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


ABSTRACT: 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.

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC6944123 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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

Zhang Yichong Y   Zhan Yuanbo Y   Kou Yuhui Y   Yin Xiaofeng X   Wang Yanhua Y   Zhang Dianying D  

PeerJ 20200103


<h4>Background</h4>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.<h4>Methods</h4>In this study, we used text mining to generate potential explanations for SCI-TBI-  ...[more]

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