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<div class="csl-entry">Spitz, S., Schobesberger, S., Brandauer, K., & Ertl, P. (2024). Sensor-integrated brain-on-a-chip platforms: Improving the predictive validity in neurodegenerative research. <i>BIOENGINEERING & TRANSLATIONAL MEDICINE</i>, <i>9</i>(3), Article e10604. https://doi.org/10.1002/btm2.10604</div>
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dc.identifier.issn
2380-6761
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/205627
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dc.description.abstract
Affecting 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.
en
dc.language.iso
en
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dc.publisher
WILEY
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dc.relation.ispartof
BIOENGINEERING & TRANSLATIONAL MEDICINE
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dc.subject
microfluidics
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dc.subject
microphysiological systems
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dc.subject
neurodegenerative diseases
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dc.subject
non‐invasive monitoring
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dc.subject
organ‐on‐a‐chip technology
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dc.subject
sensors
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dc.title
Sensor-integrated brain-on-a-chip platforms: Improving the predictive validity in neurodegenerative research