Reducing foreign body reaction via neural interfaces coated with iPSC-derived neuronal membranes

Abstract Advancements in neural interfaces have been hindered by the foreign body reaction (FBR), which drives inflammation and fibrotic encapsulation of implanted probes, limiting long-term performance. Biomimetic strategies that better match biological form and mechanics have recently emerged to address this challenge. Here, we mitigate FBR by incorporating human iPSC-derived neuronal membranes as biological mediators between device and host tissue, reducing inflammation and fibrosis while improving long-term stability and signal quality. We integrate flexible electronics with bioengineering to extract and assemble human iPSC-derived neuronal membranes, first characterizing their structural integrity and electrical sealing properties in vitro. In vivo experiments in rats show that subdurally implanted membrane-based biohybrid neural interfaces significantly reduce FBR at day 28 compared to controls, while preserving high signal-to-noise ratios. Moreover, chronic recordings in freely moving, awake animals demonstrate stable single-neuron activity for up to two months. The neuronal lipid layer provides a controlled increase in impedance while enabling reliable long-term recording stability. These results highlight the promise of cell-derived, cell-free biohybrid neural interfaces to enhance implant integration and function. Modulating membrane lipid and protein composition may further enable tailoring to specific anatomical and pathological contexts.

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Publication Details

Journal
Communications Materials
Published
2026-07-02
DOI
https://doi.org/10.1038/s43246-026-01226-6
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Reducing foreign body reaction via neural interfaces coated with iPSC-derived neuronal membranes

Chaeyeon Lee, George G. Malliaras, Amy Jin, Nataly Hastings et al.
Communications Materials
Neuroscience and Neural Engineering
article

Reducing foreign body reaction via neural interfaces coated with iPSC-derived neuronal membranes

Chaeyeon Lee, George G. Malliaras, Amy Jin, Nataly Hastings, Alejandro Carnicer‐Lombarte, Sam Hilton, Moleca M. Ghannam, Zixuan Lu, Damiano G. Barone, Róisı́n M. Owens, Malak Kawan, Salim El Hadwe, Sagnik Middya, Margaux O. A. Forner, Sydney Swedick, Mark N. Kotter
article en

Abstract

Abstract Advancements in neural interfaces have been hindered by the foreign body reaction (FBR), which drives inflammation and fibrotic encapsulation of implanted probes, limiting long-term performance. Biomimetic strategies that better match biological form and mechanics have recently emerged to address this challenge. Here, we mitigate FBR by incorporating human iPSC-derived neuronal membranes as biological mediators between device and host tissue, reducing inflammation and fibrosis while improving long-term stability and signal quality. We integrate flexible electronics with bioengineering to extract and assemble human iPSC-derived neuronal membranes, first characterizing their structural integrity and electrical sealing properties in vitro. In vivo experiments in rats show that subdurally implanted membrane-based biohybrid neural interfaces significantly reduce FBR at day 28 compared to controls, while preserving high signal-to-noise ratios. Moreover, chronic recordings in freely moving, awake animals demonstrate stable single-neuron activity for up to two months. The neuronal lipid layer provides a controlled increase in impedance while enabling reliable long-term recording stability. These results highlight the promise of cell-derived, cell-free biohybrid neural interfaces to enhance implant integration and function. Modulating membrane lipid and protein composition may further enable tailoring to specific anatomical and pathological contexts.

Communications Materials
City University of Hong Kong (HK), University of Cambridge (GB), Methodist Hospital (US), Babraham Bioscience Technologies (United Kingdom) (GB), Rice University (US)
Gates Cambridge Trust
Openalex Percentile: Top 11%
Neuroscience and Neural Engineering
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