ArticleKidney international2017
Identification of a protective proteomic signature and a potential therapeutic target in diabetic nephropathy.
Article in Kidney international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Glycolytic lactylation modulates cell death decisions in diabetic kidney disease: Metabolic‑epigenetic interplay between ferroptosis and autophagy in fibrotic remodeling (Review).International journal of molecular medicine · 2026Review
- Molecular Pathways of Diabetic Kidney Disease Inferred from Proteomics.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In a recent paper in Nature Medicine, Qi et al. set out to identify protective pathways in patients with longstanding diabetes who do not develop diabetic nephropathy. Unbiased proteomic analysis of kidney tissue identified a unique protein signature in unaffected individuals. Studies in vitro and in murine models identified the highly upregulated glycolytic enzyme pyruvate kinase M2 as a potential therapeutic target to prevent or treat diabetic nephropathy.
Indexed as
Identifiers
28938946What OpenQuestion holds
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.