stimulates Caspase1 and/or 11 activation, which in turn cleaves Gasdermin D, interleukin 1b (IL-1β) and interleukin 18 (IL-18)30–32. Violin plots demonstrated that both the aged (12 and 24 months) brown adipocytes display higher levels of pyroptotic gene markers than 2-month-old brown adipocytes in the Ucp1-low population (Fig. 1d). In contrast, there is no significant effect of age on the expression of pyroptotic gene markers in the Ucp1-high population and fibroblast cell population (Fig. 1d). RNA velocity analyses by inferred trajectories33,34 indicate that there is an apparent cellular interconversion between the Ucp1-low and Ucp1-high adipocyte populations (Fig. 1e). In addition, a subpopulation of the Ucp1-low adipocytes appears to have a de-differentiating trajectory.
To confirm this data, we isolated iBAT brown adipocytes (BA) and stromal vascular fraction (SVF) from 2- and 18-month-old mice. The expression of the adipocyte marker adiponectin (Adipoq) was 30 to 50-fold higher in brown adipocytes compared to SVF (Supplementary Fig. 1a). In contrast, the expression of Adgre1 (macrophage marker) was 10 to 17-fold higher in the SVF than in the brown adipocytes (Supplementary Fig. 1b), confirming the successful separation of the two fractions. The expression levels of Ucp1 and adiponectin were decreased while pyroptotic genes Casp1, Casp11, Nlrp3, Il18 and Il1b were increased in the brown adipocytes from 18month-old mice (Supplementary Fig. 1c). In the SVF fraction, the 18-month-old mice had increased expression of Adgre1, Casp1, Nlrp1b, and Il1b (Supplementary Fig. 1d). These data indicate that both the brown adipocytes and stromal vascular cells within brown adipose tissue display induction of pyroptotic gene expression in aged mice. Consistent with morphological iBAT involution, phase contrast microscopy demonstrated an increase in lipid droplet size in the iBAT of aged mice along with decreased UCP1 labeling in various regions within the tissue (Supplementary Fig. 1e).
Overexpression of STX4 in brown adipocytes protects against iBAT involution
In our snRNAseq data, the average expression level of Stx4a is 0.246 UMI count for Ucp1-high and 0.073 for Ucp1-low. Consistently, the Stx4a mRNA levels were also decreased in the isolated brown adipocytes from the aged male mice (Supplementary Fig. 1c). Moreover, immunoblotting demonstrated the downregulation of STX4 protein in the 12- and 24-month-old male mice compared to 2-month-old male mice (Supplementary Fig. 1f, g). Moreover, there was also a clear decline in both STX4 protein and UCP1 protein in 17-month-old female mice compared to 1-month-old female mice (Supplementary Fig. 1h, I, j) consistent with the findings in male mice. Previous studies have reported that STX4 can function as a healthy longevity gene26. If the reduction in STX4 expression is an important event in the involution of BAT, then maintaining normal levels of STX4 should prevent the functional decline of brown adipocytes. To address this, we inserted a cassette consisting of loxP-tPA (triple polyA signal)-loxP-mouse Stx4a cDNA into intron 1 of Rosa26 locus by CRISPR/HDR strategy, then crossed this transgenic line with Ucp1-Cre mice to generate a brown adipocyte-specific STX4 transgenic mice (Ucp1-STX4TG or STX4-TG mice) (Supplementary Fig. 2a). Expression of a single copy of the STX4-TG resulted in an approximate 2-fold increase in Stx4a mRNA and an approximate 1.5-fold increase in STX4 protein (Supplementary Fig. 2b–d), but with no change in Stx4a mRNA in the SVF (Supplementary Fig. 2b).
To induce BAT involution, 4-month-old control wild-type (WT) and STX4-TG mice were maintained at thermoneutrality for 1, 2 and 18 weeks and then directly shifted from 29 °C to 4 °C (Fig. 2a). The STX4-TG mice displayed a significant protection against hypothermia compared to the control wild-type mice after 1, 2 and 18 weeks of housing at thermoneutrality (Fig. 2b–d). Although the expression of adipocyte gene marker (Adipoq) was unchanged in the STX4-TG mice, the expression levels of Caspase1, 11 and Il1b were reduced (Fig. 2e). Despite no change in Ucp1 mRNA level, UCP1 protein levels were increased in the iBAT from the STX4-TG mice along with reduced NLRP1b cleavage (activation) protein levels (Fig. 2f–h). In parallel, plasma IL-1β levels were reduced (Fig. 2i), and a protection against the morphological appearance of whitening with the presence of brown adipocytes containing smaller multi-locular lipid droplets in the STX4-TG mice (Fig. 2j). The STX4-TG mice also displayed improved insulin sensitivity compared to control wild-type mice (Fig. 2k). To examine any potential sexual dimorphism, we compared the effect of the STX4-TG mice at thermoneutral conditions between male and female mice (Supplementary Fig. 2e–j). Both male and female STX4-TG mice displayed reduced body mass and fat mass gain with no change in lean mass. We also found that there was a significant reduction in scWAT weight of WT male mice following 8 months under thermoneutral conditions (Supplementary Fig. 2l). In addition, the female STX4-TG mice also displayed protection against cold-induced hyperthermia similarly to that observed for the male mice (Supplementary Fig. 2k). To determine the effect of STX4-TG on aged-induced involution, 17-month-old STX4-TG female mice BAT tissue demonstrated an increase in both UCP1 mRNA and protein levels (Supplementary Fig. 2m–o).
Knockout of STX4 in brown adipocytes leads to age-dependent involution of brown adipose tissue and activation of pyroptosis
To further confirm the function of STX4 in brown adipose tissue, we then generated brown adipocyte-specific STX4-deficient mice by crossing floxed STX4 mice with Ucp1-Cre mice to generate Ucp1-Cre+/–STX4fl/fl (Ucp1- STX4KO or KO) mice. Quantitative real-time PCR (RT-qPCR) demonstrated an approximate 90% reduction in Stx4a mRNA from the purified brown adipocytes of Ucp1- STX4KO mice compared with control Ucp1-Cre+/– or STX4fl/fl mice (WT), but no change in Stx4a mRNA from the purified stromal vascular fraction (SVF) compared to WT mice (Supplementary Fig. 3a).
There were no significant differences in body weight of Ucp1- STX4KO mice when compared to their wild-type (WT) littermates across the age range of 2–9 months and the data for 5-month-old male mice as shown in Supplementary Fig. 3b. The weight of the subcutaneous white adipose tissue (scWAT) in the Ucp1- STX4KO mice was also not significantly different compared to wild-type (WT) littermates at 5 months of age (Supplementary Fig. 3c). Although the Ucp1- STX4KO mice visually appeared normal, dissection revealed a marked decline in interscapular brown adipose tissue (iBAT), without any significant effect on white adipose tissue (Fig. 3a). The reduction in iBAT mass occurred as a function of age with near complete ablation by 9 months of age (Fig. 3b). Despite only an approximate 40% reduction of iBAT in the 2-month-old mice, they displayed a marked increase in cold-induced hyperthermia compared to the control wild-type (WT) mice (Fig. 3c).
To investigate the molecular basis for the loss of iBAT mass, we perform bulk RNA sequencing of iBAT at 2 months of age. The heatmap shown in Supplementary Fig. 3d displays the differentially expressed genes between WT and Ucp1-STX4KO mice (n = 4 for each group). KEGG pathway enrichment analysis indicated that thermogenesis is the most significantly down-regulated pathway in the Ucp1-STX4KO mice shown in the reduction of several pathways including oxidative phosphorylation, branched amino acid metabolism, and fatty acid degradation (Supplementary Fig. 3e), all of which are linked to brown fat thermogenesis35. In contrast, pyroptosis, inflammatory signaling, and oxidative stress pathways were increased in the Ucp1-STX4KO mice (Supplementary Fig. 3f, g). Further analyses of the RNA sequencing data demonstrated that many of the pyroptotic signaling gene family members were upregulated in the iBAT of the UCP1-STX4KO mice (Fig. 3d). Quantitative real-time PCR (RT-qPCR) for several of these gene markers confirmed a 2- to 8-fold elevation in mRNA in the iBAT of the Ucp1-STX4KO mice (Fig. 3e), resembling pyroptosis activation in aged BAT shown in Fig. 1.
Immunohistochemistry demonstrated the presence of cleaved (activated) Caspase1, and quantification indicated a 3-fold increase in iBAT of the Ucp1-STX4KO mice (Fig. 3f, g). Consistent with these data, immunoblotting demonstrated a decrease in the total amount of full-length Caspase1 with a concomitant increase in cleaved Caspase1 (Fig. 3h). Furthermore, there was a marked induction of the Nod-like receptor NLRP1b protein in the Ucp1-STX4KO brown adipose tissue, but without any significant change in NLRP3 or AIM2 proteins (Fig. 3i). Since pyroptosis is an inflammatory cell death process, we also observed a clear loss of brown adipocytes as detected by the reduction in perilipin staining and increased presence of macrophages in the iBAT of the Ucp1-STX4KO mice (Fig. 3j, k).
To dissect the cellular heterogeneity of Ucp1-STX4KO at a single-cell resolution, we conducted snRNAseq on brown adipocytes derived from both WT and Ucp1-STX4KO mice. Our analysis revealed the presence of one major Ucp1- high and Ucp1-low adipocyte cell cluster (Supplementary Fig. 4a). Ucp1 mRNA expression is significantly higher in Ucp1-high compared to Ucp1-low (Supplementary Fig. 4b). Notably, in the Ucp1-STX4KO mice there was a marked increase in the Ucp1-low adipocyte clusters with a parallel reduction in the Ucp1-high adipocyte clusters compared to WT mice (Supplementary Fig. 4c). The heat map of pyroptotic and adipocyte marker genes displayed a similar pattern to the aged iBAT, that is the Ucp1-low cluster expressed higher levels of pyroptotic gene markers whereas the Ucp1-high clusters displayed higher levels of adipocyte marker gene (Supplementary Fig. 4d). In addition, RNA velocity analyses were suggestive of interconversion between the Ucp1-high and Ucp1-low adipocyte populations as well as of a portion of the Ucp1-low adipocytes undergoing de-differentiation (Supplementary Fig. 4e). The reduction in UCP1 protein in a subset of the brown adipocytes is also readily visualized by immunofluorescence (Supplementary Fig. 4f). Together, these data support the hypothesis that STX4 deficiency mimics, at least in part, the aged-induced involution of brown adipose tissue.
Inhibition of Caspase 1/11 mediated-pyroptosis prevents involution of brown adipose tissue in STX4 knockout mice
As Caspase1/11 is the downstream effector of pyroptosis signaling, we next determined the in vivo consequence of pharmacological Caspase1/11 inhibition. Littermate control (WT) and Ucp1-STX4KO mice were injected with vehicle or selective Caspase1/11 inhibitor VX-765 compound for 2 months, 3 times per week, starting at 6 weeks of age. The vehicle-treated Ucp1-STX4KO mice displayed a reduction in iBAT mass compared to control mice whereas the VX-765-treated Ucp1-STX4KO mice had a smaller reduction in iBAT mass (Supplementary Fig. 5a). In parallel, the VX-765-treated Ucp1-STX4KO mice were also significantly protected against acute cold challenge induced hypothermia compared to the vehicle-treated Ucp1-STX4KO mice (Supplementary Fig. 5b).
Since this experimental paradigm resulted in only a partial protection against the loss of iBAT mass and cold-induced hypothermia, we speculated that brown adipocytes were already undergoing pyroptotic cell death by the time we started VX-765 treatment. Therefore, we next took advantage of inducible Ucp1-CreERT2 mice crossed with the STX4fl/fl mice in which we could pharmacologically treat the mice right after inducing STX4 deficiency (Fig. 4a). Using this approach there was an effective loss of STX4 protein in the inducible Ucp1-STX4KO (Ind-KO) mice whether they were treated with vehicle or VX-765 (Fig. 4b). As shown in Fig. 4b, VX-765 reduced the cleavage of Caspase1. But since VX-765 is an inhibitor of Caspase1/11 enzymatic activity this intervention should not affect upstream signaling events. Analyses of the upstream pyroptotic signaling pathway demonstrated that VX-765 treatment did not suppress the expression of Caspase1 per se, or Nlrp1b mRNA but did block the increase in Il18 and Il1b as well as macrophage infiltration (Fig. 4c). Although VX-765 did not affect total body weight (Fig. 4d) and subcutaneous white adipose tissue mass (Fig. 4e), there was protection against the loss of iBAT mass (Fig. 4f). In line with this, VX-765 almost completely protected Ind-KO from acute cold-induced hypothermia (Fig. 4g). Importantly, the Caspase3 inhibitor (Z-DEVD-FMK) was not protective against the activation of Caspase1 nor the reduction of iBAT mass (Fig. 4h–k). Taken together these data support a model in which STX4 deficiency induces brown adipocyte cell death through a pyroptosis signaling pathway leading to the activation of the key effector caspases 1 and/or 11.
Inhibition of Caspase1/11 mediated-pyroptosis prevents the involution of brown adipose tissue with aging
Since STX4 deficiency appears to mimic the aging process of iBAT, albeit in an accelerated fashion, and single nuclei RNAseq is non-quantitative, we next determined pyroptosis gene expression markers by quantitative RT-PCR in iBAT from 2-, 12- and 24-month-old mice (Fig. 5a). Several pyroptotic mRNAs (Casp1, Aim2, Nlrp1b, Il18, Adgre1 and Tnfa) were significantly increased in iBAT at both 12- and 24-month old mice compared to 2- month old mice concomitant with a reduction in both Ucp1 and Stx4a mRNA (Fig. 5a). Immunoblotting confirmed the downregulation of UCP1 and STX4 proteins along with the upregulation of NLRP1b protein in the 12- and 24-month-old mice (Fig. 5b, Supplementary Fig. 1f, g). Quantification of NLRP1b and UCP1 protein levels are shown in Fig. 5c, d. We also observed a loss of brown adipocytes as detected by the reduction in perilipin staining in 24-month-old mice (Fig. 5e, f). Collectively, these data demonstrate that the activation of pyroptosis observed in the brown adipocyte specific STX4 deficiency model also occurs during physiological aging.
To determine if pharmacological inhibition of Caspase1/11 can also prevent age-associated iBAT involution, 8-month-old mice were placed under thermoneutrality to induce whitening and were injected with VX-765 or Z-DEVD-FMK (a selective Caspase3 inhibitor) for 4 months. VX-765 treatment reduced the plasma levels of IL-18 compared to vehicle or Z-DEVD-FMK-treated mice (Fig. 5g). Treatment with VX-765 or Z-DEVD-FMK had no effect on body weight or subcutaneous white adipose tissue mass (Fig. 5h, i), but VX-765-treated mice displayed a small increase in the amount of iBAT mass (Fig. 5j). In parallel, the VX-765-treated mice also display greater protection against hypothermia compared to vehicle or Z-DEVD-FMK-treated mice (Fig. 5k). These data suggests that the loss of iBAT mass and thermogenic function during aging is also, at least in part, mediated by a Caspase1/11 activated pyroptosis.
Knockout of STX4 causes Caspase 1/11-mediated pyroptosis in a cell-autonomous manner
We next accessed whether STX4 deficiency induced pyroptosis activation and subsequent cell death in a cell-autonomous manner. To accomplish this, we isolated brown adipocytes progenitors from the STX4fl/fl mice and then differentiated them into brown adipocytes. Brown adipocytes were differentiated for 6 days and then were infected with either an adenovirus expressing Cre (Ade-Cre) or a control (Ade-CMV). Ten days post infection there was a near complete ablation of STX4 protein with a marked reduction of UCP1 protein concomitant with increased cleaved Caspase1 (Fig. 6a). Quantitative real-time PCR data demonstrated the decreased expression of Stx4a and Ucp1 mRNA in the STX4KO brown adipocytes associated with the increased mRNA expression of the pyroptotic genes Casp1, Nlrp1b and Il18 (Fig. 6b). Moreover, the STX4KO adipocytes displayed reduced number of nuclear positive HMGB1 staining (marker of cell death, Fig. 6c, d) and increased secretion of mature IL-18 from medium (Fig. 6e).
To determine if the adipocyte death was a result of activated pyroptosis, we differentiated STX4fl/fl primary brown adipocyte progenitor cells and treated the cells with vehicle or the Caspase1/11 inhibitor (VX-765) and Caspase3 inhibitor (Z-DEVD-FMK) 3 days after infection with Ade-CMV or Ade-Cre (Fig. 6f). STX4KO brown adipocytes displayed higher Caspase1 activity in vehicle and Z-DEVD-FMK-treated cells whereas VX-765 treatment significantly reduced Caspase1 activity. In the control, Ade-CMV infected cells there were few positive propidium iodine (PI) staining cells indicating that most cells maintained their plasma membrane integrity (Fig. 6g). In contrast, following infection with Ade-Cre there was a high percentage ( ~ 30%) of PI-positive cells. However, treatment with the Caspase1/11 inhibitor (VX-765) significantly suppressed the number of PI-positive cells to 10% (Fig. 6g, h). We also confirmed these findings by measuring the activity of lactate dehydrogenase released into the media as another indicator of cell death (Fig. 6i). To further confirm that the activation of pyroptosis through Caspase1/11, we made STX4KO brown adipocytes that were infected with lentivirus encoding a random (NMshRNA), Caspase1 (Casp1shRNA), Caspase3 (Casp3shRNA) or Caspase11 (Casp11shRNA). Immunoblotting demonstrated the effectiveness and specificity of the different shRNAs to reduce the protein levels of each target (Supplementary Fig. 5c, d). Propidium iodine (PI) labeling indicated a marked increase in the number of PI-positive (dead) cells in the STX4KO compared to wild-type (Supplementary Fig. 5e, f). Although Caspase3 knockdown had a small protective effect, the knockdown of Caspase1 and Caspase11 substantially reduced the extent of PI labeling. In addition, there was no significant difference in the release of lactate dehydrogenase activity in the Caspase3 knockdown, but both Caspase1 and Caspase11 reduced cell death almost back to wild-type levels (Supplementary Fig. 5g). These data further support that the activation of Caspase1/11 is downstream of STX4 in a cell-autonomous manner and functionally responsible for the brown adipocyte cell death.
STX4 functions as a regulator of energy metabolism
The pyroptosis pathway can be activated by both extrinsic (pathogens) and intrinsic signals30,36–40. To investigate the molecular mechanisms of STX4-regulated brown adipocyte pyroptosis, we developed an inducible brown adipocyte cell line by taking Stx4fl/fl brown adipocyte progenitor cells and transfecting them with SV40 lentivirus, and retrovirus CreERT2 (Supplementary Fig. 6a). Following 6 days of brown adipocyte differentiation, the cells were treated with 4-hydroxy-tamoxifen (4-OHT) for 4 days, which led to a near complete loss of Stx4a mRNA by day 10 (Supplementary Fig. 6b) and a near-total depletion of STX4 protein by day 12 (Fig. 7a). Concurrently, there was an increase in cleaved Caspase1 protein, indicating pyroptosis activation. In parallel, the STX4KO cell line displayed increased cell death as determined by propidium iodide (PI) labeling at day 16, but not at day 12 (Fig. 7b). Therefore, we used day 12 brown adipocytes for subsequent experiments to identify the signaling mechanisms and molecular events responsible for the pyroptosis activation of cell death.
Targeted metabolic profiling revealed a clear separation of the control and STX4KO cell lines by PCA analysis (Supplementary Fig. 6c). In particular the SXT4KO cells had decreased levels of pyruvic acid, lactic acid, and 3-phosphoglyceric acid, along with increased beta-glycerophosphate levels (Fig. 7c), that is indicative for the down-regulation of glycolysis41. Seashore flux analyses of the extracellular acidification rate (ECAR) was reduced in the STX4KO brown adipocytes (Fig. 7d, e). The reduction in ECAR was also consistent with a reduction in insulin and norepinephrine-stimulated glucose uptake (Fig. 7f) that is dependent upon STX4-mediated GLUT4 and GLUT1 vesicle fusion with the plasma membrane42–46. Consistent with the reduction in ECAR being due to decreased glucose uptake, when pyruvate was used to bypass glucose uptake, ECAR was unaffected in the Ucp1-STX4KO brown adipocytes (Supplementary Fig. 6d). In addition to the reduction in glycolysis, the STX4KO brown adipocytes also displayed reduced maximal oxygen consumption rate (OCR) and reserve oxygen consumption capacity (Fig. 7g, h) with reduced norepinephrine stimulated OCR (Fig. 7i, j). The combination of reduced glycolysis coupled with reduced mitochondria electron chain activity resulted in decreased cellular ATP levels (Fig. 7k), which has been identified as cell-intrinsic pyroptosis activation signal36. Importantly, there was no change in mitochondria number (Fig. 7l) demonstrating that the defect in oxygen consumption is likely due to a direct effect on mitochondrial dysfunction.
STX4 can localize to the inner mitochondria membrane and regulates UCP1 protein stability
In addition to its plasma membrane localization, STX4 has been found to be localized to the mitochondria in skeletal muscle, where it regulates mitochondrial fission47. Subcellular fractionation of wild-type and STX4KO brown adipocytes revealed that although the majority of the endogenous STX4 protein is present in non-mitochondrial membranes there was a significant amount of STX4 located in the mitochondria (Fig. 8a). Moreover, protease K digestion to degrade outer mitochondria proteins (TOM70) demonstrated that STX4 is localized to the inner mitochondrial membrane as it was resistant to protease K digestion similarly to a bona fide inner mitochondrial membrane protein, COX IV (Fig. 8b and Supplementary Fig. 6e). Furthermore, we consistently observed a lower UCP1 protein level in STX4KO brown adipocytes compared to wild-type control (Figs. 6a and 8c), even before any change in Ucp1 mRNA (Supplementary Fig. 6b). This finding prompted us to investigate whether UCP1 protein degradation is increased by STX4 deficiency that may precede mitochondria dysfunction. To address this issue, we labeled wild-type control and STX4KO cultured adipocytes with stable isotopes labeled histidine and cysteine for 2 days that were subsequently chased with unlabeled amino acids. Quantification of the heavy (H) isotope labeled UCP1 protein divided by the unlabeled light protein (L) indicated a more rapid degradation of UCP1 in the STX4KO adipocytes (Fig. 8d). Recently it had been reported that UCP1KO mice display a reduction in electron chain proteins with impaired mitochondrial function48. Consistent with these findings, western blotting for several electron chain complex proteins demonstrated a substantial reduction in brown adipose tissue from UCP1KO mice (Supplementary Fig. 6f). Similarly, the same electron chain complex subunit proteins were also decreased in brown adipose tissue from STX4KO mice, suggesting a direct relationship between UCP1 and STX4 in maintaining mitochondrial function. Transmission electron microscopy of BAT mitochondria from the Ucp1-STX4KO mice clearly indicates a marked reduction in the mitochondria area and cristae density in the Ucp1-STX4KO mice (Supplementary Fig. 6g–i), similar to that reported for UCP1KO mice48. In parallel, we found a downregulation of STX4 protein levels in UCP1KO mice (Supplementary Fig. 7a, b). Although UCP1KO mice do not display any increase in pyroptosis signaling when maintained at normal ambient temperature (Supplementary Fig. 7c), UCP1KO brown adipocytes are more sensitive to cell death in the presence of 2-deoxyglucose to suppress glycolysis (Supplementary Fig. 7d, e).
We next isolated mitochondria from wild-type BAT that was crosslinked with or without DSP (3,3-Dithio- bis- (sulfosuccinimidyl) propionate). STX4 immunoprecipitation demonstrated the co-immunoprecipitation of UCP1 and SNAP23, but not TOM70 or COX IV (Supplementary Fig. 7f). To further confirm the interaction between STX4 and UCP1, we overexpressed STX4-Myc and UCP1-Flag in 293T cells for 24 hrs and performed immunoprecipitation and immunostaining using Flag or Myc antibodies. Immunoprecipitation of STX4-Myc resulted in the co-precipitation of UCP1-Flag and immunoprecipitation of UCP1-Flag resulted in the co-precipitation of STX4-Myc (Fig. 8e). The transfected UCP1-Flag protein co-localized with TOM20 indicating mitochondrial co-localization whereas the transfected STX4-Myc was distinct from TOM20 and appeared primarily plasma membrane localized (Fig. 8f). However, co-transfection of UCP1-Flag with STX4-Myc resulted in a significant redistribution of STX4-Myc that now co-localized with TOM20 and with UCP1-Flag. Quantification of these data using Pearson’s coefficient is shown in Fig. 8g. Further, we observed a reduction in STX4 and UCP1 protein under thermoneutral conditions (Supplementary Fig. 7g–j) to demonstrate the role of STX4 in stabilizing the UCP1 under physiological conditions. Together these data indicate that STX4 interacts with UCP1 protein and is necessary to maintain UCP1 protein stability.
Discussion
It is well established that humans are born with classical brown adipose tissue localized to the interscapular and perirenal regions49 with the interscapular depot regressing in the first and second decade of life17,20 and the perirenal depot slowly transforming into a white adipose tissue depot50. Since thermogenic adipose tissue increases insulin sensitivity and energy expenditure to suppress the development of diabetes and obesity, there are currently numerous efforts to find therapeutic approaches to induce the formation of beige adipose tissue51–53. However, an alternative approach would be to prevent the regression of brown adipocytes that are present at birth. Although mice do not fully regress their brown adipose tissue, during the aging process classical brown adipocyte numbers decline with decreased thermogenic capacity23. Thus, understanding the post-developmental changes of thermogenic brown adipose tissue may have important therapeutic implications for the improvement of metabolic health and to improve energy balance.
In the case of white adipose tissue, numerous studies have clearly documented that these depots undergo hypertrophy and adipocyte cell death during diet-indued obesity54–57. Although studies have suggested that this results from apoptotic, necrotic, or autophagic induced cell death54–57, based upon extensive morphological criteria, pyroptotic death was the primary cause in hypertrophic white adipocytes58,59 suggesting that this may be a generalized adipocyte response to excessive lipid accumulation60. This is consistent with a recent study showing that genetic (ChREBP deficiency) and pharmacological inhibition of lipogenesis under thermoneutrality preserves mitochondria mass and thermogenic capacity of BAT61.
Our data clearly demonstrate that during the aging process, pyroptosis activation is a key driver of brown adipocyte cell death and a decline in thermogenic activity of the remaining brown adipose tissue depots. Recent studies have shown that rabbit stromal vascular cells expressing high levels of follistatin (FSTL) serve as brown adipocyte progenitors and loss of FSTL expression in mice results in decreased iBAT mass due to a suppression of progenitor cell differentiation62. In contrast, our snRNAseq data from iBAT of aging mice did not indicate any significant loss of brown adipocyte progenitor cells but instead the appearance of an Ucp1-low adipocyte population concomitant with a reduction in the Ucp1-high adipocyte cells in both aging and STX4KO mice. While both Ucp1-high and Ucp1-low cells in the KO mice show expression of pyroptotic genes, the levels of these genes are significantly higher in the Ucp1-low cells compared to the Ucp1-high cells. Additionally, trajectory inference analyses indicated that the Ucp1-low adipocytes were derived from the Ucp1-high adipocytes suggesting a de-differentiation process that subsequently undergoes a pyroptotic cell death program. Future work will require direct evidence such as lineage tracing to verify this finding. Although this can account for the decline in BAT mass and the reduction in UCP1 protein could account for the defect in uncoupled mitochondrial respiration, it cannot account for the defect in coupled respiration in aged mice.
In our analyses, we observed a concomitant decline in STX4 which has previously reported as a healthy longevity gene and that protects pancreatic beta cells and skeletal muscle from metabolic dysfunction26,27,47. We, therefore, generated both brown adipocyte-specific STX4 deficient mice, which mimic aging-induced reduction in brown adipose tissue mass and thermogenic dysfunction, whereas transgenic brown adipocyte STX4 overexpressing mice protects against the aging-induced decline. Moreover, pharmacological inhibition of the pyroptosis effector proteins Caspase1/11 protects against both aging and STX4 deficiency of thermogenic dysfunction in vivo and specific knockdown of Caspase1 and 11 but not Caspase 3 protected against cell death in cultured brown adipocytes.
In any case, these findings beg the question of how does STX4 regulates both brown adipocyte thermogenic function and pyroptotic cell death. Our data strongly support the hypothesis depicted in Fig. 8h in which STX4 plays two important roles. One is its classical role in the trafficking and fusion of glucose transporter to the plasma membrane63,64. As such, we observed both a decrease in glucose uptake and glycolysis. To further demonstrate that the defect in glycolysis was due to impaired glucose uptake, we used pyruvate to bypass glucose uptake. As shown, pyruvate-stimulated ECAR was unaffected in the Ucp1-STX4KO brown adipocytes. However, the partial inhibition of adipocyte glucose uptake by itself is not sufficient to cause cell death65, likely due to compensation by mitochondria energy production. However, we also observed a parallel inhibition of oxygen utilization indicating mitochondrial electron chain dysfunction consistent with the observed decrease in electron chain protein complexes.
How is it then that STX4 disrupts the mitochondrial respiratory chain? Our finding revealed that in brown adipocytes STX4 is physically associated with UCP1 and stabilizes it as STX4 deficiency results in an accelerated degradation rate of the UCP1 protein. Consequently, in STX4-deficient brown adipocytes, UCP1 protein levels dropped significantly and became nearly undetectable before significant death was observed. Moreover, STX4 protein levels decreased in brown adipose tissue of UCP1KO mice. We have also found that the Ucp1-STX4TG mice displayed elevated UCP1 protein levels under thermoneutrality and with aging. Together, these data clearly demonstrated a co-dependence of both UCP1 and STX4 protein levels on each other.
Recently, it was demonstrated that UCP1 deficiency not only impairs electron chain uncoupling of the proton gradient, but it also induces a defect in coupled electron transport as well as a reduction in mitochondria size with reduced cristate density48. The mitochondria morphologic phenotype with reduced electron chain respiration observed in the UCP1KO mice is similar to that of the STX4KO mice. These data are consistent with mitochondrial function being co-dependent upon the interaction between STX4 and UCP1 and deficiency in one also results in the deficiency of the other and thereby results in the disruption of mitochondrial respiration. Thus, the loss of STX4 protein either by aging or by genetic manipulation prevents the association of STX4 that is necessary for the stabilization of both the respiratory chain subunits as well as UCP1 itself. We therefore hypothesize that the activation of pyroptosis results from the combined defects in glycolysis and mitochondria respiration leading to reduced ATP levels, which, in turn, activate pyroptosis and ultimately contribute to brown adipose tissue involution.
Determination of the mechanisms by which UCP1 stabilizes the mitochondrial electron transport chain and the role of STX4 protein trafficking to the inner mitochondrial membrane are important mechanistic issues to understand the complex process responsible for brown adipose tissue involution. Moreover, further analyses of brown adipocyte cell autonomous pyroptosis as the basis for aging-induced decline in brown adipose tissue mass and thermogenic function will provide therapeutic potential for preventing the decline of energy expenditure and insulin sensitivity during the aging process.
Methods
Mice
The mice used in this study were group-housed either at 24 °C or 29 °C with a relative humidity of 30–70%, on a 12 h light/12 h dark cycle, with ad libitum access to food and water. Euthanasia was performed via carbon dioxide inhalation to ensure an overdose, with all other animal care procedures following the guidelines of the Institutional Animal Care and Use Committee at Albert Einstein College of Medicine. All mice were maintained on a C57BL/6 J background. The C57BL/6 J mice used in this study were obtained from the Jackson Laboratory (000664, JAX). The STX4fl/fl mice were generously provided by Dr. Adachi Roberto, while the Ucp1-Cre mice were obtained from the Jackson Laboratory (024670, JAX). The Ucp1-creERT2 mice were gifted by Dr. Christian Wolfrum.
Rosa26-Stx4a KI mice
To insert a cassette consisting of Ad-SA (a splicing acceptor)-loxp-tPA (triple polyA signal)-loxp-mouse Stx4a CDS-PolyA signal in sequence, we used the CRISPR/HDR strategy to target intron 1 of the Rosa26 locus. Microinjections to obtain zygotes and live mouse pups were performed by Albert Einstein Gene Modification Facility and Transgenic Mouse Facility.
Stx4fl/fl cell line
Stromal vascular cells were isolated from 1 week or younger embryonic STX4fl/fl mice and cultured in DMEM medium supplemented with 15% FBS. The cells were then immortalized with SV40 lentivirus and transfected with tamoxifen-inducible Cre retrovirus. Single clones were selected and assessed for their ability to differentiate. Only clones with good differentiation were retained for further experiments. To induce Cre recombinase-mediated recombination, 1 µM of 4-hydroxytamoxifen (4-OHT) was added to the differentiated cells for two days, followed by a change of fresh medium with 1 µM of 4-OHT for another two days.
Lentiviral transduction
MISSION lentiviral shRNA particles (106 VP/mL) for Caspase1 (TRCN0000012267), Caspase3 (TRCN0000012254), Caspase11(TRCN0000012269) and NM (nonmammalian, SHC202V) control were obtained from Millipore–Sigma. STX4fl/fl cell lines were then selected with G418 (250 μg/ml) after lentivirus infection (MOI = 1) and then subjected to standard adipocyte differentiation.
Acute cold exposure
To induce acute cold exposure, mice housed at ambient temperature (25 °C) or thermoneutrality (29 °C) were transferred to 4 °C or 0 °C for 1 h, without access to food or water. Body temperatures were monitored every 10 min using TH-8 Thermometer (Physitemp Instruments, Clifton, NJ) as per the manufacturer’s instructions.
Insulin tolerance tests
To conduct insulin tolerance test, fasted mice (from 9:00 am to 2:00 pm) were intraperitoneally injected with 1.5 or 2 mU insulin per kg of lean mass. Blood glucose levels were measured at 0, 15, 30, 60, and 120 min using a glucose meter (Infinity, US Diagnostics).
Brown adipocyte differentiation
Precursor cell line or stromal vascular cells from brown adipose tissue were cultured in DMEM/F12 medium supplemented with 15% fetal bovine serum and 0.2% primocin until confluency. The cells were then differentiated using the MesenCultTM Adipogenic Differentiation Kit (STEMCELL Technology) with some modifications. Confluent precursor cells were differentiated in MesenCult™ Basal Medium supplemented with 1/10 of the 10X Supplement, 1/100 of the 100X Glutamax, and 1 μM of Rosiglitazone for 4 days, after which fresh differentiation medium was added every 4 days. For subsequent experiments, the differentiated cells were transferred to DMEM (5 mM glucose) medium containing 10% FBS, 1 nM T3, 20 nM insulin, 1 μM Rosiglitazone, and 0.2% primocin one day before performing the Seahorse experiment.
Mitochondria isolation
Mitochondria isolation was performed using a Mitochondria Isolation Kit from Miltenyi Biotec with some modifications. To start, 107 adipocyte cells (10 cm dish) or 100 mg brown adipose tissue were washed twice with PBS, and then 1 ml of lysis buffer containing protease/phosphatase inhibitors was added. The cells were homogenized with a Dounce homogenizer for 40 strokes, and the homogenate was centrifuged at 700 g for 5 min to remove top lipids and cell debris pellets. The instructions from the kit were then followed, passing the sample through a column, and collecting the mitochondria fraction binding to beads and the flow-through. To obtain the non-mitochondrial pellet and cytosol fraction, the flow-through was centrifuged at 14,000 g for 15 min. The supernatant contains the cytosolic fraction, and the pellet contains mostly the non-mitochondrial membrane fraction.
Mitochondria functional assays
The oxygen consumption rates (OCRs) and extracellular acidification rate (ECAR) were determined using the XF24 Extracellular Flux Analyzer (Seahorse Bioscience, MA, USA) following the manufacturer’s protocols. The differentiated adipocytes were washed three times with seahorse medium supplemented with 5 mM glucose, 2 mM glutamine and 1 mM sodium pyruvate, then transferred to a temperature-controlled (37 °C) Seahorse analyzer and allowed to equilibrate for 20 min. Basal and after port injection measurements were looped 3 times. Each loop comprises a 3 min mix, 2 min wait and 3 min measure. Compounds were added by automatic pneumatic injection followed by a single assay cycle after each. The concentrations of drugs used were oligomycin (5 μM), FCCP (1 μM), rotenone (1 μM), and glucose (10 mM).
Glucose uptake
Differentiated adipocytes were subjected to a 6-hour fast in serum-free DMEM medium containing 5 mM glucose, 2mM L-glutamine, 10 mM HEPES, 0.5% BSA, 2.4 nM insulin, and 0.2% Primocin. Following the fast, the cells were treated for 40 min in serum-free, glucose-free, and insulin-free medium. For insulin-treated samples, 1 μM insulin was added for 20 min, while 1 μM isoproterenol was added for 20 min for isoproterenol-treated samples. Subsequently, all three groups were treated with 1 mM 2-deoxy-D-glucose (2-DG) for 20 min. Then glucose uptake was determined using the Glucose Uptake Assay Kit (ab136955), and the final data was normalized to 2-DG uptake per µg protein per minute.
RNA extraction, qPCR analysis and bulk RNA sequencing
Total mRNA was extracted by homogenizing brown adipose tissues in TRIzol, treating with chloroform, and precipitating in 70% ethanol. cDNA was made using SuperScript IV VILO Master Mix and qPCR was performed utilizing QuantStudioTM 6 Flex Real-Time PCR System (ThermoFisher Scientific), using primers supplied by the same company. After RNA extraction from BAT of 2-month-old WT and Ucp1-STX4KO male mice, with four biological replicates each, 2 µg of total RNA was used as input for polyA(+)-RNA enriched and strand-specific library preparation, which was performed by Novogene. Sequencing was carried out on an Illumina NovaSeq 6000 machine. The reads were mapped to the mm10 reference genome using STAR software. Differential expression analysis was performed using R package DESeq2, and Gene Ontology and KEGG pathways were analyzed using R package clusterProfiler.
Protein extraction and immunoblot
Tissues were homogenized in RIPA buffer with protease and phosphatase inhibitor cocktail. Proteins were separated using SDS-PAGE and transferred to PVDF membrane (Millipore) by iBlot 2 Western Blot Transfer System. Quantification of immunoblots was performed using ImageJ (NIH). Following antibodies were used: Vinculin (Abcam,#ab18508), Caspase1 (AdipGen Life Sciences, #AG-20B-0042); Caspase1(ThermoFisher, #PA5-38100; AdipGen Life Sciences, #AG-20b-0044); Caspase3 (Cell Signaling Technology, #9661); Caspase11 (Abcam, #ab180673); Syntaxin 4 (Synaptic Systems, #110042); Tubulin (Cell Signaling Technology, #2144); Hmgb1 (Abcam, #ab67281); UCP1 (Abcam, #ab10983); Nlrp1b (Novus Biologicals, #NBP1-54899); Cleaved Nlrp1b (AdipGen Life Sciences, #AG-20B-0084); PGAM1 (Cell Signaling Technology, # 12098); HSP70 (Abcam, #abab181606); AIM2 (Abcam, #ab93015); NLRP3 (AdipGen Life Sciences, #AG-20B-0006); GAPDH (Abcam, #ab8245); GM130 (Cell Signaling Technology, #12480); Caveolin (Cell Signaling Technology, # 3238); Myc (Cell Signaling Technology, # 2278); Flag (Sigma, #F1804); SNAP23 (Abcam, #ab3340); ATP5A (Abcam, #ab151229); TOM70 (Cell Signaling Technology, #65619); COXIV (Cell Signaling Technology, #4844); TOM20 (Cell Signaling Technology, #42406); OXPHOS (Abcam, #ab110413); Perilipin 1 (Cell Signaling Technology, #3470), F4/80 (Cell Signaling Technology, #70076).
ADP/ATP ratio
Twelve days old of differentiated adipocyte cells were grown in white wall transparent 96-well plates and the ADP/ATP were tested by following the instruction of the ADP/ATP Ratio assay kit (Sigma).
Stable isotope labeling by amino acids in cell culture (SILAC)
Eight days differentiated adipocyte cells were grown in DMEM medium for SILAC (# 88364, ThermoFisher scientific) supplemented with 10% dialyzed FBS (# 26400044) and amino acid with isotope-labeled 13C615N2-L-Lysine.2HCL (# 88209) / 13C615N4-L-arginine.HCL (# 89990) for 48 h, then washed three times with PBS then cultured with regular DMEM medium supplemented with 10% FBS. The fold change of the log2 ratio between UCP1 protein labeled with heavy-amino acids and UCP1 protein labeled with light-amino acids was determined at day 12 in comparison to day 11.
Widely targeted small metabolites
Twelve days differentiated adipocyte cells grown in 60 mm dish were rinsed with 0.5 ml of ice-cold ammonium acetate solution twice then added 0.6 ml ice-cold methanol. Adipocytes were then scraped and centrifuged, and the supernatant was collected and dried using a speedvac and stored at −80 °C until further use. The samples were analyzed on an ABsciex 6500+ coupled with a Waters UPLC. Small metabolites separation was performed on the Ace PFP column and iHILIC-p column (HILICON, 160–152-0520). A pooled quality control (QC) sample was added to the sample list for the small metabolites. The QCs samples were injected six times for coefficient of variation (CV) calculation for data quality control. Metabolites with CVs lower than 30% were used for the quantification. The data was analyzed with MetaboAnalyst 5.0 web server and accepted metabolites were entered manually using HMDB number.
Single-nuclei RNA-sequencing (snRNA-seq)
In preparation for snRNA-seq, harvested mouse interscapular brown adipose tissues from 4 male mice were minced in nuclear preparation buffer (10 mM HEPES, 1.5 mM MgCl2, 10 mM KCl, 250 mM Sucrose, 0.1% NP-40, 0.6 U/μl Rnase inhibitor), then homogenized with 5 strokes in a Dounce homogenizer, this step was optimized to specifically enrich for brown adipocyte nuclei. The homogenate was passed through a 100 μM filter and centrifuged at 750 x g for 5 min. The pellet was resuspended in 2% BSA/PBS, filtered again and sorted using a MoFloXDP Cell Sorter using the gating strategy previously described29. After sorting nuclei were concentrated and loaded on a Chromium Controller (10x Genomics, Pleasanton, CA). Nuclei lysis, RNA extraction, and cDNA synthesis were performed using the Single Cell 3’ v3.1 Dual Index Gene Expression Reagent kit (10x Genomics) following the manufacturer’s instructions. The quality and size of the cDNA library were determined by TapeStation. Sequencing of the library was performed using Illumina NovaSeq at 20,000 read pairs per cell.
Bioinformatics (single-nuclei RNA sequencing)
FASTQ files were aligned against the mouse mm10 reference and converted to gene expression on the basis of Unique Molecular Identifier (UMI) using Cell Ranger Software (version 6.1.2) with “--force-cells 10000”. Obtained single-cell data were normalized with sctransform, integrated for batch effect correction, and mapped to two-dimensional uniform manifold approximation and projection (UMAP) space using Seurat (version 4.1.0). Cellular populations were delineated by FindClusters function in Seurat with “resolution = 0.3”. To remove multiples and low-quality droplets, barcodes that did not have a number of detected UMIs between 200 and 2000 and a number of detected genes between 100 and 3,000 were filtered out. Violin plots were generated using Loupe Browser (version 6.4.1).
Immunochemistry and H&E staining of adipose tissue
Perilipin staining was performed as previously described in ref. 55. Briefly, adipose tissue was fixed for 24–36 h at room temperature in zinc-formalin fixative and embedded in paraffin. Paraffin-embedded adipose tissue was sectioned, deparaffinized, and heated in antigen unmasking solution for antigen retrieval, and then cooled, washed, and blocked with 10% goat serum in Tris-buffered saline with Tween (10 mM Tris-HCl, pH 7.5, 150 mM NaCl, 0.05% Tween-20). The sections were incubated overnight with perilipin 1 (3470, Cell Signaling Technology) or UCP1 (ab10983, Abcam) primary antibodies followed by fluorescence-conjugated secondary antibodies. The sections were counterstained in ProLong Gold Antifade Reagent (Invitrogen, ThermoFisher Scientific) with DAPI and visualized by confocal fluorescence microscopy. Zinc-fixed, paraffin-embedded fragments of adipose tissues were sectioned (5 μm-thick) and subjected to standard H&E staining at the Albert Einstein College of Medicine Histology Core Facility or stained with cleaved Caspase1 (pa5-38099, Invitrogen) or F4/80 (70076, Cell Signaling Technology) followed by SPlink HRP detection kit with DAB chromogen (D03-18, OriGene).
Cell death determination
Plasma membrane permeability was determined by incubating adipocytes with 250 ng/ml PI and 5 μg/ml Hoechst 33342 for 10 min and then analyzing them under a microscope. Lysed (dead) cells, which released lactate dehydrogenase (LDH) were analyzed by CytoTox 96 Non-Radioactive Cytotoxic assay (Promega). Before analysis, adipocyte cells were cultured with DMEM medium without phenol red, supplemented with 5% FBS for 6 h, then 50 μl medium for assay by following the instruction from the kit. Dead cells were excluded by HMGB1 staining, thus d16 adipocytes were stained with Hmgb1 antibody and counterstained with DAPI.
IL-18 ELISA
Ten- or sixteen-days old adipocyte cells were cultured with DMEM medium without phenol red, supplemented with 10% FBS for overnight, then 50 μl medium for IL-18 ELISA by following the instruction from the kit (Mouse IL-18 ELISA Kit). For plasma IL-18 ELISA, we used 50 µl plasma from each mouse.
Plasma IL-1β ELISA
50 µl plasma from WT and TG mice were collected and subjected for IL-1β ELISA by following the instruction from the kit (Mouse IL-1βeta/il-1f2 Quantikine ELISA Kit).
Caspase1 activity
Differentiated adipocyte cells were grown in white wall transparent 96-well plates and Caspase1 activity was tested by following the instruction of the Caspase-Glo® 1 Inflammasome Assay (Promega).
Transmission Electron Microscopy (TEM)
BAT from 3-month-old WT and Ucp1-STX4KO mice was subjected to TEM as previously described. Briefly, the tissue was fixed in 2.5% glutaraldehyde in 100 mM sodium cacodylate, pH 7.4, and postfixed in 1% osmium tetroxide in sodium cacodylate followed by 1% uranyl acetate. After ethanol dehydration and embedment in LX112 resin (LADD Research Industries), ultrathin sections were stained with uranyl acetate followed by lead citrate. Sections were examined on JEOL 1400Plus Transmission Electron Microscope in backscatter mode using an accelerating voltage of 120 kV. The number of mitochondria and the density of cristae was counted manually.
Quantification and statistical analyses
Prism (8.1) GraphPad Software was used for data processing, analyses, and graph productions in the experiments. To analyze the differences of body temperature at different time points among two to four groups of the mice, the tabs of Grouped Analyses/two-tailed Student’ t test/ANOVA (or mixed model)/multiple comparisons were selected. The subtab ‘Compare each cell mean with the other cell mean in that row’ was chosen to show the ‘Sidak’s multiple comparison test,’ which summarized the statistical test results. The number of independent experimental replications and the average with standard deviation are provided in the figure legends. Unpaired two-tailed p-value t-tests were used for the statistical tests between the two groups. The statistical analyses were made at significance levels as follows: ns, not statistically significant; *p < 0.05; **p < 0.01; ***p < 0.001, and ****p < 0.0001.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Supplementary information
Acknowledgements
We are grateful to Dr. Adachi Roberto for providing Stx4fl/fl mice, Christian Wolfrum for UCP1-CreERT2 strain. We thank Dr. Victor Shuster for his helpful discussion. We thank Einstein Gene Modification Facility and Transgenic Mouse Facility for generating Rosa26-Stx4a KI mice, Genomics Facility for assistance in single nuclei library generation, Flow Cytometry Core for single nuclei and single cells sorting, Analytical Imaging Facility for all image analysis, Histology Core for H&E staining, and the Isotope & Metabolomics Core for metabolites and Seahorse analyses. This work was supported in part by National Institutes of Health grants DK128839, DK020541, DK110426, DK026687, AFAR 22059 and 21139, CA013330 from Albert Einstein college of medicine.
Author contributions
X.Y. generated experimental data, assisted in the data analyses and figures preparation. G.B. generated experimental data and assisted in the data analyses. T.P.W. performed experiments and contributed to project development. S.K. performed experiments and contributed to discussion. Z.S. developed the inducible Stx4 knockdown brown adipocyte precursor cell line. L. L. performed all the bioinformatics analysis. M.Z. provided UCP1KO mice for the study. A. X. performed experiments for single cell RNA sequencing. H.W. conducted the Western Blot experiments, F. C. performed animal husbandry and mouse genotyping. S.S. did the mass spectrometry data. F.Y. provided advice and discussion of results. K.S. supervised the snRNA-seq experiment and bioinformatics, prepared figures, and edited the manuscript. J.E.P. supervised the project and edited the manuscript. D.F. conceived the ideas, performed experiments, supervised the project, and drafted the manuscript. All authors have commented on the manuscript.
Peer review
Peer review information
: Nature Communications thanks Farnaz Shamsi, Jingbo Pi and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.
Data availability
The data supporting the findings of this study are all available in the manuscript and its Supplementary information. The snRNA sequencing data for Fig. 1 and bulk RNA sequencing data for Fig. 3 and Supplementary Fig. 3 are available at GSE248816; The snRNA sequencing data for Supplementary Fig. 4 are available at GSE229999.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
The online version contains Supplementary material available at 10.1038/s41467-024-46944-y.
References
- 1.Cannon B, Nedergaard J. Brown adipose tissue: function and physiological significance. Physiol. Rev. 2004;84:277–359. doi: 10.1152/physrev.00015.2003. [DOI] [PubMed] [Google Scholar]
- 2.Kajimura S, Spiegelman BM, Seale P. Brown and Beige Fat: Physiological Roles beyond Heat Generation. Cell Metab. 2015;22:546–559. doi: 10.1016/j.cmet.2015.09.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Wu J, et al. Beige adipocytes are a distinct type of thermogenic fat cell in mouse and human. Cell. 2012;150:366–376. doi: 10.1016/j.cell.2012.05.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Giralt M, Villarroya F. White, brown, beige/brite: different adipose cells for different functions? Endocrinology. 2013;154:2992–3000. doi: 10.1210/en.2013-1403. [DOI] [PubMed] [Google Scholar]
- 5.Yu YH, Ginsberg HN. Adipocyte signaling and lipid homeostasis: sequelae of insulin-resistant adipose tissue. Circ. Res. 2005;96:1042–1052. doi: 10.1161/01.RES.0000165803.47776.38. [DOI] [PubMed] [Google Scholar]
- 6.Chait A, den Hartigh LJ. Adipose Tissue Distribution, Inflammation and Its Metabolic Consequences, Including Diabetes and Cardiovascular Disease. Front. Cardiovasc. Med. 2020;7:22. doi: 10.3389/fcvm.2020.00022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Cao H. Adipocytokines in obesity and metabolic disease. J. Endocrinol. 2014;220:T47–59,. doi: 10.1530/JOE-13-0339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Funcke JB, Scherer PE. Beyond adiponectin and leptin: adipose tissue-derived mediators of inter-organ communication. J. Lipid Res. 2019;60:1648–1684,. doi: 10.1194/jlr.R094060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kahn CR, Wang G, Lee KY. Altered adipose tissue and adipocyte function in the pathogenesis of metabolic syndrome. J. Clin. Invest. 2019;129:3990–4000. doi: 10.1172/JCI129187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ikeda K, Maretich P, Kajimura S. The Common and Distinct Features of Brown and Beige Adipocytes. Trends Endocrinol. Metab. 2018;29:191–200. doi: 10.1016/j.tem.2018.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Brownstein AJ, Veliova M, Acin-Perez R, Liesa M, Shirihai OS. ATP-consuming futile cycles as energy dissipating mechanisms to counteract obesity. Rev. Endocr. Metab. Disord. 2022;23:121–131. doi: 10.1007/s11154-021-09690-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Kazak L, et al. A creatine-driven substrate cycle enhances energy expenditure and thermogenesis in beige fat. Cell. 2015;163:643–655. doi: 10.1016/j.cell.2015.09.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Oeckl J, et al. Loss of UCP1 function augments recruitment of futile lipid cycling for thermogenesis in murine brown fat. Mol. Metab. 2022;61:101499. doi: 10.1016/j.molmet.2022.101499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bertholet AM, et al. Mitochondrial Patch Clamp of Beige Adipocytes Reveals UCP1-Positive and UCP1-Negative Cells Both Exhibiting Futile Creatine Cycling. Cell Metab. 2017;25:811–822 e814. doi: 10.1016/j.cmet.2017.03.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Jung SM, Sanchez-Gurmaches J, Guertin DA. Brown Adipose Tissue Development and Metabolism. Handb. Exp. Pharm. 2019;251:3–36. doi: 10.1007/164_2018_168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Lidell ME, et al. Evidence for two types of brown adipose tissue in humans. Nat. Med. 2013;19:631–634. doi: 10.1038/nm.3017. [DOI] [PubMed] [Google Scholar]
- 17.Heaton JM. The distribution of brown adipose tissue in the human. J. Anat. 1972;112:35–39. [PMC free article] [PubMed] [Google Scholar]
- 18.Nedergaard J, Bengtsson T, Cannon B. Unexpected evidence for active brown adipose tissue in adult humans. Am. J. Physiol. Endocrinol. Metab. 2007;293:E444–452,. doi: 10.1152/ajpendo.00691.2006. [DOI] [PubMed] [Google Scholar]
- 19.Cypess AM, et al. Identification and importance of brown adipose tissue in adult humans. N. Engl. J. Med. 2009;360:1509–1517. doi: 10.1056/NEJMoa0810780. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Sidossis L, Kajimura S. Brown and beige fat in humans: thermogenic adipocytes that control energy and glucose homeostasis. J. Clin. Invest. 2015;125:478–486. doi: 10.1172/JCI78362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Cannon B, de Jong JMA, Fischer AW, Nedergaard J, Petrovic N. Human brown adipose tissue: Classical brown rather than brite/beige? Exp. Physiol. 2020;105:1191–1200. doi: 10.1113/EP087875. [DOI] [PubMed] [Google Scholar]
- 22.Berry DC, et al. Cellular Aging Contributes to Failure of Cold-Induced Beige Adipocyte Formation in Old Mice and Humans. Cell Metab. 2017;25:166–181. doi: 10.1016/j.cmet.2016.10.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Darcy J, Tseng YH. ComBATing aging-does increased brown adipose tissue activity confer longevity? Geroscience. 2019;41:285–296. doi: 10.1007/s11357-019-00076-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Mancuso P, Bouchard B. The Impact of Aging on Adipose Function and Adipokine Synthesis. Front. Endocrinol. (Lausanne) 2019;10:137. doi: 10.3389/fendo.2019.00137. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.de Jong JMA, et al. Human brown adipose tissue is phenocopied by classical brown adipose tissue in physiologically humanized mice. Nat. Metab. 2019;1:830–843. doi: 10.1038/s42255-019-0101-4. [DOI] [PubMed] [Google Scholar]
- 26.Oh E, Miller RA, Thurmond DC. Syntaxin 4 Overexpression Ameliorates Effects of Aging and High-Fat Diet on Glucose Control and Extends Lifespan. Cell Metab. 2015;22:499–507. doi: 10.1016/j.cmet.2015.07.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Oh E, et al. Syntaxin 4 Expression in Pancreatic beta-Cells Promotes Islet Function and Protects Functional beta-Cell Mass. Diabetes. 2018;67:2626–2639. doi: 10.2337/db18-0259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Zoico E, et al. Brown and Beige Adipose Tissue and Aging. Front. Endocrinol. (Lausanne) 2019;10:368. doi: 10.3389/fendo.2019.00368. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Benitez, G. J. & Shinoda, K. Isolation of Adipose Tissue Nuclei for Single-Cell Genomic Applications. J. Vis. Exp. 10.3791/61230, 1–9 (2020). [DOI] [PMC free article] [PubMed]
- 30.Man SM, Karki R, Kanneganti TD. Molecular mechanisms and functions of pyroptosis, inflammatory caspases and inflammasomes in infectious diseases. Immunol. Rev. 2017;277:61–75. doi: 10.1111/imr.12534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Shi J, Gao W, Shao F. Pyroptosis: Gasdermin-Mediated Programmed Necrotic Cell Death. Trends Biochem Sci. 2017;42:245–254. doi: 10.1016/j.tibs.2016.10.004. [DOI] [PubMed] [Google Scholar]
- 32.Yu P, et al. Pyroptosis: mechanisms and diseases. Signal Transduct. Target Ther. 2021;6:128. doi: 10.1038/s41392-021-00507-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.La Manno G, et al. RNA velocity of single cells. Nature. 2018;560:494–498. doi: 10.1038/s41586-018-0414-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Bergen V, Lange M, Peidli S, Wolf FA, Theis FJ. Generalizing RNA velocity to transient cell states through dynamical modeling. Nat. Biotechnol. 2020;38:1408–1414. doi: 10.1038/s41587-020-0591-3. [DOI] [PubMed] [Google Scholar]
- 35.Yoneshiro T, et al. BCAA catabolism in brown fat controls energy homeostasis through SLC25A44. Nature. 2019;572:614–619. doi: 10.1038/s41586-019-1503-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Liao KC, Mogridge J. Activation of the Nlrp1b inflammasome by reduction of cytosolic ATP. Infect. Immun. 2013;81:570–579. doi: 10.1128/IAI.01003-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Harijith A, Ebenezer DL, Natarajan V. Reactive oxygen species at the crossroads of inflammasome and inflammation. Front Physiol. 2014;5:352. doi: 10.3389/fphys.2014.00352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Sanman LE, et al. Disruption of glycolytic flux is a signal for inflammasome signaling and pyroptotic cell death. Elife. 2016;5:e13663. doi: 10.7554/eLife.13663. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Zhou B, et al. Tom20 senses iron-activated ROS signaling to promote melanoma cell pyroptosis. Cell Res. 2018;28:1171–1185. doi: 10.1038/s41422-018-0090-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Wang Y, et al. Mitochondrial ROS promote macrophage pyroptosis by inducing GSDMD oxidation. J. Mol. Cell Biol. 2019;11:1069–1082. doi: 10.1093/jmcb/mjz020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Zheng, X. et al. Metabolic reprogramming during neuronal differentiation from aerobic glycolysis to neuronal oxidative phosphorylation. Elife5, 1–25 10.7554/eLife.13374 (2016). [DOI] [PMC free article] [PubMed]
- 42.Yang C, et al. Syntaxin 4 heterozygous knockout mice develop muscle insulin resistance. J. Clin. Invest. 2001;107:1311–1318. doi: 10.1172/JCI12274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Spurlin BA, Park SY, Nevins AK, Kim JK, Thurmond DC. Syntaxin 4 transgenic mice exhibit enhanced insulin-mediated glucose uptake in skeletal muscle. Diabetes. 2004;53:2223–2231. doi: 10.2337/diabetes.53.9.2223. [DOI] [PubMed] [Google Scholar]
- 44.Pessin JE, Thurmond DC, Elmendorf JS, Coker KJ, Okada S. Molecular basis of insulin-stimulated GLUT4 vesicle trafficking. Location! Location! Location! J. Biol. Chem. 1999;274:2593–2596. doi: 10.1074/jbc.274.5.2593. [DOI] [PubMed] [Google Scholar]
- 45.Minokoshi Y, Kahn CR, Kahn BB. Tissue-specific ablation of the GLUT4 glucose transporter or the insulin receptor challenges assumptions about insulin action and glucose homeostasis. J. Biol. Chem. 2003;278:33609–33612. doi: 10.1074/jbc.R300019200. [DOI] [PubMed] [Google Scholar]
- 46.Olsen JM, et al. Glucose uptake in brown fat cells is dependent on mTOR complex 2-promoted GLUT1 translocation. J. Cell Biol. 2014;207:365–374. doi: 10.1083/jcb.201403080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Merz KE, et al. Enrichment of the exocytosis protein STX4 in skeletal muscle remediates peripheral insulin resistance and alters mitochondrial dynamics via Drp1. Nat. Commun. 2022;13:424. doi: 10.1038/s41467-022-28061-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Kazak L, et al. UCP1 deficiency causes brown fat respiratory chain depletion and sensitizes mitochondria to calcium overload-induced dysfunction. Proc. Natl Acad. Sci. USA. 2017;114:7981–7986. doi: 10.1073/pnas.1705406114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Lidell ME. Brown Adipose Tissue in Human Infants. Handb. Exp. Pharm. 2019;251:107–123. doi: 10.1007/164_2018_118. [DOI] [PubMed] [Google Scholar]
- 50.Tanuma Y, Tamamoto M, Ito T, Yokochi C. The occurrence of brown adipose tissue in perirenal fat in Japanese. Arch. Histol. Jpn. 1975;38:43–70. doi: 10.1679/aohc1950.38.43. [DOI] [PubMed] [Google Scholar]
- 51.Wang H, Liu L, Lin JZ, Aprahamian TR, Farmer SR. Browning of White Adipose Tissue with Roscovitine Induces a Distinct Population of UCP1(+) Adipocytes. Cell Metab. 2016;24:835–847. doi: 10.1016/j.cmet.2016.10.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Finlin, B. S. et al. Human adipose beiging in response to cold and mirabegron. JCI Insight3, 1–15 10.1172/jci.insight.121510 (2018). [DOI] [PMC free article] [PubMed]
- 53.Solivan-Rivera, J. et al. A neurogenic signature involving monoamine Oxidase-A controls human thermogenic adipose tissue development. Elife11, 1–24 10.7554/eLife.78945 (2022). [DOI] [PMC free article] [PubMed]
- 54.Feng D, et al. High-fat diet-induced adipocyte cell death occurs through a cyclophilin D intrinsic signaling pathway independent of adipose tissue inflammation. Diabetes. 2011;60:2134–2143. doi: 10.2337/db10-1411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Choe SS, Huh JY, Hwang IJ, Kim JI, Kim JB. Adipose Tissue Remodeling: Its Role in Energy Metabolism and Metabolic Disorders. Front Endocrinol. (Lausanne) 2016;7:30. doi: 10.3389/fendo.2016.00030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Fuster JJ, Ouchi N, Gokce N, Walsh K. Obesity-Induced Changes in Adipose Tissue Microenvironment and Their Impact on Cardiovascular Disease. Circ. Res. 2016;118:1786–1807. doi: 10.1161/CIRCRESAHA.115.306885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Coats BR, et al. Metabolically Activated Adipose Tissue Macrophages Perform Detrimental and Beneficial Functions during Diet-Induced Obesity. Cell Rep. 2017;20:3149–3161. doi: 10.1016/j.celrep.2017.08.096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Giordano A, et al. Obese adipocytes show ultrastructural features of stressed cells and die of pyroptosis. J. Lipid Res. 2013;54:2423–2436. doi: 10.1194/jlr.M038638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Qian S, et al. BMPR2 promotes fatty acid oxidation and protects white adipocytes from cell death in mice. Commun. Biol. 2020;3:200. doi: 10.1038/s42003-020-0928-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Kotzbeck P, et al. Brown adipose tissue whitening leads to brown adipocyte death and adipose tissue inflammation. J. Lipid Res. 2018;59:784–794. doi: 10.1194/jlr.M079665. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Schlein C, et al. Endogenous Fatty Acid Synthesis Drives Brown Adipose Tissue Involution. Cell Rep. 2021;34:108624. doi: 10.1016/j.celrep.2020.108624. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Huang Z, et al. Brown adipose tissue involution associated with progressive restriction in progenitor competence. Cell Rep. 2022;39:110575. doi: 10.1016/j.celrep.2022.110575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Olson AL, Knight JB, Pessin JE. Syntaxin 4, VAMP2, and/or VAMP3/cellubrevin are functional target membrane and vesicle SNAP receptors for insulin-stimulated GLUT4 translocation in adipocytes. Mol. Cell Biol. 1997;17:2425–2435. doi: 10.1128/MCB.17.5.2425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Min J, et al. Synip: a novel insulin-regulated syntaxin 4-binding protein mediating GLUT4 translocation in adipocytes. Mol. Cell. 1999;3:751–760. doi: 10.1016/S1097-2765(01)80007-1. [DOI] [PubMed] [Google Scholar]
- 65.Abel ED, et al. Adipose-selective targeting of the GLUT4 gene impairs insulin action in muscle and liver. Nature. 2001;409:729–733. doi: 10.1038/35055575. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data supporting the findings of this study are all available in the manuscript and its Supplementary information. The snRNA sequencing data for Fig. 1 and bulk RNA sequencing data for Fig. 3 and Supplementary Fig. 3 are available at GSE248816; The snRNA sequencing data for Supplementary Fig. 4 are available at GSE229999.