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Identification of autophagy-related genes in neuropathic pain through bioinformatic analysis

BACKGROUND: Neuropathic pain (NP) is one of the most common types of chronic pain and significantly compromises the quality of life. Autophagy is an intracellular catabolic process that is required to maintain cellular homeostasis in response to various stresses. The role of autophagy-related genes...

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Autores principales: Tian, Sheng, Wu, Lanxiang, Zheng, Heqing, Zhong, Xianhui, Yu, Xinping, Wu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976393/
https://www.ncbi.nlm.nih.gov/pubmed/36855217
http://dx.doi.org/10.1186/s41065-023-00269-w
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author Tian, Sheng
Wu, Lanxiang
Zheng, Heqing
Zhong, Xianhui
Yu, Xinping
Wu, Wei
author_facet Tian, Sheng
Wu, Lanxiang
Zheng, Heqing
Zhong, Xianhui
Yu, Xinping
Wu, Wei
author_sort Tian, Sheng
collection PubMed
description BACKGROUND: Neuropathic pain (NP) is one of the most common types of chronic pain and significantly compromises the quality of life. Autophagy is an intracellular catabolic process that is required to maintain cellular homeostasis in response to various stresses. The role of autophagy-related genes in the diagnosis and treatment of neuropathic pain remains unclear. METHODS: We identified autophagy-related differentially expressed genes (ARDEGs) and differentially expressed miRNAs (DE-miRNAs) in neuropathic pain by bioinformatics analysis of the GSE145226 and GSE145199 datasets. These ARDEGs and their co-expressed genes were subjected to Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, Gene Set Enrichment Analysis (GSEA) and friends analysis. Meanwhile, we constructed TFs-ARDEGs, miRNA-ARDEGs regulatory network through ChIPBase database and the HTFtarget database, multiMir R package. Finally, we performed immune infiltration analysis of ARDEGs by Single Sample Gene Set Enrichment Analysis (ssGSEA). RESULTS: We identified 2 potential autophagy-related differentially expressed genes (Sirt2 and ST7) that may be closely associated with the pathogenesis of neuropathic pain. GO, KEGG and GSEA analysis revealed that these two ARDEGs were mainly enriched in pyridine nucleotide metabolic process, nicotinamide nucleotide metabolic process, Nicotinate and nicotinamide metabolism, NF-κB pathway, KRAS signaling, P53 pathway. In the TFs-ARDEGs and miRNA-ARDEGs regulatory network, miR-140-5p and Cebpb were predicted to be as crucial regulators in the progression of NP. For the ssGSEA results, Sirt2 was positively correlated with Eosinophil and Effector memory CD8(+) T cell infiltration, which suggested that it may be involved in the regulation of neuroimmune-related signaling. CONCLUSION: Two autophagy-related differentially expressed genes, especially Sirt2, may be potential biomarkers for NP, providing more evidence about the crucial role of autophagy in neuropathic pain. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-023-00269-w.
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spelling pubmed-99763932023-03-02 Identification of autophagy-related genes in neuropathic pain through bioinformatic analysis Tian, Sheng Wu, Lanxiang Zheng, Heqing Zhong, Xianhui Yu, Xinping Wu, Wei Hereditas Research BACKGROUND: Neuropathic pain (NP) is one of the most common types of chronic pain and significantly compromises the quality of life. Autophagy is an intracellular catabolic process that is required to maintain cellular homeostasis in response to various stresses. The role of autophagy-related genes in the diagnosis and treatment of neuropathic pain remains unclear. METHODS: We identified autophagy-related differentially expressed genes (ARDEGs) and differentially expressed miRNAs (DE-miRNAs) in neuropathic pain by bioinformatics analysis of the GSE145226 and GSE145199 datasets. These ARDEGs and their co-expressed genes were subjected to Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, Gene Set Enrichment Analysis (GSEA) and friends analysis. Meanwhile, we constructed TFs-ARDEGs, miRNA-ARDEGs regulatory network through ChIPBase database and the HTFtarget database, multiMir R package. Finally, we performed immune infiltration analysis of ARDEGs by Single Sample Gene Set Enrichment Analysis (ssGSEA). RESULTS: We identified 2 potential autophagy-related differentially expressed genes (Sirt2 and ST7) that may be closely associated with the pathogenesis of neuropathic pain. GO, KEGG and GSEA analysis revealed that these two ARDEGs were mainly enriched in pyridine nucleotide metabolic process, nicotinamide nucleotide metabolic process, Nicotinate and nicotinamide metabolism, NF-κB pathway, KRAS signaling, P53 pathway. In the TFs-ARDEGs and miRNA-ARDEGs regulatory network, miR-140-5p and Cebpb were predicted to be as crucial regulators in the progression of NP. For the ssGSEA results, Sirt2 was positively correlated with Eosinophil and Effector memory CD8(+) T cell infiltration, which suggested that it may be involved in the regulation of neuroimmune-related signaling. CONCLUSION: Two autophagy-related differentially expressed genes, especially Sirt2, may be potential biomarkers for NP, providing more evidence about the crucial role of autophagy in neuropathic pain. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-023-00269-w. BioMed Central 2023-03-01 /pmc/articles/PMC9976393/ /pubmed/36855217 http://dx.doi.org/10.1186/s41065-023-00269-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Research
Tian, Sheng
Wu, Lanxiang
Zheng, Heqing
Zhong, Xianhui
Yu, Xinping
Wu, Wei
Identification of autophagy-related genes in neuropathic pain through bioinformatic analysis
title Identification of autophagy-related genes in neuropathic pain through bioinformatic analysis
title_full Identification of autophagy-related genes in neuropathic pain through bioinformatic analysis
title_fullStr Identification of autophagy-related genes in neuropathic pain through bioinformatic analysis
title_full_unstemmed Identification of autophagy-related genes in neuropathic pain through bioinformatic analysis
title_short Identification of autophagy-related genes in neuropathic pain through bioinformatic analysis
title_sort identification of autophagy-related genes in neuropathic pain through bioinformatic analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976393/
https://www.ncbi.nlm.nih.gov/pubmed/36855217
http://dx.doi.org/10.1186/s41065-023-00269-w
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