ArticleFrontiers in immunology2024
Identification and validation of immune and cuproptosis - related genes for diabetic nephropathy by WGCNA and machine learning.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Approach to Studies on Podocyte Lesions Mediated by Hyperglycemia: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- CD180-Associated B-Cell Alterations in Type 1 Diabetes and the In Vitro Effects of Chlorogenic Acid: An Integrated Transcriptomic and Experimental Study.International journal of molecular sciences · 2026Article
- Effects of cuproptosis and its application in inflammatory bowel disease (Review).International journal of molecular medicine · 2026Review
- Copper Metabolism-Related Cell Death in Kidney Diseases: Molecular Mechanisms, Disease-Specific Evidence, and Translational Implications.International journal of molecular sciences · 2026Review
- Risk stratification in diabetic kidney disease: a review of prediction models for methodological advances and clinical application.Journal of translational medicine · 2026Review
- Cuproptosis: Biomarkers, Mechanisms and Treatments in Diseases.Molecules (Basel, Switzerland) · 2026Review
- Inflammation and Diabetic Kidney Disease.International journal of molecular sciences · 2026Review
- Chronic hindlimb ischemia exacerbates ischemic stroke by disrupting cerebral hemodynamics and glycerophospholipid metabolism in mice.Scientific reports · 2026Article
- Computational discovery ofFrontiers in immunology · 2026Article
- Identification of candidate selenium-associated transcriptomic biomarkers in chronic obstructive pulmonary disease: an integrated bioinformatics and expression validation study.Frontiers in medicine · 2026Article
- Development and Validation of a Cuproptosis-Based Risk Score Model for Predicting Neoadjuvant Chemotherapy Response in Breast Cancer: A Transcriptomic Analysis.The breast journal · 2026Article
- Identification of lactylation and its hub genes in contributing immune activation and renal allograft fibrosis by integrative bioinformatics and machine learning.Frontiers in immunology · 2026Article
- Unveiling the immune microenvironment in diabetic nephropathy: from mechanisms to therapeutics.Frontiers in immunology · 2026Review
- Exploring the mechanism of Yi Qi Huo Xue compound prescription in treating chronic heart failure based on integrated network pharmacology and transcriptomics.Frontiers in cardiovascular medicine · 2026Article
- Diabetic neuropathy's immune-metabolic network: mechanistic complexity, therapeutic challenges, and the path forward.Frontiers in immunology · 2026Review
- Long Noncoding RNA MIR205HG Elevates FSTL1 Expression to Drive Calcium Oxalate Nephrolithiasis in vitro through Absorbing miR-5581-3p.Kidney & blood pressure research · 2026Article
- Serum uric acid to high‑density lipoprotein cholesterol ratio as a novel predictor of diabetic nephropathy: a cross‑sectional analysis of NHANES 2011-2018.Clinical and experimental medicine · 2025Article
- SETD7 exacerbates diabetic nephropathy through activating ACell & bioscience · 2025Article
- Integrated bulk and single-cell transcriptomics identify RELB, S100A9, and SOCS1 as key autophagy-endoplasmic reticulum stress genes linking T2DM with MAFLD.Scientific reports · 2025Article
- Integrating UHPLC-QE-MS and Bioinformatics with Experimental Validation Reveals MAPK/FOS-Mediated Podocyte Apoptosis as the Key Mechanism ofPharmaceuticals (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: As the leading cause of chronic kidney disease, diabetic kidney disease (DKD) is an enormous burden for all healthcare systems around the world. However, its early diagnosis has no effective methods. Methods: First, gene expression data in GEO database were extracted, and the differential genes of diabetic tubulopathy were obtained. Immune-related genesets were generated by WGCNA and immune cell infiltration analyses. Then, differentially expressed immune-related cuproptosis genes (DEICGs) were derived by the intersection of differential genes and genes related to cuproptosis and immune. To investigate the functions of DEICGs, volcano plots and GO term enrichment analysis was performed. Machine learning and protein-protein interaction (PPI) network analysis helped to finally screen out hub genes. The diagnostic efficacy of them was evaluated by GSEA analysis, receiver operating characteristic (ROC) curve, single-cell RNA sequencing and the Nephroseq website. The expression of hub genes at the animal level by STZ -induced and db/db DKD mouse models was further verified. Results: Finally, three hub genes, including Conclusion: Machine learning was combined with WGCNA, immune cell infiltration and PPI analyses to identify three hub genes associated with cuproptosis, immunity and diabetic nephropathy, which all have great potential as diagnostic markers for DKD and even predict disease progression.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.