Dynamic metabolic changes occur in the liver during the transition between fasting and feeding. Here we show that transient ER stress responses in the liver following feeding terminated by Sdf2l1 are essential for normal glucose and lipid homeostasis. Sdf2l1 regulates ERAD through interaction with a trafficking protein, TMED10. Suppression of Sdf2l1 expression in the liver results in insulin resistance and increases triglyceride content with sustained ER stress. In obese and diabetic mice, Sdf2l1 is downregulated due to decreased levels of nuclear XBP-1s, whereas restoration of Sdf2l1 expression ameliorates glucose intolerance and fatty liver with decreased ER stress. In diabetic patients, insufficient induction of Sdf2l1 correlates with progression of insulin resistance and steatohepatitis. Therefore, failure to build an ER stress response in the liver may be a causal factor in obesity-related diabetes and nonalcoholic steatohepatitis, for which Sdf2l1 could serve as a therapeutic target and sensitive biomarker.


Glucose and lipid metabolism in the liver undergo dynamic changes during the transition between fasting and feeding1. During fasting, the liver releases glucose by glycogenolysis and gluconeogenesis, and ketone bodies by fatty acid oxidation, while during feeding, it stores excessive nutrition derived from food by synthesizing glycogen and fatty acids. Insulin is a major regulator in this context by promoting anabolism and suppressing catabolism2,3,4,5.

Conversely, dysregulation of these processes may lead to metabolic disorders. For instance, we have previously shown that in obesity, hepatic IRS-2 expression during fasting, which should be up-regulated, is eventually down-regulated due to hyperinsulinemia, resulting in impaired insulin signaling in the liver6. Hepatic insulin resistance, in turn, accelerates hyperinsulinemia itself, which impairs insulin signaling in other tissues as well7. Hyperinsulinemia also contributes to up-regulation of hepatic SREBP1c even during fasting, when it should be down-regulated, causing excessive fatty acid synthesis8,9. However, our understanding of the dynamic metabolic regulation in the liver prompted by fasting and feeding is still limited and it remains largely unknown how dysregulation of this process causes metabolic diseases, such as type 2 diabetes.

Endoplasmic reticulum (ER) stress is becoming an emerging player in the regulation of metabolism in the liver. The ER is an organelle involved in synthesis of secretory and membrane proteins. In the ER, unfolded proteins, immediately after translation and entrance into the organelle, are matured through modification, such as folding, initiation of glycosylation, and formation of disulfide bonds. Under ER stress, in which unfolded proteins accumulate in the ER due to increased protein synthesis or chaperone dysfunction, various responses are induced, including both cytoprotective responses and cytotoxic ones10. In the field of metabolism, impaired or excessive responses to chronic ER stress are thought to result in hepatic insulin resistance and fatty liver disease11,12,13,14,15,16,17,18. There has been a controversy, however, about whether ER stress and ER stress responses are enhanced or suppressed in obesity and diabetes19,20,21. It is still unclear what stimulation induces ER stress in the liver, and which molecule mainly resolves the stress. Moreover, in humans, although some ER stress markers are elevated in insulin resistance and nonalcoholic steatohepatitis (NASH)22,23, little is known about the contribution of ER stress responses to these disorders.

In this study, we identify an ER-resident molecule, stromal cell-derived factor 2 like 1 (Sdf2l1) as a physiological regulator of ER stress responses induced by feeding in the liver, and demonstrate that suppression of the molecule causes sustained ER stress, leading to insulin resistance and hepatic steatosis. These data reveal a crucial link between ER stress and both insulin resistance and fatty liver disease.


Feeding induces ER stress responses in the liver

To explore the precise mechanism and physiological implications of the dynamic metabolic changes between fasting and feeding conditions in the liver, we searched the microarray data using murine liver samples comparing the fasting and feeding conditions in the public domain, and found a data set (GEO accession: [GSE59885]), indicating 193 transcripts up-regulated (Supplementary Table 1) after refeeding in the control mice. Those up-regulated included ER stress-related genes, such as Hspa5 (encoding BiP), Syvn1 (encoding Hrd1), Ero1lb, Dnajb11 (encoding ERdj3), Ddit3 (encoding CHOP), Hyou1 (encoding ORP150), Pdia3 (encoding PDI), and Xbp1.

We were particularly interested in Sdf2l1 among the genes highly up-regulated by refeeding, which showed an about 6-fold increase in expression. Sdf2l1 is thought to be an ortholog of ER proteins Pmt1p and Pmt2p, both of which are O-mannosyltransferases in yeast, and has been reported to have an ER-retention-like motif in the C terminus24, which is essential for transportation from the Golgi apparatus back to the ER25, and to function as a component of the ER chaperone complex26,27,28,29. Little is known, however, of its role in glucose and lipid metabolism.

We then further examined the time course in detail. Although expression of ER stress marker genes, including classical ones, namely spliced Xbp1 (sXbp1, encoding XBP-1s), Hspa5, and Ddit3, as well as Sdf2l1, showed little change during fasting, it was elevated prominently and transiently after refeeding (Fig. 1a and Supplementary Fig. 1a). Thus we focused on the refed state thereafter, and at the protein level, phosphorylation, expression, and nuclear localization of ER stress markers, as well as Sdf2l1, were also elevated during refeeding, as analyzed by total lysates (Fig. 1b and Supplementary Fig. 1b, c), immunoprecipitates (Supplementary Fig. 1d), and nuclear extracts (Fig. 1c). Moreover, Sdf2l1, as well as BiP, was isolated mainly in microsomal fractions, which also showed elevation during refeeding (Fig. 1d). These data suggest that transient ER stress is induced in the liver by the physiological stimulation of feeding, even in lean nondiabetic mice.

Fig. 1
Fig. 1

ER stress induced by feeding in the liver and regulation of Sdf2l1 expression. ad C57BL/6J mice in an ad libitum-fed state were fasted for 24 h and then refed for 6 h, and ER stress markers were analyzed by a RT-PCR (n = 4), b Western blotting of total lysates (n = 3), c Western blotting of nuclear extracts (XBP-1s and nATF6 were detected at 55 and 50 kDa, respectively) (n = 4), and d Western blotting of microsomal fractions (n = 4). eg Sdf2l1 promoter assays in Fao cells by transfecting luciferase (Luc) plasmids, with tunicamycin treatment, assessed with one-way ANOVA (n = 3), e using deletion mutants of upstream sequences, f using partial or total deletion mutants of the 11 bases of interest, and g using reporter plasmids, with knocking down of Xbp1 and/or Atf6. h ChIP assay, using antibodies recognizing XBP-1 or ATF6, for analysis of binding with the Sdf2l1 promoter in the liver, in a 24-h fasted state and a 3-h refed state (n = 3). The relative expression levels were normalized by the upstream region (−3.5 kb) and then by control IgG (rabbit or mouse IgG, respectively). Values of the data are expressed as mean ± SEM. *P < 0.05, **P < 0.01. Unpaired 2-tailed t-test was used for assessment

We also found that Sdf2l1, but not the other orthologs of Pmt1/2p, was induced by feeding in the liver, but not or hardly in other tissues, despite wide expression in insulin-targeted organs (Supplementary Fig. 1a, e, f).

ER stress is usually caused in response to the increased burden of protein synthesis, and we found that some of the regulators were activated by refeeding (Supplementary Fig. 1c). Nutrients and insulin that abundantly reach the liver during feeding are known to promote protein synthesis3,5,30. Thus, we assessed the effect of nutrients by depleting each of them from the animals’ feed (except carbohydrates, because the deprivation markedly decreased food intake itself even after 24-h fasting). This revealed that deprivation of protein partially attenuated the feeding-induced ER stress responses, whereas lipid deprivation failed, except slightly attenuated induction of Sdf2l1 (Supplementary Fig. 2a). We also assessed the effect of insulin, using mice treated with streptozotocin (STZ) as an insulin-deficient animal model, and found that the ER stress responses were also partially suppressed by the treatment (Supplementary Fig. 2c). Finally, STZ-treated mice fed with protein-deprived feed exhibited almost complete suppression of ER stress responses during feeding (Supplementary Fig. 2e), paralleled with suppressed activation of protein synthesis markers (Supplementary Fig. 2b, d, f).

Induction of Sdf2l1 as an ER stress response

Although expression of Sdf2l1 in the liver was increased in parallel with the ER stress responses, it remained unclear whether ER stress directly induced the expression. Indeed, Sdf2l1 was induced by tunicamycin and thapsigargin in Fao cells (Supplementary Fig. 3a), suggesting that it might be a component of ER stress responses. Furthermore, we generated an adenovirus encoding luciferase under the Sdf2l1 promoter, Ad-Sdf2l1-Luc, and confirmed the promoter activity was strongly enhanced both in vitro by tunicamycin and in vivo by refeeding (Supplementary Fig. 3b,c).

Next, we performed promoter assays using Fao cells, and found that the Sdf2l1 promoter activity was enhanced by ER stress (Fig. 1e and Supplementary Fig. 3d). Deletion experiments revealed that the region within ~−100 bp is essential for the ER stress mediated activation of the promoter (Fig. 1e, f), where we found a motif similar to ER stress response elements (ERSEs) targeted by XBP-1s and nuclear ATF6 (nATF6)10, which is conserved among mice, rats and humans (Supplementary Fig. 3e, f). Indeed, the activity was suppressed by knocking down of either transcription factor, in parallel with the efficiency of RNA interference, and importantly, it was almost blunted by knocking down of both (Fig. 1g and Supplementary Fig. 3g).

Moreover, chromatin immunoprecipitation (ChIP) assays showed that the binding of XBP-1s and nATF6 was elevated during refeeding with the region of interest (ROI) of the Sdf2l1 promoter, as well as with the ERSE of the Hspa5 promoter (Fig. 1h and Supplementary Fig. 3h). These data suggest that ER stress directly induces Sdf2l1 expression via XBP-1s and nATF6.

The next question was how Sdf2l1 functions in ER stress responses in the liver. We hypothesized that it could be involved in ER stress-associated degradation (ERAD), because Pmt1/2p, orthologs of Sdf2l1, enhance ubiquitination via O-mannosylation of unfolded proteins in yeast, as an initiation of ERAD31,32,33. We expressed the fusion protein Pmt2-Sdf2l1 in yeast lacking Pmt2, but failed to increase the mannosylation of a mutant secretory protein, a pro-region-deleted derivative of Rhizopus niveus aspartic proteinase I (Δpro), which was promoted by the restoration of Pmt2 (Supplementary Fig. 3i, j). Together with the fact that in mammals, O-mannosylation itself is scarcely detected with only a few exceptions34, it is likely that Sdf2l1 does not have an O-mannosyltransferase activity. However, it still remained possible that Sdf2l1 could promote ERAD, and thus to test this possibility, we expressed Ins2C96Y, a mutant insulin found in Akita mice, which is degraded by ERAD35, in Sdf2l1-floxed murine embryonic fibroblasts (MEF) (Supplementary Fig. 4a–c). Accumulation of the ubiquitinated mutant insulin was markedly increased by the absence of Sdf2l1, which was reversed by reexpressing Sdf2l1 (Fig. 2a, b and Supplementary Fig. 4d). Interestingly, such accumulation was not observed by knocking down of BiP or thapsigargin-induced global dysfunction of the ER (Fig. 2c), although Sdf2l1 has been reported to bind to BiP in other tissues26,27,28. Moreover, ER stress was further enhanced by additional knocking down of Hspa5 compared to knocking down of Sdf2l1 alone (Fig. 2d).

Fig. 2
Fig. 2

Functions of Sdf2l1 in vitro. ac, f Cultured cells were infected with Ad-InsC96Y, whose lysates were immunoprecipitated for Western blotting: a, b Sdf2l1-floxed MEF cells, with a co-infection of Ad-Cre to knock out Sdf2l1, and with b further co-infection of Ad-Sdf2l1-FLAG to restore the expression; c NIH/3T3 cells, with either Sdf2l1 or Hspa5 knocked down, or with treatment with thapsigargin for 6 h; f primary hepatocytes, with Sdf2l1 or Tmed10 knocked down. In a, the lanes were run on the same gel but were noncontiguous. Multi: multiubiquitinated insulin, Mono: monoubiquitinated insulin. d RT-PCR to analyze ER stress marker gene expression in NIH/3T3 cells with Sdf2l1 and/or Hspa5 knocked down, treated with tunicamycin treatment (n = 3). e Wild-type mice were administered with Ad-Sdf2l1-FLAG intravenously (2.0 × 107 PFU/g body weight [BW]), and refed for 6 h after fasting for 24 h, whose microsomal fractions were immunoprecipitated for Western blotting. g RT-PCR to analyze ER stress marker gene expression in primary hepatocytes, with ER-resident molecule(s) knocked down, treated with 100 nM insulin for 2 h after serum starvation for 16 h (n = 4). Values of the data are expressed as mean ± SEM. *P < 0.05, **P < 0.01. One-way ANOVA was used for assessment

The lack of enzyme activity and the functional difference with BiP suggested the existence of another partner of Sdf2l1. We explored it by mass spectrometric analysis of immunoprecipitated microsomal fraction of Sdf2l1-knockout MEF expressing Sdf2l1-FLAG (Supplementary Fig. 3i) and treated with tunicamycin. Among the 48 candidates, including DNAJB11 (also called ERdj3), a known partner of Sdf2l1 involved in protein folding26,27,29, we screened ER-resident proteins and, of those tested, focused on transmembrane emp24-like trafficking protein 10 (TMED10) (Supplementary Table 2). TMED10 is the ortholog of p24, a membrane protein which interacts with Pmt1/2p and promotes ER export of unfolded proteins for ERAD in yeast32, and is known to be involved in COPII vesicle-mediated protein transportation from the ER to the Golgi apparatus in mammals36. Although TMED10 showed almost constitutive expression patterns, contrary to Sdf2l1 (Fig. 1d and Supplementary Figs. 1a and 3a), Sdf2l1 bound to the 24 kDa isoform of TMED10, but not to βCOP, a key component of COPII vesicles, in the liver (Fig. 2e). Knocking down of Tmed10 resulted in accumulated mutant insulin in primary hepatocytes, just as knocking down of Sdf2l1 did (Fig. 2f and Supplementary Fig. 5a, b). In insulin-treated primary hepatocytes, which partially mimicked the liver in a fed state, knocking down of either Sdf2l1 or Tmed10 up-regulated ER stress markers. Interestingly, compared to knocking down of Sdf2l1 alone, additional knocking down of Hspa5 further up-regulated ER stress markers, while additional knocking down of Tmed10 did not (Fig. 2g and Supplementary Fig. 5a, b). These data imply that Sdf2l1 plays a key role in the process of ERAD, in cooperation with TMED10 and in an independent manner of BiP. Moreover, it is known that Pmt1/2p promotes Hrd1p-mediated ERAD in yeast32, and actually also in mice, the effects of knocking down of Sdf2l1 were mainly dependent on Hrd1 (Supplementary Fig. 5c, d), the major E3 ligase in the canonical pathway of ERAD in mammals37.

Sdf2l1 modulates ER stress responses and metabolism

We then assessed the physiological and pathophysiological roles of Sdf2l1 in vivo. We knocked down Sdf2l1 specifically in the liver of wild-type mice by adenovirus-mediated gene transfer of shRNA for Sdf2l1 (Fig. 3a, b). Although these mice showed no changes in body weight, ER stress was enhanced during refeeding, accompanied by up-regulation of genes involved in oxidative stress and inflammation (Fig. 3a, c and Supplementary Fig. 6a, b).

Fig. 3
Fig. 3

Functions of Sdf2l1 in vivo. Wild-type mice were administered with Ad-Sdf2l1 RNAi intravenously (2.0 × 107 PFU/g BW) to knock down the gene in the liver. ac ER stress and insulin signaling in the liver (n = 4–5), analyzed by a RT-PCR (n = 4–5), b Western blotting of microsomal fractions (n = 4), and c Western blotting of total lysates (n = 4). df Effects of knocking down on glucose metabolism (n = 9–11): d ad libitum-fed plasma glucose, e plasma glucose in insulin tolerance test (ITT), after intraperitoneal injection of human regular insulin (0.75 U/kg BW), f plasma glucose and insulin levels in an oral glucose tolerance test (OGTT), after oral administration of glucose (0.75 g/kg BW), following 16 h of fasting. gi Results of hyperinsulinemic-euglycemic clamp studies after 3 h of fasting (2.5 mU/kg/min, n = 6–7), in wild-type mice with Sdf2l1 knocked down: g glucose infusion rate (GIR), endogenous glucose production (EGP), and rate of glucose disappearance (Rd); h, i the liver samples after the clamp studies were analyzed by h Western blotting and i RT-PCR. j, k Effects of knocking down on lipid metabolism, analyzed with j triglyceride contents quantification (n = 4–5), and k Oil Red O staining. Values of the data are expressed as mean ± SEM. *P < 0.05, **P < 0.01. Unpaired 2-tailed t-test was used for assessment. Scale bars: 100 μm

With regards to glucose metabolism, the knocking down of Sdf2l1 resulted in elevated plasma glucose levels in an ad libitum-fed state, systemic insulin resistance, glucose intolerance, and impaired insulin signaling at the level of Akt after refeeding compared to findings for the mice treated with the control virus (Fig. 3c–f and Supplementary Fig. 6c). Hyperinsulinemic-euglycemic clamp studies also showed systemic insulin resistance, enhanced gluconeogenesis, accompanied by impaired insulin signaling and elevated gluconeogenic gene expression in the liver (Fig. 3g–i), although the impairment was not evident in skeletal muscle (Fig. 3g and Supplementary Fig. 6d).

We examined lipid metabolism as well, and found that triglyceride contents were markedly increased in the liver by knocking down of Sdf2l1 (Fig. 3j, k). Indeed, expression of genes involved in fatty acid synthesis and nuclear translocation of the related transcription factors was significantly increased (Fig. 3a and Supplementary Fig. 6b), despite up-regulated lipolytic gene expression in the liver, probably in a compensatory manner, and non-altered plasma free fatty acid levels (Supplementary Fig. 6b, e).

We also generated liver-specific Sdf2l1-knockout mice by administering adenovirus expressing Cre recombinase to Sdf2l1-floxed mice (Fig. 4a and Supplementary Fig. 4a–c), which exhibited similar phenotypes for a longer period (Fig. 4b–i), further supporting data of the knocking down model.

Fig. 4
Fig. 4

Generation and phenotypes of the knock out model of Sdf2l1. Sdf2l1-floxed mice were administered with Ad-Cre (3.0 × 107 PFU/g BW), to generate a liver-specific Sdf2l1 knockout model in adults. a Detection of deleted exon 2 of the Sdf2l1 gene by PCR. b, di Metabolic phenotypes analyzed 3–6 weeks after the adenovirus administration (n = 8–9): b body weight, d ad libitum-fed plasma glucose, e plasma glucose in insulin tolerance test (ITT), after intraperitoneal injection of human regular insulin (0.75 U/kg BW), f plasma glucose levels in an pyruvate tolerance test, after intraperitoneal injection of pyruvate (1.5 g/kg BW), g plasma glucose levels in an oral glucose tolerance test (OGTT), after oral administration of glucose (0.75 g/kg BW), following 16 h of fasting. c ER stress in the liver (n = 3–6), analyzed by RT-PCR. h, i Effects on lipid metabolism, analyzed with h triglyceride contents quantification (n = 3–6), and i Oil Red O staining. Values of the data are expressed as mean ± SEM. *P < 0.05, **P < 0.01. Unpaired 2-tailed t-test was used for assessment. Scale bars: 100 μm

Impaired ER stress responses in obesity and diabetes

We then investigated the role of Sdf2l1 in the development of diabetes and fatty liver disease. To this end, we first examined the profile of the ER responses during fasting and feeding in db/db mice, as a model of obesity, diabetes, and fatty liver disease. We found that ER stress sensors were activated in parallel with enhanced protein synthesis markers (Fig. 5a and Supplementary Fig. 7a, b). As for the IRE1α-ATF6 branch, sXbp1 mRNA was up-regulated only slightly (Fig. 5b), possibly suggesting impaired and delayed splicing activity of IRE1α. XBP-1s and nATF6 located in the nucleus were significantly decreased early in the refed state (Fig. 5c), as we and others have previously reported19,20,38. ChIP assay showed that the binding to the Sdf2l1 promoter, as well as to the Hspa5 promoter, was suppressed markedly in case of XBP-1, and to a much less extent in case of ATF6 (Fig. 5d and Supplementary Fig. 7c). Consequently, the downstream chaperones were markedly down-regulated, although TMED10 protein showed little change in expression (Fig. 5b, e). Regarding the PERK branch, eIF2α was less activated, possibly due to dysfunction of PERK as a kinase, and Ddit3 mRNA was down-regulated as well (Fig. 5a, b and Supplementary Fig. 7b).

Fig. 5
Fig. 5

ER stress responses in obesity and diabetes. Both db/db mice and m/m mice were fasted for 24 h and refed for 6 h. ac, e ER stress markers were analyzed by a Western blotting of total lysates (n = 4), b RT-PCR (n = 3–6), c Western blotting of nuclear extracts (n = 3–7), and e Western blotting of microsomal fractions (n = 3–4). d ChIP assay, using antibodies recognizing XBP-1 or ATF6, for analysis of binding of transcription factors with the Sdf2l1 promoter in the liver, in a 1-h refed state after 24 h of fasting (n = 3). The relative expression levels were normalized by the upstream region (−3.5 kb) and then by control IgG (rabbit or mouse IgG, respectively). Values of the data are expressed as mean ± SEM. *P < 0.05, **P < 0.01. Unpaired 2-tailed t-test was used for assessment

These data suggest the existence of a vicious cycle; despite the enhanced ER stress, downstream molecules of the cascade that are expected to cope with ER stress could be suppressed in expression or insufficiently activated, which we call ER stress response failure, resulting in further excessive ER stress. Among them, Sdf2l1 was most prominently down-regulated both during fasting and feeding, accompanied by delayed nuclear localization of XBP-1s during refeeding, presumably due to the decreased insulin action to promote the translocation of XBP-1s by binding to p8520,38.

ER stress marker genes were similarly down-regulated in another model of severe insulin resistance, ob/ob mice (Supplementary Fig. 7d). In diet-induced obesity, physiological regulation of ER stress responses was partially impaired in parallel with mild insulin resistance (Supplementary Fig. 7e).

Effects of restoring hepatic expression of Sdf2l1

In order to rescue ER stress response failure in db/db mice, we first enhanced hepatic expression of sXbp1, an upstream transcription factor, by adenovirus-mediated gene transfer. It failed, however, to show full recovery of expression of downstream chaperones including Sdf2l1 and consequently insulin resistance (Supplementary Fig. 8a–c), which urged us to restore the suppressed expression of Sdf2l1 (Fig. 6a, b). It did not affect body weight, but did suppress activation of PERK, and lowered ad libitum plasma glucose levels (Fig. 6c, d and Supplementary Fig. 8d). Glucose tolerance was improved, accompanied by partial recovery of early phase insulin secretion after glucose challenge, phosphorylation of Akt was enhanced after feeding, and hyperinsulinemic-euglycemic clamp studies showed improvement in systemic insulin resistance and hepatic glucose production (Fig. 6c, e, f). Triglyceride contents were decreased (Fig. 6g, h), accompanied by suppressed gene expression involved in fatty acid synthesis (Supplementary Fig. 8e).

Fig. 6
Fig. 6

Restoration of Sdf2l1 expression in an obesity and diabetes model. ah db/db mice were administered with Ad-Sdf2l1 intravenously (2.5 × 107 PFU/g BW), for restoration of the gene expression in the liver. ac ER stress and insulin signaling in the liver, analyzed by a RT-PCR (n = 3–5), b Western blotting of microsomal fractions (n = 3–5), and c Western blotting of total lysates (n = 3–4). df Effects of the restoration on glucose metabolism (n = 9–10), including d plasma glucose levels in an ad libitum-fed state, e plasma glucose levels in OGTT, as well as insulin levels, after oral administration of glucose (0.75 g/kg BW), following 24 h of fasting. f Results of hyperinsulinemic-euglycemic clamp studies (12.5 mU/min/kg, n = 6–7), after 3 h of fasting. g, h Effect of the restoration on lipid metabolism, analyzed with g triglyceride contents quantification (n = 8–10), and h Oil Red O staining. i, j Phenotypes of db/db mice co-administered with Ad-Sdf2l1 and Ad-BiP-HA, assessed with one-way ANOVA: i plasma glucose in an ad libitum-fed state (n = 4–6), and j the area under the curve (AUC) of plasma glucose in ITT, after intraperitoneal injection of human regular insulin (1.5 U/kg BW) (n = 6–8). Values of the data are expressed as mean ± SEM. *P < 0.05, **P < 0.01. ag Unpaired 2-tailed t-test was used, and i, j one-way ANOVA was used for assessment. Scale bars: 100 μm

In accordance with the findings in vitro (Fig. 2d, g), compared to single restoration of Sdf2l1, additional restoration of BiP, had the larger beneficial effects (Fig. 6i, j and Supplementary Fig. 8f–j), suggesting that Sdf2l1 could improve insulin sensitivity independently of BiP, at least in part.

Impaired ER stress responses in diseases in humans

Lastly, we assessed whether impaired ER stress responses could be associated with progression of human diseases by examining data from 64 male subjects with suspected nonalcoholic fatty liver disease (NAFLD) who underwent liver biopsy after oral glucose tolerance test (OGTT) early in the morning, partially mimicking the fed state (Table 1). We examined gene expression of sXBP1, SDF2L1, and HSPA5. We also evaluated the SDF2L1/sXBP1 ratio and the HSPA5/sXBP1 ratio, because the lower ratios could be attributed to attenuated nuclear localization of XBP-1s, possibly due to impaired insulin signaling, resulting in ER stress response failure (Fig. 7a).

Table 1 Background characteristics of the human subjects
Fig. 7
Fig. 7

ER stress responses in human subjects. Expression of ER stress marker genes and the ratios between them, in liver biopsy samples of human male subjects with suspected nonalcoholic fatty liver disease (NAFLD), analyzed by RT-PCR. a Schematic description of factors affecting expression of marker genes and ratios. b Correlation with glucose tolerance (n = 64). c Comparison between diabetic (n = 25) and matched nondiabetic subjects (n = 25). dh Correlation with progression of comorbid diseases in diabetic (n = 25) and matched nondiabetic subjects (n = 25), including df insulin resistance, and g, h staging of NASH. Data are shown in scatter dot plot with the median and interquartile range. *P < 0.05, **P < 0.01, T tertile. b, g, h Spearman’s rank correlation was used, and c, e, f the Mann–Whitney U test was used for assessment

It was first revealed that expression of SDF2L1 was negatively correlated with glycemic control (Fig. 7b), and we focused on the presence or absence of diabetes thereafter. Although it was natural that the diabetic subjects showed higher HbA1c and HOMA-R, they were older and showed advanced stage of NASH. Therefore, among the 39 nondiabetic subjects, we selected 25 as those matched with the 25 diabetic subjects based on age and histological findings, i.e., NAS and stage (Table 1). Expression of SDF2L1 was significantly down-regulated in those with diabetes (Fig. 7c), whereas expression of the other genes was not (Supplementary Fig. 9). Moreover, in insulin resistant subjects with diabetes, despite elevated expression of sXBP1, the SDF2L1/sXBP1 ratio and the HSPA5/sXBP1 ratio were significantly lower (Fig. 7d–f). Similarly, in those with diabetes, sXBP1 was positively, but the SDF2L1/sXBP1 ratio was negatively, correlated with stage of NASH (Fig. 7g, h). These data suggest that, similar to our findings in murine models, in patients with diabetes, impaired responses to ER stress, as well as enhanced ER stress, could be associated with the progression of insulin resistance and steatohepatitis.


ER stress has been thought to cause metabolic disorders when induced chronically in various tissues39. Here we show, however, that a physiological stimulus of feeding induces transient ER stress responses (just for a few hours) in the liver.

During feeding in mice, Sdf2l1 shows a marked induction in expression among ER stress-related genes. It is regulated by XBP-1s and nATF6, which are known to regulate chaperones, and Sdf2l1 appears to terminate ER stress, as chaperons do. Given that Sdf2l1 has an ER-retention-like motif, it is expected to traffic between the ER and the Golgi apparatus and cope with ER stress, even during feeding, although Sdf2l1 is not likely to be a component of COPII vesicles. Sdf2l1 exerts its effect mainly through the mechanism regulating ERAD of, probably, unfolded proteins in general, and we identify a counterpart, TMED10, a membrane protein involved in protein trafficking. Sdf2l1 is known to bind with BiP26,27,28, and indeed weak interaction between them was detected in the liver, but TMED10 seems the major counterpart of Sdf2l1, in terms of both interaction and function. Moreover, it is suggested that Sdf2l1 could be involved in shuttling of substrates for ERAD ubiquitinated mainly by Hrd1 to the proteasome outside the ER, just as Dnajb2, which works as a chaperone inside the ER and is also involved in the shuttling outside the ER37. In yeast, Pmt1/2p, the orthologs of Sdf2l1, are anchored in the ER membrane and interact with p24, the ortholog of TMED10. Sdf2l1 in mammals, however, lacks a transmembrane domain, and thus it is probable that it requires TMED10 as a counterpart serving as a platform in order to work near or even through the ER membrane.

We have found that in the liver, impaired induction of Sdf2l1 results in sustained ER stress, leading to insulin resistance and increased triglyceride contents, even with a normal-chow diet, indicating that dysregulation of ER stress by suppression of Sdf2l1 is a causal factor of metabolic disorders. Together with the previous reports showing that ablation of key molecules in ER stress responses links impaired glucose and lipid metabolism in mice fed on a high-fat diet11,17,40, our data strongly suggest that an appropriate transient response to ER stress is induced physiologically during feeding and terminated by Sdf2l1, and that this process may be important for the maintenance of nutrient homeostasis.

Importantly, the downstream molecules involved in ER stress responses fail to be fully induced or activated in obesity and diabetes, despite activation of the upstream ER stress sensors, reflecting enhanced ER stress. We call such a discrepancy, ER stress response failure. On the other hand, when the ER stress sensors are not fully activated for some reasons, the downstream ER stress responses are not sufficiently induced, even under enhanced ER stress41. This condition might be called ER stress sensing failure.

Our data reveal that a vicious cycle exists, with enhanced ER stress and ER stress response failure, in the liver of diabetes-associated insulin resistance and NAFLD/NASH in mice and humans. In the ‘two-hit theory’, ER stress is thought to be one of the second hits in the progression of NASH, and our data suggest that this appears to be the results of ER stress response failure. Insulin resistance in the first hit can cause dysfunction of XBP-1s, presumably due to delayed insulin-mediated translocation to the nucleus20,38, resulting in the suppression of the termination signal for ER stress such as induction of SDF2L1, leading to sustained ER stress that can function as a second hit. Indeed, in a diabetic condition, where insulin resistance fails to be compensated and thus insulin action is insufficient, there is a discrepancy between the induction of XBP-1s paralleled with ER stress and chaperon production, including SDF2L1, reflected by both ER stress and insulin action. Therefore, the lower SDF2L1/sXBP1 ratio could be a much better biomarker than other ER stress-related genes, such as sXBP1 alone, to reflect not only ER stress but also ER stress response failure that leads to progression of diabetes-associated diseases in the liver. It should be investigated in future works whether such ER stress response failure, observed in male mice and male subjects, could contribute to the development of NASH in female subjects as well, which is largely affected by menopause.

These data suggest that dys-regulation of Sdf2l1 is a missing link between insulin resistance and NAFLD/NASH, and can serve as a therapeutic target for diabetes and NAFLD/NASH. Indeed, it is known that insulin sensitizers can ameliorate hyperglycemia, as well as NASH42, although insulin signaling promotes anabolism of lipids. Based on our data, this may be partly through efficient induction of Sdf2l1 and BiP by XBP-1s, while over-expression of XBP-1s alone is not enough, because the translocation to the nucleus remains impaired without improving insulin resistance. It remains to be clarified whether the beneficial effects of Sdf2l1 restoration could be sustained for a longer period, for weeks or months. Besides, to develop more effective drugs for these diseases by shutting down the vicious cycle, it may be useful to identify the effectors downstream of Sdf2l1 to regulate ERAD, besides the strategy to promote the translocation of XBP-1s to the nucleus to up-regulate Sdf2l120,38.

In this context, lipid species might be also important. For example, ceramides are accumulated by ER stress, which in turn induces insulin resistance39,43. It is also likely that lipid species derived from feeding could affect those constituting the ER membrane, which in turn could affect functions of the ER in the liver, namely lipogenesis and protein synthesis. Thus, it remains to be investigated how lipid species in the liver, especially those isolated in microsomal fractions, are affected in response to feeding or chemically induced ER stress, and how such responses are disturbed by dys-regulation of Sdf2l1 or obesity-induced diabetes.

Overall, feeding induces physiological and transient ER stress in the liver, and induced Sdf2l1 appropriately terminates ER stress, in cooperation with TMED10, and contributes to normal glucose and lipid metabolism. In obesity and diabetes, impaired ER stress termination signals, including the down-regulation of Sdf2l1 that is caused by decreased insulin signaling, sustains ER stress and exacerbates insulin resistance, creating a vicious cycle (Supplementary Fig. 10). Thus, Sdf2l1 is expected to be a therapeutic target and a sensitive biomarker in obesity-associated diseases.


Generation of the mutant mice

Sdf2l1-floxed mice (Accession No. CDB0801K [http://www2.clst.riken.jp/arg/mutant%20mice%20list.html]) were generated as described elsewhere (http://www2.clst.riken.jp/arg/Methods.html). To generate the targeting vector, a genomic fragment of the Sdf2l1 locus was obtained from the RP23-153F8 BAC clone (BACPAC Resources), and a 472 bp-region containing exon 2 of the Sdf2l1 gene was flanked by loxP sites (Supplementary Fig. 4a). Targeted ES clones were microinjected into ICR 8-cell stage embryos, and injected embryos were transferred into pseudopregnant ICR females. The resulting chimeras were bred with C57BL/6 J mice, and then with ACTB-FLPe mice (Stock Number 005703; Jackson Laboratory) to eliminate the neomycin resistance (Neo) gene flanked by FRT sites. Experiments were performed using Sdf2l1-floxed (ΔNeo) homozygous mice, after Neo elimination and backcrossing with C57BL/6 J mice 4 times. Southern blot analysis was performed by separation of genomic DNA by electrophoresis on a 0.6% agarose gel, followed by transfer onto Hybond-XL membranes (GE Healthcare) before hybridization with the 32P-random-prime-labeled probe44. The 758bp-5′ external probe amplified with genomic murine DNA as the template with the primers described later (Supplementary Fig. 4a). Genotyping PCR was performed using ExTaq (TaKaRa) and the primers described later (Supplementary Fig. 4b). Uncropped images are shown in Supplementary Fig. 11.


C57BL/6 J mice and B6.Cg-Lepob/J (ob/ob) mice were purchased from Oriental Yeast, and BKS.Cg- + Leprdb/ + Leprdb/Jcl (db/db) mice from CLEA Japan, and 8-week-old to 10-week-old male mice were subjected to experiments. All mice were housed under a 12-h light/12-h dark cycle and had free access to sterile water and the following pellet food: Oriental MF diet (Oriental Yeast), consisting of 23.6% (v/v) protein, 5.3% fat, 54.4% nitrogen free extract, 6.1% ash, 2.9% fiber, and 7.7% water. In fasting and refeeding experiments, mice were fed with pellet food for 6 h, unless otherwise indicated, after 24-h fasting in individual cages6,8,18. Experiments in an ad libitum-fed state were performed immediately after the beginning of the light cycle. In nutrient deprivation experiments, mice were fed with mixed chow, consisting of casein, corn oil, and corn starch (Oriental Yeast) at the ratio of 23.6:5.3:54.4; protein-free chow consisting of corn oil and corn starch at the ratio of 5.3:54.4; or lipid-free chow consisting of casein and corn starch at the ratio of 23.6:54.4. To generate a diet-induced obesity model, we fed mice with High Fat Diet 32 (CLEA Japan), consisting of 25.5% protein, 32.0% fat, 29.4% nitrogen free extract, 4.0% ash, 2.9% fiber, and 6.2% water. In fasting and refeeding experiments using this model, mice, including those on normal chow, were fed with high-fat diet. Body weight and blood glucose levels were matched among groups in experiments allocating mice to different interventions. The animal care and experimental procedures were approved by the Animal Care Committee of Graduate School of Medicine, the University of Tokyo. All relevant ethical guidelines were followed.

Metabolic studies

For insulin tolerance tests (ITTs) or pyruvate tolerance tests (PTTs), mice received intraperitoneal administration of human insulin (Humalin R; Eli Lilly) in an ad libitum-fed state, or pyruvate sodium after an overnight fast, respectively. For OGTTs, mice received oral administration of glucose after an overnight fast. Blood glucose levels were measured using a Glutest sensor (Sanwa Chemical) at the indicated time points, the plasma insulin levels were measured using an ELISA kit (Morinaga), and the plasma free fatty acid levels were measured using a quantification kit (WAKO). In hyperinsulinemic-euglycemic clamp studies, human insulin was continuously infused, and the blood glucose concentration was maintained at approximately 120 mg/dL by infusing glucose, containing [6,6-2H2]glucose (Sigma). At the end of the clamp studies, a bolus of 2-deox y-[3 H]glucose (2-[3 H]DG) was administered for estimation of glucose uptake45. The investigators were blinded to the genotype of mice or intervention to which mice were subjected when assessing metabolic phenotypes.

Cell culture

HEK293 cells (ECACC 85120602) were cultured in DMEM (Sigma) supplemented with 10% FBS (Biowest), Fao cells (ECACC 89042701) in RPMI 1640 (GIBCO) supplemented with 10% FBS, and NIN/3T3 cells (ECACC 93061524) in DMEM supplemented with 10% calf serum (Biowest). Embryonic fibroblasts were isolated from 13.5-dpc homozygous embryos by treatment with trypsin (GIBCO), and resuspended and cultured in DMEM supplemented with 10% FBS, 1 mM sodium pyruvate (GIBCO), and MEM Non-Essential Amino Acids Solution (GIBCO)46. To isolate primary hepatocytes, the liver was perfused by cannulation in the portal vein with HBSS containing collagenase (Nitta Gelatin) and dispase (WAKO), and the isolated cells were resuspended and cultured in WME (GIBCO) supplemented with 10% FBS, 100 nM dexamethasone, and 1 nM human insulin47.

Chemical treatment

Tunicamycin, thapsigargin (both from Sigma), and MG-132 (Merck Millipore) were diluted in dimethyl sulfoxide (DMSO) and added to the medium of cultured cells, at the concentration of 1 μg/mL, 1 μM, and 10 μM, respectively. Streptozotocin (Sigma) was diluted in citrate sodium buffer, and administered intraperitoneally at the dose of 150 mg/kg of body weight (BW) twice with an interval of 4 days. Mice were used for experiments 2 weeks after the treatments.

Microarray analysis

The data set was obtained from the GEO (https://www.ncbi.nlm.nih.gov/geo/) and analyzed using GEO2R on line.

Gene expression analysis

RNeasy Mini Kit (QIAGEN) was used to prepare total RNA from mouse tissues and cultured cells, and ReliaPrep RNA Tissue Miniprep System (Promega) from human samples. Reverse-transcription reaction was carried out with a High Capacity cDNA Reverse Transcription Kit (Applied Biosystems), after treatment with DNAse (Promega). Quantitative PCR analyses were performed using ABI Prism 7900, with TaqMan Gene Expression Master Mix or Power SYBR Green PCR Master Mix (Applied Biosystems). The relative expression levels were normalized by the expression level of Ppia (encoding Cyclophilin A) in samples of mouse tissues and cultured cells, control IgG and control upstream region in ChIP assays, and GAPDH in human samples, respectively. TaqMan Assays were purchased from Applied Biosystems: Hspa5 (BiP), Mm00517691_m1; Ddit3 (CHOP), Mm00492097_m1; Sdf2l1, Mm00452079_m1; Ero1lb, Mm00470754_m1; Pdia3, Mm00433130_m1; Sdf2, Mm00485985_m1; Pparg, Mm00440945_m1; Pten, Mm00477208_m1; Sod1, Mm01344233_g1; Sod2, Mm01313000_m1; Tnf, Mm99999068_m1; Ppara: Mm00627559_m1; Fasn, Mm00662319_m1; Acacb, Mm01204671_m1; Pck1: Mm00440636_m1.


Primers were designed in Primer3 (http://bioinfo.ut.ee/primer3-0.4.0/), unless otherwise described, and synthesized by Invitorgen, whereas TaqMan Probes were synthesized by Applied Biosystems (see Table 2).


Anti-GRP78/BiP (H-129, 1:250 for immunoblotting), anti-PERK (B-5, for immunoprecipitation), anti-XBP-1 (M-186, 1:250), anti-ubiquitin (P4D1, 1:200), anti-Hrd1 (A-21, 1:200), and anti-IRβ (C-19, 1:1000) antibodies were purchased from Santa Cruz; anti-ATF6 (70B1413.1, 1:500) from IMGENEX; anti-HA (12CA5, 1:10000) from Roch; anti-calnexin (PM060, 1:1000) from MBL; anti-insulin/proinsulin (ab8304, for immunoprecipitation), and anti-βCOP (ab2899, 1:1000) from Abcam; anti-FLAG (M2, 1:2500) from Sigma; anti-tubulinα (RB-9281, 1:1000) from Thermo Scientific; anti-pY (4G10, 1:1000), anti-IRS-1 (32682, 1:1000), and anti-p85 (27891, 1:4000) from Upstate; and the others, anti-p-PERK (3719, 1:1000), anti-PERK (3192, 1:1000 for immunoblotting), anti-p-eIF2α (3597, 1:1000), anti-eIF2α (9722, 1:500), anti-LaminA/C (2032, 1:1000), anti-p-S6K (9204, 1:1000), anti-p-4E-BP-1 (9459, 1:800), anti-p-Akt (9271, 1:1000), anti-Akt (9272, 1:1000), anti-p-FoxO1 (9461, 1:1000), anti-FoxO1 (9454, 1:1000), anti-p-mTOR (2971, 1:1000), anti-mTOR (2972, 1:2000), and anti-GAPDH (2118, 1:5000) antibodies were from Cell Signaling. Anti-Sdf2l1 antibody (1:750) was generated by Immuno-Biological Laboratories, by immunizing rabbits with recombinant murine Sdf2l1, as described later. Anti-p-IRE1α antibody (1:1000) and anti-IRE1α antibody (1:1000) were kind gifts from Dr. Fumihiko Urano (Washington University in St. Louis). Anti-TMED10 antibody (1:1000)54 was a kind gift from Prof. Masahiro Hosaka (Akita Prefectural University) and Prof. Tetsuro Izumi (Gunma University). Anti-RNAP I antibody (1:10000) was used for detection of Δpro31. Secondary antibodies were purchased from Santa Cruz, except that against immunoprecipitated samples, which was from Abcam.

Table 2 Primers

Western blot analysis

To prepare the nuclear fraction, tissues after quick excision were homogenized in 2 M sucrose buffer, containing 10 mM HEPES at pH 7.9, 25 mM KCl, 1 mM EDTA, 10% glycerol, 0.15 mM spermine, 2 mM spermidine, and COMPLETE (Roche), followed by ultracentrifugation using Optima LE-80K Ultracentrifuge (Beckman Coulter) and the SW28 rotor (100,000 × g for 1 h)55. To prepare the microsomal fraction, fresh tissues were homogenized in 0.25 M sucrose buffer, containing 10 mM Tris-HCl at pH 7.4 and 1 mM EDTA, followed by centrifugation at 900 × g for 10 min, and the supernatant was subjected to ultracentrifugation using the SW28 rotor (100,000 × g for 1 h)56. The pellets were resuspended in the liver buffer (25 mM Tris-HCl at pH 7.4, 10 mM sodium orthovanadate, 10 mM sodium pyrophosphate, 100 mM sodium fluoride, 10 mM EDTA, 10 mM EGTA, and COMPLETE). To prepare total lysates, frozen tissues were homogenized in the liver buffer and subjected to ultracentrifugation using the 70.1Ti rotor (280,000 × g for 1 h)6. The samples were resolved on SDS-PAGE and transferred to Hybond-P membranes (GE Healthcare)6. The membranes were incubated with primary antibodies, after blocking with bovine serum albumin (Sigma) resolved in Tris Buffered Saline (TBS) with Tween 20 (anti-pY, anti-p-S6K, anti-p-4E-BP-1, and anti-p-mTOR antibodies), blocking solution for DIG (Roche) diluted in TBS with Tween 20 (WAKO) (anti-Ub, anti-calnexin, anti-p-PERK, anti-p-Foxo1, and anti-TMED10 antibodies), blocking solution for DIG diluted in TBS with Triton X-100 (WAKO) (anti-XBP-1 and anti-ATF6 antibodies), skim milk (Megmilk Snow Brand) resolved in TBS with Tween 20 (anti-HA and anti-RNAP I antibodies), or skim milk (WAKO) resolved in TBS with Triton X-100 (the other antibodies). Phosphorylation of PERK in the liver was detected carefully with the samples subjected to overnight electrophoresis and the membranes washed carefully, following a previous report57. Bound primary antibodies were detected with HRP-conjugated secondary antibodies, using ECL detection reagents (GE Healthcare). Uncropped images are shown in Supplementary Fig. 11.


Sdf2l1 and Hspa5 cDNA were amplified by PCR with murine liver cDNA as the template, and inserted into pcDNA3.1 (Invitrogen). For restoration of Pmt2-Sdf2l1 fusion protein in yeast, Sdf2l1 cDNA was inserted into pGPD416-Pmt2-HA, using a GeneArt Seamless Cloning and Assembly Kit (Life Technologies) (Supplementary Fig. 3i). The 211 amino acids of Pmt2, from R340 through to K550, included in the loop 5, which is the active center of O-mannosyltransferase58, was substituted for the 188 amino acids of Sdf2l1, from S29 through to T216. We used BAC Subcloning Kit (Gene Bridges) for cloning of the promoter region of Sdf2l1 from MSM Mouse BAC clone MSMg01-540H18, which was provided by the DNA Bank, RIKEN BioResource Center with the support of The National Bio-Resources Project of the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT)59. It was inserted into pGL3-Basic (Promega), followed by generation of deletion mutants, using KOD-Plus-Mutagenesis Kit (TOYOBO). Cells were transfected with plasmids using TranIT-LT (Mirus).

Recombinant protein

Sdf2l1 cDNA, lacking signal peptide and HDEL sequence, was inserted into pQE-60 (Qiagen). His-tagged recombinant Sdf2l1 expressed in BL21(DE) (Novagen) was purified with a ProBand Purification System (Invitorgen), after denaturation with imidazole.

RNA interference

siRNAs were purchased from Ambion (Silencer Pre-designed siRNA; rat Xbp1: s144588, rat Atf6: s156439, mouse Sdf2l1: 182267, mouse Tmed10: s123749, mouse Syvn1: s92311), except siRNA targeting mouse Hspa5, which was from Invitrogen (Stealth RNAi, Hspa5MSS204938), and transfected in cultured cells using Lipofectamine RNAiMax Reagent (Life Technologies), according to the manufacturer’s instructions. Dr. Makoto Miyagishi (National Center for Global Health and Medicine) kindly designed the shRNA for Sdf2l1 whose sequence was GGGTTACGGTGAACTTTGA (mutation underlined), with the loop sequence of GTGTGCTGTCC60, which was inserted into pENTR4-PUR-hU6beta-icas-normal, a kind gift from Dr. Sahohime Matsumoto (The University of Tokyo).


All the adenoviruses were generated using AdEasy Adenoviral Vector System (Agilent Technologies), except Ad-CAG-Sdf2l1, which was generated using Adenovirus Dual Expression Kit (TaKaRa). In experiments in vitro, cultured cells were incubated with crude adenoviruses diluted with Opti-MEM I (GIBCO). In experiments in vivo, adenoviruses were purified by CsCl gradient centrifugation using the SW28 rotor (113,000 ×g for 2 h) and the SW41 rotor (210,000 ×g for 3 h), followed by dialysis against 10% glycerol in PBS. The purified adenovirus was administered intravenously, and the mice were analyzed 7–10 days after the administration, unless otherwise indicated.

Yeast culture

Yeast cells of the KNY51 (der1Δ, pmt2Δ, GAL1-Δpro) strain were grown in YP-rich medium (YPD + 5xAde: 1% yeast extract, 1% polypeptone, 100 mg/L of adenine hydrochloride, and 2% glucose or 2% galactose) or synthetic complete medium (0.67% yeast nitrogen base without amino acids, 100 mg/L of adenine hydrochloride, all standard amino acids [drop out mix], and 2% glucose or 2% galactose). After transformation with Pmt2-expressing plasmids and induction of Δpro expression by galactose overnight, total cell lysates were extracted for Western blotting31.

Promoter assay and in vivo imaging

Promoter assays in vitro were performed using a Dual-Luciferase Reporter Assay System (Promega) and Lumat LB 9507 (EG&G Berthold), according to the manufacturers’ instructions. In vivo imaging was performed using IVIS Lumina LT (Perkin Elmer), after intraperitoneal administration of D-Luciferin Sodium (WAKO) at the dose of 150 mg/kg BW, and promoter activity was quantified by total counts divided by exposure time.

ChIP assay

Tissue homogenates were crosslinked with formaldehyde, sonicated for fragmentation of chromatin, and incubated with Dynabeads Protein A (Dynal Biotech), as well as antibodies. DNA was eluted, purified using the MinElute PCR purification kit (Qiagen), and subjected to RT-PCR61.

Histological analysis of murine tissues

Murine tissues were fixed with 4% paraformaldehyde, immersed in sucrose solution for cryoprotection, and embedded in optimal cutting temperature (OCT) compound (Sakura Finetek Japan). The frozen sections (6 mm) were stained by the standard Oil Red O staining procedure.

Hepatic triglyceride content

Hepatic triglyceride was extracted from the liver homogenate with Folch solution (chloroform and methanol in a 2:1 ratio), resuspended in ethanol containing Triton X-100, and measured using a quantification kit (WAKO)62.

Mass spectrometry

Samples were processed robotically using a RelyOn ProGest instrument. Gel bands were reduced with dithiothreitol, alkylated with iodoacetamide and digested with trypsin. Peptide solutions were subjected for 1-h LC/MS/MS with a Waters NanoAcquity HPLC system interfaced to a ThermoFisher Q Exactive.

Human subjects

From November 2011 to March 2014, at the University of Tokyo Hospital, we prospectively recruited patients with clinically suspected NAFLD, and 301 patients consented to liver biopsy, all of whom gave informed written consent. On the day of admission, comorbid illness and drug intake were recorded, and body height, as well as body weight were measured. Percutaneous liver biopsy was performed using a 16 G needle with a biopsy specimen notch of 20 mm, 5 h after a 75 g oral glucose tolerance test, following an overnight fasting. Blood samples before the tolerance test were subjected to laboratory tests, including AST, ALT, and hemoglobin A1c (HbA1c), as well as fasting blood glucose and fasting immunoreactive insulin63. Liver histologic specimens were examined by pathologists blinded to the clinical data and the design of this study, and assessed according to Matteoni’s classification64. After excluding patients in whom NAFLD was not diagnosed, specimens were scored in the remaining patients, according to the Nonalcoholic Steatohepatitis Clinical Research Network criteria65. In subjects who agreed to gene expression analysis with informed written consent among the 301 patients, 3 mm of the liver biopsy samples per subject were spared to measure gene expression if the total length of liver biopsy samples was longer than 18 mm. In this study on ER stress responses, we excluded women and those with poor glycemic control (HbA1c over 8%). This study was approved by the University of Tokyo Medical Research Center Ethics Committee. All relevant ethical guidelines were followed.


Values of the data are expressed as mean ± SEM, and statistical significance is displayed as P < 0.05 (one asterisk), P < 0.01 (two asterisks), or P < 0.001 (three asterisks, if necessary) in figures. In the analysis of mice and cultured cells, differences between 2 groups were assessed using unpaired 2-tailed t-test, unless otherwise indicated. Those among 3 or more groups were assessed using one-way ANOVA (ANalysis Of VAriance) with post-hoc Tukey’s Honest Significant Difference (HSD) in EZ-R66. In the analysis of human subjects, differences between 2 groups were assessed using Mann–Whitney’s U test. Correlation of metabolic parameters or liver histology score with gene expression was examined using Spearman’s rank correlation method in EZ-R. Matched control pairs were selected using the optmatch package in EZ-R.

Data availability

The authors declare that all data supporting the findings of this study are available within the manuscript and its Supplementary Information files or are available from the authors upon reasonable request. A reporting summary for this study is available as a supplementary information file.

Additional information

Journal peer review information Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work. Peer reviewer reports are available.

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


  1. 1.

    Gribble, F. M. Metabolism: a higher power for insulin. Nature 434, 965–966 (2005).

  2. 2.

    Cross, D. A., Alessi, D. R., Cohen, P., Andjelkovich, M. & Hemmings, B. A. Inhibition of glycogen synthase kinase-3 by insulin mediated by protein kinase B. Nature 378, 785–789 (1995).

  3. 3.

    Ueki, K. et al. Potential role of protein kinase B in insulin-induced glucose transport, glycogen synthesis, and protein synthesis. J. Biol. Chem. 273, 5315–5322 (1998).

  4. 4.

    Brunet, A. et al. Akt promotes cell survival by phosphorylating and inhibiting a Forkhead transcription factor. Cell 96, 857–868 (1999).

  5. 5.

    Taniguchi, C. M., Emanuelli, B. & Kahn, C. R. Critical nodes in signalling pathways: insights into insulin action. Nat. Rev. Mol. Cell Biol. 7, 85–96 (2006).

  6. 6.

    Kubota, N. et al. Dynamic functional relay between insulin receptor substrate 1 and 2 in hepatic insulin signaling during fasting and feeding. Cell. Metab. 8, 49–64 (2008).

  7. 7.

    Michael, M. D. et al. Loss of insulin signaling in hepatocytes leads to severe insulin resistance and progressive hepatic dysfunction. Mol. Cell 6, 87–97 (2000).

  8. 8.

    Shimomura, I. et al. Decreased IRS-2 and increased SREBP-1c lead to mixed insulin resistance and sensitivity in livers of lipodystrophic and ob/ob mice. Mol. Cell 6, 77–86 (2000).

  9. 9.

    Horton, J. D., Goldstein, J. L. & Brown, M. S. SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver. J. Clin. Invest. 109, 1125–1131 (2002).

  10. 10.

    Ji, C. & Kaplowitz, N. ER stress: can the liver cope? J. Hepatol. 45, 321–333 (2006).

  11. 11.

    Ozcan, U. et al. Endoplasmic reticulum stress links obesity, insulin action, and type 2 diabetes. Science 306, 457–461 (2004).

  12. 12.

    Nakatani, Y. et al. Involvement of endoplasmic reticulum stress in insulin resistance and diabetes. J. Biol. Chem. 280, 847–851 (2005).

  13. 13.

    Ozcan, U. et al. Chemical chaperones reduce ER stress and restore glucose homeostasis in a mouse model of type 2 diabetes. Science 313, 1137–1140 (2006).

  14. 14.

    Oyadomari, S., Harding, H. P., Zhang, Y., Oyadomari, M. & Ron, D. Dephosphorylation of translation initiation factor 2alpha enhances glucose tolerance and attenuates hepatosteatosis in mice. Cell. Metab. 7, 520–532 (2008).

  15. 15.

    Lee, A. H., Scapa, E. F., Cohen, D. E. & Glimcher, L. H. Regulation of hepatic lipogenesis by the transcription factor XBP1. Science 320, 1492–1496 (2008).

  16. 16.

    Kammoun, H. L. et al. GRP78 expression inhibits insulin and ER stress-induced SREBP-1c activation and reduces hepatic steatosis in mice. J. Clin. Invest. 119, 1201–1215 (2009).

  17. 17.

    Jurczak, M. J. et al. Dissociation of inositol-requiring enzyme (IRE1alpha)-mediated c-Jun N-terminal kinase activation from hepatic insulin resistance in conditional X-box-binding protein-1 (XBP1) knock-out mice. J. Biol. Chem. 287, 2558–2567 (2012).

  18. 18.

    Deng, Y. et al. The Xbp1s/GalE axis links ER stress to postprandial hepatic metabolism. J. Clin. Invest. 123, 455–468 (2013).

  19. 19.

    Dentin, R., Hedrick, S., Xie, J., Yates, J. 3rd & Montminy, M. Hepatic glucose sensing via the CREB coactivator CRTC2. Science 319, 1402–1405 (2008).

  20. 20.

    Park, S. W. et al. The regulatory subunits of PI3K, p85alpha and p85beta, interact with XBP-1 and increase its nuclear translocation. Nat. Med. 16, 429–437 (2010).

  21. 21.

    Yang, L. et al. METABOLISM. S-Nitrosylation links obesity-associated inflammation to endoplasmic reticulum dysfunction. Science 349, 500–506 (2015).

  22. 22.

    Puri, P. et al. Activation and dysregulation of the unfolded protein response in nonalcoholic fatty liver disease. Gastroenterology 134, 568–576 (2008).

  23. 23.

    Kumashiro, N. et al. Cellular mechanism of insulin resistance in nonalcoholic fatty liver disease. Proc. Natl Acad. Sci. USA 108, 16381–16385 (2011).

  24. 24.

    Fukuda, S. et al. Murine and human SDF2L1 is an endoplasmic reticulum stress-inducible gene and encodes a new member of the Pmt/rt protein family. Biochem. Biophys. Res. Commun. 280, 407–414 (2001).

  25. 25.

    Munro, S. & Pelham, H. R. A C-terminal signal prevents secretion of luminal ER proteins. Cell 48, 899–907 (1987).

  26. 26.

    Meunier, L., Usherwood, Y. K., Chung, K. T. & Hendershot, L. M. A subset of chaperones and folding enzymes form multiprotein complexes in endoplasmic reticulum to bind nascent proteins. Mol. Biol. Cell. 13, 4456–4469 (2002).

  27. 27.

    Bies, C. et al. Characterization of pancreatic ERj3p, a homolog of yeast DnaJ-like protein Scj1p. Biol. Chem. 385, 389–395 (2004).

  28. 28.

    Tiwari, A. et al. SDF2L1 interacts with the ER-associated degradation machinery and retards the degradation of mutant proinsulin in pancreatic beta-cells. J. Cell Sci. 126, 1962–1968 (2013).

  29. 29.

    Fujimori, T. et al. Endoplasmic reticulum proteins SDF2 and SDF2L1 act as components of the BiP chaperone cycle to prevent protein aggregation. Genes. Cells 22, 684–698 (2017).

  30. 30.

    Yoshizawa, F. Translational regulation of protein synthesis in the liver and skeletal muscle of mice in response to refeeding. J. Nutr. Biochem. 6, 130–136 (1995).

  31. 31.

    Nakatsukasa, K. et al. Roles of O-mannosylation of aberrant proteins in reduction of the load for endoplasmic reticulum chaperones in yeast. J. Biol. Chem. 279, 49762–49772 (2004).

  32. 32.

    Goder, V. & Melero, A. Protein O-mannosyltransferases participate in ER protein quality control. J. Cell Sci. 124, 144–153 (2011).

  33. 33.

    Xu, C., Wang, S., Thibault, G. & Ng, D. T. Futile protein folding cycles in the ER are terminated by the unfolded protein O-mannosylation pathway. Science 340, 978–981 (2013).

  34. 34.

    Chiba, A. et al. Structures of sialylated O-linked oligosaccharides of bovine peripheral nerve alpha-dystroglycan. The role of a novel O-mannosyl-type oligosaccharide in the binding of alpha-dystroglycan with laminin. J. Biol. Chem. 272, 2156–2162 (1997).

  35. 35.

    Allen, J. R. et al. High ER stress in beta-cells stimulates intracellular degradation of misfolded insulin. Biochem. Biophys. Res. Commun. 324, 166–170 (2004).

  36. 36.

    Fujita, M. et al. Sorting of GPI-anchored proteins into ER exit sites by p24 proteins is dependent on remodeled GPI. J. Cell Biol. 194, 61–75 (2011).

  37. 37.

    Christianson, J. C. & Ye, Y. Cleaning up in the endoplasmic reticulum: ubiquitin in charge. Nat. Struct. Mol. Biol. 21, 325–335 (2014).

  38. 38.

    Winnay, J. N., Boucher, J., Mori, M. A., Ueki, K. & Kahn, C. R. A regulatory subunit of phosphoinositide 3-kinase increases the nuclear accumulation of X-box-binding protein-1 to modulate the unfolded protein response. Nat. Med. 16, 438–445 (2010).

  39. 39.

    Cnop, M., Foufelle, F. & Velloso, L. A. Endoplasmic reticulum stress, obesity and diabetes. Trends Mol. Med. 18, 59–68 (2012).

  40. 40.

    Ye, R. et al. Grp78 heterozygosity promotes adaptive unfolded protein response and attenuates diet-induced obesity and insulin resistance. Diabetes 59, 6–16 (2010).

  41. 41.

    Lin, J. H. et al. IRE1 signaling affects cell fate during the unfolded protein response. Science 318, 944–949 (2007).

  42. 42.

    Ratziu, V., Goodman, Z. & Sanyal, A. Current efforts and trends in the treatment of NASH. J. Hepatol. 62, S65–S75 (2015).

  43. 43.

    Summers, S. A. Ceramides in insulin resistance and lipotoxicity. Prog. Lipid Res. 45, 42–72 (2006).

  44. 44.

    Kumagai, K. et al. Generation of transgenic mice on an NOD/SCID background using the conventional microinjection technique. Biol. Reprod. 84, 682–688 (2011).

  45. 45.

    Kubota, T. et al. Impaired insulin signaling in endothelial cells reduces insulin-induced glucose uptake by skeletal muscle. Cell. Metab. 13, 294–307 (2011).

  46. 46.

    Kubota, N. et al. PPAR gamma mediates high-fat diet-induced adipocyte hypertrophy and insulin resistance. Mol. Cell 4, 597–609 (1999).

  47. 47.

    Ueki, K. et al. Restored insulin-sensitivity in IRS-1-deficient mice treated by adenovirus-mediated gene therapy. J. Clin. Invest. 105, 1437–1445 (2000).

  48. 48.

    Awazawa, M. et al. Adiponectin suppresses hepatic SREBP1c expression in an AdipoR1/LKB1/AMPK dependent pathway. Biochem. Biophys. Res. Commun. 382, 51–56 (2009).

  49. 49.

    Lipson, K. L. et al. Regulation of insulin biosynthesis in pancreatic beta cells by an endoplasmic reticulum-resident protein kinase IRE1. Cell. Metab. 4, 245–254 (2006).

  50. 50.

    Lommel, M., Willer, T. & Strahl, S. POMT2, a key enzyme in Walker-Warburg syndrome: somatic sPOMT2, but not testis-specific tPOMT2, is crucial for mannosyltransferase activity in vivo. Glycobiology 18, 615–625 (2008).

  51. 51.

    Yang, J. et al. Decreased lipid synthesis in livers of mice with disrupted Site-1 protease gene. Proc. Natl Acad. Sci. USA 98, 13607–13612 (2001).

  52. 52.

    Thomas, K. C. et al. Transient receptor potential vanilloid 1 agonists cause endoplasmic reticulum stress and cell death in human lung cells. J. Pharmacol. Exp. Ther. 321, 830–838 (2007).

  53. 53.

    Kang, H., Escudero-Esparza, A., Douglas-Jones, A., Mansel, R. E. & Jiang, W. G. Transcript analyses of stromal cell derived factors (SDFs): SDF-2, SDF-4 and SDF-5 reveal a different pattern of expression and prognostic association in human breast cancer. Int. J. Oncol. 35, 205–211 (2009).

  54. 54.

    Hosaka, M. et al. A subset of p23 localized on secretory granules in pancreatic beta-cells. J. Histochem. Cytochem. 55, 235–245 (2007).

  55. 55.

    Sekiya, M. et al. SREBP-1-independent regulation of lipogenic gene expression in adipocytes. J. Lipid Res. 48, 1581–1591 (2007).

  56. 56.

    Manya, H., Chiba, A., Margolis, R. U. & Endo, T. Molecular cloning and characterization of rat Pomt1 and Pomt2. Glycobiology 16, 863–873 (2006).

  57. 57.

    Ozcan, L. et al. Endoplasmic reticulum stress plays a central role in development of leptin resistance. Cell. Metab. 9, 35–51 (2009).

  58. 58.

    Girrbach, V. & Strahl, S. Members of the evolutionarily conserved PMT family of protein O-mannosyltransferases form distinct protein complexes among themselves. J. Biol. Chem. 278, 12554–12562 (2003).

  59. 59.

    Abe, K. et al. Contribution of Asian mouse subspecies Mus musculus molossinus to genomic constitution of strain C57BL/6J, as defined by BAC-end sequence-SNP analysis. Genome Res. 14, 2439–2447 (2004).

  60. 60.

    Miyagishi, M., Matsumoto, S. & Taira, K. Generation of an shRNAi expression library against the whole human transcripts. Virus Res. 102, 117–124 (2004).

  61. 61.

    Yamashita, S. et al. L-Sox5 and Sox6 proteins enhance chondrogenic miR-140 microRNA expression by strengthening dimeric Sox9 activity. J. Biol. Chem. 287, 22206–22215 (2012).

  62. 62.

    Kobayashi, N. et al. Blockade of class IB phosphoinositide-3 kinase ameliorates obesity-induced inflammation and insulin resistance. Proc. Natl Acad. Sci. USA 108, 5753–5758 (2011).

  63. 63.

    Enooku, K. et al. Hepatic IRS1 and ss-catenin expression is associated with histological progression and overt diabetes emergence in NAFLD patients. J. Gastroenterol. 53, 1261–1275 (2018).

  64. 64.

    Matteoni, C. A. et al. Nonalcoholic fatty liver disease: a spectrum of clinical and pathological severity. Gastroenterology 116, 1413–1419 (1999).

  65. 65.

    Kleiner, D. E. et al. Design and validation of a histological scoring system for nonalcoholic fatty liver disease. Hepatology 41, 1313–1321 (2005).

  66. 66.

    Kanda, Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplant. 48, 452–458 (2013).

Download references


We thank Norie Ohtsuka-Kowatari, Kayo Maruyama-Nishitani, Ritsuko Hoshino, Kuniko Kurihara, Fumiya Takahashi, Yuko Kanto, Yasuko Sakuma, Reiko Homma, Yuko Masaki, Asako Yoshida, Yoshiko Ito, Mizuki Chosa, Chika Goto, Yasuko Ota, Tomoyuki Ogiwara, Hiroshi Chiyonobu, Katsuyoshi Kumagai, Naoki Ishikawa, Kayo Aoyama, Tokiko Hirabayashi, Ayumi Ohuchi, Yuka Kobayashi, Rie Onoue, and Yumiko Kishida for their excellent technical assistance and assistance with the animal care. We thank Prof. Toshiya Endo (Kyoto Sangyo University) and Prof. Shuh-ichi Nishikawa (Niigata University) for giving us advice on O-mannosylation of proteins in yeast; Dr. Kyohei Umebayashi (The University of Geneva), Dr. Ryoichi Fukuda (The University of Tokyo), and Dr. Toshiaki Izawa (Kyushu University) for providing us the assay system of O-mannosylated Δpro; Prof. Tamao Endo and Dr. Hiroshi Manya (Tokyo Metropolitan Institution of Gerontology) for giving us advice on O-mannosylation of proteins in mammals and microsomal fractionation of tissues; and Drs. Naoya Yahagi and Yoshinori Takeuchi (The University of Tsukuba) for giving us advice on nuclear fractionation of tissues. This work was supported by a grant for Translational Systems Biology and Medicine Initiative (TSBMI), Creation of Innovation Centers for Advanced Interdisciplinary Research Areas Program of the MEXT; Health and Labour Sciences Research Grants (H20-Kanen-Ippan-008, H24-Kanen-Ippan-006, both to K. U.) by the Ministry of Health, Labour and Welfare of Japan; a grant for the Research Program on Hepatitis from Japan Agency for Medical Research and Development (JP17fk0210304, JP18fk0210040, both to K. U.); a Grant-in-Aid for Challenging Exploratory Research (21659227, to K. U.), Grants-in-aid for Young Scientists (B) (22790851, 24790913, both to T. S.), and a Grant-in-Aid for Scientific Research (C) (26461358, to T. S.) by the MEXT; grants for Front Runner of Future Diabetes Research by the Japan Foundation for Applied Enzymology (to T. S.); and grants and endowments from Daiichi Sankyo Co, Ltd.

Author information


  1. Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan

    • Takayoshi Sasako
    • , Mitsuru Ohsugi
    • , Naoto Kubota
    • , Shinsuke Itoh
    • , Yukiko Okazaki
    • , Ai Terai
    • , Tetsuya Kubota
    • , Takashi Kadowaki
    •  & Kohjiro Ueki
  2. Translational Systems Biology and Medicine Initiative (TSBMI), The University of Tokyo, Tokyo, 113-8655, Japan

    • Takayoshi Sasako
    • , Naoto Kubota
    • , Takashi Kadowaki
    •  & Kohjiro Ueki
  3. Department of Molecular Diabetic Medicine, Diabetes Research Center, National Center for Global Health and Medicine, Tokyo, 162-8655, Japan

    • Takayoshi Sasako
    • , Yukiko Okazaki
    • , Ai Terai
    •  & Kohjiro Ueki
  4. Division for Health Service Promotion, The University of Tokyo, Tokyo, 113-0033, Japan

    • Takayoshi Sasako
  5. Department of Molecular Sciences on Diabetes, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan

    • Takayoshi Sasako
  6. Department of Clinical Nutrition Therapy, The University of Tokyo Hospital, The University of Tokyo, Tokyo, 113-865, Japan

    • Naoto Kubota
  7. Kowa Company Limited, Nagoya, 460-0003, Japan

    • Shinsuke Itoh
  8. Clinical Nutrition Program, National Institute of Health and Nutrition, Tokyo, 162-8636, Japan

    • Tetsuya Kubota
  9. Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo, 143-8541, Japan

    • Tetsuya Kubota
  10. Department of Systems BioMedicine, Tokyo Medical and Dental University, Tokyo, 113-8510, Japan

    • Satoshi Yamashita
    •  & Hiroshi Asahara
  11. Division of Biological Sciences, Graduate School of Science, Nagoya University, Nagoya, 464-8601, Japan

    • Kunio Nakatsukasa
    •  & Takumi Kamura
  12. Graduate School of Natural Sciences, Nagoya City University, Nagoya, 464-8601, Japan

    • Kunio Nakatsukasa
  13. Graduate School of Comprehensive Human Science, University of Tsukuba, Tsukuba, 305-8577, Japan

    • Kaito Iwayama
    •  & Kumpei Tokuyama
  14. Animal Resource Development Unit, RIKEN Center for Life Science Technologies, Kobe, 650-0047, Japan

    • Hiroshi Kiyonari
    •  & Yasuhide Furuta
  15. Genetic Engineering Team, RIKEN Center for Life Science Technologies, Kobe, 650-0047, Japan

    • Hiroshi Kiyonari
    •  & Yasuhide Furuta
  16. Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan

    • Junji Shibahara
    •  & Masashi Fukayama
  17. Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan

    • Kenichiro Enooku
    • , Kazuya Okushin
    • , Ryosuke Tateishi
    •  & Kazuhiko Koike
  18. Department of Infectious Disease, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan

    • Takeya Tsutsumi
  19. The First Department of Internal Medicine, Graduate School of Medicine and Pharmaceutical Sciences of Research, The University of Toyama, Toyama, 930-8555, Japan

    • Kazuyuki Tobe
  20. Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan

    • Takashi Kadowaki
  21. Department of Metabolism and Nutrition, Mizonokuchi Hospital, Faculty of Medicine, Teikyo University, Tokyo, 213-8507, Japan

    • Takashi Kadowaki


  1. Search for Takayoshi Sasako in:

  2. Search for Mitsuru Ohsugi in:

  3. Search for Naoto Kubota in:

  4. Search for Shinsuke Itoh in:

  5. Search for Yukiko Okazaki in:

  6. Search for Ai Terai in:

  7. Search for Tetsuya Kubota in:

  8. Search for Satoshi Yamashita in:

  9. Search for Kunio Nakatsukasa in:

  10. Search for Takumi Kamura in:

  11. Search for Kaito Iwayama in:

  12. Search for Kumpei Tokuyama in:

  13. Search for Hiroshi Kiyonari in:

  14. Search for Yasuhide Furuta in:

  15. Search for Junji Shibahara in:

  16. Search for Masashi Fukayama in:

  17. Search for Kenichiro Enooku in:

  18. Search for Kazuya Okushin in:

  19. Search for Takeya Tsutsumi in:

  20. Search for Ryosuke Tateishi in:

  21. Search for Kazuyuki Tobe in:

  22. Search for Hiroshi Asahara in:

  23. Search for Kazuhiko Koike in:

  24. Search for Takashi Kadowaki in:

  25. Search for Kohjiro Ueki in:


T.S. developed the hypothesis, designed and performed the experiments, analyzed the data, and wrote the manuscript. S.I., A.T., T. Kubota., S.Y., K.N., K.I., H.K., and K.O. performed the experiments. M.O., N.K., Y.O., T. Kamura, K. Tokuyama., Y.F., M.F., T.T., R.T., H.A., and K.K. designed the experiments. J.S. scored histology of human liver specimens. K.E. recruited patients, collected clinical data and performed liver biopsies. K. Tobe developed the hypothesis. T. Kadowaki and K.U. developed the hypothesis, designed the experiments, analyzed the data, and wrote the manuscript.

Competing interests

The authors declare no competing interests.

Corresponding authors

Correspondence to Takashi Kadowaki or Kohjiro Ueki.

Supplementary information

About this article

Publication history




Issue Date




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