ArticleFrontiers in immunology2021
Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis 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
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Transcriptomic Approach in Understanding Fabry Nephropathy: A Review of the Literature and Proof-of-Concept.Genes · 2025Pooled it
- Distinct immunometabolic signatures in peripheral blood mononuclear cells are linked to systemic inflammation in type 2 diabetes and diabetic kidney disease.Molecular biomedicine · 2026Article
- Targeting PSAT1 in diabetic kidney disease: a ferroptosis-driven strategy for precision therapy.Molecular and cellular biochemistry · 2026Article
- Article
- RasGRP4 Exacerbates Diabetic Kidney Fibrosis via Aloxe3-Mediated Oxidative Stress and Scar-Associated Macrophage Activation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- Article
- Identification of key genes in diabetic nephropathy based on lipid metabolism.Experimental and therapeutic medicine · 2024Article
- Integrative Analysis by Mendelian Randomization and Large-Scale Single-Cell Transcriptomics Reveals Causal Links between B Cell Subtypes and Diabetic Kidney Disease.Kidney diseases (Basel, Switzerland) · 2024Article
- Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis.BioData mining · 2024Article
- The Role of Immune Cells in DKD: Mechanisms and Targeted Therapies.Journal of inflammation research · 2024Review
- Article
- Seven basement membrane-specific expressed genes are considered potential biomarkers for the diagnosis and treatment of diabetic nephropathy.Acta diabetologica · 2023Article
- Identification of Genes Associated with Decreasing Abundance of Monocytes in Long-Term Peritoneal Dialysis Patients.International journal of general medicine · 2023Article
- From Diabetic Nephropathy to End-Stage Renal Disease: The Effect of Chemokines on the Immune System.Journal of diabetes research · 2023Article
- REG1A and RUNX3 Are Potential Biomarkers for Predicting the Risk of Diabetic Kidney Disease.Frontiers in endocrinology · 2022Article
- A Glimpse of Inflammation and Anti-Inflammation Therapy in Diabetic Kidney Disease.Frontiers in physiology · 2022Review
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 2 institutions in 1 country.
Funding
Abstract
Diabetic kidney disease (DKD) is a key microvascular complication of diabetes, with few therapies for targeting renal disease pathogenesis and progression. We performed transcriptional and protein studies on 103 unique blood and kidney tissue samples from patients with and without diabetes to understand the pathophysiology of DKD injury and its progression. The study was based on the use of 3 unique patient cohorts: peripheral blood mononuclear cell (PBMC) transcriptional studies were conducted on 30 patients with DKD with advancing kidney injury; Gene Expression Omnibus (GEO) data was downloaded, containing transcriptional measures from 51 microdissected glomerulous from patients with DKD. Additionally, 12 independent kidney tissue sections from patients with or without DKD were used for validation of target genes in diabetic kidney injury by kidney tissue immunohistochemistry and immunofluorescence. PBMC DKD transcriptional analysis, identified 853 genes (p < 0.05) with increasing expression with progression of albuminuria and kidney injury in patients with diabetes. GEO data was downloaded, normalized, and analyzed for significantly changed genes. Of the 325 significantly up regulated genes in DKD glomerulous (p < 0.05), 28 overlapped in PBMC and diabetic kidney, with perturbed FcER1 signaling as a significantly enriched canonical pathway.
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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 Socratic graph.