Potential microRNA biomarkers for acute ischemic stroke

International Journal of Molecular Medicine

Volumn 36, Issue 6, 2015, Pages 1639-1647

  Zeng, Ye ^a   Liu, Jing Xia ^a   Yan, Zhi Ping ^a   Yao, Xing Hong ^b   Liu, Xiao Heng ^a  

^a SICHUAN UNIVERSITY   (China)

^b SUN YAT SEN UNIVERSITY CANCER CENTER   (China)

Author keywords

Acute; Atherosclerotic plaque; Biomarkers; MicroRNA; Stroke

Indexed keywords

ACID PHOSPHATASE TARTRATE RESISTANT ISOENZYME; ACID PHOSPHATASE TARTRATE RESISTANT ISOENZYME 5; CHEMOKINE; CHEMOKINE RECEPTOR CCR1; CONTACTIN; CONTACTIN 4; DIPEPTIDYL PEPTIDASE IV; ENDOTHELIAL LEUKOCYTE ADHESION MOLECULE 1; GAMMA INTERFERON INDUCIBLE PROTEIN 10; GELATINASE B; GLUTAMATE RECEPTOR 2; GUANINE NUCLEOTIDE EXCHANGE FACTOR; HEME OXYGENASE 1; MICRORNA; MICRORNA 124; MICRORNA 125; MICRORNA 181; MICRORNA 197; MICRORNA 218; MICRORNA 22; MICRORNA 23; MICRORNA 30; MICRORNA 33; MICRORNA 330; MICRORNA 452; MICRORNA 524; MICRORNA 9; PLECKSTRIN; RGS PROTEIN; THYROID HORMONE RECEPTOR BETA; UNCLASSIFIED DRUG; BIOLOGICAL MARKER;

ARTICLE; ATHEROSCLEROTIC PLAQUE; BRAIN ISCHEMIA; CELL ADHESION; CLINICAL ARTICLE; DOWN REGULATION; GENE EXPRESSION; HUMAN; HUMAN TISSUE; PRIORITY JOURNAL; PROTEIN PROTEIN INTERACTION; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; RISK FACTOR; SIGNAL TRANSDUCTION; SKELETAL MUSCLE; STROKE PATIENT; UPREGULATION; WOUND CONTRACTION; WOUND HEALING; BIOLOGY; CLUSTER ANALYSIS; COMPLICATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETIC DATABASE; GENETICS; METABOLISM; PROCEDURES; STROKE;

BIOMARKERS; BRAIN ISCHEMIA; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HUMANS; MICRORNAS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REVERSE TRANSCRIPTASE POLYMERASE CHAIN REACTION; RISK FACTORS; STROKE;

EID: 84945415957     PISSN: 11073756     EISSN: 1791244X     Source Type: Journal    
DOI: 10.3892/ijmm.2015.2367     Document Type: Article

References (45)

1. Lopez AD, Mathers CD, Ezzati M, Jamison DT and Murray CJ: Global and regional burden of disease and risk factors, 2001: Systematic analysis of population health data. Lancet 367: 1747 1757, 2006.
2. World Health Organization: The Global Burden of Disease: 2004 Update, 2008.
3. Ding Z, Tong WC, Lu XX and Peng HP: Hyperbaric oxygen therapy in acute ischemic stroke: a review. Interv Neurol 2: 201 211, 2014.
4. Krafft PR, Bailey EL, Lekic T, Rolland WB, Altay O, Tang J, Wardlaw JM, Zhang JH and Sudlow CL: Etiology of stroke and choice of models. Int J Stroke 7: 398 406, 2012.
5. Warlow C, Sudlow C, Dennis M, Wardlaw J and Sandercock P: Stroke. Lancet 362: 1211 1224, 2003.
6. Herson PS, Palmateer J and Hurn PD: Biological sex and mechanisms of ischemic brain injury. Transl Stroke Res 4: 413 419, 2013.
7. Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Blaha MJ, Dai S, Ford ES, Fox CS, Franco S, et al; American Heart Association Statistics Committee and Stroke Statistics Subcommittee: Heart disease and stroke statistics-2014 update: a report from the American Heart Association. Circulation 129: e28 e292, 2014.
8. Yong H, Foody J, Linong J, Dong Z, Wang Y, Ma L, Meng HJ, Shiff S and Dayi H: A systematic literature review of risk factors for stroke in China. Cardiology Rev 21: 77-93, 2013.
9. He J, Klag MJ, Wu Z and Whelton PK: Stroke in the People's Republic of China. ? Meta analysis of hypertension and risk of stroke. Stroke 26: 2228 2232, 1995.
10. Janardhan V and Qureshi AI: Mechanisms of ischemic brain injury. Curr Cardiol Rep 6: 117 123, 2004.
11. Kikuchi K, Miura N, Kawahara KI, Murai Y, Morioka M, Lapchak PA and Tanaka E: Edaravone (Radicut), a free radical scavenger, is a potentially useful addition to thrombolytic therapy in patients with acute ischemic stroke. Biomed Rep 1: 7 12, 2013.
12. Golledge J, Greenhalgh RM and Davies AH: The symptomatic carotid plaque. Stroke 31: 774 781, 2000.
13. Milei J, Parodi JC, Alonso GF, Barone A, Grana D and Matturri L: Carotid rupture and intraplaque hemorrhage: immunophenotype and role of cells involved. Am Heart J 136: 1096 1105, 1998.
14. Milei J, Parodi JC, Ferreira M, Barrone A, Grana DR and Matturri L: Atherosclerotic plaque rupture and intraplaque hemorrhage do not correlate with symptoms in carotid artery stenosis. J Vasc Surg 38: 1241 1247, 2003.
15. van der Wal AC, Becker AE, van der Loos CM and Das PK: Site of intimal rupture or erosion of thrombosed coronary atherosclerotic plaques is characterized by an inflammatory process irrespective of the dominant plaque morphology. Circulation 89: 36 44, 1994.
16. Russo G and Giordano A: miRNAs: from biogenesis to networks. Methods Mol Biol 563: 303 352, 2009.
17. Chen X, Ba Y, Ma L, Cai X, Yin Y, Wang K, Guo J, Zhang Y, Chen J, Guo X, et al: Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res 18: 997 1006, 2008.
18. Lorenzen JM, Volkmann I, Fiedler J, Schmidt M, Scheffner I, Haller H, Gwinner W and Thum T: Urinary miR 210 as a mediator of acute T cell mediated rejection in renal allograft recipients. Am J Tranplant 11: 2221 2227, 2011.
19. Rink C and Khanna S: MicroRNA in ischemic stroke etiology and pathology. Physiol Genomics 43: 521 528, 2011.
20. Tan JR, Koo YX, Kaur P, Liu F, Armugam A, Wong PT and Jeyaseelan K: microRNAs in stroke pathogenesis. Curr Mol Med 11: 76 92, 2011.
21. Bates DJ, Li N, Liang R, Sarojini H, An J, Masternak MM, Bartke A and Wang E: MicroRNA regulation in Ames dwarf mouse liver may contribute to delayed aging. Aging Cell 9: 1 18, 2010.
22. Tan KS, Armugam A, Sepramaniam S, Lim KY, Setyowati KD, Wang CW and Jeyaseelan K: Expression profile of MicroRNAs in young stroke patients. PLoS One 4: e7689, 2009.
23. Ayari H and Bricca G: Identification of two genes potentially associated in iron heme homeostasis in human carotid plaque using microarray analysis. J Biosci 38: 311 315, 2013.
24. Stary HC, Chandler AB, Dinsmore RE, Fuster V, Glagov S, Insull W Jr, Rosenfeld ME, Schwartz CJ, Wagner WD and Wissler RW: A definition of advanced types of atherosclerotic lesions and a histological classification of atherosclerosis. A report from the Committee on Vascular Lesions of the Council on Arteriosclerosis, American Heart Association. Circulation 92: 1355 1374, 1995.
25. Fujita A, Sato JR, Rodrigues LO, Ferreira CE and Sogayar MC: Evaluating different methods of microarray data normalization. BMC Bioinformatics 7: 469, 2006.
26. Butte AJ, Ye J, Häring HU, Stumvoll M, White MF and Kohane IS: Determining significant fold differences in gene expression analysis. Pac Symp Biocomput 2001: 6 17, 2001.
27. Gentleman R, Carey V, Huber W, Irizarry RA and Dudoit S (eds) Bioinformatics and computational biology solutions using R and Bioconductor. Vol. 746718470. Springer-Verlag New York, NY, 2005.
28. Benjamini Y and Hochberg Y: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc 57: 289 300, 1995.
29. Zhang B, Kirov S and Snoddy J: WebGestalt: An integrated system for exploring gene sets in various biological contexts. Nucleic Acids Res 33 (Suppl 2): W741 W748, 2005.
30. Duncan D, Prodduturi N and Zhang B: WebGestalt2: An updated and expanded version of the Web based Gene Set Analysis Toolkit. BMC Bioinformatics 11 (Suppl 4): 10, 2010.
31. Lodes MJ, Caraballo M, Suciu D, Munro S, Kumar A and Anderson B: Detection of cancer with serum miRNAs on an oligonucleotide microarray. PLoS One 4: e6229, 2009.
32. Griffiths Jones S, Saini HK, van Dongen S and Enright AJ: miRBase: tools for microRNA genomics. Nucleic Acids Res 36: D154 D158, 2008.
33. 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.
34. Szklarczyk D, Franceschini A, Kuhn M, Simonovic M, Roth A, Minguez P, Doerks T, Stark M, Muller J, Bork P, et al: The STRING database in 2011: Functional interaction networks of proteins, globally integrated and scored. Nucleic Acids Res 39 (Suppl 1): D561 D568, 2011.
35. Smoot ME, Ono K, Ruscheinski J, Wang P L and Ideker T: Cytoscape 2.8: new features for data integration and network visualization. Bioinformatics 27: 431 432, 2011.
36. Li C and Hung Wong W: Model based analysis of oligonucleotide arrays: model validation, design issues and standard error application. Genome Biol 2: RESEARCH0032, 2001.
37. Deza MM and Deza E Encyclopedia of distances. Springer Berlin 2009.
38. Maere S, Heymans K and Kuiper M: BiNGO: a Cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks. Bioinformatics 21: 3448 3449, 2005.
39. Kim JS and Bonovich D: Research on intracranial atherosclerosis from the East and west: why are the results different? J Stroke 16: 105 113, 2014.
40. Lv B, Zhao J, Yang F, Huang X, Chen G, Yang K, Liu S, Fan C, Fu H and Chen Z: Phenotypic transition of corpus cavernosum smooth muscle cells subjected to hypoxia. Cell Tissue Res 357: 823 833, 2014.
41. Miller CL, Murakami P, Ruczinski I, Ross RG, Sinkus M, Sullivan B and Leonard S: Two complex genotypes relevant to the kynurenine pathway and melanotropin function show association with schizophrenia and bipolar disorder. Schizophr Res 113: 259 267, 2009.
42. Takaya N, Yuan C, Chu B, Saam T, Underhill H, Cai J, Tran N, Polissar NL, Isaac C, Ferguson MS, et al: Association between carotid plaque characteristics and subsequent ischemic cerebrovascular events: a prospective assessment with MRI initial results. Stroke 37: 818 823, 2006.
43. Falk E: Why do plaques rupture? Circulation 86 (Suppl): ?30 ?42, 1992.
44. Ribatti D, Levi Schaffer F and Kovanen PT: Inflammatory angiogenesis in atherogenesis a double edged sword. Ann Med 40: 606 621, 2008.
45. Milei J, Parodi JC, Fernandez Alonso G, Barone A, Beigelman R, Ferreira LM, Arrigoni G and Matturri L: Carotid atherosclerosis. Immunocytochemical analysis of the vascular and cellular composition in endarterectomies. Cardiologia 41: 535 542, 1996.