ArticleHuman genomics2021
Screening of disease-related biomarkers related to neuropathic pain (NP) after spinal cord injury (SCI).
Article in Human genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- The etiological roles of miRNAs, lncRNAs, and circRNAs in neuropathic pain: A narrative review.Journal of clinical laboratory analysis · 2022Pooled it
- Biomarker Signatures in Time-Course Progression of Neuropathic Pain at Spinal Cord Level Based on Bioinformatics and Machine Learning Analysis.Biomolecules · 2025Article
- Progress in treatment of pathological neuropathic pain after spinal cord injury.Frontiers in neurology · 2024Review
- Transforming medicine: artificial intelligence integration in the peripheral nervous system.Frontiers in neurology · 2024Review
- Donor white blood cell differential is the single largest determinant of whole blood gene expression patterns.Genomics · 2023Article
- A DNA methylation signature in the stress driver gene Fkbp5 indicates a neuropathic component in chronic pain.Clinical epigenetics · 2023Article
- Biomarkers from Secondary Complications in Spinal Cord Injury.Current pharmacology reports · 2022Article
- The emerging power and promise of non-coding RNAs in chronic pain.Frontiers in molecular neuroscience · 2022Review
- Long Non-coding RNA LINC01119 Promotes Neuropathic Pain by Stabilizing BDNF Transcript.Frontiers in molecular neuroscience · 2021Article
- Roles of Long Non-coding RNAs in the Development of Chronic Pain.Frontiers in molecular neuroscience · 2021Review
- Spinal microRNA-134-5p targets glutamate receptor ionotropic kainate 3 to modulate opioid induced hyperalgesia in mice.Molecular painArticle
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBased on the molecular expression level, this paper compares lncRNA and mRNA expressions respectively in peripheral blood samples of the patients after SCI with NP and without NP, and screens disease-related biomarkers related to NP after SCI in peripheral blood samples of patients.
methodThe expression spectrum of 25 human peripheral blood samples (12 samples of refractory NP patients after SCI) was downloaded and data were normalized. Screening of GO annotations significantly associated with significant differentially expressed mRNAs and significant involvement of the KEGG pathway. The WGCNA algorithm was used to screen for modules and RNAs that were significantly associated with disease characterization. A co-expression network was constructed to extract the genes involved in the disease pathway from the co-expression network, construct a network of SCI pain-related pathways, and screen important disease-related biomarkers. Quantitative real-time PCR was used to detect the mRNA expression of hub genes.
resultsData were normalized and re-annotated by detection of platform information, resulting in a total of 289 lncRNA and 18197 mRNAs. Screening resulted in 338 significant differentially expressed RNAs that met the threshold requirements. Differentially expressed RNAs were significantly enriched with the brown and magenta modules. Six KEGG signaling pathways were screened in the co-expression network, and three KEGG pathways with direct neuropathic pain were identified. The expression levels of E2F1, MAX, MITF, CTNNA1, and ADORA2B in the disease group were all significantly upregulated (p < 0.01). Compared with the normal group, the expression of OXTR was upregulated.
conclusionWe speculate that there are 7 genes and 2 lncRNAs directly involved in the pain pathway: E2F1, MAX, MITF, CTNNA1, ADORA2B, GRIK3, OXTR, LINC01119, and LINC02447. These molecules may be important for NP after SCI.
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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 OpenQuestion graph.