ArticleKidney international2018
Molecular, histological, and clinical phenotyping of diabetic nephropathy: valuable complementary information?
Article in Kidney international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
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Who cites it
7 citing papers in PubMed.
- Decoding the hypoxic injury landscape and hypoxic risk model construction in diabetic kidney disease: a multi-omics study.Frontiers in bioinformatics · 2026Article
- Compatibility of Calycosin-Tanshinone IIA improves Ang II-induced renal artery endothelial cell dysfunction through lncRNA-mRNA co-expression network.In vitro cellular & developmental biology. Animal · 2025Article
- Berberine protects diabetic nephropathy by suppressing epithelial-to-mesenchymal transition involving the inactivation of the NLRP3 inflammasome.Renal failure · 2022Article
- Salivary Glycopatterns as Potential Non-Invasive Biomarkers for Diagnosing and Reflecting Severity and Prognosis of Diabetic Nephropathy.Frontiers in endocrinology · 2022Article
- Review
- Berberine ameliorates renal impairment and inhibits podocyte dysfunction by targeting the phosphatidylinositol 3-kinase-protein kinase B pathway in diabetic rats.Journal of diabetes investigation · 2020Article
- Tangshen Formula Attenuates Diabetic Nephropathy by Promoting ABCA1-Mediated Renal Cholesterol Efflux in db/db Mice.Frontiers in physiology · 2018Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The incidence and prevalence of diabetic kidney disease is increasing. Observational and interventional studies suggest that the pathophysiology varies between individuals and within a patient over time. There is a huge clinical need to describe the molecular processes that modulate diabetic kidney disease. "Omics" experiments combined with bioinformatical analysis tools might allow for profiling of patients on an individual or at least group level to improve prediction of prognosis and guide targeted therapy.
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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.