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Screening of disease-related biomarkers related to neuropathic pain (NP) after spinal cord injury (SCI)
BACKGROUND: Based 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. METH...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7831171/ https://www.ncbi.nlm.nih.gov/pubmed/33494823 http://dx.doi.org/10.1186/s40246-021-00303-w |
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author | Zhao, Jia Yang, Li Huang, Limin Li, Zinan |
author_facet | Zhao, Jia Yang, Li Huang, Limin Li, Zinan |
author_sort | Zhao, Jia |
collection | PubMed |
description | BACKGROUND: Based 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. METHOD: The 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. RESULTS: Data 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. CONCLUSION: We 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-021-00303-w. |
format | Online Article Text |
id | pubmed-7831171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78311712021-01-26 Screening of disease-related biomarkers related to neuropathic pain (NP) after spinal cord injury (SCI) Zhao, Jia Yang, Li Huang, Limin Li, Zinan Hum Genomics Primary Research BACKGROUND: Based 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. METHOD: The 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. RESULTS: Data 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. CONCLUSION: We 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-021-00303-w. BioMed Central 2021-01-25 /pmc/articles/PMC7831171/ /pubmed/33494823 http://dx.doi.org/10.1186/s40246-021-00303-w Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Primary Research Zhao, Jia Yang, Li Huang, Limin Li, Zinan Screening of disease-related biomarkers related to neuropathic pain (NP) after spinal cord injury (SCI) |
title | Screening of disease-related biomarkers related to neuropathic pain (NP) after spinal cord injury (SCI) |
title_full | Screening of disease-related biomarkers related to neuropathic pain (NP) after spinal cord injury (SCI) |
title_fullStr | Screening of disease-related biomarkers related to neuropathic pain (NP) after spinal cord injury (SCI) |
title_full_unstemmed | Screening of disease-related biomarkers related to neuropathic pain (NP) after spinal cord injury (SCI) |
title_short | Screening of disease-related biomarkers related to neuropathic pain (NP) after spinal cord injury (SCI) |
title_sort | screening of disease-related biomarkers related to neuropathic pain (np) after spinal cord injury (sci) |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7831171/ https://www.ncbi.nlm.nih.gov/pubmed/33494823 http://dx.doi.org/10.1186/s40246-021-00303-w |
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