Engineering human spinal microphysiological systems to model opioid-induced tolerance
© 2022 The Authors..
pioids are commonly used for treating chronic pain. However, with continued use, they may induce tolerance and/or hyperalgesia, which limits therapeutic efficacy. The human mechanisms of opioid-induced tolerance and hyperalgesia are significantly understudied, in part, because current models cannot fully recapitulate human pathology. Here, we engineered novel human spinal microphysiological systems (MPSs) integrated with plug-and-play neural activity sensing for modeling human nociception and opioid-induced tolerance. Each spinal MPS consists of a flattened human spinal cord organoid derived from human stem cells and a 3D printed organoid holder device for plug-and-play neural activity measurement. We found that the flattened organoid design of MPSs not only reduces hypoxia and necrosis in the organoids, but also promotes their neuron maturation, neural activity, and functional development. We further demonstrated that prolonged opioid exposure resulted in neurochemical correlates of opioid tolerance and hyperalgesia, as measured by altered neural activity, and downregulation of μ-opioid receptor expression of human spinal MPSs. The MPSs are scalable, cost-effective, easy-to-use, and compatible with commonly-used well-plates, thus allowing plug-and-play measurements of neural activity. We believe the MPSs hold a promising translational potential for studying human pain etiology, screening new treatments, and validating novel therapeutics for human pain medicine.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:22 |
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| Enthalten in: |
Bioactive materials - 22(2023) vom: 05. Apr., Seite 482-490 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Cai, Hongwei [VerfasserIn] |
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| Links: |
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| Themen: |
In-situ electrical sensing |
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| Anmerkungen: |
Date Revised 25.08.2023 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.bioactmat.2022.10.007 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM348440774 |
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| 520 | |a © 2022 The Authors. | ||
| 520 | |a pioids are commonly used for treating chronic pain. However, with continued use, they may induce tolerance and/or hyperalgesia, which limits therapeutic efficacy. The human mechanisms of opioid-induced tolerance and hyperalgesia are significantly understudied, in part, because current models cannot fully recapitulate human pathology. Here, we engineered novel human spinal microphysiological systems (MPSs) integrated with plug-and-play neural activity sensing for modeling human nociception and opioid-induced tolerance. Each spinal MPS consists of a flattened human spinal cord organoid derived from human stem cells and a 3D printed organoid holder device for plug-and-play neural activity measurement. We found that the flattened organoid design of MPSs not only reduces hypoxia and necrosis in the organoids, but also promotes their neuron maturation, neural activity, and functional development. We further demonstrated that prolonged opioid exposure resulted in neurochemical correlates of opioid tolerance and hyperalgesia, as measured by altered neural activity, and downregulation of μ-opioid receptor expression of human spinal MPSs. The MPSs are scalable, cost-effective, easy-to-use, and compatible with commonly-used well-plates, thus allowing plug-and-play measurements of neural activity. We believe the MPSs hold a promising translational potential for studying human pain etiology, screening new treatments, and validating novel therapeutics for human pain medicine | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a In-situ electrical sensing | |
| 650 | 4 | |a Microphysiological systems | |
| 650 | 4 | |a Neural activity | |
| 650 | 4 | |a Opioid-induced tolerance and hyperalgesia | |
| 650 | 4 | |a Organ-on-chip | |
| 650 | 4 | |a Spinal cord organoids | |
| 700 | 1 | |a Ao, Zheng |e verfasserin |4 aut | |
| 700 | 1 | |a Tian, Chunhui |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Zhuhao |e verfasserin |4 aut | |
| 700 | 1 | |a Kaurich, Connor |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Zi |e verfasserin |4 aut | |
| 700 | 1 | |a Gu, Mingxia |e verfasserin |4 aut | |
| 700 | 1 | |a Hohmann, Andrea G |e verfasserin |4 aut | |
| 700 | 1 | |a Mackie, Ken |e verfasserin |4 aut | |
| 700 | 1 | |a Guo, Feng |e verfasserin |4 aut | |
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