ArticleFrontiers in endocrinology2022
Machine learning-based metabolism-related genes signature and immune infiltration landscape in diabetic nephropathy.
Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 13 citations in OpenAlex.
- Identification of diagnostic markers for diabetic kidney disease by weighted gene co‑expression network analysis and machine learning.International journal of molecular medicine · 2026Article
- Modulators of Diacylglycerol Kinase Activity: A Review of Advances and Challenges.Medicinal research reviews · 2026Review
- A non-invasive predictive model for identifying non-diabetic kidney disease in type 2 diabetes mellitus: development and multicenter validation.American journal of clinical and experimental urology · 2026Article
- Identification of key genes related to glutamine metabolism in diabetic nephropathy by machine learning methods.Scientific reports · 2025Article
- High glucose mediates diabetic peripheral neuropathy by inducing Schwann cells apoptosis through the Dgkh/PKC-α signaling pathway.Acta diabetologica · 2025Article
- Endocrinologists in golden age: opportunities enabled by artificial intelligence.Precision clinical medicine · 2025Article
- Identification of potential biomarkers for Lyme disease using bioinformatics and machine learning.Clinical and experimental medicine · 2025Article
- Blood-Based Whole-Genome Methylation Analysis of Yili Horses Pre- and Post-Racing.Animals : an open access journal from MDPI · 2025Article
- Crosstalk between ferroptosis and innate immune in diabetic kidney disease: mechanisms and therapeutic implications.Frontiers in immunology · 2025Review
- The advance of single cell transcriptome to study kidney immune cells in diabetic kidney disease.BMC nephrology · 2024Review
- VCAM1: an effective diagnostic marker related to immune cell infiltration in diabetic nephropathy.Frontiers in endocrinology · 2024Article
- The Role of Immune Cells in DKD: Mechanisms and Targeted Therapies.Journal of inflammation research · 2024Review
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: To identify the diagnostic biomarkers of metabolism-related genes (MRGs), and investigate the association of the MRGs and immune infiltration landscape in diabetic nephropathy (DN). Methods: The transcriptome matrix was downloaded from the GEO database. R package "limma" was utilized to identify the differential expressed MRGs (DE-MRGs) of HC and DN samples. Genetic Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of DE-MRGs were performed using "clusterProfiler" R package. WGCNA, LASSO, SVM-RFE, and RFE algorithms were employed to select the diagnostic feature biomarkers for DN. The ROC curve was used to evaluate discriminatory ability for diagnostic feature biomarkers. CIBERSORT algorithm was performed to investigate the fraction of the 22-types immune cells in HC and DN group. The correlation of diagnostic feature biomarkers and immune cells were performed Results: A total of 449 DE-MRGs were identified in this study. GO and KEGG pathway enrichment analysis indicated that the DE-MRGs were mainly enriched in small molecules catabolic process, purine metabolism, and carbon metabolism. Conclusion:
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