Long non‑coding RNA SNHG1 relieves microglia activation by downregulating miR‑329‑3p expression in an in vitro model of cerebral infarction
- Authors:
- Published online on: August 9, 2021 https://doi.org/10.3892/etm.2021.10581
- Article Number: 1148
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Copyright: © He et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Cerebral infarction, also known as ischemic stroke, refers to the local ischemic necrosis or encephalomalacia of brain tissue caused by disruption to the blood supply, leading to ischemia and hypoxia (1-3). Cerebral infarction is the most common type of cerebrovascular disease, accounting for ~70% of all cerebrovascular diseases (4). The most common clinical causes of cerebral infarction include the formation of a cerebral thrombus, lacunar infarction and cerebral embolism (5,6). Although the different types may share common etiological characteristics, there also exhibit specific differences. Diseases and conditions commonly associated with cerebral infarction include diabetes, obesity, hypertension, rheumatic heart disease, arrhythmia, dehydration due to various reasons, several types of arteritis, shock and a rapid or excessive drop in blood pressure (7-9). Cerebral infarction is considered as a medical emergency and is associated with high disability and mortality rates. Therefore, it is crucial to devise more effective treatments for cerebral infarction. Previous studies have reported that microglia activation may promote the excessive release of numerous inflammatory cytokines, thereby exacerbating neuronal damage after an ischemic stroke (10,11). Therefore, the present study conducted a series of experiments using microglia to further study their role in cerebral infarction and elucidate the underlying mechanism.
Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs of >200 nucleotides in length, which are transcribed in most eukaryotic genomes (12,13). To date, most lncRNAs have been classified; however, their precise functions require further investigations. An increasing number of studies have shown that lncRNAs play key roles in regulating growth and development, cell differentiation, subcellular structure distribution and evolutionary selection, in addition to their roles in numerous types of human disease, including vascular, neurological and inflammatory diseases, as well as cancer (14-16). In fact, numerous lncRNAs, such as metastasis-associated lung adenocarcinoma transcript 1, maternally expressed 3, CDKN2B antisense RNA 1 and small nucleolar RNA host gene 1 (SNHG1), have been reported to be involved in regulating the pathogenesis of cerebral infarction (17-20). SNHG1 is a lncRNA, comprising 3,927 nucleotides, which is transcribed from the SNHG1 gene on chromosome 11(21). Chen et al (20) found that SNHG1 exerted a protective effect against cerebral infarction by regulating the PI3K/AKT signaling pathway. Other studies have revealed that regulating the endogenous activation of microglia may represent a new target for ischemic stroke treatment (22,23). In addition, an oxygen-glucose deprivation (OGD) model of BV-2 cells has been widely used to study cerebral infarction in vitro (24-26). However, to the best of our knowledge, whether SNHG1 participates in cerebral infarction by affecting the activation of microglia has not been investigated to date.
The present study was undertaken to investigate the effects of SNHG1 on the activation of microglia and further determine its underlying molecular mechanism. The results may provide novel insight into potential clinical strategies for the treatment of cerebral infarction.
Materials and methods
Cell culture and OGD model establishment
The BV-2 microglial cell line was purchased from the American Type Culture Collection. Cells were cultured in DMEM (HyClone; Cytiva) supplemented with 10% FBS (Gibco; Thermo Fisher Scientific, Inc.), and maintained at 37˚C with 5% CO2.
The establishment of the OGD model of BV-2 cells was performed according to a previous study (25). Briefly, BV-2 cells were cultured in serum/glucose-free DMEM with 95%N2 and 5% CO2 at 37˚C for 12, 24 or 48 h. Following incubation, the cells were collected to determine the levels of SNHG1 and miR-329-3p.
Reverse transcription-quantitative PCR (RT-qPCR)
Total RNA was extracted from cells using TRIzol® reagent (Invitrogen; Thermo Fisher Scientific, Inc.). Total RNA was reverse transcribed into cDNA using a SuperScript® VILO™ cDNA Synthesis kit (Invitrogen; Thermo Fisher Scientific, Inc.). qPCR was subsequently performed on a Prism 7000 Real-Time PCR Detection system (Applied Biosystems; Thermo Fisher Scientific, Inc.) using SYBR qPCR Master mix (Thermo Fisher Scientific, Inc.), according to the manufacturer's protocol. The primers used for the qPCR were purchased from Genscript and the primer sequences are listed as follows:
GAPDH, forward 5'-CTTTGGTATCGTGGAAGGACTC-3' and reverse, 5'-GTAGAGGCAGGGATGATGTTCT-3'; U6, forward, 5'-GCTTCGGCAGCACATATACTAAAAT-3' and reverse, 5'-CGCTTCACGAATTTGCGTGTCAT-3'; lncRNA SNHG1, forward, 5'-CCAAACTCAGGCACTGTATAGAT-3' and reverse, 5'-ACAGACACGAAGTGGAGTTATG-3'; and miR-329-3p, forward, 5'-GTGGAACAGACCTGGTAAAC-3' and reverse, 5'-CAAGTGCGAGTCGTGCAGT-3'. The following thermocycling conditions were used for the qPCR: Initial denaturation for 5 min at 95˚C, followed by 40 cycles of 95˚C for 10 sec and 60˚C for 30 sec. The relative mRNA expression levels of SNHG1 and microRNA (miRNA/miR)-329-3p were calculated using the 2-ΔΔCq method (27), and GAPDH or U6 were used as the internal controls for normalization of SNHG1 and miR-329-3p expression, respectively.
Cell transfection
The SNHG1 sequence was synthesized based on the SNHG1 sequence and then sub-cloned into the pcDNA3.1 vector (SNHG1-plasmid; Shanghai GeneChem Co., Ltd.). The empty pcDNA3.1 vector was used as a control (control-plasmid). BV-2 cells were plated into 6-well plates for 24 h, then transfected with 1 µg control-plasmid, 1 µg SNHG1-plasmid, 50 nM mimic control (5'-UUCUCCGAACGUGUCACGUTT-3'; GeneCopoeia, Inc.), 50 nM miR-329-3p mimic (3'UUUUUCCAAUCGACCCACACAA5'; GeneCopoeia, Inc.), 1 µg SNHG1-plasmid + 50 nM mimic control, 1 µg SNHG1-plasmid + 50 nM miR-329-3p mimic, 100 nM inhibitor control (5'CAGUACUUUUGUGUAGUACAA3'; GeneCopoeia, Inc.) or 100 nM miR-329-3p inhibitor (5'AAAAAGGUUAGCUGGGUGUGUU3'; GeneCopoeia, Inc.) using Lipofectamine® 2000 reagent (Invitrogen; Thermo Fisher Scientific, Inc.). Following transfection for 24 h, the cells were collected to determine the transfection efficiency using RT-qPCR.
To investigate the role of SNHG1 in OGD induced BV-2 cells, BV-2 cells were cultured in serum/glucose-free DMEM with 95% N2 and 5% CO2 at 37˚C for 48 h, then the cells were transfected with control-plasmid, SNHG1-plasmid, SNHG1-plasmid + mimic control, or SNHG1-plasmid + miR-329-3p mimic at 37˚C for another 24 h. Cells were divided into the following six groups: i) Control group; ii) OGD group; iii) OGD + control-plasmid group; iv) OGD + SNHG1-plasmid group; v) OGD + SNHG1-plasmid + mimic control group; and vi) OGD + SNHG1-plasmid + miR-329-3p mimic group.
To investigate the role of miR-329-3p downregulation in OGD induced BV-2 cells, BV-2 cells were cultured in serum/glucose-free DMEM with 95% N2 and 5% CO2 at 37˚C for 48 h, then the cells were transfected with inhibitor control or miR-329-3p inhibitor at 37˚C for 24 h. Cells were divided into the following four groups: i) Control group; ii) OGD group; iii) OGD + inhibitor group; and iv) OGD + miR-329-3p inhibitor group.
miRNA target analysis and dual luciferase reporter assay
The binding relationship between miR-329-3p and SNHG1 was identified using starBase (http://starbase.sysu.edu.cn/). The 3'-untranslated region (UTR) sequences of SNHG1 containing the target sequence of miR-329-3p were obtained by RT-qPCR and cloned into a pmirGLO vector (Promega Corporation) to construct the SNHG1-wild-type (WT) reporter gene vector. A SNHG1-mutated type (MUT) reporter gene vector was also constructed. The BV-2 cells were cultured for 24 h, then co-transfected with the SNHG1-WT or SNHG1-MUT reporter gene vector and miR-329-3p mimic (3'-UUUUUCCAAUCGACCCACACAA-5') or mimic control (5'-UUCUCCGAACGUGUCACGUTT-3') using Lipofectamine 2000 reagent at 37˚C for 48 h. The relative luciferase activity was measured using a Dual Luciferase Reporter assay system (Promega Corporation) according to the manufacturer's protocol. Luciferase activity was normalized to Renilla luciferase activity.
ELISA
Following 24 h of transfection, the cell culture supernatants were collected through centrifugation at 500 x g at 4˚C for 5 min. Then, the levels of TNF-α in the supernatant of BV-2 cells were detected using an ELISA kit (cat. no. SMTA00B; R&D Systems, Inc.) according to the manufacturer's protocol.
Measurement of nitric oxide (NO) production
The production of NO was evaluated by detecting the nitrate levels in the cell supernatant. Briefly, equal volumes of BV-2 cell supernatant and Griess reagent were mixed and incubated for 10 min at room temperature. The absorbance was measured at a wavelength of 550 nm using a microplate reader (Bio-Rad Laboratories, Inc.).
Flow cytometric analysis of apoptosis
Flow cytometry was used to detect the levels of cell apoptosis using Annexin V-FITC/PI apoptosis detection kit (Beyotime Institute of Biotechnology). Briefly, the transfected cells were collected by trypsinization after transfection and resuspended in 1X binding buffer. Then, 100 µl cell suspension was incubated with 5 µl Annexin V-FITC and 5 µl PI (Beyotime Institute of Biotechnology) according to the manufacturer's protocol. Apoptotic cells were analyzed using a FACSCalibur flow cytometer (BD Biosciences) and FlowJo software (version 7.2.4; FlowJo LLC).
Detection of caspase-3 activity
Caspase-3 activity was measured using a colorimetric assay kit (Beyotime Institute of Biotechnology) according to the manufacturer's protocol.
Western blotting
Following incubation for 24 h, total protein was extracted from BV-2 cells using RIPA lysis buffer (Beyotime Institute of Biotechnology) and centrifugation at 10,000 x g for 15 min at 4˚C. Total protein was quantified using a BCA protein assay kit (Bio-Rad Laboratories, Inc.) and separated via 10% SDS-PAGE. The separated proteins were subsequently transferred onto a PVDF membrane and blocked with PBS-0.1% Tween-20 (PBST) containing 5% non-fat milk at room temperature for 1 h. The membranes were then incubated with the following primary antibodies at 4˚C overnight: Anti-cleaved caspase-3 (cat. no. 9664; dilution 1:1,000; Cell Signaling Technology, Inc.), anti-caspase-3 (cat. no. 14220; dilution 1:1,000; Cell Signaling Technology, Inc.) or anti-GAPDH (cat. no. 5174; dilution 1:1,000; Cell Signaling Technology, Inc.). Following primary antibody incubation, the membrane was washed with PBST three times and incubated with the secondary antibody [goat anti-rabbit IgG H&L (HRP) preadsorbed; cat. no. 97080; dilution 1:5,000; Abcam] for 1 h at room temperature. Protein bands were visualized using an ECL substrate (Cytiva) on an Amersham ImageQuant UV western blotting system (Cytiva) according to the manufacturer's instructions.
Statistical analysis
Statistical analysis was performed using the SPSS software (version 18.0; SPSS, Inc.). Data are presented as the mean ± SD of three independent experiments. Statistical differences between groups were determined using an unpaired Student's t-test or one-way ANOVA followed by Tukey's post hoc test. P<0.05 was considered to indicate a statistically significant difference.
Results
SNHG1 is a direct target gene of miR-329-3p
Bioinformatics analysis using starBase identified a binding site between SNHG1 and miR-329-3p (Fig. 1A). Compared with the mimic control group, transfection with the miR-329-3p mimic significantly upregulated miR-329-3p expression levels in BV-2 cells (Fig. 1B). Then, the binding site between SNHG1 and miR-329-3p was confirmed using a dual luciferase reporter assay (Fig. 1C).
Expression levels of SNHG1 and miR-329-3p in the OGD-induced BV-2 cell model
An OGD cell model was established via OGD induction as previously described (25). After OGD induction for 12, 24 or 48 h, RT-qPCR was performed to analyze the expression levels of SNHG1 and miR-329-3p in BV-2 cells compared with the control group. The results revealed that the expression levels of SNHG1 were significantly upregulated, while the expression levels of miR-329-3p were significantly downregulated in the OGD group (Fig. 2A and B).
SNHG1-plasmid downregulates the expression levels of miR-329-3p in BV-2 cells
BV-2 cells were transfected with control-plasmid, SNHG1-plasmid, mimic control, miR-329-3p mimic, SNHG1-plasmid + mimic control or SNHG1-plasmid + miR-329-3p mimic, and the transfection efficiencies were determined using RT-qPCR. The results demonstrated that transfection with the SNHG1-plasmid or miR-329-3p mimic markedly upregulated the expression levels of SNHG1 and miR-329-3p, respectively, in BV-2 cells (Fig. 3A and B). Compared with the control-plasmid group, transfection with the SNHG1-plasmid significantly downregulated the expression levels of miR-329-3p in BV-2 cells, while this downregulation was reversed following transfection with the miR-329-3p mimic (Fig. 3C).
SNHG1 inhibits OGD-induced BV-2 cell activation by downregulating the expression of miR-329-3p
BV-2 cells were transfected for 24 h and then divided into the following six groups: i) Control group; ii) OGD group; iii) OGD + control-plasmid group; iv) OGD + SNHG1-plasmid group; v) OGD + SNHG1-plasmid + mimic control group; and vi) OGD + SNHG1-plasmid + miR-329-3p mimic group. Compared with the control group, the expression levels of SNHG1 were significantly upregulated (Fig. 4A), the expression levels of miR-329-3p were significantly downregulated (Fig. 4B), and the release of TNF-α and NO was significantly increased (Fig. 4C and D) in the OGD group. In addition, the results of the flow cytometry, caspase-3 activity and western blot analyses demonstrated that the levels of cell apoptosis, caspase-3 activity, cleaved caspase-3 protein expression and the cleaved caspase-3/caspase-3 ratio were all markedly increased in the OGD group compared with the control group (Fig. 4E-I).
Similarly, compared with the OGD + control-plasmid group, SNHG1 expression levels were upregulated in the OGD + SNHG1-plasmid group, while miR-329-3p expression levels, TNF-α and NO release, cell apoptosis, cleaved caspase-3 protein expression, the cleaved caspase-3/caspase-3 ratio and caspase-3 activity were all significantly reduced in the OGD + SNHG1-plasmid group. All these effects were significantly reversed following transfection with the miR-392-3p mimic.
Knockdown of miR-329-3p expression inhibits OGD-induced BV-2 cell activation
The transfection efficiency of the miR-329-3p inhibitor into BV-2 cells was detected 24 h post-transfection, and the results revealed that the miR-329-3p inhibitor significantly downregulated the expression levels of miR-329-3p in BV-2 cells (Fig. 5A). The cells were then divided into the following four groups: i) Control group; ii) OGD group; iii) OGD + inhibitor control; and iv) OGD + miR-329-3p inhibitor group. Experiments were subsequently performed to determine the molecular mechanisms underlying the effects of miR-329-3p on BV-2 cells. As shown in Fig. 5B-I, compared with the control group, miR-329-3p expression levels were downregulated in the OGD group, while TNF-α and NO release, cell apoptosis, cleaved caspase-3 protein expression, the cleaved caspase-3/caspase-3 ratio and caspase-3 activity were all significantly increased in the OGD group. Similarly, compared with the OGD + inhibitor control group, miR-329-3p expression, TNF-α and NO release, cell apoptosis, cleaved caspase-3 protein expression, the cleaved caspase-3/caspase-3 ratio and caspase-3 activity were all markedly decreased in the OGD + miR-329-3p inhibitor group.
Discussion
Cerebral infarction is caused by blood circulation disorders, which lead to ischemia, hypoxia and necrosis of the brain areas affected (1-3). The clinical symptoms of cerebral infarction are complex, and are associated with the location of the brain damage, the size of the cerebral ischemic blood vessels, the severity of the ischemia, the influence of other diseases prior to the onset of ischemia and the effects of the comorbidity of cerebral infarction and other types of vital organ disease. Mild cases of cerebral infarction can be completely asymptomatic, but they can also manifest as recurrent limb paralysis or dizziness, which is known as a transient ischemic attack. Individuals with severe cases of cerebral infarction may not only experience limb paralysis, but acute coma and death may also occur in some cases (28,29).
The expression levels of SNHG1 were previously found to be upregulated in middle cerebral artery occlusion model mice (30), indicating the potentially important role of SNHG1 in cerebral infarction. Furthermore, the level of SNHG1 is elevated in OGD and cerebral ischemic rodents and exerts neuroprotective effects involving the PI3K/AKT pathway (20). To investigate the mechanisms underlying the role of lncRNA SNHG1 in cerebral infarction, the present study predicted and verified the binding site between miR-329-3p and SNHG1. Microglia are small cells found in the nervous system, which are mostly localized in the gray matter near the cell bodies of neurons and around small blood vessels, but can also be found in the white matter of the brain (31). Microglia can promote the development of the nervous system and regulate the number of neurons in the central nervous system (32). After an ischemic stroke, activated microglia were discovered to promote the excessive release of inflammatory cytokines, thereby exacerbating neuronal damage (33,34). Therefore, regulating the activation of endogenous microglia may represent a new treatment target in ischemic stroke (22,23). Furthermore, OGD induced BV-2 cells have been widely used to study cerebral infarction in vitro (24-26). In the present study, BV-2 cells were used to establish an in vitro OGD model, and the results revealed that the expression levels of SNHG1 were upregulated in OGD-induced cells, while miR-329-3p expression levels were downregulated.
To determine whether SNHG1 affected the activation of BV-2 cells by regulating miR-329-3p expression, experiments with BV-2 cells were performed following overexpression of SNHG1 and downregulation of miR-329-3p. The results demonstrated that transfection with the SNHG1-plasmid downregulated miR-329-3p expression, while this effect was reversed following transfection with the miR-329-3p mimic. TNF-α and NO are important proinflammatory factors that have been found to play important roles in the occurrence and development of the systemic inflammatory response (35,36). Thus, the present study measured the release of TNF-α and NO in the supernatant of OGD-induced BV-2 cells. The results revealed that the overexpression of SNHG1 or knockdown of miR-329-3p expression inhibited the release of TNF-α and NO in the supernatant of OGD-induced BV-2 cells. Contrary to our findings, an in vitro study on Parkinson's disease demonstrated that LPS increased SNHG1 expression in BV-2 cells, leading to NLRP3 activation and cytokine production (37). Moreover, the findings of present study indicated that the overexpression of SNHG1 or knockdown of miR-329-3p expression reduced OGD-induced BV-2 cell apoptosis. Of note, all the effects of SNHG1 overexpression on OGD-induced BV-2 cells were significantly reversed by miR-329-3p overexpression. Other previous studies have also reported that SNHG1 may act as a sponge RNA to interfere with the actions of target miRNAs (38,39). The findings of the present study confirmed that the effects of SNHG1 on OGD-induced BV-2 cells are mediated through downregulating miR-329-3p levels.
The present study was only a preliminary in vitro study on the role of lncRNA SNHG1 in cerebral infarction. In order to further elucidate the role of lncRNA SNHG1 in cerebral infarction, extensive in-depth research is required. For example, the role of lncRNA SNHG1 silencing or miR-329-3p overexpression alone in cerebral infarction should be investigated. Furthermore, the downstream targets of SNHG1 and miR-329-3p should be further analyzed. In addition, the role of lncRNA SNHG1 and miR-329-3p in cerebral infarction should be studied in vivo. These issues will be addressed in future studies.
In conclusion, the results of the present study indicated that lncRNA SNHG1 may play an important role in microglia activation by modulating the expression of miR-329-3p. Therefore, targeting SNHG1 and miR-329-3p may provide novel strategies for the treatment of cerebral infarction.
Acknowledgements
Not applicable.
Funding
Funding: The present study was supported by the Science and Technology Development Foundation of Nanjing Medical University (grant no. 2017NJMU083), the Zhejiang Chinese Medical University Field of Scientific Research Foundation (grant no. 2018ZY23) and the Hangzhou Agriculture and Social Development Research Project Foundation (grant no. 20191203B84).
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
JH designed the study, in addition to performing all experiments, analyzing the data and preparing the manuscript. XX, MJ, JL, and NL contributed to performing the experiments and data collection. TN analyzed and interpreted the data, and revised the manuscript. JH and TN confirm the authenticity of all the raw data. All the authors have read and approved the final manuscript.
Ethics approval and consent to participate
Not applicable.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Sun W, Li G, Zeng X, Lai Z, Wang M, Ouyang Y, Zeng G, Peng J, Zhong J, Xiao D, et al: Clinical and imaging characteristics of cerebral infarction in patients with nonvalvular atrial fibrillation combined with cerebral artery stenosis. J Atheroscler Thromb. 25:720–732. 2018.PubMed/NCBI View Article : Google Scholar | |
Choi JW, Chong S, Phi JH, Lee JY, Kim HS, Chae JH, Lee J and Kim SK: Postoperative symptomatic cerebral infarction in pediatric moyamoya disease: Risk factors and clinical outcome. World Neurosurg. 136:e158–e164. 2020.PubMed/NCBI View Article : Google Scholar | |
Wang YW and Zhang GM: New silent cerebral infarction in patients with acute non-cerebral amyloid angiopathy intracerebral hemorrhage as a predictor of recurrent cerebrovascular events. Med Sci Monit. 25:418–426. 2019.PubMed/NCBI View Article : Google Scholar | |
Sveinsson OA, Kjartansson O and Valdimarsson EM: Cerebral ischemia/infarction-epidemiology, causes and symptoms. Laeknabladid. 100:271–279. 2014.PubMed/NCBI View Article : Google Scholar : (In Icelandic). | |
Rojsanga W, Sawanyawisuth K, Chotmongkol V, Tiamkao S, Kongbonkiat K and Kasemsap N: Clinical risk factors predictive of thrombotic stroke with large cerebral infarction. Neurol Int. 11(7941)2019.PubMed/NCBI View Article : Google Scholar | |
Jin L, Zhou J, Shi W, Xu L, Sheng J, Fan J, Yuan Y and Yuan H: Effects of six types of aspirin combination medications for treatment of acute cerebral infarction in China: A network meta-analysis. J Clin Pharm Ther. 44:91–101. 2019.PubMed/NCBI View Article : Google Scholar | |
Orlický M, Hrbáč T, Sameš M, Vachata P, Hejčl A, Otáhal D, Havelka J, Netuka D, Herzig R, Langová K and Školoudík D: Anesthesia type determines risk of cerebral infarction after carotid endarterectomy. J Vasc Surg. 70:138–147. 2019.PubMed/NCBI View Article : Google Scholar | |
Tu J, Wang LX, Wen HF, Xu YC and Wang PF: The association of different types of cerebral infarction with post-stroke depression and cognitive impairment. Medicine (Baltimore). 97(e10919)2018.PubMed/NCBI View Article : Google Scholar | |
Xu W, Xie N, Zhang C and Huang Q: Imaging characteristics and pathogenesis of intracranial artery stenosis in patients with acute cerebral infarction. Exp Ther Med. 15:4564–4570. 2018.PubMed/NCBI View Article : Google Scholar | |
Rodríguez-Gómez JA, Kavanagh E, Engskog-Vlachos P, Engskog MKR, Herrera AJ, Espinosa-Oliva AM, Joseph B, Hajji N, Venero JL and Burguillos MA: Microglia: Agents of the CNS pro-inflammatory response. Cells. 9(1717)2020.PubMed/NCBI View Article : Google Scholar | |
Kinuthia UM, Wolf A and Langmann T: Microglia and inflammatory responses in diabetic retinopathy. Front Immunol. 11(564077)2020.PubMed/NCBI View Article : Google Scholar | |
Szcześniak MW, Wanowska E, Mukherjee N, Ohler U and Makałowska I: Towards a deeper annotation of human lncRNAs. Biochim Biophys Acta Gene Regul Mech. 1863(194385)2020.PubMed/NCBI View Article : Google Scholar | |
Puvvula PK: LncRNAs regulatory networks in cellular senescence. Int J Mol Sci. 20(2615)2019.PubMed/NCBI View Article : Google Scholar | |
Simion V, Haemmig S and Feinberg MW: LncRNAs in vascular biology and disease. Vascul Pharmacol. 114:145–156. 2019.PubMed/NCBI View Article : Google Scholar | |
Lekka E and Hall J: Noncoding RNAs in disease. FEBS Lett. 592:2884–2900. 2018.PubMed/NCBI View Article : Google Scholar | |
Dinescu S, Ignat S, Lazar AD, Constantin C, Neagu M and Costache M: Epitranscriptomic signatures in lncRNAs and their possible roles in cancer. Genes (Basel). 10(52)2019.PubMed/NCBI View Article : Google Scholar | |
Shi YL, Wang Q and Wei JC: Influence of lncRNA-MALAT1 on neuronal apoptosis in rats with cerebral infarction through regulating the ERK/MAPK signaling pathway. Eur Rev Med Pharmacol Sci. 23:8039–8048. 2019.PubMed/NCBI View Article : Google Scholar | |
Shen J, Zhao Z, Shang W, Liu C, Zhang B, Xu Z and Cai H: Fabrication of a nano polymer wrapping Meg3 ShRNA plasmid for the treatment of cerebral infarction. Artif Cells Nanomed Biotechnol. 46 (Suppl 2):S894–S903. 2018.PubMed/NCBI View Article : Google Scholar | |
Zhao JH, Wang B, Wang XH, Wang JR and Xu CW: Influence of lncRNA ANRIL on neuronal apoptosis in rats with cerebral infarction by regulating the NF-κB signaling pathway. Eur Rev Med Pharmacol Sci. 23:10092–10100. 2019.PubMed/NCBI View Article : Google Scholar | |
Chen J, Zhang W, Wu YQ, Chen H and Zhao JF: LncRNA SNHG1 inhibits neuronal apoptosis in cerebral infarction rats through PI3K/Akt signaling pathway. Eur Rev Med Pharmacol Sci. 23:5366–5373. 2019.PubMed/NCBI View Article : Google Scholar | |
Huang L, Jiang X, Wang Z, Zhong X, Tai S and Cui Y: Small nucleolar RNA host gene 1: A new biomarker and therapeutic target for cancers. Pathol Res Pract. 214:1247–1252. 2018.PubMed/NCBI View Article : Google Scholar | |
Kaur C, Sivakumar V, Zou Z and Ling EA: Microglia-derived proinflammatory cytokines tumor necrosis factor-alpha and interleukin-1beta induce Purkinje neuronal apoptosis via their receptors in hypoxic neonatal rat brain. Brain Struct Funct. 219:151–170. 2014.PubMed/NCBI View Article : Google Scholar | |
Ma Y, Wang J, Wang Y and Yang GY: The biphasic function of microglia in ischemic stroke. Prog Neurobiol. 157:247–272. 2017.PubMed/NCBI View Article : Google Scholar | |
Mo Z, Tang C, Li H, Lei J, Zhu L, Kou L, Li H, Luo S, Li C, Chen W and Zhang L: Eicosapentaenoic acid prevents inflammation induced by acute cerebral infarction through inhibition of NLRP3 inflammasome activation. Life Sci. 242(117133)2020.PubMed/NCBI View Article : Google Scholar | |
Qi X, Shao M, Sun H, Shen Y, Meng D and Huo W: Long non-coding RNA SNHG14 promotes microglia activation by regulating miR-145-5p/PLA2G4A in cerebral infarction. Neuroscience. 348:98–106. 2017.PubMed/NCBI View Article : Google Scholar | |
Lu D, Shen L, Mai H, Zang J, Liu Y, Tsang CK, Li K and Xu A: HMG-CoA reductase inhibitors attenuate neuronal damage by suppressing oxygen glucose deprivation-induced activated microglial cells. Neural Plast. 2019(7675496)2019.PubMed/NCBI View Article : Google Scholar | |
Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001.PubMed/NCBI View Article : Google Scholar | |
Chen XY, Wang Q, Wang X and Wong KS: Clinical features of thalamic stroke. Curr Treat Options Neurol. 19(5)2017.PubMed/NCBI View Article : Google Scholar | |
Liang Y, Wu J, Liu J, Liu H and Chen J: The clinical implications of thrombelastography in the diagnosis of acute cerebral infarction. Clin Lab. 64:147–152. 2018.PubMed/NCBI View Article : Google Scholar | |
Zhang L, Luo X, Chen F, Yuan W, Xiao X, Zhang X, Dong Y, Zhang Y and Liu Y: LncRNA SNHG1 regulates cerebrovascular pathologies as a competing endogenous RNA through HIF-1α/VEGF signaling in ischemic stroke. J Cell Biochem. 119:5460–5472. 2018.PubMed/NCBI View Article : Google Scholar | |
Prinz M, Jung S and Priller J: Microglia biology: One century of evolving concepts. Cell. 179:292–311. 2019.PubMed/NCBI View Article : Google Scholar | |
Nayak D, Roth TL and McGavern DB: Microglia development and function. Annu Rev Immunol. 32:367–402. 2014.PubMed/NCBI View Article : Google Scholar | |
Wolf SA, Boddeke HW and Kettenmann H: Microglia in physiology and disease. Annu Rev Physiol. 79:619–643. 2017.PubMed/NCBI View Article : Google Scholar | |
Bartels T, De Schepper S and Hong S: Microglia modulate neurodegeneration in Alzheimer's and Parkinson's diseases. Science. 370:66–69. 2020.PubMed/NCBI View Article : Google Scholar | |
Aggarwal R, Jain AK, Mittal P, Kohli M, Jawanjal P and Rath G: Association of pro- and anti-inflammatory cytokines in preeclampsia. J Clin Lab Anal. 33(e22834)2019.PubMed/NCBI View Article : Google Scholar | |
Li Q, Hu X, Xuan Y, Ying J, Fei Y, Rong J, Zhang Y, Zhang J, Liu C and Liu Z: Kaempferol protects ethanol-induced gastric ulcers in mice via pro-inflammatory cytokines and NO. Acta Biochim Biophys Sin (Shanghai). 50:246–253. 2018.PubMed/NCBI View Article : Google Scholar | |
Cao B, Wang T, Qu Q, Kang T and Yang Q: Long noncoding RNA SNHG1 promotes neuroinflammation in Parkinson's disease via regulating miR-7/NLRP3 pathway. Neuroscience. 388:118–127. 2018.PubMed/NCBI View Article : Google Scholar | |
Deng R, Zhang J and Chen J: lncRNA SNHG1 negatively regulates miRNA-101-3p to enhance the expression of ROCK1 and promote cell proliferation, migration and invasion in osteosarcoma. Int J Mol Med. 43:1157–1166. 2019.PubMed/NCBI View Article : Google Scholar | |
Yan SM, Li H, Shu Q, Wu WJ, Luo XM and Lu L: LncRNA SNHG1 exerts a protective role in cardiomyocytes hypertrophy via targeting miR-15a-5p/HMGA1 axis. Cell Biol Int. 44:1009–1019. 2020.PubMed/NCBI View Article : Google Scholar |