Evidence mapPaperPMID 40468401Full record

ReviewDiabetology & metabolic syndrome2025

Decoding diabetic kidney disease: a comprehensive review of interconnected pathways, molecular mediators, and therapeutic insights.

Esienanwan Esien Efiong, Kathrin Maedler, Emmanuel Effa, Uchechukwu Levi Osuagwu, Esther Peters, Joshua Onyeka Ikebiuro, Chisom Soremekun, Ugwunna Ihediwa, Jiefei Niu, Markéta Fuchs and 9 more

Abstract readReview
In one paragraph

Review in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Frontiers in pharmacology · 2026
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  18. Multi-Omics Integration IdentifiesInternational journal of molecular sciences · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Esienanwan Esien EfiongResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, 85764, Neuherberg, Germany. esienanwanefiong@gmail.com.
Kathrin MaedlerIslet Biology Laboratory, Centre for Biomolecular Interactions, University of Bremen, Bremen, Germany.
Emmanuel EffaDivision of Nephrology, Department of Internal Medicine, Faculty of Clinical Sciences, University of Calabar, PMB 1115, Calabar, 540271, Nigeria.
Uchechukwu Levi OsuagwuSchool of Medicine, Bathurst Rural Clinical School, Western Sydney University, Bathurst, NSW, 2795, Australia.
Esther PetersFaculty of Science, Masaryk University, 60200, Brno, Czech Republic.
Joshua Onyeka IkebiuroHuman and Animal Physiology Group, Wageningen University and Research, Wageningen, The Netherlands.
Chisom SoremekunResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Ugwunna IhediwaEmergency Medicine, Royal Cornwall Hospital, Truro, TR1 3LJ, UK.
Jiefei NiuResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Markéta FuchsResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Homa BazirehResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Akang Leonard BasseyDevelopmental Biology and Cancer Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Peter Uchenna AmadiDepartment of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 2R3, Canada.
Qiuling DongResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Njogu Mark KimaniDepartment of Physical Sciences, University of Embu, P. O. Box 6, Embu, 60100, Kenya.
Rebecca Chinyelu ChukwuanukwuDepartment of Internal Medicine 3, Uniklinikum Erlangen and Deutsches Zentrum Für Immuntherapie (DZI), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Emmy TuenterFaculty of Pharmaceutical, Biomedical and Veterinary Sciences, Department of Pharmaceutical Sciences, University of Antwerpen, Campus Drie Eiken, Universiteitsplein 1, 2610, Antwerp, Belgium.
Sapna SharmaResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Harald GrallertResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic kidney disease (DKD) is a chronic kidney condition that arises from prolonged hyperglycaemia that can progress to kidney failure, severe morbidity, and mortality if left untreated. It is the major cause of chronic kidney disease among people who have diabetes, accounting for a significant percentage of patients with end-stage kidney disease who require kidney replacement therapy. MAIN BODY: In DKD, numerous dysbalanced metabolic, haemodynamic, inflammatory signalling pathways, and molecular mediators interconnect, creating a feedback loop that promotes general kidney damage. Hyperglycaemia is the primary trigger for DKD and leads gradually to oxidative stress, inflammation, extracellular matrix deposition and fibrosis, glomerular hypertension, and intrarenal hypoxia. Key interconnected metabolic pathways are the hyperglycaemia-mediated polyol, hexosamine, protein kinase C, and advanced glycation end-products pathway hyperactivity. Concurrently, hyperglycaemia-induced renin-angiotensin-aldosterone system stimulation, alters the kidney intraglomerular haemodynamic leading to inflammation through Toll-like receptors, Janus kinase/signal transducer and activator of transcription, and nuclear factor-kappa B, transforming growth factor-beta-mediated excessive extracellular matrix accumulation and fibrosis. The resulting death signals trigger apoptosis and autophagy through Hippo, Notch, and Wnt/β-catenin pathway activation and microRNA dysregulation. These signals synergistically remodel the kidneys culminating in intrarenal hypoxia, podocyte dysfunction, hyperfiltration, epithelial-mesenchymal transition, and loss of kidney function. The resulting renal failure further upregulates these death pathways and mediators, giving rise to a vicious cycle that further worsens DKD.

conclusionThis review provides an overview of the primary molecular mediators and signalling pathways leading to DKD; their interconnectivity at the onset and during DKD progression, the central role of transforming growth factor-beta via different pathways, the Hippo pathway kidney-specific response to hyperglycaemia, and how all mediators and transduction signals result in a vicious circle that exacerbates renal failure. The review gives therapeutic sights to these pathways as druggable targets for DKD management. Understanding these molecular events underlying the pathogenesis of DKD can bridge basic research and clinical application, facilitating the development of innovative management strategies.

Indexed as

Chronic kidney diseaseDiabetic nephropathyEnd-stage kidney diseaseHippo signallingJanus kinase/signal transducer and activator of transcriptionNuclear factor-kappa BRenin–angiotensin–aldosterone systemSignal pathwaysToll-like receptorsTransforming growth factor-beta

Identifiers

PMID40468401
PMCPMC12139089

What Socratic holds

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Registered trials

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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.