Penetrance of marked cognitive impairment in older male carriers of the FMR1 gene premutation.

BACKGROUND: Male carriers of the FMR1 premutation are at risk of developing the fragile X-associated tremor/ataxia syndrome (FXTAS), a newly recognised and largely under-diagnosed late onset neurodegenerative disorder. Patients affected with FXTAS primarily present with cerebellar ataxia and intention tremor. Cognitive decline has also been associated with the premutation, but the lack of data on its penetrance is a growing concern for clinicians who provide genetic counselling. METHODS: The Mattis Dementia Rating Scale (MDRS) was administered in a double blind fashion to 74 men aged 50 years or more recruited from fragile X families (35 premutation carriers and 39 intrafamilial controls) regardless of their clinical manifestation. Based on previous publications, marked cognitive impairment was defined by a score <or=123 on the MDRS. RESULTS: Both logistic and survival models confirmed that in addition to age and education level, premutation size plays a significant (p<0.01 and p<0.03 for logistic and survival model, respectively) role in cognitive impairment. The estimated penetrance of marked cognitive impairment in our sample (adjusted for the mean age 63.4 years and mean education level 9.7 years) for midsize/large (70-200 CGG) and small (55-69 CGG) premutation alleles was 33.3% (relative risk (RR) 6.5; p = 0.01) and 5.9% (RR 1.15; p = 0.9) respectively. Penetrance in the control group was 5.1%. CONCLUSIONS: Male carriers of midsize to large premutation alleles had a sixfold increased risk of developing cognitive decline and the risk increases with allele size. In addition, it was observed that cognitive impairment may precede motor symptoms. These data provide guidance for genetic counselling although larger samples are required to refine these estimates.

Caspase substrates and neurodegenerative diseases.

Apoptosis is induced by the cleavage of a subset of cellular proteins by proteases of the caspase family. Numerous (hundreds) caspase substrates have been described but only for a few of them is the function of their cleavage by caspases well understood. In this review, apoptosis and caspases will first be introduced. The main focus will then be directed to the caspase substrates, the actual "workers" doing the job of mediating and regulating the apoptotic process. The caspase substrates whose functions upon cleavage have been carefully investigated and those that are potentially involved in neurodegenerative diseases will be discussed in detail.

Astrocytic dysfunction: insights on the role in neurodegeneration.

For decades, astrocytes have been regarded as passive partners of neurons in central nervous system (CNS) function. Studies of the last 20 years, however, challenged this view by demonstrating that astrocytes possess functional receptors for neurotransmitters and respond to their stimulation via release of gliotransmitters, including glutamate. Notably, astrocytes react to synaptically released neurotransmitters with intracellular calcium ([Ca(2+)]) elevations, which result in the release of glutamate via regulated exocytosis and, possibly, other mechanisms. These findings have led to a new concept of neuron-glia intercommunication where astrocytes play an unsuspected dynamic role by integrating neuronal inputs and modulating synaptic activity. The additional observation that glutamate release from astrocytes is controlled by molecules linked to inflammatory reactions, such as the cytokine tumor necrosis factor alpha (TNFalpha) and prostaglandins (PGs), suggests that glia-to-neuron signalling may be sensitive to changes in the production of these mediators occurring in pathological conditions. Indeed, a local, parenchymal brain inflammatory reaction (neuroinflammation) characterized by astrocytic and microglial activation has been reported in several neurodegenerative disorders, including AIDS dementia complex, Alzheimer's disease and amyotrophic lateral sclerosis. This transition may be accompanied by functional de-regulation and even degeneration of the astrocytes with the consequent disruption of the cross-talk normally occurring between these cells and neurons. Incorrect neuron-astrocyte interactions may be involved in neuronal derangement and contribute to disease development. The findings reported in this review suggest that a better comprehension of the glutamatergic interplay between neurons and astrocytes may provide information about normal brain function and also highlight potential molecular targets for therapeutic interventions in pathology.

Cognitive features in euthymic bipolar patients in old age.

OBJECTIVES: Studies of cognition in bipolar disorder (BD) have reported impairments in processing speed, working memory, episodic memory, and executive function, but they have primarily focused on young and middle-aged adults. In such studies, the severity of cognitive deficits increases with the duration of illness. Therefore, one would expect more pronounced deficits in patients with longstanding BD. The first aim of the present study was to determine the pattern and the magnitude of cognitive impairment in older euthymic BD patients. The second aim was to explore the interrelationship between these cognitive deficits and determine whether they reflect a single core impairment or the co-occurrence of independent cognitive deficits. METHODS: Twenty-two euthymic elderly BD patients and 22 controls, matched for gender, age, and education, underwent a comprehensive neuropsychological assessment. RESULTS: Compared to controls, BD patients had significantly reduced performance in processing speed, working memory, verbal fluency, and episodic memory, but not in executive function. Hierarchical regression analyses showed that verbal fluency and working memory impairments were fully mediated by changes in processing speed. This was not the case for the episodic memory dysfunction. CONCLUSION: The cognitive profile in older euthymic BD cases is similar to the one described in younger BD cohorts. Our results further suggest that impaired processing speed plays a major role in the cognitive changes observed in BD patients except for deficits in episodic memory, thus providing strong evidence that processing speed and episodic memory are two core deficits in elderly BD patients.

A genome-wide association study of neuroticism in a population-based sample.

Neuroticism is a moderately heritable personality trait considered to be a risk factor for developing major depression, anxiety disorders and dementia. We performed a genome-wide association study in 2,235 participants drawn from a population-based study of neuroticism, making this the largest association study for neuroticism to date. Neuroticism was measured by the Eysenck Personality Questionnaire. After Quality Control, we analysed 430,000 autosomal SNPs together with an additional 1.2 million SNPs imputed with high quality from the Hap Map CEU samples. We found a very small effect of population stratification, corrected using one principal component, and some cryptic kinship that required no correction. NKAIN2 showed suggestive evidence of association with neuroticism as a main effect (p < 10(-6)) and GPC6 showed suggestive evidence for interaction with age (p approximately = 10(-7)). We found support for one previously-reported association (PDE4D), but failed to replicate other recent reports. These results suggest common SNP variation does not strongly influence neuroticism. Our study was powered to detect almost all SNPs explaining at least 2% of heritability, and so our results effectively exclude the existence of loci having a major effect on neuroticism.

Oxidation of proteins: Basic principles and perspectives for blood proteomics.

Protein oxidation mechanisms result in a wide array of modifications, from backbone cleavage or protein crosslinking to more subtle modifications such as side chain oxidations. Protein oxidation occurs as part of normal regulatory processes, as a defence mechanism against oxidative stress, or as a deleterious processes when antioxidant defences are overcome. Because blood is continually exposed to reactive oxygen and nitrogen species, blood proteomics should inherently adopt redox proteomic strategies. In this review, we recall the biochemical basis of protein oxidation, review the proteomic methodologies applied to analyse redox modifications, and highlight some physiological and in vitro responses to oxidative stress of various blood components.

Nouveau spectre des troubles cognitifs liés à l'infection par le VIH à l'ère des trithérapies [New spectrum of HIV-associated cognitive disorders in the HAART era]

Highly active anti-retroviral therapy (HAART) has almost abolished HIV-related mortality and serious opportunistic diseases; among them, AIDS-related dementia. However, minor forms of cognitive dysfunction, have not disappeared, and even increased in frequency. Ageing of HIV+ patients, insufficient penetration of anti-viral drugs into the brain with continuous low-grade viral production and inflammation may play a role. Minor cognitive dysfunction in HIV infection shares some clinical and pathophysiological features with neuro-degenerative diseases, in particular Alzheimers disease. It can thus be postulated that, such in Alzheimer disease, anti-cholinesterase drugs might also be efficacious in AIDS-related minor cognitive dysfunction. This hypothesis has not been tested yet however A clinical trial using ravistigmine is starting this spring in patients with HIV-associated cognitive dysfunction in Geneva and Lausanne.

New diagnoses of dementia among older patients admitted to postacute care.

Objectives: To determine the prevalence of dementia and the proportion of undiagnosed dementia in elderly patients admitted to postacute care, and to identify patients' characteristics associated with undiagnosed dementia. Design: Cross-sectional study. Setting: Academic postacute rehabilitation facility in Lausanne, Switzerland. Participants: Patients (N = 1764) aged 70 years and older. Measurements: Data on socio-demographic, medical, functional, and affective status were collected upon admission. Data on cognitive performance (Mini-Mental State Exam [MMSE]), and cognition-related discharge diagnoses were abstracted through a structured review of discharge summaries. Results: Overall, 24.1% (425/1764) patients had a diagnosis of dementia, most frequently secondary to Alzheimer's disease (260/425, 61.2%). Among dementia cases, 70.8% (301/425) were newly diagnosed during postacute stay. This proportion was lower among patients referred from internal medicine than from orthopedic/surgery services (65.8% versus 74.8%, P = .042). Compared to patients with already diagnosed dementia, those newly diagnosed were older, lived alone more frequently, and had better functional status and MMSE score at admission (all P < .05). In multivariate analysis, previously undetected dementia remained associated with older age (OR = 2.4 for age 85 years and older, 95% CI 1.5-4.0, P = .001) and normal MMSE at admission (OR = 5.9, 95% CI 2.7-12.7, P < .001). Conclusion: Dementia was present in almost a fourth of elderly patients referred to postacute care, but was diagnosed in less than a third before admission. Oldest old patients appear especially at risk for underrecognition. These results emphasize the high diagnostic yield of systematic cognitive assessment in the postacute care setting to improve these patients' management and quality of life.

Constrained peptidomimetics reveal detailed geometric requirements of covalent prolyl oligopeptidase inhibitors.

Prolyl oligopeptidases cleave peptides on the carboxy side of internal proline residues and their inhibition has potential in the treatment of human brain disorders. Using our docking program fitted, we have designed a series of constrained covalent inhibitors, built from a series of bicyclic scaffolds, to study the optimal shape required for these small molecules. These structures bear nitrile functional groups that we predicted to covalently bind to the catalytic serine of the enzyme. Synthesis and biological assays using human brain-derived astrocytic cells and endothelial cells and human fibroblasts revealed that these compounds act as selective inhibitors of prolyl oligopeptidase activity compared to prolyl-dipeptidyl-aminopeptidase activity, are able to penetrate the cells and inhibit intracellular activities in intact living cells. This integrated computational and experimental study shed light on the binding mode of inhibitors in the enzyme active site and will guide the design of future drug-like molecules.

Neuroimaging techniques in Alzheimer's disease

Neuroimaging techniques provide valuable tools for diagnosing Alzheimer's disease (AD), monitoring disease progression and evaluating responses to treatment. There is currently a wide array of techniques available including computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and, for recording electrical brain activity, electroencephalography (EEG). The choice of technique depends on the contrast between tissues of interest, spatial resolution, temporal resolution, requirements for functional data and the probable number of scans required. For example, while PET, CT and MRI can be used to differentiate between AD and other dementias, MRI is safer and provides better contrast of soft tissues. Neuroimaging is a technique spanning many disciplines and requires effective communication between doctors requesting a scan of a patient or group of patients and those with technical expertise. Consideration and discussion of the most suitable type of scan and the necessary settings to achieve the best results will help ensure appropriate techniques are chosen and used effectively. Neuroimaging techniques are currently expanding understanding of the structural and functional changes that occur in dementia. Further research may allow identification of early neurological signs ofAD, before clinical symptoms are evident, providing the opportunity to test preventative therapies. CombiningMRI and machine learning techniques may be a powerful approach to improve diagnosis ofAD and to predict clinical outcomes.

Automatic classification of MR scans in Alzheimer's disease.

To be diagnostically useful, structural MRI must reliably distinguish Alzheimer's disease (AD) from normal aging in individual scans. Recent advances in statistical learning theory have led to the application of support vector machines to MRI for detection of a variety of disease states. The aims of this study were to assess how successfully support vector machines assigned individual diagnoses and to determine whether data-sets combined from multiple scanners and different centres could be used to obtain effective classification of scans. We used linear support vector machines to classify the grey matter segment of T1-weighted MR scans from pathologically proven AD patients and cognitively normal elderly individuals obtained from two centres with different scanning equipment. Because the clinical diagnosis of mild AD is difficult we also tested the ability of support vector machines to differentiate control scans from patients without post-mortem confirmation. Finally we sought to use these methods to differentiate scans between patients suffering from AD from those with frontotemporal lobar degeneration. Up to 96% of pathologically verified AD patients were correctly classified using whole brain images. Data from different centres were successfully combined achieving comparable results from the separate analyses. Importantly, data from one centre could be used to train a support vector machine to accurately differentiate AD and normal ageing scans obtained from another centre with different subjects and different scanner equipment. Patients with mild, clinically probable AD and age/sex matched controls were correctly separated in 89% of cases which is compatible with published diagnosis rates in the best clinical centres. This method correctly assigned 89% of patients with post-mortem confirmed diagnosis of either AD or frontotemporal lobar degeneration to their respective group. Our study leads to three conclusions: Firstly, support vector machines successfully separate patients with AD from healthy aging subjects. Secondly, they perform well in the differential diagnosis of two different forms of dementia. Thirdly, the method is robust and can be generalized across different centres. This suggests an important role for computer based diagnostic image analysis for clinical practice.

To differentiate complementary mri sequences to standard protocol in detecting degenerative inflammatory lumbar spine lesions

Purpose: To compare the additional informations obtainedwith axial and sagittal T2 weighted with fat saturation(T2FS) and T1 weighted with Gadolinium iv sequenceswith fat saturation (T1FSGd) to detect degenerativeinflammatory lumbar spine lesions.Materials and Methods: Our retrospective study included73 patients (365 lumbar levels) with lumbar spinedegenerative disease (25 males, 48 females, mean age56 years). MRI protocol was performed with T1 and T2weighted sagittal and T2 weighted axial sequences(standard protocol), axial and sagittal T2FS and T1FSGd.Images were independently analyzed by two musculoskeletalradiologists and a neurosurgeon. Two groups ofsequences were analyzed: standard + T2FS sequences(group 1), standard + T1FSGd sequences (group 2).Degenerative inflammatory lumbar spine lesions werenoted at each level in: anterior column (vertebralendplate), spinal canal (epidural and peri-radicular fat)and posterior column (facet joint with capsular recessand subchondral bone).Results: Degenerative inflammatory lesions were present in18% (66/365) of levels in group 1, and 48% (175/365) oflevels in group 2. In details, lesions were noted in group 1 and2 respectively:-in 44 and 66 levels for anterior column,-in22 and 131 levels for posterior column,-in 0 and 36 levelsfor spinal canal. All these differences were statisticallysignificant. Intra and Interobserver agreements were good.Conclusion: The T1FSGd sequence is more sensitive thanT2FS to show the degenerative inflammatory lumbar spinelesions, especially in spinal canal and posterior column.

Face Short-Term Memory-Related Electroencephalographic Patterns can Differentiate Multi- versus Single-Domain Amnestic Mild Cognitive Impairment.

Amnestic mild cognitive impairment (aMCI) is characterized by memory deficits alone (single-domain, sd-aMCI) or associated with other cognitive disabilities (multi-domain, md-aMCI). The present study assessed the patterns of electroencephalographic (EEG) activity during the encoding and retrieval phases of short-term memory in these two aMCI subtypes, to identify potential functional differences according to the neuropsychological profile. Continuous EEG was recorded in 43 aMCI patients, whose 16 sd-aMCI and 27 md-aMCI, and 36 age-matched controls (EC) during delayed match-to-sample tasks for face and letter stimuli. At encoding, attended stimuli elicited parietal alpha (8-12 Hz) power decrease (desynchronization), whereas distracting stimuli were associated with alpha power increase (synchronization) over right central sites. No difference was observed in parietal alpha desynchronization among the three groups. For attended faces, the alpha synchronization underlying suppression of distracting letters was reduced in both aMCI subgroups, but more severely in md-aMCI cases that differed significantly from EC. At retrieval, the early N250r recognition effect was significantly reduced for faces in md-aMCI as compared to both sd-aMCI and EC. The results suggest a differential alteration of working memory cerebral processes for faces in the two aMCI subtypes, face covert recognition processes being specifically altered in md-aMCI.

CSF biomarkers for the differential diagnosis of Alzheimer's disease: A large-scale international multicenter study.

INTRODUCTION: The aim of this study was to test the diagnostic value of cerebrospinal fluid (CSF) beta-amyloid (Aβ1-42), phosphorylated tau, and total tau (tau) to discriminate Alzheimer's disease (AD) dementia from other forms of dementia. METHODS: A total of 675 CSF samples collected at eight memory clinics were obtained from healthy controls, AD dementia, subjective memory impairment, mild cognitive impairment, vascular dementia, Lewy body dementia (LBD), fronto-temporal dementia (FTD), depression, or other neurological diseases. RESULTS: CSF Aβ1-42 showed the best diagnostic accuracy among the CSF biomarkers. At a sensitivity of 85%, the specificity to differentiate AD dementia against other diagnoses ranged from 42% (for LBD, 95% confidence interval or CI = 32-62) to 77% (for FTD, 95% CI = 62-90). DISCUSSION: CSF Aβ1-42 discriminates AD dementia from FTD, but shows significant overlap with other non-AD forms of dementia, possibly reflecting the underlying mixed pathologies.