|
1
|
Suzuki J and Takaku A: Cerebrovascular
moyamoya disease: Disease showing abnormal net-like vessels in base
of brain. Arch Neurol. 20:288–299. 1969.PubMed/NCBI View Article : Google Scholar
|
|
2
|
Suzuki J and Kodama N: Moyamoya disease-a
review. Stroke. 14:104–109. 1983.PubMed/NCBI View Article : Google Scholar
|
|
3
|
Baba T, Houkin K and Kuroda S: Novel
epidemiological features of moyamoya disease. J Neurol Neurosurg
Psychiatry. 79:900–904. 2008.PubMed/NCBI View Article : Google Scholar
|
|
4
|
Kobayashi E, Saeki N, Oishi H, Hirai S and
Yamaura A: Long-term natural history of hemorrhagic moyamoya
disease in 42 patients. J Neurosurg. 93:976–980. 2000.PubMed/NCBI View Article : Google Scholar
|
|
5
|
Sharp FR, Xu H, Lit L, Walker W, Apperson
M, Gilbert DL, Glauser TA, Wong B, Hershey A, Liu DZ, et al: The
future of genomic profiling of neurological diseases using blood.
Arch Neurol. 63:1529–1536. 2006.PubMed/NCBI View Article : Google Scholar
|
|
6
|
Sharp FR, Xu H, Lit L, Walker W, Pinter J,
Apperson M and Verro P: Genomic profiles of stroke in blood.
Stroke. 38 (2 Suppl):S691–S693. 2007.PubMed/NCBI View Article : Google Scholar
|
|
7
|
Wardlaw JM, Brazzelli M, Chappell FM,
Miranda H, Shuler K, Sandercock PAG and Dennis MS: ABCD2 score and
secondary stroke prevention: Meta-analysis and effect per 1,000
patients triaged. Neurology. 85:373–380. 2015.PubMed/NCBI View Article : Google Scholar
|
|
8
|
Amarenco P, Labreuche J and Lavallée PC:
Patients with transient ischemic attack with ABCD2 <4 can have
similar 90-day stroke risk as patients with transient ischemic
attack with ABCD2 ≥4. Stroke. 43:863–865. 2012.PubMed/NCBI View Article : Google Scholar
|
|
9
|
Sanders LM, Srikanth VK, Blacker DJ,
Jolley DJ, Cooper KA and Phan TG: Performance of the ABCD2 score
for stroke risk post TIA: Meta-analysis and probability modeling.
Neurology. 79:971–980. 2012.PubMed/NCBI View Article : Google Scholar
|
|
10
|
Perry JJ, Sharma M, Sivilotti ML,
Sutherland J, Symington C, Worster A, Émond M, Stotts G, Jin AY,
Oczkowski WJ, et al: Prospective validation of the ABCD2 score for
patients in the emergency department with transient ischemic
attack. CMAJ. 183:1137–1145. 2011.PubMed/NCBI View Article : Google Scholar
|
|
11
|
Memczak S, Jens M, Elefsinioti A, Torti F,
Krueger J, Rybak A, Maier L, Mackowiak SD, Gregersen LH, Munschauer
M, et al: Circular RNAs are a large class of animal RNAs with
regulatory potency. Nature. 495:333–338. 2013.PubMed/NCBI View Article : Google Scholar
|
|
12
|
Esteller M: Non-coding RNAs in human
disease. Nat Rev Genet. 12:861–874. 2011.PubMed/NCBI View
Article : Google Scholar
|
|
13
|
Vicens Q and Westhof E: Biogenesis of
circular RNAs. Cell. 159:13–14. 2014.PubMed/NCBI View Article : Google Scholar
|
|
14
|
Wilusz JE and Sharp PA: Molecular biology:
A circuitous route to noncoding RNA. Science. 340:440–441.
2013.PubMed/NCBI View Article : Google Scholar
|
|
15
|
Mehta SL, Pandi G and Vemuganti R:
Circular RNA expression profiles alter significantly in mouse brain
after transient focal ischemia. Stroke. 48:2541–2548.
2017.PubMed/NCBI View Article : Google Scholar
|
|
16
|
Zhao M, Gao F, Zhang D, Wang S, Zhang Y,
Wang R and Zhao J: Altered expression of circular RNAs in Moyamoya
disease. J Neurol Sci. 381:25–31. 2017.PubMed/NCBI View Article : Google Scholar
|
|
17
|
Research Committee on the Pathology and
Treatment of Spontaneous Occlusion of the Circle of Willis; Health
Labour Sciences Research Grant for Research on Measures for
Infractable Diseases: Guidelines for diagnosis and treatment of
moyamoya disease (spontaneous occlusion of the circle of Willis).
Neurol Med Chir(Tokyo). 52:245–266. 2012.PubMed/NCBI View Article : Google Scholar
|
|
18
|
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
|
|
19
|
Pasquinelli AE: MicroRNAs and their
targets: Recognition, regulation and an emerging reciprocal
relationship. Nat Rev Genet. 13:271–282. 2012.PubMed/NCBI View
Article : Google Scholar
|
|
20
|
Chou CH, Chang NW, Shrestha S, Hsu SD, Lin
YL, Lee WH, Yang CD, Hong HC, Wei TY, Tu SJ, et al: miRTarBase
2016: Updates to the experimentally validated miRNA-target
interactions database. Nucleic Acids Res. 44(D1):D239–D247.
2016.PubMed/NCBI View Article : Google Scholar
|
|
21
|
Hansen TB, Jensen TI, Clausen BH, Bramsen
JB, Finsen B, Damgaard CK and Kjems J: Natural RNA circles function
as efficient microRNA sponges. Nature. 495:384–388. 2013.PubMed/NCBI View Article : Google Scholar
|
|
22
|
Chen Y, Li C, Tan C and Liu X: Circular
RNAs: A new frontier in the study of human diseases. J Med Genet.
53:359–365. 2016.PubMed/NCBI View Article : Google Scholar
|
|
23
|
Shao Y and Chen Y: Roles of circular RNAs
in neurologic disease. Front Mol Neurosci. 9(25)2016.PubMed/NCBI View Article : Google Scholar
|
|
24
|
You X, Vlatkovic I, Babic A, Will T,
Epstein I, Tushev G, Akbalik G, Wang M, Glock C, Quedenau C, et al:
Neural circular RNAs are derived from synaptic genes and regulated
by development and plasticity. Nat Neurosci. 18:603–610.
2015.PubMed/NCBI View
Article : Google Scholar
|
|
25
|
Chen S, Li T, Zhao Q, Xiao B and Guo J:
Using circular RNA hsa_circ_0000190 as a new biomarker in the
diagnosis of gastric cancer. Clin Chim Acta. 466:167–171.
2017.PubMed/NCBI View Article : Google Scholar
|
|
26
|
Wang K, Long B, Liu F, Wang JX, Liu CY,
Zhao B, Zhou LY, Sun T, Wang M, Yu T, et al: A circular RNA
protects the heart from pathological hypertrophy and heart failure
by targeting miR-223. Eur Heart J. 37:2602–2611. 2016.PubMed/NCBI View Article : Google Scholar
|
|
27
|
Cui X, Niu W, Kong L, He M, Jiang K, Chen
S, Zhong A, Li W, Lu J and Zhang L: hsa_circRNA_103636: Potential
novel diagnostic and therapeutic biomarker in Major depressive
disorder. Biomark Med. 10:943–952. 2016.PubMed/NCBI View Article : Google Scholar
|
|
28
|
Burd CE, Jeck WR, Liu Y, Sanoff HK, Wang Z
and Sharpless NE: Expression of linear and novel circular forms of
an INK4/ARF-associated non-coding RNA correlates with
atherosclerosis risk. PLoS Genet. 6(e1001233)2010.PubMed/NCBI View Article : Google Scholar
|
|
29
|
Bang OY, Fujimura M and Kim SK: The
pathophysiology of moyamoya disease: An update. J Stroke. 18:12–20.
2016.PubMed/NCBI View Article : Google Scholar
|
|
30
|
Kamada F, Aoki Y, Narisawa A, Abe Y,
Komatsuzaki S, Kikuchi A, Kanno J, Niihori T, Ono M, Ishii N, et
al: A genome-wide association study identifies RNF213 as the first
Moyamoya disease gene. J Hum Genet. 56:34–40. 2011.PubMed/NCBI View Article : Google Scholar
|
|
31
|
Kang HS, Kim JH, Phi JH, Kim YY, Kim JE,
Wang KC, Cho BK and Kim SK: Plasma matrix metalloproteinases,
cytokines and angiogenic factors in moyamoya disease. J Neurol
Neurosurg Psychiatry. 81:673–678. 2010.PubMed/NCBI View Article : Google Scholar
|
|
32
|
Rafat N, Beck GCh, Peña-Tapia PG,
Schmiedek P and Vajkoczy P: Increased levels of circulating
endothelial progenitor cells in patients with Moyamoya disease.
Stroke. 40:432–438. 2009.PubMed/NCBI View Article : Google Scholar
|
|
33
|
Bedini G, Blecharz KG, Nava S, Vajkoczy P,
Alessandri G, Ranieri M, Acerbi F, Ferroli P, Riva D, Esposito S,
et al: Vasculogenic and angiogenic pathways in moyamoya disease.
Curr Med Chem. 23:315–345. 2016.PubMed/NCBI View Article : Google Scholar
|
|
34
|
Nanba R, Kuroda S, Ishikawa T, Houkin K
and Iwasaki Y: Increased expression of hepatocyte growth factor in
cerebrospinal fluid and intracranial artery in moyamoya disease.
Stroke. 35:2837–2842. 2004.PubMed/NCBI View Article : Google Scholar
|
|
35
|
Kim SK, Yoo JI, Cho BK, Hong SJ, Kim YK,
Moon JA, Kim JH, Chung YN and Wang KC: Elevation of CRABP-I in the
cerebrospinal fluid of patients with Moyamoya disease. Stroke.
34:2835–2841. 2003.PubMed/NCBI View Article : Google Scholar
|
|
36
|
Frank PG, Woodman SE, Park DS and Lisanti
MP: Caveolin, caveolae, and endothelial cell function. Arterioscler
Thromb Vasc Biol. 23:1161–1168. 2003.PubMed/NCBI View Article : Google Scholar
|
|
37
|
Bartel DP: MicroRNAs: Genomics,
biogenesis, mechanism, and function. Cell. 116:281–297.
2004.PubMed/NCBI View Article : Google Scholar
|
|
38
|
Dai D, Lu Q, Huang Q, Yang P, Hong B, Xu
Y, Zhao W, Liu J and Li Q: Serum miRNA signature in Moyamoya
disease. PLoS One. 9(e102382)2014.PubMed/NCBI View Article : Google Scholar
|
|
39
|
Zhao S, Gong Z, Zhang J, Xu X, Liu P, Guan
W, Jing L, Peng T, Teng J and Jia Y: Elevated serum microRNA Let-7c
in Moyamoya disease. J Stroke Cerebrovasc Dis. 24:1709–1714.
2015.PubMed/NCBI View Article : Google Scholar
|
|
40
|
Hallemeier CL, Rich KM, Grubb RL Jr,
Chicoine MR, Moran CJ, Cross DT III, Zipfel GJ, Dacey RG Jr and
Derdeyn CP: Clinical features and outcome in north american adults
with Moyamoya phenomenon. Stroke. 37:1490–1496. 2006.PubMed/NCBI View Article : Google Scholar
|
|
41
|
Kraemer M, Heienbrok W and Berlit P:
Moyamoya disease in Europeans. Stroke. 39:3193–3200.
2008.PubMed/NCBI View Article : Google Scholar
|
|
42
|
Duan L, Bao XY, Yang WZ, Shi WC, Li DS,
Zhang ZS, Zong R, Han C, Zhao F and Feng J: Moyamoya disease in
China: Its clinical features and outcomes. Stroke. 43:56–60.
2012.PubMed/NCBI View Article : Google Scholar
|
|
43
|
Kikuta K, Takagi Y, Nozaki K, Sawamoto N,
Fukuyama H and Hashimoto N: The presence of multiple microbleeds as
a predictor of subsequent cerebral hemorrhage in patients with
moyamoya disease. Neurosurgery. 62:104–11; discussion 111-2.
2008.PubMed/NCBI View Article : Google Scholar
|
|
44
|
Morioka M, Hamada JI, Kawano T, Todaka T,
Yano S, Kai Y and Ushio Y: Angiographic dilatation and branch
extension of the anterior choroidal and posterior communicating
arteries are predictors of hemorrhage in adult Moyamoya patients.
Stroke. 34:90–95. 2003.PubMed/NCBI View Article : Google Scholar
|
|
45
|
Matsushige T, Kraemer M, Schlamann M,
Berlit P, Forsting M, Ladd ME, Sure U and Wrede KH: Ventricular
microaneurysms in Moyamoya angiopathy visualized with 7T MR
angiography. AJNR Am J Neuroradiol. 37:1669–1672. 2016.PubMed/NCBI View Article : Google Scholar
|
|
46
|
Li H, Yue H, Hao Y, Li H, Wang S, Yu L,
Zhang D, Cao Y and Zhao J: Expression profile of long noncoding
RNAs in human cerebral aneurysms: A microarray analysis. J
Neurosurg. 127:1055–1062. 2017.PubMed/NCBI View Article : Google Scholar
|
|
47
|
Zhao M, Zhang D, Wang S, Zhang Y, Deng X
and Zhao J: The collateral circulation in moyamoya disease: A
single-center experience in 140 pediatric patients. Pediatr Neurol.
77:78–83. 2017.PubMed/NCBI View Article : Google Scholar
|
|
48
|
Zhang Y, Chen B, Ming L, Qin H, Zheng L,
Yue Z, Cheng Z, Wang Y, Zhang D, Liu C, et al: MicroRNA-141
inhibits vascular smooth muscle cell proliferation through
targeting PAPP-A. Int J Clin Exp Pathol. 8:14401–14408.
2015.PubMed/NCBI
|
|
49
|
Jones JA, Spinale FG and Ikonomidis JS:
Transforming growth factor-beta signaling in thoracic aortic
aneurysm development: A paradox in pathogenesis. J Vasc Res.
46:119–137. 2009.PubMed/NCBI View Article : Google Scholar
|
|
50
|
Sappino AP, Madani R, Huarte J, Belin D,
Kiss JZ, Wohlwend A and Vassalli JD: Extracellular proteolysis in
the adult murine brain. J Clin Invest. 92:679–685. 1993.PubMed/NCBI View Article : Google Scholar
|
|
51
|
Shah PK, Falk E, Badimon JJ,
Fernandez-Ortiz A, Mailhac A, Villareal-Levy G, Fallon JT,
Regnstrom J and Fuster V: Human monocyte-derived macrophages induce
collagen breakdown in fibrous caps of atherosclerotic plaques.
Potential role of matrix-degrading metalloproteinases and
implications for plaque rupture. Circulation. 92:1565–1569.
1995.PubMed/NCBI
|
|
52
|
Lee JM, Yin KJ, Hsin I, Chen S, Fryer JD,
Holtzman DM, Hsu CY and Xu J: Matrix metalloproteinase-9 and
spontaneous hemorrhage in an animal model of cerebral amyloid
angiopathy. Ann Neurol. 54:379–382. 2003.PubMed/NCBI View Article : Google Scholar
|
|
53
|
McMillan WD, Tamarina NA, Cipollone M,
Johnson DA, Parker MA and Pearce WH: Size Matters: The relationship
between MMP-9 expression and aortic diameter. Circulation.
96:2228–2232. 1997.PubMed/NCBI View Article : Google Scholar
|
|
54
|
Kavsak P, Rasmussen RK, Causing CG, Bonni
S, Zhu H, Thomsen GH and Wrana JL: Smad7 binds to Smurf2 to form an
E3 ubiquitin ligase that targets the TGF beta receptor for
degradation. Mol Cell. 6:1365–1375. 2000.PubMed/NCBI View Article : Google Scholar
|
|
55
|
Sang QX: Complex role of matrix
metalloproteinases in angiogenesis. Cell Res. 8:171–177.
1998.PubMed/NCBI View Article : Google Scholar
|