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

• Main Authors: Yichong Zhang, Yuanbo Zhan, Yuhui Kou, Xiaofeng Yin, Yanhua Wang, Dianying Zhang
• Format: Article
• Language: English
• Published: PeerJ Inc. 2020-01-01
• Series: PeerJ
• Subjects: Heterotopic ossification; Spinal cord injury; Traumatic brain injury adipogenesis; Text mining
• Online Access: https://peerj.com/articles/8276.pdf

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.