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Blood-Based Biomarker Candidates of Cerebral Amyloid Using PiB PET in Non-Demented Elderly.
Westwood, Sarah; Leoni, Emanuela; Hye, Abdul; Lynham, Steven; Khondoker, Mizanur R; Ashton, Nicholas J; Kiddle, Steven J; Baird, Alison L; Sainz-Fuertes, Ricardo; Leung, Rufina; Graf, John; Hehir, Cristina Tan; Baker, David; Cereda, Cristina; Bazenet, Chantal; Ward, Malcolm; Thambisetty, Madhav; Lovestone, Simon.
Afiliação
  • Westwood S; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Leoni E; King's College London, Institute of Psychiatry, Psychology and Neuroscience, and NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK.
  • Hye A; King's College London, Institute of Psychiatry, Psychology and Neuroscience, and NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK.
  • Lynham S; Department of Brain and Behavioural Science, University of Pavia, Pavia, Italy.
  • Khondoker MR; Laboratory of Experimental Neurobiology, "C. Mondino" National Institute of Neurology Foundation, Pavia, Italy.
  • Ashton NJ; King's College London, Institute of Psychiatry, Psychology and Neuroscience, and NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK.
  • Kiddle SJ; Proteomics Core Facility, Centre of Excellence for Mass Spectrometry, Institute of Psychiatry, Kings College London, London, UK.
  • Baird AL; King's College London, Institute of Psychiatry, Psychology and Neuroscience, and NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK.
  • Sainz-Fuertes R; Department of Applied Health Research, University College London, London, UK.
  • Leung R; King's College London, Institute of Psychiatry, Psychology and Neuroscience, and NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK.
  • Graf J; MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Hehir CT; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Baker D; King's College London, Institute of Psychiatry, Psychology and Neuroscience, and NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK.
  • Cereda C; Partnerships in Care, North London Clinic, London, UK.
  • Bazenet C; King's College London, Institute of Psychiatry, Psychology and Neuroscience, and NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK.
  • Ward M; Diagnostics, Imaging and Biomedical Technologies, GE Global Research, Niskayuna, NY, USA.
  • Thambisetty M; Diagnostics, Imaging and Biomedical Technologies, GE Global Research, Niskayuna, NY, USA.
  • Lovestone S; Janssen R&D, Neurosciences, Titusville, NJ, USA.
J Alzheimers Dis ; 52(2): 561-72, 2016 03 29.
Article em En | MEDLINE | ID: mdl-27031486
Increasingly, clinical trials for Alzheimer's disease (AD) are being conducted earlier in the disease phase and with biomarker confirmation using in vivo amyloid PET imaging or CSF tau and Aß measures to quantify pathology. However, making such a pre-clinical AD diagnosis is relatively costly and the screening failure rate is likely to be high. Having a blood-based marker that would reduce such costs and accelerate clinical trials through identifying potential participants with likely pre-clinical AD would be a substantial advance. In order to seek such a candidate biomarker, discovery phase proteomic analyses using 2DGE and gel-free LC-MS/MS for high and low molecular weight analytes were conducted on longitudinal plasma samples collected over a 12-year period from non-demented older individuals who exhibited a range of 11C-PiB PET measures of amyloid load. We then sought to extend our discovery findings by investigating whether our candidate biomarkers were also associated with brain amyloid burden in disease, in an independent cohort. Seven plasma proteins, including A2M, Apo-A1, and multiple complement proteins, were identified as pre-clinical biomarkers of amyloid burden and were consistent across three time points (p <  0.05). Five of these proteins also correlated with brain amyloid measures at different stages of the disease (q <  0.1). Here we show that it is possible to detect a plasma based biomarker signature indicative of AD pathology at a stage long before the onset of clinical disease manifestation. As in previous studies, acute phase reactants and inflammatory markers dominate this signature.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Benzotiazóis / Proteínas Amiloidogênicas / Doença de Alzheimer Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Benzotiazóis / Proteínas Amiloidogênicas / Doença de Alzheimer Idioma: En Ano de publicação: 2016 Tipo de documento: Article