Engineered hydrogels as functional components in controllable neuromodulation for translational therapeutics
Engineered hydrogels as functional components in controllable neuromodulation for translational therapeutics
Controllable neuromodulation leveraging multimodal triggers synergized with hydrogels represents a transformative therapeutic strategy for pro-regenerative neural repair. Strategic incorporation of programmable neuromodulatory interventions and engineered hydrogels within localized neural niches is critical for clinical translation, characterized by lower invasiveness and greater therapeutic efficacy. This review elucidates the physiochemical features of hydrogels, systematically classifying hydrogel-based neuromodulation into five distinct modes (electrical, ionic, biomechanical, optical, and biochemical) and highlighting the intrinsic multidimensional structural and chemical engineering employed to enhance neuromodulatory performance. Key principles of hydrogel design and fabrication are provided from the perspective of tissue–implant interactions, such as mechanical compatibility, electrointegration, adhesion, and wireless activation. Hydrogels embedded with low-impedance organic and inorganic components, such as conductive polymers and noble metals, are investigated to provide high-level evidence to enable precise cellular stimulation for intrinsic nerve repair, neural prosthesis, and brain–machine interface. Crucially, this review highlights the synergistic integration of these principles into multimodal, closed-loop systems, which combine functions like electrophysiological sensing with on-demand biochemical release for intelligent, autonomous therapies. Finally, this review confronts the critical challenges for clinical translation and discusses future directions, including the potential of artificial intelligence-driven materials design to accelerate the development of next-generation neural interfaces.
7587-7615
Zhao, Yanming
530cd7d3-463a-4e87-9ccd-a2afb693bdbf
Sun, Rujie
e3dad16d-6c79-4972-8378-edca28a3babd
Wang, Zitian
8d5c387d-3028-4b2a-96ac-d7cba3674770
Ma, Shaohua
1e707512-a17b-4b20-861e-baaff4fe5780
Wang, Runming
b0931f95-8e90-41ee-a665-f3c3b55a84a9
Li, Fieran
eb06066a-c50b-4302-bc8a-44d14f2c452f
Geng, Hongya
082a6e0b-062a-48a6-af5c-28701f23361c
1 September 2025
Zhao, Yanming
530cd7d3-463a-4e87-9ccd-a2afb693bdbf
Sun, Rujie
e3dad16d-6c79-4972-8378-edca28a3babd
Wang, Zitian
8d5c387d-3028-4b2a-96ac-d7cba3674770
Ma, Shaohua
1e707512-a17b-4b20-861e-baaff4fe5780
Wang, Runming
b0931f95-8e90-41ee-a665-f3c3b55a84a9
Li, Fieran
eb06066a-c50b-4302-bc8a-44d14f2c452f
Geng, Hongya
082a6e0b-062a-48a6-af5c-28701f23361c
Zhao, Yanming, Sun, Rujie, Wang, Zitian, Ma, Shaohua, Wang, Runming, Li, Fieran and Geng, Hongya
(2025)
Engineered hydrogels as functional components in controllable neuromodulation for translational therapeutics.
ACS Applied Bio Materials, 8 (9), .
(doi:10.1021/acsabm.5c01269?ref=PDF).
Abstract
Controllable neuromodulation leveraging multimodal triggers synergized with hydrogels represents a transformative therapeutic strategy for pro-regenerative neural repair. Strategic incorporation of programmable neuromodulatory interventions and engineered hydrogels within localized neural niches is critical for clinical translation, characterized by lower invasiveness and greater therapeutic efficacy. This review elucidates the physiochemical features of hydrogels, systematically classifying hydrogel-based neuromodulation into five distinct modes (electrical, ionic, biomechanical, optical, and biochemical) and highlighting the intrinsic multidimensional structural and chemical engineering employed to enhance neuromodulatory performance. Key principles of hydrogel design and fabrication are provided from the perspective of tissue–implant interactions, such as mechanical compatibility, electrointegration, adhesion, and wireless activation. Hydrogels embedded with low-impedance organic and inorganic components, such as conductive polymers and noble metals, are investigated to provide high-level evidence to enable precise cellular stimulation for intrinsic nerve repair, neural prosthesis, and brain–machine interface. Crucially, this review highlights the synergistic integration of these principles into multimodal, closed-loop systems, which combine functions like electrophysiological sensing with on-demand biochemical release for intelligent, autonomous therapies. Finally, this review confronts the critical challenges for clinical translation and discusses future directions, including the potential of artificial intelligence-driven materials design to accelerate the development of next-generation neural interfaces.
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Accepted/In Press date: 21 August 2025
e-pub ahead of print date: 31 August 2025
Published date: 1 September 2025
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Local EPrints ID: 508407
URI: http://eprints.soton.ac.uk/id/eprint/508407
ISSN: 2576-6422
PURE UUID: cfbb022d-da6b-4cdb-9a3c-91051906cc60
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Date deposited: 20 Jan 2026 18:01
Last modified: 20 Jan 2026 18:01
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Contributors
Author:
Yanming Zhao
Author:
Rujie Sun
Author:
Zitian Wang
Author:
Shaohua Ma
Author:
Runming Wang
Author:
Fieran Li
Author:
Hongya Geng
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