Back to search

Article

Artificial intelligence empowered integration of Palmitoylation and NK cells signatures in diagnostic and therapeutic repurposing framework identification for diabetic nephropathy patients

2026-02-09

Abstract excerpt

<title>Abstract</title> <p> Objective To investigate the impact of palmitoylation and natural killer (NK) cell regulation on diabetic nephropathy (DN) progression, and to construct a diagnostic and drug-repurposing framework by integrating these features. Methods We analyzed three DN glomerular transcriptomic datasets using bioinformatics tools (Limma, WGCNA, ssGSEA) and three machine learning algorithms (Rand...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
102b5aed-ef29-5384-a4a3-2f8d5e9067f9
DOI
10.21203/rs.3.rs-8750903/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Artificial intelligence empowered integration of Palmitoylation and NK cells signatures in diagnostic and therapeutic repurposing framework identification for diabetic nephropathy patientsDOI 10.21203/rs.3.rs-8750903/v1
Identifying Aging-Related Biomarkers and Immune Infiltration Features in Diabetic Nephropathy Using Integrative Bioinformatics Approaches and Machine-Learning StrategiesSemantic proximity
Identification of immune microenvironment and PANoptosis-related biomarkers in diabetic kidney disease: PSMB8 and PSMB9Semantic proximity
Identification and validation of immune and cuproptosis - related genes for diabetic nephropathy by WGCNA and machine learningSemantic proximity
Combining Network Toxicology with Machine Learning and Experiment Validation to Analyze the Molecular Mechanism and Core Target Screening of Aristolochic Acid NephropathySemantic proximity
Integrated Profiling Identifies Key Molecule Drivers as Diagnostic Biomarkers and Therapeutic Targets in Acute Kidney InjurySemantic proximity
Identification of a novel immune landscape signature as effective diagnostic markers related to immune cell infiltration in diabetic nephropathySemantic proximity
Integrated Analysis of Single-Cell RNA-Seq and Bulk RNA-Seq Combined with Multiple Machine Learning Identified a Novel Immune Signature in Diabetic NephropathySemantic proximity
Discovering a trans-omics biomarker signature that predisposes high risk diabetic patients to diabetic kidney diseaseSemantic proximity
SLC10A2 has prognostic implications for individuals afflicted with diabetic pancreatic cancer, and its associated molecules have the potential to serve as biomarkers for diabetic nephropathySemantic proximity
Multi-Omics and Experimental Validation Reveal the Targets and Mechanisms of Urolithin A in diabetic kidney diseaseSemantic proximity
Construction of a PANoptosis-Related Gene Signature for Diabetic NephropathySemantic proximity
Identification of diagnostic biomarkers for diabetes nephropathy by multi-chip integrated bioinformatics combining machine-learning strategies and mendelian randomizationSemantic proximity
Select a neighboring publication to make it the new centre.