SynthesisFrontiers in endocrinology2024
The role of exosomes in the pathogenesis and management of diabetic kidney disease: a systematic review and meta-analysis.
Synthesis in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Metabolomics profile in diabetes and blood glucose regulation: a systematic review.Frontiers in nutrition · 2026Pooled it
- Potential diagnostic value of microRNAs in vascular complications of diabetes: A systematic review and meta-analysis.Journal of endocrinological investigation · 2025Pooled it
- Urinary Extracellular Vesicle-Derived miRNAs as Regulators and Biomarkers in Diabetic Kidney Disease.International journal of molecular sciences · 2026Review
- Extracellular Vesicle-Derived MicroRNAs as Early Diagnostic Biomarkers of Diabetic Nephropathy and Cardiovascular Diseases in Type 2 Diabetes.International journal of molecular sciences · 2026Review
- Urinary exosomes aggravate diabetic kidney disease by inducing podocyte ferroptosis via the miR-217/SIRT1/Nrf2 pathway.Journal of cell communication and signaling · 2026Article
- Exosome-mediated cell-cell communication: a new perspective on the mechanisms and therapeutic potential of diabetic microvascular complications.Frontiers in pharmacology · 2026Review
- Extracellular vesicles at the immune-metabolic crossroads of Hashimoto's thyroiditis and diabetes mellitus.Frontiers in immunology · 2026Review
- What a Modern Physician Should Know About microRNAs in the Diagnosis and Treatment of Diabetic Kidney Disease.International journal of molecular sciences · 2025Review
- Exosomes applications in kidney diseases.Molecular biology reports · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This systematic review and meta-analysis aimed to synthesize the role of exosomes in the pathogenesis and management of diabetic kidney disease. Methods: PubMed, Embase, Cochrane Library, and Web of Science were searched for studies that compared the levels of exosomes between patients with diabetic kidney disease and controls published up to 27 November 2023. Methodological quality was assessed using the JBI Appraisal Checklist for Case-Control Studies. The methodology of the samples and the main results were summarized. A meta-analysis of the diagnostic performance of exosomes was performed using estimates of test sensitivity and specificity, and these values were summarized using summary receiver-operating characteristic curves. The results were reported following the PRISMA 2020 checklist. Results: A total of 32 studies, including 1,119 patients with diabetic kidney disease and 1,328 controls, met the inclusion criteria. A total of 78 upregulated and 22 downregulated microRNAs, 2 upregulated and 4 downregulated mRNAs, 6 upregulated and 1 downregulated proteins, and 4 upregulated lipids were identified. The miR-126, miR-145, miR-150, miR-21, and WT1 mRNA dysregulation were consistently reported in at least two studies. The overall sensitivity and specificity of the exosomes in diabetic kidney disease diagnosis were 0.70 (95% CI: 0.59-0.80) and 0.79 (95% CI: 0.70-0.85), respectively. The summary receiver operating characteristic curve was plotted to assess diagnostic accuracy with the area under the curve (AUC) of 0.82 (95% CI: 0.78-0.85). Conclusion: Exosomes have great potential to become effective diagnostic biomarkers for diabetic kidney disease. Panels of exosomes or the combination of exosomes with other clinical indicators seemed more accurate than single exosomes.
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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 Socratic graph.