|
1
|
Vestbo J, Hurd SS, Agustí AG, Jones PW,
Vogelmeier C, Anzueto A, Barnes PJ, Fabbri LM, Martinez FJ,
Nishimura M, et al: Global strategy for the diagnosis, management,
and prevention of chronic obstructive pulmonary disease: GOLD
executive summary. Am J Respir Crit Care Med. 187:347–365. 2013.
View Article : Google Scholar
|
|
2
|
Uzun S, Djamin R, Hoogsteden H, Aerts J
and van der Eerden M: Acute exacerbations of chronic obstructive
pulmonary disease. Oncogenesis, Inflammatory and Parasitic Tropical
Diseases of the Lung. Kayembe JM: InTech. Chapter 4. pp. 77–98.
2013, http://dx.doi.org/10.5772/54867.
|
|
3
|
Carrillo A, Ferrer M, Gonzalez-Diaz G,
Lopez-Martinez A, Llamas N, Alcazar M, Capilla L and Torres A:
Noninvasive ventilation in acute hypercapnic respiratory failure
caused by obesity hypoventilation syndrome and chronic obstructive
pulmonary disease. Am J Respir Crit Care Med. 186:1279–1285. 2012.
View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Kim V, Rogers TJ and Criner GJ: New
concepts in the pathobiology of chronic obstructive pulmonary
disease. Proc Am Thorac Soc. 5:478–485. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Lozano R, Naghavi M, Foreman K, Lim S,
Shibuya K, Aboyans V, Abraham J, Adair T, Aggarwal R, Ahn SY, et
al: Global and regional mortality from 235 causes of death for 20
age groups in 1990 and 2010: A systematic analysis for the Global
Burden of Disease Study 2010. Lancet. 380:2095–2128. 2012.
View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Woodhead M, Blasi F, Ewig S, Garau J,
Huchon G, Ieven M, Ortqvist A, Schaberg T, Torres A, van der
Heijden G, et al Joint Taskforce of the European Respiratory
Society and European Society for Clinical Microbiology and
Infectious Diseases: Guidelines for the management of adult lower
respiratory tract infections - full version. Clin Microbiol Infect.
17(Suppl 6): E1–E59. 2011. View Article : Google Scholar
|
|
7
|
Coventry PA, Gemmell I and Todd CJ:
Psychosocial risk factors for hospital readmission in COPD patients
on early discharge services: a cohort study. BMC Pulm Med.
11:492011. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Swallow EB, Reyes D, Hopkinson NS, Man WD,
Porcher R, Cetti EJ, Moore AJ, Moxham J and Polkey MI: Quadriceps
strength predicts mortality in patients with moderate to severe
chronic obstructive pulmonary disease. Thorax. 62:115–120. 2007.
View Article : Google Scholar
|
|
9
|
Rabinovich RA, Bastos R, Ardite E, Llinàs
L, Orozco-Levi M, Gea J, Vilaró J, Barberà JA, Rodríguez-Roisin R,
Fernández-Checa JC and Roca J: Mitochondrial dysfunction in COPD
patients with low body mass index. Eur Respir J. 29:643–650. 2007.
View Article : Google Scholar
|
|
10
|
Perotin JM, Dury S, Renois F, Deslee G,
Wolak A, Duval V, De Champs C, Lebargy F and Andreoletti L:
Detection of multiple viral and bacterial infections in acute
exacerbation of chronic obstructive pulmonary disease: a pilot
prospective study. J Med Virol. 85:866–873. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Remels AH, Gosker HR, van der Velden J,
Langen RC and Schols AM: Systemic inflammation and skeletal muscle
dysfunction in chronic obstructive pulmonary disease: state of the
art and novel insights in regulation of muscle plasticity. Clin
Chest Med. 28:537–552. vi2007. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Ezzie ME, Crawford M, Cho JH, Orellana R,
Zhang S, Gelinas R, Batte K, Yu L, Nuovo G, Galas D, et al: Gene
expression networks in COPD: microRNA and mRNA regulation. Thorax.
67:122–131. 2012. View Article : Google Scholar
|
|
13
|
Van Pottelberge GR, Mestdagh P, Bracke KR,
Thas O, van Durme YM, Joos GF, Vandesompele J and Brusselle GG:
MicroRNA expression in induced sputum of smokers and patients with
chronic obstructive pulmonary disease. Am J Respir Crit Care Med.
183:898–906. 2011. View Article : Google Scholar
|
|
14
|
Akbas F, Coskunpinar E, Aynaci E, Oltulu
YM and Yildiz P: Analysis of serum micro-RNAs as potential
biomarker in chronic obstructive pulmonary disease. Exp Lung Res.
38:286–294. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Lewis A, Riddoch-Contreras J, Natanek SA,
Donaldson A, Man WD, Moxham J, Hopkinson NS, Polkey MI and Kemp PR:
Downregulation of the serum response factor/miR-1 axis in the
quadriceps of patients with COPD. Thorax. 67:26–34. 2012.
View Article : Google Scholar
|
|
16
|
Crul T, Testelmans D, Spruit MA, Troosters
T, Gosselink R, Geeraerts I, Decramer M and Gayan-Ramirez G: Gene
expression profiling in vastus lateralis muscle during an acute
exacerbation of COPD. Cell Physiol Biochem. 25:491–500. 2010.
View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Barrett T, Troup DB, Wilhite SE, Ledoux P,
Rudnev D, Evangelista C, Kim IF, Soboleva A, Tomashevsky M and
Edgar R: NCBI GEO: Mining tens of millions of expression profiles -
database and tools update. Nucleic Acids Res. 35:D760–D765. 2007.
View Article : Google Scholar
|
|
18
|
Davis S and Meltzer PS: GEOquery: a bridge
between the Gene Expression Omnibus (GEO) and BioConductor.
Bioinformatics. 14:1846–1847. 2013.
|
|
19
|
Gautier L, Cope L, Bolstad BM and Irizarry
RA: affy - analysis of Affymetrix GeneChip data at the probe level.
Bioinformatics. 20:307–315. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Gentleman RC, Carey VJ, Bates DM, Bolstad
B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, et al:
Bioconductor: Open software development for computational biology
and bioinformatics. Genome Biol. 5:R802004. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Šmídl V and Quinn A: The variational Bayes
method in signal processing. Signals and Communication Technology.
Springer Berlin; Heidelberg: 2006
|
|
22
|
Szekely GJ and Rizzo ML: Hierarchical
clustering via joint between-within distances: extending Ward's
minimum variance method. J Classif. 22:151–183. 2005. View Article : Google Scholar
|
|
23
|
Mukherjee S, Chen Z and Gangopadhyay A: A
privacy-preserving technique for Euclidean distance-based mining
algorithms using Fourier-related transforms. VLDB J. 15:293–315.
2006. View Article : Google Scholar
|
|
24
|
Dennis G Jr, Sherman BT, Hosack DA, Yang
J, Gao W, Lane HC and Lempicki RA: DAVID: Database for annotation,
visualization, and integrated discovery. Genome Biol. 4:32003.
View Article : Google Scholar
|
|
25
|
Jensen LJ, Kuhn M, Stark M, Chaffron S,
Creevey C, Muller J, Doerks T, Julien P, Roth A, Simonovic M, et
al: STRING 8 - a global view on proteins and their functional
interactions in 630 organisms. Nucleic Acids Res. 37:D412–D416.
2009. View Article : Google Scholar
|
|
26
|
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
|
|
27
|
Fujita Y, Hayashida K, Nagai M, Inoue S,
Matsumoto H, Okabe N, Reiprich TH, Sarazin CL and Takizawa M:
Suzaku observation of the Ophiuchus galaxy cluster: one of the
hottest cool core clusters. Publ Astron Soc Jpn Nihon Tenmon
Gakkai. 60:1133–1142. 2008. View Article : Google Scholar
|
|
28
|
Subramanian A, Tamayo P, Mootha VK,
Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub
TR, Lander ES and Mesirov JP: Gene set enrichment analysis: a
knowledge-based approach for interpreting genome-wide expression
profiles. Proc Natl Acad Sci USA. 102:15545–15550. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Plaisier CL, Pan M and Baliga NS: A
miRNA-regulatory network explains how dysregulated miRNAs perturb
oncogenic processes across diverse cancers. Genome Res.
22:2302–2314. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Wu X, Sun X, Chen C, Bai C and Wang X:
Dynamic gene expressions of peripheral blood mononuclear cells in
patients with acute exacerbation of chronic obstructive pulmonary
disease: a preliminary study. Crit Care. 18:5082014. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Gabellini D, Green MR and Tupler R:
Inappropriate gene activation in FSHD: a repressor complex binds a
chromosomal repeat deleted in dystrophic muscle. Cell. 110:339–348.
2002. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
van Deutekom JC, Wijmenga C, van Tienhoven
EA, Gruter AM, Hewitt JE, Padberg GW, van Ommen GJ, Hofker MH and
Frants RR: FSHD associated DNA rearrangements are due to deletions
of integral copies of a 3.2 kb tandemly repeated unit. Hum Mol
Genet. 2:2037–2042. 1993. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Rao PK, Kumar RM, Farkhondeh M,
Baskerville S and Lodish HF: Myogenic factors that regulate
expression of muscle-specific microRNAs. Proc Natl Acad Sci USA.
23:8721–8726. 2006. View Article : Google Scholar
|
|
34
|
Puig-Vilanova E, Aguiló R,
Rodríguez-Fuster A, Martínez-Llorens J, Gea J and Barreiro E:
Epigenetic mechanisms in respiratory muscle dysfunction of patients
with chronic obstructive pulmonary disease. PLoS One.
9:e1115142014. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Barreiro E, de la Puente B, Minguella J,
Corominas JM, Serrano S, Hussain SN and Gea J: Oxidative stress and
respiratory muscle dysfunction in severe chronic obstructive
pulmonary disease. Am J Respir Crit Care Med. 171:1116–1124. 2005.
View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Zelko IN, Mariani TJ and Folz RJ:
Superoxide dismutase multigene family: A comparison of the CuZn-SOD
(SOD1), Mn-SOD (SOD2), and EC-SOD (SOD3) gene structures,
evolution, and expression. Free Radic Biol Med. 33:337–349. 2002.
View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Togliatto G, Trombetta A, Dentelli P,
Cotogni P, Rosso A, Tschöp MH, Granata R, Ghigo E and Brizzi MF:
Unacylated ghrelin promotes skeletal muscle regeneration following
hindlimb ischemia via SOD-2-mediated miR-221/222 expression. J Am
Heart Assoc. 2:e0003762013. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Wilson SR, Joshi AD and Elferink CJ: The
tumor suppressor Kruppel-like factor 6 is a novel aryl hydrocarbon
receptor DNA binding partner. J Pharmacol Exp Ther. 345:419–429.
2013. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Mgbemena V, Segovia J, Chang TH and Bose
S: KLF6 and iNOS regulates apoptosis during respiratory syncytial
virus infection. Cell Immunol. 283:1–7. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Taccioli GE, Gottlieb TM, Blunt T,
Priestley A, Demengeot J, Mizuta R, Lehmann AR, Alt FW, Jackson SP
and Jeggo PA: Ku80: product of the XRCC5 gene and its role in DNA
repair and V(D)J recombination. Science. 265:1442–1445. 1994.
View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Brody JS and Spira A: State of the art.
Chronic obstructive pulmonary disease, inflammation, and lung
cancer. Proc Am Thorac Soc. 3:535–537. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Becker T, Vögtle FN, Stojanovski D and
Meisinger C: Sorting and assembly of mitochondrial outer membrane
proteins. Biochim Biophys Acta. 1777:557–563. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Baraldo S, Turato G, Badin C, Bazzan E,
Beghé B, Zuin R, Calabrese F, Casoni G, Maestrelli P, Papi A, et
al: Neutrophilic infiltration within the airway smooth muscle in
patients with COPD. Thorax. 59:308–312. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Fowler VM, Greenfield NJ and Moyer J:
Tropomodulin contains two actin filament pointed end-capping
domains. J Biol Chem. 278:40000–40009. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Peinado VI, Pizarro S and Barberà JA:
Pulmonary vascular involvement in COPD. Chest. 134:808–814. 2008.
View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Kong KY1, Owens KS, Rogers JH, Mullenix J,
Velu CS, Grimes HL and Dahl R: miR-23A microRNA cluster inhibits
B-cell development. Exp Hematol. 38:629–640. e6212010. View Article : Google Scholar : PubMed/NCBI
|
|
47
|
De Palma S, Capitanio D, Vasso M,
Braghetta P, Scotton C, Bonaldo P, Lochmüller H, Muntoni F, Ferlini
A and Gelfi C: Muscle proteomics reveals novel insights into the
pathophysiological mechanisms of collagen VI myopathies. J Proteome
Res. 13:5022–5030. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Thulin P, Wei T, Werngren O, Cheung L,
Fisher RM, Grandér D, Corcoran M and Ehrenborg E: MicroRNA-9
regulates the expression of peroxisome proliferator-activated
receptor δ in human monocytes during the inflammatory response. Int
J Mol Med. 31:1003–1010. 2013.PubMed/NCBI
|
|
49
|
Bazzoni F, Rossato M, Fabbri M, Gaudiosi
D, Mirolo M, Mori L, Tamassia N, Mantovani A, Cassatella MA and
Locati M: Induction and regulatory function of miR-9 in human
monocytes and neutrophils exposed to proinflammatory signals. Proc
Natl Acad Sci USA. 106:5282–5287. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
50
|
Packer AN, Xing Y, Harper SQ, Jones L and
Davidson BL: The bifunctional microRNA miR-9/miR-9*
regulates REST and CoREST and is downregulated in Huntington's
disease. J Neurosci. 28:14341–14346. 2008. View Article : Google Scholar
|
|
51
|
Otaegi G, Pollock A, Hong J and Sun T:
MicroRNA miR-9 modifies motor neuron columns by a tuning regulation
of FoxP1 levels in developing spinal cords. J Neurosci. 31:809–818.
2011. View Article : Google Scholar : PubMed/NCBI
|
|
52
|
Reuter S, Beckert H and Taube C: Take the
Wnt out of the inflammatory sails: modulatory effects of Wnt in
airway diseases. Lab Invest. 2:177–185. 2015.
|
|
53
|
Goss AM, Tian Y, Cheng L, Yang J, Zhou D,
Cohen ED and Morrisey EE: Wnt2 signaling is necessary and
sufficient to activate the airway smooth muscle program in the lung
by regulating myocardin/Mrtf-B and Fgf10 expression. Dev Biol.
356:541–552. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
54
|
Chen CH, Dixon RA, Ke LY and Willerson JT:
Vascular progenitor cells in diabetes mellitus: roles of Wnt
signaling and negatively charged low-density lipoprotein. Circ Res.
9:1038–1040. 2009. View Article : Google Scholar
|
