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Sensor‐integrated brain‐on‐a‐chip platforms: Improving the predictive validity in neurodegenerative research

Authors: Spitz, Sarah; Schobesberger, Silvia; Brandauer, Konstanze; Ertl, Peter;

Sensor‐integrated brain‐on‐a‐chip platforms: Improving the predictive validity in neurodegenerative research

Abstract

AbstractAffecting millions of individuals worldwide, neurodegenerative diseases (NDDs) pose a significant and growing health concern in people over the age of 60 years. Contributing to this trend are the steady increase in the aging population coupled with a persistent lack of disease‐altering treatment strategies targeting NDDs. The absence of efficient therapeutics can be attributed to high failure rates in clinical trials and the ineptness of animal models in preceding preclinical studies. To that end, in recent years, significant research effort has been dedicated to the development of human cell‐based preclinical disease models characterized by a higher degree of predictive validity. However, a key requirement of any in vitro model constitutes the precise knowledge and replication of the target tissues' (patho‐)physiological microenvironment. Herein, microphysiological systems have demonstrated superiority over conventional static 2D/3D in vitro cell culture systems, as they allow for the emulation and continuous monitoring of the onset, progression, and remission of disease‐associated phenotypes. This review provides an overview of recent advances in the field of NDD research using organ‐on‐a‐chip platforms. Specific focus is directed toward non‐invasive sensing strategies encompassing electrical, electrochemical, and optical sensors. Additionally, promising on‐ and integrable off‐chip sensing strategies targeting key analytes in NDDs will be presented and discussed in detail.

Keywords

microphysiological systems, microfluidics, RM1-950, organ‐on‐a‐chip technology, sensors, non‐invasive monitoring, Chemical engineering, non-invasive monitoring, neurodegenerative diseases, TP155-156, Therapeutics. Pharmacology, Review Articles, organ-on-a-chip technology, TP248.13-248.65, Biotechnology

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
Green
gold