Age-dependent instability of mature neuronal fate in induced neurons from Alzheimer's patients.
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ABSTRACT:
SUBMITTER: Mertens J
PROVIDER: S-EPMC8423435 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Although the majority of Alzheimer's disease (AD) cases are sporadic, about 5% of cases are inherited in an autosomal dominant pattern as familial AD (FAD) and manifest at an early age. Mutations in the presenilin 1 (PSEN1) gene account for the majority of early-onset FAD. Here, we describe the generation of virus-free human induced pluripotent stem cells (hiPSCs) derived from fibroblasts of patients harboring the FAD PSEN1 mutation A246E and fibroblasts from healthy age-matched controls using nonintegrating episomal vectors. We have differentiated these hiPSC lines to the neuronal lineage and demonstrated that hiPSC-derived neurons have mature phenotypic and physiological properties. Neurons from mutant hiPSC lines express PSEN1-A246E mutations themselves and show AD-like biochemical features, that is, amyloidogenic processing of amyloid precursor protein (APP) indicated by an increase in ?-amyloid (A?)42/A?40 ratio. FAD hiPSCs harboring disease properties can be used as humanized models to test novel diagnostic methods and therapies and explore novel hypotheses for AD pathogenesis.
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Project description:BackgroundThe ε4 allele of apolipoprotein E (APOE ε4) is the strongest known genetic risk factor for late-onset Alzheimer's disease (AD), associated with amyloid pathogenesis. However, it is not clear how APOE ε4 accelerates amyloid-beta (Aβ) deposition during the seeding stage of amyloid development in AD patient neurons.MethodsAD patient induced neurons (iNs) with an APOE ε4 inducible system were prepared from skin fibroblasts of AD patients. Transcriptome analysis was performed using RNA isolated from the AD patient iNs expressing APOE ε4 at amyloid-seeding and amyloid-aggregation stages. Knockdown of IGFBP3 was applied in the iNs to investigate the role of IGFBP3 in the APOE ε4-mediated amyloidosis.ResultsWe optimized amyloid seeding stage in the iNs of AD patients that transiently expressed APOE ε4. Remarkably, we demonstrated that Aβ pathology was aggravated by the induction of APOE ε4 gene expression at the amyloid early-seeding stage in the iNs of AD patients. Moreover, transcriptome analysis in the early-seeding stage revealed that IGFBP3 was functionally important in the molecular pathology of APOE ε4-associated AD.ConclusionsOur findings suggest that the presence of APOE ε4 at the early Aβ-seeding stage in patient iNs is critical for aggravation of sporadic AD pathology. These results provide insights into the importance of APOE ε4 expression for the progression and pathogenesis of sporadic AD.
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Project description:From development up to adulthood, the vertebrate brain is continuously supplied with newborn neurons that integrate into established mature circuits. However, how this process is coordinated during development remains unclear. Using two-photon imaging, GCaMP5 transgenic zebrafish larvae, and sparse electroporation in the larva's optic tectum, we monitored spontaneous and induced activity of large neuronal populations containing newborn and functionally mature neurons. We observed that the maturation of newborn neurons is a 4-day process. Initially, newborn neurons showed undeveloped dendritic arbors, no neurotransmitter identity, and were unresponsive to visual stimulation, although they displayed spontaneous calcium transients. Later on, newborn-labeled neurons began to respond to visual stimuli but in a very variable manner. At the end of the maturation period, newborn-labeled neurons exhibited visual tuning curves (spatial receptive fields and direction selectivity) and spontaneous correlated activity with neighboring functionally mature neurons. At this developmental stage, newborn-labeled neurons presented complex dendritic arbors and neurotransmitter identity (excitatory or inhibitory). Removal of retinal inputs significantly perturbed the integration of newborn neurons into the functionally mature tectal network. Our results provide a comprehensive description of the maturation of newborn neurons during development and shed light on potential mechanisms underlying their integration into a functionally mature neuronal circuit.
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Project description:Age-dependent accumulation of amyloid-β, provoking increasing brain amyloidopathy, triggers abnormal patterns of neuron activity and circuit synchronization in Alzheimer's disease (AD) as observed in human AD patients and AD mouse models. Recent studies on AD mouse models, mimicking this age-dependent amyloidopathy, identified alterations in CA1 neuron excitability. However, these models generally also overexpress mutated amyloid precursor protein (APP) and presenilin 1 (PS1) and there is a lack of a clear correlation of neuronal excitability alterations with progressive amyloidopathy. The active development of computational models of AD points out the need of collecting such experimental data to build a reliable disease model exhibiting AD-like disease progression. We therefore used the feature extraction tool of the Human Brain Project (HBP) Brain Simulation Platform to systematically analyze the excitability profile of CA1 pyramidal neuron in the APPPS1 mouse model. We identified specific features of neuron excitability that best correlate either with over-expression of mutated APP and PS1 or increasing Aβ amyloidopathy. Notably, we report strong alterations in membrane time constant and action potential width and weak alterations in firing behavior. Also, using a CA1 pyramidal neuron model, we evidence amyloidopathy-dependent alterations in I h . Finally, cluster analysis of these recordings showed that we could reliably assign a trace to its correct group, opening the door to a more refined, less variable analysis of AD-affected neurons. This inter-disciplinary analysis, bringing together experimentalists and modelers, helps to further unravel the neuronal mechanisms most affected by AD and to build a biologically plausible computational model of the AD brain.
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