Astrocyte‐Guided Maturation of Neural Constructs in a Modular Biosynthetic Hydrogel for Biohybrid Neurotechnologies

Abstract Bionic implants are increasingly used to restore neural function yet, achieving a chronically stable neural interface remains challenging. Biohybrid neurotechnologies aim to overcome this limitation by integrating living tissue or other biological components that can promote long‐term performance and functional integration with the nervous system. However, existing living biomaterial coatings often lack the physiological complexity, cellular heterogeneity, and neurotrophic support required to sustain neural network formation. Here, a modular strategy is presented which leverages astrocyte‐guided mechanisms of neural network development. A biosynthetic hydrogel is developed using norbornene‐functionalized poly(vinyl alcohol) and gelatin (PVA‐GEL), crosslinked via visible light‐triggered thiol‐ene chemistry, to yield bioactive and highly tunable scaffolds. A systematic characterization varying gelatin content and polymer weight enables the identification an optimal formulation to promote astrocytic growth, while maintaining mechanical stability and degradation profiles that are compatible with brain implants. Co‐encapsulation with neural progenitors promotes neuronal differentiation, neurite outgrowth, and the formation of synaptically competent networks. The construct develops into functional interfaces when in contact with brain tissue ex vivo, highlighting its potential as a biohybrid electrode coating. This work lays the foundation for the development of biologically guided biohybrid interfaces, toward seamless integration with the nervous system.

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Publication Details

Journal
Advanced Functional Materials
Published
2025-11-05
DOI
https://doi.org/10.1002/adfm.202522306
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
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article

Astrocyte‐Guided Maturation of Neural Constructs in a Modular Biosynthetic Hydrogel for Biohybrid Neurotechnologies

Rylie A. Green, Roberto Portillo‐Lara, Sofia Peressotti, Josef Goding et al.
Advanced Functional Materials
Neuroscience and Neural Engineering
article

Astrocyte‐Guided Maturation of Neural Constructs in a Modular Biosynthetic Hydrogel for Biohybrid Neurotechnologies

Rylie A. Green, Roberto Portillo‐Lara, Sofia Peressotti, Josef Goding, Martina Genta
article en

Abstract

Abstract Bionic implants are increasingly used to restore neural function yet, achieving a chronically stable neural interface remains challenging. Biohybrid neurotechnologies aim to overcome this limitation by integrating living tissue or other biological components that can promote long‐term performance and functional integration with the nervous system. However, existing living biomaterial coatings often lack the physiological complexity, cellular heterogeneity, and neurotrophic support required to sustain neural network formation. Here, a modular strategy is presented which leverages astrocyte‐guided mechanisms of neural network development. A biosynthetic hydrogel is developed using norbornene‐functionalized poly(vinyl alcohol) and gelatin (PVA‐GEL), crosslinked via visible light‐triggered thiol‐ene chemistry, to yield bioactive and highly tunable scaffolds. A systematic characterization varying gelatin content and polymer weight enables the identification an optimal formulation to promote astrocytic growth, while maintaining mechanical stability and degradation profiles that are compatible with brain implants. Co‐encapsulation with neural progenitors promotes neuronal differentiation, neurite outgrowth, and the formation of synaptically competent networks. The construct develops into functional interfaces when in contact with brain tissue ex vivo, highlighting its potential as a biohybrid electrode coating. This work lays the foundation for the development of biologically guided biohybrid interfaces, toward seamless integration with the nervous system.

Advanced Functional MaterialsVol. 36(23)
University of Geneva (CH), University Hospital of Geneva (CH), Imperial College London (GB)
Openalex Percentile: Top 64%
Neuroscience and Neural Engineering
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