ReviewBrain research2017
Induced pluripotent stem cells as a discovery tool for Alzheimer׳s disease.
Review in Brain research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Discovery of a CI-994 derivative as a dual modulator of class I HDACs and Wnt/β- catenin signaling for Alzheimer's disease therapy.bioRxiv : the preprint server for biology · 2026Article
- The complete genome of the KOLF2.1J reference iPSC line.bioRxiv : the preprint server for biology · 2026Article
- CI-994 is a dual modulator of class I HDACs and Wnt/β-catenin signaling for the treatment of Alzheimer's disease.Alzheimer's research & therapy · 2026Article
- APOE4 differentially alters lipid composition in extracellular vesicles from hiPSC-derived neurons of Alzheimer's disease patients.Frontiers in pharmacology · 2026Article
- Elevated p16Ink4a Expression Enhances Tau Phosphorylation in Neurons Differentiated From Human-Induced Pluripotent Stem Cells.Aging cell · 2025Article
- A Comprehensive Review on Preclinical Alzheimer's Disease Models: Evaluating their Clinical Relevance.Current pharmaceutical biotechnology · 2025Review
- Cell subtype-specific effects of genetic variation in the Alzheimer's disease brain.Nature genetics · 2024Article
- Immortalized hippocampal astrocytes from 3xTg-AD mice, a new model to study disease-related astrocytic dysfunction: a comparative review.Neural regeneration research · 2023Review
- Cell models for Down syndrome-Alzheimer's disease research.Neuronal signaling · 2022Review
- Lipid Nanocarriers Overlaid with Chitosan for Brain Delivery of Berberine via the Nasal Route.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Human iPSC-Derived Neural Models for Studying Alzheimer's Disease: from Neural Stem Cells to Cerebral Organoids.Stem cell reviews and reports · 2022Review
- Mitochondrial Alterations in Neurons Derived from the Murine AppNL-F Knock-In Model of Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2022Article
- Matrix Metalloproteinase 14 Mediates APP Proteolysis and Lysosomal Alterations Induced by Oxidative Stress in Human Neuronal Cells.Oxidative medicine and cellular longevity · 2020Article
- The Role of P2X7 Receptor in Alzheimer's Disease.Frontiers in molecular neuroscience · 2020Review
- Metabolomic profiles of induced pluripotent stem cells derived from patients with rheumatoid arthritis and osteoarthritis.Stem cell research & therapy · 2019Article
- Modelling mitochondrial dysfunction in Alzheimer's disease using human induced pluripotent stem cells.World journal of stem cells · 2019Review
- Candidate-based screening via gene modulation in human neurons and astrocytes implicates FERMT2 in Aβ and TAU proteostasis.Human molecular genetics · 2019Article
- Recent Expansions on Cellular Models to Uncover the Scientific Barriers Towards Drug Development for Alzheimer's Disease.Cellular and molecular neurobiology · 2019Review
- Important advances in Alzheimer's disease from the use of induced pluripotent stem cells.Journal of biomedical science · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The ability to accurately and systematically evaluate the cellular mechanisms underlying human neurodegenerative disorders such as Alzheimer׳s disease (AD) should lead to advancements in therapeutics. Recent developments in human induced pluripotent stem cells (iPSCs) have afforded the opportunity to use human neurons and glia to study cellular changes involved in neurological diseases. iPSCs have the potential to be differentiated into AD-relevant cell types, including forebrain neurons, astrocytes, and microglia. This permits the evaluation of individual cell types in isolation or in concert, thus modeling the interdependence of cell types within the brain. When discussing the potential of modeling AD with iPSCs, it is important to remember that the umbrella diagnosis of "Alzheimer׳s disease" represents a disease that is heterogeneous in terms of age of onset, underlying causes, and at times precise pathology. The ability of iPSCs to be derived from an array of AD patients allows for a closer examination of the mechanism of disease progression in particular subsets of subjects, who may have different mutations and allelic variants affecting their risk for disease. Disease mechanisms can be probed both by the genetic manipulation of iPSCs and by modifications to the cellular environment by chemical treatment. These studies may lead not only to the refinement of known pathways implicated in AD, but also to the identification of novel pathways heretofore unaffiliated with disease pathology. In this review, we describe the potential of iPSC models to transform our understanding of AD and to lead to valuable advancements in therapeutics. This article is part of a Special Issue entitled SI: Exploiting human neurons.
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Registered trials
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.