Evidence map›Paper›PMID 36642841›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

The Impact of the Cellular Environment and Aging on Modeling Alzheimer's Disease in 3D Cell Culture Models.

Matthias Hebisch, Stefanie Klostermeier, Katharina Wolf, Aldo R Boccaccini, Stephan E Wolf, Rudolph E Tanzi, Doo Yeon Kim

Open access · goldFull text readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  4. Cutting-edge technologies in neural regeneration.Cell regeneration (London, England) · 2025
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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

7 authors at 2 institutions in 2 countries.

Matthias HebischGenetics and Aging Research Unit, McCance Center for Brain health, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.ORCID 0000-0001-6582-4156
Stefanie KlostermeierInstitute of Medical Physics, Friedrich-Alexander Universität Erlangen-Nürnberg, 91052, Erlangen, Germany.
Katharina WolfDepartment of Medicine 1, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany.
Aldo R BoccacciniInstitute of Biomaterials, Department of Materials Science and Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.ORCID 0000-0002-7377-2955
Stephan E WolfInstitute of Glass and Ceramics, Department of Materials Science and Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.ORCID 0000-0002-3747-8097
Rudolph E TanziGenetics and Aging Research Unit, McCance Center for Brain health, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.
Doo Yeon KimGenetics and Aging Research Unit, McCance Center for Brain health, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.ORCID 0000-0002-6969-0340
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEMassachusetts General Hospital · US

Funding

The impact of AD-associated genetic variants in 3D human mixed neural-glial models of ADR01AG061891 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI KIM, DOO YEON, TANZI, RUDOLPH EMILE · 2019 to 2023
$3.8M
Systematic Alzheimer's disease drug repositioning (SMART) based on bioinformatics-guided phenotype screening and image-omicsR01AG057635 · NIA · METHODIST HOSPITAL RESEARCH INSTITUTE · PI WONG, STEPHEN TC · 2018 to 2022
$3.5M
The Alzheimer's Disease Resiliome: Pathway Analysis and Drug Discovery.R01AG062547 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HIDE, WINSTON ALEXANDER, KIM, DOO YEON · 2019 to 2023
$3.3M
NIA NIH HHS R01 AG057635NIA NIH HHS R01 AG061891NIA NIH HHS R01 AG062547
6 · The paper itself

Abstract

Creating a cellular model of Alzheimer's disease (AD) that accurately recapitulates disease pathology has been a longstanding challenge. Recent studies showed that human AD neural cells, integrated into three-dimensional (3D) hydrogel matrix, display key features of AD neuropathology. Like in the human brain, the extracellular matrix (ECM) plays a critical role in determining the rate of neuropathogenesis in hydrogel-based 3D cellular models. Aging, the greatest risk factor for AD, significantly alters brain ECM properties. Therefore, it is important to understand how age-associated changes in ECM affect accumulation of pathogenic molecules, neuroinflammation, and neurodegeneration in AD patients and in vitro models. In this review, mechanistic hypotheses is presented to address the impact of the ECM properties and their changes with aging on AD and AD-related dementias. Altered ECM characteristics in aged brains, including matrix stiffness, pore size, and composition, will contribute to disease pathogenesis by modulating the accumulation, propagation, and spreading of pathogenic molecules of AD. Emerging hydrogel-based disease models with differing ECM properties provide an exciting opportunity to study the impact of brain ECM aging on AD pathogenesis, providing novel mechanistic insights. Understanding the role of ECM aging in AD pathogenesis should also improve modeling AD in 3D hydrogel systems.

Indexed as

Alzheimer DiseaseAgedAgingBrainCell Culture Techniques, Three DimensionalHumansHydrogelsHydrogelsAlzheimerhydrogelneurodegenerationnonclassical crystallizationsynthetic extracellular matrix

Identifiers

PMID36642841
PMCPMC10015857
OpenAlexW4316362780

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read6
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 OpenQuestion graph.