Evidence map›Paper›PMID 32065736›Full record

ArticleMacromolecular bioscience2020

A Long-Living Bioengineered Neural Tissue Platform to Study Neurodegeneration.

Nicolas Rouleau, William L Cantley, Volha Liaudanskaya, Alexander Berk, Chuang Du, William Rusk, Emily Peirent, Cole Koester, Thomas J F Nieland, David L Kaplan

Open access · greenAbstract read
In one paragraph

Article in Macromolecular bioscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% of its field
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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Advances in Engineering Human Tissue Models.Frontiers in bioengineering and biotechnology · 2020
    Pooled it
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  13. A Hierarchical Mechanotransduction System: From Macro to Micro.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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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

10 authors at 1 institution in 1 country.

Nicolas RouleauDepartment of Biomedical Engineering, School of Engineering, Tufts University, Science & Technology Center, 4 Colby Street, Medford, MA, 02155, USA.
William L CantleyDepartment of Biomedical Engineering, School of Engineering, Tufts University, Science & Technology Center, 4 Colby Street, Medford, MA, 02155, USA.
Volha LiaudanskayaDepartment of Biomedical Engineering, School of Engineering, Tufts University, Science & Technology Center, 4 Colby Street, Medford, MA, 02155, USA.
Alexander BerkDepartment of Biomedical Engineering, School of Engineering, Tufts University, Science & Technology Center, 4 Colby Street, Medford, MA, 02155, USA.
Chuang DuDepartment of Biomedical Engineering, School of Engineering, Tufts University, Science & Technology Center, 4 Colby Street, Medford, MA, 02155, USA.
William RuskDepartment of Biomedical Engineering, School of Engineering, Tufts University, Science & Technology Center, 4 Colby Street, Medford, MA, 02155, USA.
Emily PeirentDepartment of Biomedical Engineering, School of Engineering, Tufts University, Science & Technology Center, 4 Colby Street, Medford, MA, 02155, USA.
Cole KoesterDepartment of Biomedical Engineering, School of Engineering, Tufts University, Science & Technology Center, 4 Colby Street, Medford, MA, 02155, USA.
Thomas J F NielandDepartment of Biomedical Engineering, School of Engineering, Tufts University, Science & Technology Center, 4 Colby Street, Medford, MA, 02155, USA.
David L KaplanDepartment of Biomedical Engineering, School of Engineering, Tufts University, Science & Technology Center, 4 Colby Street, Medford, MA, 02155, USA.ORCID 0000-0002-9245-7774
Tufts University · US

Funding

Translational Bioreactors - Engineering Complex TissuesP41EB002520 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L. · 2004 to 2018
$16.7M
Functional three dimensional brain-like tissues to study mechanisms of traumatic brain injuryR01NS092847 · NINDS · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L. · 2015 to 2019
$1.8M
Acquisition of Leica confocal/multiphoton microscopeS10OD021624 · OD · TUFTS UNIVERSITY MEDFORD · PI GEORGAKOUDI, IRENE · 2016 to 2016
$600k
NIBIB NIH HHS P41 EB002520NIH HHS S10 OD021624NINDS NIH HHS R01 NS092847
6 · The paper itself

Abstract

The prevalence of dementia and other neurodegenerative diseases continues to rise as age demographics in the population shift, inspiring the development of long-term tissue culture systems with which to study chronic brain disease. Here, it is investigated whether a 3D bioengineered neural tissue model derived from human induced pluripotent stem cells (hiPSCs) can remain stable and functional for multiple years in culture. Silk-based scaffolds are seeded with neurons and glial cells derived from hiPSCs supplied by human donors who are either healthy or have been diagnosed with Alzheimer's disease. Cell retention and markers of stress remain stable for over 2 years. Diseased samples display decreased spontaneous electrical activity and a subset displays sporadic-like indicators of increased pathological β-amyloid and tau markers characteristic of Alzheimer's disease with concomitant increases in oxidative stress. It can be concluded that the long-term stability of the platform is suited to study chronic brain disease including neurodegeneration.

Indexed as

Models, BiologicalAlzheimer DiseaseAmyloid beta-PeptidesHumansInduced Pluripotent Stem CellsSilktau ProteinsTissue ScaffoldsAmyloid beta-PeptidesMAPT protein, humanSilktau ProteinsAlzheimer's diseasebioengineeringbiomaterialsinduced pluripotent stem cellsneurodegeneration

Identifiers

PMID32065736
PMCPMC7292623
OpenAlexW3008263712

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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 Socratic graph.