ArticleScientific reports2023
Identification of diagnostic biomarks and immune cell infiltration in ulcerative colitis.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 21 citations in OpenAlex.
- Dysregulation of the KLF9/TXNRD2 Axis Leads to Mitochondrial DNA Oxidation and NLRP3 Inflammasome Activation in Ulcerative Colitis.Journal of biochemical and molecular toxicology · 2026Article
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- Non-invasive determination of disease activity in Crohn's disease by serum luminex profiling.Scientific reports · 2026Article
- Identification of Inflammation-Related Diagnostic Biomarker and Molecular Subtypes in Ulcerative Colitis Based on Machine Learning.Digestive diseases and sciences · 2026Article
- Integrative Machine Learning and Single-Cell RNA Sequencing Reveals Timp1+ Stromal Cells as Key Drivers in Ulcerative Colitis.Journal of inflammation research · 2026Article
- Microarray Data Analysis of Gene Crosstalk Between Psoriasis and Non-Alcoholic Fatty Liver Disease.Clinical, cosmetic and investigational dermatology · 2026Article
- Identifying the anti-infection NK and T cell subgroups in preterm newborns with sepsis using single-cell RNA-seq analysis.European journal of medical research · 2025Article
- Artificial intelligence use for precision medicine in inflammatory bowel disease: a systematic review.American journal of translational research · 2025Review
- 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
- Advances in Inflammatory Bowel Disease Diagnostics: Machine Learning and Genomic Profiling Reveal Key Biomarkers for Early Detection.Diagnostics (Basel, Switzerland) · 2024Article
- Identification of Diagnosis and Typological Characteristics Associated with Ferroptosis for Ulcerative ColitisEndocrine, metabolic & immune disorders drug targets · 2024Article
- Artificial intelligence and machine learning technologies in ulcerative colitis.Therapeutic advances in gastroenterology · 2024Review
- Transcriptional-profile changes in the medial geniculate body after noise-induced tinnitus.Experimental biology and medicine (Maywood, N.J.) · 2024Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to explore diagnostic biomarks and immune cell infiltration characteristics in ulcerative colitis (UC). We used the dataset GSE38713 as the training set and dataset GSE94648 as the test set. A total of 402 differentially expressed genes (DEGs) were obtained from GSE38713. Annotating, visualizing, and integrating discovery of these differential genes was performed using Gene Ontology (GO), Kyoto Gene and Genome Encyclopedia Pathway (KEGG), and Gene Set Enrichment Analysis (GSEA). Protein-protein interaction networks were constructed from the STRING database, and protein functional modules were identified using the CytoHubba plugin of Cytoscape. Random forest and LASSO regression were used to screen for UC-related diagnostic markers, and ROC curves were generated to validate their diagnostic value. The composition of 22 immune cells was analyzed, and the immune cell infiltration in UC was analyzed using CIBERSORT. Results: Seven diagnostic markers associated with UC were identified: TLCD3A, KLF9, EFNA1, NAAA,WDR4, CKAP4, and CHRNA1. Immune cell infiltration assessment revealed that macrophages M1, activated dendritic cells, and neutrophil cells infiltrated relatively more compared to normal control samples. Our results suggest a new functional feature of UC and suggest potential biomarkers for UC through comprehensive analysis of integrated gene expression data.
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