Evidence map›Paper›PMID 41753855›Full record

ArticleMicromachines2026

Nervous System-on-Chip: Innovative Microfluidic Platform to Compartmentalize hiPSC-Derived Neural Networks.

Rahman Sabahi-Kaviani, Antigoni Gogolou, Celine Souilhol, Mark van der Kroeg, Steven A Kushner, Femke M S de Vrij, Anestis Tsakiridis, Regina Luttge

Abstract read
In one paragraph

Article in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rahman Sabahi-KavianiNeuro-Nanoscale Engineering, Department of Mechanical Engineering/Microsystems and Institute of Complex Molecular Systems, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands.ORCID 0000-0003-3534-7218
Antigoni GogolouCentre for Stem Cell Biology, School of Biosciences, The University of Sheffield, Western Bank, Sheffield S10 2TN, UK.ORCID 0000-0002-3581-2426
Celine SouilholCentre for Stem Cell Biology, School of Biosciences, The University of Sheffield, Western Bank, Sheffield S10 2TN, UK.
Mark van der KroegDepartment of Psychiatry, Erasmus MC, University Medical Center, 3015 GD Rotterdam, The Netherlands.ORCID 0000-0001-5517-3687
Steven A KushnerDepartment of Psychiatry, Erasmus MC, University Medical Center, 3015 GD Rotterdam, The Netherlands.ORCID 0000-0002-9777-3338
Femke M S de VrijDepartment of Psychiatry, Erasmus MC, University Medical Center, 3015 GD Rotterdam, The Netherlands.ORCID 0000-0003-0825-3806
Anestis TsakiridisCentre for Stem Cell Biology, School of Biosciences, The University of Sheffield, Western Bank, Sheffield S10 2TN, UK.ORCID 0000-0002-2184-2990
Regina LuttgeNeuro-Nanoscale Engineering, Department of Mechanical Engineering/Microsystems and Institute of Complex Molecular Systems, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands.ORCID 0000-0002-8486-5866

Funding

European Union's Horizon 2020 Research And Innovation Programme H2020-FETPROACT-2018-01 824070Health~Holland, Top Sector Life Sciences & Health LSHM19006Netherlands Organ-on-Chip Initiative 024.003.001ZonMW PSIDER program TAILORED 10250022110002
6 · The paper itself

Abstract

This study presents the development of a Nervous System-on-Chip (NoC) using microfabrication techniques, focusing on the integration of human induced pluripotent stem cell (hiPSC)-derived neurons. We designed and fabricated NoCs based on microtunnel devices (MDs) with radial and linear configurations to facilitate the compartmentalized culture of cortical and enteric neural networks. Our findings demonstrate that these MDs allow axonal growth while restricting migration of somas and dendrites between compartments, thereby promoting the formation of organized neural networks. This creates a microfluidic platform capable of supporting the growth of different culture systems, which could potentially be combined to study interactions between the central and enteric nervous systems. The resulting neuronal networks exhibited viability, expression of key lineage markers, and synapse formation, highlighting the platform's potential for advanced nervous system modeling. MD-based NoC models provide an innovative microfluidic platform for studying the biology of human neural networks, with implications for the investigation of neurodegenerative diseases such as Parkinson's Disease and applications in pre-clinical research.

Indexed as

biomaterialscortical neural networksdifferentiationenteric neural networkshuman induced pluripotent stem cells (hiPSCs)microtunnel devices (MDs)nanogroovesnervous system-on-chips (NoCs)

Identifiers

PMID41753855
PMCPMC12942585

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.