Evidence map›Paper›PMID 41105712›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Engineered 3D immuno-glial-neurovascular human miBrain model.

Alice E Stanton, Adele Bubnys, Emre Agbas, Benjamin James, Dong Shin Park, Alan Jiang, Rebecca L Pinals, Liwang Liu, Nhat Truong, Anjanet Loon and 10 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. Advances in three-dimensional modeling of ischemic injury.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  20. Biochemistry and biophysics reports · 2026
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Alice E Stanton *Koch Institute, Massachusetts Institute of Technology, Cambridge, MA 02139.
Adele Bubnys *Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Emre AgbasPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Benjamin JamesDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139.
Dong Shin ParkPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Alan JiangPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Rebecca L PinalsPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Liwang LiuPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Nhat TruongPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Anjanet LoonPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Colin StaabPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Oyku CeritPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Hsin-Lan WenPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139.
David MankusKoch Institute, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0002-9979-7608
Margaret E BisherKoch Institute, Massachusetts Institute of Technology, Cambridge, MA 02139.
Abigail K R Lytton-JeanKoch Institute, Massachusetts Institute of Technology, Cambridge, MA 02139.
Manolis KellisDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0001-7113-9630
Joel W BlanchardPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Robert LangerKoch Institute, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0003-4255-0492
Li-Huei TsaiPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0003-1262-0592

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Jacqueline A. Lees · 1985 to 2026
$93.9M
Construction of an Integrated Immune-Vascular Brain - Chip as a Platform for the Study, Drug Screening, and Treatments of Alzheimer's DiseaseUH3NS115064 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BLANCHARD, JOEL WILLIAM, KELLIS, MANOLIS · 2021 to 2023
$3.5M
Construction of an integrated immune - vascular brain - chip as a platform for the study, drug screening, and treatments of Alzheimer's diseaseUG3NS115064 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BLANCHARD, JOEL WILLIAM, KELLIS, MANOLIS · 2019 to 2020
$2.5M
Engineering Immuno-Glial-Neurovascular 3D-Brain-Chips with a Perfusable BBB for Accelerating Alzheimer’s Disease Drug Discovery and TranslationK01AG083734 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI STANTON, ALICE · 2023 to 2025
$490k
Engineering a Vascularized Brain-Chip for Probing and Evaluating Mechanisms of Alzheimer’s DiseaseF32AG072813 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI STANTON, ALICE · 2021 to 2022
$134k
BT Charitable Foundation BT Charitable FoundationHHS | NIH | National Cancer Institute (NCI) P30-CA14051HHS | NIH (NIH) 1F32AG072813-01HHS | NIH (NIH) 1K01AG083734-01HHS | NIH (NIH) 3-UG3-NS115064-01S1Kavanaugh Fellowship 2176252NCI NIH HHS P30 CA014051NIA NIH HHS F32 AG072813NIA NIH HHS K01 AG083734NINDS NIH HHS UG3 NS115064NINDS NIH HHS UH3 NS115064Picower Fellowship Picower FellowshipSchmidt Science Fellows in partnership with the Rhodes Trust Schmidt Science Fellows in partnership with the Rhodes Trust
6 · The paper itself

Abstract

Patient-specific, human-based cellular models integrating a biomimetic blood-brain barrier, immune, and myelinated neuron components are critically needed to enable accelerated, translationally relevant discovery of neurological disease mechanisms and interventions. To construct a human cell-based model that includes these features and all six major brain cell types needed to mimic disease and dissect pathological mechanisms, we have constructed, characterized, and utilized a multicellular integrated brain (miBrain) immuno-glial-neurovascular model by engineering a brain-inspired 3D hydrogel and identifying conditions to coculture these six brain cell types, all differentiated from patient induced pluripotent stem cells. miBrains recapitulate in vivo

Indexed as

BrainModels, BiologicalNeurogliaAlzheimer DiseaseAstrocytesBlood-Brain BarrierCell DifferentiationCoculture TechniquesHumansInduced Pluripotent Stem CellsNeuronsOligodendrogliabiomaterialsbrain organoidmicrophysiological systemneuro-immuneneurovascular

Identifiers

PMID41105712
PMCPMC12557797

What OpenQuestion holds

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Registered trials

None linked

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.