TY  - JOUR
AU  - Zare, Iman
AU  - Yaraki, Mohammad Tavakkoli
AU  - Speranza, Giorgio
AU  - Najafabadi, Alireza Hassani
AU  - Shourangiz-Haghighi, Alireza
AU  - Nik, Amirala Bakhshian
AU  - Manshian, Bella B.
AU  - Saraiva, Cláudia
AU  - Soenen, Stefaan J.
AU  - Kogan, Marcelo J.
AU  - Lee, Jee Woong
AU  - Apollo, Nicholas V.
AU  - Bernardino, Liliana
AU  - Araya, Eyleen
AU  - Mayer, Dirk
AU  - Mao, Guangzhao
AU  - Hamblin, Michael R.
TI  - Gold nanostructures: synthesis, properties, and neurological applications
JO  - Chemical Society reviews
VL  - 51
SN  - 0306-0012
CY  - London
PB  - Soc.
M1  - FZJ-2023-01346
SP  - 2601-2680
PY  - 2022
N1  - Bitte Post-print ergänzen
AB  - Recent advances in technology are expected to increase our current understanding of neuroscience. Nanotechnology and nanomaterials can alter and control neural functionality in both in vitro and in vivo experimental setups. The intersection between neuroscience and nanoscience may generate long-term neural interfaces adapted at the molecular level. Owing to their intrinsic physicochemical characteristics, gold nanostructures (GNSs) have received much attention in neuroscience, especially for combined diagnostic and therapeutic (theragnostic) purposes. GNSs have been successfully employed to stimulate and monitor neurophysiological signals. Hence, GNSs could provide a promising solution for the regeneration and recovery of neural tissue, novel neuroprotective strategies, and integrated implantable materials. This review covers the broad range of neurological applications of GNS-based materials to improve clinical diagnosis and therapy. Sub-topics include neurotoxicity, targeted delivery of therapeutics to the central nervous system (CNS), neurochemical sensing, neuromodulation, neuroimaging, neurotherapy, tissue engineering, and neural regeneration. It focuses on core concepts of GNSs in neurology, to circumvent the limitations and significant obstacles of innovative approaches in neurobiology and neurochemistry, including theragnostics. We will discuss recent advances in the use of GNSs to overcome current bottlenecks and tackle technical and conceptual challenges.
LB  - PUB:(DE-HGF)16
C6  - 35234776
UR  - <Go to ISI:>//WOS:000763005100001
DO  - DOI:10.1039/D1CS01111A
UR  - https://juser.fz-juelich.de/record/1005158
ER  -