All-in-one wearable drug efficacy assessment systems for bulbar muscle function using amyotrophic lateral sclerosis animal models
Beomjune Shin,
Youngjin Kwon,
Michelle Mittaz,
Hojoong Kim,
Xiaoxing Xu,
Eugene Kim,
Yoon Jae Lee,
Jimin Lee,
Woon-Hong Yeo () and
Hyojung J. Choo ()
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Beomjune Shin: Georgia Institute of Technology
Youngjin Kwon: Georgia Institute of Technology
Michelle Mittaz: Emory University
Hojoong Kim: Georgia Institute of Technology
Xiaoxing Xu: Emory University
Eugene Kim: Georgia Institute of Technology
Yoon Jae Lee: Georgia Institute of Technology
Jimin Lee: Georgia Institute of Technology
Woon-Hong Yeo: Georgia Institute of Technology
Hyojung J. Choo: Emory University
Nature Communications, 2024, vol. 15, issue 1, 1-11
Abstract:
Abstract Preclinical studies are crucial for developing amyotrophic lateral sclerosis drugs. Current FDA-approved drugs have been created by monitoring limb muscle function and histological analysis of amyotrophic lateral sclerosis model animals. Drug candidates for this disease have yet to be tested for bulbar-onset type due to the limitations of traditional preclinical tools: excessive animal use and discrete detection of disease progress. Here, our study introduces an all-in-one, wireless, integrated wearable system for facilitating continuous drug efficacy assessment of dysphagia-related muscles in animals during natural eating behaviors. By incorporating a kirigami-based strain-isolation mechanism, this device mounted on the skin of animals mitigates electromyography signal contamination caused by unpredictable animal movements. Our findings indicate this system, measuring the progression of motor neuron denervation, offers high precision in monitoring drug effects on dysphagia-responsible bulbar muscles. This study paves the way for more humane and efficient approaches to developing treatment solutions for degenerative neuromuscular diseases.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51300-1
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DOI: 10.1038/s41467-024-51300-1
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