|
1
|
Jefferies JL and Towbin JA: Dilated
cardiomyopathy. Lancet. 375:752–762. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Fatkin D, Huttner IG, Kovacic JC, Seidman
JG and Seidman CE: Precision medicine in the management of dilated
cardiomyopathy: JACC state-of-the-art review. J Am Coll Cardiol.
74:2921–2938. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Richardson P, McKenna W, Bristow M, Maisch
B, Mautner B, O'Connell J, Olsen E, Thiene G, Goodwin J, Gyarfas I,
et al: Report of the 1995 world health organization/international
society and federation of cardiology task force on the definition
and classification of cardiomyopathies. Circulation. 93:841–842.
1996. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Hunt SA, Abraham WT, Chin MH, Feldman AM,
Francis GS, Ganiats TG, Jessup M, Konstam MA, Mancini DM, Michl K,
et al: 2009 Focused update incorporated into the ACC/AHA 2005
guidelines for the diagnosis and management of heart failure in
adults a report of the American college of cardiology
foundation/american heart association task force on practice
guidelines developed in collaboration with the international
society for heart and lung transplantation. J Am Coll Cardiol.
53:e1–e90. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Rosenbaum AN, Agre KE and Pereira NL:
Genetics of dilated cardiomyopathy: Practical implications for
heart failure management. Nat Rev Cardiol. 17:286–297. 2020.
View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Huang H, Luo B, Wang B, Wu Q, Liang Y and
He Y: Identification of potential gene interactions in heart
failure caused by idiopathic dilated cardiomyopathy. Med Sci Monit.
24:7697–7709. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Xiao J, Li F, Yang Q, Zeng XF and Ke ZP:
Co-expression analysis provides important module and pathways of
human dilated cardiomyopathy. J Cell Physiol. 235:494–503. 2020.
View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Zhuang Y, Gong YJ, Zhong BF, Zhou Y and
Gong L: Bioinformatics method identifies potential biomarkers of
dilated cardiomyopathy in a human induced pluripotent stem
cell-derived cardiomyocyte model. Exp Ther Med. 14:2771–2778. 2017.
View Article : Google Scholar : PubMed/NCBI
|
|
9
|
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
|
|
10
|
Carlson M: hgu133plus2.db: Affymetrix
Human Genome U133 Plus 2.0 Array annotation data (chip
hgu133plus2), R package version 3.2.3. 2016.
|
|
11
|
MacDonald JW:
hugene10sttranscriptcluster.db: Affymetrix hugene10 annotation data
(chip hugene10sttranscriptcluster). R package version 8.7.0.
2017.
|
|
12
|
Carlson M: hgu133a.db: Affymetrix Human
Genome U133 Set annotation data (chip hgu133a). R package version
3.2.3. 2016.
|
|
13
|
Marot G, Foulley JL, Mayer CD and
Jaffrézic F: Moderated effect size and P-value combinations for
microarray meta-analyses. Bioinformatics. 25:2692–2699. 2009.
View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Del Carratore F, Jankevics A, Eisinga R,
Heskes T, Hong F and Breitling R: RankProd 2.0: A refactored
bioconductor package for detecting differentially expressed
features in molecular profiling datasets. Bioinformatics.
33:2774–2775. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
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
|
|
16
|
Huang da W, Sherman BT and Lempicki RA:
Bioinformatics enrichment tools: Paths toward the comprehensive
functional analysis of large gene lists. Nucleic Acids Res.
37:1–13. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
The Gene Ontology Consortium, . The gene
ontology resource: 20 years and still GOing strong. Nucleic Acids
Res. 47(D1): D330–D338. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Kanehisa M, Furumichi M, Tanabe M, Sato Y
and Morishima K: KEGG: New perspectives on genomes, pathways,
diseases and drugs. Nucleic Acids Res. 45(D1):D353–D361. 2017.
View Article : Google Scholar
|
|
19
|
Wickham H: ggplot2: Elegant graphics for
data analysis. Springer. 2016.
|
|
20
|
Szklarczyk D, Morris JH, Cook H, Kuhn M,
Wyder S, Simonovic M, Santos A, Doncheva NT, Roth A, Bork P, et al:
The STRING database in 2017: Quality-controlled protein-protein
association networks, made broadly accessible. Nucleic Acids Res.
45(D1): D362–D368. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Bader GD and Hogue CW: An automated method
for finding molecular complexes in large protein interaction
networks. BMC Bioinformatics. 4:22003. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Chin CH, Chen SH, Wu HH, Ho CW, Ko MT and
Lin CY: cytoHubba: Identifying hub objects and sub-networks from
complex interactome. BMC Syst Biol. 8 (Suppl 4):S112014. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
National Research Council (US) Committee
for the Update of the Guide for the Care and Use of Laboratory
Animals, . Guide for the Care and Use of Laboratory Animals. (8th).
National Academies Press (US) National Academy of Sciences.
(Washington (DC)). 2011.
|
|
24
|
Sun A, Cheng Y, Zhang Y, Zhang Q, Wang S,
Tian S, Zou Y, Hu K, Ren J and Ge J: Aldehyde dehydrogenase 2
ameliorates doxorubicin-induced myocardial dysfunction through
detoxification of 4-HNE and suppression of autophagy. J Mol Cell
Cardiol. 71:92–104. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Xia Y, Chen Z, Chen A, Fu M, Dong Z, Hu K,
Yang X, Zou Y, Sun A, Qian J and Ge J: LCZ696 improves cardiac
function via alleviating Drp1-mediated mitochondrial dysfunction in
mice with doxorubicin-induced dilated cardiomyopathy. J Mol Cell
Cardiol. 108:138–148. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Stypmann J, Engelen MA, Troatz C,
Rothenburger M, Eckardt L and Tiemann K: Echocardiographic
assessment of global left ventricular function in mice. Lab Anim.
43:127–137. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
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
|
|
28
|
Gonzalez-Valdes I, Hidalgo I, Bujarrabal
A, Lara-Pezzi E, Padron-Barthe L, Garcia-Pavia P, Gómez-del Arco P,
Redondo JM, Ruiz-Cabello JM, Jimenez-Borreguero LJ, et al: Bmi1
limits dilated cardiomyopathy and heart failure by inhibiting
cardiac senescence. Nat Commun. 6:64732015. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Li S, Wang W, Niu T, Wang H, Li B, Shao L,
Lai Y, Li H, Janicki JS, Wang XL, et al: Nrf2 deficiency
exaggerates doxorubicin-induced cardiotoxicity and cardiac
dysfunction. Oxid Med Cell Longev. 2014:7485242014. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Gomes AC, Falcão-Pires I, Pires AL,
Brás-Silva C and Leite-Moreira AF: Rodent models of heart failure:
An updated review. Heart Fail Rev. 18:219–249. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Bozkurt B, Colvin M, Cook J, Cooper LT,
Deswal A, Fonarow GC, Francis GS, Lenihan D, Lewis EF, McNamara DM,
et al: Current diagnostic and treatment strategies for specific
dilated cardiomyopathies: A scientific statement from the American
heart association. Circulation. 134:e579–e646. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Bruggeman LA, Wu Z, Luo L, Madhavan SM,
Konieczkowski M, Drawz PE, Thomas DB, Barisoni L, Sedor JR and
O'Toole JF: APOL1-G0 or APOL1-G2 transgenic models develop
preeclampsia but not kidney disease. J Am Soc Nephrol.
27:3600–3610. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Zhao J, Lv T, Quan J, Zhao W, Song J, Li
Z, Lei H, Huang W and Ran L: Identification of target genes in
cardiomyopathy with fibrosis and cardiac remodeling. J Biomed Sci.
25:632018. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Zhang H, Yu Z, He J, Hua B and Zhang G:
Identification of the molecular mechanisms underlying dilated
cardiomyopathy via bioinformatic analysis of gene expression
profiles. Exp Ther Med. 13:273–279. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Vasilyev VB: Looking for a partner:
Ceruloplasmin in protein- protein interactions. Biometals.
32:195–210. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Cabassi A, Binno SM, Tedeschi S, Ruzicka
V, Dancelli S, Rocco R, Vicini V, Coghi P, Regolisti G, Montanari
A, et al: Low serum ferroxidase I activity is associated with
mortality in heart failure and related to both
peroxynitrite-induced cysteine oxidation and tyrosine nitration of
ceruloplasmin. Circ Res. 114:1723–1732. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Hammadah M, Fan Y, Wu Y, Hazen SL and Tang
WH: Prognostic value of elevated serum ceruloplasmin levels in
patients with heart failure. J Card Fail. 20:946–952. 2014.
View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Sahoo SK and Kim do H: Characterization of
calumenin in mouse heart. BMB Rep. 43:158–163. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Sahoo SK and Kim DH: Calumenin interacts
with SERCA2 in rat cardiac sarcoplasmic reticulum. Mol Cells.
26:265–269. 2008.PubMed/NCBI
|
|
40
|
Mazzarotto F, Tayal U, Buchan RJ,
Midwinter W, Wilk A, Whiffin N, Govind R, Mazaika E, de Marvao A,
Dawes TJW, et al: Reevaluating the genetic contribution of
monogenic dilated cardiomyopathy. Circulation. 141:387–398. 2020.
View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Ng LL, Squire IB, Jones DJ, Cao TH, Chan
DCS, Sandhu JK, Quinn PA, Davies JE, Struck J, Hartmann O, et al:
Proenkephalin, renal dysfunction, and prognosis in patients with
acute heart failure: A GREAT network study. J Am Coll Cardiol.
69:56–69. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Hollinger A, Wittebole X, François B,
Pickkers P, Antonelli M, Gayat E, Chousterman BG, Lascarrou JB,
Dugernier T, Di Somma S, et al: Proenkephalin A 119–159 (Penkid) is
an early biomarker of septic acute kidney injury: The kidney in
sepsis and septic shock (Kid-SSS) study. Kidney Int Rep.
3:1424–1433. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Emmens JE, Ter Maaten JM, Damman K, van
Veldhuisen DJ, de Boer RA, Struck J, Bergmann A, Sama IE, Streng
KW, Anker SD, et al: Proenkephalin, an opioid system surrogate, as
a novel comprehensive renal marker in heart failure. Circ Heart
Fail. 12:e0055442019. View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Marino R, Struck J, Hartmann O, Maisel AS,
Rehfeldt M, Magrini L, Melander O, Bergmann A and Di Somma S:
Diagnostic and short-term prognostic utility of plasma
pro-enkephalin (pro-ENK) for acute kidney injury in patients
admitted with sepsis in the emergency department. J Nephrol.
28:717–724. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Shah S, Shapiro R, Murphy B and Menon MC:
APOL1 high-risk genotypes and renal transplantation. Clin
Transplant. 33:e135822019. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Yogasundaram H, Chappell MC, Braam B and
Oudit GY: Cardiorenal syndrome and heart failure-challenges and
opportunities. Can J Cardiol. 35:1208–1219. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Kanagala P, Squire IB, Jones DJL, Cao TH,
Chan DCS, McCann G, Sandhu JK, Quinn PA, McAdam J, Marsh AM, et al:
Proenkephalin and prognosis in heart failure with preserved
ejection fraction: A GREAT network study. Clin Res Cardiol.
108:940–949. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Robinson TW and Freedman BI: The Impact of
APOL1 on chronic kidney disease and hypertension. Adv Chronic
Kidney Dis. 26:131–136. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
49
|
Webb TR, Matarin M, Gardner JC, Kelberman
D, Hassan H, Ang W, Michaelides M, Ruddle JB, Pennell CE, Yazar S,
et al: X-linked megalocornea caused by mutations in CHRDL1
identifies an essential role for ventroptin in anterior segment
development. Am J Hum Genet. 90:247–259. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
50
|
Sun B, Huo R, Sheng Y, Li Y, Xie X, Chen
C, Liu HB, Li N, Li CB, Guo WT, et al: Bone morphogenetic protein-4
mediates cardiac hypertrophy, apoptosis, and fibrosis in
experimentally pathological cardiac hypertrophy. Hypertension.
61:352–360. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
51
|
Wu X, Sagave J, Rutkovskiy A, Haugen F,
Baysa A, Nygård S, Czibik G, Dahl CP, Gullestad L, Vaage J and
Valen G: Expression of bone morphogenetic protein 4 and its
receptors in the remodeling heart. Life Sci. 97:145–154. 2014.
View Article : Google Scholar : PubMed/NCBI
|
|
52
|
Ranke MB: Insulin-like growth factor
binding-protein-3 (IGFBP-3). Best Pract. Res Clin Endocrinol Metab.
29:701–711. 2015.
|
|
53
|
Feng CC, Lin CC, Lai YP, Chen TS,
Marthandam Asokan S, Lin JY, Lin KH, Viswanadha VP, Kuo WW and
Huang CY: Hypoxia suppresses myocardial survival pathway through
HIF-1α-IGFBP-3-dependent signaling and enhances cardiomyocyte
autophagic and apoptotic effects mainly via FoxO3a-induced BNIP3
expression. Growth Factors. 34:73–86. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
54
|
Japp AG, Gulati A, Cook SA, Cowie MR and
Prasad SK: The diagnosis and evaluation of dilated cardiomyopathy.
J Am Coll Cardiol. 67:2996–3010. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
55
|
Ky B, Putt M, Sawaya H, French B, Januzzi
JL Jr, Sebag IA, Plana JC, Cohen V, Banchs J, Carver JR, et al:
Early increases in multiple biomarkers predict subsequent
cardiotoxicity in patients with breast cancer treated with
doxorubicin, taxanes, and trastuzumab. J Am Coll Cardiol.
63:809–816. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
56
|
Chen L and Knowlton AA: Mitochondrial
dynamics in heart failure. Congest Heart Fail. 17:257–261. 2011.
View Article : Google Scholar : PubMed/NCBI
|
|
57
|
Pang XF, Lin X, Du JJ and Zeng DY: LTBP2
knockdown by siRNA reverses myocardial oxidative stress injury,
fibrosis and remodelling during dilated cardiomyopathy. Acta
Physiol (Oxf). 228:e133772020. View Article : Google Scholar : PubMed/NCBI
|
|
58
|
Lubrano V and Balzan S: Role of oxidative
stress-related biomarkers in heart failure: Galectin 3,
α1-antitrypsin and LOX-1: New therapeutic perspective? Mol Cell
Biochem. 464:143–152. 2020. View Article : Google Scholar : PubMed/NCBI
|
|
59
|
Liu L, Sun K, Zhang X, Tang Y and Xu D:
Advances in the role and mechanism of BAG3 in dilated
cardiomyopathy. Heart Fail Rev. Dec 6–2019.(Epub ahead of print).
View Article : Google Scholar
|
|
60
|
Mazelin L, Panthu B, Nicot AS, Belotti E,
Tintignac L, Teixeira G, Zhang Q, Risson V, Baas D, Delaune E, et
al: mTOR inactivation in myocardium from infant mice rapidly leads
to dilated cardiomyopathy due to translation defects and
p53/JNK-mediated apoptosis. J Mol Cell Cardiol. 97:213–225. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
61
|
Ni C, Ma P, Wang R, Lou X, Liu X, Qin Y,
Xue R, Blasig I, Erben U and Qin Z: Doxorubicin-induced
cardiotoxicity involves IFNγ-mediated metabolic reprogramming in
cardiomyocytes. J Pathol. 247:320–332. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
62
|
Goyal V, Bews H, Cheung D, Premecz S,
Mandal S, Shaikh B, Best R, Bhindi R, Chaudhary R, Ravandi A, et
al: The cardioprotective role of N-Acetyl cysteine amide in the
prevention of doxorubicin and trastuzumab-mediated cardiac
dysfunction. Can J Cardiol. 32:1513–1519. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
63
|
Liu D, Ma Z, Di S, Yang Y, Yang J, Xu L,
Reiter RJ, Qiao S and Yuan J: AMPK/PGC1α activation by melatonin
attenuates acute doxorubicin cardiotoxicity via alleviating
mitochondrial oxidative damage and apoptosis. Free Radic Biol Med.
129:59–72. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
64
|
Schultheiss HP, Fairweather D, Caforio
ALP, Escher F, Hershberger RE, Lipshultz SE, Liu PP, Matsumori A,
Mazzanti A, McMurray J and Priori SG: Dilated cardiomyopathy. Nat
Rev Dis Primers. 5:322019. View Article : Google Scholar : PubMed/NCBI
|
