Pain-on-a-Chip: A microfluidic device for neuron differentiation and functional discrimination in animal models of chronic pain

Chronic pain is a global health issue that is poorly understood and challenging to treat. Improving pain classification and treatment requires new strategies that objectively discriminate between pain conditions and minimise subjectivity associated with the perception of pain. To address this, we have developed a microfluidic biosensor - termed 'pain-on-a-chip' - that leverages recent advancements in biocompatible microfluidic technology with on-chip differentiation of nociceptor-like cells, enabling small sample volumes to be used. Following neuronal differentiation, we used on-chip live cell Ca<sup>2+</sup> imaging to functionally validate the system. This includes characterising excitation responses in cells challenged with microfluidic perfusion of known nociceptive stimuli and biological fluids collected from different preclinical pain models. Our results demonstrate that this platform has the potential to discriminate between serum samples from distinct chronic pain models. This system has potential as an objective, and minimally invasive method for distinguishing between different subtypes of chronic pain.

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Publication Details

Journal
Biosensors and Bioelectronics
Published
2025-03-19
DOI
https://doi.org/10.1016/j.bios.2025.117401
Citations
3
Primary Topic
Pain Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
3.49

Funders

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article

Pain-on-a-Chip: A microfluidic device for neuron differentiation and functional discrimination in animal models of chronic pain

Ziqiu Tong, Azadeh Nilghaz, Daniel P. Poole, Nicholas A. Veldhuis et al.
3 citations
Biosensors and Bioelectronics
Pain Mechanisms and Treatments
3.49
article

Pain-on-a-Chip: A microfluidic device for neuron differentiation and functional discrimination in animal models of chronic pain

Ziqiu Tong, Azadeh Nilghaz, Daniel P. Poole, Nicholas A. Veldhuis, Rainer Haberberger, Douer Zhu, Nicolas Hans Voelcker, Kelly O’Sullivan, Wendy L. Imlach, Dusan Matusica
article en
3 citations

Abstract

Chronic pain is a global health issue that is poorly understood and challenging to treat. Improving pain classification and treatment requires new strategies that objectively discriminate between pain conditions and minimise subjectivity associated with the perception of pain. To address this, we have developed a microfluidic biosensor - termed 'pain-on-a-chip' - that leverages recent advancements in biocompatible microfluidic technology with on-chip differentiation of nociceptor-like cells, enabling small sample volumes to be used. Following neuronal differentiation, we used on-chip live cell Ca<sup>2+</sup> imaging to functionally validate the system. This includes characterising excitation responses in cells challenged with microfluidic perfusion of known nociceptive stimuli and biological fluids collected from different preclinical pain models. Our results demonstrate that this platform has the potential to discriminate between serum samples from distinct chronic pain models. This system has potential as an objective, and minimally invasive method for distinguishing between different subtypes of chronic pain.

Biosensors and BioelectronicsVol. 279
Flinders University (AU), Discovery Institute (US), Australian Regenerative Medicine Institute (AU), Australian National Fabrication Facility (AU), Flinders Medical Centre (AU), Monash University (AU), The University of Adelaide (AU)
Australian Research Council, National Health and Medical Research Council
Reduced inequalities
Openalex Percentile: Top 9%
Pain Mechanisms and Treatments
3.49
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