ArticleFrontiers in cell and developmental biology2022
Immune cell infiltration and the genes associated with ligamentum flavum hypertrophy: Identification and validation.
Article in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Machine learning-based integration identifies a 10-gene predictive signature and its classification patterns in schizophrenia.European archives of psychiatry and clinical neuroscience · 2026Article
- The Main Immune Markers of Ligamentum Flavum Hypertrophy: A Narrative Literature Review.International journal of molecular sciences · 2026Review
- Article
- Machine learning-based predictive models and subtypes patterns in peripheral blood of schizophrenia based on a machine learning computational framework.Schizophrenia (Heidelberg, Germany) · 2026Article
- Identification of hub genes contributing to acute eczema using transcriptome sequencing and machine-learning approaches.BMC medical genomics · 2025Article
- Identification and analysis of metabolic reprogramming-related genes in triple-negative breast cancer.Clinical and experimental medicine · 2025Article
- Identification of ferroptosis-related key genes in tuberculosis by bioinformatics methods.AMB Express · 2025Article
- Comprehensive analysis and validation of autophagy-related gene in rheumatoid arthritis.Frontiers in cell and developmental biology · 2025Article
- Article
- Cellular and Molecular Mechanisms of Hypertrophy of Ligamentum Flavum.Biomolecules · 2024Review
- Experimental confirmation and bioinformatics reveal biomarkers of immune system infiltration and hypertrophy ligamentum flavum.JOR spine · 2024Article
- Machine learning-based integration identifies the ferroptosis hub genes in nonalcoholic steatohepatitis.Lipids in health and disease · 2024Article
- Innovative surgical and stress-stimulated rat model of ligamentum flavum hypertrophy.Frontiers in veterinary science · 2024Article
- Integrated Bioinformatics Analysis for Revealing CBL is a Potential Diagnosing Biomarker and Related Immune Infiltration in Parkinson's Disease.International journal of general medicine · 2024Article
- Profibrotic role of transcription factor SP1 in cross-talk between fibroblasts and M2 macrophages.iScience · 2023Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ligamentum flavum hypertrophy (LFH) is a common cause of spinal stenosis. The aim of the current study was to identify the differentially expressed genes (DEGs) in LFH and the molecular mechanisms underlying the development of and immune responses to LFH. The gene expression omnibus (GEO) database was used to obtain the GSE113212 dataset, and the DEGs were derived from microarray data. To identify critical genes and signaling pathways, gene ontology enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment, and protein-protein interaction (PPI) network analyses were performed, followed by immune cell infiltration and Friends analyses using the retrieved datasets. The results were validated using quantitative real-time PCR. The 1530 DEGs identified comprised 971 upregulated and 559 downregulated genes. KEGG analysis revealed that DEGs were mostly enriched in the PI3K-Akt signaling pathway, while PPI network analysis identified tumor necrosis factor, interleukin (IL)-6, IL-10, epidermal growth factor receptor, and leptin as important nodes, which was validated by qPCR and IHC in human LFH tissues
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