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An Activity-Based Nanosensor for Minimally-Invasive Measurement of Protease Activity in Traumatic Brain Injury.
Kudryashev, Julia A; Madias, Marianne I; Kandell, Rebecca M; Lin, Queenie X; Kwon, Ester J.
Afiliación
  • Kudryashev JA; Department of Bioengineering, University of California, San Diego, La Jolla, California 92093, United States.
  • Madias MI; Department of Bioengineering, University of California, San Diego, La Jolla, California 92093, United States.
  • Kandell RM; Department of Bioengineering, University of California, San Diego, La Jolla, California 92093, United States.
  • Lin QX; Department of Bioengineering, University of California, San Diego, La Jolla, California 92093, United States.
  • Kwon EJ; Department of Bioengineering, University of California, San Diego, La Jolla, California 92093, United States.
Adv Funct Mater ; 33(28)2023 Jul 11.
Article en En | MEDLINE | ID: mdl-37873031
ABSTRACT
Current screening and diagnostic tools for traumatic brain injury (TBI) have limitations in sensitivity and prognostication. Aberrant protease activity is a central process that drives disease progression in TBI and is associated with worsened prognosis; thus direct measurements of protease activity could provide more diagnostic information. In this study, a nanosensor is engineered to release a measurable signal into the blood and urine in response to activity from the TBI-associated protease calpain. Readouts from the nanosensor were designed to be compatible with ELISA and lateral flow assays, clinically-relevant assay modalities. In a mouse model of TBI, the nanosensor sensitivity is enhanced when ligands that target hyaluronic acid are added. In evaluation of mice with mild or severe injuries, the nanosensor identifies mild TBI with a higher sensitivity than the biomarker GFAP. This nanosensor technology allows for measurement of TBI-associated proteases without the need to directly access brain tissue, and has the potential to complement existing TBI diagnostic tools.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Adv Funct Mater Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Adv Funct Mater Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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