|
1
|
Dichgans M: Genetics of ischaemic stroke.
Lancet Neurol. 6:149–161. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Dirnagl U, Iadecola C and Moskowitz MA:
Pathobiology of ischaemic stroke: An integrated view. Trends
Neurosci. 22:391–397. 1999. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Palm F, Dos Santos M, Urbanek C, Greulich
M, Zimmer K, Safer A, Grau AJ and Becher H: Stroke seasonality
associations with subtype, etiology and laboratory results in the
Ludwigshafen Stroke Study (LuSSt). Eur J Epidemiol. 28:373–381.
2013. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Schellinger PD, Kaste M and Hacke W: An
update on thrombolytic therapy for acute stroke. Curr Opin Neurol.
17:69–77. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Ross R: Atherosclerosis-an inflammatory
disease. N Engl J Med. 340:115–126. 1999. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Teng Z, Sadat U, Brown AJ and Gillard JH:
Plaque hemorrhage in carotid artery disease: Pathogenesis, clinical
and biomechanical considerations. J Biomech. 47:847–858. 2014.
View Article : Google Scholar : PubMed/NCBI
|
|
7
|
McNally JS, McLaughlin MS, Hinckley PJ,
Treiman SM, Stoddard GJ, Parker DL and Treiman GS: Intraluminal
thrombus, intraplaque hemorrhage, plaque thickness, and current
smoking optimally predict carotid stroke. Stroke. 46:84–90. 2015.
View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Gimbrone MA Jr and García-Cardeña G:
Endothelial cell dysfunction and the pathobiology of
atherosclerosis. Circ Res. 118:620–636. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Luque MC, Gutierrez PS, Debbas V, Kalil J
and Stolf BS: CD100 and plexins B2 and B1 mediate
monocyte-endothelial cell adhesion and might take part in
atherogenesis. Mol Immunol. 67:559–567. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Wong HS, Jaumouille V, Freeman SA,
Doodnauth SA, Schlam D, Canton J, Mukovozov IM, Saric A, Grinstein
S and Robinson LA: Chemokine signaling enhances CD36 responsiveness
toward oxidized low-density lipoproteins and accelerates foam cell
formation. Cell Rep. 14:2859–2871. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Wang Z, Guo D, Yang B, Wang J, Wang R,
Wang X and Zhang Q: Integrated analysis of microarray data of
atherosclerotic plaques: Modulation of the ubiquitin-proteasome
system. PLoS One. 9:e1102882014. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Wang J, Wei B, Cao S, Xu F, Chen W, Lin H,
Du C and Sun Z: Identification by microarray technology of key
genes involved in the progression of carotid atherosclerotic
plaque. Genes Genet Syst. 89:253–258. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Perisic L, Aldi S, Sun Y, Folkersen L,
Razuvaev A, Roy J, Lengquist M, Åkesson S, Wheelock CE,
Maegdefessel L, et al: Gene expression signatures, pathways and
networks in carotid atherosclerosis. J Intern Med. 279:293–308.
2016. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
da Rocha RF, De Bastiani MA and Klamt F:
Bioinformatics approach to evaluate differential gene expression of
M1/M2 macrophage phenotypes and antioxidant genes in
atherosclerosis. Cell Biochem Biophys. 70:831–839. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Cipollone F, Felicioni L, Sarzani R,
Ucchino S, Spigonardo F, Mandolini C, Malatesta S, Bucci M,
Mammarella C, Santovito D, et al: A unique microRNA signature
associated with plaque instability in humans. Stroke. 42:2556–2563.
2011. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Reiner A, Yekutieli D and Benjamini Y:
Identifying differentially expressed genes using false discovery
rate controlling procedures. Bioinformatics. 19:368–375. 2003.
View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Sun J, Wen X, Jin F, Li Y, Hu J and Sun Y:
Bioinformatics analyses of differentially expressed genes
associated with bisphosphonate-related osteonecrosis of the jaw in
patients with multiple myeloma. Onco Targets Ther. 8:2681–2688.
2015. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Ashburner M, Ball CA, Blake JA, Botstein
D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT,
et al: Gene ontology: Tool for the unification of biology. The Gene
Ontology Consortium. Nat Genet. 25:25–29. 2000. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Croft D, O'Kelly G, Wu G, Haw R, Gillespie
M, Matthews L, Caudy M, Garapati P, Gopinath G, Jassal B, et al:
Reactome: A database of reactions, pathways and biological
processes. Nucleic Acids Res. 39(Database Issue): D691–D697. 2011.
View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Huang da W, Sherman BT and Lempicki RA:
Systematic and integrative analysis of large gene lists using DAVID
bioinformatics resources. Nat Protoc. 4:44–57. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
von Mering C, Huynen M, Jaeggi D, Schmidt
S, Bork P and Snel B: STRING: A database of predicted functional
associations between proteins. Nucleic Acids Res. 31:258–261. 2003.
View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Smoot ME, Ono K, Ruscheinski J, Wang PL
and Ideker T: Cytoscape 2.8: New features for data integration and
network visualization. Bioinformatics. 27:431–432. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Kou Y, Zhang S, Chen X and Hu S: Gene
expression profile analysis of colorectal cancer to investigate
potential mechanisms using bioinformatics. Onco Targets Ther.
8:745–752. 2015.PubMed/NCBI
|
|
24
|
Hatfield GW, Hung SP and Baldi P:
Differential analysis of DNA microarray gene expression data. Mol
Microbiol. 47:871–877. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Pende A, Artom N, Bertolotto M, Montecucco
F and Dallegri F: Role of neutrophils in atherogenesis: An update.
Eur J Clin Invest. 46:252–263. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Lee JS and Gotlieb AI: Understanding the
role of the cytoskeleton in the complex regulation of the
endothelial repair. Histol Histopathol. 18:879–887. 2003.PubMed/NCBI
|
|
27
|
Nam D and Kim SY: Gene-set approach for
expression pattern analysis. Brief Bioinform. 9:189–197. 2008.
View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Ammirati E, Moroni F, Magnoni M and Camici
PG: The role of T and B cells in human atherosclerosis and
atherothrombosis. Clin Exp Immunol. 179:173–187. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Zhou Q and Liao JK: Rho kinase: An
important mediator of atherosclerosis and vascular disease. Curr
Pharm Des. 15:3108–3115. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Mazzone A, Mazzucchelli I, Fossati G,
Gritti D, Girola S, Canale C, Cusa C and Ricevuti G: Iloprost
effects on phagocytes in patients suffering from ischaemic
diseases: In vivo evidence for down-regulation of alpha M beta 2
integrin. Eur J Clin Invest. 26:860–866. 1996. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Zirlik A, Maier C, Gerdes N, MacFarlane L,
Soosairajah J, Bavendiek U, Ahrens I, Ernst S, Bassler N, Missiou
A, et al: CD40 ligand mediates inflammation independently of CD40
by interaction with Mac-1. Circulation. 115:1571–1580. 2007.
View Article : Google Scholar : PubMed/NCBI
|
|
32
|
de la Cuesta F, Zubiri I, Maroto AS,
Posada M, Padial LR, Vivanco F, Alvarez-Llamas G and Barderas MG:
Deregulation of smooth muscle cell cytoskeleton within the human
atherosclerotic coronary media layer. J Proteomics. 82:155–165.
2013. View Article : Google Scholar : PubMed/NCBI
|
