PMID- 30246236
OWN - NLM
STAT- MEDLINE
DCOM- 20210917
LR  - 20220531
IS  - 1898-018X (Electronic)
IS  - 1897-5593 (Print)
IS  - 1898-018X (Linking)
VI  - 27
IP  - 6
DP  - 2020
TI  - Identification of biomarkers and mechanisms of diabetic cardiomyopathy using 
      microarray data.
PG  - 807-816
LID - 10.5603/CJ.a2018.0113 [doi]
AB  - BACKGROUND: The study aimed to uncover the regulation mechanisms of diabetic 
      cardiomyopathy (DCM) and provide novel prognostic biomarkers. METHODS: The 
      dataset GSE62203 downloaded from the Gene Expression Omnibus database was 
      utilized in the present study. After pretreatment using the Affy package, 
      differentially expressed genes (DEGs) were identified by the limma package, 
      followed by functional enrichment analysis and protein- protein interaction (PPI) 
      network analysis. Furthermore, module analysis was conducted using MCODE plug-in 
      of Cytoscape, and functional enrichment analysis was also performed for genes in 
      the modules. RESULTS: A set of 560 DEGs were screened, mainly enriched in the 
      metabolic process and cell cycle related process. Hub nodes in the PPI network 
      were LDHA (lactate dehydrogenase A), ALDOC (aldolase C, fructose-bisphosphate) 
      and ABCE1 (ATP Binding Cassette Subfamily E Member 1), which were also 
      highlighted in Module 1 or Module 2 and predominantly enriched in the processes 
      of glycolysis and ribosome biogenesis. Additionally, LDHA were linked with ALDOC 
      in the PPI network. Besides, activating transcription factor 4 (ATF4) was 
      prominent in Module 3; while myosin heavy chain 6 (MYH6) was highlighted in 
      Module 4 and was mainly involved in muscle cells related biological processes. 
      CONCLUSIONS: Five potential biomarkers including LDHA, ALDOC, ABCE1, ATF4 and 
      MYH6 were identified for DCM prognosis.
FAU - Li, Hui
AU  - Li H
AD  - Department of Endocrinology, Shaanxi Provincial People's Hospital.
FAU - Li, Xiaoyan
AU  - Li X
AD  - Department of Endocrinology, Shaanxi Provincial People's Hospital.
FAU - Guo, Jian
AU  - Guo J
AD  - Department of Endocrinology, Shaanxi Provincial People's Hospital.
FAU - Wu, Guifu
AU  - Wu G
AD  - Department of Endocrinology, Shaanxi Provincial People's Hospital.
FAU - Dong, Chunping
AU  - Dong C
AD  - Department of Endocrinology, Shaanxi Provincial People's Hospital.
FAU - Pang, Yaling
AU  - Pang Y
AD  - Department of Endocrinology, Shaanxi Provincial People's Hospital.
FAU - Gao, Shan
AU  - Gao S
AD  - Department of Endocrinology, Shaanxi Provincial People's Hospital.
FAU - Wang, Yangwei
AU  - Wang Y
AD  - Department of Endocrinology, Shaanxi Provincial People's Hospital. 
      yangweiwang15@hotmail.com.
LA  - eng
PT  - Journal Article
DEP - 20180924
PL  - Poland
TA  - Cardiol J
JT  - Cardiology journal
JID - 101392712
RN  - 0 (Biomarkers)
SB  - IM
MH  - Biomarkers
MH  - *Diabetes Mellitus
MH  - *Diabetic Cardiomyopathies/diagnosis/genetics
MH  - Gene Expression Profiling
MH  - Gene Regulatory Networks
MH  - Humans
MH  - Microarray Analysis
PMC - PMC8079087
OTO - NOTNLM
OT  - diabetic cardiomyopathy
OT  - differential analysis
OT  - expression profile
OT  - glycolysis
OT  - module analysis
OT  - ribosome biogenesis
COIS- Conflict of interest: None declared
EDAT- 2018/09/25 06:00
MHDA- 2021/09/18 06:00
PMCR- 2020/12/31
CRDT- 2018/09/25 06:00
PHST- 2017/01/10 00:00 [received]
PHST- 2017/05/03 00:00 [accepted]
PHST- 2018/09/20 00:00 [revised]
PHST- 2018/09/25 06:00 [pubmed]
PHST- 2021/09/18 06:00 [medline]
PHST- 2018/09/25 06:00 [entrez]
PHST- 2020/12/31 00:00 [pmc-release]
AID - VM/OJS/J/50255 [pii]
AID - cardj-27-6-807 [pii]
AID - 10.5603/CJ.a2018.0113 [doi]
PST - ppublish
SO  - Cardiol J. 2020;27(6):807-816. doi: 10.5603/CJ.a2018.0113. Epub 2018 Sep 24.