Abstract
B cell dysfunction due to obesity can be associated with alterations in the levels of micro-RNAs (miRNAs). However, the role of miRNAs in these processes remains elusive. Here, we show that miR-802 is increased in the pancreatic islets of obese mouse models and demonstrate that inducible transgenic overexpression of miR-802 in mice causes impaired insulin transcription and secretion. We identify Foxo1 as a transcription factor of miR-802 promoting its transcription, and NeuroD1 and Fzd5 as targets of miR-802-dependent silencing. Repression of NeuroD1 in β cell and primary islets impairs insulin transcription and reduction of Fzd5 in β cell, which, in turn, impairs Ca2+ signaling, thereby repressing calcium influx and decreasing insulin secretion. We functionally create a novel network between obesity and β cell dysfunction via miR-802 regulation. Elucidation of the impact of obesity on microRNA expression can broaden our understanding of pathophysiological development of diabetes.
Subject terms: Fats, RNA, miRNAs, Diabetes
Obesity predisposes to type 2 diabetes, but the mechanisms of obesity-associated β cell dysfunction are incompletely understood. Here the authors report that obesity increases the levels of miR-802, which impairs insulin transcription and secretion by targeting NeuroD1 and Fzd5.
Introduction
Obesity is a predisposing factor for the development of type 2 diabetes (T2D). Obesity promotes insulin resistance in target tissues and has detrimental effects on β cells, resulting in reduction of insulin content, abnormally elevated insulin release in the absence of stimuli, diminished capacity to secrete insulin in response to glucose, and increased β cell apoptosis1,2. The mechanisms underlying the negative impact of obesity on β cell functions are still incompletely understood. Whole-genome association studies for T2D susceptibility genes revealed that most of the associated variants were located in non-coding regions3,4. We hypothesize that failure of β cell functioning due to obesity can be associated with alterations in the levels of micro-RNAs (miRNAs).
MiRNAs are endogenous small (~22 nt), non-coding RNAs that target the 3′ untranslated region (3′UTR) of messenger RNAs by repression of protein translation or by cleavage of mRNAs, resulting in diminished target protein synthesis5–8. It has been previously speculated that up to one third of all human genes might be controlled by miRNAs9. Moreover, miRNAs have been shown to be involved in multiple biological processes, including glucose homeostasis and lipid metabolism10–12. Recent studies have highlighted some nutrient-sensitive miRNAs. For example, palmitate causes a time- and dose-dependent increase in expression of miR-34a and miR-146 in Min6 cells13. Obesity-induced overexpression of miR-143 inhibits insulin-stimulated AKT activation and impairs glucose metabolism14. miR-33a/b is involved in the regulation of fatty acid metabolism and insulin signaling15. However, the role of miRNAs in regulation of β cell functions during obesity is still largely unknown.
In this study, we investigate the potential involvement of miRNAs in obesity-mediated β cell dysfunction. We find that expression of miR-802 is upregulated in the islets of genetic and dietary mouse models of obesity. Detailed analysis of the role of the obesity-sensitive miRNAs reveals that modification of miR-802 levels has an important impact on different β cell functions. Our data suggests that the harmful effects of obesity on insulin secreting cells may be mediated, at least partially, by alterations in the miRNA expression pattern.
Results
miR-802 is upregulated in the islets of obese mouse models
To identify miRNAs that are dysregulated during obesity and that may contribute to β cells dysfunction, we performed “miRNome” expression profiling using RNA-seq analysis on RNA isolated from islets of two mouse models of obesity: high fat diet (HFD)-fed mice compared to normal chow diet (NCD) fed mice and mice homozygous for the diabetes db mutation of the leptin receptor (Leprdb/db) compared to wild type controls. The body weight, blood glucose, and insulin levels of these mice were listed in Supplementary Fig. 1a–f. Out of 2612 miRNA-specific probe sets, 1282 (49.1%) and 1330 (50.9%) miRNAs were detected in islets of HFD and Leprdb/db, respectively (Supplementary Fig. 1g, h). In the islets of HFD-fed mice, expression of 41 miRNAs was significantly altered compared to miRNAs in NCD mice, of which expressions of 20 (49%) miRNAs increased (Fig. 1a, Supplementary Table 4). In Leprdb/db islets, expressions of 120 miRNAs were significantly changed, of which expressions of 72 (60%) miRNAs increased (Fig. 1b, Supplementary Table 5). Furthermore, we performed cluster analysis of the top 10 upregulated miRNAs in the islets of HFD and db/db mice, respectively (Supplementary Fig. 1i, j). Intriguingly, miR-802-5p (miR-802) and miR-1945 were consistently upregulated in both obese models. miR-1945 has been identified in the mouse genome, but its human homologue has not yet been reported. Moreover, it has recently shown that hepatic miR-802 can be induced by obesity and plays a role in insulin resistance and glucose metabolism16. However, the role of miR-802 in pancreatic β cells remains unknown. Therefore, we chose miR-802 for further analysis.
Next, increased miR-802 expression in the islets of obese mouse models was further confirmed by qRT–PCR analyses, which revealed a 2-fold and 6-fold upregulation of miR-802 expression in the islets of HFD-fed mice and Leprdb/db mice (Fig. 1c, d), respectively. As shown in Fig. 1e, the expression level of miR-802 in the islet was up-regulated along with body weight gain. We next determined its expression in various organs of obese mice compared with control mice. This analysis revealed significant upregulation of miR-802 in liver, kidney, white adipose tissue (WAT), brown adipose tissue (BAT), and skeletal muscle of obese mice (Fig. 1f). As expected, miR-802 expression was highly enriched in the liver and islet, and also abundant in kidney, heart and WAT, while miR-802 almost could not detect in other tissues of wide type mice (Supplementary Fig. 1k). Moreover, miR-802 levels were significantly increased in overweight (body mass index (BMI) > 25) individuals compared with lean individuals (Fig. 1g) and serum miR-802 expression levels were significantly correlated with the BMI of these subjects (Fig. 1h). As shown in Fig. 1i, the expression level of Pri-miR-802 in the islets of HFD mice displayed a similar trend with miR-802. Taken together, miR-802 expression in islets is increased in both dietary and genetic mouse models of obesity.
Foxo1 improves miR-802 level in the islets of obese mice
To determine the possible causes of the changes in miR-802 expression detected in the islets of obese mice, we exposed normal mouse islets and Min6 cells to pathophysiological concentrations of palmitate and pro-inflammatory cytokines. The expression of miR-802 only increased in the presence of palmitate (Fig. 2a, b and Supplementary Fig. 2a, b). Next, we explored the molecular mechanisms underlying the upregulation of expression of miR-802 in islets of obese mice. We predicted miR-802 promoter region (Supplementary Fig. 2c) 3 kb upstream of mice miR-802 sequence, and constructed the four sgRNAs corresponding to its promoter in lentiCRISPRv2 puro vector. Supplementary Fig. 2d shows that miR-802 levels were decreased in Min6 cells transfected with sgRNAs. These results suggested that the predicted promoter region could modify miR-802 expression level. In addition, we identified 20 putative miR-802 transcription factors (Supplementary Fig. 2e) through Jaspar and Promo, among which, the nuclear-protein and mRNA levels of Foxo1 were upregulated in response to palmitate treatment in primary islets as well as in obese mice islets (Fig. 2c, d), which possess potential binding site within the promoter of miR-802. Min6 cells transfected with ADA-Foxo1 exhibited significantly the higher binding ability of Foxo1 to miR-802 promoter compared to control via dual luciferase (Supplementary Fig. 2f) and ChIP (Fig. 2e, Supplementary Fig. 2g) assay. And we also detected this binding was further increased in 0.5 mM palmitate treated Min6 cells (Fig. 2f and Supplementary Fig. 2h), as well as in obese mice islets (Fig. 2g and Supplementary Fig. 2i). As shown in Fig. 2h signal from the probe-protein-anti-Foxo1 complex was detected using a miR-802 probe in Min6 cells via EMSA assays. The same result was obtained in the islets (Fig. 2i). Further research showed that palmitate-induced miR-802 upregulation in Min6 cells was partly reversed by knockdown of Foxo1 (Fig. 2j).
Next, to verify whether knockdown of Foxo1 also repressed miR-802 expression level in vivo, 1 × 109 lentivirus particles encoding Foxo1-shRNA was injected through the tail vein. We observed an 80% reduction of Foxo1 expression in islets that has received the lentivirus-shFoxo1 compared to those receiving lentivirus-LV3 (pGLV-H1-GFP + Puro, Supplementary Fig. 2j and Supplementary Fig. 2k). Although lentivirus-shFoxo1 treatment also efficiently reduced Foxo1 expression in the liver, it only slightly reduced Foxo1 expression in WAT and kidney (Supplementary Fig. 2j). As showed in Fig. 2k, after lentivirus-shFoxo1 treatment in vivo, the expression level of miR-802 was dramatically decreased in the islet. Then, Lentivirus-shFoxo1 treatment mice were fed with HFD for 8-week weighting 40-45 g. The expression level of miR-802 in the islets has no significant up-regulation compared with control (Fig. 2l). Taken together, we speculated that increase in the expression of miR-802 in the islets of obese mouse models was mediated by up-regulation of Foxo1.
Overexpression of miR-802 in β cell impairs β-cell functions
To investigate whether increased miR-802 expression in islets is involved in regulation of insulin synthesis and secretion, we overexpressed miR-802 in primary islets and Min6 cells (Supplementary Fig. 3a, b). Overexpression of miR-802 significantly decreased the expression of insulin at mRNA and protein levels (Fig. 3a, b), as well as insulin content (Fig. 3c, d). Next, we performed glucose challenge experiment on primary islets and Min6 cells. Overexpression of miR-802 decreased insulin secretion at high glucose, even in the presence of 35 mM KCl, a general depolarizing agent (Fig. 3e, f). However, we found that miR-802 exhibited no effects on proliferation and apoptosis of Min6 cells (Supplementary Fig. 3c, d).
To verify whether overexpression of miR-802 also impairs insulin transcription and secretion in vivo, we mimicked the obesity-associated increase in miR-802 expression in a transgenic mouse model by generating H11-CAG-LSL-miR-802 knock-in mice using CRISPR/Cas9 system (Supplementary Fig. 3e). Mutant mice were identified by Southern blotting (Supplementary Fig. 3f, n = 6). Homozygous miR-802 knock-in mice (miR-802ki/ki) were crossed with RIP-Cre transgenic animals to selectively overexpress miR-802 in β cells (Supplementary Fig. 3e). Rip-Cre miR-802ki/ki (miR-802 KI) mice were born after mating between Rip-Cre miR-802ki/wt mice and miR-802ki/ki mice (Supplementary Fig. 3g). Assessment of recombination efficiency by the Cre transgene revealed selective overexpression of miR-802 genes in pancreatic islets (Supplementary Fig. 3h, n = 5). The sgRNA we used almost has no off-target effect identified by PCR and sequencing of mouse tail genomic DNA (Supplementary Fig. 3i, j, n = 10). qRT-PCR revealed an approximately 500-fold increase in total miR-802 levels in miR-802 KI mice relative to miR-802ki/ki mice (Supplementary Fig. 3k, n = 5). Moreover, a 12-fold increase of miR-802 expression in the serum of miR-802 KI mice (Supplementary Fig. 3l, n = 10). Since Rip-Cre has been previously implicated in hypothalamus and hippocampus17. As shown in supplementary Fig. 3 m, Rip-Cre expression was 1400-fold and 400-fold higher in islet versus hypothalamus and hippocampus (n = 5). Indeed, a 2-fold and 7-fold upregulation of miR-802 expression in the hypothalamus and hippocampus of miR-802 KI mice (Supplementary Fig. 3n, n = 5). Metabolic analysis of mice revealed similar weight and blood glucose level in both male and female miR-802 KI mice and littermate controls (miR-802ki/ki and Rip-Cre miR-802ki/wt, Supplementary Fig. 3o, p, n = 11 control group, n = 9 miR-802 KI group. The actual number of mice for each genotype was listed in Supplementary Table 11). In contrast, miR-802 KI mouse exhibited impaired glucose tolerance when challenged with IPGTT (Fig. 3g, n = 11 control group, n = 9 miR-802 KI). Importantly, lower levels of insulin were detected in miR-802 KI mice at 5, 15, and 30 min after glucose injection compared with control mice (Fig. 3h, n = 4). In addition, insulin content and sensitivity to glucose or 35 mM KCl were decreased in the islets derived from miR-802 KI mice (Fig. 3i, j, n = 5). Inspection of islet architecture of miR-802 KI mice revealed intact endocrine cell organization (Fig. 3k, n = 3) and morphometric analyses revealed that β cell mass was slightly decreased in miR-802 KI animals compared with miR-802ki/ki mice (Supplementary Fig. 3q, n = 3). Glucagon content was not changed in miR-802 KI animals (Supplementary Fig. 3r, n = 6). Taken together, these results indicated that overexpression of miR-802 in β cells impairs glucose tolerance by decreasing insulin content and secretion.
To evaluate whether overexpression of miR-802 could reverse the protective effect of β-cell Foxo1 deletion in vivo. We injected lentivirus-miR-802 in lentivirus-shFoxo1 treated mice by an HFD treatment for 8 weeks. The expression level of miR-802 in the islets was increased approximately 250-fold compared to control mice (Supplementary Fig. 3s, n = 5), and lentivirus-miR-802 could also partially restore the pri-miR-802 expression level suppressed by lentivirus-shFoxo1 (Supplementary Fig. 3t, n = 5). We observed that lower fasting serum insulin (FINS) levels and homeostasis model assessment of the insulin resistance index (HOMA-IR) were reversed by lentivirus-miR-802 compared to merely lentivirus-shFoxo1 treated mice (Fig. 3l and m, n = 7). In addition, compared with the lentivirus-shFoxo1 group, the area under the curve obtained from IPGTT and IPITT assays was increased in lentivirus-miR-802-treated mice, and these effects were markedly ameliorated by lentivirus-shFoxo1 treatment versus control group on HFD treatment (Fig. 3n and o, n = 7). Moreover, the ability of insulin transcription (Fig. 3p, n = 5) and secretion (Fig. 3q, n = 5) were suppressed in mice receiving lentivirus-shFoxo1 and lentivirus-miR-802 treatment compared to merely lentivirus-shFoxo1-treated mice. In summary, these results revealed that overexpression of miR-802 could reverse the protective effect of β-cell Foxo1 deletion in vivo.
MiR-802-deleted increases insulin content and secretion
To study the consequence of reduced miR-802 level in pancreatic β cells, we knocked down miR-802 in primary islets and Min6 cells (Supplementary Fig. 4a, b). Knockdown of miR-802 significantly increased the expression of insulin at mRNA, protein levels (Fig. 4a, b), and insulin content (Fig. 4c, d). Knockdown of miR-802 increased insulin secretion both in high glucose and 35 mM KCl even at low glucose exposure (Fig. 4e, f). However, miR-802 knockdown did not affect proliferation and apoptosis of Min6 cells (Supplementary Fig. 4c, d).
To study the effect of reduced miR-802 level in pancreatic β cells in in vivo, we generated miR-802 conditional knockout mice using the Cre/Lox system (Supplementary Fig. 4e). Mutant mice were identified using PCR (Supplementary Fig. 4f, n = 4). miR-802fl/fl were crossed with Rip-Cre transgenic animals to select Rip-Cre miR-802fl/wt mice, then Rip-Cre miR-802fl/wt mice were crossed with miR-802fl/fl mice to selectively ablate miR-802 expression in β cells (Supplementary Fig. 4g). Assessment of recombination efficiency by the Cre transgene revealed selective deletion of miR-802 genes in pancreatic islets (Supplementary Fig. 4h, n = 5). Rip-Cre miR-802fl/fl (miR-802 KO) mice were born at Mendelian frequencies (Supplementary Fig. 4g, n = 7, the actual number of mice for each genotype was listed in Supplementary Table 12) and were normal. These sgRNAs we used have no off-target effect via PCR and sequencing of tail DNA (Supplementary Fig. 4i and j, n = 10). Expression analysis revealed an approximately 70% decrease in total miR-802 levels in miR-802 KO versus miR-802fl/fl islets (Supplementary Fig. 4k, n = 5–6). Moreover, it only slightly reduced miR-802 expression in hippocampus (Supplementary Fig. 4l). Although their weight and blood glucose levels were similar to that of littermate controls (miR-802fl/fl) in both male and female (Supplementary Fig. 4m, n, n = 9), miR-802 KO mouse showed improved glucose tolerance when challenged with IPGTT (Fig. 4g, n = 4). Importantly, miR-802 KO mice displayed higher insulin levels compared with control mice at 5, 15, and 30 minutes after glucose injection (Fig. 4h, n = 7). Glucose-induced insulin secretion assays was performed in the islets of 5- and 35-week-old mice (n = 5) to further characterize the ability of insulin secretion of miR-802 KO mice. In both age groups, insulin secretion was increased 1.5- to 4-fold when treated with 33.3 mM glucose, and insulin secretion was increased by 2-fold when treated with 35 mM KCl (Fig. 4i, j). Then, endocrine β cell mass and function were analyzed to investigate the cause of miR-802-deletion improved glucose tolerance. The results showed that endocrine cell organization of islet architecture of miR-802 KO mice were intact (Supplementary Fig. 4o, n = 3) and endocrine cell mass revealed no significant differences via morphometric analyses (Supplementary Fig. 4p, n = 3). The mRNA and protein levels of insulin was increased in miR-802 KO animals (Fig. 4k, l, n = 5). And insulin content also increased (Fig. 4m, n = 5), but there was no change in glucagon levels (Supplementary Fig. 4q, n = 6). Taken together, these results indicated that deletion of miR-802 in β cells improves glucose tolerance by increasing insulin content and secretion.
miR-802 impairs obesity-associated insulin resistance
Since our data demonstrated that expression of miR-802 was upregulated in the islets of obese mice, we hypothesized that the improved metabolic control of miR-802 KO mice would be enhanced under HFD feeding. Then, we exposed 8-week old male miR-802 KO mice to HFD for 12 weeks. We confirmed that mice fed HFD for 12 weeks displayed no effect on body weight, random-fed glycemia, cumulative energy intake or body fat content as well as no effect on adipocyte size between control mice and miR-802 KO mice (Supplementary Fig. 5a–e). On the other hand, the serum insulin concentrations was diminished in miR-802 KO mice of HFD feeding (Fig. 5a, n = 10). In accordance with this, glucose tolerance tests revealed an improvement of glucose tolerance upon miR-802 KO mice (Fig. 5b, n = 10). Moreover, insulin sensitivity was also improved compared to control mice (Fig. 5c, n = 10) and miR-802 KO mice lead to a reduction of HOMA-IR indices (Fig. 5d, n = 10). Subsequently, we isolated islets of control mice and miR-802 KO mice after 6- and 12-week HFD treatment. GSIS results revealed that insulin release was markedly improved in miR-802 KO mice when islets exposed to 33.3 mM glucose or 35 mM KCl (Fig. 5e, f, n = 5). This finding further indicated that deletion of miR-802 expression in islets contributes to the compensatory β cell secretory function instigated by insulin resistance and obesity.
Identification of miR-802 target genes in pancreatic β cells
To identify the target mRNAs of miR-802 which serve as its molecular effectors in β cell dysfunction, four computational algorithms, including TargetScan, miRanda, RNAhybrid, and PicTar, were used in combination to search for potential targets of miR-802. We identified 10 putative miR-802 target genes (Supplementary Fig. 6a). Among the candidates, Neurogenic Differentiation-1 (NeuroD1) and Frizzed class receptor 5 (Fzd5) were predicted to be miR-802 target by all the four algorithms, since they harbored an miR-802 binding site, which were also conserved in humans, mice, and rats (Supplementary Fig. 6b, c). NeuroD1 is an islet function activator gene that has been reported to play an important role in pancreatic β cell function18,19, and Fzd5, as a receptor for Wnt5a20, is the key molecule involved in progression of T2D by increasing intracellular calcium level21,22. Thus, NeuroD1 and Fzd5 were selected as viable candidates.
In most cases, miRNAs generally exhibit the expression patterns that are opposite to that of their targets. Therefore, we investigated whether miR-802 expression is inversely correlated with NeuroD1 and Fzd5 expression in the islets of obese mice, which exhibited increased miR-802 expression compared to controls. Figure 6a, b shows that the mRNA and protein levels of NeuroD1 and Fzd5 were decreased in the islets of HFD and Leprdb/db mice (n = 5), the similar results were obtained in the islets incubated with 0.5 mM palmitate (Fig. 6c, d). Subsequently, a luciferase reporter assay was performed to confirm that miR-802 directly targeted the predicted binding sites in the NeuroD1 (Supplementary Fig. 6b) and Fzd5 3′-UTR (Supplementary Fig. 6c). The putative miR-802 MREs of the mouse NeuroD1 and Fzd5 3′-UTR were inserted downstream of the firefly luciferase gene in a Pmir-PGLO reporter plasmid. As predicted, the luciferase activity was significantly reduced in Min6 cells co-transfected with luciferase reporter plasmid and miR-802 mimic. Overexpression of miR-802 has no effect on the mutated luciferase reporter activity (Fig. 6e, f).
We next investigated the ability of miR-802 in regulating NeuroD1 and Fzd5 mRNA and protein levels in Min6 cells. When transfected with miR-802 mimic, the mRNA and protein levels of NeuroD1 and Fzd5 were significantly decreased in the Min6 cells (Supplementary Fig. 6d, e). Similar pattern was observed in the islets of miR-802 KI mice and miR-802 KO mice compared to control (Fig. 6g–j, n = 6). Lentivirus-shFoxo1 remarkably increased the mRNA and protein levels of miR-802 targets NeuroD1 and Fzd5, whereas the simultaneous overexpression of miR-802 nearly abolished these increases (Supplementary Fig. 6f–h, n = 5). Taken together, these experiments indicated NeuroD1 and Fzd5 to be the targets of miR-802-dependent transcriptional silencing in β cells in vitro and in vivo.
miR-802 affects insulin transcription by targeting NeuroD1
NeuroD1 was capable of activating both Ins1 and Ins2 by binding to their conserved E box elements to function as an important transcription factor in β cell18,19. A luciferase reporter assay was performed to confirm that NeuroD1 could bind to promoter of insulin 2 (Supplementary Fig. 7a). We next investigated whether miR-802 affected insulin transcription by targeting NeuroD1 through overexpression and knockdown of NeuroD1 in Min6 cells (Supplementary Fig. 7b). Functionally, siRNA-mediated silencing of NeuroD1 in Min6 cells led to decreased Ins1 and Ins2 expression (Fig. 7a). The insulin content was also positively correlated with the expression of NeuroD1 (Fig. 7b). Rescue experiment result showed that the downregulation of insulin transcription caused by overexpression of miR-802 was partially reversed by overexpression of NeuroD1 (Fig. 7c). We next examined the effect of miR-802 on the development of β cells in miR-802 KO mice and miR-802 KI mice at E13.5 and E 17.5 compared them to control mice. Revealing that knockdown miR-802 could promote β-cell differentiation and pancreatic β-cell numbers were increased in miR-802 KO mice (Supplementary Fig. 7c, n = 3), while miR-802 KI mice achieved the opposite effect (Supplementary Fig. 7d, e, n = 3). Taken together, these data suggested that miR-802 affected insulin transcription and β-cell development in a NeuroD1-dependent manner.
Fzd5 restores insulin synthesis and secretion of β cells
To explore the roles of Fzd5 on β cell function, we overexpressed or knocked down Fzd5 in Min6 cells (Supplementary Fig. 8a). Suppressed Fzd5 by siRNA decreased insulin transcription and reduced insulin secretion even on stimulation with high glucose and 35 mM KCl (Fig. 8a, b). Dysregulation of Fzd5 affected the content of insulin too (Fig. 8c). Moreover, the downregulation of insulin transcription caused by knockdown of Fzd5 was partially reversed by anti-miR-802 (Supplementary Fig. 8b). The miR-802-mediated reduction in insulin secretion was restored by overexpression of Fzd5 (Fig. 8d). And we observed that the abundance of insulin granules was significantly increased in miR-802 knockdown group (Fig. 8e). In agreement with these findings, overexpression of Fzd5 in Min6 cells increased the abundance of insulin granules and Fzd5 knockdown had opposite effect (Supplementary Fig. 8c).
Based on our findings that miR-802 regulates insulin secretion and transcription by silencing of Fzd5, we first investigated why miR-802 targeting of Fzd5 affected insulin secretion. It is well known that Fzd5 is a receptor of non-canonical Wnt signaling pathway23,24. Different independent studies have shown that overexpression of Fzd5 can phosphorylate calcium/calmodulin-dependent kinase II (CamkII) increasing intracellular calcium influx in different kinds of cells20,25,26. Corroborating these reports, modified Fzd5 expression induced changes in CamkII activity in Min6 cells (Fig. 8f). As expected, overexpression of miR-802 in Min6 cells decreased intracellular Ca2+ concentration (Fig. 8g and Supplementary Fig. 8d). In addition, it was observed that overexpression of miR-802 inhibited Ca2+ content in response to 25 mM glucose or extracellular K+ (35 mM, Fig. 8h, i) by FLIPR assays. The above results suggested that miR-802 induced calcium influx by targeting Fzd5, thus causing insulin secretion.
We next investigated why miR-802 targeting of Fzd5 altered insulin transcription. It is well known that phosphorylated cAMP response element binding protein (CREB) is an effecter molecule downstream of Fzd5/CamkII pathway27,28. After CamkII overexpression or treatment with 8 μM CamkII inhibitor (KN-93), the phosphorylation level of CREB was upregulated or downregulated in Min6 cell, respectively (Supplementary Fig. 8e). Interestingly, p-CREB levels increased with the increase in p-CamkII expression in miR-802 KO mice (Fig. 8j, n = 6), while they decreased with the decrease in p-CamkII expression in miR-802 KI mice (Fig. 8k, n = 6). This inhibitory effect of miR-802 on p-CamkII and p-CREB was recapitulated in the len-shFoxo1 mice injected with len-miR-802 (Fig. 8l, n = 6). In addition, we found that after the overexpression or knockdown of miR-802 in Min6 cells, the expression of various islet-transcription factors was altered and change in Sox6 expression was the most significant among them (Supplementary Fig. 8f). The dysregulation of Sox6 even occurred in miR-802 KO mice and miR-802 KI mice (Fig. 8m, n, n = 6). Moreover, we found that the mRNA and protein levels of Sox6 were decreased during overexpression of CREB (Supplementary Fig. 8g).
Next, we investigated whether CREB could bind to Sox6 promoter to regulate insulin gene expression. Two binding sites of CREB in Sox6 promoter region were found (Supplementary Fig. 8h top). The overexpression of CREB in Min6 cells decreased the transcriptional activity of Sox6 promoter and the mutation of the Region 1 (R1) binding site ameliorated the positive effect of Sox6 on gene transcription, while the mutation of Region 2 (R2) showed no such effect as R1 (Supplementary Fig. 8h bottom). These results were confirmed via ChIP strategy (Fig. 8o and Supplementary Fig. 8i). Sox6 plays an important inhibitory role in insulin biosynthesis through binding to insulin promoter29,30. Rescue experiment in Min6 cells showed that Sox6-mediated decrease in luciferase activities in Min6 cells was reversed by transfection with over-CREB vector (Fig. 8p). These results supported the role of miR-802 in suppressing insulin gene transcription by promoting the expression of Sox6 via downregulation of CREB.
Discussion
The relevance between obesity and β cell dysfunction is a fundamental research topic for the development of new therapies increasing insulin secretion and optimizing metabolism of T2D patients. Here, we found that miR-802, overexpressed in the islets of HFD mice and Leprdb/db mice, is a key regulator of insulin secretion in pancreatic β cells. We show that overexpressing miR-802 in β cells impairs insulin transcription and secretion through directly targeting NeuroD1 and Fzd5. Further underlying molecular mechanism research shows that miR-802 can regulate the phosphorylation of CREB by targeting Fzd5, thereby regulating the expression of Sox6, and ultimately, affecting insulin transcription. Moreover, miR-802 induces calcium influx by targeting Fzd5, causing insulin secretion (Fig. 9).
To determine the possible causes of the changes in miR-802 expression detected in the islets of obese mice, we investigate the mechanisms responsible for the induction and activation of miR-802. We identify 20 putative miR-802 transcription factors through Jaspar and Promo, among which Foxo1 upregulate in response to palmitate treatment in primary islets as well as in obese mice islets31,32. Based on previous study, Foxo1 could involve in insulin resistance and dysregulated glucose metabolism in the liver33,34. But in the pancreas, Foxo1 was suggested as a double-edged sword35, and the molecular mechanism underlying its ability to regulation obesity in the pancreas remains largely unknown. Foxo1, a transcription factor, can activate and repress gene expression through binding to the genes’ promoter regions32,36. Consistent with that in the islet, Foxo1 can bind to miR-802 promoter via luciferase reporter, EMSA and ChIP assays.
MiRNAs, which are stable in the serum and plasma37, are possibly transferred from donor cells to recipient cells where they alter the gene expression of recipient cells. In the present study, we find that miR-802 expression in the serum of miR-802 KI mice is increased, suggesting that miR-802 may play potential roles in tissues’ communication, such as liver. For instance, previous study had reported that obesity-induced hepatic miR-802 overexpression, which caused insulin resistance and impairing glucose metabolism in vivo16.
To gain further insights into the mechanism of miR-802-mediated regulation of β cell function, we use a stringent bioinformatics approach to identify miR-802 target genes. Bioinformatics analysis reveals that NeuroD1 and Fzd5 may be the target genes of miR-802. NeuroD1 is an islet-transcription factor, which increases insulin production by targeting insulin promoter38–40, and NeuroD1 is also known to be critical for β-cell differentiation during embryogenesis41,42. Moreover, the mRNA expression levels of insulin gene transactivators such as Pdx1, Pax6, Nkx6.1 and Mafa were decreased by miR-802, which indicate that miR-802 plays a critical role in dedifferentiation of pancreatic β cells. Deregulation of a subset of transcriptional regulators in pancreatic β cells is underlined a fundamental cause of β cell dysfunction leading to T2D43. Together, these findings suggest that deregulation of miR-802 represents a central cause of compromised insulin production and reduces expression of transcription regulators maintaining β cell maturity.
CamkII is a key mediator and feedback regulator of Ca2+ signaling pathway in β cells and promotes Ca2+ influx44, which plays a critical role in the promotion of insulin secretion45,46. Here, we find that Fzd5 is a novel miR-802 target, which can mediate at least part of the effects of miR-802 on insulin secretion via increasing intracellular Ca2+ content. In this context, miR-802 represents a unique miRNA molecule for its ability to suppress Ca2+ influx, which reduces the release competence of secretory granules and impairs secretory robustness to pancreatic β cells.
Interestingly, we also determine that miR-802 suppresses insulin gene expression by inhibiting Ca2+ signaling pathway. Welsh et al.47 reported that Ca2+ signaling pathways could also affect the rates of insulin mRNA translation, but the underlying mechanism was still elusive. CREB28, which plays an important role in insulin gene transcription48, is the downstream gene of CamkII. Since the mechanism of CREB-mediated regulation of insulin synthesis is not clear, the downstream mechanism by which CREB promotes insulin synthesis is investigated. In our study, we show that Sox6 is suppressed by transfection of over-CREB. Dual luciferase analyses and Chip strategy further demonstrate that CREB binds to Sox6 promoter. Sox6, an important islet-transcription factor, binds to insulin promoter to inhibit insulin synthesis29. These results indicate that knockdown of miR-802 contributes to insulin synthesis by suppressing Ca2+ signaling pathway via suppression of CREB binding to Sox6 promoter.
In conclusion, our study reveals an important role of miR-802 in the development of obesity-associated β cell dysfunction. It is observed that overexpression of miR-802 downregulates insulin transcription and secretion and impairs glucose tolerance, clearly indicating a functional role of miR-802 in the development of obesity-associated β cell dysfunction. Therefore, our present study characterizes miR-802 and its target gene(s), which unveil novel research avenues for the treatment of obesity-associated T2D.
Methods
Animal care
Leprdb/db, Leprdb/- and C57BL/6 J male mice (7–8 weeks old) were obtained from Model Animal Research Center of Nanjing University (Nanjing, China). RIP-Cre mice were obtained from Jackson laboratory (003573-B6.Cg-Tg (Ins2-cre) 25Mgn/J). All animals were of pure C57BL/6 background except Leprdb/db and Leprdb/- mice, which were of BKS background. C57BL/6 J mice were fed high fat diet (HFD) for 8 weeks (D12494, 60% energy from fat) according to the criteria defined by Peyot ML49, and weighted between 40 g and 45 g. The control groups were fed with normal diet (D12450J, 10% energy from fat), and weighted between 23 g and 25 g. Mice were housed in groups of 3–5 animals/cage on a 12 h light/dark cycle in an SPF facility at 22-24 °C, 40-50% humidity. All care and handling of animals were carried out according to the international laws and policies (EEC Council Directive 86/609, 1987) and approved by the animal ethics committee of China Pharmaceutical University (Nanjing, China). Permit Number: 2162326. Care of animals was done within institutional animal-care committee guidelines.
Generation of miR-802 knockout and knock-in mice
We generated miR-802 conditional knockout and knock-in mice via CRISPR/Cas9 system from Model Animal Research Center of Nanjing University (Nanjing, China). For miR-802 knockout mice, two sgRNAs-targeting the introns on both sides of the floxed region of miR-802 were constructed and transcribed in vitro (two sgRNA sequences were listed in Supplementary Table 1). The donor vector with the loxp fragment was designed and constructed in vitro. For miR-802 knock-in mice, one sgRNA-targeting the near sequence of inserted site was constructed and transcribed in vitro (one sgRNA sequence was listed in Supplementary Table 1). The donor vector with the inserted fragment was designed and constructed in vitro. Then, Cas9 mRNA, sgRNA, and donor of each model mice were co-injected into 0.5 day’ zygotes of C57BL/6 J mice. Thereafter, 400 zygotes were transferred into the oviduct of pseudopregnant ICR females at 0.5 days post-copulation. 61 miR-802 knockout F0 mice and 109 miR-802 knock-in F0 mice were born after 19–21 days of transplantation and all the offspring of ICR females (F0 mice) were identified by PCR and sequencing of tail DNA. The primers are listed in Supplementary Table 2. Finally, 2 positive miR-802 knockout F0 mice and 9 positive miR-802 knock-in F0 mice were crossed with C57BL/6 J mice to build up miR-802 knockout and knock-in heterozygous mice (miR-802fl/wt, miR-802ki/wt). Homozygote miR-802 knockout and knock-in mice (miR-802fl/fl, miR-802ki/ki) were obtained from backcross- intercross of miR-802fl/wt or miR-802ki/wt. Then miR-802fl/fl or miR-802ki/ki mice were crossed with Rip-Cre mice to select Rip-Cre miR-802fl/wt or Rip-Cre miR-802ki/wt. Finally, these mice were crossed with miR-802fl/fl or miR-802ki/ki mice to delete or overexpress miR-802 in β cells, respectively. Off-target effects were identified by PCR and sequencing of tail DNA for 10 Rip-Cre miR-802fl/fl (miR-802 KO) and 10 Rip-Cre miR-802ki/ki (miR-802 KI) mice. The primers are listed in Supplementary Table 2.
Serum samples of lean and overweight individuals
The serum and clinicopathological data were collected from the Zhongda Hospital, Affiliated to southeast University (Nanjing, China). All the patients enrolled in this study had obesity (BMI > 25). The negative controls were represented by lean individuals (20 ≤ BMI ≤ 25). All human subjects provided informed consent. All human studies were conducted according to the principles of the Declaration of Helsinki, were approved by the Ethics Committees of the Department Zhongda Hospital Southeast University (Nanjing, China, 2018ZDSYLL132-P01). The clinical features of the patients are listed in Supplementary Table 3.
Southern blotting
Tail biopsies were processed in Sarkosyl-based buffer supplemented with 50 mg mL−1 Proteinase K at 56 °C. The supernatants were extracted once with phenol/chloroform/isoamyl alcohol solution (Sigma) before precipitation with 2 volumes of ethanol. Genomic DNA was digested at 37 °C for 15 h, loaded on 0.8% Tris-Acetate-EDTA agarose gels, and transferred to nylon blotting membrane (BioRad). Membranes were UV-cross-linked and incubated at 85 °C for 1 h. 32PRadialoabeled PCR probes were prepared by Prime-It Random Primer Labeling kit (Agilent Technologies) and purified by G50 gel filtration (GE Healthcare). Membranes were incubated with specific probes for 16 h at 60 °C, washed, and exposed to screen.
Islet dispersion and insulin secretion cells
Mouse pancreatic islets were incubated in Ca2+ and Mg2+ free PBS for 28 min at 37 °C and centrifuged for 5 min at 200 g. Supernatant was removed and islets were resuspended in KRBH balanced buffer (115 mM NaCl, 4.8 mM KCl, 2.5 mM CaCl2, 1.2 mM MgSO4, 1.2 mM KH2PO4, 20 mM NaHCO3, and 16 mM HEPES; pH 7.4) containing 0.2% BSA supplemented with 2.5 mM glucose, 10% FBS, 100 IU mL−1 penicillin, 100 μg mL−1 streptomycin, 2 mM L-glutamine and 10 mM nicotinamide, and seeded in plate conditioned medium (96-well plate contains 30 islets for glucose-stimulated insulin secretion (GSIS), 48-well plate contains 100 islets for RNA, and 6-well plate contains 200 islets for western blot). Then, dispersed islet cells were transfected with either miR-802 mimic or miR-802 inhibitor using Lipo2000 according to the manufacturer’s instructions for further studies.
The mice pancreatic β cell line Min6 (passage 20-30) was maintained in DMEM (Gibco) containing 15% FBS (Gibco, Burlinton, ON, USA), 100 IU mL−1 penicillin, 100 μg mL−1 streptomycin, and 50 μM β-mercaptoethanol (Sigma Aldrich, St. Louis, MO, USA) at 37 °C in humidified atmosphere containing 5% CO2.
For palmitate treatment, islets and Min6 cells were incubated in 0.5 mM palmitate (Sigma Aldrich). Palmitate (200 mM) was dissolved in ethanol, filter sterilized, diluted 1:22.2 in 10% BSA (9 mM palmitate). Before use, 9 mM palmitate-BSA stock was diluted 1:18 in serum-free DMEM to achieve 0.5 mM palmitate in the presence of 0.5% (wt vol−1) BSA.
For GSIS, Min6 cells (2×105 cells well−1 in 48-well plate) were preincubated overnight in KRBH balanced buffer containing 0.2% BSA supplemented with 2.5 mM glucose and 10% FBS, and were incubated for 2 h in 2.5 mM, 25 mM glucose or 35 mM KCl. The insulin levels were measured by mice insulin ELISA kit (Crystal Chem, USA), according to the manufacturer’s instructions. The amount of insulin secretion was normalized by the total cellular protein content. The protein contents of Min6 cells were quantified by BCA kit.
Glucose-stimulated insulin secretion (GSIS) in mouse Islets
Mouse pancreatic islets (30 islets well−1 in 48-well plate) were collected under a stereomicroscope at room temperature and cultured in 2.5 mM glucose in the absence or presence of test agents for 48 h. Thereafter the islets were washed and preincubated for 30 min at 37 °C in KRBH buffer, supplemented with 0.2% bovine serum albumin and 2.5 mM glucose. After preincubation, the buffer was changed to a medium containing either 2.5 mM, 33.3 mM glucose or 35 mM KCl. The islets were then incubated for 1 h at 37 °C. Immediately after incubation an aliquot of the medium was removed for analysis of insulin via mice insulin ELISA kit (ExCell Bio, Shanghai, China), and the islets were lysed to extract total protein, the amount of insulin secretion was normalized by the total cellular protein content50.
Glucose-tolerance tests in vivo
Glucose-tolerance tests were carried out in mice after a 12 h overnight fasting. After determination of fasted blood glucose levels, animals received an intraperitoneal (i.p.) bolus of 2 g glucose kg−1 body weight. Blood glucose levels were determined after 15, 30, 60, and 120 min. Serum sample was collected from eye canthus blood at 0, 5, 15, and 30 min. Insulin level was evaluated using mice insulin ELISA kit (Crystal Chem, USA), according to the manufacturer’s instructions.
In vivo experiments
Male C57BL/6 J mice (8 weeks old, about 23–25 g) were randomly divided into 3 groups (n = 10). Lentivirus-shFoxo1 (Len-shFoxo1) was constructed from GenePharma (shanghai, China). Then, 1 ×109 lentivirus-shFoxo1 dissolved in 0.2 mL normal saline (NS) was injected intravenously into each mouse through the tail vein. Lentivirus-LV3 (pGLV-H1-GFP + Puro) at the same concentration was used as a control. At 72 h after injection, islets (100 islets for RNA and 200 islets for protein) were lysed to extract total RNA or protein to measure the knockdown efficacy. And the expression level of miR-802 was analyzed by qRT-PCR. Then mice were fed with high fat diet (HFD, D12494, 60% energy from fat) for 8 weeks.
Measurement of intracellular Ca2+ concentration
Forty-eight hours after transfection, the culture medium of the cells in the 96-well clear-bottomed black plates was removed and replaced with dye loading buffer (100 μL well−1) containing 4 μM fluo-4. After incubation for 45 min, cells were washed with Locke’s buffer for five times using an automated cell washer (BioTek Instruments, Winooski, VT), reaching a final volume of 150 μL in each well. Then, the plate was transferred to a fluorescence laser plate reader (Molecular Devices, Sunnyvale, CA) chamber. Fluorescence reading was taken for 5 min to establish the baseline, and then, 25 μL of the test compound solutions (8×) were added to corresponding wells. After that, the fluorescence readings were taken for 30 min. Background fluorescence was automatically subtracted from all fluo-4 fluorescence measurements.
Min6 cells were transfected with lentivirus miR-802 (len-miR-802) or lentivirus anti-miR-802 (len-anti-miR-802) for 48 h. The intracellular calcium contents were measured by Fluo-3M (Abcam, ab145254), according to the manufacturer’s instructions, using flow cytometry and immunofluorescence.
RNA-sequencing and analysis
Total RNA from islets of NCD, HFD, wide type control mice, and Leprdb/db mice was isolated using the RNeasy mini kit (Qiagen), following the protocol for total RNA isolation. RNA integrity and concentration were assessed using the RNA Nano 6000 Assay Kit of the Bioanalyzer 2100 system (Agilent Technologies, CA, USA), according to the manufacturer’s instructions. The expression level of miRNAs was measured by “Transcripts Per Kilobase Million” (TPM). Differentially expressed miRNAs were analyzed using DESeq package (DESeq version 1.26.0) based on the negative binomial distribution test51, which were considered differentially expressed with an adjusted p-value ≤ 0.05 and the absolute value of log 2 (fold change) > 1 was used to identify significantly differentially expressed genes. The raw data is presented in Supplementary Table 4 and 5.
Plasmid construction
The coding sequences for Foxo1, Sox6, Fzd5, NeuroD1, CamkII, and CREB were amplified by PCR from full-length cDNA of mice, and then cloned in pcDNA 3.1 vector. The primer sequences for PCR are listed in Supplementary Table 6.
The sgRNAs of miR-802 promoter were constructed in lentiCRISPRv2 puro vector according to the Zhang F libraries52. The lentiCRISPRv2 puro vector was digested with BbsI and ligated with annealed oligonucleotides. The sgRNA primer sequences are listed in Supplementary Table 7A.
The mouse Sox6 promoter, upstream 2 kb, and mouse miR-802 promoter, upstream 3 kb (the sequence was obtained from UCSC), were obtained by PCR and the mutation site primers are listed in Supplementary Table 6. The PCR product was cloned into the PGL3-basic vector (Promega, Madison, WI).
Chromatin immunoprecipitation (ChIP) experiment
Min6 cells, transfected with ADA-Foxo1, si-Foxo1, CREB, sh-CREB, were fixed with 37% formaldehyde for 10 min, followed by 30 rounds of sonication each for 3 s to fragment the chromatin. The chromatin was incubated with the anti-Foxo1 antibody (ab39670, Abcam) or anti-CREB antibody (ab31387, Abcam) at 4 °C overnight, and then, immunoprecipitated with Proteinase K (Millipore). Purified DNA was amplified by PCR using primer pairs that spanned the predicted Foxo1 or CREB binding sites. Primer sequences are listed in Supplementary Table 6.
Electrophoretic mobility shift assays (EMSA) analysis
The probes, an approximately 25 bp fragment included the binding sizes, were biotin end-labeled referring to the instructions of the Biotin 3′ End DNA Labeling Kit (Thermo Pierce, Massachusetts, USA) and then annealed to double-stranded probe DNA. Foxo1-DNA complexes were performed according to the instructions of the LightShift Chemiluminescent EMSA kit (Thermo Fisher Scientific, Massachusetts, USA). Probe sequences are listed in Supplementary Table 6.
siRNA for Protein Expression Silencing in cells
Small interfering RNAs (siRNAs) were designed and synthesized by Ribobio (Guangzhou, Guangdong, China). For transient transfection, isolated mouse islets or Min6 cells (~5 ×105) were seeded in six-well plates cultured in media without antibiotics and transfected with Lipofectamine 2000 reagent (Invitrogen) according to the manufacturer’s instructions. Cells were transfected for 6 h with the Fzd5, NeuroD1 and Foxo1 siRNA at a final concentration of 50 nM or with control siRNA (non-targeting siRNA) at the same concentration before changing to fresh media including antibiotics. At 48 h after transfection, cells were lysed to extract total RNA or protein to measure the knockdown efficacy. Sequences of shRNA and siRNA were listed in Supplementary Table 7.
Plasmid and Transient Transfections
Min6 cells (~5 ×105) were seeded in six-well plates in culture medium without antibiotics and transfected with full-length cDNA encoding Fzd5, NeuroD1, CREB, Sox6, ADA-Foxo1 or control plasmid (non-coding) using Lipofectamine 2000 reagent (Invitrogen) according to the manufacturer’s instructions. 6 h post-transfection, medium was replaced with fresh medium containing antibiotics. At 48 h post-transfection, the cells were harvested and analyzed by immunoblotting and qPCR for the relative level of various proteins and mRNA. All the plasmid used were listed in Supplementary Table 8.
MiR-802 duplex mimics (50 nM), 2′-O-methylated single-stranded miRNA antisense oligonucleotides (anti-miR-802, 100 nM), and negative controls at the same concentration were obtained from GenePharma (Shanghai, China). For transient transfection, Lipofectamine 2000 reagent (Invitrogen) was mixed with miRNA mimics/inhibitors according to the manufacturer’s instructions53, mimics NC or inhibit NC was transfected at the same concentration as negative control. At 48 h post-transfection, the cells were harvested and analyzed by qPCR for the relative level of miR-802.
Virus (Lentivirus) infection
Min6 cells were seeded in six-well plates at a density of about 5 ×105 cells with Lentivirus encoding either miR-802 (len-miR-802, 5 µL mL−1) or miR-802 sponge (len-anti-miR-802, 5 µL mL−1) plus Polybrene for 48 h. For comparison, scramble (lentiviral particles without targeting any specific region) served as control.
Luciferase assays
Min6 cells were plated at the concentration of 10,000 cells well−1 in 24-well plates 24 h before transfection. The cells were then transfected with 0.9 μg DNA well−1 (0.4 μg construct promoter and 0.4 μg transcription factors; 0.1 μg constitutive renilla expression plasmid as a control for transfection efficiency). Cells were harvested 24 h after transfection and luciferase activities were measured using a dual-luciferase reporter assay system (Promega).
For the generation of reporter constructs, the complete 3′-UTR of murine Fzd5 and NeuroD1 containing either the wild type or mutated miR-802 binding sites was cloned behind the stop codon of the firefly luciferase open reading frame using specific primers. Min6 cells were plated in 24-well plate with 100 ng pmir-PGLO reporters along with miR-802 mimic or miR-802 inhibitor using Lipofectamine 2000 transfection reagent (Invitrogen), according to manufacturer’s instructions. Dual luciferase reporter assays were performed 24 h after transfection using a Luciferase Assay System (Promega). Transfection data represent at least three independent experiments each performed in triplicates.
Real-time PCR
Islets (100 islet per group) and Min6 cells were isolated using TRIZOL (Invitrogen), cDNA was generated using HiScript Q RT SuperMix for qPCR (Vazyme, China) and real-time PCR assays were conducted with a LC480 Light Cycler (Roche, Germany) using the applied primer sequences listed in Supplementary Table 9. Relative expression of genes was determined using a comparative method (2-△CT). U6 and GAPDH were used as internal standards for miRNAs and mRNAs, respectively. For miR-802 and U6, TaqMan probes (Ambion) were used to confirm our results.
Cell counting kit-8 (CCK-8) assay
Min6 cells were seeded in 96-well plates (4×104 cells well−1) in 100 μL culture medium. CCK-8 assay (Vazyme, Nanjing, Jiangsu, China) was performed at 0, 24, 48, and 72 h after transfection, according to the manufacturer’s instructions.
Flow cytometry
Forty-eight hours after transfection, cells were treated with EDTA, according to the instructions of Annexin V-FITC Apoptosis detection kit (KeyGEN BioTECH, Nanjing, Jiangsu, china). The FITC and PI were examined at 488 nm and 630 nm for the evaluation of cell apoptosis, FACS data was analyzed using FlowJo v10 software.
Electron microscopy
Min6 cells, transfected with either lentivirus miR-802 (len-miR-802) or lentivirus anti-miR-802 (len-anti-miR-802) for 48 h, were fixed in Karnovsky’s fixative at 4 °C overnight, incubated with 1% osmium tetroxide in 0.1 M cacodylate buffer for 30 min, washed three times, dehydrated, embedded in eponate, and processed for transmission electron microscopy (HITACHI, HT7700). Granule number was determined using Metamorph software and normalized to the area of the footprint (vesicles mm−2).
Western blot
The whole cell lysate and nuclear-protein fractions were isolated from tissues or cultured cells using a protein extraction kit (Beyotime, Shanghai, China). The total proteins from indicated tissues, primary islets (200 islets per group) and Min6 cells, were extracted in RIPA Lysis Buffer (Beyotime) containing 1% PMSF (Sigma). Western blot analyses were conducted according to standard procedures using specific antibodies. The antibodies are listed in Supplementary Table 10. Densitometric calculations were expressed as fold change in proteins relative to GAPDH expression levels by ImageJ software.
Immunohistochemistry and immunofluorescence
Pancreas were fixed in 4% paraformaldehyde and embedded in paraffin, and the antigen from the cut sections were retrieved by boiling them in 10 mM Tris/EDTA (pH 9.0). Sections were permeabilized and blocked in PBS buffer containing 0.1% Triton X-100, 1% BSA, and 5% goat serum. Primary antibody binding was performed overnight at 4 °C, while incubation with secondary antibody was done at room temperature for 1 h. Images were acquired on LSM510 Zeiss confocal microscope (Zeiss) at ×20 or ×40 magnification. The antibodies are listed in Supplementary Table 10.
Morphometry
For morphometric analysis of pancreas, 8-μm sections were cut, and five sections, at least 180 μm apart, were taken from each mouse for a different type of analysis; at least 3 mice per group were analyzed in every case. For determining β cell mass, sections were stained with anti-insulin and anti-glucagon antibodies and DAPI, the pancreatic sections were scanned entirely using a ×10 objective of a Zeiss AxioVert 200 microscope. The fraction of the insulin- or glucagon-positive areas were determined using Image J, and the mass was calculated by multiplying this fraction by the initial pancreatic wet weight.
The number of β-cells/pancreas area was determined from counts of β-cells (DAPI+ nuclei in insulin+ area) on sections of 10–20 islets/mouse54.
Mouse metabolic assays
Mouse metabolic assays were performed. Briefly, body weight, fasting blood glucose (FBG) levels and fasting serum insulin (FINS) levels were examined after a 6 h fasting treatment by using a glucometer (OMRON, Japan) and by ELISA (ExCell Bio, Shanghai, China), respectively. And the homeostatic model assessment indices of insulin resistance (HOMA-IR) was calculated with the equation (FBG (mmol L−1) x FINS (mIU L−1))/22.5. To perform the glucose tolerance tests, 1.5 g kg−1 glucose (Sigma-Aldrich, St Louis, MO, USA) was i.p. injected into mice, whereas 0.75 U kg−1 insulin (Novolin R, Novo Nordisk, Bagsvaerd, Denmark) was i.p. injected into mice for insulin tolerance tests. Blood glucose levels were examined at 0, 15, 30, 60, and 120 min after injection. The AUC are given as the incremental area under the curve, calculated by the conventional trapezoid rule.
Statistical analysis
Two-tailed unpaired Student’s t test was used to show the significant difference between 2 groups, and ANOVA was used for multigroup difference analysis. Dunn’s multiple comparisons for one-way ANOVA and Fisher’s least signicant difference (LSD) for two-way ANOVA were used. The level of significance was set at *p < 0.05, **p < 0.01, ***p < 0.001. Correlations between miR-802 expression and BMI of individuals were performed by linear regression. Data were expressed as ± SD or ± SEM. Graphpad prism 7 was used for all calculation.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
This work was supported by National Natural Science Foundation of China (Grant No. 81570696); Supported by sponsored by Qing Lan Project; supported by grants from the “111” project (B16046); Supported by ministry of Science and Technology of China (2018ZX09201018-005 to X.F.); Supported by National Natural Science Foundation of China (81970561, 81570527 and 91540113 to X.F.).
Source data
Author contributions
F.F.Z, D.S.M, W.L.Z, D.W.W, T.S.L, Y.H.L, Y.Y, Y.L, J.M.M., and B.B.L performed the experiments; Y.F.Z, Y.P, C.Y.G, H.D., and L.L analyzed data; F.F.Z, X.H.F, Z.Y.C., and L.J designed the project, interpreted the data and wrote the manuscript.
Data availability
All relevant data supporting the key findings of this study are available within the article and its Supplementary Information files or from the corresponding author upon reasonable request. The source data underlying Fig. 1c–i, 2a–g, 2j–l, 3a–j, 3l–q, 4a–k, 4m, 5–7, 8a–i, 8m–p and Supplementary Figs. 1a-f, 1k, 2a-b, 2d, 2f, 2j, 3a-c, 3k-l, 3m-t 4a-c, 4k-n, 4p-q, 5a-d, 6d-g, 7a-c, 8a-c, 8e-h are provided as a Source Data file. The RNA-seq raw data that support the findings of this study has been deposited in the NCBI’s Sequence Read Archive (SRA) database (PRJNA577478 [https://www.ncbi.nlm.nih.gov/bioproject/PRJNA577478/], and PRJNA577480 [https://www.ncbi.nlm.nih.gov/bioproject/PRJNA577480/]). A reporting summary for this article is available as a Supplementary Information file.
Competing Interest
The authors declare no competing interests.
Footnotes
Peer review information Nature Communications thanks Albert Salehi, Masato Ohtsuka, Sang Geon Kim and the other anonymous reviewer(s) 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.
Contributor Information
Xianghui Fu, Email: xfu@scu.edu.cn.
Zhengyu Cao, Email: zycao1999@hotmail.com.
Liang Jin, Email: ljstemcell@cpu.edu.cn.
Supplementary information
Supplementary information is available for this paper at 10.1038/s41467-020-15529-w.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All relevant data supporting the key findings of this study are available within the article and its Supplementary Information files or from the corresponding author upon reasonable request. The source data underlying Fig. 1c–i, 2a–g, 2j–l, 3a–j, 3l–q, 4a–k, 4m, 5–7, 8a–i, 8m–p and Supplementary Figs. 1a-f, 1k, 2a-b, 2d, 2f, 2j, 3a-c, 3k-l, 3m-t 4a-c, 4k-n, 4p-q, 5a-d, 6d-g, 7a-c, 8a-c, 8e-h are provided as a Source Data file. The RNA-seq raw data that support the findings of this study has been deposited in the NCBI’s Sequence Read Archive (SRA) database (PRJNA577478 [https://www.ncbi.nlm.nih.gov/bioproject/PRJNA577478/], and PRJNA577480 [https://www.ncbi.nlm.nih.gov/bioproject/PRJNA577480/]). A reporting summary for this article is available as a Supplementary Information file.