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pmid:38957040

Identification and validation of miR-29b-3p and LIN7A as important diagnostic markers for bone non-union by WGCNA.

Guojian Jian · Desheng Xie · Ximu Kuang · Peihuang Zheng · Haoyuan Liu · Xuehong Dong

Journal of cellular and molecular medicine · 2024 doi:10.1111/jcmm.18522

Paper

complete

Experiment

complete

Data

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Analysis

partial

Execution

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title
Identification and validation of miR-29b-3p and LIN7A as important diagnostic markers for bone non-union by WGCNA.
doi
10.1111/jcmm.18522
pmid
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[0]
Guojian Jian
[1]
Desheng Xie
[2]
Ximu Kuang
[3]
Peihuang Zheng
[4]
Haoyuan Liu
[5]
Xuehong Dong
journal
Journal of cellular and molecular medicine
year
2024
abstract
Bone non-union is a common fracture complication that can severely impact patient outcomes, yet its mechanism is not fully understood. This study used differential analysis and weighted co-expression network analysis (WGCNA) to identify susceptibility modules and hub genes associated with fracture healing. Two datasets, GSE125289 and GSE213891, were downloaded from the GEO website, and differentially expressed miRNAs and genes were analysed and used to construct the WGCNA network. Gene ontology (GO) analysis of the differentially expressed genes showed enrichment in cytokine and inflammatory factor secretion, phagocytosis, and trans-Golgi network regulation pathways. Using bioinformatic site prediction and crossover gene search, miR-29b-3p was identified as a regulator of LIN7A expression that may negatively affect fracture healing. Potential miRNA-mRNA interactions in the bone non-union mechanism were explored, and miRNA-29-3p and LIN7A were identified as biomarkers of skeletal non-union. The expression of miRNA-29b-3p and LIN7A was verified in blood samples from patients with fracture non-union using qRT-PCR and ELISA. Overall, this study identified characteristic modules and key genes associated with fracture non-union and provided insight into its molecular mechanisms. Downregulated miRNA-29b-3p was found to downregulate LIN7A protein expression, which may affect the healing process after fracture in patients with bone non-union. These findings may serve as a prognostic biomarker and potential therapeutic target for bone non-union.
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In this study, we used the “limma” package in R for data quality control, processing and statistical analysis. 27
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The data that supports the findings of this study are available in the supplementary material of this article. The data that support the findings of this study are available from the corresponding author upon reasonable request. The data that support the findings of this study are openly available in [repository name e.g “figshare”] at http://doi.org/[doi], reference number [10.1111/jcmm.18522.]
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By analysing the GSE213891 matrix, we identified 54 genes associated with bone non‐union (Figure 2A).
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