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Search: WFRF:(Simmons A)

  • Result 651-660 of 684
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651.
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652.
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653.
  • Lundberg, Pernilla, et al. (author)
  • Greater bone formation of Y2 knockout mice is associated with increased osteoprogenitor numbers and altered Y1 receptor expression.
  • 2007
  • In: Journal of Biological Chemistry. - 0021-9258 .- 1083-351X. ; 282:26, s. 19082-19091
  • Journal article (peer-reviewed)abstract
    • Germ line or hypothalamus-specific deletion of Y2 receptors in mice results in a doubling of trabecular bone volume. However, the specific mechanism by which deletion of Y2 receptors increases bone mass has not yet been identified. Here we show that cultured adherent bone marrow stromal cells from Y2(-/-) mice also demonstrate increased mineralization in vitro. Isolation of two populations of progenitor cell types, an immature mesenchymal stem cell population and a more highly differentiated population of progenitor cells, revealed a greater number of the progenitor cells within the bone of Y2(-/-) mice. Analysis of Y receptor transcripts in cultured stromal cells from wild-type mice revealed high levels of Y1 but not Y2, Y4, Y5, or y6 receptor mRNA. Interestingly, germ line Y2 receptor deletion causes Y1 receptor down-regulation in stromal cells and bone tissue possibly due to the lack of feedback inhibition of NPY release and subsequent overstimulation of Y1 receptors. Furthermore, deletion of Y1 receptors resulted in increased bone mineral density in mice. Together, these findings indicate that the greater number of mesenchymal progenitors and the altered Y1 receptor expression within bone cells in the absence of Y2 receptors are a likely mechanism for the greater bone mineralization in vivo and in vitro, opening up potential new treatment avenues for osteoporosis.
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654.
  • Mangialasche, Francesca, et al. (author)
  • Classification and prediction of clinical diagnosis of Alzheimer's disease based on MRI and plasma measures of α-/γ-tocotrienols and γ-tocopherol.
  • 2013
  • In: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 273:6, s. 602-621
  • Journal article (peer-reviewed)abstract
    • Background: The aim of this study was to evaluate the accuracy of combined structural magnetic resonance imaging (MRI) measures and plasma levels of vitamin E forms, including all eight natural vitamin E congeners (four tocopherols and four tocotrienols) and markers of vitamin E oxidative/nitrosative damage, in differentiating individuals with Alzheimer's disease (AD) and mild cognitive impairment (MCI) from cognitively intact control (CTL) subjects.Methods: Overall, 81 patients with AD, 86 with MCI and 86 CTL individuals were enrolled from the longitudinal multicentre AddNeuroMed study. MRI and plasma vitamin E data were acquired at baseline. MRI scans were analysed using Freesurfer, an automated segmentation scheme which generates regional volume and cortical thickness measures. Orthogonal partial least squares to latent structures (OPLS), a multivariate data analysis technique, was used to analyse MRI and vitamin E measures in relation to AD and MCI diagnosis.Results: The joint evaluation of MRI and plasma vitamin E measures enhanced the accuracy of differentiating individuals with AD and MCI from CTL subjects: 98.2% (sensitivity 98.8%, specificity 97.7%) for AD versus CTL, and 90.7% (sensitivity 91.8%, specificity 89.5%) for MCI versus CTL. This combination of measures also identified 85% of individuals with MCI who converted to clinical AD at follow-up after 1 year.Conclusions: Plasma levels of tocopherols and tocotrienols together with automated MRI measures can help to differentiate AD and MCI patients from CTL subjects, and to prospectively predict MCI conversion into AD. Our results suggest the potential role of nutritional biomarkers detected in plasma–tocopherols and tocotrienols–as indirect indicators of AD pathology, and the utility of a multimodality approach.
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655.
  • Martensson, G., et al. (author)
  • Stability of graph theoretical measures in structural brain networks in Alzheimer's disease
  • 2018
  • In: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 8
  • Journal article (peer-reviewed)abstract
    • Graph analysis has become a popular approach to study structural brain networks in neurodegenerative disorders such as Alzheimer's disease (AD). However, reported results across similar studies are often not consistent. In this paper we investigated the stability of the graph analysis measures clustering, path length, global efficiency and transitivity in a cohort of AD (N = 293) and control subjects (N = 293). More specifically, we studied the effect that group size and composition, choice of neuroanatomical atlas, and choice of cortical measure (thickness or volume) have on binary and weighted network properties and relate them to the magnitude of the differences between groups of AD and control subjects. Our results showed that specific group composition heavily influenced the network properties, particularly for groups with less than 150 subjects. Weighted measures generally required fewer subjects to stabilize and all assessed measures showed robust significant differences, consistent across atlases and cortical measures. However, all these measures were driven by the average correlation strength, which implies a limitation of capturing more complex features in weighted networks. In binary graphs, significant differences were only found in the global efficiency and transitivity measures when using cortical thickness measures to define edges. The findings were consistent across the two atlases, but no differences were found when using cortical volumes. Our findings merits future investigations of weighted brain networks and suggest that cortical thickness measures should be preferred in future AD studies if using binary networks. Further, studying cortical networks in small cohorts should be complemented by analyzing smaller, subsampled groups to reduce the risk that findings are spurious.
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656.
  • Mazzola, Federico, et al. (author)
  • Disentangling phonon and impurity interactions in delta-doped Si(001)
  • 2014
  • In: Applied Physics Letters. - : AIP Publishing. - 0003-6951 .- 1077-3118. ; 104:17
  • Journal article (peer-reviewed)abstract
    • We present a study of the phonon and impurity interactions in a shallow two dimensional electron gas formed in Si(001). A highly conductive ultra-narrow n-type dopant delta-layer, which serves as a platform for quantum computation architecture, is formed and studied by angle resolved photoemission spectroscopy (ARPES) and temperature dependent nanoscale 4-point probe (4PP). The bandstructure of the delta-layer state is both measured and simulated. At 100 K, good agreement is only achieved by including interactions; electron-impurity scattering (W-0 = 56 to 61 meV); and electron-phonon coupling (lambda = 0.14 +/- 0.04). These results are shown to be consistent with temperature dependent 4PP resistance measurements which indicate that at 100 K, approximate to 7/8 of the measured resistance is due to impurity scattering with the remaining 1/8 coming from phonon interactions. In both resistance and bandstructure measurements, the impurity contribution exhibits a variability of approximate to 9% for nominally identical samples. The combination of ARPES and 4PP affords a thorough insight into the relevant contributions to electrical resistance in reduced dimensionality electronic platforms. (C) 2014 AIP Publishing LLC.
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657.
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658.
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659.
  • Orellana, C, et al. (author)
  • Measuring Global Brain Atrophy with the Brain Volume/Cerebrospinal Fluid Index: Normative Values, Cut-Offs and Clinical Associations
  • 2016
  • In: Neuro-degenerative diseases. - : S. Karger AG. - 1660-2862 .- 1660-2854. ; 16:1-2, s. 77-86
  • Journal article (peer-reviewed)abstract
    • <b><i>Background:</i></b> Global brain atrophy is present in normal aging and different neurodegenerative disorders such as Alzheimer's disease (AD) and is becoming widely used to monitor disease progression. <b><i>Summary:</i></b> The brain volume/cerebrospinal fluid index (BV/CSF index) is validated in this study as a measurement of global brain atrophy. We tested the ability of the BV/CSF index to detect global brain atrophy, investigated the influence of confounders, provided normative values and cut-offs for mild, moderate and severe brain atrophy, and studied associations with different outcome variables. A total of 1,009 individuals were included [324 healthy controls, 408 patients with mild cognitive impairment (MCI) and 277 patients with AD]. Magnetic resonance images were segmented using FreeSurfer, and the BV/CSF index was calculated and studied both cross-sectionally and longitudinally (1-year follow-up). Both AD patients and MCI patients who progressed to AD showed greater global brain atrophy compared to stable MCI patients and controls. Atrophy was associated with older age, larger intracranial volume, less education and presence of the ApoE ε4 allele. Significant correlations were found with clinical variables, CSF biomarkers and several cognitive tests. <b><i>Key Messages:</i></b> The BV/CSF index may be useful for staging individuals according to the degree of global brain atrophy, and for monitoring disease progression. It also shows potential for predicting clinical changes and for being used in the clinical routine.
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  • Result 651-660 of 684
Type of publication
journal article (530)
conference paper (14)
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other publication (2)
book chapter (2)
Type of content
peer-reviewed (651)
other academic/artistic (24)
Author/Editor
Esposito, B. (489)
Chen, X. (464)
Adye, T. (463)
Aleksa, M. (463)
Amelung, C. (463)
Arai, Y. (463)
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Arnaez, O. (463)
Asquith, L. (463)
Backes, M. (463)
Baker, O. K. (463)
Banas, E. (463)
Barklow, T. (463)
Beau, T. (463)
Beck, H. P. (463)
Bella, G. (463)
Benary, O. (463)
Benekos, N. (463)
Berry, T. (463)
Bilokon, H. (463)
Boehler, M. (463)
Borisov, A. (463)
Bulekov, O. (463)
Burke, S. (463)
Busato, E. (463)
Carli, T. (463)
Caron, S. (463)
Casadei, D. (463)
Chen, H. (463)
Cheu, E. (463)
Cinca, D. (463)
Cindro, V. (463)
Clark, A. (463)
Cote, D. (463)
Cox, B. E. (463)
Cranmer, K. (463)
D'Auria, S. (463)
Dai, T. (463)
Dam, M. (463)
Dao, V. (463)
Davidek, T. (463)
Dawson, I. (463)
Dobos, D. (463)
Dopke, J. (463)
Dudarev, A. (463)
Eifert, T. (463)
Eigen, G. (463)
Elles, S. (463)
Escobar, C. (463)
Etzion, E. (463)
Farbin, A. (463)
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University
Lund University (338)
Uppsala University (337)
Royal Institute of Technology (328)
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University of Gothenburg (17)
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Language
English (684)
Research subject (UKÄ/SCB)
Natural sciences (377)
Medical and Health Sciences (57)
Engineering and Technology (17)
Social Sciences (6)

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