Abstract
Abdominal aortic aneurysm (AAA) is a lethal disease, but no beneficial therapeutic agents have been established to date. Previously, we found that AAA formation is suppressed in microRNA (miR)-33-deficient mice compared with wild-type mice. Mice have only one miR-33, but humans have two miR-33 s, miR-33a and miR-33b. The data so far strongly support that inhibiting miR-33a or miR-33b will be a new strategy to treat AAA. We produced two specific anti-microRNA oligonucleotides (AMOs) that may inhibit miR-33a and miR-33b, respectively. In vitro studies showed that the AMO against miR-33b was more effective; therefore, we examined the in vivo effects of this AMO in a calcium chloride (CaCl2)-induced AAA model in humanized miR-33b knock-in mice. In this model, AAA was clearly improved by application of anti-miR-33b. To further elucidate the mechanism, we evaluated AAA 1 week after CaCl2 administration to examine the effect of anti-miR-33b. Histological examination revealed that the number of MMP-9-positive macrophages and the level of MCP-1 in the aorta of mice treated with anti-miR-33b was significantly reduced, and the serum lipid profile was improved compared with mice treated with control oligonucleotides. These results support that inhibition of miR-33b is effective in the treatment for AAA.
Subject terms: Drug discovery, Cardiology, Medical research
Introduction
The majority of aortic aneurysms in adults are essentially asymptomatic, but the risk of rupture increases as the diameter of the aneurysm increases1. Of these, abdominal aortic aneurysms (AAA) have a reported incidence of 1.5 to 2 per 1,000 people per year in the United States2. Currently, surgical treatment is considered preferable3, whereas treatment with various drugs such as beta-blockers4, angiotensin-converting enzyme inhibitors5, and calcium channel blockers6 are being investigated. However, large-scale randomized controlled trials using these drugs have not shown clear effects. Therefore, the development of therapeutic agents that can inhibit the expansion of aortic aneurysms is of great significance.
Using genetically engineered mice, we previously found that the absence of microRNA (miR)-33 suppressed AAA progression via several anti-inflammatory pathways7. Therefore, we decided to use these data to develop a new therapeutic agent for aortic aneurysms. Nucleic acid medicine has been attracting attention as a new therapeutic agent for hereditary and refractory diseases that have been difficult to treat8,9. In the development of conventional oligonucleotide therapeutics, there have been problems with stability and efficacy in vivo10, but advances in modified nucleic acid technology11 and Drug Delivery System technology12 have changed this situation, and candidates that are highly effective not only after local administration but also after systemic administration are being developed13. Oligonucleotide therapeutics are expected to have high specificity and efficacy similar to antibody drugs and can be produced by chemical synthesis similar to small molecule drugs10. In fact, oligonucleotides are designed based on the target RNA sequence, and highly effective oligonucleotides can be obtained in a short time13.
In rodents, there is only one miR-33 (miR-33a) in the intron of sterol regulatory element binding transcription factor 2 (Srebf2), but in humans, in addition to miR-33a, there is another miR-33 (miR-33b) in the intron of SREBF1. In this study, we developed bridged nucleic acid-modified anti-microRNA oligonucleotides (AMOs) that individually target miR-33a and miR-33b, which differ by only two bases. As a result, we showed that it is possible to target aortic aneurysms and large blood vessels and elucidated its mechanism of action in detail using humanized miR-33b knock-in (KI) mice.
Results
miR-33b KI mice showed severe calcium chloride-induced AAA formation
Previously, we created a calcium chloride (CaCl2)-induced AAA model in miR-33-deficient (miR-33a−/− miR-33b−/−) and wild-type (WT) mice (miR-33a+/+ miR-33b−/−) and found that AAA formation was suppressed in miR-33-deficient mice7. This indicated that the amount of miR-33 is related to the worsening of AAA. In the present study, we investigated the effects of miR-33a and miR-33b on AAA in order to clarify the pathogenesis in humans. We previously generated miR-33b KI mice (miR-33a+/+ miR-33b+/+), which have human miR-33b in intron 16 of Srebf114. miR-33b KI mice have both miR-33a and miR-33b as in humans. In these mice, miR-33b is physiologically co-expressed with Srebf1. We next crossed miR-33a knock-out (KO) mice with miR-33b KI mice to generate mice with only miR-33b (KOKI) (miR-33a−/− miR-33b+/+)15. Then, we compared the severity of CaCl2-induced AAA formation16 in the WT, KOKI, and KI mouse lines. As shown in Fig. 1a,b, the diameter of the aorta was significantly increased in KOKI mice and further increased in KI mice compared with WT mice. In addition, the lesion length of the aorta in KI mice was significantly larger than that in KOKI and WT mice. Next, we measured the copy numbers of miR-33a and miR-33b in 1 µg of total RNA of the aorta (Fig. 1c). As expected, only miR-33a was present in WT mice and only miR-33b was present in KOKI mice. miR-33b levels were higher than miR-33a in KI mice. The copy numbers of both miR-33a and miR-33b increased after AAA formation in all mice, but the total copy number of miR-33a and miR-33b was significantly increased in KOKI compared with WT mice and was further increased in KI mice. In other words, the amount of miR-33 was related to the deterioration of AAA in these genetically modified mice.
Generation and selection of specific AMOs against miR-33a and miR-33b
We have generated luciferase reporter constructs (Fig. 2a) that had complementary sequences to miR-33a and miR-33b and designated them as miR-33a perfect match (miR-33a PM) and miR-33b PM, respectively. As a control, we utilized the empty vector that had neither sequence. As shown in Fig. 2b, reduction of luciferase activities in HepG2 cells transfected with miR-33a PM or miR-33b PM compared with the empty vector was achieved with the presence of endogenous miR-33a or miR-33b in HepG2 cells. Then, we tried to observe whether the luciferase activities changed in accordance with the different levels of intracellular miR-33a or miR-33b. For this purpose, we transduced different levels of miR-33a mimic or miR-33b mimic (33a mimic or 33b mimic) into HepG2 cells harboring either miR-33a PM or miR-33b PM. As indicated in Fig. 2c, luciferase activities were reduced when miR-33a PM or miR-33b PM were co-transfected with 33a mimic or 33b mimic, respectively. However, these changes in luciferase activity were small when miR-33a PM was expressed simultaneously with miR-33b mimic or when miR-33b PM was expressed simultaneously with miR-33a mimic. These results indicated that miR-33a PM and miR-33b PM specifically bind to miR-33a mimic and miR-33b mimic. Next, we measured the activities of the AMOs, anti-miR-33a and anti-miR-33b oligonucleotides using the increase in luciferase activity after transfection of these oligonucleotides into HepG2 cells harboring miR-33a PM or miR-33b PM. We generated 6 different anti-miR-33a oligonucleotides and 6 anti-miR-33b oligonucleotides, as shown in Supplementary Table S1 online. To increase the binding affinity of these to miR-33a and miR-33b, amido-bridged nucleic acids (AmNAs) were used for the synthesis of AMOs17,18. As a control, we generated a control AmNA containing a random sequence. The changes in luciferase activity in HepG2 cells transfected with 1 nM and 10 nM anti-miR-33a or anti-miR-33b oligonucleotides are indicated in Fig. 2d. The results showed that the AMOs 33a-1[16] and 33a-2[12] acted specifically on miR-33a, and 33b-1[16] and 33b-2[12] acted specifically on miR-33b. For ease of synthesis, we decided to use 33a-2[12] and 33b-2[12] in the following experiments. Next, we measured the levels of miR-33a and miR-33b in HepG2 cells transfected with control oligonucleotides, 33a-2[12] and 33b-2[12] at 5 nM. Transfection of 33a-2[12] and 33b-2[12] specifically reduced the levels of miR-33a and miR-33b, respectively (Fig. 2e). Thus, we designated 33a-2[12] as anti-miR-33a and 33b-2[12] as anti-miR-33b, hereafter.
Anti-miR-33a increases the expression levels of SREBF1 and miR-33b
First, we checked the effects of anti-miR-33a and anti-miR-33b in human cells. When we examined the effects of these AMOs in THP-1-derived macrophages, at steady state and upon TNF treatment, we found that the levels of both miR-33a and miR-33b were decreased with anti-miR-33b, whereas anti-miR-33a markedly increased miR-33b expression (Fig. 2f). We confirmed the expression of SREBF1, the host gene of miR-33b, and ABCA1, the target gene of miR-33a/b. Because SREBF1 was upregulated by anti-miR-33a, we concluded that the upregulation of miR-33b by anti-miR-33a was mediated by the increased expression of SREBF1. This phenomenon did not occur with anti-miR-33b, and changes in the target gene ABCA1 also reflected the amount of total miR-33 after AMO administration (Fig. 2g). The same study was also conducted in other cell types that make up the aorta, such as HASMC and EA.hy926. Similar to THP-1 macrophages, anti-miR-33a showed a marked increase in miR-33b expression, whereas miR-33a and miR-33b were decreased in anti-miR-33b in these cells (Fig. 2h). The results were similar in experiments using peritoneal macrophages, aortic vascular smooth muscle cells, and aortic endothelial cells in miR-33b KI mice (Supplementary Fig. S1 online).
Anti-miR-33b ameliorated AAA formation in humanized miR-33b KI mice
We examined the effects of anti-miR-33b in a CaCl2-induced mice model of AAA using humanized miR-33b KI mice. In this model, the copy numbers of both miR-33a/b increased, with a peak at 1 week, but most of the increase was in miR-33b (Fig. 3a). Copy numbers of miR-33a and miR-33b were also measured in human aortic aneurysm samples, and similarly, miR-33b copy numbers were increased especially in the center of the aortic aneurysm (Supplementary Fig. S2 online). We subcutaneously injected anti-miR-33b, or control oligonucleotides containing AmNA (Control AmNA, as shown in Supplementary Table S1) at a concentration of 10 mg/kg/week just before and after treatment with CaCl2 for 6 weeks (Fig. 3b). There was no difference in body weight among the 2 groups (Fig. 3c). As shown in Fig. 3d,e, treatment with anti-miR-33b significantly reduced the diameter and lesion length of the aorta compared with the control AmNA. When we measured the relative levels of miR-33a and miR-33b among these samples, miR-33a showed a downward trend, whereas miR-33b expression was significantly decreased in mice treated with anti-miR-33b (Fig. 3f). Notably, total miR-33 copy number (copy number of miR-33a and miR-33b) per 1 µg of total RNA was significantly reduced in mice treated with anti-miR-33b compared with the control group (Fig. 3f).
Anti-miR-33b ameliorated AAA formation even in the acute phase of AAA formation in miR-33b KI mice
In a previous experiment, inflammatory reactions had subsided by 6 weeks after operation (data not shown). Therefore, we observed the effect of anti-miR-33b at 1 week after surgery. We subcutaneously injected anti-miR-33b at 10 mg/kg before, just after, and 3 days after operation, and then analyses were conducted at 1 week (Fig. 4a). There was no difference in body weight among the groups (Fig. 4b). As shown in Fig. 4c,d, the diameter and length of AAA were significantly smaller in the mice treated with anti-miR-33b compared with those treated with the control AmNA. These results were consistent with those analyzed at 6 weeks after operation. The relative amount of miR-33a and miR-33b was significantly suppressed by anti-miR-33b compared with the control AmNA at 1 week after surgery. Notably, total miR-33 copy number was significantly reduced in mice treated with anti-miR-33b, as observed in the analysis at 6 weeks after surgery (Fig. 4e). Furthermore, the level of Abca1, the main target of miR-33a and miR-33b, was increased in mice treated with anti-miR-33b, and the levels of Srebf1 and Srebf2 were consistent with the amounts of miR-33b and miR-33a in Fig. 4e,f. The serum profile of AMO-treated miR-33b KI AAA mice in the 1-week analysis is shown in Fig. 4g. Serum triglyceride level was reduced and serum HDL-C level was increased in mice treated with anti-miR-33b. These results indicated that anti-miR-33b acted protectively against AAA in the acute to subacute phase.
Histological changes in the aorta after treatment with AMOs against miR-33b
As shown in Fig. 5a, hematoxylin and eosin staining indicated a smaller aorta diameter in mice treated with anti-miR-33b. Elastica van Gieson staining showed fragmentation of the elastic layers of the aorta in samples treated with the control AmNA. A wavy form of the elastic layers remained in mice treated with anti-miR-33b. The maximum diameter of AAA and elastin degradation score19 were improved in mice treated with anti-miR-33b compared with those treated with the control AmNA (Fig. 5b,c).
Macrophage accumulation and matrix metalloproteinase expression levels were lower in aortic samples treated with anti-miR-33b in miR-33b KI mice
Next, we performed immunohistochemical analysis on the aortas in mice treated with anti-miR-33b or the control AmNA. As shown in Fig. 6a, although matrix metalloproteinase (MMP) 9- and CD68-positive cells accumulated in the aorta of mice treated with the control AmNA, such accumulation was suppressed in mice treated with anti-miR-33b. As shown in Fig. 6b, the number of CD68- and MMP9-positive cells was significantly lower in mice treated with anti-miR-33b than in mice treated with the control AmNA. Low magnification images of immunofluorescence staining for CD68, MMP9, and 4',6-diamidino-2-phenylindole (DAPI) are shown in Supplementary Fig. S3 online. Moreover, the mRNA expression levels of Mmp9 and Jnk1 showed similar patterns to the accumulation of CD68-positive cells (Fig. 6c). MMP9 and MMP2 activities in the aortas of mice treated with AMOs were examined using gelatin zymography, and MMP9 and MMP2 activities were significantly lower in mice treated with anti-miR-33b than in mice treated with the control AmNA (Fig. 6d and Supplementary Fig. S4 online). Phosphorylated c-Jun N-terminal kinases (JNKs)/total JNKs in aortas were significantly lower in mice treated with anti-miR-33b than in mice treated with control AmNA (Fig. 6e and Supplementary Fig. S4 online).
Monocyte chemotactic protein-1 and other cytokines expressions were lower in aortic samples treated with anti-miR-33b in miR-33b KI mice
As indicated in Fig. 7a, monocyte chemotactic protein-1 (MCP-1) was preferentially expressed in α-smooth muscle actin (αSMA)-positive cells in mice treated with control AmNA. MCP-1-positive areas and serum MCP-1 levels were significantly lower in mice treated with anti-miR-33b than in control AmNA-treated mice (Fig. 7b). Furthermore, serum tumor necrosis factor α (TNF-α) levels were significantly lower in mice treated with anti-miR-33b than in mice treated with control AmNA (Fig. 7c). Low magnification images of immunofluorescence staining of MCP-1, αSMA, and DAPI are shown in Supplementary Fig. S5 online. It was previously reported that inhibition of miR-33 altered macrophage metabolism, resulting in a shift of macrophage polarity to M2 and exerting anti-inflammatory effects20. Therefore, we have examined the polarization of macrophages using the anti-miR-33b-treated aorta samples. The results showed that anti-miR-33b induced a shift of macrophages to M2 (Fig. 7d), similar to a previous paper20.
Anti-inflammatory effects were observed in CaCl2-induced AAA samples in anti-miR-33b-treated miR-33b KI mice
RNA-seq analysis was performed on the aortas of miR-33b KI AAA mice treated with AMOs. First, the data were presented on the relationship between the original gene expression levels and the increase or decrease in gene expression with anti-miR-33b (Fig. 8a). Next, the data were presented on the increase or decrease in gene expression for each gene function. The expression of a group of genes that trigger inflammatory responses was suppressed by anti-miR-33b. On the other hand, the expression levels of genes with anti-inflammatory effects, such as interleukin (IL)-1 receptor antagonist (IL-1rn), were upregulated in anti-miR-33b-treated miR-33b KI AAA mice (Fig. 8b). In pathway enrichment analysis, changes in inflammation and lipid pathways were observed: the gene clusters comprising the TNF signaling pathway were downregulated in anti-miR-33b-treated miR-33b KI AAA mice (Fig. 8c). Moreover, the target genes of miR-33 whose gene expression was increased by anti-miR-33b were identified by RNA-seq, and the results were further confirmed by qPCR (Supplementary Fig. S6a,b online). As expected, Prkaa1, Cpt1a, Crot, and Hadhb were upregulated in anti-miR-33b-treated aorta samples21,22. All of these are the direct targets of miR-33 and it is likely that these changes are enhancing fatty acid oxidation, leading to M2 macrophage polarization and a reduced inflammatory response20. Our experimental results indicated that severe inflammation is induced in AAA formation. In this situation, the expression of Srebf1 and miR-33b was increased, and the expression of Abca1, a target gene of miR-33b, was decreased. Therefore, intracellular cholesterol increases resulted in a further increase in Srebf1 via LXR transcriptional activation. Furthermore, it is known that Srebf1 promotes the production of IL-123,24. These changes are thought to form a vicious cycle that leads to advanced AAA formation. When anti-miR-33b was administered, the amount of miR-33b was suppressed, and thus the vicious cycle caused by miR-33b does not occur. Furthermore, the total amount of miR-33 was reduced and the Abca1 level was increased, thereby suppressing aortic inflammation. At the same time, the amount of intracellular cholesterol was reduced and Srebf1 further suppressed. Improved lipid profile such as HDL-C elevation and TG reduction can both have an additional anti-inflammatory effect. These findings suggested that anti-miR-33b treatment results in the suppression of AAA (Fig. 8d).
Discussion
In this study, we obtained the following results. 1. In experiments using genetically modified mice, WT mice with only miR-33a, KOKI mice with only miR-33b15, and mice with both miR-33a and miR-33b14 were subjected to aneurysm formation using the CaCl2 method16, and the mice deteriorated progressively in proportion to the total amount of miR-33. 2. We created 12-base AMOs (anti-miR-33a and anti-miR-33b) specific for miR-33a and miR-33b, respectively, which were able to inhibit miR-33a and miR-33b individually in in vitro experiments. 3. Anti-miR-33b treatment markedly improved aortic aneurysm induced using the CaCl2 method compared with a control AMO.
In the CaCl2-induced AAA model of genetically engineered mice, AAA formation was worse in mice expressing only miR-33b (KOKI) than in wild-type mice with only miR-33a (WT). Furthermore, KI mice expressing both miR-33a and miR-33b showed more severe AAA formation than mice expressing only miR-33b (KOKI). The total miR-33 copy number increased in the order WT, KOKI, and KI, and the majority of the increase was in miR-33b. This suggested that miR-33b has a significant effect on aortic aneurysm formation.
For in vitro experiments, human cell lines that were thought to be major cell types of AAA indicated that the levels of SREBF1 and total miR-33 copy numbers increased and the levels of ABCA1 decreased after treatment with anti-miR-33a. On the contrary, the expression levels of SREBF1 and total miR-33 copy numbers decreased and the expression levels of ABCA1 increased with anti-miR-33b treatment in these human cell lines (Fig. 2f,g). Similar results were shown in peritoneal macrophages, aortic vascular muscle cells, and aortic endothelial cells in miR-33b KI mice (Supplementary Fig. S1a,b online). However, the exact mechanism of these responses in cells treated with anti-miR-33a is currently unknown and needs to be elucidated in the future. It is known that ABCA1 has anti-inflammatory effects25,26 and SREBF1 has potency for the induction of IL-1β23,24. Based on the above, we planned to conduct comparison experiments between anti-miR-33b and control AmNA to investigate the effect of anti-miR-33b on a CaCl2-induced AAA murine model in detail.
In the model that we used, both miR-33a and miR-33b increased during the 6 weeks of aortic aneurysm formation, with a peak at 1 week, but miR-33b accounted for the majority of the increase when copy number was measured (Fig. 3a), which may be one reason why the effect of anti-miR-33b was so pronounced. In mice treated with anti-miR-33b, there was an increase in serum HDL-C and decreases in serum triglyceride, macrophage accumulation and MMP9 expression, phosphorylated JNK, MCP-1 expression in smooth muscle cells, and in pro-inflammatory cytokine expression in the aorta (Figs. 4, 5, 6 and 7), which was similar to a previous study using genetically modified mice7.
In AAA formation, especially in inflammation-stimulated macrophages, SREBP-1 is activated via processing from the endoplasmic reticulum membrane during the inflammatory response between12 and 24 h after stimulation27. For this reason, the role of SREBP-1 and miR-33b may be even greater in acute inflammation. miR-33b increases intracellular cholesterol levels by decreasing levels of ABCA1, which may further stimulate levels of Srebf1 and miR-33b via activation of LXRs (a vicious circle caused by miR-33b). Srebf1 is known to promote IL-1β production23,24 and may have exacerbated inflammation in AAA formation. On the other hand, in the case of anti-miR-33b treatment, induction of miR-33b was suppressed, suggesting that the vicious cycle caused by miR-33b did not occur in the first place. Furthermore, the decrease in the total amount of miR-33 and the increase in ABCA1 levels may have suppressed inflammation in the aorta. At the same time, intracellular cholesterol levels may have been reduced, which may have further suppressed Srebf1. In addition, an improved serum lipid profile was observed with anti-miR-33b treatment. Elevated HDL-C and reduced TG levels, which may be medicated by increased ABCA1 and decreased SREBF1 respectively, are likely to have an additional anti-inflammatory effect28–33. Therefore, suppression of miR-33b may be effective in the treatment of aortic aneurysms, for which there is currently no clear treatment (Fig. 8c). This hypothesis may be similar to that of mice expressing only miR-33a (WT mice), which showed less AAA formation than mice expressing only miR-33b (KOKI mice).
Furthermore, RNA-seq analysis of AMOs-injected KI AAA mice also showed that gene expression in the TNF signaling pathway was decreased in miR-33b KI AAA mice injected with anti-miR-33b (Fig. 8a–c). miR-33b KI AAA mice injected with anti-miR-33b showed increased expression of genes with anti-inflammatory effects, such as IL-1rn, which supports the above idea. To further clarify why the inflammatory pathway is suppressed by anti-miR-33b in this experiment, we have also examined the polarization of macrophages using post-treatment aorta samples. The results showed that anti-miR-33b induced a shift in macrophages to M2 (Fig. 7d), similar to a previous paper20. Moreover, Prkaa1, Cpt1a, Crot, and Hadhb expression levels were increased by treatment with anti-miR-33b (Supplementary Fig. S6b online), which may indicate this polarization of macrophages to the M2 phenotype is caused by increased fatty acid oxidation21,22. Thus, it is possible that changes in macrophage metabolism may work to suppress macrophage inflammation.
In the present study, AmNA was used to generate AMOs because this nucleic acid is known to greatly reduce hepatotoxicity compared with conventional locked nucleic acids17,18. No obvious liver and renal injury was observed in the present study. In our study, the administration of AMOs was started just before the creation of the model to confirm the maximum effect. Therefore, anti-miR-33b may have been able to exert its effect by suppressing inflammation in the acute phase. In clinical cases, treatment of aneurysms that have already progressed to a certain degree is considered to be the main focus. Therefore, it is desirable to be able to confirm the effects in the chronic phase and over a long-term period in an animal model in which the aneurysm diameter expands gradually. Currently, several experimental mouse models of AAA have been reported34–37. Confirmation of the anti-miR-33b AMO effect using another AAA model may be useful for further understanding of the mechanisms. On the other hand, there are currently nucleic acid drugs for dyslipidemia that have shown efficacy when administered once every 6 months38–40. If the anti-miR-33b used in the present study was also found to have long-term effects, it may be developed as a drug that is closer to clinical application.
The development of a new treatment for aortic aneurysms, for which no clear treatment has been established at present, is an urgent issue. This study suggests that suppression of miR-33b may be effective in the treatment of AAA, perhaps by a mechanism that suppresses inflammation through changes in intracellular metabolism. The efficacy of anti-miR-33b in clinical cases should be investigated in the future.
Methods
Animals
miR-33b knock-in (KI) mice were generated as described previously14. miR-33a knockout miR-33b knock-in mice (KOKI) were described previously15. WT littermates were used as controls. Every strain used had the C57BL/6J background. For the CaCl2-induced AAA model, periaortic application of CaCl2 was performed as described previously16. Briefly, 8-week-old male mice were anesthetized (intraperitoneal injection of three types of mixed anesthetic agents: medetomidine 0.3 mg/kg body weight at a concentration of 1.0 mg/mL; midazolam 4.0 mg/kg body weight at a concentration of 5.0 mg/mL; and butorphanol 1.0 mg/kg body weight at a concentration of 5.0 mg/mL) and underwent laparotomy. The abdominal aorta between the renal arteries and the bifurcation of the iliac arteries was isolated from the surrounding retroperitoneal structures. Then, 0.5 mol/L CaCl2 was applied to the external surface of the aorta. Saline was substituted for CaCl2 in sham control mice. After 20 min, the abdominal aorta was rinsed with saline and the incision was closed. AAA diameter was assessed 1 week or 6 weeks after the procedure.
All mice were maintained in specific-pathogen-free laboratories at Kyoto University Graduate School of Medicine. This investigation was performed with the approval of the Kyoto University Ethics Review Board. All mice received humane care in accordance with the ARRIVE (Animal Research: Reporting of In Vivo Experiments) guidelines developed by the National Centre for the Replacement, Refinement, and Reduction of Animals in Research. All methods were carried out in accordance with relevant guidelines and regulations. Every effort was made to minimize animal suffering and to reduce the number of mice used.
Human AAA samples
This investigation was performed with the approval of the Kyoto University Ethics Review Board. Tissue samples were collected from patients who underwent open surgery for AAA between 2017 and 2018. Tissue samples were taken from the anterior wall of the aneurysm body in a cord-like fashion from the normal border region to the largest enormous area.
All protocols conformed to the ethical guidelines of the Declaration of Helsinki and samples were obtained after receiving written informed consent.
Cell culture and reagents
THP-1 cells (TIB-202™, ATCC) were cultured in RPMI1640 (Nacalai Tesque) containing 10% fetal bovine serum (FBS). THP-1 macrophages were transformed into macrophages by incubation for 3 days with 100 nM PMA (Nacalai Tesque). HASMC cells (purchased from KURABO Bio-Medical, KS-4009) were cultured in HuMedia-SG2 (KS-2170S, KURABO Bio-Medical). EA.hy926 cells (CRL-2922™, ATCC) were cultured in Dulbecco’s modified Eagle’s medium (DMEM; Nacalai Tesque, Japan) supplemented with 10% FBS.
miR-33b KI mouse peritoneal macrophages were obtained from the peritoneal cavity of mice 4 days after intraperitoneal injection of 3 mL of 3% thioglycollate. The cells obtained were washed, spun at 1000 rpm for 5 min, and plated in RPMI1640 containing 10% FBS. miR-33b KI mouse smooth muscle cells and aortic endothelial cells were isolated using the established method41. Briefly, the aorta of mice was surgically isolated and rinsed with phosphate-buffered saline (PBS) containing 1000 U/mL heparin (FUJIFILM Wako Special Grade) and immersed in 20% FBS-DMEM containing 1000 U/mL heparin. The connecting tissue was quickly removed with the use of a stereoscopic microscope. The inside of the aortic lumen was washed with serum-free DMEM, filled with 2 mg/mL type II Collagenase (CLS2, Worthington), and incubated at 37 °C for 45 min. Endothelial cells were removed by flushing with 5 mL 20% FBS-DMEM and collected by centrifuging at 1200 rpm for 5 min. The cells were then suspended gently with 20% FBS-DMEM and seeded in type I collagen-coated 35 mm dishes. The cleaned aorta was cut into 2 mm rings and immediately placed in 10% FBS-DMEM. The samples were immediately transferred to serum-free DMEM with 2 mg/mL type II Collagenase and incubated at 37 °C for 2 h. Smooth muscle cells were collected by centrifuging at 1200 rpm for 5 min and maintained in 10% FBS-DMEM.
For AMO transfection into THP-1 macrophages, HASMC, EA.hy926, mouse peritoneal macrophages, mouse vascular smooth muscle cells, and mouse aortic endothelial cells, Lipofectamine™ RNAiMAX Transfection Reagent (Thermo Fisher Scientific, Japan) was used in accordance with the manufacturer’s instructions.
Screening for AMOs against miR-33a and miR-33b
As shown in Supplementary Table S1 online, we designed 6 different anti-miR-33a oligonucleotides and 6 anti-miR-33b oligonucleotides containing AmNA17,18. These anti-miR-33a or anti-miR-33b oligonucleotides were purchased from GeneDesign (Osaka, Japan). To assess the inhibition efficacy and specificity, we constructed two reporter vectors harboring miR-33a/miR-33b perfect match sequences using psiCHECK2-let-7 8 × (https://www.addgene.org/20931). We transfected these constructs with AMOs into HepG2 (HB-8065™, ATCC) cells at the indicated concentrations using Lipofectamine 2000. After incubation for 24 h, the luciferase activities were measured using a PicaGeneR Dual SeaPansy™ Luminescence Kit (TOYOBO).
Administration of AMOs against miR-33b and control AmNA
Eight-week-old male miR-33b KI mice were utilized for examinations. For analysis after 6 weeks, AMOs at 10 mg/kg body weight were administered the day before and the next day after operation, and once a week for 6 weeks from that point. These mice were analyzed 1 week after the last administration. For analysis after 1 week, AMOs were administered on the day before and the next day after, and 3 days after operation. AMOs were injected subcutaneously into the posterior region of the neck.
Serum biochemical analysis
Blood was obtained from the inferior vena cava of anesthetized mice, and serum was separated by centrifugation at 4 °C and stored at -80 °C. Employing standard methods, biochemical measurements were made using a Hitachi 7180 Auto Analyzer (Nagahama Life Science Laboratory, Nagahama, Japan).
RNA extraction and quantitative real-time PCR
Total RNA was isolated and purified using Tripure Isolation Reagent (Roche), and cDNA was synthesized from 1 µg of total RNA using a Verso cDNA Synthesis Kit (Thermo Fisher) in accordance with the manufacturer’s instructions. For quantitative RT-PCR, specific genes were amplified using 40 cycles with THUNDERBIRD SYBR qPCR Mix (TOYOBO). Products were analyzed using StepOnePlus (Applied Biosystems). Expression was normalized to the housekeeping gene β-actin or 18S. Gene-specific primers are listed in Supplementary Table S2 online.
Quantitative PCR for microRNAs
miR-33a and miR-33b were measured using TaqMan MicroRNA assay protocols (Applied Biosystems). Products were analyzed using StepOnePlus (Applied Biosystems). miR expression in samples were normalized using U6 snRNA expression.
Protein extraction and western blotting
Mice were perfused with cold PBS at physiological pressure, and aortic specimens were dissected using microscissors. Western blotting was performed using standard procedures as described previously42. Lysis buffer containing of 100 mmol/L Tris–HCl, 75 mmol/L NaCl, and 1% Triton X-100 (Nacalai Tesque) at pH 7.4 was supplemented with Complete mini protease inhibitor (Roche), ALLN (25 µg/mL), 0.5 mM NaF, and 10 mM Na3VO4 just prior to use. Protein concentrations were determined using a bicinchoninic acid protein assay kit (Bio-Rad). All samples (20 µg of protein) were suspended in lysis buffer, fractionated using NuPAGE 4–12% Bis–Tris (Invitrogen) gels, and transferred to a Protran nitrocellulose transfer membrane (Whatman). The membrane was blocked using 1 × PBS containing 5% non-fat milk for 1 h and incubated with a primary antibody [anti-phospho-SAPK/JNK (1:1000; #9251, Cell Signaling), anti-SAPK/JNK (1:1000; #9252, Cell Signaling), anti-GAPDH (1:3000; #2118S, Cell Signaling)] overnight at 4 °C. After washing with PBS-0.05% Tween 20 (0.05% T-PBS), the membrane was incubated with the secondary antibody (anti-rabbit IgG horseradish peroxidase-linked; 1:2000) for 1 h at 4 °C. The membrane was then washed with 0.05% T-PBS and detected with an ECL Western Blotting Detection Reagent (GE Healthcare) using an Amersham Imager 680 (GE Healthcare).
Gelatin zymography
Gelatin zymography was performed using a Gelatin-Zymography Kit (PMC-AK45-COS; Cosmo Bio, Japan) in accordance with to the manufacturer’s directions. The results were evaluated using densitometric analysis of the lytic areas obtained from the gelatin electrophoresis using ImageJ software (ver. 1.52a; National Institutes of Health).
Tumor necrosis factor-α and monocyte chemotactic protein-1 enzyme-linked immunosorbent assay
Analysis was performed with 50 µL of mice serum concentrations of TNF-α and MCP-1 determined using a Quantikine ELISA kit (MTA00B; R&D Systems) in accordance with the manufacturer’s instructions.
Immunohistochemistry
Mice were sacrificed using intraperitoneal injection of a sufficient amount of the mixed anesthetic agents and perfused with PBS and subsequently with 4% paraformaldehyde (WAKO, Japan) at physiological pressure. Then, aortic specimens were dissected, rinsed with cold PBS and immediately frozen in OCT compound on a block of dry ice. Sections (10 mm) were cut from the specimens. The frozen sections were washed three times with 0.05% PBS-T then covered with anti-CD68 antibody (1:200; MCA 1957, Serotec), anti-MMP9 antibody (1:50; AF909, R&D), anti-MCP-1 antibody (1:50; ab25124, abcam) or anti-αSMA antibody (1:200; 1A4, Sigma-Aldrich), and incubated at 4 °C overnight. The sections were washed three times with PBS-T and incubated with anti-rat secondary antibody for 30 min at room temperature. Then, the sections were rinsed again three times with PBS-T and covered with mounting medium with DAPI (H-1200, Vectashield). The positively stained areas of each aorta were measured using a digital fluorescence microscope (ZEISS ZEN Imaging Software). The number of immunoreactive cells was calculated using 5 different fields at magnification of × 50.
RNA sequencing analysis
For RNA-seq, total RNA was isolated using Tripure Isolation Reagent (Roche) and purified using NucleoSpin RNA Plus (#740984.50, Macherey–Nagel). Sample preparation, normalization and sequence analysis were requested to DNA Chip Research Inc. (Tokyo, Japan).
Statistics
Results are given as mean ± standard error of the mean (SEM). Distributions of all variables were tested using the Kolmogorov–Smirnov test. Equal variance between groups was tested using the F test. If the data were nonnormally distributed, t test with Welch’s correction was used. Mann–Whitney test was used in nonparametric data. One-way analysis of variance (ANOVA) and two-way ANOVA followed by Holm–Sidak’s multiple comparison test for the pairwise comparison test and Dunnett’s multiple comparison test for the versus control test were used for one-factorial experiments. A probability value of < 0.05 was considered statistically significant. Statistical analyses were conducted using Prism 8 (GraphPad Software, Inc. USA).
Supplementary Information
Acknowledgements
This work was supported by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) and Japan Society for the Promotion of Science (JSPS) KAKENHI Grants 17K09860 and 20K08904 (T.H.), 1605297 (T.K.), 17H04177, 17H05599, and 20H03675 (K.O.). This work was also supported by AMED under grant JP19fk0210112, 21ym0126013h0001, and 22ym0126074h0001 (K.O.), as well as grants from the Mochida Memorial Foundation for Medical and Pharmaceutical Research, Suzuken Memorial Foundation, Bristol Myers Squibb, Fujiwara Memorial Foundation (T.H.) and The Vehicle Racing Commemorative Foundation (K.O.).
Abbreviations
- AAA
Abdominal aortic aneurysm
- ABCA1
ATP binding cassette transporter A1
- ALT
Alanine aminotransferase
- AMO
Anti-microRNA oligonucleotide
- AmNA
Amido-bridged nucleic acid
- ANOVA
Analysis of variance
- AST
Aspartate transaminase
- CaCl2
Calcium chloride
- CRE
Creatinine
- DAPI
4',6-Diamidino-2-phenylindole
- DMEM
Dulbecco’s modified Eagle’s medium
- EC
Endothelial cell
- EVG
Elastica van Gieson
- FBS
Fetal bovine serum
- HDL-C
High-density lipoprotein cholesterol
- HE
Hematoxylin–eosin
- IL
Interleukin
- JNK
C-Jun N-terminal kinase
- KI
Knock-in
- KO
Knock-out
- KOKI
Knock-out, knock-in
- LDL-C
Low-density lipoprotein-cholesterol
- MCP-1
Monocyte chemotactic protein-1
- miR
MicroRNA
- MMP
Matrix metalloproteinase
- PBS
Phosphate-buffered saline
- PM
Peritoneal macrophage
- SEM
Standard error of the mean
- αSMA
α-smooth muscle actin
- SREBF
Sterol regulatory element-binding transcription factor
- T-BIL
Total bilirubin
- T-CHO
Total cholesterol
- TG
Triglycerides
- TNFα
Tumor necrosis factor α
- VSMC
Vascular smooth muscle cell
- WT
Wild-type
Author contributions
T.Y., T.H. and K.O. designed the project; T.Y., T.H., S.K., T.N., O.B., M.K. and N.S. performed experiments; T.Y., T.H., S.K., K.S., K.Y., S.O., Y.K., J.K., K.O., R.F., T.S., A.T., K.H., K.M., T.K. and K.O. analyzed and interpreted data; and T.Y., T.H. and K.O. prepared the manuscript.
Data availability
The data underlying this article will be shared on reasonable request to the corresponding author. The datasets generated and analyzed during the current study are available in the DDBJ Sequence Read Archive repository (https://trace.ddbj.nig.ac.jp/) under the Accession number DRA013651 (https://trace.ddbj.nig.ac.jp/D-way/contents/dra/submission_detail?serial=1).
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Takahiro Horie, Email: thorie@kuhp.kyoto-u.ac.jp.
Koh Ono, Email: kohono@kuhp.kyoto-u.ac.jp.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-022-16017-5.
References
- 1.Gadowski GR, Pilcher DB, Ricci MA. Abdominal aortic aneurysm expansion rate: Effect of size and beta-adrenergic blockade. J. Vasc. Surg. 1994;19:727–731. doi: 10.1016/s0741-5214(94)70048-6. [DOI] [PubMed] [Google Scholar]
- 2.Folsom AR, et al. Circulating biomarkers and abdominal aortic aneurysm incidence: The Atherosclerosis Risk in Communities (ARIC) Study. Circulation. 2015;132:578–585. doi: 10.1161/circulationaha.115.016537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Soden PA, et al. Outcomes for symptomatic abdominal aortic aneurysms in the American College of Surgeons National Surgical Quality Improvement Program. J. Vasc. Surg. 2016;64:297–305. doi: 10.1016/j.jvs.2016.02.055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Lindholt JS, Henneberg EW, Juul S, Fasting H. Impaired results of a randomised double blinded clinical trial of propranolol versus placebo on the expansion rate of small abdominal aortic aneurysms. Int. Angiol. 1999;18:52–57. [PubMed] [Google Scholar]
- 5.Sweeting MJ, Thompson SG, Brown LC, Greenhalgh RM, Powell JT. Use of angiotensin converting enzyme inhibitors is associated with increased growth rate of abdominal aortic aneurysms. J. Vasc. Surg. 2010;52:1–4. doi: 10.1016/j.jvs.2010.02.264. [DOI] [PubMed] [Google Scholar]
- 6.Brady AR, Thompson SG, Fowkes FG, Greenhalgh RM, Powell JT. Abdominal aortic aneurysm expansion: Risk factors and time intervals for surveillance. Circulation. 2004;110:16–21. doi: 10.1161/01.Cir.0000133279.07468.9f. [DOI] [PubMed] [Google Scholar]
- 7.Nakao T, et al. Genetic ablation of MicroRNA-33 attenuates inflammation and abdominal aortic aneurysm formation via several anti-inflammatory pathways. Arterioscler. Thromb. Vasc. Biol. 2017;37:2161–2170. doi: 10.1161/atvbaha.117.309768. [DOI] [PubMed] [Google Scholar]
- 8.Finkel RS, et al. Nusinersen versus sham control in infantile-onset spinal muscular atrophy. N. Engl. J. Med. 2017;377:1723–1732. doi: 10.1056/NEJMoa1702752. [DOI] [PubMed] [Google Scholar]
- 9.Cideciyan AV, et al. Effect of an intravitreal antisense oligonucleotide on vision in Leber congenital amaurosis due to a photoreceptor cilium defect. Nat. Med. 2019;25:225–228. doi: 10.1038/s41591-018-0295-0. [DOI] [PubMed] [Google Scholar]
- 10.Crooke ST, Baker BF, Crooke RM, Liang XH. Antisense technology: An overview and prospectus. Nat. Rev. Drug. Discov. 2021;20:427–453. doi: 10.1038/s41573-021-00162-z. [DOI] [PubMed] [Google Scholar]
- 11.Morihiro K, Kasahara Y, Obika S. Biological applications of xeno nucleic acids. Mol. Biosyst. 2017;13:235–245. doi: 10.1039/c6mb00538a. [DOI] [PubMed] [Google Scholar]
- 12.Gökirmak T, et al. Overcoming the challenges of tissue delivery for oligonucleotide therapeutics. Trends Pharmacol. Sci. 2021;42:588–604. doi: 10.1016/j.tips.2021.04.010. [DOI] [PubMed] [Google Scholar]
- 13.Kim J, et al. Patient-customized oligonucleotide therapy for a rare genetic disease. N. Engl. J. Med. 2019;381:1644–1652. doi: 10.1056/NEJMoa1813279. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Horie T, et al. MicroRNA-33b knock-in mice for an intron of sterol regulatory element-binding factor 1 (Srebf1) exhibit reduced HDL-C in vivo. Sci. Rep. 2014;4:5312. doi: 10.1038/srep05312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Koyama S, et al. Identification of differential roles of microRNA-33a and -33b during atherosclerosis progression with genetically modified mice. J. Am. Heart Assoc. 2019;8:e012609. doi: 10.1161/jaha.119.012609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Daugherty A, Cassis LA. Mouse models of abdominal aortic aneurysms. Arterioscler. Thromb. Vasc. Biol. 2004;24:429–434. doi: 10.1161/01.ATV.0000118013.72016.ea. [DOI] [PubMed] [Google Scholar]
- 17.Yahara A, et al. Amido-bridged nucleic acids (AmNAs): Synthesis, duplex stability, nuclease resistance, and in vitro antisense potency. ChemBioChem. 2012;13:2513–2516. doi: 10.1002/cbic.201200506. [DOI] [PubMed] [Google Scholar]
- 18.Yamamoto T, et al. Amido-bridged nucleic acids with small hydrophobic residues enhance hepatic tropism of antisense oligonucleotides in vivo. Org. Biomol. Chem. 2015;13:3757–3765. doi: 10.1039/c5ob00242g. [DOI] [PubMed] [Google Scholar]
- 19.Satoh K, et al. Cyclophilin A enhances vascular oxidative stress and the development of angiotensin II-induced aortic aneurysms. Nat. Med. 2009;15:649–656. doi: 10.1038/nm.1958. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Ouimet M, et al. MicroRNA-33-dependent regulation of macrophage metabolism directs immune cell polarization in atherosclerosis. J. Clin. Invest. 2015;125:4334–4348. doi: 10.1172/jci81676. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ouimet M, et al. Mycobacterium tuberculosis induces the miR-33 locus to reprogram autophagy and host lipid metabolism. Nat. Immunol. 2016;17:677–686. doi: 10.1038/ni.3434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Afonso MS, et al. miR-33 silencing reprograms the immune cell landscape in atherosclerotic plaques. Circ. Res. 2021;128:1122–1138. doi: 10.1161/circresaha.120.317914. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Im S-S, et al. Linking lipid metabolism to the innate immune response in macrophages through sterol regulatory element binding protein-1a. Cell Metab. 2011;13:540–549. doi: 10.1016/j.cmet.2011.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Reboldi A, et al. 25-Hydroxycholesterol suppresses interleukin-1–driven inflammation downstream of type I interferon. Science. 2014;345:679–684. doi: 10.1126/science.1254790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Yvan-Charvet L, et al. Increased inflammatory gene expression in ABC transporter-deficient macrophages. Circulation. 2008;118:1837–1847. doi: 10.1161/CIRCULATIONAHA.108.793869. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Westerterp M, et al. Deficiency of ATP-binding cassette transporters A1 and G1 in macrophages increases inflammation and accelerates atherosclerosis in mice. Circ. Res. 2013;112:1456–1465. doi: 10.1161/CIRCRESAHA.113.301086. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Oishi Y, et al. SREBP1 contributes to resolution of pro-inflammatory TLR4 signaling by reprogramming fatty acid metabolism. Cell Metab. 2017;25:412–427. doi: 10.1016/j.cmet.2016.11.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Ardans JA, Economou AP, Martinson JM, Jr, Zhou M, Wahl LM. Oxidized low-density and high-density lipoproteins regulate the production of matrix metalloproteinase-1 and -9 by activated monocytes. J. Leukoc. Biol. 2002;71:1012–1018. [PubMed] [Google Scholar]
- 29.Barter PJ, et al. Antiinflammatory properties of HDL. Circ. Res. 2004;95:764–772. doi: 10.1161/01.RES.0000146094.59640.13. [DOI] [PubMed] [Google Scholar]
- 30.Murphy AJ, et al. High-density lipoprotein reduces the human monocyte inflammatory response. Arterioscler. Thromb. Vasc. Biol. 2008;28:2071–2077. doi: 10.1161/ATVBAHA.108.168690. [DOI] [PubMed] [Google Scholar]
- 31.Wang L, et al. Triglyceride-rich lipoprotein lipolysis releases neutral and oxidized FFAs that induce endothelial cell inflammation. J. Lipid Res. 2009;50:204–213. doi: 10.1194/jlr.M700505-JLR200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Jacobson TA, et al. National lipid association recommendations for patient-centered management of dyslipidemia: Part 1—full report. J. Clin. Lipidol. 2015;9:129–169. doi: 10.1016/j.jacl.2015.02.003. [DOI] [PubMed] [Google Scholar]
- 33.Liu QK. Triglyceride-lowering and anti-inflammatory mechanisms of omega-3 polyunsaturated fatty acids for atherosclerotic cardiovascular risk reduction. J. Clin. Lipidol. 2021;15:556–568. doi: 10.1016/j.jacl.2021.05.007. [DOI] [PubMed] [Google Scholar]
- 34.Daugherty A, Manning MW, Cassis LA. Angiotensin II promotes atherosclerotic lesions and aneurysms in apolipoprotein E–deficient mice. J. Clin. Investig. 2000;105:1605–1612. doi: 10.1172/JCI7818. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Lareyre F, et al. TGFβ (Transforming Growth Factor-β) blockade induces a human-like disease in a nondissecting mouse model of abdominal aortic aneurysm. Arterioscler. Thromb. Vasc. Biol. 2017;37:2171–2181. doi: 10.1161/ATVBAHA.117.309999. [DOI] [PubMed] [Google Scholar]
- 36.Lu G, et al. A novel chronic advanced stage abdominal aortic aneurysm murine model. J. Vasc. Surg. 2017;66:232–242.e234. doi: 10.1016/j.jvs.2016.07.105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Murali Krishna S, Morton SK, Li J, Golledge J. Risk factors and mouse models of abdominal aortic aneurysm rupture. Int. J. Mol. Sci. 2020;21:7250. doi: 10.3390/ijms21197250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Clark J, Montori V. In patients with ASCVD and elevated LDL-C with maximal statin therapy, inclisiran reduced LDL-C levels at 18 months. Ann. Intern. Med. 2020;173:18. doi: 10.7326/acpj202008180-018. [DOI] [PubMed] [Google Scholar]
- 39.Raal FJ, et al. Inclisiran for the treatment of heterozygous familial hypercholesterolemia. N. Engl. J. Med. 2020;382:1520–1530. doi: 10.1056/NEJMoa1913805. [DOI] [PubMed] [Google Scholar]
- 40.Ray KK, et al. Two phase 3 trials of inclisiran in patients with elevated LDL cholesterol. N. Engl. J. Med. 2020;382:1507–1519. doi: 10.1056/NEJMoa1912387. [DOI] [PubMed] [Google Scholar]
- 41.Kobayashi M, Inoue K, Warabi E, Minami T, Kodama T. A simple method of isolating mouse aortic endothelial cells. J. Atheroscler. Thromb. 2005;12:138–142. doi: 10.5551/jat.12.138. [DOI] [PubMed] [Google Scholar]
- 42.Horie T, et al. MicroRNA-33 regulates sterol regulatory element-binding protein 1 expression in mice. Nat. Commun. 2013;4:2883. doi: 10.1038/ncomms3883. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data underlying this article will be shared on reasonable request to the corresponding author. The datasets generated and analyzed during the current study are available in the DDBJ Sequence Read Archive repository (https://trace.ddbj.nig.ac.jp/) under the Accession number DRA013651 (https://trace.ddbj.nig.ac.jp/D-way/contents/dra/submission_detail?serial=1).