Upregulation of miR-142-5p in atherosclerotic plaques and regulation of oxidized low-density lipoprotein-induced apoptosis in macrophages
- Authors:
- Published online on: January 13, 2015 https://doi.org/10.3892/mmr.2015.3191
- Pages: 3229-3234
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Copyright: © Xu et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY_NC 3.0].
Abstract
Introduction
Atherosclerosis is a chronic inflammatory and fibroproliferative disease. Effective results have not been achieved by controlling and intervening with the associated risk factors, including smoking, dyslipidemia, hypertension and diabetes (1–3). Therefore, these risk factors may not fully explain the occurrence and development of atherosclerosis and other targets of atherosclerosis require identification.
MicroRNAs (miRNAs) are small (~23 nt), non-coding RNAs that regulate gene expression at the post-transcriptional level. MiRNAs have been shown to have an important role in the development and progression of atherosclerosis (4–6). They are expressed in a tissue-specific manner and are associated with cell proliferation, apoptosis and differentiation (7,8). MiRNAs have been previously implicated in atherosclerotic plaque formation, caused by hyperlipidemia and hypertension (9,10). MiRNAs have also been directly associated with anti-atherosclerotic signals in vascular smooth muscle and endothelial cells (11). The exact mechanisms of the role of miRNAs in atherosclerosis remain to be elucidated.
MiR-142-5p is a member of the miR-142 miRNA family which have known roles in cancer, immune diseases and embryonic stem cells (12,13). However, the expression of miR-142-5p in atherosclerotic plaque and its roles in atherosclerosis are currently unclear.
In the present study, the expression levels of miR-142-5p were detected in murine atherosclerotic plaques and human macrophages. The present study also aimed to identify miR-142-5p target genes, and its effects on apoptosis in macrophages.
Materials and methods
Materials
The following reagents, kits, primers and cells were used and sourced from the following companies: Anti-rabbit transforming growth factor-β2 (TGF-β2) monoclonal antibody (ProteinTech Group, Inc., Chicago, IL, USA); anti-mouse GAPDH monoclonal antibody (SunShineBio, Nanjing, China); miR-142-5p primers (Exiqon Co., Copenhagen, Denmark); TGF-β2 primers (ShangDe Biomedical Engineering, Shanghai, China); total RNA extraction kit (TRIzol®; Invitrogen Life Technologies, Carlsbad, CA, USA); THP-1 human monocytes, smooth muscle and endothelial cells (American Type Culture Collection, Manassas, VA, USA). Other reagents used throughout the present study were obtained from the Key Laboratory of Cardiovascular Remodeling and Function Research, Qilu Hospital, Shandong University, (Jinan, China).
Animals
Apolipoprotein E−/− (apoE−/−) mice were purchased from WeiTong LiHua Co. (Beijing, China). The animal experiments were approved by the Institutional Animal Care and Use Committee of Shandong University (Jinan, China).
Animal model of atherosclerosis
The eight-week-old male apoE−/− mice were fed a high-fat diet, that consisted of a standard diet plus 2% cholesterol and 5% lard oil, for two weeks, following a three day standard diet. The mice were then intraperitoneally injected with 0.08% sodium pentobarbital (40 mg/kg; Beijing OuHe Technology Co., Ltd., Beijing, China) and underwent surgery. Carotid atherosclerotic plaques were induced in the mice using perivascular constrictive collars, which were placed on the right common carotid artery, as described by previous methods (14). The mice were divided into three groups (n= 12/group): Control, stable plaque, and vulnerable plaque. The mice then received a high-fat diet for a further 12 weeks. The vulnerable plaque group underwent Pisa syndrome noise interference for four weeks during the 12 week period. In brief, experimental mice were kept in a 50 ml plastic pipe with a covered end and a through hole and then subjected to 110 dB noise stimulation intensity for 30 sec (Beijing Great Wall Radio Factory, Beijing, China), every 5 min for 6 h/day. All of the mice were sacrificed by cervical dislocation and blood samples (1 ml) were obtained from the abdominal vein and stored at −80°C, until further use. Sections of the carotid arteries were cut in optimal cutting temperature compound medium, and stored in liquid nitrogen, until further use.
Gene microarray analysis for miR-142-5p expression
The isolated carotid artery sections were removed from liquid nitrogen and the vascular peripheral tissue was placed on ice. The expression levels of miR-142-5p, in the atherosclerotic plaques, were determined using a miRNA microarray assay with rat miRNA array probes (Kangchen Bio-tech Inc., Shanghai, China).
Cell culture and transfection
Primary human endothelial cells and human macrophages were obtained from the American Type Culture Collection (Manassas, VA, USA) and were cultured in RPMI-1640 medium (Gibco Life Technologies, Carlsbad, CA, USA) supplemented with 10% fetal bovine serum (FBS; Beijing Solarbio Science & Technology Co., Ltd., Beijing, China) at 37°C in a 5% CO2 atmosphere. Human smooth muscle cells were cultured in a medium of 2% FBS, 1% smooth muscle cell growth supplement and 1% penicillin/streptomycin (Xiang Bo Biological Technology Co., Guangzhou, China) under identical conditions. The media were refreshed every 2–3 days. The cells from passages 3–5 were used for the following experiments. Following culture, cell aliquots were transferred to freezing tubes with cell freezing medium and stored at −80°C overnight and then preserved in a liquid nitrogen tank until further used. Cell were seeded onto six-well plates, when cell confluence reached 70% 5 μl diethylpyrocarbonate (1:10 dilution; Beijing Solarbio Science & Technology Co., Ltd.,) of mir-142-5p inhibitor (Shanghai GenePharma Co., Ltd., Shanghai, China) was added to 250 μl Opti-MEM (Gibco Life Technologies) culture medium and incubated at room temperature for 5 min. Subsequently, 2.5 μl Lipofectamine 2000 (Shanghai Yijie Biotechnology Co., Ltd., Shanghai, China) was added to 250 μl Opti-MEM culture medium and incubated at room temperature for 5 min. The liposome suspension was then added to the mir-142-5p inhibitor liquid and incubated at room temperature for 15 min. The suspension was then added to the cells and incubated for 6 h, the medium was then replaced and the cells were cultured for a further 48 h. To study the miR-142-5p expression levels, the cells were divided into two treatment groups: Control and oxidized low-density lipoprotein treated (ox-LDL; 90 μl, 50 mg/ml, for 24 h). To study TGF-β2 expression levels in the macrophages, the cells were divided into five groups: Control, control + ox-LDL, miR-142-5p inhibitor transfection + ox-LDL, miR-142-5p mimic transfection, and negative control (NC) + ox-LDL. To investigate the effects of miR-142-5p on the rate of apoptosis of human macrophages, the cells were divided into seven groups: Control, control + ox-LDL, miR-142-5p inhibitor transfection + ox-LDL, TGF-β2 inhibitor transfection + miR-142 -5p inhibitor + ox-LDL, miR-142-5p mimic transfection, TGF-β2 inhibitor + ox-LDL, N.C + ox-LDL.
Quantitative polymerase chain reaction
Total RNA was extracted from the human endothelial cells, smooth muscle cells and macrophages using TRIzol®. A total of 1 μg RNA, from each group, was reverse transcribed using the PrimeScript RT Reagent kit (Takara Bio Inc., Otsu, Japan), and the qPCR was performed using the Bio-Rad IQ5 Real-Time PCR Detection system (Bio-Rad Laboratories Inc., Hercules, CA, USA). All reagents used for qPCR were from this detection system unless otherwise stated. The reaction system consisted of 10 μl SYRB Green Mix (Takara Bio, Inc.), 2 μl miRNA primer mix and 8 μl diluted cDNA. The following primer sequences were used: TGF-β2 forward, 5′-ACAAAATAGACATGCCGCCC-3′, and reverse, 5′-GATGGCATCAAGGTACCCACAG-3′; Hsa-miR-142-5p forward, 5′-AACTCCAGCTGGTCCTTAG-3′, and reverse, 5′-TCTTGAACCCTCATCCTGT-3′; Hsa-miR-142-5p inhibitor were, 5′-AGUAGUGCUUUCUACUUUAUG-3′; Hsa-miR-142-5p mimic forward, 5′-CAUAAAGUAGAAAGCACUACU-3′, and reverse, 5′-UAGUGCUUUCUACUUUAUGUU-3′. The housekeeping genes U6 or β-actin were used as internal controls. Primer sequences were as follows: U6 forward, 5′-CTCGCTTCGGCAGAC-3′ and reverse, 5′-AACGCTTACGAATTT -3′; β-actin forward, 5′-CGTGCGTGACATTAAGGAGA′-3′ and reverse, 5′-CACCTTCACCGTTCCAGTTT-3′. The cycling conditions were as follows: Initial denaturation at 95°C for 10 min followed by 40 cycles of 95°C for 10 sec, 56°C for 10 sec and 72°C for 30 sec. qPCR concluded with 65°C for 30 sec and 70°C for 30 sec. Changes in the gene expression levels were calculated using the cycle threshold (Ct) comparison method, by the formula 2−ΔΔCt.
Western blotting
The cell lysates from the treated macrophages were prepared, as described previously (15). The Bio-Rad Protein Assay Reagent kit (Bio-Rad Laboratories Inc.) was used to measure protein concentrations. The protein samples (20 μg) were separated using 10% SDS-PAGE, at 90 V for 1 h and transferred electrophoretically to polyvinylidene fluoride membranes (Millipore, Bellerica, MA, USA), at 110 mA for 0.5 h. The membranes were then blocked with 5% milk for 2 h at room temperature, and incubated with the primary antibodies at 4°C overnight. The membranes were washed three times with tris-buffered saline containing Tween® (10 min/wash), and then incubated with a secondary horseradish peroxidase-labeled antibody at room temperature for 1.5 h. The signals were visualized using an Enhanced Chemiluminescence substrate (GE Healthcare Life Sciences, Chalfont, UK).
Apoptosis detection
The number of apoptotic human macrophages was quantified using the Annexin V-PE Apoptosis Detection kit (Beyotime Institute of Biotechnology, Hainen, China). The apoptotic cells were calculated as number of apoptotic cells/total cell number × 100%.
Statistical analysis
The data analysis was carried out using SPSS version 17.0 (SPSS Inc., Chicago, IL, USA). The data are presented as the means ± standard error of the mean. Statistical comparisons were performed using a paired student’s t test and an analysis of variance. A P<0.05 was considered to indicate a statistically significant difference.
Results
Expression levels of miR-142-5p are upregulated in the atherosclerotic plaques of mice
The expression levels of miR-142-5p were 6.84-fold higher in the mice with stable plaques, and was 2.69-fold higher in the mice with vulnerable plaques, as compared with the controls (Fig. 1).
Expression levels of miR-142-5p are upregulated in human macrophages treated with ox-LDL
The expression levels of miR-142-5p in the human macrophages treated with ox-LDL were upregulated, as compared with the control macrophages (P<0.05). However, there were no marked differences from the controls in either the endothelial or smooth muscle cells (Fig. 2).
TGF-β2 is predicted to be a target gene of miR-142-5p
miRanda (www.microrna.org/microrna/home.do) target-gene prediction software was used to predict the target gene of miR-142-5p, and TGF-β2 was predicted to be the most probable target gene. To verify whether TGF-β2 was a target gene, a miR-142-5p inhibitor and mimic were transfected into macrophages. The expression levels of TGF-β2 were higher in the cells transfected with the miR-142-5p inhibitor and treated with ox-LDL, as compared with the cells undergoing ox-LDL treatment alone (P<0.05; Fig. 4), and were the lowest when the cells were transfected with the miR-142-5p mimic (P<0.05). These results suggest that TGF-β2 may be a target gene of miR-142-5p.
Discussion
Tissue-specific expression is an important characteristic of miRNA expression (16). The present study demonstrated that miR-142-5p expression was upregulated in atherosclerotic plaques obtained from apoE−/− mice. In addition, miR-142-5p was shown to be associated with the apoptosis of macrophages, through the regulation of its predicted target gene, TGF-β2.
MiRNAs are small, non-coding, highly conserved RNAs that regulate gene expression at the posttranscriptional level (17–19). MiRNAs may negatively regulate gene expression either by promoting the decomposition of mRNAs, or inhibiting the translation of protein (20,21). MiRNAs have been shown to have an important role in cardiovascular diseases, including atherosclerosis (22–24), and can regulate the functions of endothelial cells, macrophages and vascular smooth muscle cells (25–28). They have previously been demonstrated to modulate every stage of atherosclerosis, by different stimuli (29–31).
MiR-142-5p is a member of the miR-142 family, which is involved in the pathogenesis of various diseases (13,32,33). Previous research into miR-142-5p has mainly focused on its associations with tumors, immune diseases and stem cells (32); however, its role in atherosclerosis remains unknown. In the present study, an atherosclerotic plaque apoE−/− mouse model was generated and the expression levels of miR-142-5p were upregulated in the atherosclerotic plaques of the apoE−/− mice.
Atherosclerosis is a chronic non-resolving inflammatory disease. Monocytes/macrophages are major immune cells, which are thought to be responsible for the development of atherosclerosis (34–36). In the present study, significant miR-142-5p expression was detected in macrophages, but not endothelial or smooth muscle cells. Apoptosis of macrophages has been shown to contribute to both early and advanced atherosclerosis (37,38). The accumulation of apoptotic macrophages leads to secondary necrosis, necrotic core enlargement and plaque instability (39,40). Furthermore, macrophages have been shown to be involved in cell apoptosis in atherosclerotic plaques, through targeting specific control genes (40,42). The present study determined that apoptosis of macrophages could be affected by miR-142-5p.
MiRNAs negatively regulate the expression of target genes. A database-based target gene prediction software predicted that TGF-β2 was the most probable target gene of miR-142-5p. To verify whether TGF-β2 was the target of miR-142-5p, an inhibitor and a mimic of miR-142-5p were transfected into macrophages, and the effects were observed on TGF-β2 protein and mRNA expression levels. The results verified that TGF-β2 was the likely target gene of miR-142-5p. TGF-β2 is a cytokine associated with a variety of functions, it has previously been shown to participate in cell proliferation, apoptosis and differentiation (42–45). It has an important role in the pathophysiological processes of tissue repair, inflammation, arterial atherosclerosis and cancer (45–48). In the present study, miR-142-5p was shown to be associated with the apoptosis of macrophages by negatively regulating TGF-β2. In conclusion, miR-142-5p was shown to be involved in atherosclerosis in mice, and TGF-β2 was identified as its target. MiR-142-5p was shown to regulate macrophage apoptosis by targeting TGF-β2. The present study provides a novel target for further study of atherosclerosis.
Acknowledgements
The present study was supported by the National Basic Research Program of China (973 Program; nos. 2010CB732605 and 2011CB503906), the HI-TECH Technique and Development Program of China (863 Program, no. 2007AA02Z448), the National Natural Science Foundation of China (nos. 81270404 and 30970709), Science Program of Shandong Province (no. 2006GG2202039).
References
Rodrigues AN, Abreu GR, Resende RS, Goncalves WL and Gouvea SA: Cardiovascular risk factor investigation: a pediatric issue. Int J Gen Med. 6:57–66. 2013. View Article : Google Scholar : PubMed/NCBI | |
Cesarino EJ, Vituzzo AL, Sampaio JM, Ferreira DA, Pires HA and de Souza L: Assessment of cardiovascular risk of patients with arterial hypertension of a public health unit. Einstein (Sao Paulo). 10:33–38. 2012. View Article : Google Scholar | |
Pollex RL, Spence JD, House AA, et al: A comparison of ultrasound measurements to assess carotid atherosclerosis development in subjects with and without type 2 diabetes. Cardiovasc Ultrasound. 3:152005. View Article : Google Scholar : PubMed/NCBI | |
Small EM and Olson EN: Pervasive roles of microRNAs in cardiovascular biology. Nature. 469:336–342. 2011. View Article : Google Scholar : PubMed/NCBI | |
Chang TC and Mendell JT: microRNAs in vertebrate physiology and human disease. Annu Rev Genomics Hum Genet. 8:215–239. 2007. View Article : Google Scholar : PubMed/NCBI | |
Mendell JT and Olson EN: MicroRNAs in stress signaling and human disease. Cell. 148:1172–1187. 2012. View Article : Google Scholar : PubMed/NCBI | |
He L and Hannon GJ: MicroRNAs: small RNAs with a big role in gene regulation. Nat Rev Genet. 5:522–531. 2004. View Article : Google Scholar : PubMed/NCBI | |
Amelio I, Lena AM, Viticchie G, et al: miR-24 triggers epidermal differentiation by controlling actin adhesion and cell migration. J Cell Biol. 199:347–363. 2012. View Article : Google Scholar : PubMed/NCBI | |
Donners MM, Wolfs IM, Stöger LJ, et al: Hematopoietic miR155 deficiency enhances atherosclerosis and decreases plaque stability in hyperlipidemic mice. PLoS One. 7:e358772012. View Article : Google Scholar : PubMed/NCBI | |
Nossent AY, Hansen JL, Doggen C, Quax PH, Sheikh SP and Rosendaal FR: SNPs in microRNA binding sites in 3′-UTRs of RAAS genes influence arterial blood pressure and risk of myocardial infarction. Am J Hypertens. 24:999–1006. 2011. View Article : Google Scholar : PubMed/NCBI | |
Hergenreider E, Heydt S, Tréguer K, et al: Atheroprotective communication between endothelial cells and smooth muscle cells through miRNAs. Nat Cell Biol. 14:249–256. 2012. View Article : Google Scholar : PubMed/NCBI | |
Kwanhian W, Lenze D, Alles J, et al: MicroRNA-142 is mutated in about 20% of diffuse large B-cell lymphoma. Cancer Med. 1:141–155. 2012. View Article : Google Scholar | |
Saito Y, Suzuki H, Tsugawa H, Imaeda H, Matsuzaki J, Hirata K, et al: Overexpression of miR-142-5p and miR-155 in gastric mucosa-associated lymphoid tissue (MALT) lymphoma resistant to Helicobacter pylori eradication. PLoS One. 7:e473962012. View Article : Google Scholar : PubMed/NCBI | |
von der Thüsen JH, van Berkel TJ and Biessen EA: Induction of rapid atherogenesis by perivascular carotid collar placement in apolipoprotein E-deficient and low-density lipoprotein receptor-deficient mice. Circulation. 103:1164–1170. 2001. View Article : Google Scholar : PubMed/NCBI | |
Wang XL, Zhang L, Youker K, et al: Free fatty acids inhibit insulin signaling-stimulated endothelial nitric oxide synthase activation through upregulating PTEN or inhibiting Akt kinase. Diabetes. 55:2301–2310. 2006. View Article : Google Scholar : PubMed/NCBI | |
Lagos-Quintana M, Rauhut R, Yalcin A, Meyer J, Lendeckel W and Tuschl T: Identification of tissue-specific microRNAs from mouse. Curr Biol. 12:735–739. 2002. View Article : Google Scholar : PubMed/NCBI | |
Guo H, Ingolia NT, Weissman JS and Bartel DP: Mammalian microRNAs predominantly act to decrease target mRNA levels. Nature. 466:835–840. 2010. View Article : Google Scholar : PubMed/NCBI | |
Baek D, Villén J, Shin C, Camargo FD, Gygi SP and Bartel DP: The impact of microRNAs on protein output. Nature. 455:64–71. 2008. View Article : Google Scholar : PubMed/NCBI | |
Pasquinelli AE, Hunter S and Bracht J: MicroRNAs: a developing story. Curr Opin Genet Dev. 15:200–205. 2005. View Article : Google Scholar : PubMed/NCBI | |
Bartel DP: MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 116:281–297. 2004. View Article : Google Scholar : PubMed/NCBI | |
Farh KK, Grimson A, Jan C, et al: The widespread impact of mammalian MicroRNAs on mRNA repression and evolution. Science. 310:1817–1821. 2005. View Article : Google Scholar : PubMed/NCBI | |
Nazari-Jahantigh M, Wei Y, Noels H, et al: MicroRNA-155 promotes atherosclerosis by repressing Bcl6 in macrophages. J Clin Invest. 122:4190–4202. 2012. View Article : Google Scholar : PubMed/NCBI | |
Sun X, Zhang M, Sanagawa A, et al: Circulating microRNA-126 in patients with coronary artery disease: correlation with LDL cholesterol. Thromb J. 10:162012. View Article : Google Scholar : PubMed/NCBI | |
Zhang E and Wu Y: MicroRNAs: important modulators of oxLDL-mediated signaling in atherosclerosis. J Atheroscler Thromb. 20:215–227. 2013. View Article : Google Scholar | |
Xie C, Huang H, Sun X, et al: MicroRNA-1 regulates smooth muscle cell differentiation by repressing Kruppel-like factor 4. Stem Cells Dev. 20:205–210. 2011. View Article : Google Scholar : | |
Tréguer K, Heinrich EM, Ohtani K, Bonauer A and Dimmeler S: Role of the microRNA-17-92 cluster in the endothelial differentiation of stem cells. J Vasc Res. 49:447–460. 2012. View Article : Google Scholar : PubMed/NCBI | |
Chan YC, Roy S, Khanna S and Sen CK: Downregulation of endothelial microRNA-200b supports cutaneous wound angiogenesis by desilencing GATA binding protein 2 and vascular endothelial growth factor receptor 2. Arterioscler Thromb Vasc Biol. 32:1372–1382. 2012. View Article : Google Scholar : PubMed/NCBI | |
Tserel L, Runnel T, Kisand K, et al: MicroRNA expression profiles of human blood monocyte-derived dendritic cells and macrophages reveal miR-511 as putative positive regulator of Toll-like receptor 4. J Biol Chem. 286:26487–26495. 2011. View Article : Google Scholar : PubMed/NCBI | |
Urbich C, Kuehbacher A and Dimmeler S: Role of microRNAs in vascular diseases, inflammation, and angiogenesis. Cardiovasc Res. 79:581–588. 2008. View Article : Google Scholar : PubMed/NCBI | |
Virtue A, Mai J, Yin Y, et al: Structural evidence of anti-atherogenic microRNAs. Front Biosci (Landmark Ed). 16:3133–3145. 2011. View Article : Google Scholar | |
Shan Z, Yao C, Li ZL, et al: Differentially expressed microRNAs at different stages of atherosclerosis in ApoE-deficient mice. Chin Med J (Engl). 126:515–520. 2013. | |
Ding S, Liang Y, Zhao M, et al: Decreased microRNA-142-3p/5p expression causes CD4+ T cell activation and B cell hyperstimulation in systemic lupus erythematosus. Arthritis Rheum. 64:2953–2963. 2012. View Article : Google Scholar : PubMed/NCBI | |
Park S, Kang S, Min KH, et al: Age-associated changes in microRNA expression in bone marrow derived dendritic cells. Immunol Invest. 42:179–190. 2013. View Article : Google Scholar | |
Gray EE and Cyster JG: Lymph node macrophages. J Innate Immun. 4:424–436. 2012. View Article : Google Scholar : PubMed/NCBI | |
Hutchinson JA, Riquelme P, Geissler EK and Fändrich F: Isolation of murine macrophages. Methods Mol Biol. 6:181–192. 2011. | |
Chadban SJ, Wu H and Hughes J: Macrophages and kidney transplantation. Semin Nephrol. 30:278–289. 2010. View Article : Google Scholar : PubMed/NCBI | |
Seimon TA, Nadolski MJ, Liao X, et al: Atherogenic lipids and lipoproteins trigger CD36-TLR2-dependent apoptosis in macrophages undergoing endoplasmic reticulum stress. Cell Metab. 12:467–482. 2010. View Article : Google Scholar : PubMed/NCBI | |
Liao X, Sluimer JC, Wang Y, et al: Macrophage autophagy plays a protective role in advanced atherosclerosis. Cell Metab. 15:545–553. 2012. View Article : Google Scholar : PubMed/NCBI | |
Tsukano H, Gotoh T, Endo M, et al: The endoplasmic reticulum stress-C/EBP homologous protein pathway-mediated apoptosis in macrophages contributes to the instability of atherosclerotic plaques. Arterioscler Thromb Vasc Biol. 30:1925–1932. 2010. View Article : Google Scholar : PubMed/NCBI | |
Inagaki Y, Yamagishi S, Amano S, et al: Interferon-gamma-induced apoptosis and activation of THP-1 macrophages. Life Sci. 71:2499–2508. 2002. View Article : Google Scholar : PubMed/NCBI | |
Jin ZG, Lungu AO, Xie L, Wang M, Wong C and Berk BC: Cyclophilin A is a proinflammatory cytokine that activates endothelial cells. Arterioscler Thromb Vasc Biol. 24:1186–1191. 2004. View Article : Google Scholar : PubMed/NCBI | |
de Winther MP, Kanters E, Kraal G and Hofker MH: Nuclear factor kappaB signaling in atherogenesis. Arterioscler Thromb Vasc Biol. 25:904–914. 2005. View Article : Google Scholar : PubMed/NCBI | |
Beswick EJ, Pinchuk IV, Earley RB, Schmitt DA and Reyes VE: Role of gastric epithelial cell-derived transforming growth factor beta in reduced CD4+ T cell proliferation and development of regulatory T cells during Helicobacter pylori infection. Infect Immun. 79:2737–2745. 2011. View Article : Google Scholar : PubMed/NCBI | |
Bartram U, Molin DG, Wisse LJ, Mohamad A, Sanford LP, Doetschman T, et al: Double-outlet right ventricle and overriding tricuspid valve reflect disturbances of looping, myocardialization, endocardial cushion differentiation, and apoptosis in TGF-beta(2)-knockout mice. Circulation. 103:2745–2752. 2001. View Article : Google Scholar : PubMed/NCBI | |
Singla DK, Singla RD, Lamm S and Glass C: TGF-β2 treat ment enhances cytoprotective factors released from embryonic stem cells and inhibits apoptosis in infarcted myocardium. Am J Physiol Heart Circ Physiol. 300:H1442–H1450. 2011. View Article : Google Scholar : PubMed/NCBI | |
Mallat Z, Gojova A, Marchiol-Fournigault C, et al: Inhibition of transforming growth factor-beta signaling accelerates atherosclerosis and induces an unstable plaque phenotype in mice. Circ Res. 89:930–934. 2001. View Article : Google Scholar : PubMed/NCBI | |
Lyons RE, Anthony JP, Ferguson DJ, et al: Immunological studies of chronic ocular toxoplasmosis: up-regulation of major histocompatibility complex class I and transforming growth factor beta and a protective role for interleukin-6. Infect Immun. 69:2589–2595. 2001. View Article : Google Scholar : PubMed/NCBI | |
Sun CK, Chua MS, He J and So SK: Suppression of glypican 3 inhibits growth of hepatocellular carcinoma cells through up-regulation of TGF-beta2. Neoplasia. 13:735–747. 2011.PubMed/NCBI |