» Articles » PMID: 32760252

Challenges for Therapeutic Applications of Opsin-Based Optogenetic Tools in Humans

Overview
Date 2020 Aug 8
PMID 32760252
Citations 41
Authors
Affiliations
Soon will be listed here.
Abstract

As the technological hurdles are overcome and optogenetic techniques advance to have more control over neurons, therapies based on these approaches will begin to emerge in the clinic. Here, we consider the technical challenges surrounding the transition of this breakthrough technology from an investigative tool to a true therapeutic avenue. The emerging strategies and remaining tasks surrounding genetically encoded molecules which respond to light as well as the vehicles required to deliver them are discussed.The use of optogenetics in humans would represent a completely new paradigm in medicine and would be associated with unprecedented technical considerations. To be applied for stimulation of neurons in humans, an ideal optogenetic tool would need to be non-immunogenic, highly sensitive, and activatable with red light or near-infrared light (to maximize light penetration while minimizing photodamage). To enable sophisticated levels of neuronal control, the combined use of optogenetic actuators and indicators could enable closed-loop all-optical neuromodulation. Such systems would introduce additional challenges related to spectral orthogonality between actuator and indicator, the need for decision making computational algorithms and requirements for large gene cassettes. As in any gene therapy, the therapeutic efficiency of optogenetics will rely on vector delivery and expression in the appropriate cell type. Although viral vectors such as those based on AAVs are showing great potential in human trials, barriers to their general use remain, including immune responses, delivery/transport, and liver clearance. Limitations associated with the gene cassette size which can be packaged in currently approved vectors also need to be addressed.

Citing Articles

Theoretical analysis of low-power deep synergistic sono-optogenetic excitation of neurons by co-expressing light-sensitive and mechano-sensitive ion-channels.

Roy S, Pyari G, Bansal H Commun Biol. 2025; 8(1):379.

PMID: 40050670 PMC: 11885482. DOI: 10.1038/s42003-025-07792-8.


Nitroglycerin-responsive gene switch for the on-demand production of therapeutic proteins.

Mahameed M, Xue S, Danuser B, Hamri G, Xie M, Fussenegger M Nat Biomed Eng. 2025; .

PMID: 39953326 DOI: 10.1038/s41551-025-01350-7.


Parameterization of intraoperative human microelectrode recordings: Linking action potential morphology to brain anatomy.

Baker M, Klassen B, Jensen M, Valencia G, Heydari H, Ince N bioRxiv. 2025; .

PMID: 39896506 PMC: 11785027. DOI: 10.1101/2025.01.20.633934.


Break-up and recovery of harmony between direct and indirect pathways in the basal ganglia: Huntington's disease and treatment.

Kim S, Lim W Cogn Neurodyn. 2024; 18(5):2909-2924.

PMID: 39555304 PMC: 11564723. DOI: 10.1007/s11571-024-10125-w.


Quantifying harmony between direct and indirect pathways in the basal ganglia: healthy and Parkinsonian states.

Kim S, Lim W Cogn Neurodyn. 2024; 18(5):2809-2829.

PMID: 39555274 PMC: 11564607. DOI: 10.1007/s11571-024-10119-8.


References
1.
Govorunova E, Sineshchekov O, Janz R, Liu X, Spudich J . NEUROSCIENCE. Natural light-gated anion channels: A family of microbial rhodopsins for advanced optogenetics. Science. 2015; 349(6248):647-50. PMC: 4764398. DOI: 10.1126/science.aaa7484. View

2.
DePaoli D, Gasecka A, Bahdine M, Deschenes J, Goetz L, Perez-Sanchez J . Anisotropic light scattering from myelinated axons in the spinal cord. Neurophotonics. 2020; 7(1):015011. PMC: 7063473. DOI: 10.1117/1.NPh.7.1.015011. View

3.
Chan K, Jang M, Yoo B, Greenbaum A, Ravi N, Wu W . Engineered AAVs for efficient noninvasive gene delivery to the central and peripheral nervous systems. Nat Neurosci. 2017; 20(8):1172-1179. PMC: 5529245. DOI: 10.1038/nn.4593. View

4.
Bedbrook C, Yang K, Robinson J, Mackey E, Gradinaru V, Arnold F . Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics. Nat Methods. 2019; 16(11):1176-1184. PMC: 6858556. DOI: 10.1038/s41592-019-0583-8. View

5.
Doronin A, Meglinski I . Online object oriented Monte Carlo computational tool for the needs of biomedical optics. Biomed Opt Express. 2011; 2(9):2461-9. PMC: 3184856. DOI: 10.1364/BOE.2.002461. View