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Epidemiological data indicate that low n-3 polyunsaturated fatty acids (PFA) intake is a readily manipulated dietary risk factor for Alzheimer's disease (AD). Studies in animals confirm the deleterious effect of n-3 PFA depletion on cognition and on dendritic scaffold proteins. Here, we show that in transgenic mice overexpressing the human AD gene APPswe (Tg2576), safflower oil-induced n-3 PFA deficiency caused a decrease in N-methyl-D-aspartate (NMDA) receptor subunits, NR2A and NR2B, in the cortex and hippocampus with no loss of the presynaptic markers, synaptophysin and synaptosomal-associated protein 25 (SNAP-25). n-3 PFA depletion also decreased the NR1 subunit in the hippocampus and Ca2+/calmodulin-dependent protein kinase (CaMKII) in the cortex of Tg2576 mice. These effects of dietary n-3 PFA deficiency were greatly amplified in Tg2576 mice compared to nontransgenic mice. Loss of the NR2B receptor subunit was not explained by changes in mRNA expression, but correlated with p85alpha phosphatidylinositol 3-kinase levels. Most interestingly, n-3 PFA deficiency dramatically increased levels of protein fragments, corresponding to caspase/calpain-cleaved fodrin and gelsolin in Tg2576 mice. This effect was minimal in nontransgenic mice suggesting that n-3 PFA depletion potentiated caspase activation in the Tg2576 mouse model of AD. Dietary supplementation with docosahexaenoic acid (DHA; 22 : 6n-3) partly protected from NMDA receptor subunit loss and accumulation of fodrin and gelsolin fragments but fully prevented CaMKII decrease. The marked effect of dietary n-3 PFA on NMDA receptors and caspase/calpain activation in the cortex of an animal model of AD provide new insights into how dietary essential fatty acids may influence cognition and AD risk.

Epidemiological and basic research suggests that nonsteroidal anti-inflammatory drugs (NSAIDs) should protect against the most common forms of Alzheimer's disease (AD). Ibuprofen reduces amyloid (Abeta) pathology in some transgenic models, but the precise mechanisms remain unclear. Although some reports show select NSAIDs inhibit amyloid production in vitro, the possibility that in vivo suppression of amyloid pathology occurs independent of Abeta production has not been ruled out. We show that ibuprofen reduced Abeta brain levels in rats from exogenously infused Abeta in the absence of altered Abeta production. To determine whether ibuprofen inhibits pro-amyloidogenic factors, APPsw (Tg2576) mice were treated with ibuprofen for 6 months, and expression levels of the Abeta and inflammation-related molecules alpha1 antichymotrypsin (ACT), apoE, BACE1, and peroxisome proliferator-activated receptor gamma) (PPARgamma) were measured. Among these, ACT, a factor whose overexpression accelerates amyloid pathology, was reduced by ibuprofen both in vivo and in vitro. IL-1beta, which was reduced in our animals by ibuprofen, induced mouse ACT in vitro. While some NSAIDs may inhibit Abeta42 production, these observations suggest that ibuprofen reduction of Abeta pathology may not be mediated by altered Abeta42 production. We present evidence supporting the hypothesis that ibuprofen-dependent amyloid reduction is mediated by inhibition of an alternate pathway (IL-1beta and its downstream target ACT).

Epidemiological studies suggest that increased intake of the omega-3 (n-3) polyunsaturated fatty acid (PUFA) docosahexaenoic acid (DHA) is associated with reduced risk of Alzheimer's disease (AD). DHA levels are lower in serum and brains of AD patients, which could result from low dietary intake and/or PUFA oxidation. Because effects of DHA on Alzheimer pathogenesis, particularly on amyloidosis, are unknown, we used the APPsw (Tg2576) transgenic mouse model to evaluate the impact of dietary DHA on amyloid precursor protein (APP) processing and amyloid burden. Aged animals (17-19 months old) were placed in one of three groups until 22.5 months of age: control (0.09% DHA), low-DHA (0%), or high-DHA (0.6%) chow. beta-Amyloid (Abeta) ELISA of the detergent-insoluble extract of cortical homogenates showed that DHA-enriched diets significantly reduced total Abeta by >70% when compared with low-DHA or control chow diets. Dietary DHA also decreased Abeta42 levels below those seen with control chow. Image analysis of brain sections with an antibody against Abeta (amino acids 1-13) revealed that overall plaque burden was significantly reduced by 40.3%, with the largest reductions (40-50%) in the hippocampus and parietal cortex. DHA modulated APP processing by decreasing both alpha- and beta-APP C-terminal fragment products and full-length APP. BACE1 (beta-secretase activity of the beta-site APP-cleaving enzyme), ApoE (apolipoprotein E), and transthyretin gene expression were unchanged with the high-DHA diet. Together, these results suggest that dietary DHA could be protective against beta-amyloid production, accumulation, and potential downstream toxicity.

Alzheimer's disease (AD) involves amyloid beta (Abeta) accumulation, oxidative damage, and inflammation, and risk is reduced with increased antioxidant and anti-inflammatory consumption. The phenolic yellow curry pigment curcumin has potent anti-inflammatory and antioxidant activities and can suppress oxidative damage, inflammation, cognitive deficits, and amyloid accumulation. Since the molecular structure of curcumin suggested potential Abeta binding, we investigated whether its efficacy in AD models could be explained by effects on Abeta aggregation. Under aggregating conditions in vitro, curcumin inhibited aggregation (IC(50) = 0.8 microM) as well as disaggregated fibrillar Abeta40 (IC(50) = 1 microM), indicating favorable stoichiometry for inhibition. Curcumin was a better Abeta40 aggregation inhibitor than ibuprofen and naproxen, and prevented Abeta42 oligomer formation and toxicity between 0.1 and 1.0 microM. Under EM, curcumin decreased dose dependently Abeta fibril formation beginning with 0.125 microM. The effects of curcumin did not depend on Abeta sequence but on fibril-related conformation. AD and Tg2576 mice brain sections incubated with curcumin revealed preferential labeling of amyloid plaques. In vivo studies showed that curcumin injected peripherally into aged Tg mice crossed the blood-brain barrier and bound plaques. When fed to aged Tg2576 mice with advanced amyloid accumulation, curcumin labeled plaques and reduced amyloid levels and plaque burden. Hence, curcumin directly binds small beta-amyloid species to block aggregation and fibril formation in vitro and in vivo. These data suggest that low dose curcumin effectively disaggregates Abeta as well as prevents fibril and oligomer formation, supporting the rationale for curcumin use in clinical trials preventing or treating AD.

Both oxidative damage and inflammation are elevated in brains of Alzheimer's disease (AD) patients, but their pathogenic significance remains unclear. The reduced AD risk associated with high intake of both nonsteroidal anti-inflammatory drugs (NSAIDs) and antioxidants suggests causal roles, but clinical trials in AD patients have yielded only limited or negative results. To test the potential efficacy and mechanisms of candidate approaches, we have explored conventional and unconventional NSAIDs, antioxidants, and combined NSAID/antioxidants in cell culture and animal models for AD (including aging APPsw transgenic mice and soluble Abeta rodent infusion models). The conventional NSAID ibuprofen has the strongest epidemiological support. At sustainable doses designed to mimic protective consumption in the epidemiology, ibuprofen reduces amyloid accumulation but suppresses a surprisingly limited subset of inflammatory markers in APPsw transgenic mice. Both Ab production (APP, beta- and gamma-secretases) and post-production pathways (those affecting Abeta aggregation or clearance: e.g., IL-1 or alpha1ACT) are potentially involved in ibuprofen and other NSAID anti-AD activities. The post-production pathways are predictably shared with other seemingly protective NSAIDs, including naproxen that do not lower Abeta42 in vitro. Using clinically feasible dosing, brain levels of NSAIDs appear too low to implicate a number of pharmacological dose targets that have been demonstrated in vitro. Ibuprofen did not suppress microglial markers related to phagocytosis. The putative anti-inflammatory omega-3 fatty acid DHA had a profound impact on pathogenesis but did not lower inflammation, while vitamin E was surprisingly ineffective in reducing oxidative damage or amyloid in the aged APPsw mouse. In contrast, the unconventional NSAID/antioxidant curcumin was effective, lowering oxidative damage, cognitive deficits, synaptic marker loss, and amyloid deposition. Curcumin proved to be immunomodulatory, simultaneously inhibiting cytokine and microglial activation indices related to neurotoxicity, but increasing an index of phagocytosis. Curcumin directly targeted Abeta and was also effective in other models, warranting further preclinical and clinical exploration.

Some human cancers are caused by functional defects in p53 that are restored by gene therapy with wild-type p53. To circumvent the use of viral vectors, we reconstituted cancer cell lines with p53 by protein transduction. A fusion protein was produced from cDNA constructed from the Fv fragment of an antibody that penetrates living cells and wild-type p53 (Fv-p53). Fv-p53 penetrated and killed cancer cells that do not express p53. Additionally, Fv-p53 killed cancer cells that were malignant as a result of mutations within p53, nuclear exclusion of p53 and over-expression of MDM2. Non-specific toxicity was excluded by showing that Fv-p53 penetrated but did not kill primary cells and cancer cells unresponsive to p53. Fv fragments alone were not cytotoxic, indicating that killing was due to transduction of p53. Fv-p53 was shown to penetrate cancer cells engrafted in vivo. These results support continued efforts to evaluate the potential efficacy of Fv-p53 for the treatment of certain cancers in vivo.

In an effort to examine changes that precede synapse loss, we have measured amyloid-beta and a series of damage markers in the synaptic compartment of Alzheimer's disease (AD) cases. Because localization of events to the terminal region in neurons is problematic with conventional methods, we prepared synaptosomes from samples of cryopreserved human association cortex, and immunolabeled terminals with a procedure for intracellular antigens. Fluorescence was quantified using flow cytometry. The viability dye calcein AM was unchanged in AD terminals compared to controls, and the fraction of large synaptosome particles did not change, although a striking loss of large terminals was observed in some AD cases. The percent positive fraction for a series of pre- and postsynaptic markers was not affected by AD in this cohort. However, the amyloid-beta-positive fraction increased from 16 to 27% (P < 0.02) in terminals from AD cortex. The expression level on a per-terminal basis is indicated in this assay by fluorescence (relative fluorescence units). The fluorescence of presynaptic markers did not change in AD terminals, but PSD-95 fluorescence was decreased by 19% (P < 0.03). Amyloid-beta fluorescence was increased by 132% (P < 0.01), and glial fibrillary acidic protein labeling by 31% (P < 0.01). These results suggest that synapse-associated amyloid-beta is prominent in regions relatively unaffected by AD lesions, and that amyloid accumulation in surviving terminals is accompanied by gliosis and alteration in the postsynaptic structure.

Estimation of intracranial electric activity from the scalp electroencephalogram (EEG) requires a solution to the EEG inverse problem, which is known as an ill-conditioned problem. In order to yield a unique solution, weighted minimum norm least square (MNLS) inverse methods are generally used. This paper proposes a recursive algorithm, termed Shrinking LORETA-FOCUSS, which combines and expands upon the central features of two well-known weighted MNLS methods: LORETA and FOCUSS. This recursive algorithm makes iterative adjustments to the solution space as well as the weighting matrix, thereby dramatically reducing the computation load, and increasing local source resolution. Simulations are conducted on a 3-shell spherical head model registered to the Talairach human brain atlas. A comparative study of four different inverse methods, standard Weighted Minimum Norm, L1-norm, LORETA-FOCUSS and Shrinking LORETA-FOCUSS are presented. The results demonstrate that Shrinking LORETA-FOCUSS is able to reconstruct a three-dimensional source distribution with smaller localization and energy errors compared to the other methods.

Learning and memory depend on dendritic spine actin assembly and docosahexaenoic acid (DHA), an essential n-3 (omega-3) polyunsaturated fatty acid (PFA). High DHA consumption is associated with reduced Alzheimer's disease (AD) risk, yet mechanisms and therapeutic potential remain elusive. Here, we report that reduction of dietary n-3 PFA in an AD mouse model resulted in 80%-90% losses of the p85alpha subunit of phosphatidylinositol 3-kinase and the postsynaptic actin-regulating protein drebrin, as in AD brain. The loss of postsynaptic proteins was associated with increased oxidation, without concomitant neuron or presynaptic protein loss. n-3 PFA depletion increased caspase-cleaved actin, which was localized in dendrites ultrastructurally. Treatment of n-3 PFA-restricted mice with DHA protected against these effects and behavioral deficits and increased antiapoptotic BAD phosphorylation. Since n-3 PFAs are essential for p85-mediated CNS insulin signaling and selective protection of postsynaptic proteins, these findings have implications for neurodegenerative diseases where synaptic loss is critical, especially AD.

Background: Synapse regions in the brain are difficult to isolate and study; resealed nerve terminals (synaptosomes) are a widely used in vitro system for the study of neurotransmission, but nonsynaptosomal elements in the homogenate complicate data interpretation. With the goal of quantitative analysis of pathways leading to synapse loss in neurodegenerative disease, we have developed a method that allows focus on the intact synaptosomes within a crude synaptosomal preparation by gating the largest particles based on forward angle light scatter (FSC)., Methods: Crude synaptosomal fractions (P-2) were prepared and labeled with a viability dye (calcein AM), a presynaptic marker (SNAP-25), and a postsynaptic marker (PSD-95). Forward scatter gates based on size standards were drawn to identify the large population (1.4-4.5 microm), and the enrichment of each marker was quantified in preparations from fresh rat homogenates and from cryopreserved human cortex., Results: Gating on forward scatter resulted in an increase that was highly significant (P < 0.001) for all three markers examined. The calcein-AM-positive fraction in the large synaptosomes was 98% +/- 0.8, and 75% +/- 9.8 for rat and human, respectively. Of large particles, 90% +/- 2.7 in rat and 82% +/- 2.6 in human were positive for SNAP-25, indicating a relatively pure population of intact synaptosomes. A total of 76% +/- 2.9 of the large particles were positive for PSD-95 in rat. This compared to 36% +/- 3.0 in human tissue, and indicates that both presynaptic and postsynaptic elements may be analyzed with this methodology., Conclusions: Most nonsynaptosomal elements can be excluded and the intact subpopulation of interest within the P-2 can be identified based on size. Size-based gating analysis provides a simple and cost-effective method to monitor fluorescence changes in synapse regions., (Copyright 2004 Wiley-Liss, Inc.)

This paper presents an algorithm for classifying single-trial electroencephalogram (EEG) during the preparation of self-paced tapping. It combines common spatial subspace decomposition with Fisher discriminant analysis to extract features from multichannel EEG. Three features are obtained based on Bereitschaftspotential and event-related desynchronization. Finally, a perceptron neural network is trained as the classifier. This algorithm was applied to the data set (self-paced 1s) of "BCI Competition 2003" with a classification accuracy of 84% on the test set.

An algorithm based on independent component analysis (ICA) is introduced for P300 detection. After ICA decomposition, P300-related independent components are selected according to the a priori knowledge of P300 spatio-temporal pattern, and clear P300 peak is reconstructed by back projection of ICA. Applied to the dataset IIb of BCI Competition 2003, the algorithm achieved an accuracy of 100% in P300 detection within five repetitions.

It is estimated that epilepsy, a chronic disorder of the nervous system, affects about 0.5%-2% of the population and about 10%-50% do not respond well to current antiepileptic medications and may not be candidates for surgery. For these patients, the unpredictability of seizure onset is a major cause of disability and mortality. Therefore, anticipation of an imminent seizure would be beneficial to patients because it could provide time for the application of preventive measures to keep the risk of seizure to a minimum. This paper reviews the feasibilities, the progress, existing problems and possible applications in the field of epileptic seizure prediction.

Objective: To classify the EEG data recorded in mu rhythm-based cursor control experiments with 4 possible choices., Methods: The algorithm included preprocessing, feature extraction, and classification. Two spatial filters, common average reference and common spatial subspace decomposition, were used in preprocessing to improve the signal-to-noise ratio, and then two features were extracted based on the power spectrum and the time course of the mu rhythm respectively. A Fisher ratio was defined to select channels in feature extraction. A 2-dimensional linear classifier was trained for final classification., Results: Two types of classifiers were trained for the training dataset. The uniform classifier gave a classification accuracy of 76.4%, and the classifier trained by leave-one-out method gave a classification accuracy of 74.4%, both higher than the online accuracy 69.5%. The uniform classifier was applied to the test dataset and the classification accuracy was 65.9%, lower than the online accuracy 73.2%., Conclusions: Spatial filtering can give a notable improvement in classification accuracy. The time course of the mu rhythm, as well as the power of the mu rhythm, shows difference between the 4 targets, and can contribute to the classification., Significance: The spatial filtering, feature extraction and channel selection methods in the algorithm will provide some practical suggestions for further study on the mu rhythm-based brain-computer interface.

EEG-based brain computer interface (BCI) provides a completely new communication channel between human brain and computer. Classification of EEG signals is a difficult task, especially when the classification has to be preformed on a single-trial EEG to continuously control a device. Event related desynchronization (ERD) has proven to be induced on the contralateral sensorimotor area during imagination of a left or right hand movement. In this paper, we introduced a quantification of ERD, with which a lower classification error rate and a higher information transfer rate can be obtained. The performance was tested by the Graz dataset for BCI competition 2003.

Methods for cell type specific targeted intracellular delivery of proteins in vivo remain limited. A murine monoclonal anti-dsDNA antibody, mAb 3E10, was selectively transported into skeletal muscle cells in vivo. The antibody bound a 200 kDa protein only found in lysates of skeletal muscle by Western blotting. The 200 kDa protein was purified from muscle lysate by antibody affinity chromatography and identified as the skeletal muscle specific heavy chain of myosin IIb by electrospray mass spectrometry. Antibody binding specificity for myosin IIb was demonstrated in Western blots by binding myosin in skeletal muscle lysates from mice null for myosin IId but not in mice null for myosin IIb. Myosin IIb is implicated in the specific targeting of mAb 3E10 to skeletal muscle.

Caspases, a family of cysteine proteases, are thought to be critical mediators of apoptosis. To examine the role of neuronal caspases in excitotoxic neurodegeneration in vivo, we have generated transgenic mice expressing the baculovirus protein p35, a potent viral caspase inhibitor, using the neuron-specific calmodulin dependent kinase-II alpha (CaMKII-alpha) promoter. The expression of p35 was confirmed by reverse transcriptase-polymerase chain reaction (RT-PCR), Western blotting and immunohistochemistry. We analyzed caspase activation and cell death by employing an experimental paradigm, in which the excitotoxin kainate (KA) was injected into CA1 of hippocampus and the distribution of the caspase-generated actin fragment was detected immunohistochemically. While kainate treatment led to selective neuronal death in the CA1, CA3 and CA4 of non-transgenic control mice, we observed restricted caspase activation only in the CA3 sector. The transgenic expression of p35 consistently inhibited the kainate-induced caspase activation, but failed to influence the death of neurons to any extent. In addition, we observed concomitant early calpain activation in the specific areas where neurons underwent degeneration in both the transgenic and non-transgenic mice. These results indicate that p35-inhibitable caspases play rather minor roles in the kainate-induced excitotoxicity and that the relative contribution of calpain is likely to be greater than that of caspases.