Abstract
Autophagy is essential for cellular survival and energy homeostasis under nutrient deprivation. Despite the emerging importance of nuclear events in autophagy regulation, epigenetic control of autophagy gene transcription remains unclear. Here, we report fasting-induced Fibroblast Growth Factor-21 (FGF21) signaling activates hepatic autophagy and lipid degradation via Jumonji-D3 (JMJD3/KDM6B) histone demethylase. Upon FGF21 signaling, JMJD3 epigenetically upregulates global autophagy-network genes, including Tfeb, Atg7, Atgl, and Fgf21, through demethylation of histone H3K27-me3, resulting in autophagy-mediated lipid degradation. Mechanistically, phosphorylation of JMJD3 at Thr-1044 by FGF21 signal-activated PKA increases its nuclear localization and interaction with the nuclear receptor PPARα to transcriptionally activate autophagy. Administration of FGF21 in obese mice improves defective autophagy and hepatosteatosis in a JMJD3-dependent manner. Remarkably, in non-alcoholic fatty liver disease patients, hepatic expression of JMJD3, ATG7, LC3, and ULK1 is substantially decreased. These findings demonstrate that FGF21-JMJD3 signaling epigenetically links nutrient deprivation with hepatic autophagy and lipid degradation in mammals.
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Introduction
Lysosome-mediated autophagy is a highly conserved catabolic process that recycles cytoplasmic components, including damaged organelles and proteins, for cellular survival and maintenance of energy homeostasis under nutrient-deprived conditions1,2. Autophagy-mediated degradation of intracellular lipid stores, lipophagy, also plays a critical role in maintaining energy balance during nutrient deficiency by providing free fatty acids for mitochondrial fatty acid β-oxidation and ATP production3. Autophagy must be tightly regulated since defective autophagy has been implicated in many diseases, including cancer, neurodegenerative disease, and metabolic disorders like obesity, diabetes, and non-alcoholic fatty liver disease (NAFLD), while excessive autophagy is also harmful because it promotes cell death4,5,6.
It has long been accepted that autophagy is activated under extremely stressful conditions, but increasing evidence demonstrates that it is also regulated during feeding/fasting cycles under physiological conditions7,8,9,10. Nutrient-sensing factors, such as feeding-sensing FXR and SHP and fasting-sensing TFEB, CREB, and PPARα, dynamically decrease or increase, respectively, autophagic flux by modulating transcription of autophagic gene networks7,8,9,10. Despite the emerging importance of nuclear events in sustaining autophagy regulation, there have been only a few studies on epigenetic control in response to environmental cues. Histone acetyltransferase hMOF has a role in determining whether autophagy induction leads to cellular survival or death11, and the AMPK-SKP2-CARM1 signaling axis epigenetically activates transcription of autophagy-related genes after nutrient deprivation12. Further, histone demethylase LSD1, together with SHP, epigenetically inhibits hepatic autophagy-network genes in response to a late fed-state gut hormone, FGF1910. However, in vivo epigenetic regulators that convert fasting signal into induction of autophagy genes in animals are largely unknown.
Jumonji D3 (JMJD3/KDM6b) is a JmjC domain-containing histone lysine demethylase that, together with demethylases UTX and UTY, belongs to the KDM6 family and epigenetically activates genes by demethylating histone H3K27-me313. JMJD3 has known functions in development, differentiation, and immunity13, and in extending lifespan in response to mild mitochondrial stress14. Recently, JMJD3 was also shown to have a metabolic function in mediating hepatic fasting responses by acting as a gene-specific transcriptional partner of SIRT1, a key cellular energy sensor15. JMJD3 activates transcription of direct SIRT1 target genes that promote mitochondrial fatty acid β-oxidation, including Cpt1, Pgc-1α, and Fgf21, but not direct SIRT1 target gluconeogenic genes15. Although fasting-induced JMJD3 promotes fatty acid β-oxidation, a role for JMJD3 in promoting autophagy has not been shown.
In this study, we identify a function of JMJD3 in linking nutrient deprivation to histone modifications and transcriptional induction of hepatic autophagy in mice. Under nutrient deprivation, JMJD3 is activated by the fasting-induced hepatokine, Fibroblast Growth Factor-21 (FGF21), and epigenetically upregulates global autophagy-network genes. Mechanistically, FGF21-activated PKA mediates phosphorylation of JMJD3, which is important for its nuclear localization and interaction with PPARα to transcriptionally activate autophagy. We further show that FGF21-mediated autophagy induction and lowering lipids in obese mice are dependent on JMJD3 and that the hepatic FGF21-JMJD3-autophagy axis is likely dysregulated in NAFLD patients.
Results
JMJD3 epigenetically activates liver autophagy gene networks
To explore epigenetic regulation of hepatic autophagy, we first examined whether selected histone modifications were altered by fasting in mouse liver. Levels of histone H3K27-me3 were markedly decreased in fasted mice, and levels of JMJD3, which activates genes by demethylating H3K27-me313, were increased after fasting, whereas expression of UTX H3K27 demethylase and EZH2 H3K27 methyltransferase was unchanged (Supplementary Fig. 1). These results suggest that JMJD3 may epigenetically activate hepatic autophagy in response to nutrient deficiency.
To examine the role of JMJD3 in global regulation of hepatic genes, including autophagy genes, JMJD3 was downregulated specifically in the liver by infection of JMJD3-floxed mice with hepatocyte-targeting AAV-TBG-Cre15,16 (Fig. 1a), and effects of the downregulation on global gene expression and H3K27-me3 levels were examined by RNA-seq and ChIP-seq, respectively. Expression of 846 genes was decreased by downregulation of JMJD3 (Fig. 1b, Supplementary Fig. 2a), which include genes involved in autophagy, Ulk1, Atg3, Atg7, and Lc3; a transcriptional activator of autophagy, Tfeb7; a lipase important for lipophagy, Atgl17; and a fasting-induced hepatokine promoting lipid catabolism, Fgf2118,19, and H3K27-me3 levels detected by ChIP-seq at nearly all of these genes were increased (Fig. 1c, Supplementary Fig. 2c). Remarkably, gene ontology (GO) analysis of 564 potential JMJD3 target genes with both decreased expression and increased levels of H3K27-me3 after downregulation of JMJD3, revealed that autophagy and lysosomal function are potentially regulated by JMJD3 in fasted mice (Fig. 1d, Supplementary Fig. 2b–d). Analysis of mRNA and H3K27-me3 levels for selected autophagy genes validated these genomic results (Fig. 1e, f) and occupancy of JMJD3 at these genes in fasted mice was decreased as expected by liver-specific downregulation of JMJD3 (Fig. 1g). These global analyses reveal a potential role for JMJD3 in epigenetic induction of hepatic autophagy.
JMJD3 activates hepatic autophagy under nutrient deficiency
To examine whether induction of autophagy-network genes by JMJD3 actually leads to autophagy, we examined the effects of liver-specific downregulation or overexpression of JMJD3 on autophagic markers, the ratio of lipidated LC3-II to non-lipidated LC3-I, the levels of the autophagosome adapter p62, and lysosome-associated membrane protein (Lamp)1 and Lamp220. The ratio of hepatic LC3-II/I, the number of LC3 puncta, and Lamp1 and 2 levels were decreased, and p62 levels were increased by downregulation of JMJD3 in mice (Fig. 2a), indicative of decreased autophagy20. Conversely, adenoviral-mediated liver-specific expression of JMJD3 in mice resulted in the opposite effects (Fig. 2b). Similar effects of overexpression or downregulation of JMJD3 on the number of GFP-LC3 puncta were observed in Hepa1c1c7 cells (Fig. 2c).
Downregulation of JMJD3 also decreased the LC3-II/I ratio and decreased the mRNA levels of genes involved in autophagy and lysosomal functions in primary mouse hepatocytes (PMH) (Supplementary Fig. 3a, b). Furthermore, while treatment with a lysosomal inhibitor, bafilomycin-A1, increased autophagy detected by increased LC3 puncta or ratios of LC3-II to LC3-I, overexpression of JMJD3 further increased autophagy while downregulation decreased it (Supplementary Fig. 3c–e). Similarly, treatment with an mTOR inhibitor increased the LC3-II/I ratio, and downregulation of JMJD3 decreased autophagy without reversing the phosphorylation of the mTOR target, pS6 (Supplementary Fig. 3f). These results suggest that JMJD3 activates autophagy independent of either lysosomal or mTOR action. Overall, these results, together with global studies (Fig. 1), demonstrate that JMJD3 transcriptionally activates hepatic autophagy under nutrient deprivation.
JMJD3 promotes autophagy-mediated degradation of lipids
As key genes important for lipophagy, including Atgl, Tfeb, Pgc-1α, and Fgf217,17,21, are direct targets of JMJD3 (Fig. 1, Supplementary Fig. 2), and JMJD3 promotes fatty acid β-oxidation15, we further examined whether JMJD3 activates hepatic lipophagy.
Overexpression of JMJD3 in Hepa1c1c7 cells increased the number of GFP-LC3 puncta that co-localized with BODIPY-stained lipids and the opposite effects were observed after downregulation of JMJD3 (Fig. 2d). Furthermore, in electron microscopy studies, autophagic vesicles within lipid droplets were observed in mouse liver after adenoviral-mediated expression of JMJD3 (Supplementary Fig. 4a). Exogenous expression of JMJD3 in livers of mice fed a normal chow diet (ND) increased the LC3-II/I ratio (Fig. 2e), decreased hepatic lipid (Fig. 2f, Supplementary Fig. 4b) and triglyceride (TG) levels, and increased serum ketone body levels (Fig. 2g). In mice fed a high-fat diet (HFD), expression of JMJD3 resulted in increased autophagy and decreased hepatic TG levels, but these JMJD3-mediated effects were blunted in autophagy-defective Atg7-downregulated mice (Fig. 2e–g). These results suggest that JMJD3 promotes lipophagy, which contributes to decreased liver TG levels and that autophagy is important for the JMJD3-mediated lipid-lowering effects.
Fasting-induced autophagy is blunted in FGF21-LKO mice
Fasting increased JMJD3 occupancy and decreased histone H3K27-me3 levels at selected genes promoting lipophagy, including Tfeb, Ulk1, Atgl, and Fgf21, in mice (Supplementary Fig. 5). As the fasting-induced FGF21 promotes lipid catabolism18,19 and lysosomal function21, we examined whether FGF21 has a role in JMJD3-induced autophagy using liver-specific FGF21-knockout (FGF21-LKO) mice22.
The increased ratio of LC3-II/I, decreased p62 levels, and increased LC3 puncta (Fig. 3a,b), and induction of Tfeb, Pgc-1α, Ulk1, Atg7, Atgl, and JMJD3 (Fig. 3c) observed after fasting of control mice were attenuated in FGF21-LKO mice. These results suggest that physiological levels of endogenous FGF21 induced by fasting promote hepatic autophagy in an autocrine-manner. Consistent with these results, treatment with FGF21 increased JMJD3 occupancy and demethylation of H3K27-me3 at numerous autophagy genes, and increased expression of these genes (Fig. 3e, f).
In hepatocytes, the increased levels of LC3, Lamp1/2, and JMJD3 expression in nutrient-deprived medium were attenuated by downregulation of FGF21 (Fig. 3g). Moreover, expression of JMJD3 increased the LC3-II/I ratio but this JMJD3-mediated effect was also blunted by FGF21 downregulation (Fig. 3h). These findings reveal a critical role for hepatic FGF21 in hepatic autophagy induced either by nutrient deprivation or overexpression of JMJD3.
JMJD3 has a critical role in FGF21-induced hepatic autophagy
As JMJD3 epigenetically induces hepatic expression of Fgf21 in response to fasting15, we further examined whether JMJD3 is also important for FGF21-induced hepatic autophagy. FGF21 treatment in mice increased the LC3II/I ratio and Lamp1/2 levels (Fig. 4a), LC3 puncta (Fig. 4b), and expression of Tfeb, Ulk1, and Atg7 (Fig. 4c), but these FGF21-mediated effects on autophagy were markedly blunted by downregulation of hepatic JMJD3. Consistent with these findings in mice, in primary mouse hepatocytes (PMH), FGF21 treatment increased p-ERK levels and the LC-II/I ratio and decreased p62 levels (Supplementary Fig. 6a). Furthermore, treatment with FGF21, but not rapamycin, increased expression of JMJD3 (Supplementary Fig. 6b). These results indicate that JMJD3 is important for hepatic autophagy induced by FGF21. As JMJD3 induces FGF21 expression and FGF21 signaling activates JMJD3, which is required for FGF21 induction of autophagy, these findings reveal an intriguing feedforward loop between FGF21 and JMJD3 to activate hepatic lipophagy upon nutrient deprivation.
FGF21 can directly act on hepatocytes and induce lipophagy
FGF21 lowers TG levels in liver, but it remains controversial whether the liver is a direct target organ for the FGF21 action or indirectly targeted through the CNS18,19,23,24. We, thus, examined whether FGF21-mediated autophagy observed in mice can also occur in isolated hepatocytes. FGF21 treatment increased autophagy and decreased cellular TG levels in PMH (Fig. 4d, e), and increased autophagy gene expression (Supplementary Fig. 6c). Each of these FGF21-mediated effects was blunted by downregulation of JMJD3. Furthermore, FGF21 treatment increased co-localization of LC3 puncta and lipids in Hepa1c1c7 cells, but these effects were blunted by JMJD3 downregulation (Fig. 4f). These results suggest that FGF21 can directly act on hepatocytes and induce lipophagy, which is associated with decreased TG levels.
PPARα is a key component of the FGF21-JMJD3-autophagy axis
We next examined the mechanism by which JMJD3 transmits the FGF21 signal to epigenetically activate autophagy genes. We first identified transcriptional factors that might recruit JMJD3 to autophagy genes by examining candidate factors that are known to promote autophagy, PPARα7,9, CREB8, and FOXO112. The increase in the LC3-II/I ratio induced by JMJD3 expression was largely blocked by downregulation of PPARα, while a substantial increase was still observed after downregulation of CREB or FOXO1 (Supplementary Fig. 7a). Comparative analyses of our RNA-seq data (Fig. 1b, Supplementary Fig. 2a) with published PPARα microarray25 or ChIP-seq9 data revealed that ~70% of hepatic genes downregulated in JMJD3-depleted mice had binding peaks for PPARα (Fig. 5a) and ~70% of the hepatic genes downregulated in PPARα-KO mice also had increased levels of histone H3K27-me3 (Supplementary Fig. 7b). These genes, potentially regulated by both PPARα and JMJD3, were involved in autophagy, lysosome, and lipid catabolism based on GO analysis (Fig. 5a).
To determine the importance of PPARα in the FGF21-JMJD3-autophagy axis, we utilized PPARα-KO mice. Fasting increased LC3-II/I ratios and autophagy gene expression in control mice, but these effects were blunted in PPARα-KO mice (Fig. 5b). Conversely, activation of PPARα by treatment with an agonist, WY14643, increased LC3-II/I ratios and expression of autophagy genes in a JMJD3-dependent manner in PMH (Fig. 5c) and increased the interaction of JMJD3 with PPARα (Supplementary Fig. 7c). The effects of FGF21 treatment (Fig. 5d) or JMJD3 expression (Fig. 5e, Supplementary Fig. 7d) on autophagy were also blunted in PPARα-KO mice. Further, FGF21 treatment increased co-occupancy of JMJD3 and PPARα at Tfeb, Atg7, and Atgl genes (Fig. 5f). Consistent with these results, the interaction of JMJD3 with PPARα was increased after treatment with FGF21, but not with rapamycin (Supplementary Fig. 7e, f). In reporter assays, expression of JMJD3 enhanced PPARα-mediated transactivation of Tfeb-luc and Atg7-luc (Fig. 5g). Collectively, these findings demonstrate that PPARα is a key component of the induction of autophagy network genes mediated by the fasting-triggered FGF21-JMJD3 axis.
JMJD3 phosphorylation at T1044 is critical for its function
We further investigated the mechanism by which FGF21 signaling activates JMJD3. In mass spectrometry analysis, Thr-1044 was the only phosphorylation site detected in JMJD3 from FGF21-treated hepatocytes (Fig. 6a, Supplementary Fig. 8a). Indeed, p-Thr JMJD3 levels for WT-JMJD3, but not T1044A-JMJD3, were increased by FGF21 treatment in PMH (Fig. 6b, Supplementary Fig. 8b). These results indicate that JMJD3 is phosphorylated at Thr-1044 in response to FGF21.
We next examined the role of the FGF21 signal-induced JMJD3 phosphorylation in induction of autophagy genes. JMJD3 was detected in the cytoplasmic and mitochondrial fractions and FGF21 treatment increased nuclear localization of JMJD3 in PMH (Supplementary Fig. 8c, d) and also in Hepa1c1c7 cells (Fig. 6c). Further, FGF21 treatment increased the interaction of JMJD3 with PPARα, the expression of Atgl, Atg7, and Tfeb and the LC3 II/I ratio (Fig. 6d, Supplementary Fig. 8e, f). These FGF21-mediated effects were blocked by the p-defective T1044A mutation of JMJD3, while effects similar to those in FGF21-treated cells were observed even in vehicle-treated cells with a p-mimic T1044E mutation (Fig. 6c, d, Supplementary Fig. 8d–f). Notably, FGF21-induced phosphorylation of JMJD3 was detected in both the cytoplasm and nucleus of FGF21-treated cells, while the interaction of JMJD3 with PPARα was detected only in the nucleus (Supplementary Fig. 8g). Collectively, these results indicate that FGF21-induced phosphorylation of JMJD3 is critical for its activation and for the induction of autophagy genes.
FGF21-activated PKA mediates the phosphorylation of JMJD3
Analysis of JMJD3 sequence adjacent of Thr-1044 revealed motifs for several kinases, including PKA, as well as, a well-known FGF21 signaling kinase, ERK18,19 (Supplementary Fig. 9a). Fasting overnight increased the phosphorylation of JMJD3 and both PKA and ERK in control mice, but not in FGF21-LKO mice (Fig. 6e), consistent with mediation of the phosphorylation by fasting-induced FGF21. Indeed, FGF21 treatment in mice increased phosphorylation of JMJD3 and both PKA and ERK (Fig. 6f) and increased the interaction of JMJD3 with PKA, but not with ERK (Supplementary Fig. 9b). In in vitro kinase assays, PKA, but not ERK, phosphorylated WT-JMJD3, but not T1044A-JMJD3 (Fig. 6g) and in GST pull down assays, PKA directly interacted with JMJD3 through the domain containing Thr-1044 (Fig. 6h, Supplementary Fig. 9c). Importantly, in PMH, FGF21-induced phosphorylation of JMJD3 was significantly blunted by treatment with an inhibitor of PKA, but not of MEK/ERK (Fig. 6i). These findings indicate that FGF21 signal-activated PKA mediates the phosphorylation of JMJD3, which is important for induction of autophagy.
Beneficial FGF21 effects on fatty liver are JMJD3-dependent
FGF21 and its analogs have beneficial lowering lipid effects in obese animals and humans26,27,28. Knowing that JMJD3 promotes hepatic autophagy, including lipophagy (Fig. 2), and mitochondrial fatty acid oxidation15, and importantly, FGF21-induced autophagy is dependent on JMJD3 (Fig. 4), we next asked whether JMJD3 has a role in mediating the lipid-lowering effects of FGF21. Administration of FGF21 to high-fat diet (HFD) obese mice decreased body weight without significant changes in food intake and decreased the size of liver (Fig. 7a). Levels of hepatic lipids and TG (Fig. 7b) and long-chain acylcarnitine were decreased, and levels of serum ketone bodies (Fig. 7c) and glucose tolerance (Fig. 7d) were increased. O2 consumption and CO2 production (Fig. 7e, Supplementary Fig. 10) were increased, indicating increased energy expenditure. FGF21 treatment also increased autophagy gene expression and autophagy (Fig. 7f, g). Each of these FGF21-mediated effects was blunted in hepatic JMJD3-downregulated mice (Fig. 7a–g). These results demonstrate that JMJD3 is required for FGF21-induced autophagy and beneficial outcomes, particularly lowering lipids, in obese mice.
Expression of KLB in fatty livers improves FGF21 signaling
Circulating FGF21 levels are highly elevated in non-alcoholic fatty liver disease (NAFLD) patients, as well as, in obese animals, suggestive of impaired FGF21 signaling18,29,30. Further, decreased autophagic flux and defective autophagy have been implicated in the development of NAFLD5,6,31. We, therefore, examined the effect of a HFD on FGF21 signaling and hepatic autophagy in mice.
Responsiveness to FGF21, as measured by increased p-PKA and p-ERK levels, was impaired, and FGF21-mediated induction of autophagy was absent in HFD obese mice compared to lean mice (Fig. 8a). Since β-Klotho (KLB) is the essential coreceptor for FGF21 action18,19, and its hepatic expression is downregulated in obesity32, we examined the effect of feeding a HFD for different lengths of time on expression of JMJD3, KLB, and FGFR. The mRNA levels of JMJD3 and KLB were decreased, whereas those of Fgfr1 and Fgfr4 were increased, after feeding a HFD (Fig. 8b), suggesting that decreased expression of KLB may contribute to FGF21 resistance in obesity.
We, therefore, further tested whether restoring KLB levels in obese mice can rescue FGF21 signaling and subsequently, expression of JMJD3 and hepatic autophagy (Fig. 8c, top). Viral-mediated liver-specific expression of KLB in HFD obese mice resulted in increased p-ERK and p-PKA levels, increased JMJD3 protein levels, and increased ratios of LC3II/I proteins (Fig. 8c). These results suggest that restoring expression of KLB in obese mice improves FGF21 signaling and consequently, FGF21-induced autophagy.
Expression of JMJD3 and autophagy genes is reduced in NAFLD
To assess potential human relevance of our findings, we examined the expression of JMJD3 and key autophagy genes in livers of human NAFLD patients. Autophagy has been reported to be defective in these patients5,6,31. Intriguingly, hepatic mRNA levels of JMJD3, TFEB, ULK1, ATG7, and ATGL, were all decreased in both simple steatosis and advanced NASH-fibrosis patients compared to normal subjects (Fig. 9a). The mRNA levels of KLB was also decreased in the patients (Fig. 9a) with decreased p-ERK levels, suggesting impaired FGF21 signaling18,29,30 (Fig. 9b). Protein levels of JMJD3, TFEB, ATG7, ULK1, LC3-II, and p-ERK, detected by IB of liver extracts (Fig. 9b) or IHC of liver sections (Fig. 9c), were decreased in the patients. While these results in humans are only correlative and do not necessarily link a defective FGF21-JMJD3 axis with defective autophagy in the patients, these findings are consistent with results in obese mice (Figs. 7 and 8), suggesting that the FGF21-JMJD3-autophagy axis is dysregulated in NAFLD.
Discussion
The present study shows that histone demethylase JMJD3 is a key epigenetic activator of hepatic autophagy as part of a fasting-induced FGF21-JMJD3 signaling axis in mice. Numerous autophagy-network genes are induced by this axis under nutrient deprivation, including autophagy components, ATG7, LC3, and ULK1, autophagy gene activators, TFEB and Pgc-1α7, a lipase for autophagy-mediated lipid degradation, ATGL17, and expression of JMJD3 and FGF21, so that this axis likely has a major impact on autophagy. Since JMJD3 is conserved in many organisms13,14, including plants, yeast, C. elegans, mice, and humans, JMJD3-mediated epigenetic induction of autophagy might be a common adaptive mechanism for cellular survival and the maintenance of energy balance when nutrient deprivation persists.
Defective autophagy contributes to abnormal accumulation of hepatic TG and to fatty liver5,6 but the underlying mechanisms are not clearly understood. In this study, we identify a signaling mechanism by which JMJD3 promotes autophagy, including lipophagy, mediated by the fasting-induced hepatokine, FGF21. Impaired autophagy in FGF21-LKO mice strongly suggests that hepatic FGF21-induced physiologically during fasting can activate autophagy in an autocrine/paracrine manner. Remarkably, FGF21-mediated increases in autophagy and decreases in hepatic TG levels in mice were markedly attenuated by downregulation of hepatic JMJD3. Furthermore, JMJD3-mediated decreases in hepatic TG levels were largely abolished by liver-specific downregulation of ATG7 in mice, suggesting the critical role of functional autophagy in regulation of lipid levels by JMJD3. Recently, JMJD3 was shown to promote browning of white adipose tissue upon cold exposure, thereby increasing energy expenditure33. It will be, thus, interesting to see whether JMJD3 is also activated in adipocytes by fasting-induced FGF21 signaling to regulate energy balance as is the case in the liver.
Nutrient deprivation in the liver promotes hydrolysis of TG from lipid droplets to supply free fatty acids for mitochondrial β-oxidation for energy production and substrates for ketone body formation. Recently, we have shown that JMJD3, together with the fasting-sensing factors, SIRT1 and PPARα, promotes fatty acid β-oxidation, and that liver-specific downregulation of JMJD3 led to fatty liver and glucose intolerance15. In the present study, we further show that JMJD3 promotes autophagy-mediated lipid degradation and that JMJD3 is important for FGF21-mediated beneficial effects on decreased liver TG levels and improved autophagy in obese mice. These findings, together, identify JMJD3 as a key epigenetic activator mediating hepatic fasting responses by inducing transcription of hepatic network genes involved in autophagy-mediated lipolysis and fatty acid β-oxidation to maintain energy balance.
Despite extensive studies on FGF2118,19, intracellular signaling mechanisms by which the FGF21 signal is transformed to epigenetic regulation of genes is poorly understood. The present study reveals that FGF21-activated PKA mediates the phosphorylation of JMJD3, which is important for its nuclear localization and activation of autophagy genes. In recent phosphoproteome studies in adipocytes, FGF21 treatment increased phosphorylation of numerous kinases in addition to ERK1/2, including PKA34, which supports our conclusion that PKA is a mediator of the FGF21-JMJD3-autophagy axis. Our studies in vivo, hepatocytes, and in vitro provide strong evidence that PKA-mediated phosphorylation of JMJD3 at Thr-1044 in response to FGF21 acts as a key epigenetic switch to activate JMJD3, which results in induction of autophagy genes by demethylation of histone H3K27-me3 (Model, Fig. 9d). The critical role of PKA in mediating the FGF21-JMJD3-autophagy axis was surprising since FGF21 signaling is usually through the ERK pathway18,19. Further, we observed that inhibition of ERK, like PKA, also blocked FGF21-mediated autophagy (Supplementary Fig. 11), but not phosphorylation of JMJD3 (Fig. 6i), suggesting that ERK either acts downstream of PKA or independently of PKA/JMJD3. Further studies will be required to fully understand the interaction between PKA and ERK in response to FGF21 signaling.
There is increasing evidence that the cellular response to nutrient deficiency involves intriguing feed-forward autoregulatory loops. Upon nutrient deprivation, TFEB, a key transcriptional activator of autophagy, increases expression of Tfeb itself and also of Pgc-1α and Pparα, transcriptional activators of Tfeb7. Recently, JMJD3, together with SIRT1 and PPARα, was shown to form a positive autoregulatory loop upon fasting, and induces hepatic expression of their own genes, as well as, that of Fgf2115. In the present study, we further show that FGF21 activates JMJD3 via phosphorylation and in turn, this FGF21-activated JMJD3 induces expression of Fgf21. JMJD3 also epigenetically upregulates expression of its own gene and gene activators of autophagy, Tfeb, Pgc-1α, Sirt1, and Pparα. Thus, fasting triggers a positive feed-forward loop for autophagy induction wherein key components of the loop, including Jmjd3, Fgf21, Tfeb, and Pparα, positively regulate expression of each other to reinforce and amplify cellular responses to the fasting signal in the liver.
Circulating FGF21 levels are elevated in NAFLD patients18,29,30, suggestive of FGF21 resistance in obesity and defective autophagy has been implicated in the development and pathogenesis of NAFLD5,6,31. In the current study, we observed that hepatic expression of the FGF21 coreceptor35, KLB, is reduced in human NAFLD patients, as well as in obese mice, consistent with decreased FGF21 signaling. Remarkably, in vivo rescue of KLB expression in obese mice restored p-ERK and p-PKA levels, indicative of improved responsiveness to FGF21 signaling, and increased hepatic autophagy. We also observed that hepatic expression of autophagy components, ATG7, ULK1, and LC3-II, as well as autophagy gene activators, JMJD3 and TFEB, and p-ERK levels are decreased in NAFLD patients. Although correlative, these results suggest that a defective FGF21-JMJD3 axis may contribute to decreased autophagy flux in these patients, which has been reported previously34. Additional studies in humans will be required to determine whether there is a causal link between decreased FGF21 signaling and JMJD3 levels and decreased expression of autophagy genes and development of fatty liver in the patients.
Autophagy was shown to improve health and extend longevity36,37. Intriguingly, both JMJD3 and FGF21 extend life span in mice14,38, which potentially could be a result of their effects on promoting autophagy as shown in this study. Conversely, defective autophagy has been implicated in many diseases and aging36,37. Small molecule modulators targeting autophagy have been extensively studied as possible pharmacological agents for treatment of human diseases39,40. In this study, FGF21-induced phosphorylation of JMJD3 at Thr-1044 was important for induction of genes involved in hepatic autophagy and lipid degradation. Notably, such epigenetic regulators like JMJD3 often act in a gene-specific manner15 and posttranslational modifications of gene regulatory proteins may also modulate transcriptional outcomes in a gene-selective manner16,41,42. FGF21 signal-induced phosphorylation of JMJD3 at a single residue, Thr-1044, may, thus, provide a highly specific therapeutic option for treatment of NAFLD and other diseases associated with autophagy dysfunction.
Methods
Materials and reagents
Information on antibodies is provided in Supplemental Table 1. Rapamycin, bafilomycin A1, WY14643, oleic acid, and inhibitors of ERK and PKA were purchased from Sigma Inc, ON-TARGETplus mouse siRNAs for PPARα (J-040740), CREB1 (J-040959), FOXO1 (J-041127), FGF21 (M-063178-01-0005), and JMJD3 (J-063799) from Dharmacon, Inc, adenoviruses for JMJD3 and shRNA for ATG7 and KLB AAV viruses from Vector Builder, and AAV-TBG-Cre from Vector Biolabs.
Animal experiments
For liver-specific downregulation of JMJD3, 8-week-old male JMJD3-floxed mice15 were injected with AAV-TBG-Cre or -GFP (1.0 to 2.0 × 1011 active viral particles), and 12 weeks later the mice were fasted overnight or injected with FGF21 (0.1 mg/kg) 3 h before killing. For adenoviral expression of JMJD3, C57BL/6 mice were injected with Ad-GFP (control) or Ad-JMJD3 (0.5 to 1.0 × 109 active viral particles) 4 weeks before killing. For hepatic expression of JMJD3 or shRNA for ATG7, C57BL/6 male mice were injected with Ad-JMJD3 or Ad-shATG7 for 4 weeks before killing. PPARα-KO (Jackson Lab) and FGF21-LKO mice22 were fasted for 24 h or fed with normal chow. For hepatic downregulation of JMJD3 in obese mice, male JMJD3-floxed mice fed a HFD (60% fat; Research Diets) for 4 weeks were injected with AAV-TBG-Cre or -GFP and administrated FGF21 (5 mg/kg, i.v.) once every 2 days for 4 weeks as reported26. For GTT, mice were fasted overnight and injected i.p. with 2 g/kg glucose, and blood glucose levels were measured using an Accu-Chek Aviva Glucometer (Roche), and liver TG levels were measured using a Kit (Abcam, ab65336). The metabolic rate was measured by indirect calorimetry using the Comprehensive Lab Animal Monitoring System (Columbus Instruments). Mice were housed individually and maintained at 23 °C with 12 h light/dark cycles. Food and water were available ad libitum and O2 consumption and CO2 production were measured. All animal use and viral protocols were approved by Institutional Animal Use and Care and Biosafety Committees at the University of Illinois at Urbana-Champaign (UIUC).
Metabolomic analysis
For measuring acylcarnitine levels, liver samples (5 mg) were mixed with 500 μl of 90% of acetonitrile, sonicated for 10 s, and placed on ice for 20 min. After centrifugation at 14,000 rpm for 10 min, 100 μl of the supernatant was collected, and then, analyzed by using the Q-Exactive MS system (Thermo Fisher Scientific). Software Xcalibur 4.1.31.9 was used for data acquisition and analysis. The samples (15 μl) were injected into a Dionex Ultimate 3000 series HPLC system instrument in an isocratic flow (0.35 mL/min; 50% methanol in water with 0.1 % formic acid). Mass spectra were acquired under positive ESI (sheath gas flow rate, 49; aux gas flow rate: 12; sweep gas flow rate, 2; spray voltage, 3.5 kV; capillary temp, 259 °C; Aux gas heater temp, 419 °C) and the AGC target was 1E6 with a maximum injection time of 50 ms. The acylcarnitines were identified by the accurate mass. For measuring serum β-hydroxybutyrate level, 150 μl of acetonitrile was added to 50 μl of blood. Samples were vortexed, centrifuged at 14,000 rpm at 4 °C for 10 min, 100 μl of supernatant was transferred into a glass vial and derivatized by adding 50 μl of N-Trimethylsilyl-N-methyl trifluoroacetamide + 1% trimethylchlorosilane (Thermo Fischer Scientific) for 1 h at 50 °C, and then, injected into the GC-MS system consisting of Agilent 7890B gas chromatography and an Agilent 5977 A MSD. Separation performed on a ZB-5MS capillary column (Phenomenex). A constant flow rate of 2 ml/min for the helium carrier gas was maintained at 70 °C for 5 min, followed by increases of 5 °C/min to 120 °C, then 40 °C/min to 300 °C for 5 min. The mass spectrometer operated in positive electron impact mode at 69.9 eV ionization energy at m/z 33–600 scan range. Samples were analyzed in combined scan/SIM mode (m/z 233). β-hydroxybutyrate identification was performed using the mass spectra obtained from the authentic standards (Sigma-Aldrich) and additionally confirmed with NIST08 and W8N08 libraries (John Wiley & Sons, Inc.). A calibration curve was generated for the 10-0.15 mM concentration range. Quantitation was performed using Mass Hunter Quantitative Analysis B.08.00 (Agilent Inc.) software. LC-MS and GC-MS analyses were performed in the Metabolomics Laboratory of Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign.
RNA-seq
JMJD3 was downregulated by infection of JMJD3-floxed mice with AAV-TBG-Cre, and controls were injected with AAV-GFP. The mRNAs from livers of fasted mice (n = 3/group) were prepared using the RNeasy mini prep kit (Qiagen). The cDNA libraries were sequenced using an Illumina HiSeq2000 (Illumina, San Diego, CA) to produce paired-end 100 bp reads. One library of reads per biological sample was examined for sequencing errors prior to mapping. Sequencing alignment was performed by STAR ver 2.5.0a. Gene ontology analysis was performed using the program DAVID.
ChIP-seq
JMJD3-floxed mice were infected with AAV-TBG-Cre or AAV-GFP for 3 months and fasted for 16 h (n = 2/group). The precleared liver chromatin samples were immunoprecipitated with H3K27-me3 antibody, chromatin was eluted, and DNA was isolated. Samples containing 18 ng of DNA were used for genomic sequencing (Biotechnology Center, UIUC). Raw sequencing reads were processed using the AQUAS pipeline (https://github.com/kundajelab/chipseq_pipeline, git commit version id: 910ba91b9e9ba51f51497b39134c8e737a5184a5), which is based on the ENCODE (phase-3) histone ChIP-seq pipeline specifications. The project-specific parameters used were ‘-type histone -species mm10 –use_pooled_ctl’. Specifically, reads were mapped to the mouse reference genome (mm10) using bwa (version 0.7.13). Post-alignment filtering was done by Samtools (version 1.2) and Picard (version 1.126). Peak calling was done by MACS (version 2.1.0). The final overlapped peaks across replicates were determined as the H3K27-me3 enriched regions. Mouse gene annotation (refGene) for mm10 was downloaded from the UCSC Genome Browser. GO analysis was performed using DAVID (david.abcc.ncifcrf.gov).
Mass spectrometry
Flag-mouse JMJD3 was expressed in PMH and 48 h later, the cells were treated with 5 µM MG132 for 4 h and then, treated with FGF21 (100 ng/ml) for 30 min. Flag-JMJD3 was purified by binding to M2 agarose, the beads were washed 10 times with IP buffer, and the bound proteins were analyzed by LC-MS/MS. Mass spec analyses were carried out using a Thermo LTQ Fusion Orbitrap connected to a Thermo Dionex 3000 nano RSLC. Chromatography was accomplished using a 15-cm Thermo Acclaim PepMap 100 C-18 column with mobile phase of 0.1% FA in water (A) and acetonitrile with 0.1% FA (B) at a flow rate of 300 nl/min and temperature at 40 °C. Peptides were eluted from 5% B to 60% B in 60 min. The mass spectrometer was operating in the data dependent mode, and precursor scans from 300 to 1500 m/z (120,000 resolution) were followed by collision (35% NCE, 1.6 m/z isolation window, 60 s exclusion window). Raw data were analyzed by in house Mascot Server (version 2.5.1) against the NCBIProt Mus musculus database 0829 (1 September 2019) containing 150,813 sequences. Search parameters were: peptide mass tolerance 10 ppm; fragment tolerance 0.6 Da; cleavage agent was trypsin; miscleaves 2,3,4; variable modifications were set for Acetyl (Protein-term), Oxidation (M), Phospho (ST), Phospho (Y); FDR 1%. Protein identification and PTM cutoff were set for p < 0.05. The p value for the identification and characterization of the phosphorylated JMJD3 peptide was calculated using Mascot43 (Matrix Science (London, UK), which uses probability based scoring.
Transmission electron microscopy
Mouse liver samples were fixed in Karnovsky’s fixative and with 2% osmium tetroxide followed by the addition of 3% potassium ferricyanide for 30 min. After washing with water, samples were stained with uranyl acetate, dehydrated with ethanol, and the sample was embedded in epoxy using the Epon substitute Lx112. Ultrathin sections were stained with uranyl acetate and lead citrate, and imaged with a Hitachi H600 transmission electron microscopy (TEM).
Immunofluorescence
Hepa1c1c7 cells were transfected with expression plasmids for GFP-LC3 and JMJD3 and 48 h later were incubated in complete media or HBSS for 2 h. Lipids were stained with BODIPY and counterstained with DAPI and were detected by confocal microscopy. For IHC, proteins in mouse liver were detected using an HRP/DAB kit (ab64261, Abcam). Nuclei were stained with hematoxylin, and samples were imaged with a Nanozoomer (Hamamatzu). Liver tissue was frozen in OCT compound, sectioned, and stained with H&E and Oil Red O.
ChIP, re-ChIP, and CoIP
Liver tissue was minced, washed twice in PBS, and then incubated with 1% formaldehyde for 10 min at 37 °C. Glycine was added to 125 mM for 5 min at room temperature. Chromatin solutions in sonication buffer (50 mM Tris-HCl, pH 8.0, 2 mM EDTA, and 1% SDS) were sonicated four times with 10 s intervals using a QSonica XL-2000 instrument at power output setting 8. Then, chromatin sample was precleared and chromatin was immunoprecipitated using 1–2 µg of antibody or IgG. The immune complexes were collected by incubation with a Protein G Sepharose slurry for 1 h, washing with 0.1% SDS, 1% Triton X-100, 2 mM EDTA, 20 mM Tris-HCl, pH 8.0, three times containing successively 150 mM NaCl, 500 mM NaCl, or 0.25 M LiCl, and then eluted and incubated overnight at 65 °C to reverse the crosslinking. DNA was isolated for qPCR. For re-ChIP, chromatin samples were immunoprecipitated with the first antibody, the beads were washed, chromatin was eluted with 10 mM DTT, diluted 20X with 20 mM Tris-HCl, pH 8.0, 150 mM NaCl, 2 mM EDTA, 1% Triton X-100, and immunoprecipitated with the second antibody. Sequences of primers used for the qPCR are in Supplementary Table 2. For CoIP, cell extracts were prepared by brief sonication in CoIP buffer (50 mM Tris–HCl, pH 8.0, 150 mM NaCl, 2 mM EDTA, 0.5% NP‐40, 5% glycerol). The samples were incubated with 1-2 μg of antibodies for 3 h and 30 μl of a 25% protein G agarose slurry was added. One hour later, beads were washed with CoIP buffer three times and bound proteins were detected by IB.
Cell culture
Primary mouse hepatocytes (PMH) were isolated by collagenase (0.8 mg/ml, Sigma, Inc) perfusion through the portal vein of mice anesthetized with isoflurane. Hepatocytes were filtered through a cell strainer (100 µm nylon, BD), washed with M199 medium, resuspended in M199 medium, centrifuged through 45% Percoll (Sigma, Inc.), and cultured in M199 medium containing 10% FBS. Hepa1c1c7 and HepG2 cells were cultured in DMEM containing 10% FBS.
Luciferase reporter assays
DNA fragments near Tfeb and Atg7 that contained PPARα peaks9 were amplified by PCR from mouse genomic DNA and cloned into the pGL3-basic vector (Promega). The DR1 motifs were mutated using site-directed mutagenesis (Agilent Tech). Hepa1c1c7 cells were transfected with indicated plasmids and luciferase activities were normalized to β-galactosidase activities.
Nuclear localization studies
Nuclear and cytoplasmic fractions of the PMH cells were isolated using NE-PER Nuclear and Cytoplasmic Extraction Reagents (Thermo-Fisher Scientific Inc.) and the proteins were detected by IB. Cytoplasmic GAPDH and nuclear LAMIN-A were detected to assess the quality of the fractionation. For imaging studies, Hepa1c1c7 cells were fixed with 4% paraformaldehyde, permeabilized with PBS containing 3% BSA, 0.1% Triton X-100, incubated with M2 antibody for 2 h, washed and incubated with Alexa Fluor 488-conjugated donkey anti-mouse IgG for 1 h. Nuclei were stained with Hoechst 33,258 and imaged by confocal microscopy (Zeiss, LSM700).
In vitro kinase assay
Flag-JMJD3 proteins expressed in HepG2 cells were isolated by M2-agarose, the beads were washed with the lysis buffer and with kinase buffer (50 mM Tris-HCl, pH 7.5, 10 mM MgCl2, 1 mM DTT). Flag-proteins bound to M2-agarose were incubated with 20 μM ATP and 20 ng of PKA (Biorbyt) or ERK1/2 (MyBiosource) in kinase buffer at 30 °C for 30 min, and JMJD3 phosphorylation at Thr was detected by IB.
GST pull down assay
Bacterially expressed and affinity purified GST-JMJD3 proteins15 were incubated with Pka or ERK1/2, and bound proteins were detected by IB.
Quantification of mRNA
RNA was isolated from liver and quantified by q-RTPCR, normalized to 36b4 mRNA. Primer sequences are in Supplementary Table 2.
NAFLD patient study
Liver specimens from 15 unidentifiable normal individuals or steatosis or severe NASH-fibrosis patients were obtained from the Liver Tissue Procurement and Distribution System that operates under a contract from the National Institutes of Health. Because the specimens or data were not collected specifically for this study and no one on our study team has access to the subject identifiers linked to the specimens or data, this study is not considered human subjects research and ethical approval was not required (See §46.104 in Part 46—Protection Of Human Subjects in the Electronic Code of Federal Regulations at the following link: https://www.ecfr.gov/cgi-bin/retrieveECFR?gp= &SID=83cd09e1c0f5c6937cd9d7513160fc3f&pitd=20180719&n=pt45.1.46&r=PART&ty=HTML#se45.1.46_1104). Protein levels were detected by IB and IHC and mRNA levels were quantified by q-RTPCR.
Statistical analyses
GraphPad Prism 6 (GraphPad software version 6.01) was used for data analysis. Statistical significance was determined by the Mann–Whitney test or one- or two-way ANOVA with the Bonferroni post-test for single or multiple comparisons as appropriate. Whenever relevant, the assumptions of normality were verified using the Shapiro–Wilk test, Kolmogorov-Smirnov test and the D’agostino-Pearson omnibus test. P-values < 0.05 were considered as statistically significant.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Data availability
The data that support the findings of this study are available from the corresponding author upon reasonable request. The RNA-seq and ChIP-seq data are deposited in the GEO database with the Accession Numbers GSE137555 [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE137555] and GSE138157 [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE138157], respectively. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository (http://www.ebi.ac.uk/pride) with the dataset identifier PXD015672. The source data underlying Figs. 1a, e–g, 2a–e, g, 3a–h, 4a–f, 5b–g, 6b, d–I, 7a–h, 8a–c, and 9a, b and Supplementary Figs. 1a–c, 3a–f, 5, 6a–c, 7a, c–f, 8b–g, 9b, c, 10, and 11 are provided as a Source Data file.
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Acknowledgements
We thank Matthew J. Potthoff at the University of Iowa for providing liver samples from FGF21-LKO mice. We also thank Giyeong Kim for constructing the Tfeb and Atg7 luciferase reporter plasmids containing PPARα cistrome. Liver tissues of normal subjects and NAFLD patients were obtained through the Liver Tissue Cell Distribution System, University of Minnesota, which was funded by NIH Contract # HHSN276201200017C. Petri dish, mouse, and liver images in the figures are unmodified images provided by Servier Medical Art, licensed under a Creative Commons License [https://creativecommons.org/licenses/by/3.0/legalcode]. This study was supported by an American Heart Association post-doctoral fellowship to SB (17POST33410223), an American Heart Association scientist development award (16SDG27570006) to Y.C.K., and by grants from the American Diabetes Association (1-16-IBS-156) and National Institutes of Health (DK062777 and DK095842) to J.K.K.
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S.B., S.S. and J.K.K. designed research; S.B., S.S., and Y.C.K. performed experiments; S.B., S.S., Y.C.K., B.K. and J.K.K. analyzed data; N.I. provided JMJD3-flox mice; H.E.X. provided purified FGF21; P.Y. performed proteomic analysis; Y.C.K., Y.Z. and J.M. performed genomic analyses, and S.B., S.S., B.K. and J.K.K. wrote the paper.
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Byun, S., Seok, S., Kim, YC. et al. Fasting-induced FGF21 signaling activates hepatic autophagy and lipid degradation via JMJD3 histone demethylase. Nat Commun 11, 807 (2020). https://doi.org/10.1038/s41467-020-14384-z
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DOI: https://doi.org/10.1038/s41467-020-14384-z
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