Literature DB >> 33929095

Rapid and Electronic Identification and Quantification of Age-Specific Circulating Exosomes via Biologically Activated Graphene Transistors.

Reza Hajian1,2, Jonalyn DeCastro1, Jonathan Parkinson2, Alex Kane2, Andres Felipe Romero Camelo1, Peichi Peggy Chou3, Jielin Yang4, Nathan Wong5, Ecson Daniel Obando Hernandez1, Brett Goldsmith2, Irina Conboy5, Kiana Aran1,2,5.   

Abstract

Increasing access to modern clinical practices concomitantly extends lifespan, ironically revealing new classes of degenerative and inflammatory diseases of later years. Here, an electronic graphene field-effect transistor (gFET) is reported, termed EV-chip, for label-free, rapid identification and quantification of exosomes (EV) associated with aging through specific surface markers, CD63 and CD151. Studies suggest that blood-derived exosomes carry specific biomolecules that can be used toward diagnostic applications of age and health. However, to observe improvements in patient outcomes, earlier detection at the point-of-care (POC) is required. Unfortunately, conventional techniques and other electronic-based platforms for exosome sensing are burdensome and inept for the POC distinction of aged blood factors. It is shown that EV-chip can quantitatively detect purified exosomes from plasma, with a limit of detection (LOD) of 2 × 104 particles mL-1 and a limit of quantification (LOQ) of 6 × 104 particles mL-1 . The sensitivity and compact electronics of the EV-chip improves upon previously published electronic biosensors, making it ideal for a physician's office or a simple biological laboratory. The sensitivity, selectivity, and portability of the EV-chip demonstrate the potential of the biosensor as a powerful point-of-care diagnostic and prognostic tool for age-related diseases.
© 2021 Wiley-VCH GmbH.

Entities:  

Keywords:  aging; biotechnology; exosomes; graphene; label-free; sensors; vesicles

Year:  2021        PMID: 33929095     DOI: 10.1002/adbi.202000594

Source DB:  PubMed          Journal:  Adv Biol (Weinh)        ISSN: 2701-0198


  2 in total

Review 1.  Influences of age, race, and sex on extracellular vesicle characteristics.

Authors:  Nicole Noren Hooten; Anjali M Byappanahalli; Mya Vannoy; Victor Omoniyi; Michele K Evans
Journal:  Theranostics       Date:  2022-05-24       Impact factor: 11.600

Review 2.  Introduction of Nanomaterials to Biosensors for Exosome Detection: Case Study for Cancer Analysis.

Authors:  Myoungro Lee; Jinmyeong Kim; Moonbong Jang; Chulhwan Park; Jin-Ho Lee; Taek Lee
Journal:  Biosensors (Basel)       Date:  2022-08-17
  2 in total

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