Summary
The “amyloid β hypothesis” of Alzheimer’s disease (AD) has been the reigning hypothesis explaining pathogenic mechanisms of AD over the last two decades. However, this hypothesis has not been fully validated in animal models, and several major unresolved issues remain. We recently developed a human neural cell culture model of AD based on a three-dimensional (3D) cell culture system. This unique, cellular model recapitulates key events of the AD pathogenic cascade, including β-amyloid plaques and neurofibrillary tangles. Our 3D human neural cell culture model system provides a premise for a new generation of cellular AD models that can serve as a novel platform for studying pathogenic mechanisms and for high-throughput drug screening in a human brain-like environment.
Keywords: Alzheimer’s disease, amyloid β, Aβ, β-amyloid precursor protein, APP, human neural progenitor cells, Induced pluripotent stem cells, iPSCs, 3D culture model
Alzheimer’s disease (AD) is the most common neurodegenerative disease, clinically characterized by progressive memory loss. To date, an estimated 5.2 million people have the disease in the US, and the total number of people with AD related dementia is projected to rise to 13.8 million by 2050 1,2. At present, there is no cure for the disease, and early clinical diagnosis is not yet available for the majority of patients.
The two key pathological hallmarks of AD are senile plaques (amyloid plaques) and neurofibrillary tangles (NFTs), which develop in brain regions responsible for memory and cognitive functions (i.e. cerebral cortex and limbic system) 3. Senile plaques are extracellular deposits of amyloid-β (Aβ) peptides, while NFTs are intracellular, filamentous aggregates of hyperphosphorylated tau protein 4.
The identification of Aβ as the main component of senile plaques by Drs. Glenner and Wong in 1984 5 resulted in the original formation of the “amyloid hypothesis.” According to this hypothesis, which was later renamed the “amyloid-β cascade hypothesis” by Drs. Hardy and Higgins 6, the accumulation of Aβ is the initial pathological trigger in the disease, subsequently leading to hyperphosphorylation of tau, causing NFTs, and ultimately, neuronal death and dementia 4,7–10. Although the details have been modified to reflect new findings, the core elements of this hypothesis remain unchanged: excess accumulation of the pathogenic forms of Aβ, by altered Aβ production and/or clearance, triggers the vicious pathogenic cascades that eventually lead to NFTs and neuronal death.
The amyloid β cascade hypothesis: a causal link between Aβ and NFTs?
Over the last two decades, the Aβ hypothesis of AD has reigned, providing the foundation for numerous basic studies and clinical trials 4,7,10,11. According to this hypothesis, the accumulation of Aβ, either by altered Aβ production and/or clearance, is the initial pathological trigger in the disease. The excess accumulation of Aβ then elicits a pathogenic cascade including synaptic deficits, altered neuronal activity, inflammation, oxidative stress, neuronal injury, hyperphosphorylation of tau causing NFTs and ultimately, neuronal death and dementia 4,7–10. However, the Aβ hypothesis has not been fully validated and several major unresolved issues remain 12–14. Recent failures of human clinical trials have raised concerns about whether blocking toxic Aβ accumulation is sufficient to stop and even reverse the progression of downstream AD pathologies 15–17.
One of the major unresolved issues of the Aβ hypothesis is to show a direct causal link between Aβ and NFTs 12–14. Studies have demonstrated that treatments with various forms of soluble Aβ oligomers induced synaptic deficits and neuronal injury, as well as hyperphosphorylation of tau proteins, in mouse and rat neurons, which could lead to NFTs and neurodegeneration in vivo 18–21. However, transgenic AD mouse models carrying single or multiple human familial AD (FAD) mutations in amyloid precursor protein (APP) and/or presenilin 1 (PS1) do not develop NFTs or robust neurodegeneration as observed in human patients, despite robust Aβ deposition 13,22,23. Double and triple transgenic mouse models, harboring both FAD and tau mutations linked with frontotemporal dementia (FTD), are the only rodent models to date displaying both amyloid plaques and NFTs. However, the NFT pathology in these models stems mainly from the overexpression of human tau as a result of the FTD, rather than the FAD mutations 24,25.
Failure of attempts at full recapitulation of AD pathologies in mice might be also due to fundamental species-specific differences between mice and humans. Indeed, adult mice do not express the six human isoforms of tau proteins and endogenous mouse tau seems to interfere with aggregation of human tau proteins 26.
Testing Aβ cascade hypothesis in human neuronal models
Recent reprograming technology has provided a new model to test the amyloid hypothesis. Specifically, induced pluripotent stem cells (iPSCs) can be generated from the fibroblasts of AD patients harboring one FAD mutation either in APP or PS1 27–34. These neurons showed significant increases in the ratio of pathogenic Aβ42 to Aβ40 as compared to non-AD control neurons 4,27,28,31,35–37. Human neurons with the APP duplication FAD mutation also displayed robust increases in total Aβ levels due to heightened levels of APP, the precursor protein for Aβ generation 27,33. Similarly, trisomy 21 (Down syndrome) neurons also showed robust increases in total Aβ levels due to the APP gene duplication located on chromosome 21 38.
Human neurons carrying FAD mutations are an optimal model to test whether elevated levels of pathogenic Aβ trigger pathogenic cascades including NFTs, since those cells truly share the same genetic background that induces FAD in humans. Indeed, Israel et al., observed elevated tau phosphorylation in neurons with an APP duplication FAD mutation 33. Blocking Aβ generation by β-secretase inhibitors significantly decreased tau phosphorylation in the same model, but γ-secretase inhibitor, another Aβ blocker, did not affect tau phosphorylation 33. Neurons with the APP V717I FAD mutation also showed an increase in levels of phospho tau and total tau levels 28. More importantly, Muratore and colleagues showed that treatments with Aβ-neutralizing antibodies in those cells significantly reduced the elevated total and phospho tau levels at the early stages of differentiation, suggesting that blocking pathogenic Aβ can reverse the abnormal tau accumulation in APP V717I neurons 28.
Recently, Moore et al. also reported that neurons harboring the APP V717I or the APP duplication FAD mutation showed increases in both total and phospho tau levels 27. Interestingly, altered tau levels were not detected in human neurons carrying PS1 FAD mutations, which significantly increased pathogenic Aβ42 species in the same cells 27. Treatments with β-secretase inhibitor significantly decreased phospho and total tau levels in the APP V717I or the APP duplication models, but γ-secretase inhibitor, could not reduce abnormal tau accumulation in the same cells 27. These data suggest that elevated tau levels in these models were not due to extracellular Aβ accumulation but may possibly represent a very early stage of tauopathy. It may also be due to developmental alterations induced by the APP FAD mutations. Further studies will be needed to clarify the pathogenic importance of tau changes in human iPSC-derived AD neurons.
One of the challenges of replicating tauopathy in human iPSC-derived neurons is that wild-type human iPSC-derived neurons, despite longer differentiation (>100 days), do not fully express adult tau splicing isoforms 39–41. The presence of select FTD tau mutations enhances the expression of adult 4-repeat tau splicing isoforms 39–41. However, control wild-type neurons do not express adult tau isoforms in the same conditions 39–41. This clearly limits the recapitulation of human tauopathy, in which 4-repeat tau plays an important role, in human iPSC-derived neurons without FTD tau mutations.
As summarized, most human FAD neurons showed significant increases in pathogenic Aβ species, while only APP FAD neurons showed altered tau metabolism that may represent very early stages of tauopathy. However, all of these human FAD neurons failed to recapitulate robust extracellular amyloid plaques, NFTs, or any signs of neuronal death, as predicted in the amyloid hypothesis. Difficulty proving the amyloid hypothesis thus far in FAD iPSC neurons might be a consequence of the low levels of pathogenic Aβ in these cultures. Average Aβ levels in brains of AD patients are much higher than those achieved in FAD iPSC-derived neuronal cells 27–34,42. It possible that, human iPSC-derived FAD neurons may not be suitable for generation of elevated Aβ levels on par with levels found in the brains of AD patients43.
Modeling amyloid plaques and NFTs in a human neural 3D culture system
In our recent study, we moved one step closer to proving the amyloid hypothesis. By generating human neural stem cell lines carrying multiple mutations in APP together with PS1, we achieved high levels of pathogenic Aβ42 comparable to those in brains of AD patients 44–46. Co-expression of multiple FAD mutations in APP and PS1 has been previously employed for generations of various AD transgenic mouse models. This strategy has been shown to increase aggregation-prone Aβ42 levels both through dramatic acceleration of onset and increased total levels of Aβ deposition 22,23,47.
Secreted Aβ in a conventional 2D cell culture system was observed to diffuse into the cell culture media, and was then removed during media changes, precluding any possibility of aggregation. This finding led us to adopt a novel 3D Matrigel culture system to create an environment in which secreted Aβ accumulates, accelerating Aβ aggregation 44,45. After 6 weeks of differentiation in our 3D Matrigel system, FAD ReN cells showed robust extracellular Aβ deposits and detergent (SDS)-resistant Aβ aggregates (Aβ dimer, trimer and tetramer) 44,45. Importantly, we observed accumulations of hyperphosphorylated tau proteins in somatodendritic compartments, which were also present in detergent-insoluble fractions 44,45. Immunoelectron microscopy confirmed the presence of detergent-insoluble filamentous structures labeled by tau antibodies 44. Taken together, these observations clearly demonstrated the presence of Aβ plaques and NFT-like pathologies in our 3D human AD culture model. Notably, these AD pathologies were induced solely by FAD mutations without co-expressing human tau mutations.
Next, we tested the direct causal link between excess accumulation of Aβ and NFT-like pathology in our 3D human cellular AD culture system, as predicted in the amyloid hypothesis. Inhibition of Aβ generation with either β- or γ-secretase inhibitors decreased Aβ deposits while also dramatically reducing phospho tau accumulation, particularly in dendrites and axons 44. Our results support the amyloid cascade hypothesis, which posits that FAD mutations cause robust accumulation of Aβ, triggering hyperphosphorylated tau pathology.
Although our 3D human cellular AD model was able to simulate key pathogenic events of AD, many challenges still remain in comprehensively recapitulating the pathogenic cascades of AD. One major disadvantage of our model is manifested in the use of transgenic overexpression of APP and PS1 to generate elevated Aβ levels. This non-physiological overexpression of APP may lead to supplementary pathogenic effects in addition to the accumulation of Aβ, as observed in transgenic AD mouse models 48. Furthermore, the limitations in differentiating ReN cells into mature forebrain neurons, which are most affected in AD, may also pose a formidable challenge in fully reconstituting pathogenic cascades of AD.
Clinical implication of human cellular models of AD
One of the major advantages of human cellular models of AD is that they can provide platforms for high-throughput screening (HTS) of new AD drugs in a human brain-like environment. Our studies clearly demonstrated the advantage of using human neural cell culture systems in recapitulating Aβ-induced tauopathy, which was not feasible in mouse models 44–46. Our 3D human cellular AD model can also provide a powerful platform for HTS of candidate AD drugs that can reduce Aβ and/or tau pathology in a single system, which is not possible in current AD models (Fig. 1). Also, our 3D culture systems allow scalable plating techniques, from thick-layer 6- and 24-well formats to a 96-well thin-layer design, which can fit large scale HTS or high-content screening (HCS) 44–46. An additional strength of our immortalized and single-clonal human neural progenitor cells is their rapid proliferation and stability throughout repeated passages.
Another potential application of human cellular models of AD is to validate/optimize current therapeutic approaches for AD in a human brain-like environment. For example, various antibodies against monomeric and/or oligomeric Aβ species have been under human clinical trials, mostly based on success in AD mouse models 49. As shown by Muratore et al., the efficacy of Aβ neutralizing antibodies can also be tested in human neural cell culture model of AD 28. In addition to the impact on toxic Aβ species, our 3D culture model can test if these antibodies can block tau pathologies in 3D human neural cell culture systems 44–46. Human cellular AD models can also be used to determine optimal doses of candidate AD drugs to block Aβ and/or tau pathology without affecting neuronal survival (Fig. 1). Indeed, a recent study has shown that human iPSC-derived neurons are more resistant to nonsteroidal anti-inflammatory drug (NSAID) based γ-secretase modulation as compared to rodent neurons, which may explain the failure of human clinical trials of a select NSAID 50.
In addition to drug screening, human cellular AD models can be used to explore molecular mechanisms underlying AD pathogenesis, which could provide novel druggable targets to reduce AD pathology 51. While human iPSC-derived AD models allow study of pathogenic mechanisms under physiological conditions, our 3D model provides insight after pathological accumulation of β-amyloid and NFT formation, which are present in moderate to advanced AD.
While much progress has been made, many challenges still lie on the path to creating human neural cell culture models that comprehensively recapitulate pathogenic cascades of AD. A major difficulty lies in reconstituting the brain regions most affected in AD: the hippocampus and specific cortical layers. Recent progress in 3D culture technology, such as “cerebral organoids,” may also be helpful in rebuilding the brain structures that are affected by AD in a dish 52,53. These “cerebral organoids” were able to model various discrete brain regions including human cortical areas 52, which enabled them to reproduce microcephaly, a brain developmental disorder. Similarly, pathogenic cascades of AD may be recapitulated in cortex-like structures using this model. Adding neuroinflammatory components, such as microglial cells, which are critical in AD pathogenesis, will illuminate the validity of the amyloid β hypothesis. Reconstitution of robust neuronal death stemming from Aβ and tau pathologies will be the next major step in comprehensively recapitulating AD in a cellular model.
Another major challenge lies in developing a precise model for sporadic AD. Currently all of the AD mouse models harbor FAD mutations, which are able to reconstitute pathogenic mechanisms of FAD. Conversely, sporadic AD is caused by both genetic and environmental factors that have not been fully characterized yet. Human iPSC-derived neurons from sporadic AD patients can provide a model for sporadic AD 32,33,54,55. Indeed, some human iPSC cell lines derived from sporadic AD patients showed elevated levels in Aβ 33,54. However, these Aβ increases have not been consistently observed in other sporadic iPSC-derived neurons 32,33. Also, no severe AD pathologies, including extracellular aggregation of β-amyloid or robust tauopathy, were observed in these cells 32,33,54,55. These inconsistencies clearly demonstrate the technical difficulties in modeling sporadic AD even with human iPSCs derived from patients. However, according to the Aβ hypothesis, sporadic AD and FAD share common pathogenic pathways. Thus, drugs that can block Aβ toxicity may work for both FAD and sporadic AD patients, which justifies the use of FAD models to develop drugs for sporadic AD patients.
We predict that further advances in human stem cell technology, as well as recent progress in 3D culture technology, will generate cellular AD models that can more precisely mimic AD pathogenesis in a dish. These AD models will accelerate discovery of new AD drugs and also enable dissection of molecular mechanisms underlying the pathogenic cascades of AD.
Acknowledgments
This work is supported by the grants from the Cure Alzheimer’s fund to D. Y. K., S. H. C. and R. E. T., the Bio & Medical Technology Development Program of the National Research Foundation (funded by the Korean government, MSIP (2015M3A9C7030151), Y.H.K.), and National Institute of Health (1RF1AG048080-01, D.Y.K. and R.E.T.; 5P01AG15379, D.Y.K. and R.E.T.; 2R01AG014713, D.Y.K.; 5R37MH060009, R.E.T.). We would also like to thank Mrs. Jae-Woong Ko and Kyu-Bong Han (Tech up cp., Ltd) for figure image illustrations and Ms. Enjana Bylykbashi (MGH) for critically reading of the manuscript.
Footnotes
DECLARATION OF INTEREST
The authors report no competing financial interest.
AUTHOR CONTRIBUTIONS
S.H.C., Y.H.C., and D.Y.K. mainly contributed to writing the manuscript while C.D. and J.A. revised the manuscript. D.Y.K. and R.E.T. supervised the manuscript.
References
- 1.2015 Alzheimer’s disease facts and figures. Alzheimer’s & Dementia. 2015;11:332–384. doi: 10.1016/j.jalz.2015.02.003. [DOI] [PubMed] [Google Scholar]
- 2.Hebert LE, Weuve J, Scherr PA, Evans DA. Alzheimer disease in the United States (2010–2050) estimated using the 2010 census. Neurology. 2013;80:1778–1783. doi: 10.1212/WNL.0b013e31828726f5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Alzheimer A, Forstl H, Levy R. On certain peculiar diseases of old age. History of psychiatry. 1991;2:71–101. doi: 10.1177/0957154X9100200505. [DOI] [PubMed] [Google Scholar]
- 4.Tanzi RE, Bertram L. Twenty years of the Alzheimer’s disease amyloid hypothesis: a genetic perspective. Cell. 2005;120:545–555. doi: 10.1016/j.cell.2005.02.008. [DOI] [PubMed] [Google Scholar]
- 5.Glenner GG, Wong CW. Alzheimer’s disease: initial report of the purification and characterization of a novel cerebrovascular amyloid protein. Biochem Biophys Res Commun. 1984;120:885–890. doi: 10.1016/s0006-291x(84)80190-4. [DOI] [PubMed] [Google Scholar]
- 6.Hardy JA, Higgins GA. Alzheimer’s Disease: The Amyloid Cascade Hypothesis. Science. 1992;256:184–185. doi: 10.1126/science.1566067. [DOI] [PubMed] [Google Scholar]
- 7.Hardy J. The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics. Science. 2002;297:353–356. doi: 10.1126/science.1072994. [DOI] [PubMed] [Google Scholar]
- 8.Selkoe D. Alzheimer’s disease is a synaptic failure. Science. 2002;298:789–791. doi: 10.1126/science.1074069. [DOI] [PubMed] [Google Scholar]
- 9.Benilova I, Karran E, De Strooper B. The toxic Aβ oligomer and Alzheimer’s disease: an emperor in need of clothes. Nat Neurosci. 2012;15:349–357. doi: 10.1038/nn.3028. [DOI] [PubMed] [Google Scholar]
- 10.Karran E, Mercken M, Strooper BD. The amyloid cascade hypothesis for Alzheimer’s disease: an appraisal for the development of therapeutics. Nat Rev Drug Discov. 2011;10:698–712. doi: 10.1038/nrd3505. [DOI] [PubMed] [Google Scholar]
- 11.Tanzi RE. A Brief History of Alzheimer’s Disease Gene Discovery. J Alzheimers Dis. 2012 doi: 10.3233/JAD-2012-129044. [DOI] [PubMed] [Google Scholar]
- 12.Morris GP, Clark IA, Vissel B. Inconsistencies and Controversies Surrounding the Amyloid Hypothesis of Alzheimer’s Disease. Acta Neuropathol Commun. 2014;2:135. doi: 10.1186/s40478-014-0135-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Armstrong AR. A critical analysis of the ‘amyloid cascade hypothesis’. fn. 2014;3:211–225. [PubMed] [Google Scholar]
- 14.Herrup K. The case for rejecting the amyloid cascade hypothesis. Nat Neurosci. 2015;18:794–799. doi: 10.1038/nn.4017. [DOI] [PubMed] [Google Scholar]
- 15.De Strooper B. Lessons from a Failed γ-Secretase Alzheimer Trial. Cell. 2014;159:721–726. doi: 10.1016/j.cell.2014.10.016. [DOI] [PubMed] [Google Scholar]
- 16.Doody RS, et al. Phase 3 Trials of Solanezumab for Mild-to-Moderate Alzheimer’s Disease. The New England Journal of Medicine. 2014;370:311–321. doi: 10.1056/NEJMoa1312889. [DOI] [PubMed] [Google Scholar]
- 17.Salloway S, et al. Two Phase 3 Trials of Bapineuzumab in Mild-to-Moderate Alzheimer’s Disease. The New England Journal of Medicine. 2014;370:322–333. doi: 10.1056/NEJMoa1304839. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Lambert MP, et al. Diffusible, nonfibrillar ligands derived from Abeta1-42 are potent central nervous system neurotoxins. Proc Natl Acad Sci USA. 1998;95:6448–6453. doi: 10.1073/pnas.95.11.6448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ferreira A, Lu Q, Orecchio L, Kosik KS. Selective phosphorylation of adult tau isoforms in mature hippocampal neurons exposed to fibrillar A beta. Mol Cell Neurosci. 1997;9:220–234. doi: 10.1006/mcne.1997.0615. [DOI] [PubMed] [Google Scholar]
- 20.Shankar GM, et al. Natural Oligomers of the Alzheimer Amyloid-Protein Induce Reversible Synapse Loss by Modulating an NMDA-Type Glutamate Receptor-Dependent Signaling Pathway. J Neurosci. 2007;27:2866–2875. doi: 10.1523/JNEUROSCI.4970-06.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Jin M, et al. Soluble amyloid -protein dimers isolated from Alzheimer cortex directly induce Tau hyperphosphorylation and neuritic degeneration. Proc Natl Acad Sci USA. 2011;108:5819–5824. doi: 10.1073/pnas.1017033108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Götz J, Ittner LM. Animal models of Alzheimer’s disease and frontotemporal dementia. Nat Rev Neurosci. 2008;9:532–544. doi: 10.1038/nrn2420. [DOI] [PubMed] [Google Scholar]
- 23.Chin J. Amyloid Proteins. Vol. 670. Humana Press; 2010. pp. 169–189. [Google Scholar]
- 24.Lewis J, et al. Enhanced neurofibrillary degeneration in transgenic mice expressing mutant tau and APP. Science. 2001;293:1487–1491. doi: 10.1126/science.1058189. [DOI] [PubMed] [Google Scholar]
- 25.Oddo S, et al. Triple-transgenic model of Alzheimer’s disease with plaques and tangles: intracellular Abeta and synaptic dysfunction. Neuron. 2003;39:409–421. doi: 10.1016/s0896-6273(03)00434-3. [DOI] [PubMed] [Google Scholar]
- 26.Ando K, et al. Accelerated Human Mutant Tau Aggregation by Knocking Out Murine Tau in a Transgenic Mouse Model. The American Journal of Pathology. 2011;178:803–816. doi: 10.1016/j.ajpath.2010.10.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Moore S, et al. APP Metabolism Regulates Tau Proteostasis in Human Cerebral Cortex Neurons. Cell Reports. 2015;11:689–696. doi: 10.1016/j.celrep.2015.03.068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Muratore CR, et al. The familial Alzheimer’s disease APPV717I mutation alters APP processing and Tau expression in iPSC-derived neurons. Human Molecular Genetics. 2014;23:3523–3536. doi: 10.1093/hmg/ddu064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Mohamet L. Familial Alzheimer’s disease modelling using induced pluripotent stem cell technology. WJSC. 2014;6:239. doi: 10.4252/wjsc.v6.i2.239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Duan L, et al. Stem cell derived basal forebrain cholinergic neurons from Alzheimer’s disease patients are more susceptible to cell death. Mol Neurodegener. 2014;9:3. doi: 10.1186/1750-1326-9-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Sproul AA, et al. Characterization and Molecular Profiling of PS1 Familial Alzheimer’s Disease iPSC-Derived Neural Progenitors. PLoS ONE. 2014;9:e84547. doi: 10.1371/journal.pone.0084547. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Kondo T, et al. Modeling Alzheimer’s Disease with iPSCs Reveals Stress Phenotypes Associated with Intracellular Aβ and Differential Drug Responsiveness. Cell Stem Cell. 2013;12:487–496. doi: 10.1016/j.stem.2013.01.009. [DOI] [PubMed] [Google Scholar]
- 33.Israel MA, et al. Probing sporadic and familial Alzheimer’s disease using induced pluripotent stem cells. Nature. 2012 doi: 10.1038/nature10821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Yagi T, et al. Modeling familial Alzheimer’s disease with induced pluripotent stem cells. Human Molecular Genetics. 2011;20:4530–4539. doi: 10.1093/hmg/ddr394. [DOI] [PubMed] [Google Scholar]
- 35.Woodruff G, et al. The Presenilin-1 ΔE9 Mutation Results in Reduced γ-Secretase Activity, but Not Total Loss of PS1 Function, in Isogenic Human Stem Cells. Cell Reports. 2013;5:974–985. doi: 10.1016/j.celrep.2013.10.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Koch P, et al. Presenilin-1 L166P Mutant Human Pluripotent Stem Cell–Derived Neurons Exhibit Partial Loss of γ-Secretase Activity in Endogenous Amyloid-β Generation. The American Journal of Pathology. 2012;180:2404–2416. doi: 10.1016/j.ajpath.2012.02.012. [DOI] [PubMed] [Google Scholar]
- 37.Hu W, et al. Direct Conversion of Normal and Alzheimer’s Disease Human Fibroblasts into Neuronal Cells by Small Molecules. Cell Stem Cell. 2015;17:204–212. doi: 10.1016/j.stem.2015.07.006. [DOI] [PubMed] [Google Scholar]
- 38.Shi Y, et al. A Human Stem Cell Model of Early Alzheimer’s Disease Pathology in Down Syndrome. Sci Transl Med. 2012;4:124ra29–124ra29. doi: 10.1126/scitranslmed.3003771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Sposito T, et al. Developmental regulation of tau splicing is disrupted in stem cell-derived neurons from frontotemporal dementia patients with the 10 + 16 splice-site mutation in MAPT. Hum Mol Genet. 2015;24:5260–5269. doi: 10.1093/hmg/ddv246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Iovino M, et al. Early maturation and distinct tau pathology in induced pluripotent stem cell-derived neurons from patients with MAPT mutations. Brain. 2015:awv222. doi: 10.1093/brain/awv222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Ehrlich M, et al. Distinct Neurodegenerative Changes in an Induced Pluripotent Stem Cell Model of Frontotemporal Dementia Linked to Mutant TAU Protein. Stem Cell Reports. 2015;5:83–96. doi: 10.1016/j.stemcr.2015.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Wang J, Dickson DW, Trojanowski JQ, Lee VM. The levels of soluble versus insoluble brain Abeta distinguish Alzheimer’s disease from normal and pathologic aging. Exp Neurol. 1999;158:328–337. doi: 10.1006/exnr.1999.7085. [DOI] [PubMed] [Google Scholar]
- 43.Kim DY, et al. BACE1 regulates voltage-gated sodium channels and neuronal activity. Nat Cell Biol. 2007;9:755–764. doi: 10.1038/ncb1602. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Choi SH, et al. A three-dimensional human neural cell culture model of Alzheimer’s disease. Nature. 2014;515:274–278. doi: 10.1038/nature13800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Kim YH, et al. A 3D human neural cell culture system for modeling Alzheimer’s disease. Nat Protoc. 2015;10:985–1006. doi: 10.1038/nprot.2015.065. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.D’Avanzo C, et al. Alzheimer’s in 3D culture: Challenges and perspectives. Bioessays. 2015 doi: 10.1002/bies.201500063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Duff K, Rao MV. Progress in the modeling of neurodegenerative diseases in transgenic mice. Curr Opin Neurol. 2001;14:441–447. doi: 10.1097/00019052-200108000-00003. [DOI] [PubMed] [Google Scholar]
- 48.Nilsson P, Saito T, Saido TC. New Mouse Model of Alzheimer’s. ACS Chem Neurosci. 2014;5:499–502. doi: 10.1021/cn500105p. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Wisniewski T, Goñi F. Immunotherapeutic approaches for Alzheimer’s disease. Neuron. 2015;85:1162–1176. doi: 10.1016/j.neuron.2014.12.064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Mertens J, et al. APP Processing in Human Pluripotent Stem Cell-Derived Neurons Is Resistant to NSAID-Based γ-Secretase Modulation. Stem Cell Reports. 2013;1:491–498. doi: 10.1016/j.stemcr.2013.10.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Livesey FJ. Human stem cell models of dementia. Human Molecular Genetics. 2014;23:R35–R39. doi: 10.1093/hmg/ddu302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Lancaster MA, et al. Cerebral organoids model human brain development and microcephaly. Nature. 2013;501:373–379. doi: 10.1038/nature12517. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Paşca AM, et al. Functional cortical neurons and astrocytes from human pluripotent stem cells in 3D culture. Nat Methods. 2015;12:671–678. doi: 10.1038/nmeth.3415. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Duan L, et al. Stem cell derived basal forebrain cholinergic neurons from Alzheimer’s disease patients are more susceptible to cell death. Mol Neurodegener. 2014;9:3. doi: 10.1186/1750-1326-9-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Hossini AM, et al. Induced pluripotent stem cell-derived neuronal cells from a sporadic Alzheimer’s disease donor as a model for investigating AD-associated gene regulatory networks. BMC Genomics. 2015;16:84. doi: 10.1186/s12864-015-1262-5. [DOI] [PMC free article] [PubMed] [Google Scholar]