Key Words: ATG7, autophagy, cerebral infarction, cerebral ischemia/reperfusion injury, long non-coding RNA, miR-181c-5p, neuron, oxygen and glucose deprivation/reoxygenation
Abstract
Severe cerebral ischemia/reperfusion injury has been shown to induce high-level autophagy and neuronal death. Therefore, it is extremely important to search for a target that inhibits autophagy activation. Long non-coding RNA MEG3 participates in autophagy. However, it remains unclear whether it can be targeted to regulate cerebral ischemia/reperfusion injury. Our results revealed that in oxygen and glucose deprivation/reoxygenation-treated HT22 cells, MEG3 expression was obviously upregulated, and autophagy was increased, while knockdown of MEG3 expression greatly reduced autophagy. Furthermore, MEG3 bound miR-181c-5p and inhibited its expression, while miR-181c-5p bound to autophagy-related gene ATG7 and inhibited its expression. Further experiments revealed that mir-181c-5p overexpression reversed the effect of MEG3 on autophagy and ATG7 expression in HT22 cells subjected to oxygen and glucose deprivation/reoxygenation. In vivo experiments revealed that MEG3 knockdown suppressed autophagy, infarct volume and behavioral deficits in cerebral ischemia/reperfusion mice. These findings suggest that MEG3 knockdown inhibited autophagy and alleviated cerebral ischemia/reperfusion injury through the miR-181c-5p/ATG7 signaling pathway. Therefore, MEG3 can be considered as an intervention target for the treatment of cerebral ischemia/reperfusion injury. This study was approved by the Animal Ethics Committee of the First Affiliated Hospital of Zhengzhou University, China (approval No. XF20190538) on January 4, 2019.
Chinese Library Classification No. R456; R743; Q522
Introduction
Cerebral ischemia-reperfusion injury (CI/RI) refers to the resumption of blood after a period of cerebral ischemia and usually occurs in the treatment stage of ischemic disease, which can aggravate the damage of brain tissue and even cause irreversible damage (Bai and Lyden, 2015). The pathogenesis of CI/RI is complex and includes apoptosis, oxidative stress, inflammation, and mitochondrial dysfunction (Bai and Lyden, 2015; Wu et al., 2018). Despite the significant amount of research on CI/RI, treating reperfusion injury remains a challenge for clinicians.
Recent studies have found that autophagy is activated during CI/RI (Xu and Zhang, 2011). Autophagy is a biological process that degrades damaged organelles and macromolecules in the cytoplasm through the lysosomal system and is widely involved in physiological and pathological processes (Parzych and Klionsky, 2014). Additionally, autophagy plays an important role in CI/RI. In addition to removing harmful substances and maintaining the stability of nerve cells it leads to nerve cell death (Xu and Zhang, 2011). Autophagy is modulated by evolutionarily conserved autophagy-related genes (ATG), and ATG7 is essential for the formation and closure of autophagosomes (Yu et al., 2018a; Levine and Kroemer, 2019). Knockdown of ATG7 improved the therapeutic effect of drugs by inhibiting autophagy in some diseases, like ovarian cancer and prolonged hypokalemia (Yu et al., 2018b; Kim et al., 2019). Furthermore, He et al. (2016) found that the ATG7 level was increased and autophagy was activated in cell models of CI/RI. However, the exact mechanism of ATG7 in CI/RI is unclear.
Long non-coding RNAs (lncRNAs) have been shown to participate in biological processes through a variety of mechanisms, and are involved in modulating the occurrence and progression of many diseases (Schmitz et al., 2016). In recent years, the abnormal expression of some lncRNAs including maternally expressed gene 3 (MEG3) in CI/RI models has been revealed by RNA-sequencing, deep sequencing, and microarrays techniques (Bao et al., 2018). Yan et al. (2017) found that MEG3 knockdown protected against ischemic damage and ameliorated neurological functions in CI/RI models. Moreover, MEG3 promoted morphine-induced autophagy in mouse hippocampal neuronal cell line HT22 (Gao et al., 2019). Moreover, several studies have demonstrated that MEG3 promoted CI/RI by increasing pyroptosis and that inhibition of MEG3 restored nerve growth and alleviated neurological impairment in CI/RI (You and You, 2019; Liang et al., 2020). Nevertheless, whether MEG3 affects CI/RI by regulating autophagy in neurons has not been reported.
The biological function of lncRNAs is usually relevant to microRNAs, and the interaction between lncRNAs and microRNAs plays important roles in many types of diseases. It has been reported that some lncRNAs can be used as competitive endogenous RNAs to suppress microRNA silencing to target genes during CI/RI. For instance, Cai et al. (2019) demonstrated that knockdown of lncRNA Gm11974 protected against cerebral ischemic reperfusion through NR3C2 by acting as a competitive endogenous RNA of miR-766-3p. Additionally, Guo et al. (2017) reported that inhibition of MALAT1 alleviated neuronal cell death by restraining autophagy via modulating miR-30a in cerebral ischemic stroke. In the current study, we explored the role and mechanism of MEG3 in autophagy in CI/RI.
Materials and Methods
Cell culture and oxygen and glucose deprivation/reoxygenation treatment
HT22 cell line, which had been authenticated by short tandem repeat (STR) markers, was obtained from American Type Culture Collection (Cat# AC337709, Gaithersburg, MD, USA). HT22 cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM) with 10% fetal bovine serum (Gibco, Grand Island, NY, USA) and 1% penicillin-streptomycin (Solarbio, Beijing, China). The cells were cultured at 37°C with 5% CO2. To mimic CI/RI in vitro, the cells were exposed to oxygen and glucose deprivation/reoxygenation (OGD/R) injury, the medium was changed into glucose-free DMEM and the cells were cultured at 37°C in a humidified incubator with 5% CO2 for 2 hours. Then, the glucose-free DMEM was replaced with normal medium. Cells in control group (without any treatment) and OGD/R treatment group (at 12, 24, and 48 hours) were harvested for analyses.
Cell transfection
Si-MEG3, si-NC (control), miR-181c-5p mimic, NC mimic, miR-181c-5p inhibitor, NC inhibitor, pcDNA-3.1, and pcDNA-3.1-MEG3 were synthesized by GenePharma (Shanghai, China). Rapamycin (RAPA; a mammalian target of rapamycin inhibitor) was purchased from Selleck (Cat# 53123-88-9, Houston, TX, USA). HT22 cells were seeded in 24-well plates; when they reached more than 80% confluence, they were transfected with pcDNA3.1/si-NC (100 μM) or co-transfected with MEG3-WT/MEG3-MUT (100 μM) and miR-181c-5p mimic/NC mimic (100 μM) for 48 hours. Lipofectamine 3000 (Invitrogen, Carlsbad, CA, USA) was used as the transfection reagent according to standard protocols. RAPA (200 nM) was added to the cells and cultured for 48 hours. After transfection or incubation with RAPA, cells were harvested for further analysis. This procedure was performed before OGD/reoxygenation (OGD/R) treatment.
CI/RI mouse model
Forty C57BL/6 mice (male, 6–7 weeks old, 20–22 g weight) in specific pathogen-free conditions were purchased from Laboratory Animal Center of Zhengzhou University [SYXK (Yu) 2011-0001] and housed at 22–25°C with a 12-hour light/dark cycle with adequate food and water. The study was approved by the Animal Care Committee of the First Affiliated Hospital of Zhengzhou University, China (approval No. XF20190538) on January 4, 2019.
Mice were randomly assigned into four groups (n = 10): sham, middle cerebral artery occlusion/reperfusion (MCAO), MCAO + si-MEG3, and MCAO + si-NC.
The CI/RI mouse model was established by performing MCAO (Hu et al., 2012; Guo et al., 2017). The mice were anesthetized with pentobarbital sodium (35 mg/kg, CAS# 57-33-0, Hubei XinRunde Chemical Co., Ltd., Wuhan, China) by intraperitoneal injection in the right lower abdomen with a syringe. MCAO was performed with a 4-0 surgical nylon filament. After 60 minutes, the suture was removed and the blood flow was restored (reperfusion). Anesthesia and surgery procedures in the Sham group were the same, except for the MCAO.
Si-NC or si-MEG3 (both 100 μM, GenePharma) and Lipofectamine RNAiMAX Transfection Reagent (Invitrogen) were mixed according to the manufacturer’s instructions and incubated for 20 minutes. This solution (7 μL) was injected into the right cerebral ventricle immediately before the MCAO (Wang et al., 2017). Seven days later, the mice were euthanized by 100% CO2 inhalation at 25% cubage per minute for 3–4 minutes, and then the brain tissue was collected. Three mice of each group were used for 2,3,5-triphenyltetrazolium chloride (TTC) staining, four mice were used for quantitative real-time PCR (qRT-PCR) and western blotting, and the remaining three mice were used for terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) assay.
Cell Counting Kit-8 assay
HT22 cells were seeded in 96-well plates (3 × 103 cells/well). Ten microliters of Cell Counting Kit-8 (CCK8; Beyotime, Shanghai, China) was added to each well and incubated for 60 minutes. The optical density was measured and recorded at 450 nm. Five replicate wells were set for each sample. At least three independent experiments were performed on each group.
Quantitative real-time PCR
Total RNA of HT22 cells or brain tissue was extracted with Trizol (Invitrogen). The concentration and purity of the RNA extracts were determined by Nanodrop (Thermo Scientific, Cleveland, OH, USA); the acceptable range of the A260/A280 ratio was 1.9 to 2.1. Complementary DNAs were obtained and then quantified by an ABI 7500 Real-Time PCR system (Applied Biosystems, Waltham, MA, USA). The internal controls used were glyceraldehyde 3-phosphate dehydrogenase (GAPDH) and U6. The primer sequences are listed in Additional Table 1.
Additional Table 1.
Gene | Primer sequence |
---|---|
MEG3 | Forward: 5´-AGC GCTTCT GAAGAC CAAAC-3´ |
Reverse: 5´-GAACACAAAAAAGACACC CAG CA-3´ | |
miR-181c-5p | Forward: 5´-AACATT CAACCT GTC GGT GAG T-3´ |
Reverse: 5´-CATGTCAGC CAG TGT TGAATG TC-3´ | |
U6 | Forward: 5´-CTC GCTTCG GCAGCACA-3´ |
Reverse: 5´-AAC GCTTCACGAATTTGC GT-3´ | |
GAPDH | Forward:5´-GAC CTGACC TGC CGT CTA-3´ |
Reverse: 5´-AGGAGT GGG TGT CGC TGT-3´ |
GAPDH: Glyceraldehyde 3-phosphate dehydrogenase; MEG3: maternally expressed gene 3.
Western blot assay
HT22 cells or brain tissue were lysed and the protein concentration was determined with a bicinchoninic acid kit (Beyotime). The proteins were subjected to sodium dodecyl sulfate-polyacrylamide gel electrophoresis, and then transferred to polyvinylidene difluoride membranes (Millipore, Temecula, CA, USA). The membranes were then incubated in blocking solution (Cat# SW3015BSA; Solarbio, Beijing, China), followed by incubation at 4°C overnight with antibodies for anti-mouse ATG7 (Cat# ab133528; 1:5000; Abcam, Cambridge, UK), anti-mouse Beclin1 (Cat# ab210498; 1:1000; Abcam), anti-mouse light chain 3 (LC3) (Cat# ab128025; 1:500; Abcam), or anti-mouse β-actin (Cat# ab227387; 1:5000; Abcam). Next, the membranes were incubated with goat anti-rabbit IgG secondary antibodies (Cat# ab97048; 1:5000; Abcam) for 3–4 hours at room temperature. The proteins were visualized with a chemiluminescence system (Beyotime) and imaged using the ECL Plus Western Blotting Substrate (Thermo Fisher). The quantitative analysis of the blots was conducted with ImageJ software (National Institutes of Health, Bethesda, MD, USA).
Monodansylcadaverine staining
HT22 cells were seeded in 6-well plates with a coverslip in each well and different treatments were applied. Cells were collected, washed, and fixed. Then, the slides were exposed to 0.05 mM monodansylcadaverine (MDC; MilliporeSigma, St. Louis, MO, USA) at 37°C in the dark for 20 minutes. Slides were observed under an inverted fluorescence microscope (Olympus, Tokyo, Japan). Five fields were randomly selected for each group to quantify the number of MDC stained cells.
RNA fluorescence in situ hybridization assay
This assay was performed according to the guidelines of the Ribo™ lncRNA fluorescence in situ hybridization Probe Mix (RiboBio, Guangzhou, China). The cells were fixed in 4% paraformaldehyde (Solarbio) for 15 minutes at room temperature, and then incubated with 0.2% Triton X-100 for 10 minutes. Next, the cells were treated with proteinase K, glycine, and acetamidine reagent, followed by addition of 250 μL of prehybridization solution, which was then removed and replaced with hybridization solution containing the lncRNA MEG3 probe that was incubated overnight in the dark at 42°C. The mixture was washed three times with PBT solution and 4′,6-diamidino-2-phenylindole (MilliporeSigma) was added for 5 minutes. Finally, the samples were sealed with an anti-fluorescence quencher and the images were obtained using an inverted fluorescence microscope.
RNA immunoprecipitation
Argonaute 2 (Ago2)-RNA-immunoprecipitation (IP) assay was performed using the Magna RNA immunoprecipitation (RIP) RNA-Binding Protein Immunoprecipitation Kit (Millipore Corporation, Billerica, MA, USA) to immunoprecipitate miR-181c-5p and examine the interaction between miR-181c-5p and MEG3. Briefly, the miR-181c-5p mimic or NC mimic were transfected into HT22 cells, which were then collected and lysed with RIP lysis buffer. The cell lysate was incubated with RIP buffer with magnetic beads conjugated to anti-Ago2 or anti-IgG antibodies (negative control). Proteinase K was added to digest the protein, and the immunoprecipitates (Ago2-miR-181c-5p complex) were isolated. qRT-PCR analysis was used to detect MEG3 expression in the immunoprecipitates to determine the interaction of miR-181c-5p and MEG3.
Dual-luciferase activity assay
MEG3 and ATG7 3′-untranslated region were predicted by RNA Association Interaction Database 2.0 (http://www.rna-society.org/raid2/search.html) and TargetScan Human 7.2 (http://www.targetscan.org/vert_72/) to have binding sites for miR-181c-5p. These regions were cloned into pRL-TK vector (Promega, Madison, WI, USA) as the wild type (WT) MEG3 and ATG7 reporter vectors. The mutated (MUT) MEG3 and ATG7 reporter vectors were obtained from Invitrogen and served as negative controls. Next, the vectors and miR-181c-5p mimic were co-transfected into HT22 cells and cultured for 48 hours. The luciferase activity was determined by the dual-luciferase reporter system (Promega).
Mouse behavior assessment
Three mouse behaviors were assessed in this study. In the elevated plus maze test, two open arms (16 cm × 5 cm), two closed arms (16 cm × 5 cm × 12 cm), and one connecting central platform (5 cm × 5 cm) formed the maze (Wuhan Yihong Co., Ltd., Wuhan, China). Mice were put on the end of an open arm. The time it took the mice to enter the closed arm from the open arm with all the four legs was measured as transfer latency time (TLT). The test was performed on 3 consecutive days. The TLT record on day 3 was used as an indicator of normal memory, and the TLT record on day 4 was used as an indicator of the memory state after MCAO. After day 3, TLT was recorded, mice were subjected to CI/RI and this test was performed again (Itoh et al., 1990; Gupta et al., 2003).
The inclined beam-walking test was conducted to estimate the coordination of fore and hind limb movement. Mice were put on a metal bar (55 cm long and 1.5 cm wide) at 60° from the floor. The motor ability scores ranged from 0 to 4. A score of 0 indicated that the mouse easily went through the beam, and a score 4 meant that the mouse could hardly walk on the beam. This test was conducted before and 12 and 24 hours after CI/RI (Feeney et al., 1981; Kaur et al., 2017).
For the lateral push test, mice were put on a rough surface (plastic coated paper, counter protection paper, Kimberly-Clark, Irving, TX, USA) to enhance grip, and then we assessed the resistance to shoulder pushed on both sides. This test was conducted before and 12 and 24 hours after CI/RI. The resistance to a lateral push before MCAO was regarded as the primary resistance (100 score). Mice with decreased resistance to a lateral push after MCAO were assigned corresponding scores and the percentage relative to the primary resistance was calculated (Gupta et al., 2003).
TTC staining
The infarct volume was measured by TTC staining. The incubation of brain slices with 2% TTC (MilliporeSigma) was performed at 37°C for 25 minutes, and then the slices were fixed. The white areas are the cerebral infarction. Stained slices were observed and then the images were analyzed by ImageJ software. As previously reported (Gao et al., 2016; Han et al., 2018), the infarct volume was obtained by integrating the infarct areas in all sections, and it is expressed as a percentage of infarct area.
TUNEL assay
TUNEL was performed to evaluate cell death in brain tissues. Paraffin sections were dewaxed using xylene for 10 minutes. The xylene was replaced with fresh xylene and sections were dewaxed for another 10 minutes. Proteinase K (20 μg/mL; Beyotime) was added dropwise, and specimens were incubated for 25 minutes at room temperature after adding Enhanced Peroxidase Blocking Buffer (Beyotime). Cell death was detected with the Colorimetric TUNEL Kit (Beyotime) following the manufacturer’s guidelines. The staining results were observed and counted under a fluorescence microscope (BX60, Olympus, Tokyo, Japan). Six high power fields were selected for each sample and the average percentage of TUNEL-positive cells was calculated for statistical analysis.
Statistical analysis
Data were analyzed by SPSS (version 13.0, SPSS, Chicago, IL, USA) and are presented as mean ± standard deviation (SD). Unpaired t-test was used for comparison between two groups, and the difference among multiple groups was compared by one-way analysis of variance followed by the least significant difference post hoc test. P < 0.05 was considered statistically significant.
Results
Expression levels of MEG3 and ATG7 protein are increased and autophagy is elevated in OGD/R-induced HT22 cells
OGD/R-induced HT22 cells for 12, 24, and 48 hours were used to mimic CI/RI in vitro. The results showed that the cell viability of the reoxygenated cells gradually decreased for at least 48 hours (P < 0.001; Figure 1A). Additionally, the expression levels of MEG3 and ATG7 protein gradually increased for at least 48 hours (P < 0.001; Figure 1B–D). Furthermore, MDC staining showed that the autophagy in HT22 cells gradually increased until 48 hours (Figure 1E). Therefore, we reoxygenated OGD-induced cells for 48 hours in the following experiments.
Inhibition of MEG3 suppresses OGD/R-induced autophagy in HT22 cells
It has been has demonstrated that autophagy is activated in a CI/RI model (Xu and Zhang, 2011). To investigate whether MEG3 affects OGD/R-induced autophagy, we transfected si-MEG3 to knockdown MEG3 in HT22 cells subjected to OGD/R. We discovered that the expression of MEG3 was decreased after transfection of si-MEG3, implying the si-MEG3 transfection was effective (P < 0.001; Figure 2A). Compared with the control cells, the protein levels of ATG7, Beclin1, and LC3II/I were significantly elevated (P < 0.001; Figure 2B and C), cell autophagy (detected by MDC staining) was increased (P < 0.001; Figure 2D and E), and cell viability was decreased (P < 0.001; Figure 2F) in OGD/R-induced cells. These results implied that autophagy was activated after OGD/R treatment. We further found that MEG3 knockdown reduced the levels of ATG7, Beclin1, and LC3II/I (P < 0.01 or P < 0.001; Figure 2B and C), decreased cell autophagy (P < 0.001; Figure 2D and E), and increased cell viability (P < 0.001; Figure 2F) in OGD/R-induced cells. Next, we used RAPA to increase autophagy in OGD/R- induced HT22 cells and transfected si-MEG3 to examine the effect on autophagy. The results indicated that the levels of ATG7, LC3II/I, and Beclin1 were markedly elevated (P < 0.05 or P < 0.01; Figure 2B and C) and cell autophagy was increased (P < 0.01; Figure 2D and E), but the cell viability decreased in RAPA-treated OGD/R-induced cells (P < 0.01; Figure 2F). However, MEG3 knockdown reversed the effects of RAPA (P < 0.05, P < 0.01, or P < 0.001; Figure 2B–F). These data suggest that MEG3 knockdown inhibited OGD/R-induced autophagy in HT22 cells.
MiR-181c-5p interacts with MEG3 and ATG7 in OGD/R- induced HT22 cells
A previous study has revealed that miR-181c-5p expression was reduced in OGD-induced neuronal cells (Zhang et al., 2019). To elucidate whether miR-181c-5p interacts with MEG3 and ATG7, RNA fluorescence in situ hybridization assay was performed to identify the localization of MEG3, and then bioinformatics software (RNA Association Interaction Database 2.0 and TargetScan Human 7.2) were used to predict its interactions. The fluorescence in situ hybridization assay results showed that MEG3 was expressed in the cytoplasm of neuronal cells (Figure 3A), and miR-181c-5p had binding sites for MEG3 and ATG7 sequences (Figure 3B and I, respectively). Then, the dual-luciferase reporter assay was performed to verify the interactions in HT22 cells. We found that miR-181c-5p overexpression reduced the relative luciferase activity of MEG3-WT (P < 0.01), but it had no significant effect on MEG3-MUT (P > 0.05; Figure 3C). The RIP assay indicated that the MEG3 level was higher with Ago2 antibodies than it was with IgG antibodies (P < 0.001; Figure 3D). We then transfected the MEG3 overexpression plasmid or si-MEG3 into HT22 cells and found that MEG3 overexpression significantly decreased the miR-181c-5p level (P < 0.01; Figure 3E and F). Conversely, MEG3 knockdown significantly increased the miR-181c-5p expression (P < 0.001; Figure 3G and H). The above data suggest that MEG3 bound to miR-181c-5p and inhibited its expression in HT22 cells.
Furthermore, we observed that miR-181c-5p overexpression remarkably reduced the relative luciferase activity of ATG7-WT (P < 0.01), but it had no significant effect on ATG7-MUT (P > 0.05 (Figure 3I and J). Moreover, transfection of miR-181c-5p mimic or miR-181c-5p inhibitor markedly promoted or decreased miR-181c-5p expression, respectively (P < 0.001 (Figure 3K and L). Additionally, miR-181c-5p knockdown increased the ATG7 protein level and miR-181c-5p overexpression had the opposite effect (P < 0.001 (Figure 3M and N). These findings indicated that miR-181c-5p bound to ATG7 and negatively regulated its expression in HT22 cells.
MEG3 regulates cell autophagy through the miR-181c-5p/ATG7 pathway
To further explore whether MEG3 regulates cell autophagy through the miR-181c-5p/ATG7 pathway, we transfected or co-transfected the MEG3 overexpression plasmid and miR-181c-5p mimic into HT22 cells prior to subjecting them to OGD/R, and then examined the effects on ATG7 expression and cell autophagy. We found that after transfection of the MEG3 overexpression plasmid, the protein levels of ATG7, Beclin1, and LC3II/I were significantly elevated (P < 0.001; Figure 4A and B), the cell autophagy analyzed by MDC staining was remarkably increased (P < 0.01; Figure 4C and D), but the cell viability decreased (P < 0.01; Figure 4E). Conversely, transfection of miR-181c-5p mimic into HT22 cells significantly downregulated the expression of ATG7, Beclin1, and LC3II/I (P < 0.05 or P < 0.001; Figure 4A and B), significantly decreased cell autophagy (P < 0.01; Figure 4C and D), and significantly increased the cell viability (P < 0.01; Figure 4E). Moreover, overexpression of miR-181c-5p reversed the above-mentioned effects of MEG3 overexpression (P < 0.05 or P < 0.001; Figure 4A–E). These results suggest that MEG3 regulated autophagy in OGD/R-induced HT22 cells through the miR-181c-5p/ATG7 pathway.
MEG3 knockdown inhibits autophagy and alleviates CI/RI in vivo
To verify the effects of MEG3 in vivo, the right ventricle of the mice was injected with si-MEG3 or si-NC, and then the CI/RI model was established. The results showed that compared with the Sham group, after CI/RI, there were many cerebral infarction areas in the mice (P < 0.001 (Figure 5A and B), MEG3 expression was markedly upregulated (P < 0.01; Figure 5C), miR-181c-5p was downregulated (P < 0.01; Figure 5D), the protein levels of ATG7, Beclin1, and LC3II/I were significantly increased (P < 0.01 or P < 0.001 (Figure 5E and F), and the cell death in brain tissue was significantly increased (P < 0.001 (Figure 5G and H). However, the si-MEG3 injection reversed these effects (P < 0.05 or P < 0.01; Figure 5A–H). The above results indicated that MEG3 knockdown inhibited cell autophagy in CI/RI model mouse brain tissue, thereby alleviating CI/RI.
MEG3 knockdown ameliorates CI/RI-induced behavioral deficits
To further explore the effects of MEG3 on the behaviors of CI/RI-induced mice, we conducted the elevated plus maze test, the inclined beam-walking test, and the lateral push test. We found no significant changes in the TLT among the groups immediately after treatment, however, at 4 days after CI/RI, the TLT was significantly upregulated in the MCAO group (P < 0.001; Figure 6A). Furthermore, this result was partly reversed by si-MEG3 injection (P < 0.001; Figure 6A). The motor ability scores in the inclined beam-walking test increased 12 and 24 hours after CI/RI (P < 0.001), but si-MEG3 injection partly reversed this CI/RI effect (P < 0.001; Figure 6B). Furthermore, the resistance to lateral push was significantly declined in MCAO-induced mice at 12 and 24 hours (P < 0.001), but si-MEG3 injection reversed this effect (P < 0.001; Figure 6C). Collectively, these data suggest that MEG3 knockdown ameliorates the brain damage induced by CI/RI.
Discussion
Previous studies have suggested that MEG3 is involved in the CI/RI process through different mechanisms. For instance, Liang et al. (2020) showed that MEG3 activated caspase 1 via the miR-485/AIM2 axis to promote pyroptosis during CI/R, thereby affecting CI/RI. You and You (2019) demonstrated that MEG3 knockdown promoted nerve growth and alleviated nerve injury by Wnt/β-catenin in CI/RI rat models. However, it has not been reported whether MEG3 influences CI/RI by regulating neuronal autophagy. Our study demonstrated that MEG3 knockdown inhibited autophagy in CI/RI models and alleviated CI/RI. These findings provide novel insights into the mechanisms by which MEG3 regulates CI/RI.
In recent years, it has been demonstrated in various CI/RI animal models that autophagy is activated in damaged brain tissue (Zhang et al., 2019; Sun et al., 2020). Further studies have shown that autophagy is activated in neurons, astrocytes, and endothelial cells in the ischemic region of the brain (Wen et al., 2008; Xu and Zhang, 2011; Sun et al., 2018). Autophagy is a double-edged sword in the CI/RI process. During the first few hours of reperfusion, activation of autophagy clears damaged organelles and promotes the recycling of energy and substances to protect nerve cells (Xu and Zhang, 2011; Chen et al., 2014). However, in the middle and later periods of the CI/RI, the excessive activation of autophagy can cause excessive degradation of unimpaired organelles and proteins, which ultimately leads to cell self-digestion and induces neural cell death (Gao et al., 2012). Therefore, autophagy regulation is considered as a potential therapeutic target for CI/RI. Our study demonstrated that MEG3 knockdown inhibited autophagy, reduced the protein levels of ATG7, Beclin1, and LC3II/I, and improved cell viability in the CI/RI model. These results indicate that inhibition of MEG3 can protect neurons from death by suppressing autophagy during reperfusion, thereby alleviating cerebral infarction and behavioral deficits in CI/RI. Although cell viability depends on multiple factors, we discovered it negatively correlated with cell autophagy in the MCAO model, which is consistent with a previous report (Pei et al., 2019). Autophagy activation during different periods of the CI/RI has different effects on neural cells and neurological deficits, and further exploration is clearly warranted to identify these effects.
The miR-181 family plays an important role in cerebrovascular diseases including CI/RI (Di et al., 2014; Volný et al., 2015). It has been suggested that miR-181c-5p expression is significantly reduced and is involved in neuronal apoptosis and inflammation during CI/RI (Zhang et al., 2019; Cao et al., 2020a). The prediction result of the Targetscan database suggested that miR-181c-5p binds the ATG7 3′-untranslated region. Our study identified this interaction and confirmed that miR-181c-5p inhibited ATG7 expression and suppressed autophagy in the CI/RI model. Similar to our results, Cao et al. (2020b) demonstrated that miR-485 targeted ATG7 and inhibited its expression in CI/RI. Zhang et al. (2020) indicated that miR-143 targeted ATG7 to regulate autophagy in acute myeloid leukemia cells. We also revealed that MEG3 bound miR-181c-5p and inhibited its expression. Furthermore, miR-181c-5p overexpression reversed the effects of MEG3 on autophagy and ATG7 in the in vitro CI/RI model. These results suggest that MEG3 can be used as a competitive endogenous RNA to inhibit the expression of miR-181c-5p and enhance the ATG7 level, thereby promoting autophagy and ameliorating brain tissue damage in CI/RI. Additionally, this study illustrated for the first time that MEG3 had an effect of ameliorating the behavioral deficits induced by CI/RI, thereby contributing to the behavioral field of CI/RI. However, miR-181c-5p may have other target genes, and ATG7 may be regulated by other miRNAs, hence further research is required.
The present study has a few limitations. We only demonstrated the autophagy regulation and potential mechanism of MEG3 in CI/RI in cells and mouse models; therefore, the clinical role of MEG3 should be further clarified in future studies. Moreover, our study explored the regulatory effect of MEG3 on ATG7, but it did not explore whether MEG3 also affects other ATG family members that co-regulate autophagy with ATG7. Other limitations of our study include the absence of morphological analysis by transmission electron microscopy, insufficient generalizability of the model used, and the limited age range of the animals. Thus, additional more comprehensive studies are needed to verify these limitations.
In summary, lncRNA MEG3 regulates autophagy in neurons and brain tissues in CI/RI models. Specifically, it regulates autophagy during CI/RI through the miR-181c-5p/ATG7 signaling pathway. This study improved our understanding of the role and potential mechanism of MEG3 in the pathogenesis and progression of CI/RI.
Additional file:
Additional Table 1: Primer sequences for quantitative real-time polymerase chain reaction.
Footnotes
C-Editor: Zhao M; S-Editors: Yu J, Li CH; L-Editors: Yu J, Song LP; T-Editor: Jia Y
Conflicts of interest: The authors declare no conflict of interest.
Financial support: None.
Institutional review board statement: The animal experimental procedures were approved by the Animal Care Committee of the First Affiliated Hospital of Zhengzhou University, China (approval No. XF20190538) on January 4, 2019.
Copyright license agreement: The Copyright License Agreement has been signed by all authors before publication.
Data sharing statement: Datasets analyzed during the current study are available from the corresponding author on reasonable request.
Plagiarism check: Checked twice by iThenticate.
Peer review: Externally peer reviewed.
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