Neurotransmitter-Responsive Nanosensors for T2-Weighted Magnetic Resonance Imaging

Autor: Santiago Recuenco Alvarado, Robert Ohlendorf, Isabel García-Álvarez, He Wei, Athena Ortega, Alan Jasanoff, Vivian Hsieh, Satoshi Okada, Jingxuan Fan, Ali Barandov
Rok vydání: 2019
Předmět:
Zdroj: Journal of the American Chemical Society
DDFV: Repositorio Institucional de la Universidad Francisco de Vitoria
Universidad Francisco de Vitoria
DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
instname
J Am Chem Soc
Popis: Neurotransmitter-sensitive contrast agents for magnetic resonance imaging (MRI) have recently been used for mapping signaling dynamics in live animal brains, but paramagnetic sensors for T1-weighted MRI are usually effective only at micromolar concentrations that themselves perturb neurochemistry. Here we present an alternative molecular architecture for detecting neurotransmitters, using superparamagnetic iron oxide nanoparticles conjugated to tethered neurotransmitter analogs and engineered neurotransmitter binding proteins. Interactions between the nanoparticle conjugates result in clustering that is reversibly disrupted in the presence of neurotransmitter analytes, thus altering T2-weighted MRI signals. We demonstrate this principle using tethered dopamine and serotonin analogs, together with proteins selected for their ability to competitively bind either the analogs or the neurotransmitters themselves. Corresponding sensors for dopamine and serotonin exhibit target-selective relaxivity changes of up to 20%, while also operating below endogenous neurotransmitter concentrations. Semisynthetic magnetic particle sensors thus represent a promising path for minimally perturbative studies of neurochemical analytes. post-print 2482 KB
Databáze: OpenAIRE