ArticleDiabetes2011
Transcriptome analysis of human diabetic kidney disease.
Article in Diabetes, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 437 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
437 citing papers in PubMed, 2 syntheses or guidelines pooled it, 638 citations in OpenAlex.
- Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease.Nature communications · 2022Pooled it
- Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease.Diabetologia · 2022Pooled it
- Plasma proteome signatures of ASK1 inhibition by selonsertib associate with efficacy in the MOSAIC randomized trial for diabetic kidney disease.BMC nephrology · 2025Trial
- Integrative multi-omics Mendelian randomization reveals key lipid metabolism genes as therapeutic targets for diabetic nephropathy pathogenesis.Renal failure · 2026Article
- Integrative multi-omics analysis identifies VCAN and ESM1 as candidate cell-type-associated biomarkers of NET-related glomerular injury in diabetic kidney disease.Renal failure · 2026Article
- AI-assisted metabolomic profiling identifies candidate metabolites associated with diabetic kidney disease staging in a Korean cohort.iScience · 2026Article
- New insights into diagnostic values and mechanisms of ferroptosis associated with immune infiltration in diabetic kidney disease.Experimental and therapeutic medicine · 2026Article
- Article
- Glycated CD59: a novel biomarker for gestational diabetes.Endocrine reviews · 2026Review
- Integrated Multi-Tissue Omics Identifies Acylcarnitine Accumulation as Shared Metabolic Marker of Diabetic Microangiopathy With Cross-Organ Validation.Investigative ophthalmology & visual science · 2026Article
- Characterizing the Immune Cell Infiltration in Renal Interstitium and Therapeutic Targets of Drugs in Diabetic Nephropathy by Multiomics Study.Diabetes & metabolism journal · 2026Article
- Cross-Cohort, Renal Compartment-Aware Transcriptomic Assessment of Lycii Fructus-Annotated Targets in Diabetic Kidney Disease.Current issues in molecular biology · 2026Article
- Reappraising Kidney Biopsy in Diabetic Kidney Disease: Histopathology, Clinical Course, and the Future of Precision Nephrology.Journal of clinical medicine · 2026Review
- Uromodulin: A Novel Regulator of the Kidney-Adipose Axis in Diabetic Kidney Disease.International journal of molecular sciences · 2026Article
- A MEF2C transcription factor network regulates proliferation of glomerular endothelial cells in diabetic kidney disease.Kidney international · 2026Article
- Identification of diagnostic markers for diabetic kidney disease by weighted gene co‑expression network analysis and machine learning.International journal of molecular medicine · 2026Article
- FBP1 Is Associated with Attenuated Mitochondrial Injury in Renal Tubular Epithelial Cells of Diabetic Kidney Disease via Modulation of Lactate Metabolism.International journal of molecular sciences · 2026Article
- Molecular mechanisms and novel therapeutic targets of diabetic kidney disease.Chinese medical journal · 2026Review
- Blood DNA methylation markers are associated with diabetic kidney disease progression in type 1 diabetes.Diabetologia · 2026Article
- Renal fat fraction quantified by MRI-Dixon predicts the renal function progression in patients with type 2 diabetes mellitus: a prospective cohort study.Journal of endocrinological investigation · 2026Article
377 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
objectiveDiabetic kidney disease (DKD) is the single leading cause of kidney failure in the U.S., for which a cure has not yet been found. The aim of our study was to provide an unbiased catalog of gene-expression changes in human diabetic kidney biopsy samples. RESEARCH DESIGN AND
methodsAffymetrix expression arrays were used to identify differentially regulated transcripts in 44 microdissected human kidney samples. DKD samples were significant for their racial diversity and decreased glomerular filtration rate (~25-35 mL/min). Stringent statistical analysis, using the Benjamini-Hochberg corrected two-tailed t test, was used to identify differentially expressed transcripts in control and diseased glomeruli and tubuli. Two different web-based algorithms were used to define differentially regulated pathways.
resultsWe identified 1,700 differentially expressed probesets in DKD glomeruli and 1,831 in diabetic tubuli, and 330 probesets were commonly differentially expressed in both compartments. Pathway analysis highlighted the regulation of Ras homolog gene family member A, Cdc42, integrin, integrin-linked kinase, and vascular endothelial growth factor signaling in DKD glomeruli. The tubulointerstitial compartment showed strong enrichment for inflammation-related pathways. The canonical complement signaling pathway was determined to be statistically differentially regulated in both DKD glomeruli and tubuli and was associated with increased glomerulosclerosis even in a different set of DKD samples.
conclusionsOur studies have cataloged gene-expression regulation and identified multiple novel genes and pathways that may play a role in the pathogenesis of DKD or could serve as biomarkers.
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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.