Decoding diabetic kidney disease: a comprehensive review of interconnected pathways, molecular mediators, and therapeutic insights
Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".