Evidence map›Paper›PMID 41058260›Full record

ArticleBrain and behavior2025

Unraveling the Disease Mechanisms of Neuropathic Pain Through Constructing miRNA-mRNA Networks Based on a Rat Model.

Lingqi Yao, Ming Liu

Abstract read
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Lingqi YaoDepartment of Anesthesiology, The First People's Hospital of Xiaoshan District, Hangzhou, Zhejiang, China.
Ming LiuDepartment of Anesthesiology, The First People's Hospital of Xiaoshan District, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0009-0004-3268-0546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeuropathic pain (NP) lacks clear biomarkers and effective treatment methods. We aimed to identify important genes and microRNA (miRNA)-messenger RNA (mRNA) regulatory network in NP to elucidate the underlying mechanism of NP using bioinformatics analysis combined with an animal model.

methodsTwo NP-related gene expression datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between NP and controls were identified using the limma package. Protein-protein interaction (PPI) and miRNA-mRNA-disease networks were constructed to investigate the interactions among genes and miRNAs. Kyoto Encyclopedia of Genes and Genomes (KEGG) was performed to investigate the biological functions of DEGs in NP. Additionally, to further confirm the expression and the functions of hub genes, a chronic constriction injury (CCI) NP rat model was established, and C1qb knockdown treatment was performed by transfection of sh-C1qb.

resultsA total of 108 common DEGs (94 upregulated and 14 downregulated) were identified related to the pathogenesis of NP. Five hub genes (Ptprc, C1qb, Aif1, Fcgr2b, and Ccl2) were selected in the PPI network. KEGG analyses unveiled that the five hub genes were primarily involved in immune regulation and neuroinflammation especially NF-κB signaling pathway. miRNA-mRNA-disease network analysis revealed 160 miRNAs associated with the five hub genes, and 25 miRNAs (including miR-124-3p, miR-128-3p, and miR-369-3p) were regulated to Ptprc, C1qb, Fcgr2b, and Ccl2 in NP. Moreover, the expressions of Aif1, Ptprc, C1qb, Fcgr2b, and Ccl2 were increased in blood, spinal cord, dorsal root ganglia, and prefrontal cortex in NP rats compared to sham rats. C1qb knockdown alleviated the rat NP and inhibited the NF-κB signaling pathway.

conclusionFour hub genes (Ptprc, C1qb, Fcgr2b, and Ccl2) may be potential biomarkers in NP pathogenesis, offering insights into its molecular mechanisms and suggesting therapeutic targets. C1qb knockdown is demonstrated to alleviate the NP progression through the NF-κB signaling pathway.

Indexed as

Gene Regulatory NetworksMicroRNAsNeuralgiaRNA, MessengerAnimalsComputational BiologyDisease Models, AnimalMaleProtein Interaction MapsRatsRats, Sprague-DawleyMicroRNAsRNA, Messengerbioinformatics, biomarkers, differential expression, microRNA‐messenger RNA (mRNA), neurogenic pain

Identifiers

PMID41058260
PMCPMC12504813

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.