|
1
|
Pagliaro BR, Cannata F, Stefanini GG and
Bolognese L: Myocardial ischemia and coronary disease in heart
failure. Heart Fail Rev. 25:53–65. 2020. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Sayols-Baixeras S, Luis-Ganella C, Lucas G
and Elosua R: Pathogenesis of coronary artery disease: focus on
genetic risk factors and identification of genetic variants. Appl
Clin Genet. 7:15–32. 2014.PubMed/NCBI
|
|
3
|
Glass CK and Witztum JL: Atherosclerosis.
The road ahead. Cell. 104:503–516. 2001. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Dalen JE, Alpert JS, Goldberg RJ and
Weinstein RS: The epidemic of the 20(th) century: Coronary heart
disease. The American journal of medicine. 127:807–812. 2014.
View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Dai X, Wiernek S, Evans JP and Runge MS:
Genetics of coronary artery disease and myocardial infarction.
World J Cardiol. 8:1–23. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Meseure D, Drak Alsibai K, Nicolas A,
Bieche I and Morillon A: Long noncoding RNAs as new architects in
cancer epigenetics, prognostic biomarkers, and potential
therapeutic targets. Biomed Res Int. 2015:3202142015. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Esteller M: Non-coding RNAs in human
disease. Nat Rev Genet. 12:861–874. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Hueso M, Cruzado JM, Torras J and Navarro
E: ALUminating the path of atherosclerosis progression:
Chaos theory suggests a role for Alu repeats in the
development of atherosclerotic vascular disease. Int J Mol Sci.
19:E17342018. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Yang F, Xue X, Bi J, Zheng L, Zhi K, Gu Y
and Fang G: Long noncoding RNA CCAT1, which could be activated by
c-Myc, promotes the progression of gastric carcinoma. J Cancer Res
Clin Oncol. 139:437–445. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Yuan JH, Yang F, Wang F, Ma JZ, Guo YJ,
Tao QF, Liu F, Pan W, Wang TT, Zhou CC, et al: A long noncoding RNA
activated by TGF-beta promotes the invasion-metastasis cascade in
hepatocellular carcinoma. Cancer Cell. 25:666–681. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Leung A and Natarajan R: Noncoding RNAs in
vascular disease. Curr Opin Cardiol. 29:199–206. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Bitarafan S, Yari M, Broumand MA,
Ghaderian SM, Rahimi M, Mirfakhraie R, Azizi F and Omrani MD:
Association of increased levels of lncRNA H19 in PBMCs with risk of
coronary artery disease. Cell J. 20:564–568. 2019.PubMed/NCBI
|
|
13
|
Zhang Z, Gao W, Long QQ, Zhang J, Li YF,
Liu DC, Yan JJ, Yang ZJ and Wang LS: Increased plasma levels of
lncRNA H19 and LIPCAR are associated with increased risk of
coronary artery disease in a Chinese population. Sci Rep.
7:74912017. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Yu D, Tang C, Liu P, Qian W and Sheng L:
Withdrawal notice: Targeting lncRNAs for cardiovascular
therapeutics in coronary artery disease. Curr Pharm Des. Jan
8–2018.(Epub ahead of print). doi:
10.2174/1381612824666180108120727. View Article : Google Scholar
|
|
15
|
Wu G, Cai J, Han Y, Chen J, Huang ZP, Chen
C, Cai Y, Huang H, Yang Y, Liu Y, et al: LincRNA-p21 regulates
neointima formation, vascular smooth muscle cell proliferation,
apoptosis, and atherosclerosis by enhancing p53 activity.
Circulation. 130:1452–1465. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Tang SS, Cheng J, Cai MY, Yang XL, Liu XG,
Zheng BY and Xiong XD: Association of lincRNA-p21 haplotype with
coronary artery disease in a Chinese Han population. Dis Markers.
2016:91097432016. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Cai Y, Yang Y, Chen X, Wu G, Zhang X, Liu
Y, Yu J, Wang X, Fu J, Li C, et al: Circulating ‘lncRNA
OTTHUMT00000387022’ from monocytes as a novel biomarker for
coronary artery disease. Cardiovasc Res. 112:714–724. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Yang Y, Cai Y, Wu G, Chen X, Liu Y, Wang
X, Yu J, Li C, Chen X, Jose PA, et al: Plasma long non-coding RNA,
CoroMarker, a novel biomarker for diagnosis of coronary artery
disease. Clin Sci (Lond). 129:675–685. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Wenger NK: 2011 ACCF/AHA focused update of
the guidelines for the management of patients with Unstable
Angina/Non-ST-Elevation Myocardial Infarction (updating the 2007
Guideline): highlights for the clinician. Clin Cardiol. 35:3–8.
2012. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Jaatinen T and Laine J: Isolation of
mononuclear cells from human cord blood by Ficoll-Paque density
gradient. Curr Protoc Stem Cell Biol. Jun 1–2007.(Epub ahead of
print). doi: org/10.1002/9780470151808.sc02a01s1. View Article : Google Scholar
|
|
21
|
Jia Y, Xu H, Li Y, Wei C, Guo R, Wang F,
Wu Y, Liu J, Jia J, Yan J, et al: A Modified Ficoll-Paque gradient
method for isolating mononuclear cells from the peripheral and
umbilical cord blood of humans for biobanks and clinical
laboratories. Biopreserv Biobank. 16:82–91. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Trapnell C, Hendrickson DG, Sauvageau M,
Goff L, Rinn JL and Pachter L: Differential analysis of gene
regulation at transcript resolution with RNA-seq. Nat Biotechnol.
31:46–53. 2013. View
Article : Google Scholar : PubMed/NCBI
|
|
23
|
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
|
|
24
|
The Gene Ontology Consortium, . The Gene
Ontology Resource: 20 years and still GOing strong. Nucleic Acids
Res. 47:D330–D338. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Huang M, Zhong Z, Lv M, Shu J, Tian Q and
Chen J: Comprehensive analysis of differentially expressed profiles
of lncRNAs and circRNAs with associated co-expression and ceRNA
networks in bladder carcinoma. Oncotarget. 7:47186–47200.
2016.PubMed/NCBI
|
|
26
|
Agarwal V, Bell GW, Nam JW and Bartel DP:
Predicting effective microRNA target sites in mammalian mRNAs.
Elife. 4:e050052015. View Article : Google Scholar :
|
|
27
|
Garcia DM, Baek D, Shin C, Bell GW,
Grimson A and Bartel DP: Weak seed-pairing stability and high
target-site abundance decrease the proficiency of lsy-6 and other
microRNAs. Nat Struct Mol Biol. 18:1139–1146. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Friedman RC, Farh KK, Burge CB and Bartel
DP: Most mammalian mRNAs are conserved targets of microRNAs. Genome
Res. 19:92–105. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Grimson A, Farh KK-H, Johnston WK,
Garrett-Engele P, Lim LP and Bartel DP: MicroRNA targeting
specificity in mammals: determinants beyond seed pairing. Mol Cell.
27:91–105. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Lewis BP, Burge CB and Bartel DP:
Conserved seed pairing, often flanked by adenosines, indicates that
thousands of human genes are microRNA targets. Cell. 120:15–20.
2005. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
John B, Enright AJ, Aravin A, Tuschl T,
Sander C and Marks DS: Human MicroRNA targets. PLoS Biol. 2:e363.
2004. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Shannon P, Markiel A, Ozier O, Baliga NS,
Wang JT, Ramage D, Amin N, Schwikowski B and Ideker T: Cytoscape: A
software environment for integrated models of biomolecular
interaction networks. Genome Res. 13:2498–2504. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Iliopoulos D, Drosatos K, Hiyama Y,
Goldberg IJ and Zannis VI: MicroRNA-370 controls the expression of
microRNA-122 and Cpt1alpha and affects lipid metabolism. J Lipid
Res. 51:1513–1523. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
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
|
|
35
|
Hou S, Fang M, Zhu Q, Liu Y, Liu L and Li
X: MicroRNA-939 governs vascular integrity and angiogenesis through
targeting gamma-catenin in endothelial cells. Biochem Biophys Res
Commun. 484:27–33. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Jaé N, Heumüller AW, Fouani Y and Dimmeler
S: Long non-coding RNAs in vascular biology and disease. Vascul
Pharmacol. 114:13–22. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Ahmadi R, Heidarian E, Fadaei R, Moradi N,
Malek M and Fallah S: miR-342-5p Expression levels in coronary
artery disease patients and its association with inflammatory
cytokines. Clin Lab. 64:603–609. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Fadaei R, Moradi N, Kazemi T, Chamani E,
Azdaki N, Moezibady SA, Shahmohamadnejad S, Fallah S, et al:
Decreased serum levels of CTRP12/adipolin in patients with coronary
artery disease in relation to inflammatory cytokines and insulin
resistance. Cytokine. 113:326–331. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Libby P, Tabas I, Fredman G and Fisher EA:
Inflammation and its resolution as determinants of acute coronary
syndromes. Circ Res. 114:1867–1879. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Hammadah M, Sullivan S, Pearce B, Mheid
IA, Wilmot K, Ramadan R, Tahhan AS, O'Neal WT, Obideen M, Alkhoder
A, et al: Inflammatory response to mental stress and mental stress
induced myocardial ischemia. Brain Behav Immun. 68:90–97. 2018.
View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Chen H, Ding S, Liu X, Wu Y and Wu X:
Association of interleukin-6 genetic polymorphisms and environment
factors interactions with coronary artery disease in a Chinese Han
population. Clin Exp Hypertens. 40:514–517. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Guo F, Tang C, Li Y, Liu Y, Lv P, Wang W
and Mu Y: The interplay of LncRNA ANRIL and miR-181b on the
inflammation-relevant coronary artery disease through mediating
NF-kappaB signalling pathway. J Cell Mol Med. 22:5062–5075. 2018.
View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Kuan YC, Hashidume T, Shibata T, Uchida K,
Shimizu M, Inoue J and Sato R: Heat shock protein 90 modulates
lipid homeostasis by regulating the stability and function of
sterol regulatory element-binding protein (SREBP) and SREBP
cleavage-activating protein. J Biol Chem. 292:3016–3028. 2017.
View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Brown MS and Goldstein JL: The SREBP
pathway: regulation of cholesterol metabolism by proteolysis of a
membrane-bound transcription factor. Cell. 89:331–340. 1997.
View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Sato R: Sterol metabolism and SREBP
activation. Arch Biochem Biophys. 501:177–181. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Perez-Belmonte LM, Moreno-Santos I,
Cabrera-Bueno F, Sánchez-Espín G, Castellano D, Such M,
Crespo-Leiro MG, Carrasco-Chinchilla F, Alonso-Pulpón L,
López-Garrido M, et al: Expression of Sterol Regulatory
Element-Binding Proteins in epicardial adipose tissue in patients
with coronary artery disease and diabetes mellitus: Preliminary
study. Int J Med Sci. 14:268–274. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Abudesimu A, Adi D, Siti D, Xie X, Yang
YN, Li XM, Wang YH, Wang YT, Meng YJ, Liu F, et al: Association of
genetic variations in the lipid regulatory pathway genes FBXW7 and
SREBPs with coronary artery disease among Han Chinese and Uygur
Chinese populations in Xinjiang, China. Oncotarget. 8:88199–88210.
2017. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Price NL, Singh AK, Rotllan N, Goedeke L,
Wing A, Canfrán-Duque A, Diaz-Ruiz A, Araldi E, Baldán A, Camporez
JP, et al: Genetic ablation of miR-33 increases food intake,
enhances adipose tissue expansion, and promotes obesity and insulin
resistance. Cell Rep. 22:2133–2145. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
49
|
Dong J, Liang YZ, Zhang J, Wu LJ, Wang S,
Hua Q and Yan YX: Potential role of lipometabolism-related
MicroRNAs in peripheral blood mononuclear cells as biomarkers for
coronary artery disease. J Atheroscler Thromb. 24:430–441. 2017.
View Article : Google Scholar : PubMed/NCBI
|
