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Dive into the research topics where Magda Tsolaki is active.

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Featured researches published by Magda Tsolaki.


Nature Genetics | 2009

Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease.

Denise Harold; Richard Abraham; Paul Hollingworth; Rebecca Sims; Amy Gerrish; Marian Lindsay Hamshere; Jaspreet Singh Pahwa; Valentina Moskvina; Kimberley Dowzell; Amy Williams; Nicola L. Jones; Charlene Thomas; Alexandra Stretton; Angharad R. Morgan; Simon Lovestone; John Powell; Petroula Proitsi; Michelle K. Lupton; Carol Brayne; David C. Rubinsztein; Michael Gill; Brian A. Lawlor; Aoibhinn Lynch; Kevin Morgan; Kristelle Brown; Peter Passmore; David Craig; Bernadette McGuinness; Stephen Todd; Clive Holmes

We undertook a two-stage genome-wide association study (GWAS) of Alzheimers disease (AD) involving over 16,000 individuals, the most powerful AD GWAS to date. In stage 1 (3,941 cases and 7,848 controls), we replicated the established association with the apolipoprotein E (APOE) locus (most significant SNP, rs2075650, P = 1.8 × 10−157) and observed genome-wide significant association with SNPs at two loci not previously associated with the disease: at the CLU (also known as APOJ) gene (rs11136000, P = 1.4 × 10−9) and 5′ to the PICALM gene (rs3851179, P = 1.9 × 10−8). These associations were replicated in stage 2 (2,023 cases and 2,340 controls), producing compelling evidence for association with Alzheimers disease in the combined dataset (rs11136000, P = 8.5 × 10−10, odds ratio = 0.86; rs3851179, P = 1.3 × 10−9, odds ratio = 0.86).


Archive | 2009

Letter abstract - Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's Disease

Denise Harold; Richard Abraham; Paul Hollingworth; Rebecca Sims; Amy Gerrish; Marian Lindsay Hamshere; Jaspreet Sing Pahwa; Valentina Moskvina; Kimberley Dowzell; Amy Williams; Nicola L. Jones; Charlene Thomas; Alexandra Stretton; Angharad R. Morgan; Simon Lovestone; John Powell; Petroula Proitsi; Michelle K. Lupton; Carol Brayne; David C. Rubinsztein; Michael Gill; Brian A. Lawlor; Aoibhinn Lynch; Kevin Morgan; Kristelle Brown; Peter Passmore; David Craig; Bernadette McGuinness; Stephen Todd; Clive Holmes

We undertook a two-stage genome-wide association study (GWAS) of Alzheimers disease (AD) involving over 16,000 individuals, the most powerful AD GWAS to date. In stage 1 (3,941 cases and 7,848 controls), we replicated the established association with the apolipoprotein E (APOE) locus (most significant SNP, rs2075650, P = 1.8 × 10−157) and observed genome-wide significant association with SNPs at two loci not previously associated with the disease: at the CLU (also known as APOJ) gene (rs11136000, P = 1.4 × 10−9) and 5′ to the PICALM gene (rs3851179, P = 1.9 × 10−8). These associations were replicated in stage 2 (2,023 cases and 2,340 controls), producing compelling evidence for association with Alzheimers disease in the combined dataset (rs11136000, P = 8.5 × 10−10, odds ratio = 0.86; rs3851179, P = 1.3 × 10−9, odds ratio = 0.86).


JAMA | 2009

CSF Biomarkers and Incipient Alzheimer Disease in Patients With Mild Cognitive Impairment

Niklas Mattsson; Henrik Zetterberg; Oskar Hansson; Niels Andreasen; Lucilla Parnetti; Michael Jonsson; Sanna-Kaisa Herukka; Wiesje M. van der Flier; Marinus A. Blankenstein; Michael Ewers; Kenneth Rich; Elmar Kaiser; Marcel M. Verbeek; Magda Tsolaki; Ezra Mulugeta; Erik Rosén; Dag Aarsland; Pieter Jelle Visser; Johannes Schröder; Jan Marcusson; Mony J. de Leon; Harald Hampel; Philip Scheltens; Tuula Pirttilä; Anders Wallin; Maria Eriksdotter Jönhagen; Lennart Minthon; Bengt Winblad; Kaj Blennow

CONTEXT Small single-center studies have shown that cerebrospinal fluid (CSF) biomarkers may be useful to identify incipient Alzheimer disease (AD) in patients with mild cognitive impairment (MCI), but large-scale multicenter studies have not been conducted. OBJECTIVE To determine the diagnostic accuracy of CSF beta-amyloid(1-42) (Abeta42), total tau protein (T-tau), and tau phosphorylated at position threonine 181 (P-tau) for predicting incipient AD in patients with MCI. DESIGN, SETTING, AND PARTICIPANTS The study had 2 parts: a cross-sectional study involving patients with AD and controls to identify cut points, followed by a prospective cohort study involving patients with MCI, conducted 1990-2007. A total of 750 individuals with MCI, 529 with AD, and 304 controls were recruited by 12 centers in Europe and the United States. Individuals with MCI were followed up for at least 2 years or until symptoms had progressed to clinical dementia. MAIN OUTCOME MEASURES Sensitivity, specificity, positive and negative likelihood ratios (LRs) of CSF Abeta42, T-tau, and P-tau for identifying incipient AD. RESULTS During follow-up, 271 participants with MCI were diagnosed with AD and 59 with other dementias. The Abeta42 assay in particular had considerable intersite variability. Patients who developed AD had lower median Abeta42 (356; range, 96-1075 ng/L) and higher P-tau (81; range, 15-183 ng/L) and T-tau (582; range, 83-2174 ng/L) levels than MCI patients who did not develop AD during follow-up (579; range, 121-1420 ng/L for Abeta42; 53; range, 15-163 ng/L for P-tau; and 294; range, 31-2483 ng/L for T-tau, P < .001). The area under the receiver operating characteristic curve was 0.78 (95% confidence interval [CI], 0.75-0.82) for Abeta42, 0.76 (95% CI, 0.72-0.80) for P-tau, and 0.79 (95% CI, 0.76-0.83) for T-tau. Cut-offs with sensitivity set to 85% were defined in the AD and control groups and tested in the MCI group, where the combination of Abeta42/P-tau ratio and T-tau identified incipient AD with a sensitivity of 83% (95% CI, 78%-88%), specificity 72% (95% CI, 68%-76%), positive LR, 3.0 (95% CI, 2.5-3.4), and negative LR, 0.24 (95% CI, 0.21-0.28). The positive predictive value was 62% and the negative predictive value was 88%. CONCLUSIONS This multicenter study found that CSF Abeta42, T-tau, and P-tau identify incipient AD with good accuracy, but less accurately than reported from single-center studies. Intersite assay variability highlights a need for standardization of analytical techniques and clinical procedures.


Lancet Neurology | 2009

Prevalence and prognostic value of CSF markers of Alzheimer's disease pathology in patients with subjective cognitive impairment or mild cognitive impairment in the DESCRIPA study: a prospective cohort study

Pieter Jelle Visser; Frans R.J. Verhey; Dirk L. Knol; Philip Scheltens; Lars-Olof Wahlund; Yvonne Freund-Levi; Magda Tsolaki; Lennart Minthon; Åsa K. Wallin; Harald Hampel; Katharina Bürger; Tuula Pirttilä; Hilkka Soininen; Marcel G. M. Olde Rikkert; Marcel M. Verbeek; Luiza Spiru; Kaj Blennow

BACKGROUND Alzheimers disease (AD) pathology is common in patients with amnestic mild cognitive impairment (aMCI) without dementia, but the prevalence of AD pathology in patients with subjective cognitive impairment (SCI) and non-amnestic mild cognitive impairment (naMCI) is unknown. AD is characterised by decreased CSF concentrations of Abeta(42) and increased concentrations of tau. We investigated the prevalence of a CSF AD profile in patients with SCI, naMCI, or aMCI and the association of this profile with cognitive outcome in each group. METHODS Patients with SCI, naMCI, aMCI, and neurologically healthy controls were recruited from 20 memory clinics across Europe, between January, 2003, and June, 2005, into this prospective cohort study. A CSF AD profile was defined as an abnormal ratio of Abeta(42):tau. Patients were assessed annually up to 3 years. Outcome measures were changes in memory, overall cognition, mini-mental state examination (MMSE) score, daily function, and progression to AD-type dementia. FINDINGS The CSF AD profile was more common in patients with SCI (31 of 60 [52%]), naMCI (25 of 37 [68%]), and aMCI (56 of 71 [79%]) than in healthy controls (28 of 89 [31%]). The profile was associated with cognitive decline in patients with naMCI (memory, MMSE, and daily function) and in patients with aMCI (MMSE and daily function). In patients with aMCI, a CSF AD profile was predictive of AD-type dementia (OR 26.8, 95% CI 1.6-456.4). INTERPRETATION AD is a common cause of SCI, naMCI, and aMCI and is associated with cognitive decline in patients with naMCI or aMCI. Patients with SCI might be in the early stages of AD, and cognitive decline might become apparent only after longer follow-up. FUNDING European Commission; Ana Aslan International Foundation.


Archives of General Psychiatry | 2010

Association of Plasma Clusterin Concentration With Severity, Pathology, and Progression in Alzheimer Disease

Madhav Thambisetty; Andrew Simmons; Latha Velayudhan; Abdul Hye; James J. Campbell; Yi Zhang; Lars Olof Wahlund; Eric Westman; Anna Kinsey; Andreas Güntert; Petroula Proitsi; John Powell; Mirsada Causevic; Richard Killick; Katie Lunnon; Steven Lynham; Martin Broadstock; Fahd Choudhry; David R. Howlett; Robert J. Williams; Sally I. Sharp; Cathy Mitchelmore; Catherine Tunnard; Rufina Leung; Catherine Foy; Darragh O'Brien; Gerome Breen; Simon J. Furney; Malcolm Ward; Iwona Kloszewska

CONTEXT Blood-based analytes may be indicators of pathological processes in Alzheimer disease (AD). OBJECTIVE To identify plasma proteins associated with AD pathology using a combined proteomic and neuroimaging approach. DESIGN Discovery-phase proteomics to identify plasma proteins associated with correlates of AD pathology. Confirmation and validation using immunodetection in a replication set and an animal model. SETTING A multicenter European study (AddNeuroMed) and the Baltimore Longitudinal Study of Aging. PARTICIPANTS Patients with AD, subjects with mild cognitive impairment, and healthy controls with standardized clinical assessments and structural neuroimaging. MAIN OUTCOME MEASURES Association of plasma proteins with brain atrophy, disease severity, and rate of clinical progression. Extension studies in humans and transgenic mice tested the association between plasma proteins and brain amyloid. RESULTS Clusterin/apolipoprotein J was associated with atrophy of the entorhinal cortex, baseline disease severity, and rapid clinical progression in AD. Increased plasma concentration of clusterin was predictive of greater fibrillar amyloid-beta burden in the medial temporal lobe. Subjects with AD had increased clusterin messenger RNA in blood, but there was no effect of single-nucleotide polymorphisms in the gene encoding clusterin with gene or protein expression. APP/PS1 transgenic mice showed increased plasma clusterin, age-dependent increase in brain clusterin, as well as amyloid and clusterin colocalization in plaques. CONCLUSIONS These results demonstrate an important role of clusterin in the pathogenesis of AD and suggest that alterations in amyloid chaperone proteins may be a biologically relevant peripheral signature of AD.


Lancet Neurology | 2010

Memantine for patients with Parkinson's disease dementia or dementia with Lewy bodies: a randomised, double-blind, placebo-controlled trial.

Murat Emre; Magda Tsolaki; Ubaldo Bonuccelli; Alain Destée; Eduardo Tolosa; Alexandra Kutzelnigg; Andrés Ceballos-Baumann; Slobodan Zdravkovic; Anna Bladström; Roy W. Jones

BACKGROUND Previous studies have suggested that patients with Lewy-body-related dementias might benefit from treatment with the N-methyl D-aspartate receptor antagonist memantine, but further data are needed. Therefore, the efficacy and safety of memantine were investigated in patients with mild to moderate Parkinsons disease dementia (PDD) or dementia with Lewy bodies (DLB). METHODS Patients (≥50 years of age) with mild to moderate PDD or DLB were recruited from 30 specialist centres in Austria, France, Germany, the UK, Greece, Italy, Spain, and Turkey. They were randomly assigned to placebo or memantine (20 mg per day) according to a computer-generated list. Patients and all physicians who had contact with them were masked to treatment assignment. No primary endpoint was defined. Safety analyses were done for all patients who took at least one dose of memantine or placebo, and efficacy analyses were done for all patients who had at least one valid postbaseline assessment. This trial is registered with ClinicalTrials.gov, number NCT00855686. FINDINGS Of the 199 patients randomly assigned to treatment, 34 with DLB and 62 with PDD were given memantine, and 41 with DLB and 58 with PDD were given placebo. 159 (80%) patients completed the study: 80 in the memantine group and 79 in the placebo group. 93 patients treated with memantine and 97 patients treated with placebo were included in the efficacy analysis. At week 24, patients with DLB who received memantine showed greater improvement according to Alzheimers disease cooperative study (ADCS)-clinical global impression of change scores than did those who received placebo (mean change from baseline 3·3 vs 3·9, respectively, difference -0·6 [95% CI -1·2 to -0·1]; p=0·023). No significant differences were noted between the two treatments in patients with PDD (3·6 with memantine vs 3·8 with placebo, -0·1 [-0·6 to 0·3]; p=0·576) or in the total population (3·5 with memantine vs 3·8 with placebo, -0·3 [-0·7 to 0·1]; p=0·120). Neuropsychiatric-inventory scores showed significantly greater improvement in the memantine group than in the placebo group (-4·3 vs 1·7, respectively, -5·9 [-11·6 to -0·2]; p=0·041) in patients with DLB, but not in those with PDD (-1·6 vs -0·1, respectively, -1·4 [-5·9 to 3·0]; p=0·522) or in the total patient population (-2·6 vs 0·4, respectively, -2·9 [-6·3 to 0·5]; p=0·092). In most of the cognitive test scores, ADCS-activities of daily living, and Zarit caregiver burden scores, there were no significant differences between the two treatment groups in any of the study populations. The incidence of adverse events and number of discontinuations due to adverse events were similar in the two groups. The most common serious adverse events were stroke (n=3 in memantine group), falls (n=2 in memantine group; n=1 in placebo group), and worsening of dementia (n=2 in memantine group). INTERPRETATION Memantine seems to improve global clinical status and behavioural symptoms of patients with mild to moderate DLB, and might be an option for treatment of these patients. FUNDING Lundbeck.


Dementia and Geriatric Cognitive Disorders | 2007

Neuropsychiatric syndromes in dementia - Results from the European Alzheimer Disease Consortium: Part I

Pauline Aalten; Frans R.J. Verhey; Marina Boziki; Roger Bullock; Eleanor Jane Byrne; Vincent Camus; Miriam Caputo; Debby Collins; Peter Paul De Deyn; Kazi Elina; Giovanni B. Frisoni; Nicola Girtler; Clive Holmes; Catherine S. Hurt; Anna Marriott; Patrizia Mecocci; Flavio Nobili; Pierre Jean Ousset; Emma Reynish; Eric Salmon; Magda Tsolaki; Bruno Vellas; Philippe Robert

Background/Aims: The aim of this study was to identify neuropsychiatric subsyndromes of the Neuropsychiatric Inventory in a large sample of outpatients with Alzheimer’s disease (AD). Methods: Cross-sectional data of 2,354 patients with AD from 12 centres from the European Alzheimer’s Disease Consortium were collected. Principal component analysis was used for factor analysis. Results: The results showed the presence of 4 neuropsychiatric subsyndromes: hyperactivity, psychosis, affective symptoms and apathy. The subsyndrome apathy was the most common, occurring in almost 65% of the patients. Conclusion: This large study has provided additional robust evidence for the existence of neuropsychiatric subsyndromes in AD.


Dementia and Geriatric Cognitive Disorders | 2008

Consistency of Neuropsychiatric Syndromes across Dementias: Results from the European Alzheimer Disease Consortium

Pauline Aalten; Frans R.J. Verhey; Marina Boziki; Andrea Brugnolo; Roger Bullock; Eleanor Jane Byrne; Vincent Camus; Miriam Caputo; Debby Collins; Peter Paul De Deyn; Kazi Elina; Giovanni B. Frisoni; Clive Holmes; Catherine S. Hurt; Anna Marriott; Patrizia Mecocci; Flavio Nobili; Pierre Jean Ousset; Emma Reynish; Eric Salmon; Magda Tsolaki; Bruno Vellas; Philippe Robert

Background/Aims: The aim of this study was to determine the consistency of neuropsychiatric subsyndromes of the Neuropsychiatric Inventory across several clinical and demographic subgroups (e.g. dementia subtypes, dementia severity, medication use, age and gender) in a large sample of outpatients with dementia. Methods: Cross-sectional data of 2,808 patients with dementia from 12 centres from the European Alzheimer’s Disease Consortium were collected. Principal component analysis was used for factor analysis. Subanalyses were performed for dementia subtypes, dementia severity, medication use, age and gender. Results: The results showed the relatively consistent presence of the 4 neuropsychiatric subsyndromes ‘hyperactivity’, ‘psychosis’, ‘affective symptoms’ and ‘apathy’ across the subanalyses. The factor structure was not dependent on dementia subtypes, age and gender but was dependent on dementia severity and cholinesterase use. The factors hyperactivity and affective symptoms were present in all subanalyses, but the presence of the factors apathy and psychosis was dependent on use of cholinesterase inhibitors and dementia severity, respectively. Conclusion: The present study provided evidence of the relative consistency of neuropsychiatric subsyndromes across dementia subtypes, age and gender, thereby stressing the importance of thinking about neuropsychiatric subsyndromes instead of separate symptoms. However, the subsyndromes apathy and psychosis were dependent on use of cholinesterase inhibitors and dementia severity.


Alzheimers & Dementia | 2014

The cerebrospinal fluid "Alzheimer profile": Easily said, but what does it mean?

Flora H. Duits; Charlotte E. Teunissen; Femke H. Bouwman; Pieter Jelle Visser; Niklas Mattsson; Henrik Zetterberg; Kaj Blennow; Oskar Hansson; Lennart Minthon; Niels Andreasen; Jan Marcusson; Anders Wallin; Marcel G. M. Olde Rikkert; Magda Tsolaki; Lucilla Parnetti; Sanna-Kaisa Herukka; Harald Hampel; Mony J. de Leon; Johannes Schröder; Dag Aarsland; Marinus A. Blankenstein; Philip Scheltens; Wiesje M. van der Flier

We aimed to identify the most useful definition of the “cerebrospinal fluid Alzheimer profile,” based on amyloid‐ß1‐42 (Aβ42), total tau, and phosphorylated tau (p‐tau), for diagnosis and prognosis of Alzheimers disease (AD).


NeuroImage | 2011

Automated hippocampal shape analysis predicts the onset of dementia in Mild Cognitive Impairment

Sergi G. Costafreda; Ivo D. Dinov; Zhuowen Tu; Yonggang Shi; Cheng Yi Liu; Iwona Kloszewska; Patrizia Mecocci; Hilkka Soininen; Magda Tsolaki; Bruno Vellas; Lars Olof Wahlund; Christian Spenger; Arthur W. Toga; Simon Lovestone; Andrew Simmons

The hippocampus is involved at the onset of the neuropathological pathways leading to Alzheimers disease (AD). Individuals with mild cognitive impairment (MCI) are at increased risk of AD. Hippocampal volume has been shown to predict which MCI subjects will convert to AD. Our aim in the present study was to produce a fully automated prognostic procedure, scalable to high throughput clinical and research applications, for the prediction of MCI conversion to AD using 3D hippocampal morphology. We used an automated analysis for the extraction and mapping of the hippocampus from structural magnetic resonance scans to extract 3D hippocampal shape morphology, and we then applied machine learning classification to predict conversion from MCI to AD. We investigated the accuracy of prediction in 103 MCI subjects (mean age 74.1 years) from the longitudinal AddNeuroMed study. Our model correctly predicted MCI conversion to dementia within a year at an accuracy of 80% (sensitivity 77%, specificity 80%), a performance which is competitive with previous predictive models dependent on manual measurements. Categorization of MCI subjects based on hippocampal morphology revealed more rapid cognitive deterioration in MMSE scores (p<0.01) and CERAD verbal memory (p<0.01) in those subjects who were predicted to develop dementia relative to those predicted to remain stable. The pattern of atrophy associated with increased risk of conversion demonstrated initial degeneration in the anterior part of the cornus ammonis 1 (CA1) hippocampal subregion. We conclude that automated shape analysis generates sensitive measurements of early neurodegeneration which predates the onset of dementia and thus provides a prognostic biomarker for conversion of MCI to AD.

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Hilkka Soininen

University of Eastern Finland

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Iwona Kloszewska

Medical University of Łódź

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