Updated Toolbox for Assessing Neuronal Network Reconstruction after Cell Therapy.
Ana Gonzalez-RamosClaudia Puigsasllosas-PastorAinhoa Arcas-MarquezDaniel TorneroPublished in: Bioengineering (Basel, Switzerland) (2024)
Cell therapy has proven to be a promising treatment for a range of neurological disorders, including Parkinson Disease, drug-resistant epilepsy, and stroke, by restoring function after brain damage. Nevertheless, evaluating the true effectiveness of these therapeutic interventions requires a deep understanding of the functional integration of grafted cells into existing neural networks. This review explores a powerful arsenal of molecular techniques revolutionizing our ability to unveil functional integration of grafted cells within the host brain. From precise manipulation of neuronal activity to pinpoint the functional contribution of transplanted cells by using opto- and chemo-genetics, to real-time monitoring of neuronal dynamics shedding light on functional connectivity within the reconstructed circuits by using genetically encoded (calcium) indicators in vivo . Finally, structural reconstruction and mapping communication pathways between grafted and host neurons can be achieved by monosynaptic tracing with viral vectors. The cutting-edge toolbox presented here holds immense promise for elucidating the impact of cell therapy on neural circuitry and guiding the development of more effective treatments for neurological disorders.
Keyphrases
- cell therapy
- functional connectivity
- induced apoptosis
- resting state
- drug resistant
- cerebral ischemia
- stem cells
- parkinson disease
- mesenchymal stem cells
- cell cycle arrest
- neural network
- randomized controlled trial
- radiation therapy
- oxidative stress
- physical activity
- cell death
- sars cov
- endoplasmic reticulum stress
- deep brain stimulation
- drug delivery
- white matter
- acinetobacter baumannii
- machine learning
- mass spectrometry
- deep learning
- photodynamic therapy