Extracellular Vesicles Derived from L-MYC Neural Stem Cells Mediate Neuroprotection in 3D Models of Chemotherapy- and Radiation-Induced Neurotoxicity
Nunes, L. G. A.; Vasquez, I.; Enright, B.; Chen, L.; Patel, S.; Rockne, R. C.; Yoon, S.; Gutova, M.
Show abstract
Background/Objectives: Cancer survivors frequently experience long-term neurocognitive impairments following chemotherapy and cranial irradiation, yet experimental models that enable mechanistic investigation of therapy-induced neurotoxicity at the transcriptional level remain limited. This study aimed to develop a human three-dimensional (3D) neural tissue model derived from L-Myc immortalized neural stem cells (LMNSCs) and use transcriptomic profiling to identify molecular pathways underlying chemotherapy- and radiation-induced neural injury and extracellular vesicle (EV)-mediated recovery. Methods: LMNSCs were differentiated in a 3D, methylcellulose-based culture to generate neural tissue containing neurons, astrocytes, and oligodendrocytes. Cultures were exposed to methotrexate (MTX) or ionizing radiation to induce neural injury and subsequently treated with LMNSC-derived EVs. Neural injury and repair mechanisms were evaluated by immunocytochemistry and bulk transcriptomics. Results: MTX and irradiation induced dose-dependent injury, exhibited by loss of neuronal complexity and reduced glial populations. LMNSC-EV treatment promoted recovery of neuronal and glial populations following MTX- and irradiation-induced injury. Transcriptomic analysis of irradiated cultures revealed activation of inflammation, DNA damage, and stress-response pathways, which were attenuated after treatment with LMNSC-EVs. Conclusions: LMNSC-based 3D neural tissue provides a human-relevant platform for modeling cancer therapy-induced neurotoxicity. Furthermore, LMNSC-EVs represent a promising cell-free regenerative therapeutic that restores injury-associated inflammatory, stress, and metabol-ic transcriptional programs after radiation-induced neural injury.
Matching journals
The top 13 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- 1--4-phenylpiperazine Treatment After Brain Irradiation Preserves Cognitive Function in Mice 95%
- Spatial Transcriptomics Characterisation of Radionecrotic Changes in Glioblastoma Patients 93%
- Short-term Topiramate treatment prevents radiation-induced cytotoxic edema in preclinical models of breast-cancer brain metastasis 91%
Similar papers in this journal
- Retroviral Infection of Human Neurospheres and Use of Stem Cell EVs to Repair Cellular Damage 92%
- Poly-L-Ornithine Coated Plant Scaffolds Support Motor Recovery in Rats after Traumatic Spinal Cord Injury 92%
- A robust and comprehensive quality control of cerebral cortical organoids: methodology and validation 91%
Similar papers in this journal
- Crosstalk between microglia and patient-derived glioblastoma cells inhibit invasion in a three-dimensional gelatin hydrogel model 90%
- The broad spectrum mixed-lineage kinase 3 inhibitor URMC-099 prevents acute microgliosis and cognitive decline in a mouse model of perioperative neurocognitive disorders 89%
- A new method for obtaining bankable and expandable adult-like microglial cells 89%
Similar papers in this journal
- High complexity cellular barcoding and clonal tracing reveals stochastic and deterministic parameters of radiation resistance 90%
- Adversary of DNA integrity: a long non-coding RNA stimulates driver oncogenic chromosomal rearrangement in human thyroid cells 89%
- Transcriptional repression of SOX2 by p53 in cancer cells regulates cell identity and migration 88%
Similar papers in this journal
- The Role of Secretome from Mesenchymal Stromal Cells in Promoting Nerve Regeneration After Neurotmesis 91%
- Reprogrammed Human Lateral Ganglionic Eminence Precursors Generate Striatal Neurons and Restore Motor Function in a Rat Model of Huntington's Disease. 91%
- Radiation induced toxicity in rectal epithelial stem cell contributes to acute radiation injury in rectum 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.