期刊论文详细信息
BMC Medical Genomics
Osteoarthritis related epigenetic variations in miRNA expression and DNA methylation
Research
Zhen Chen1  Lingpeng Jin1  Zhikuan Li1  Ziqi Shang1  Jiangtao Dong1  Fei Wang1  Jun Ma2 
[1] Department of Orthopedic Surgery, The Third Hospital of Hebei Medical University, 050051, Shijiazhuang, Hebei, China;Hebei Medical University-National University of Ireland Galway Stem Cell Research Center, Hebei Medical University, 050017, Shijiazhuang, Hebei, China;
关键词: Epigenetics;    DNA methylation;    MicroRNA;    Bioinformatics;    Osteoarthritis;   
DOI  :  10.1186/s12920-023-01597-6
 received in 2022-10-19, accepted in 2023-07-01,  发布年份 2023
来源: Springer
PDF
【 摘 要 】

Osteoarthritis (OA) is chronic arthritis characterized by articular cartilage degradation. However, a comprehensive regulatory network for OA-related microRNAs and DNA methylation modifications has yet to be established. Thus, we aimed to identify epigenetic changes in microRNAs and DNA methylation and establish the regulatory network between miRNAs and DNA methylation. The mRNA, miRNA, and DNA methylation expression profiles of healthy or osteoarthritis articular cartilage samples were downloaded from Gene Expression Omnibus (GEO) database, including GSE169077, GSE175961, and GSE162484. The differentially expressed genes (DEGs), differentially expressed miRNAs (DEMs), and differentially methylated genes (DMGs) were analyzed by the online tool GEO2R. DAVID and STRING databases were applied for functional enrichment analysis and protein-protein interaction (PPI) network. Potential therapeutic compounds for the treatment of OA were identified by Connectivity map (CMap) analysis. A total of 1424 up-regulated DEGs, 1558 down-regulated DEGs, 5 DEMs with high expression, 6 DEMs with low expression, 1436 hypermethylated genes, and 455 hypomethylated genes were selected. A total of 136 up-regulated and 65 downregulated genes were identified by overlapping DEGs and DEMs predicted target genes which were enriched in apoptosis and circadian rhythm. A total of 39 hypomethylated and 117 hypermethylated genes were obtained by overlapping DEGs and DMGs, which were associated with ECM receptor interactions and cellular metabolic processes, cell connectivity, and transcription. Moreover, The PPI network showed COL5A1, COL6A1, LAMA4, T3GAL6A, and TP53 were the most connective proteins. After overlapping of DEGs, DMGs and DEMs predicted targeted genes, 4 up-regulated genes and 11 down-regulated genes were enriched in the Axon guidance pathway. The top ten genes ranked by PPI network connectivity degree in the up-regulated and downregulated overlapping genes of DEGs and DMGs were further analyzed by the CMap database, and nine chemicals were predicted as potential drugs for the treatment of OA. In conclusion, TP53, COL5A1, COL6A1, LAMA4, and ST3GAL6 may play important roles in OA genesis and development.

【 授权许可】

CC BY   
© The Author(s) 2023

【 预 览 】
附件列表
Files Size Format View
RO202309144530799ZK.pdf 7000KB PDF download
MediaObjects/42004_2023_927_MOESM1_ESM.pdf 3435KB PDF download
MediaObjects/40360_2019_335_MOESM1_ESM.docx 59KB Other download
MediaObjects/40249_2023_1106_MOESM3_ESM.docx 16KB Other download
Fig. 2 286KB Image download
Fig. 2 2191KB Image download
Fig. 3 168KB Image download
MediaObjects/40544_2022_719_MOESM1_ESM.pdf 535KB PDF download
Fig. 6 107KB Image download
MediaObjects/42004_2023_939_MOESM3_ESM.xlsx 456KB Other download
153KB Image download
MediaObjects/13690_2023_1141_MOESM1_ESM.xlsx 23KB Other download
MediaObjects/12902_2023_1403_MOESM1_ESM.docx 87KB Other download
【 图 表 】

Fig. 6

Fig. 3

Fig. 2

Fig. 2

【 参考文献 】
  • [1]
  • [2]
  • [3]
  • [4]
  • [5]
  • [6]
  • [7]
  • [8]
  • [9]
  • [10]
  • [11]
  • [12]
  • [13]
  • [14]
  • [15]
  • [16]
  • [17]
  • [18]
  • [19]
  • [20]
  • [21]
  • [22]
  • [23]
  • [24]
  • [25]
  • [26]
  • [27]
  • [28]
  • [29]
  • [30]
  • [31]
  • [32]
  • [33]
  • [34]
  • [35]
  • [36]
  • [37]
  • [38]
  • [39]
  • [40]
  • [41]
  • [42]
  • [43]
  • [44]
  • [45]
  • [46]
  • [47]
  • [48]
  • [49]
  • [50]
  • [51]
  • [52]
  • [53]
  • [54]
  • [55]
  • [56]
  • [57]
  • [58]
  • [59]
  • [60]
  • [61]
  • [62]
  • [63]
  • [64]
  • [65]
  • [66]
  • [67]
  • [68]
  • [69]
  • [70]
  • [71]
  • [72]
  • [73]
  • [74]
  • [75]
  文献评价指标  
  下载次数:3次 浏览次数:2次