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Record W4411021620 · doi:10.1186/s13098-025-01726-4

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

2025· review· en· W4411021620 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDiabetology & Metabolic Syndrome · 2025
Typereview
Languageen
FieldMedicine
TopicChronic Kidney Disease and Diabetes
Canadian institutionsUniversity of Alberta
FundersAlexander von Humboldt-Stiftung
KeywordsMedicinePodocyteKidneyKidney diseaseWnt signaling pathwayFibrosisAcute kidney injuryCancer researchInternal medicineBioinformaticsEndocrinologySignal transductionCell biologyBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Diabetic 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. CONCLUSION: This 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.697
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0100.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.306
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it