Amyloid and tau cerebrospinal fluid biomarkers in HIV infection

<p>Abstract</p> <p>Background</p> <p>Because of the emerging intersections of HIV infection and Alzheimer's disease, we examined cerebrospinal fluid (CSF) biomarkers related of amyloid and tau metabolism in HIV-infected patients.</p> <p>Methods</p> <p>In this cross-sectional study we measured soluble amyloid precursor proteins alpha and beta (sAPPα and sAPPβ), amyloid beta fragment 1-42 (Aβ_1-42), and total and hyperphosphorylated tau (t-tau and p-tau) in CSF of 86 HIV-infected (HIV+) subjects, including 21 with AIDS dementia complex (ADC), 25 with central nervous system (CNS) opportunistic infections and 40 without neurological symptoms and signs. We also measured these CSF biomarkers in 64 uninfected (HIV-) subjects, including 21 with Alzheimer's disease, and both younger and older controls without neurological disease.</p> <p>Results</p> <p>CSF sAPPα and sAPPβ concentrations were highly correlated and reduced in patients with ADC and opportunistic infections compared to the other groups. The opportunistic infection group but not the ADC patients had lower CSF Aβ_1-42in comparison to the other HIV+ subjects. CSF t-tau levels were high in some ADC patients, but did not differ significantly from the HIV+ neuroasymptomatic group, while CSF p-tau was not increased in any of the HIV+ groups. Together, CSF amyloid and tau markers segregated the ADC patients from both HIV+ and HIV- neuroasymptomatics and from Alzheimer's disease patients, but not from those with opportunistic infections.</p> <p>Conclusions</p> <p>Parallel reductions of CSF sAPPα and sAPPβ in ADC and CNS opportunistic infections suggest an effect of CNS immune activation or inflammation on neuronal amyloid synthesis or processing. Elevation of CSF t-tau in some ADC and CNS infection patients without concomitant increase in p-tau indicates neural injury without preferential accumulation of hyperphosphorylated tau as found in Alzheimer's disease. These biomarker changes define pathogenetic pathways to brain injury in ADC that differ from those of Alzheimer's disease.</p

Productivity of airline carriers and its relation to deregulation, privatisation and membership in strategic alliances

This study looks at how deregulation, privatisation and the formation of strategic alliances have affected the productivity of international airlines. We evaluate all three factors simultaneously and disaggregate the carriers’ operations into production and sales and allow for unobserved firm-level heterogeneity through random parameters. Estimations of stochastic frontier models reveal that on the aggregate level, deregulation increases productivity, membership in alliances has an ambiguous effect and state ownership has no significant effect. Disaggregating the carriers’ operations confirms the productivity gains from deregulation, and that state ownership and alliances have contradictory effects.

The apolipoprotein E epsilon4 allele frequency is normal in fronto-temporal dementia, but correlates with age at onset of disease

The apolipoprotein (apoE) epsilon4 allele was studied in fronto-temporal dementia (FTD), a diagnostic category including the specific disorders Pick's disease and frontal lobe degeneration of non-Alzheimer type (FLD). These dementing diseases have neuronal and synaptic degeneration in common with Alzheimer's disease (AD), for which the presence of the apoE epsilon4 allele is a known risk factor, and lowers the age of onset of disease. Previous studies on the apoE epsilon4 allele frequency in FTD have been inconclusive. The structural hallmarks of AD, allegedly linked to apoE presentation, neuritic plaques (NP), primarily composed of aggregates of beta-amyloid, and neurofibrillary tangles (NFT), primarily composed of hyperphosphorylated tau, are lacking in FTD. However, tau-positive cytoskeletal pathology is found in Pick's disease, but not in FLD. Resolving whether the epsilon4 frequency is increased in FTD or not may thus give clues to the pathogenetic mechanism of apoE in AD. We therefore studied apoE alleles in a well characterized material of FTD patients. The epsilon4 allele frequency was similar in 25 patients with FTD (14.0%) as compared with 26 healthy controls (13.5%). A post-mortem neuropathological examination was performed in 10 cases (nine had FLD and one Pick's disease). Our finding of a normal epsilon4 allele frequency in our group of FTD, principally consisting of FLD cases, support hypotheses involving differential binding of apoE to beta-amyloid and/or tau, in the development of beta-amyloid deposition and NP formation and/or tau hyperphosphorylation and NFT formation, for the pathogenetic role of apoE in AD. The age at onset was significantly lower (P < 0.01) in FTD patients possessing the epsilon4 allele (48.7 +/- 8.0 years) than in patients not possessing this allele (58.9 +/- 7.6 years). We conclude that, although the apoE epsilon4 allele frequency is not increase in FTD, the epsilon4 allele is not an etiological factor, but may rather be an accelerating factor in the degenerative process of FTD, thereby resulting in an earlier presentation of the disorder in individuals predisposed to develop FTD

Prediction of Mild Cognitive Impairment that Evolves into Alzheimer's Disease Dementia within Two Years using a Gene Expression Signature in Blood : A Pilot Study

Background: The focus on Alzheimer's disease (AD) is shifting from dementia to the prodromal stage of the disorder, to a large extent due to increasing efforts in trying to develop disease modifying treatment for the disorder. For development of disease-modifying drugs, a reliable and accurate test for identification of mild cognitive impairment (MCI) due to AD is essential. Objective: In the present study, MCI progressing to AD will be predicted using blood-based gene expression. Material and Methods: Gene expression analysis using qPCR was performed on blood RNA from a cohort of patients with amnestic MCI (aMCI; n = 66). Within the aMCI cohort, patients progressing to AD within 1 to 2 years were grouped as MCI converters (n = 34) and the patients remaining at the MCI stage after 2 years were grouped as stable MCI (n = 32). AD and control populations were also included in the study. Results: Multivariate statistical method partial least square regression was used to develop predictive models which later were tested using leave-one-out cross validation. Gene expression signatures that identified aMCI subjects that progressed to AD within 2 years with a prediction accuracy of 74%-77% were identified for the complete dataset and subsets thereof. Conclusion: The present pilot study demonstrates for the first time that MCI that evolves into AD dementia within 2 years may be predicted by analyzing gene expression in blood. Further studies will be needed to validate this gene signature as a potential test for AD in the predementia stage

Children (2-3 years) creative activity experiences can enriching visual arts of preschool

Background: The focus on Alzheimer's disease (AD) is shifting from dementia to the prodromal stage of the disorder, to a large extent due to increasing efforts in trying to develop disease modifying treatment for the disorder. For development of disease-modifying drugs, a reliable and accurate test for identification of mild cognitive impairment (MCI) due to AD is essential. Objective: In the present study, MCI progressing to AD will be predicted using blood-based gene expression. Material and Methods: Gene expression analysis using qPCR was performed on blood RNA from a cohort of patients with amnestic MCI (aMCI; n = 66). Within the aMCI cohort, patients progressing to AD within 1 to 2 years were grouped as MCI converters (n = 34) and the patients remaining at the MCI stage after 2 years were grouped as stable MCI (n = 32). AD and control populations were also included in the study. Results: Multivariate statistical method partial least square regression was used to develop predictive models which later were tested using leave-one-out cross validation. Gene expression signatures that identified aMCI subjects that progressed to AD within 2 years with a prediction accuracy of 74%-77% were identified for the complete dataset and subsets thereof. Conclusion: The present pilot study demonstrates for the first time that MCI that evolves into AD dementia within 2 years may be predicted by analyzing gene expression in blood. Further studies will be needed to validate this gene signature as a potential test for AD in the predementia stage