Nanotechnology-based strategies for early diagnosis of central nervous system (CNS) disorders

Sumaira Hanif, Pir Muhammad, Zheng Niu , Muhammad Ismail, Marco Morsch, Xiaoju Zhang, Mingqiang Li, Bingyang Shi*

*Corresponding author for this work

    Research output: Contribution to journalReview articlepeer-review

    31 Citations (Scopus)
    135 Downloads (Pure)

    Abstract

    Central nervous system (CNS) disorders feature the progressive and selective loss of normal brain functions. CNS disorders often include an irreversible physiological and anatomical loss of neurons that can lead to dysfunction in various parts of the brain and eventually death. Glioblastoma multiforme (GBM) and neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD) are hard to be diagnosed at an early stage for the prevention of disease propagation. Such diagnosis is vital for the timely commencement of actual treatments. Nanotechnology brings new diagnosis hope for CNS disorders as it provides ultrasensitive detection for more specific biomarkers. Herein, the recent progress in techniques development for detecting pathological biomarkers for GBM, AD, and PD is summarized, in particular, the principles that govern the design of these sensors, blood–brain barrier (BBB) dysfunction, and its integrity during disease development. Finally, a perspective on future directions to further advance and improve the early-stage diagnosis of CNS disorders is presented.

    Original languageEnglish
    Article number2100008
    Pages (from-to)1-28
    Number of pages28
    JournalAdvanced NanoBiomed Research
    Volume1
    Issue number10
    Early online date3 May 2021
    DOIs
    Publication statusPublished - Oct 2021

    Bibliographical note

    Copyright the Author(s) 2021. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

    Keywords

    • Alzheimer's disease
    • early diagnoses
    • glioblastoma multiforme
    • nanotechnologies
    • Parkinson's disease

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