ReviewFrontiers in medicine2025
The potential of exosomes in regenerative medicine and in the diagnosis and therapies of neurodegenerative diseases and cancer.
Review in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
- Epigenetic Insights and Exosome-Based Therapeutics for Insomnia: Bridging Sleep Biology and Precision Medicine.Molecular neurobiology · 2026Review
- The Potency of Extracellular Vesicles Derived From Mesenchymal Stem Cells Macaca fascicularis as a Candidate Cancer Therapeutic Agents.Journal of medical primatology · 2026Article
- Extracellular Vesicles in Regenerative and Cosmetic Medicine: Safety, Clinical Effectiveness, Therapeutic Applications, and Regulatory Challenges.International journal of molecular sciences · 2026Review
- Exosomal nanocarriers for targeted drug delivery in cancer therapy.Discover oncology · 2026Review
- How Emerging Nanomaterials are Effective in Bone Regeneration?International journal of nanomedicine · 2026Review
- Moving beyond cytotoxicity in cancer immunotherapy: embracing tumor microenvironment remodeling for durable control.British journal of cancer · 2025Review
- Exosomes from Adipose Tissue Mesenchymal Stem Cells, a Preliminary Study for In Vitro and In Vivo Application.Bioengineering (Basel, Switzerland) · 2025Article
- Neuronal Differentiation and Exosome Profiling of Dental Pulp Stem Cells: Unveiling Their Potential for Nerve Repair.International journal of molecular sciences · 2025Article
- Nanoparticles: a new frontier in neurodegenerative disease therapy.Frontiers in medical technology · 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
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exosomes, nanosized extracellular vesicles released by various cell types, are intensively studied for the diagnosis and treatment of cancer and neurodegenerative diseases, and they also display high usability in regenerative medicine. Emphasizing their diagnostic potential, exosomes serve as carriers of disease-specific biomarkers, enabling non-invasive early detection and personalized medicine. The cargo loading of exosomes with therapeutic agents presents an innovative strategy for targeted drug delivery, minimizing off-target effects and optimizing therapeutic interventions. In regenerative medicine, exosomes play a crucial role in intercellular communication, facilitating tissue regeneration through the transmission of bioactive molecules. While acknowledging existing challenges in standardization and scalability, ongoing research efforts aim to refine methodologies and address regulatory considerations. In summary, this review underscores the transformative potential of exosomes in reshaping the landscape of medical interventions, with a particular emphasis on cancer, neurodegenerative diseases, and regenerative medicine.
Indexed as
Identifiers
What Socratic 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 Socratic graph.