journal article·2026-03Open access

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

Martina Genta, Sofia Peressotti, Roberto Portillo‐Lara, Josef Goding, Rylie Green

Advanced Functional Materials· Volume 36· Issue 23

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Neuroscience and Neural Engineering · Hydrogels: synthesis, properties, applications · 3D Printing in Biomedical Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Bioengineering Department Imperial College London London SW7 2AZ UK

Psychiatry and Fundamental Neuroscience Department University of Geneva Geneva 1202 Switzerland

Funding

H2020 European Research Council

References (100+)

Show source-provided references
1. 10.1002/adma.20220186410.1002/adma.202201864 ↗
2. 10.1088/1748-605X/ad1f7810.1088/1748-605X/ad1f78 ↗
3. 10.1016/j.copbio.2021.10.00410.1016/j.copbio.2021.10.004 ↗
4. 10.1039/D3CC05006H10.1039/D3CC05006H ↗
5. 10.3389/fnins.2017.0049710.3389/fnins.2017.00497 ↗
6. 10.1002/adhm.20190055810.1002/adhm.201900558 ↗
7. 10.3389/fbioe.2021.65903310.3389/fbioe.2021.659033 ↗
8. 10.3389/fnins.2017.0066510.3389/fnins.2017.00665 ↗
9. 10.1038/s41467-025-57016-010.1038/s41467-025-57016-0 ↗
10. Boulingre M. · 2025
11. 10.1557/mrc.2017.4410.1557/mrc.2017.44 ↗
12. 10.1002/adfm.20170296910.1002/adfm.201702969 ↗
13. 10.1002/adma.20190318210.1002/adma.201903182 ↗
14. 10.1016/j.biotechadv.2019.03.00910.1016/j.biotechadv.2019.03.009 ↗
15. 10.1016/j.stem.2022.03.01310.1016/j.stem.2022.03.013 ↗
16. 10.1098/rsif.2019.050510.1098/rsif.2019.0505 ↗
17. 10.1002/jbm.b.3100010.1002/jbm.b.31000 ↗
18. 10.1038/s41551-017-0154-110.1038/s41551-017-0154-1 ↗
19. 10.3389/fnins.2019.0026910.3389/fnins.2019.00269 ↗
20. 10.1038/s41586-020-2612-210.1038/s41586-020-2612-2 ↗
21. 10.1038/s41598-019-40128-110.1038/s41598-019-40128-1 ↗
22. 10.1016/B978-0-444-63486-3.00007-410.1016/B978-0-444-63486-3.00007-4 ↗
23. 10.1101/cshperspect.a00505810.1101/cshperspect.a005058 ↗
24. 10.1016/j.bbagen.2017.06.01010.1016/j.bbagen.2017.06.010 ↗
25. 10.3389/fncel.2022.102275410.3389/fncel.2022.1022754 ↗
26. 10.1038/nrn348410.1038/nrn3484 ↗
27. 10.1002/stem.306010.1002/stem.3060 ↗
28. 10.3389/fcell.2023.106384310.3389/fcell.2023.1063843 ↗
29. 10.1016/j.scr.2011.03.00410.1016/j.scr.2011.03.004 ↗
30. 10.1002/adhm.20150075710.1002/adhm.201500757 ↗
31. 10.1038/s41427-021-00304-010.1038/s41427-021-00304-0 ↗
32. 10.1002/adhm.20190141910.1002/adhm.201901419 ↗
33. 10.4103/1673-5374.29706610.4103/1673-5374.297066 ↗
34. 10.1177/109158181773942810.1177/1091581817739428 ↗
35. 10.1002/cpcb.9510.1002/cpcb.95 ↗
36. 10.3389/fnagi.2022.84453410.3389/fnagi.2022.844534 ↗
37. 10.1186/s12974-020-01819-z10.1186/s12974-020-01819-z ↗
38. 10.1177/204173142096398110.1177/2041731420963981 ↗
39. 10.3390/ijms23211311610.3390/ijms232113116 ↗
40. 10.1088/1741-2552/ab7cfc10.1088/1741-2552/ab7cfc ↗
41. 10.3389/fbioe.2020.60170410.3389/fbioe.2020.601704 ↗
42. 10.1002/marc.20180018110.1002/marc.201800181 ↗
43. 10.1039/D4TB02651A10.1039/D4TB02651A ↗
44. 10.3389/fcell.2021.66579510.3389/fcell.2021.665795 ↗
45. 10.1186/s13064-018-0104-y10.1186/s13064-018-0104-y ↗
46. BioRender https://app.biorender.com/ (accessed: October 2025).
47. 10.1002/polb.2455810.1002/polb.24558 ↗
48. 10.1039/C4BM00070F10.1039/C4BM00070F ↗
49. 10.1002/mabi.20230037110.1002/mabi.202300371 ↗
50. 10.1002/adhm.20210020610.1002/adhm.202100206 ↗
51. 10.1002/adma.20170556410.1002/adma.201705564 ↗
52. 10.1021/acsbiomaterials.6b0014910.1021/acsbiomaterials.6b00149 ↗
53. 10.1002/marc.20120060510.1002/marc.201200605 ↗
54. 10.1016/j.jconrel.2020.12.03710.1016/j.jconrel.2020.12.037 ↗
55. Gentry J. L. · Adv. Healthcare Mater. · 2025
56. 10.1038/s41392-024-01852-x10.1038/s41392-024-01852-x ↗
57. 10.1016/j.bcp.2008.07.02310.1016/j.bcp.2008.07.023 ↗
58. 10.1038/cddis.2014.58310.1038/cddis.2014.583 ↗
59. 10.1016/j.pmatsci.2020.10073810.1016/j.pmatsci.2020.100738 ↗
60. 10.1016/j.biomaterials.2017.11.00410.1016/j.biomaterials.2017.11.004 ↗
61. 10.1016/j.toxrep.2020.12.01410.1016/j.toxrep.2020.12.014 ↗
62. 10.1016/j.proeng.2017.07.05310.1016/j.proeng.2017.07.053 ↗
63. 10.1002/jbm.b.3032410.1002/jbm.b.30324 ↗
64. 10.3389/fbioe.2017.0006910.3389/fbioe.2017.00069 ↗
65. 10.1007/s00289-019-03092-410.1007/s00289-019-03092-4 ↗
66. 10.1021/acs.biomac.1c0071910.1021/acs.biomac.1c00719 ↗
67. 10.1002/mabi.20130041810.1002/mabi.201300418 ↗
68. 10.3389/fnana.2018.0010410.3389/fnana.2018.00104 ↗
69. 10.1016/j.biomaterials.2016.03.01110.1016/j.biomaterials.2016.03.011 ↗
70. 10.1038/s41598-018-37186-210.1038/s41598-018-37186-2 ↗
71. 10.1021/acsbiomaterials.1c0003010.1021/acsbiomaterials.1c00030 ↗
72. 10.1038/ncomms179210.1038/ncomms1792 ↗
73. 10.1080/09205063.2017.129728510.1080/09205063.2017.1297285 ↗
74. 10.1557/s43577-023-00536-110.1557/s43577-023-00536-1 ↗
75. 10.1038/nmat448910.1038/nmat4489 ↗
76. 10.1016/j.stem.2020.08.00510.1016/j.stem.2020.08.005 ↗
77. 10.1021/acs.biomac.0c0147610.1021/acs.biomac.0c01476 ↗
78. 10.1016/j.actbio.2021.10.05310.1016/j.actbio.2021.10.053 ↗
79. 10.1002/nbm.125410.1002/nbm.1254 ↗
80. 10.4103/1673-5374.14342110.4103/1673-5374.143421 ↗
81. 10.1002/smll.20180086310.1002/smll.201800863 ↗
82. 10.1186/s12938-019-0694-610.1186/s12938-019-0694-6 ↗
83. 10.1016/j.pneurobio.2014.11.00310.1016/j.pneurobio.2014.11.003 ↗
84. 10.3389/fnmol.2017.0008810.3389/fnmol.2017.00088 ↗
85. 10.1242/dev.13065810.1242/dev.130658 ↗
86. 10.1016/j.brainresbull.2017.01.02710.1016/j.brainresbull.2017.01.027 ↗
87. 10.1111/jnc.1518510.1111/jnc.15185 ↗
88. 10.1016/j.actbio.2024.09.04810.1016/j.actbio.2024.09.048 ↗
89. 10.1002/adhm.20190107210.1002/adhm.201901072 ↗
90. 10.1080/14686996.2023.216587110.1080/14686996.2023.2165871 ↗
91. 10.1002/sctm.19-015910.1002/sctm.19-0159 ↗
92. 10.1021/acsabm.3c0126610.1021/acsabm.3c01266 ↗
93. 10.1021/acsomega.3c0376910.1021/acsomega.3c03769 ↗
94. 10.1016/j.semcdb.2007.06.00310.1016/j.semcdb.2007.06.003 ↗
95. 10.1002/jnr.2127310.1002/jnr.21273 ↗
96. 10.1016/j.actbio.2018.01.02510.1016/j.actbio.2018.01.025 ↗
97. 10.1111/nyas.1500410.1111/nyas.15004 ↗
98. 10.1002/glia.2268310.1002/glia.22683 ↗
99. 10.1016/j.conb.2018.10.00210.1016/j.conb.2018.10.002 ↗
100. 10.1021/ma302522x10.1021/ma302522x ↗