ArticleFrontiers in chemistry2020
Cyanine Nanocages Activated by Near-Infrared Light for the Targeted Treatment of Traumatic Brain Injury.
Article in Frontiers in chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Recent advances in biomaterials for bone regeneration: Bridging innovation and clinical translation.Materials today. Bio · 2026Review
- Article
- Light in a Heartbeat: Bond Scission by a Single Photon above 800 nm.Journal of the American Chemical Society · 2024Article
- Repurposing Cyanine Photoinstability To Develop Near-Infrared Light-Activatable Nanogels for In Vivo Cargo Delivery.Journal of the American Chemical Society · 2022Article
- Photouncaging of Carboxylic Acids from Cyanine Dyes with Near-Infrared Light.Angewandte Chemie (International ed. in English) · 2022Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traumatic brain injury (TBI) is a common and prevalent condition that affects large numbers of people across a range of ages. Individuals engaging in physical activities and victims of accidents are at a higher risk for TBI. There is a lack of available treatment specifically for TBI. Given the difficulty to determine its precise location in the brain, TBI remains difficult to fully diagnose or treat. Herein, we disclose a novel strategy for directing therapeutic agents to TBI sites, without the need to determine the precise location of the TBI activity in the brain. This novel approach is based on the use of a cyanine dye nanocage carrying Gabapentin, a known TBI therapeutic agent. Upon exposure of the cyanine nanocage to near-infrared light, the local release of Gabapentin is triggered, selectively at the TBI-affected site.
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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 OpenQuestion graph.