Identification of biological pathways and genes associated with neurogenic heterotopic ossification by text mining

PeerJ

article

Yichong Zhang¹  Yuanbo Zhan²  Yuhui Kou¹  Xiaofeng Yin¹  Yanhua Wang¹  Dianying Zhang¹ 

[1] Department of Trauma and Orthopaedic Surgery, Peking University People’s Hospital;Department of Periodontology and Oral Mucosa, the Second Affiliated Hospital of Harbin Medical University

关键词: Heterotopic ossification;    Spinal cord injury;    Traumatic brain injury adipogenesis;    Text mining;   

DOI  :  10.7717/peerj.8276

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

Background Neurogenic heterotopic ossification is a disorder of aberrant bone formation affecting one in five patients sustaining a spinal cord injury or traumatic brain injury (SCI-TBI-HO). However, the underlying mechanisms of SCI-TBI-HO have proven difficult to elucidate. The aim of the present study is to identify the most promising candidate genes and biological pathways for SCI-TBI-HO. Methods In this study, we used text mining to generate potential explanations for SCI-TBI-HO. Moreover, we employed several additional datasets, including gene expression profile data, drug data and tissue-specific gene expression data, to explore promising genes that associated with SCI-TBI-HO. Results We identified four SCI-TBI-HO-associated genes, including GDF15, LDLR, CCL2, and CLU. Finally, using enrichment analysis, we identified several pathways, including integrin signaling, insulin pathway, internalization of ErbB1, urokinase-type plasminogen activator and uPAR-mediated signaling, PDGFR-beta signaling pathway, EGF receptor (ErbB1) signaling pathway, and class I PI3K signaling events, which may be associated with SCI-TBI-HO. Conclusions These results enhance our understanding of the molecular mechanisms of SCI-TBI-HO and offer new leads for researchers and innovative therapeutic strategies.

【 授权许可】

CC BY