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Extracellular amyloid beta peptides (Abetas) have long been thought to be a primary cause of Alzheimer's disease (AD). Now, detection of intracellular neuronal Abeta1--42 accumulation before extracellular Abeta deposits questions the relevance of intracellular peptides in AD. In the present study, we directly address whether intracellular Abeta is toxic to human neurons. Microinjections of Abeta1--42 peptide or a cDNA-expressing cytosolic Abeta1--42 rapidly induces cell death of primary human neurons. In contrast, Abeta1--40, Abeta40--1, or Abeta42--1 peptides, and cDNAs expressing cytosolic Abeta1--40 or secreted Abeta1--42 and Abeta1--40, are not toxic. As little as a 1-pM concentration or 1500 molecules/cell of Abeta1--42 peptides is neurotoxic. The nonfibrillized and fibrillized Abeta1--42 peptides are equally toxic. In contrast, Abeta1--42 peptides are not toxic to human primary astrocytes, neuronal, and nonneuronal cell lines. Inhibition of de novo protein synthesis protects against Abeta1--42 toxicity, indicating that programmed cell death is involved. Bcl-2, Bax-neutralizing antibodies, cDNA expression of a p53R273H dominant negative mutant, and caspase inhibitors prevent Abeta1--42-mediated human neuronal cell death. Taken together, our data directly demonstrate that intracellular Abeta1--42 is selectively cytotoxic to human neurons through the p53--Bax cell death pathway.
Pubmed ID: 11815632
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NEURON is a simulation environment for modeling individual neurons and networks of neurons. It provides tools for conveniently building, managing, and using models in a way that is numerically sound and computationally efficient. It is particularly well-suited to problems that are closely linked to experimental data, especially those that involve cells with complex anatomical and biophysical properties. NEURON has benefited from judicious revision and selective enhancement, guided by feedback from the growing number of neuroscientists who have used it to incorporate empirically-based modeling into their research strategies. NEURON's computational engine employs special algorithms that achieve high efficiency by exploiting the structure of the equations that describe neuronal properties. It has functions that are tailored for conveniently controlling simulations, and presenting the results of real neurophysiological problems graphically in ways that are quickly and intuitively grasped. Instead of forcing users to reformulate their conceptual models to fit the requirements of a general purpose simulator, NEURON is designed to let them deal directly with familiar neuroscience concepts. Consequently, users can think in terms of the biophysical properties of membrane and cytoplasm, the branched architecture of neurons, and the effects of synaptic communication between cells. * helps users focus on important biological issues rather than purely computational concerns * has a convenient user interface * has a user-extendable library of biophysical mechanisms * has many enhancements for efficient network modeling * offers customizable initialization and simulation flow control * is widely used in neuroscience research by experimentalists and theoreticians * is well-documented and actively supported * is free, open source, and runs on (almost) everything
View all literature mentionsCell line NIH 3T3 is a Spontaneously immortalized cell line with a species of origin Mus musculus
View all literature mentionsCell line NIH 3T3 is a Spontaneously immortalized cell line with a species of origin Mus musculus
View all literature mentions