Recent advances in 3D bioprinted neural models: A systematic review on the applications to drug discovery

dc.contributor.authorOrr, Amanda
dc.contributor.authorKalantarnia, Farnoosh
dc.contributor.authorNazir, Shama
dc.contributor.authorBolandi, Behzad
dc.contributor.authorAlderson, Dominic
dc.contributor.authorO'Grady, Kerrin
dc.contributor.authorHoorfar, Mina
dc.contributor.authorJulian,Lisa M.
dc.contributor.authorWillerth, Stephanie M.
dc.date.accessioned2026-03-12T21:25:32Z
dc.date.available2026-03-12T21:25:32Z
dc.date.issued2025
dc.description.abstractThe design of neural tissue models with architectural and biochemical relevance to native tissues opens the way for the fundamental study and development of therapies for many disorders with limited treatment options. Here, we systematically review the most recent literature on 3D bioprinted neural models, including their potential for use in drug screening. Neural tissues that model the central nervous system (CNS) from the relevant literature are reviewed with comprehensive summaries of each study, and discussion of the model types, bioinks and additives, cell types used, bioprinted construct shapes and culture time, and the characterization methods used. In this review, we accentuate the lack of standardization among characterization methods to analyze the functionality (including chemical, metabolic and other pathways) and mechanical relevance of the 3D bioprinted constructs, and discuss this as a critical area for future exploration. These gaps must be addressed for this technology to be applied for effective drug screening applications, despite its enormous potential for rapid and efficient drug screening. The future of biomimetic, 3D printed neural tissues is promising and evaluation of the in vivo relevance on multiple levels should be sought to adequately compare model performance and develop viable treatment options for neurodegenerative diseases, or other conditions that affect the CNS.
dc.description.reviewstatusReviewed
dc.description.scholarlevelFaculty
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada
dc.identifier.citationOrr, A., Kalantarnia, F., Nazir, S., Bolandi, B., Alderson, D., O'Grady, K., Hoorfar, M., Julian, L. M., & Willerth, S. M. (2025). Recent advances in 3D bioprinted neural models: A systematic review on the applications to drug discovery. Advanced Drug Delivery Reviews, 218, 115524. https://doi.org/10.1016/j.addr.2025.115524
dc.identifier.urihttps://doi.org/10.1016/j.addr.2025.115524
dc.identifier.urihttps://hdl.handle.net/1828/23488
dc.language.isoen
dc.publisherAdvanced Drug Delivery Reviews
dc.rightsCC BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCentre for Advanced Materials and Related Technology (CAMTEC)
dc.subjectneural tissue engineering
dc.subject3D bioprinting
dc.subjectstandardized 3D model characterization
dc.subjectcellular characterization
dc.subjectfunctional brain tissues
dc.subjectmechanical characterization
dc.subjectdrug discovery
dc.subjecthuman induced pluripotent stem cells
dc.subjectneurodegenerative disease
dc.subjectneural progenitor cells
dc.subjectneural stem cells
dc.subjectconstruct culture
dc.subjectbioinks
dc.subjectconstruct geometry
dc.subject.departmentDepartment of Mechanical Engineering
dc.subject.departmentDivision of Medical Sciences
dc.subject.departmentSchool of Medical Sciences
dc.titleRecent advances in 3D bioprinted neural models: A systematic review on the applications to drug discovery
dc.typeArticle

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
orr_amanda_advDrugDelivRev_2025.pdf
Size:
7.59 MB
Format:
Adobe Portable Document Format