PMID- 28260062
OWN - NLM
STAT- MEDLINE
DCOM- 20170515
LR  - 20181113
IS  - 1791-3004 (Electronic)
IS  - 1791-2997 (Print)
IS  - 1791-2997 (Linking)
VI  - 15
IP  - 4
DP  - 2017 Apr
TI  - Serum microRNA profiling and bioinformatics analysis of patients with type 2 
      diabetes mellitus in a Chinese population.
PG  - 2143-2153
LID - 10.3892/mmr.2017.6239 [doi]
AB  - Type 2 diabetes mellitus (T2DM) is characterized by islet beta-cell dysfunction and 
      insulin resistance, which leads to an inability to maintain blood glucose 
      homeostasis. Circulating microRNAs (miRNAs) have been suggested as novel 
      biomarkers for T2DM prediction or disease progression. However, miRNAs and their 
      roles in the pathogenesis of T2DM remain to be fully elucidated. In the present 
      study, the serum miRNA expression profiles of T2DM patients in Chinese cohorts 
      were examined. Total RNA was extracted from serum samples of 10 patients with 
      T2DM and five healthy controls, and these was used in 
      reverse-transcription‑quantitative polymerase chain reaction analysis with the 
      Exiqon PCR system of 384 serum/plasma miRNAs. A total of seven miRNAs were 
      differentially expressed between the two groups (fold change >3 or <0.33; 
      P<0.05). The serum expression levels of miR‑455‑5p, miR‑454‑3p, miR‑144‑3p and 
      miR‑96‑5p were higher in patients with T2DM, compared with those of healthy 
      subjects, however, the levels of miR‑409‑3p, miR‑665 and miR‑766‑3p were lower. 
      Hierarchical cluster analysis indicated that it was possible to separate patients 
      with T2DM and control individuals into their own similar categories by these 
      differential miRNAs. Target prediction showed that 97 T2DM candidate genes were 
      potentially modulated by these seven miRNAs. Kyoto Encyclopedia of Genes and 
      Genomes pathway analysis revealed that 24 pathways were enriched for these genes, 
      and the majority of these pathways were enriched for the targets of induced and 
      repressed miRNAs, among which insulin, adipocytokine and T2DM pathways, and 
      several cancer‑associated pathways have been previously associated with T2DM. In 
      conclusion, the present study demonstrated that serum miRNAs may be novel 
      biomarkers for T2DM and provided novel insights into the pathogenesis of T2DM.
FAU - Yang, Ze-Min
AU  - Yang ZM
AD  - Department of Biochemistry and Molecular Biology, School of Basic Courses, 
      Guangdong Pharmaceutical University, Guangzhou, Guangdong 510006, P.R. China.
FAU - Chen, Long-Hui
AU  - Chen LH
AD  - Pi‑Wei Institute, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 
      510405, P.R. China.
FAU - Hong, Min
AU  - Hong M
AD  - Department of Traditional Chinese Medicine, The First Affiliated Hospital of 
      Guangdong Pharmaceutical University, Guangzhou, Guangdong 510080, P.R. China.
FAU - Chen, Ying-Yu
AU  - Chen YY
AD  - Department of Traditional Chinese Medicine, The First Affiliated Hospital of 
      Guangdong Pharmaceutical University, Guangzhou, Guangdong 510080, P.R. China.
FAU - Yang, Xiao-Rong
AU  - Yang XR
AD  - Clinical Laboratory, The First Affiliated Hospital of Guangdong Pharmaceutical 
      University, Guangzhou, Guangdong 510080, P.R. China.
FAU - Tang, Si-Meng
AU  - Tang SM
AD  - Department of Biochemistry and Molecular Biology, School of Basic Courses, 
      Guangdong Pharmaceutical University, Guangzhou, Guangdong 510006, P.R. China.
FAU - Yuan, Qian-Fa
AU  - Yuan QF
AD  - Department of Biochemistry and Molecular Biology, School of Basic Courses, 
      Guangdong Pharmaceutical University, Guangzhou, Guangdong 510006, P.R. China.
FAU - Chen, Wei-Wen
AU  - Chen WW
AD  - Pi‑Wei Institute, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 
      510405, P.R. China.
LA  - eng
PT  - Journal Article
DEP - 20170222
PL  - Greece
TA  - Mol Med Rep
JT  - Molecular medicine reports
JID - 101475259
RN  - 0 (MicroRNAs)
SB  - IM
MH  - Aged
MH  - China/epidemiology
MH  - Cluster Analysis
MH  - Cohort Studies
MH  - Diabetes Mellitus, Type 2/blood/epidemiology/*genetics
MH  - Female
MH  - *Gene Expression Profiling
MH  - Gene Expression Regulation
MH  - Genomics
MH  - Humans
MH  - Male
MH  - MicroRNAs/blood/*genetics
MH  - Middle Aged
PMC - PMC5364922
EDAT- 2017/03/06 06:00
MHDA- 2017/05/16 06:00
PMCR- 2017/02/22
CRDT- 2017/03/06 06:00
PHST- 2015/12/31 00:00 [received]
PHST- 2016/12/19 00:00 [accepted]
PHST- 2017/03/06 06:00 [pubmed]
PHST- 2017/05/16 06:00 [medline]
PHST- 2017/03/06 06:00 [entrez]
PHST- 2017/02/22 00:00 [pmc-release]
AID - mmr-15-04-2143 [pii]
AID - 10.3892/mmr.2017.6239 [doi]
PST - ppublish
SO  - Mol Med Rep. 2017 Apr;15(4):2143-2153. doi: 10.3892/mmr.2017.6239. Epub 2017 Feb 
      22.