ArticleFrontiers in immunology2023
Identifying immune cell infiltration and effective diagnostic biomarkers in Crohn's disease by bioinformatics analysis.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 21 citations in OpenAlex.
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- Barbaloin Alleviates Lung Ischemia-Reperfusion Injury by Dual-Targeting IL-6 and PNP.International journal of molecular sciences · 2026Article
- Generative AI-augmented transcriptomic and microbiome analysis across inflammatory and fibrotic disease states in Crohn's disease.Frontiers in artificial intelligence · 2026Article
- Identification of potential biomarkers related to the Bitong mixture in osteoarthritis based on bioinformatics and network pharmacology, and exploration of the mechanism involved.Frontiers in immunology · 2026Article
- Identification of Crohn's disease-associated molecular signatures by integrative bioinformatics analysis and experimental validation.Frontiers in immunology · 2026Article
- Integrated Multiomics Elucidates Molecular Mechanisms of Bisphenol A in Exacerbating Crohn's Disease.Mediators of inflammation · 2026Article
- Genomic analysis unlocks the potential of denosumab as a targeted therapy for Crohn's disease.Scientific reports · 2025Article
- Diagnostic and prognostic significance of Super-enhancer-associated genes in Crohn's disease and immune regulatory roles.European journal of medical research · 2025Article
- Identification of ubiquitination-related key biomarkers and immune infiltration in Crohn's disease by bioinformatics analysis and machine learning.Scientific reports · 2025Article
- Single-Cell RNA Sequencing Reveals Cellular Heterogeneity and Microenvironmental Remodeling in Human Ureteral Scar Stricture Tissue.Journal of inflammation research · 2025Article
- Validation of Biomarkers and Immunotherapy With Crohn's Disease Using WGCNA and Two-Sample Mendelian Randomization Study.Gastroenterology research and practice · 2025Article
- Identification of Ifitm1 as a Pivotal Gene in Mouse Spinal Cord Injury Using Comprehensive Machine Learning Algorithms.Mediators of inflammation · 2025Article
- Multiomics Integration and Machine Learning Reveal Colony Stimulating Factor 3 Receptor as a Key Gene and Therapeutic Target in Crohn's Disease.Mediators of inflammation · 2025Article
- Exploring the mechanisms of chronic obstructive pulmonary disease and Crohn's disease: a bioinformatics-based study.Scientific reports · 2024Article
- Microprotein-encoding RNA regulation in cells treated with pro-inflammatory and pro-fibrotic stimuli.BMC genomics · 2024Article
- Food-Protein-Induced Proctocolitis in Pre-Term Newborns with Bloody Stools in a Neonatal Intensive Care Unit.Nutrients · 2024Article
- Key Disease-Related Genes and Immune Cell Infiltration Landscape in Inflammatory Bowel Disease: A Bioinformatics Investigation.International journal of molecular sciences · 2024Article
- Intestinal strictures in Crohn's disease: An update from 2023.United European gastroenterology journal · 2024Review
- FPR1, as a Potential Biomarker of Diagnosis and Infliximab Therapy Responses for Crohn's Disease, is Related to Disease Activity, Inflammation and Macrophage Polarization.Journal of inflammation research · 2024Article
- Dendritic cells: the yin and yang in disease progression.Frontiers in immunology · 2023Review
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Crohn's disease (CD) has an increasing incidence and prevalence worldwide. It is currently believed that both the onset and progression of the disease are closely related to immune system imbalance and the infiltration of immune cells. The aim of this study was to investigate the molecular immune mechanisms associated with CD and its fibrosis through bioinformatics analysis. Methods: Three datasets from the Gene Expression Omnibus data base (GEO) were downloaded for data analysis and validation. Single sample gene enrichment analysis (ssGSEA) was used to evaluate the infiltration of immune cells in CD samples. Immune cell types with significant differences were identified by Wilcoxon test and Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis. Differentially expressed genes (DEGs) were screened and then subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional correlation analysis, as well as protein-protein interaction (PPI) network analysis. The cytoHubba program and the GSE75214 dataset were used to screen for hub genes and plot Receiver operating characteristic (ROC)curves to screen for possible biomarkers of CD based on diagnostic efficacy. The hub genes of CD were correlated with five significantly different immune cells. In addition, validation was performed by real time quantitative PCR (RT-qPCR) experiments in colonic tissue of CD intestinal fibrosis rats to further identify hub genes that are more related to CD intestinal fibrosis. Results: The DEGs were analyzed separately by 10 algorithms and narrowed down to 9 DEGs after taking the intersection. 4 hub genes were further screened by the GSE75214 validation set, namely COL1A1, CXCL10, MMP2 and FGF2. COL1A1 has the highest specificity and sensitivity for the diagnosis of CD and is considered to have the potential to diagnose CD. Five immune cells with significant differences were screened between CD and health controls (HC). Through the correlation analysis between five kinds of immune cells and four biomarkers, it was found that CXCL10 was positively correlated with activated dendritic cells, effector memory CD8 Conclusion: MMP2, COL1A1, CXCL10 and FGF2 can be used as hub genes for CD. Among them, COL1A1 can be used as a biomarker for the diagnosis of CD. MMP2 and CXCL10 may be involved in the development and progression of CD by regulating activated dendritic cell, effector memory CD8
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