Comprehensive analysis of lumbar disc degeneration and autophagy-related candidate genes, pathways, and targeting drugs

Abstract Background Lumbar disc degeneration (LDD) is an essential pathological mechanism related to low back pain. Current research on spinal surgery focused on the sophisticated mechanisms involved in LDD, and autophagy was regarded as an essential factor in the pathogenesis. Objectives Our resear...

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Main Authors: Wei-long Xu, Yan Zhao
Format: Article
Language:English
Published: BMC 2021-04-01
Series:Journal of Orthopaedic Surgery and Research
Subjects:
Online Access:https://doi.org/10.1186/s13018-021-02417-2
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spelling doaj-b963cf2ec170430fb2f1702dcc2dd1d62021-04-18T11:29:18ZengBMCJournal of Orthopaedic Surgery and Research1749-799X2021-04-0116111210.1186/s13018-021-02417-2Comprehensive analysis of lumbar disc degeneration and autophagy-related candidate genes, pathways, and targeting drugsWei-long Xu0Yan Zhao1Inner Mongolia Medical UniversityDepartment of Thoracolumbar Spine Surgery, The Second Affiliated Hospital of Inner Mongolia Medical UniversityAbstract Background Lumbar disc degeneration (LDD) is an essential pathological mechanism related to low back pain. Current research on spinal surgery focused on the sophisticated mechanisms involved in LDD, and autophagy was regarded as an essential factor in the pathogenesis. Objectives Our research aimed to apply a bioinformatics approach to select some candidate genes and signaling pathways in relationship with autophagy and LDD and to figure out potential agents targeting autophagy- and LDD-related genes. Materials and methods Text mining was used to find autophagy- and LDD-related genes. The DAVID program was applied in Gene Ontology and pathway analysis after selecting these genes. Several important gene modules were obtained by establishing a network of protein-protein interaction and a functional enrichment analysis. Finally, the selected genes were searched in the drug database to find the agents that target LDD- and autophagy-related genes. Results There were 72 genes related to “autophagy” and “LDD.” Three significant gene modules (22 genes) were selected by using gene enrichment analysis, which represented 4 signaling pathways targeted by 32 kinds of drugs approved by the Food and Drug Administration (FDA). The interactions between drugs and the genes were also identified. Conclusion To conclude, a method was proposed in our research to find candidate genes, pathways, and drugs which were involved in autophagy and LDD. We discovered 22 genes, 4 pathways, and 32 potential agents, which provided a theoretical basis and new direction for clinical and basic research on LDD.https://doi.org/10.1186/s13018-021-02417-2Bioinformatics-based analysisTargeting drugAutophagyGeneLumbar disc degenerationPathway
collection DOAJ
language English
format Article
sources DOAJ
author Wei-long Xu
Yan Zhao
spellingShingle Wei-long Xu
Yan Zhao
Comprehensive analysis of lumbar disc degeneration and autophagy-related candidate genes, pathways, and targeting drugs
Journal of Orthopaedic Surgery and Research
Bioinformatics-based analysis
Targeting drug
Autophagy
Gene
Lumbar disc degeneration
Pathway
author_facet Wei-long Xu
Yan Zhao
author_sort Wei-long Xu
title Comprehensive analysis of lumbar disc degeneration and autophagy-related candidate genes, pathways, and targeting drugs
title_short Comprehensive analysis of lumbar disc degeneration and autophagy-related candidate genes, pathways, and targeting drugs
title_full Comprehensive analysis of lumbar disc degeneration and autophagy-related candidate genes, pathways, and targeting drugs
title_fullStr Comprehensive analysis of lumbar disc degeneration and autophagy-related candidate genes, pathways, and targeting drugs
title_full_unstemmed Comprehensive analysis of lumbar disc degeneration and autophagy-related candidate genes, pathways, and targeting drugs
title_sort comprehensive analysis of lumbar disc degeneration and autophagy-related candidate genes, pathways, and targeting drugs
publisher BMC
series Journal of Orthopaedic Surgery and Research
issn 1749-799X
publishDate 2021-04-01
description Abstract Background Lumbar disc degeneration (LDD) is an essential pathological mechanism related to low back pain. Current research on spinal surgery focused on the sophisticated mechanisms involved in LDD, and autophagy was regarded as an essential factor in the pathogenesis. Objectives Our research aimed to apply a bioinformatics approach to select some candidate genes and signaling pathways in relationship with autophagy and LDD and to figure out potential agents targeting autophagy- and LDD-related genes. Materials and methods Text mining was used to find autophagy- and LDD-related genes. The DAVID program was applied in Gene Ontology and pathway analysis after selecting these genes. Several important gene modules were obtained by establishing a network of protein-protein interaction and a functional enrichment analysis. Finally, the selected genes were searched in the drug database to find the agents that target LDD- and autophagy-related genes. Results There were 72 genes related to “autophagy” and “LDD.” Three significant gene modules (22 genes) were selected by using gene enrichment analysis, which represented 4 signaling pathways targeted by 32 kinds of drugs approved by the Food and Drug Administration (FDA). The interactions between drugs and the genes were also identified. Conclusion To conclude, a method was proposed in our research to find candidate genes, pathways, and drugs which were involved in autophagy and LDD. We discovered 22 genes, 4 pathways, and 32 potential agents, which provided a theoretical basis and new direction for clinical and basic research on LDD.
topic Bioinformatics-based analysis
Targeting drug
Autophagy
Gene
Lumbar disc degeneration
Pathway
url https://doi.org/10.1186/s13018-021-02417-2
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