1
|
Braun J and Sieper J: Ankylosing
spondylitis. Lancet. 369:1379–1390. 2007. View Article : Google Scholar : PubMed/NCBI
|
2
|
Atouf O, Benbouazza K, Brick C, Saoud B,
Benseffaj N, Amine B, Hajjaj-Hassouni N and Essakalli M:
Distribution of HLA class I and II genes in ankylosing spondylitis
patients from Morocco. Pathol Biol (Paris). 60:e80–e83. 2012.
View Article : Google Scholar : PubMed/NCBI
|
3
|
Gilgil E, Kaçar C, Tuncer T and Bütün B:
The association of syndesmophytes with vertebral bone mineral
density in patients with ankylosing spondylitis. J Rheumatol.
32:292–294. 2005.PubMed/NCBI
|
4
|
Braun J, Brandt J, Listing J, Zink A,
Alten R, Golder W, Gromnica-Ihle E, Kellner H, Krause A, Schneider
M, et al: Treatment of active ankylosing spondylitis with
infliximab: A randomised controlled multicentre trial. Lancet.
359:1187–1193. 2002. View Article : Google Scholar : PubMed/NCBI
|
5
|
Mercer TR, Dinger ME and Mattick JS: Long
non-coding RNAs: Insights into functions. Nat Rev Genet.
10:155–159. 2009. View
Article : Google Scholar : PubMed/NCBI
|
6
|
Gibb EA, Brown CJ and Lam WL: The
functional role of long non-coding RNA in human carcinomas. Mol
cancer. 10:382011. View Article : Google Scholar : PubMed/NCBI
|
7
|
Gutschner T and Diederichs S: The
hallmarks of cancer: A long non-coding RNA point of view. RNA Biol.
9:703–719. 2012. View Article : Google Scholar : PubMed/NCBI
|
8
|
Zhou Y, Zhang X and Klibanski A: MEG3
noncoding RNA: A tumor suppressor. J Mol Endocrinol. 48:R45–R53.
2012. View Article : Google Scholar : PubMed/NCBI
|
9
|
Wang Q, Li Y and Zhang Y, Ma L, Lin L,
Meng J, Jiang L, Wang L, Zhou P and Zhang Y: LncRNA MEG3 inhibited
osteogenic differentiation of bone marrow mesenchymal stem cells
from postmenopausal osteoporosis by targeting miR-133a-3p. Biomed
Pharmacother. 89:1178–1186. 2017. View Article : Google Scholar : PubMed/NCBI
|
10
|
Klingberg E, Nurkkala M, Carlsten H and
Forsblad-d'Elia H: Biomarkers of bone metabolism in ankylosing
spondylitis in relation to osteoproliferation and osteoporosis. J
Rheumatol. 41:1349–1356. 2014. View Article : Google Scholar : PubMed/NCBI
|
11
|
van der Linden S, Valkenburg HA and Cats
A: Evaluation of diagnostic criteria for ankylosing spondylitis. A
proposal for modification of the New York criteria. Arthritis
Rheum. 27:361–368. 1984.
|
12
|
Lukas C, Landewe R, Sieper J, Dougados M,
Davis J, Braun J, van der Linden S and van der Heijde D; Assessment
of SpondyloArthritis international Society, . Development of an
ASAS-endorsed disease activity score (ASDAS) in patients with
ankylosing spondylitis. Ann Rheum Dis. 68:18–24. 2009. View Article : Google Scholar : PubMed/NCBI
|
13
|
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.
View Article : Google Scholar : PubMed/NCBI
|
14
|
Zhang C, Wang C, Jia Z, Tong W, Liu D, He
C, Huang X and Xu W: Differentially expressed mRNAs, lncRNAs, and
miRNAs with associated co-expression and ceRNA networks in
ankylosing spondylitis. Oncotarget. 8:113543–113557.
2017.PubMed/NCBI
|
15
|
Xie Z, Li J, Wang P, Li Y, Wu X, Wang S,
Su H, Deng W, Liu Z, Cen S, et al: Differential expression profiles
of long noncoding RNA and mRNA of osteogenically differentiated
mesenchymal stem cells in ankylosing spondylitis. J Rheumatol.
43:1523–1531. 2016. View Article : Google Scholar : PubMed/NCBI
|
16
|
Li X, Chai W, Zhang G, Ni M, Chen J, Dong
J, Zhou Y, Hao L, Bai Y and Wang Y: Down-Regulation of
lncRNA-AK001085 and its influences on the diagnosis of ankylosing
spondylitis. Med Sci Monit. 23:11–16. 2017. View Article : Google Scholar : PubMed/NCBI
|
17
|
Miyakoshi N, Itoi E, Murai H, Wakabayashi
I, Ito H and Minato T: Inverse relation between osteoporosis and
spondylosis in postmenopausal women as evaluated by bone mineral
density and semiquantitative scoring of spinal degeneration. Spine
(Phila Pa 1976). 28:492–495. 2003. View Article : Google Scholar : PubMed/NCBI
|
18
|
Zhou X, Yin C, Dang Y, Ye F and Zhang G:
Identification of the long non-coding RNA H19 in plasma as a novel
biomarker for diagnosis of gastric cancer. Sci Rep. 5:115162015.
View Article : Google Scholar : PubMed/NCBI
|
19
|
Soares do Amaral N, Cruz E, Melo N, de
Melo Maia B and Malagoli Rocha R: Noncoding RNA profiles in
tobacco-and alcohol-associated diseases. Genes (Basel). 8(pii):
E62016. View Article : Google Scholar : PubMed/NCBI
|
20
|
Grammatikakis I, Panda AC, Abdelmohsen K
and Gorospe M: Long noncoding RNAs (lncRNAs) and the molecular
hallmarks of aging. Aging (Albany NY). 6:992–1009. 2014. View Article : Google Scholar : PubMed/NCBI
|
21
|
Ren S, Wang F, Shen J, Sun Y, Xu W, Lu J,
Wei M, Xu C, Wu C, Zhang Z, et al: Long non-coding RNA metastasis
associated in lung adenocarcinoma transcript 1 derived miniRNA as a
novel plasma-based biomarker for diagnosing prostate cancer. Euro J
Cancer. 49:2949–2959. 2013. View Article : Google Scholar
|
22
|
Goldberger C, Dulak J, Duftner C,
Weidinger F, Falkenbach A and Schirmer M: Vascular endothelial
growth factor (VEGF) in ankylosing spondylitis-a pilot study. Wien
Med Wochenschr. 152:223–225. 2002. View Article : Google Scholar : PubMed/NCBI
|
23
|
Sveaas SH, Berg IJ, Provan SA, Semb AG,
Olsen IC, Ueland T, Aukrust P, Vøllestad N, Hagen KB, Kvien TK and
Dagfinrud H: Circulating levels of inflammatory cytokines and
cytokine receptors in patients with ankylosing spondylitis: A
cross-sectional comparative study. Scand J Rheumatol. 44:118–124.
2015. View Article : Google Scholar : PubMed/NCBI
|
24
|
Qiu GZ, Tian W, Fu HT, Li CP and Liu B:
Long noncoding RNA-MEG3 is involved in diabetes mellitus-related
microvascular dysfunction. Biochem Biophys Res Commun. 471:135–141.
2016. View Article : Google Scholar : PubMed/NCBI
|
25
|
Su W, Xie W, Shang Q and Su B: The long
noncoding RNA MEG3 is downregulated and inversely associated with
VEGF levels in osteoarthritis. Biomed Res Int. 2015:3568932015.
View Article : Google Scholar : PubMed/NCBI
|