Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Immune repertoire and evolutionary trajectory analysis in the development of diabetic nephropathy

23 Sept 2022

Abstract excerpt

Diabetic nephropathy (DN) is the leading cause of death and the greatest risk to the lives of people with advanced diabetes. Yet, the molecular mechanisms underlying its development and progression remain unknown. In this research, we studied the primary pathways driving DN using transcriptome sequencing and immune repertoire analysis. Firstly, we found that the diversity and abundance of the immune repertoire in...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Atherosclerosis and Cardiovascular Diseases
Share to Chronic Kidney Disease and Diabetes
Share to Renal Diseases and Glomerulopathies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36211355
DOI: 10.3389/fimmu.2022.1006137

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Immune repertoire and evolutionary trajectory analysis in the development of diabetic nephropathyPMID 36211355Read ↗

Single-cell transcriptomes reveal a molecular link between diabetic kidney and retinal lesionsSemantic proximity Read ↗

Single-cell RNA and transcriptome sequencing profiles identify immune-associated key genes in the development of diabetic kidney diseaseSemantic proximity Read ↗

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 Read ↗

Identification of Biomarkers Associated with Diagnosis of Diabetic Nephropathy Patients Based on Bioinformatics and Machine LearningSemantic proximity Read ↗

Comparison of Kidney Transcriptomic Profiles of Early and Advanced Diabetic Nephropathy Reveals Potential New Mechanisms for Disease ProgressionSemantic proximity Read ↗

Identification of metabolic reprogramming-related genes as potential diagnostic biomarkers for diabetic nephropathy based on bioinformaticsSemantic proximity Read ↗

The immune-inflammation factor is associated with diabetic nephropathy: evidence from NHANES 2013–2018 and GEO databaseSemantic proximity Read ↗

Single-Cell RNA Sequencing Profiles Identify Important Pathophysiologic Factors in the Progression of Diabetic NephropathySemantic proximity Read ↗

Bioinformatics analysis identifies immune-related gene signatures and subtypes in diabetic nephropathySemantic proximity Read ↗

Machine learning-based metabolism-related genes signature and immune infiltration landscape in diabetic nephropathySemantic proximity Read ↗

Identification and validation of immune-related biomarkers and potential regulators and therapeutic targets for diabetic kidney diseaseSemantic proximity Read ↗

Identification and validation of disulfidptosis-related gene signatures and their subtype in diabetic nephropathySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.