Bioinformatics Analysis of the Molecular Mechanism of Aging on Fracture Healing
Joint Authors
Zhao, Shu-Jie
Kong, Fan-Qi
Fan, Jin
Chen, Ying
Zhou, Shuai
Xue, Ming-Xin
Yin, Guo-Yong
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Increasing age negatively affects different phases of bone fracture healing.
The present study aimed to explore underlying mechanisms related to bone fracture repair in the elderly.
GSE17825 public transcriptome data from the Gene Expression Omnibus database were used for analysis.
First, raw data were normalized and differentially expressed genes (DEGs) were identified.
Next, Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses were implemented to evaluate pathways and DEGs.
A protein–protein interaction (PPI) network was then constructed.
A total of 726, 861, and 432 DEGs were identified between the young and elderly individuals at 1, 3, and 5 days after fracture, respectively.
The results of GO, KEGG, and PPI network analyses suggested that the inflammatory response, Wnt signaling pathway, vascularization-associated processes, and synaptic-related functions of the identified DEGs are markedly enriched, which may account for delayed fracture healing in the elderly.
These findings provide valuable clues for investigating the effects of aging on fracture healing but should be validated through further experiments.
American Psychological Association (APA)
Zhao, Shu-Jie& Kong, Fan-Qi& Fan, Jin& Chen, Ying& Zhou, Shuai& Xue, Ming-Xin…[et al.]. 2018. Bioinformatics Analysis of the Molecular Mechanism of Aging on Fracture Healing. BioMed Research International،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1128584
Modern Language Association (MLA)
Zhao, Shu-Jie…[et al.]. Bioinformatics Analysis of the Molecular Mechanism of Aging on Fracture Healing. BioMed Research International No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1128584
American Medical Association (AMA)
Zhao, Shu-Jie& Kong, Fan-Qi& Fan, Jin& Chen, Ying& Zhou, Shuai& Xue, Ming-Xin…[et al.]. Bioinformatics Analysis of the Molecular Mechanism of Aging on Fracture Healing. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1128584
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1128584