3,447 results on '"Blennow, K."'
Search Results
2. Association between Longitudinal Cerebrospinal Fluid Alzheimer’s Biomarkers and the Lifestyle for Brain Health (LIBRA) Index: Findings from the European Prevention of Alzheimer’s Dementia Cohort Study (EPAD LCS)
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Saunders, Tyler S., Protsiv, M., Jenkins, N. D., Solomon, A., Blennow, K., Ritchie, C., and Muniz-Terrera, G.
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- 2023
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3. Combined Evidence for a Long-Term, Clinical Slowing Effect of Multinutrient Intervention in Prodromal Alzheimer’s Disease: Post-Hoc Analysis of 3-Year Data from the LipiDiDiet Trial
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Hendrix, Suzanne B., Soininen, H., Solomon, A., Visser, P. J., van Hees, A. M. J., Counotte, D. S., Nicodemus-Johnson, J., Dickson, S. P., Blennow, K., Kivipelto, M., and Hartmann, T.
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- 2023
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4. Plasma and cerebrospinal fluid concentrations of neurofilament light protein correlate in patients with idiopathic normal pressure hydrocephalus
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Jeppsson, A., Sandelius, Å., Zettergren, A., Kern, S., Skoog, I., Blennow, K., Zetterberg, H., Wikkelsø, C., Hellström, P., and Tullberg, M.
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- 2023
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5. Effective communications on invasive alien species: Identifying communication needs of Swedish domestic garden owners
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Palmér, C., Wallin, A., Persson, J., Aronsson, M., and Blennow, K.
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- 2023
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6. Buntanetap, a Novel Translational Inhibitor of Multiple Neurotoxic Proteins, Proves to Be Safe and Promising in Both Alzheimer’s and Parkinson’s Patients
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Fang, Cheng, Hernandez, P., Liow, K., Damiano, E., Zetterberg, H., Blennow, K., Feng, D., Chen, M., and Maccecchini, M.
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- 2023
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7. Identifying clinically useful biomarkers in neurodegenerative diseases–Moving from CSF to blood
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Blennow, K., primary
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- 2024
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8. The validation status of blood biomarkers of amyloid and phospho-tau assessed with the 5-phase development framework for AD biomarkers
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Ashton, N. J., Leuzy, A., Karikari, T. K., Mattsson-Carlgren, N., Dodich, A., Boccardi, M., Corre, J., Drzezga, A., Nordberg, A., Ossenkoppele, R., Zetterberg, H., Blennow, K., Frisoni, G. B., Garibotto, V., and Hansson, O.
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- 2021
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9. 2020 update on the clinical validity of cerebrospinal fluid amyloid, tau, and phospho-tau as biomarkers for Alzheimer’s disease in the context of a structured 5-phase development framework
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Leuzy, A., Ashton, N. J., Mattsson-Carlgren, N., Dodich, A., Boccardi, M., Corre, J., Drzezga, A., Nordberg, A., Ossenkoppele, R., Zetterberg, H., Blennow, K., Frisoni, G. B., Garibotto, V., and Hansson, O.
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- 2021
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10. NFL and CXCL13 may reveal disease activity in clinically and radiologically stable MS
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Novakova, L., Axelsson, M., Malmeström, C., Zetterberg, H., Blennow, K., Svenningsson, A., and Lycke, J.
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- 2020
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11. Serum neurofilament light for detecting disease activity in individual patients in multiple sclerosis: A 48-week prospective single-center study
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Johnsson, M, primary, Stenberg, YT, additional, Farman, HH, additional, Blennow, K, additional, Zetterberg, H, additional, Malmeström, C, additional, Sandgren, S, additional, Rosenstein, I, additional, Lycke, J, additional, Axelsson, M, additional, and Novakova, L, additional
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- 2024
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12. An interim exploratory biomarker analysis of a Phase 2 clinical trial to assess the impact of CT1812 in Alzheimer’s disease
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Lizama, BN, primary, North, HA, additional, Pandey, K, additional, Williams, C, additional, Duong, D, additional, Cho, E, additional, Di Caro, V, additional, Ping, L, additional, Blennow, K, additional, Zetterberg, H, additional, Lah, J, additional, Levey, AI, additional, Grundman, M, additional, Caggiano, AO, additional, Seyfried, NT, additional, and Hamby, ME, additional
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- 2024
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13. Erratum to: Alzheimer’s Disease Composite Score: a Post-Hoc Analysis Using Data from the LipiDiDiet Trial in Prodromal Alzheimer’s Disease
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Hendrix, Suzanne B., Soininen, H., van Hees, A. M. J., Ellison, N., Visser, P. J., Solomon, A., Attali, A., Blennow, K., Kivipelto, M., and Hartmann, T.
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- 2023
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14. Neuroinflammation in Parkinson’s disease: A study with [11C]PBR28 PET and cerebrospinal fluid markers
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Al-Abdulrasul, H., Ajalin, R., Tuisku, J., Zetterberg, H., Blennow, K., Vahlberg, T., Ekblad, L., Helin, S., Forsback, S., Rinne, J.O., and Brück, A.
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- 2025
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15. Plasma neurofilament light in behavioural variant frontotemporal dementia compared to mood and psychotic disorders
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Eratne, D, Kang, M, Malpas, C, Simpson-Yap, S, Lewis, C, Dang, C, Grewal, J, Coe, A, Dobson, H, Keem, M, Chiu, W-H, Kalincik, T, Ooi, S, Darby, D, Brodtmann, A, Hansson, O, Janelidze, S, Blennow, K, Zetterberg, H, Walker, A, Dean, O, Berk, M, Wannan, C, Pantelis, C, Loi, SM, Walterfang, M, Berkovic, SF, Santillo, AF, Velakoulis, D, Eratne, D, Kang, M, Malpas, C, Simpson-Yap, S, Lewis, C, Dang, C, Grewal, J, Coe, A, Dobson, H, Keem, M, Chiu, W-H, Kalincik, T, Ooi, S, Darby, D, Brodtmann, A, Hansson, O, Janelidze, S, Blennow, K, Zetterberg, H, Walker, A, Dean, O, Berk, M, Wannan, C, Pantelis, C, Loi, SM, Walterfang, M, Berkovic, SF, Santillo, AF, and Velakoulis, D
- Abstract
OBJECTIVE: Blood biomarkers of neuronal injury such as neurofilament light (NfL) show promise to improve diagnosis of neurodegenerative disorders and distinguish neurodegenerative from primary psychiatric disorders (PPD). This study investigated the diagnostic utility of plasma NfL to differentiate behavioural variant frontotemporal dementia (bvFTD, a neurodegenerative disorder commonly misdiagnosed initially as PPD), from PPD, and performance of large normative/reference data sets and models. METHODS: Plasma NfL was analysed in major depressive disorder (MDD, n = 42), bipolar affective disorder (BPAD, n = 121), treatment-resistant schizophrenia (TRS, n = 82), bvFTD (n = 22), and compared to the reference cohort (Control Group 2, n = 1926, using GAMLSS modelling), and age-matched controls (Control Group 1, n = 96, using general linear models). RESULTS: Large differences were seen between bvFTD (mean NfL 34.9 pg/mL) and all PPDs and controls (all < 11 pg/mL). NfL distinguished bvFTD from PPD with high accuracy, sensitivity (86%), and specificity (88%). GAMLSS models using reference Control Group 2 facilitated precision interpretation of individual levels, while performing equally to or outperforming models using local controls. Slightly higher NfL levels were found in BPAD, compared to controls and TRS. CONCLUSIONS: This study adds further evidence on the diagnostic utility of NfL to distinguish bvFTD from PPD of high clinical relevance to a bvFTD differential diagnosis, and includes the largest cohort of BPAD to date. Using large reference cohorts, GAMLSS modelling and the interactive Internet-based application we developed, may have important implications for future research and clinical translation. Studies are underway investigating utility of plasma NfL in diverse neurodegenerative and primary psychiatric conditions in real-world clinical settings.
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- 2024
16. Cerebrospinal fluid neurofilament light predicts longitudinal diagnostic change in patients with psychiatric and neurodegenerative disorders
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Kang, MJY, Eratne, D, Dobson, H, Malpas, CBB, Keem, M, Lewis, C, Grewal, J, Tsoukra, V, Dang, C, Mocellin, R, Kalincik, T, Santillo, AFF, Zetterberg, H, Blennow, K, Stehmann, C, Varghese, S, Li, Q-X, Masters, CLL, Collins, S, Berkovic, SF, Evans, A, Kelso, W, Farrand, S, Loi, SMM, Walterfang, M, Velakoulis, D, Kang, MJY, Eratne, D, Dobson, H, Malpas, CBB, Keem, M, Lewis, C, Grewal, J, Tsoukra, V, Dang, C, Mocellin, R, Kalincik, T, Santillo, AFF, Zetterberg, H, Blennow, K, Stehmann, C, Varghese, S, Li, Q-X, Masters, CLL, Collins, S, Berkovic, SF, Evans, A, Kelso, W, Farrand, S, Loi, SMM, Walterfang, M, and Velakoulis, D
- Abstract
OBJECTIVE: People with neuropsychiatric symptoms often experience delay in accurate diagnosis. Although cerebrospinal fluid neurofilament light (CSF NfL) shows promise in distinguishing neurodegenerative disorders (ND) from psychiatric disorders (PSY), its accuracy in a diagnostically challenging cohort longitudinally is unknown. METHODS: We collected longitudinal diagnostic information (mean = 36 months) from patients assessed at a neuropsychiatry service, categorising diagnoses as ND/mild cognitive impairment/other neurological disorders (ND/MCI/other) and PSY. We pre-specified NfL > 582 pg/mL as indicative of ND/MCI/other. RESULTS: Diagnostic category changed from initial to final diagnosis for 23% (49/212) of patients. NfL predicted the final diagnostic category for 92% (22/24) of these and predicted final diagnostic category overall (ND/MCI/other vs. PSY) in 88% (187/212), compared to 77% (163/212) with clinical assessment alone. CONCLUSIONS: CSF NfL improved diagnostic accuracy, with potential to have led to earlier, accurate diagnosis in a real-world setting using a pre-specified cut-off, adding weight to translation of NfL into clinical practice.
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- 2024
17. Serum and CSF metabolomics analysis shows Mediterranean Ketogenic Diet mitigates risk factors of Alzheimer's disease.
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Schweickart, A, Batra, R, Neth, BJ, Martino, C, Shenhav, L, Zhang, AR, Shi, P, Karu, N, Huynh, K, Meikle, PJ, Schimmel, L, Dilmore, AH, Blennow, K, Zetterberg, H, Blach, C, Dorrestein, PC, Knight, R, Alzheimer’s Gut Microbiome Project Consortium, Craft, S, Kaddurah-Daouk, R, Krumsiek, J, Schweickart, A, Batra, R, Neth, BJ, Martino, C, Shenhav, L, Zhang, AR, Shi, P, Karu, N, Huynh, K, Meikle, PJ, Schimmel, L, Dilmore, AH, Blennow, K, Zetterberg, H, Blach, C, Dorrestein, PC, Knight, R, Alzheimer’s Gut Microbiome Project Consortium, Craft, S, Kaddurah-Daouk, R, and Krumsiek, J
- Abstract
Alzheimer's disease (AD) is influenced by a variety of modifiable risk factors, including a person's dietary habits. While the ketogenic diet (KD) holds promise in reducing metabolic risks and potentially affecting AD progression, only a few studies have explored KD's metabolic impact, especially on blood and cerebrospinal fluid (CSF). Our study involved participants at risk for AD, either cognitively normal or with mild cognitive impairment. The participants consumed both a modified Mediterranean Ketogenic Diet (MMKD) and the American Heart Association diet (AHAD) for 6 weeks each, separated by a 6-week washout period. We employed nuclear magnetic resonance (NMR)-based metabolomics to profile serum and CSF and metagenomics profiling on fecal samples. While the AHAD induced no notable metabolic changes, MMKD led to significant alterations in both serum and CSF. These changes included improved modifiable risk factors, like increased HDL-C and reduced BMI, reversed serum metabolic disturbances linked to AD such as a microbiome-mediated increase in valine levels, and a reduction in systemic inflammation. Additionally, the MMKD was linked to increased amino acid levels in the CSF, a breakdown of branched-chain amino acids (BCAAs), and decreased valine levels. Importantly, we observed a strong correlation between metabolic changes in the CSF and serum, suggesting a systemic regulation of metabolism. Our findings highlight that MMKD can improve AD-related risk factors, reverse some metabolic disturbances associated with AD, and align metabolic changes across the blood-CSF barrier.
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- 2024
18. Elevated plasma neurofilament light and glial fibrillary acidic protein in epilepsy versus nonepileptic seizures and nonepileptic disorders
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Dobson, H, Al Maawali, S, Malpas, C, Santillo, AF, Kang, M, Todaro, M, Watson, R, Yassi, N, Blennow, K, Zetterberg, H, Foster, E, Neal, A, Velakoulis, D, O'Brien, TJ, Eratne, D, Kwan, P, Dobson, H, Al Maawali, S, Malpas, C, Santillo, AF, Kang, M, Todaro, M, Watson, R, Yassi, N, Blennow, K, Zetterberg, H, Foster, E, Neal, A, Velakoulis, D, O'Brien, TJ, Eratne, D, and Kwan, P
- Abstract
OBJECTIVE: Research suggests that recurrent seizures may lead to neuronal injury. Neurofilament light chain protein (NfL) and glial fibrillary acidic protein (GFAP) levels increase in cerebrospinal fluid and blood in response to neuroaxonal damage, and they have been hypothesized as potential biomarkers for epilepsy. We examined plasma NfL and GFAP levels and their diagnostic utility in differentiating patients with epilepsy from those with psychogenic nonepileptic seizures (PNES) and other nonepileptic disorders. METHODS: We recruited consecutive adults admitted for video-electroencephalographic monitoring and formal neuropsychiatric assessment. NfL and GFAP levels were quantified and compared between different patient groups and an age-matched reference cohort (n = 1926) and correlated with clinical variables in patients with epilepsy. RESULTS: A total of 138 patients were included, of whom 104 were diagnosed with epilepsy, 22 with PNES, and 12 with other conditions. Plasma NfL and GFAP levels were elevated in patients with epilepsy compared to PNES, adjusted for age and sex (NfL p = .04, GFAP p = .04). A high proportion of patients with epilepsy (20%) had NfL levels above the 95th age-matched percentile compared to the reference cohort (5%). NfL levels above the 95th percentile of the reference cohort had a 95% positive predictive value for epilepsy. Patients with epilepsy who had NfL levels above the 95th percentile were younger than those with lower levels (37.5 vs. 43.8 years, p = .03). SIGNIFICANCE: An elevated NfL or GFAP level in an individual patient may support an underlying epilepsy diagnosis, particularly in younger adults, and cautions against a diagnosis of PNES alone. Further examination of the association between NfL and GFAP levels and specific epilepsy subtypes or seizure characteristics may provide valuable insights into disease heterogeneity and contribute to the refinement of diagnosis, understanding pathophysiological mechanisms, and formulati
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- 2024
19. Author Correction: Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores (Nature Communications, (2021), 12, 1, (3417), 10.1038/s41467-021-22491-8)
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de Rojas I., de Rojas, I, Moreno-Grau, S, Tesi, N, Grenier-Boley, B, Andrade, V, Jansen, I, Pedersen, N, Stringa, N, Zettergren, A, Hernandez, I, Montrreal, L, Antunez, C, Antonell, A, Tankard, R, Bis, J, Sims, R, Bellenguez, C, Quintela, I, Gonzalez-Perez, A, Calero, M, Franco-Macias, E, Macias, J, Blesa, R, Cervera-Carles, L, Menendez-Gonzalez, M, Frank-Garcia, A, Royo, J, Moreno, F, Huerto Vilas, R, Baquero, M, Diez-Fairen, M, Lage, C, Garcia-Madrona, S, Garcia-Gonzalez, P, Alarcon-Martin, E, Valero, S, Sotolongo-Grau, O, Ullgren, A, Naj, A, Lemstra, A, Benaque, A, Perez-Cordon, A, Benussi, A, Rabano, A, Padovani, A, Squassina, A, de Mendonca, A, Arias Pastor, A, Kok, A, Meggy, A, Pastor, A, Espinosa, A, Corma-Gomez, A, Martin Montes, A, Sanabria, A, Destefano, A, Schneider, A, Haapasalo, A, Kinhult Stahlbom, A, Tybjaerg-Hansen, A, Hartmann, A, Spottke, A, Corbaton-Anchuelo, A, Rongve, A, Borroni, B, Arosio, B, Nacmias, B, Nordestgaard, B, Kunkle, B, Charbonnier, C, Abdelnour, C, Masullo, C, Martinez Rodriguez, C, Munoz-Fernandez, C, Dufouil, C, Graff, C, Ferreira, C, Chillotti, C, Reynolds, C, Fenoglio, C, Van Broeckhoven, C, Clark, C, Pisanu, C, Satizabal, C, Holmes, C, Buiza-Rueda, D, Aarsland, D, Rujescu, D, Alcolea, D, Galimberti, D, Wallon, D, Seripa, D, Grunblatt, E, Dardiotis, E, Duzel, E, Scarpini, E, Conti, E, Rubino, E, Gelpi, E, Rodriguez-Rodriguez, E, Duron, E, Boerwinkle, E, Ferri, E, Tagliavini, F, Kucukali, F, Pasquier, F, Sanchez-Garcia, F, Mangialasche, F, Jessen, F, Nicolas, G, Selbaek, G, Ortega, G, Chene, G, Hadjigeorgiou, G, Rossi, G, Spalletta, G, Giaccone, G, Grande, G, Binetti, G, Papenberg, G, Hampel, H, Bailly, H, Zetterberg, H, Soininen, H, Karlsson, I, Alvarez, I, Appollonio, I, Giegling, I, Skoog, I, Saltvedt, I, Rainero, I, Rosas Allende, I, Hort, J, Diehl-Schmid, J, Van Dongen, J, Vidal, J, Lehtisalo, J, Wiltfang, J, Thomassen, J, Kornhuber, J, Haines, J, Vogelgsang, J, Pineda, J, Fortea, J, Popp, J, Deckert, J, Buerger, K, Morgan, K, Fliessbach, K, Sleegers, K, Molina-Porcel, L, Kilander, L, Weinhold, L, Farrer, L, Wang, L, Kleineidam, L, Farotti, L, Parnetti, L, Tremolizzo, L, Hausner, L, Benussi, L, Froelich, L, Ikram, M, Deniz-Naranjo, M, Tsolaki, M, Rosende-Roca, M, Lowenmark, M, Hulsman, M, Spallazzi, M, Pericak-Vance, M, Esiri, M, Bernal Sanchez-Arjona, M, Dalmasso, M, Martinez-Larrad, M, Arcaro, M, Nothen, M, Fernandez-Fuertes, M, Dichgans, M, Ingelsson, M, Herrmann, M, Scherer, M, Vyhnalek, M, Kosmidis, M, Yannakoulia, M, Schmid, M, Ewers, M, Heneka, M, Wagner, M, Scamosci, M, Kivipelto, M, Hiltunen, M, Zulaica, M, Alegret, M, Fornage, M, Roberto, N, van Schoor, N, Seidu, N, Banaj, N, Armstrong, N, Scarmeas, N, Scherbaum, N, Goldhardt, O, Hanon, O, Peters, O, Skrobot, O, Quenez, O, Lerch, O, Bossu, P, Caffarra, P, Dionigi Rossi, P, Sakka, P, Mecocci, P, Hoffmann, P, Holmans, P, Fischer, P, Riederer, P, Yang, Q, Marshall, R, Kalaria, R, Mayeux, R, Vandenberghe, R, Cecchetti, R, Ghidoni, R, Frikke-Schmidt, R, Sorbi, S, Hagg, S, Engelborghs, S, Helisalmi, S, Botne Sando, S, Kern, S, Archetti, S, Boschi, S, Fostinelli, S, Gil, S, Mendoza, S, Mead, S, Ciccone, S, Djurovic, S, Heilmann-Heimbach, S, Riedel-Heller, S, Kuulasmaa, T, del Ser, T, Lebouvier, T, Polak, T, Ngandu, T, Grimmer, T, Bessi, V, Escott-Price, V, Giedraitis, V, Deramecourt, V, Maier, W, Jian, X, Pijnenburg, Y, Smith, A, Saenz, A, Bizzarro, A, Lauria, A, Vacca, A, Solomon, A, Anastasiou, A, Richardson, A, Boland, A, Koivisto, A, Daniele, A, Greco, A, Marianthi, A, Mcguinness, B, Fin, B, Ferrari, C, Custodero, C, Ferrarese, C, Ingino, C, Mangone, C, Reyes Toso, C, Martinez, C, Cuesta, C, Muchnik, C, Joachim, C, Ortiz, C, Besse, C, Johansson, C, Zoia, C, Laske, C, Anastasiou, C, Palacio, D, Politis, D, Janowitz, D, Craig, D, Mann, D, Neary, D, Jurgen, D, Daian, D, Belezhanska, D, Kohler, E, Castano, E, Koutsouraki, E, Chipi, E, De Roeck, E, Costantini, E, Vardy, E, Piras, F, Roveta, F, Prestia, F, Assogna, F, Salani, F, Sala, G, Lacidogna, G, Novack, G, Wilcock, G, Thonberg, H, Kolsch, H, Weber, H, Boecker, H, Etchepareborda, I, Piaceri, I, Tuomilehto, J, Lindstrom, J, Laczo, J, Johnston, J, Deleuze, J, Harris, J, Schott, J, Priller, J, Bacha, J, Snowden, J, Lisso, J, Mihova, K, Traykov, L, Morelli, L, Brusco, L, Rainer, M, Takalo, M, Bjerke, M, Del Zompo, M, Serpente, M, Sanchez Abalos, M, Rios, M, Peltonen, M, Herrman, M, Kohler, M, Rojo, M, Jones, M, Orsini, M, Medel, N, Olivar, N, Fox, N, Salvadori, N, Hooper, N, Galeano, P, Solis, P, Bastiani, P, Passmore, P, Heun, R, Antikainen, R, Olaso, R, Perneczky, R, Germani, S, Lopez-Garcia, S, Love, S, Mehrabian, S, Bagnoli, S, Kochen, S, Andreoni, S, Teipel, S, Todd, S, Pickering-Brown, S, Natunen, T, Tegos, T, Laatikainen, T, Strandberg, T, Polvikoski, T, Matoska, V, Ciullo, V, Cores, V, Solfrizzi, V, Lisetti, V, Sevillano, Z, Aguilera, N, Alarcon, E, Boada, M, Buendia, M, Canabate, P, Carracedo, A, Diego, S, Gailhajenet, A, Guitart, M, Ibarria, M, Lafuente, A, Maronas, O, Martin, E, Martinez, M, Marquie, M, Mauleon, A, Moreno, M, Orellana, A, Pancho, A, Peleja, E, Preckler, S, Real, L, Ruiz, A, Saez, M, Serrano-Rios, M, Tarraga, L, Vargas, L, Adarmes-Gomez, A, Alonso, M, Alvarez, V, Amer-Ferrer, G, Antequera, M, Bernal, M, Bullido, M, Burguera, J, Carrillo, F, Carrion-Claro, M, Casajeros, M, Clarimon, J, Cruz-Gamero, J, de Pancorbo, M, Escuela, R, Garrote-Espina, L, Garcia-Alberca, J, Garcia Madrona, S, Garcia-Ribas, G, Gomez-Garre, P, Hevilla, S, Jesus, S, Labrador Espinosa, M, Legaz, A, Lleo, A, Lopez de Munain, A, Macias-Garcia, D, Manzanares, S, Marin, M, Marin-Munoz, J, Marin, T, Martinez, B, Martinez, V, Martinez-Lage Alvarez, P, Medina, M, Mendioroz Iriarte, M, Mir, P, Molinuevo, J, Pastor, P, Perez Tur, J, Perinan-Tocino, T, Pineda-Sanchez, R, Pinol-Ripoll, G, Real de Asua, D, Rodrigo, S, Sanchez del Valle Diaz, R, Sanchez-Juan, P, Sastre, I, Vicente, M, Vigo-Ortega, R, Vivancos, L, Macleod, C, Mccracken, C, Brayne, C, Bresner, C, Grozeva, D, Bellou, E, Sommerville, E, Matthews, F, Leonenko, G, Menzies, G, Windle, G, Harwood, J, Phillips, J, Bennett, K, Luckuck, L, Clare, L, Woods, R, Saad, S, Burholt, V, Kehoe, P, Scheltens, P, Holstege, H, Amouyel, P, Schellenberg, G, Williams, J, Seshadri, S, van Duijn, C, Mather, K, Sanchez-Valle, R, Blennow, K, Huisman, M, Andreassen, O, Posthuma, D, van der Flier, W, Ramirez, A, Lambert, J, van der Lee, S, de Rojas I., Moreno-Grau S., Tesi N., Grenier-Boley B., Andrade V., Jansen I. E., Pedersen N. L., Stringa N., Zettergren A., Hernandez I., Montrreal L., Antunez C., Antonell A., Tankard R. M., Bis J. C., Sims R., Bellenguez C., Quintela I., Gonzalez-Perez A., Calero M., Franco-Macias E., Macias J., Blesa R., Cervera-Carles L., Menendez-Gonzalez M., Frank-Garcia A., Royo J. L., Moreno F., Huerto Vilas R., Baquero M., Diez-Fairen M., Lage C., Garcia-Madrona S., Garcia-Gonzalez P., Alarcon-Martin E., Valero S., Sotolongo-Grau O., Ullgren A., Naj A. C., Lemstra A. W., Benaque A., Perez-Cordon A., Benussi A., Rabano A., Padovani A., Squassina A., de Mendonca A., Arias Pastor A., Kok A. A. L., Meggy A., Pastor A. B., Espinosa A., Corma-Gomez A., Martin Montes A., Sanabria A., DeStefano A. L., Schneider A., Haapasalo A., Kinhult Stahlbom A., Tybjaerg-Hansen A., Hartmann A. M., Spottke A., Corbaton-Anchuelo A., Rongve A., Borroni B., Arosio B., Nacmias B., Nordestgaard B. G., Kunkle B. W., Charbonnier C., Abdelnour C., Masullo C., Martinez Rodriguez C., Munoz-Fernandez C., Dufouil C., Graff C., Ferreira C. B., Chillotti C., Reynolds C. A., Fenoglio C., Van Broeckhoven C., Clark C., Pisanu C., Satizabal C. L., Holmes C., Buiza-Rueda D., Aarsland D., Rujescu D., Alcolea D., Galimberti D., Wallon D., Seripa D., Grunblatt E., Dardiotis E., Duzel E., Scarpini E., Conti E., Rubino E., Gelpi E., Rodriguez-Rodriguez E., Duron E., Boerwinkle E., Ferri E., Tagliavini F., Kucukali F., Pasquier F., Sanchez-Garcia F., Mangialasche F., Jessen F., Nicolas G., Selbaek G., Ortega G., Chene G., Hadjigeorgiou G., Rossi G., Spalletta G., Giaccone G., Grande G., Binetti G., Papenberg G., Hampel H., Bailly H., Zetterberg H., Soininen H., Karlsson I. K., Alvarez I., Appollonio I., Giegling I., Skoog I., Saltvedt I., Rainero I., Rosas Allende I., Hort J., Diehl-Schmid J., Van Dongen J., Vidal J. -S., Lehtisalo J., Wiltfang J., Thomassen J. Q., Kornhuber J., Haines J. L., Vogelgsang J., Pineda J. A., Fortea J., Popp J., Deckert J., Buerger K., Morgan K., Fliessbach K., Sleegers K., Molina-Porcel L., Kilander L., Weinhold L., Farrer L. A., Wang L. -S., Kleineidam L., Farotti L., Parnetti L., Tremolizzo L., Hausner L., Benussi L., Froelich L., Ikram M. A., Deniz-Naranjo M. C., Tsolaki M., Rosende-Roca M., Lowenmark M., Hulsman M., Spallazzi M., Pericak-Vance M. A., Esiri M., Bernal Sanchez-Arjona M., Dalmasso M. C., Martinez-Larrad M. T., Arcaro M., Nothen M. M., Fernandez-Fuertes M., Dichgans M., Ingelsson M., Herrmann M. J., Scherer M., Vyhnalek M., Kosmidis M. H., Yannakoulia M., Schmid M., Ewers M., Heneka M. T., Wagner M., Scamosci M., Kivipelto M., Hiltunen M., Zulaica M., Alegret M., Fornage M., Roberto N., van Schoor N. M., Seidu N. M., Banaj N., Armstrong N. J., Scarmeas N., Scherbaum N., Goldhardt O., Hanon O., Peters O., Skrobot O. A., Quenez O., Lerch O., Bossu P., Caffarra P., Dionigi Rossi P., Sakka P., Mecocci P., Hoffmann P., Holmans P. A., Fischer P., Riederer P., Yang Q., Marshall R., Kalaria R. N., Mayeux R., Vandenberghe R., Cecchetti R., Ghidoni R., Frikke-Schmidt R., Sorbi S., Hagg S., Engelborghs S., Helisalmi S., Botne Sando S., Kern S., Archetti S., Boschi S., Fostinelli S., Gil S., Mendoza S., Mead S., Ciccone S., Djurovic S., Heilmann-Heimbach S., Riedel-Heller S., Kuulasmaa T., del Ser T., Lebouvier T., Polak T., Ngandu T., Grimmer T., Bessi V., Escott-Price V., Giedraitis V., Deramecourt V., Maier W., Jian X., Pijnenburg Y. A. L., Smith A. D., Saenz A., Bizzarro A., Lauria A., Vacca A., Solomon A., Anastasiou A., Richardson A., Boland A., Koivisto A., Daniele A., Greco A., Marianthi A., McGuinness B., Fin B., Ferrari C., Custodero C., Ferrarese C., Ingino C., Mangone C., Reyes Toso C., Martinez C., Cuesta C., Muchnik C., Joachim C., Ortiz C., Besse C., Johansson C., Zoia C. P., Laske C., Anastasiou C., Palacio D. L., Politis D. G., Janowitz D., Craig D., Mann D. M., Neary D., Jurgen D., Daian D., Belezhanska D., Kohler E., Castano E. M., Koutsouraki E., Chipi E., De Roeck E., Costantini E., Vardy E. R. L. C., Piras F., Roveta F., Prestia F. A., Assogna F., Salani F., Sala G., Lacidogna G., Novack G., Wilcock G., Thonberg H., Kolsch H., Weber H., Boecker H., Etchepareborda I., Piaceri I., Tuomilehto J., Lindstrom J., Laczo J., Johnston J., Deleuze J. -F., Harris J., Schott J. M., Priller J., Bacha J. I., Snowden J., Lisso J., Mihova K. Y., Traykov L., Morelli L., Brusco L. I., Rainer M., Takalo M., Bjerke M., Del Zompo M., Serpente M., Sanchez Abalos M., Rios M., Peltonen M., Herrman M. J., Kohler M., Rojo M., Jones M., Orsini M., Medel N., Olivar N., Fox N. C., Salvadori N., Hooper N. M., Galeano P., Solis P., Bastiani P., Passmore P., Heun R., Antikainen R., Olaso R., Perneczky R., Germani S., Lopez-Garcia S., Love S., Mehrabian S., Bagnoli S., Kochen S., Andreoni S., Teipel S., Todd S., Pickering-Brown S., Natunen T., Tegos T., Laatikainen T., Strandberg T., Polvikoski T. M., Matoska V., Ciullo V., Cores V., Solfrizzi V., Lisetti V., Sevillano Z., Aguilera N., Alarcon E., Boada M., Buendia M., Canabate P., Carracedo A., Diego S., Gailhajenet A., Guitart M., Ibarria M., Lafuente A., Maronas O., Martin E., Martinez M. T., Marquie M., Mauleon A., Moreno M., Orellana A., Pancho A., Peleja E., Preckler S., Real L. M., Ruiz A., Saez M. E., Serrano-Rios M., Tarraga L., Vargas L., Adarmes-Gomez A. D., Alonso M. D., Alvarez V., Amer-Ferrer G., Antequera M., Bernal M., Bullido M. J., Burguera J. A., Carrillo F., Carrion-Claro M., Casajeros M. J., Clarimon J., Cruz-Gamero J. M., de Pancorbo M. M., Escuela R., Garrote-Espina L., Garcia-Alberca J. M., Garcia Madrona S., Garcia-Ribas G., Gomez-Garre P., Hevilla S., Jesus S., Labrador Espinosa M. A., Legaz A., Lleo A., Lopez de Munain A., Macias-Garcia D., Manzanares S., Marin M., Marin-Munoz J., Marin T., Martinez B., Martinez V., Martinez-Lage Alvarez P., Medina M., Mendioroz Iriarte M., Mir P., Molinuevo J. L., Pastor P., Perez Tur J., Perinan-Tocino T., Pineda-Sanchez R., Pinol-Ripoll G., Real de Asua D., Rodrigo S., Sanchez del Valle Diaz R., Sanchez-Juan P., Sastre I., Vicente M. P., Vigo-Ortega R., Vivancos L., Macleod C., McCracken C., Brayne C., Bresner C., Grozeva D., Bellou E., Sommerville E. W., Matthews F., Leonenko G., Menzies G., Windle G., Harwood J., Phillips J., Bennett K., Luckuck L., Clare L., Woods R., Saad S., Burholt V., Kehoe P. G., Scheltens P., Holstege H., Amouyel P., Schellenberg G. D., Williams J., Seshadri S., van Duijn C. M., Mather K. A., Sanchez-Valle R., Blennow K., Huisman M., Andreassen O. A., Posthuma D., van der Flier W. M., Ramirez A., Lambert J. -C., van der Lee S. J., de Rojas I., de Rojas, I, Moreno-Grau, S, Tesi, N, Grenier-Boley, B, Andrade, V, Jansen, I, Pedersen, N, Stringa, N, Zettergren, A, Hernandez, I, Montrreal, L, Antunez, C, Antonell, A, Tankard, R, Bis, J, Sims, R, Bellenguez, C, Quintela, I, Gonzalez-Perez, A, Calero, M, Franco-Macias, E, Macias, J, Blesa, R, Cervera-Carles, L, Menendez-Gonzalez, M, Frank-Garcia, A, Royo, J, Moreno, F, Huerto Vilas, R, Baquero, M, Diez-Fairen, M, Lage, C, Garcia-Madrona, S, Garcia-Gonzalez, P, Alarcon-Martin, E, Valero, S, Sotolongo-Grau, O, Ullgren, A, Naj, A, Lemstra, A, Benaque, A, Perez-Cordon, A, Benussi, A, Rabano, A, Padovani, A, Squassina, A, de Mendonca, A, Arias Pastor, A, Kok, A, Meggy, A, Pastor, A, Espinosa, A, Corma-Gomez, A, Martin Montes, A, Sanabria, A, Destefano, A, Schneider, A, Haapasalo, A, Kinhult Stahlbom, A, Tybjaerg-Hansen, A, Hartmann, A, Spottke, A, Corbaton-Anchuelo, A, Rongve, A, Borroni, B, Arosio, B, Nacmias, B, Nordestgaard, B, Kunkle, B, Charbonnier, C, Abdelnour, C, Masullo, C, Martinez Rodriguez, C, Munoz-Fernandez, C, Dufouil, C, Graff, C, Ferreira, C, Chillotti, C, Reynolds, C, Fenoglio, C, Van Broeckhoven, C, Clark, C, Pisanu, C, Satizabal, C, Holmes, C, Buiza-Rueda, D, Aarsland, D, Rujescu, D, Alcolea, D, Galimberti, D, Wallon, D, Seripa, D, Grunblatt, E, Dardiotis, E, Duzel, E, Scarpini, E, Conti, E, Rubino, E, Gelpi, E, Rodriguez-Rodriguez, E, Duron, E, Boerwinkle, E, Ferri, E, Tagliavini, F, Kucukali, F, Pasquier, F, Sanchez-Garcia, F, Mangialasche, F, Jessen, F, Nicolas, G, Selbaek, G, Ortega, G, Chene, G, Hadjigeorgiou, G, Rossi, G, Spalletta, G, Giaccone, G, Grande, G, Binetti, G, Papenberg, G, Hampel, H, Bailly, H, Zetterberg, H, Soininen, H, Karlsson, I, Alvarez, I, Appollonio, I, Giegling, I, Skoog, I, Saltvedt, I, Rainero, I, Rosas Allende, I, Hort, J, Diehl-Schmid, J, Van Dongen, J, Vidal, J, Lehtisalo, J, Wiltfang, J, Thomassen, J, Kornhuber, J, Haines, J, Vogelgsang, J, Pineda, J, Fortea, J, Popp, J, Deckert, J, Buerger, K, Morgan, K, Fliessbach, K, Sleegers, K, Molina-Porcel, L, Kilander, L, Weinhold, L, Farrer, L, Wang, L, Kleineidam, L, Farotti, L, Parnetti, L, Tremolizzo, L, Hausner, L, Benussi, L, Froelich, L, Ikram, M, Deniz-Naranjo, M, Tsolaki, M, Rosende-Roca, M, Lowenmark, M, Hulsman, M, Spallazzi, M, Pericak-Vance, M, Esiri, M, Bernal Sanchez-Arjona, M, Dalmasso, M, Martinez-Larrad, M, Arcaro, M, Nothen, M, Fernandez-Fuertes, M, Dichgans, M, Ingelsson, M, Herrmann, M, Scherer, M, Vyhnalek, M, Kosmidis, M, Yannakoulia, M, Schmid, M, Ewers, M, Heneka, M, Wagner, M, Scamosci, M, Kivipelto, M, Hiltunen, M, Zulaica, M, Alegret, M, Fornage, M, Roberto, N, van Schoor, N, Seidu, N, Banaj, N, Armstrong, N, Scarmeas, N, Scherbaum, N, Goldhardt, O, Hanon, O, Peters, O, Skrobot, O, Quenez, O, Lerch, O, Bossu, P, Caffarra, P, Dionigi Rossi, P, Sakka, P, Mecocci, P, Hoffmann, P, Holmans, P, Fischer, P, Riederer, P, Yang, Q, Marshall, R, Kalaria, R, Mayeux, R, Vandenberghe, R, Cecchetti, R, Ghidoni, R, Frikke-Schmidt, R, Sorbi, S, Hagg, S, Engelborghs, S, Helisalmi, S, Botne Sando, S, Kern, S, Archetti, S, Boschi, S, Fostinelli, S, Gil, S, Mendoza, S, Mead, S, Ciccone, S, Djurovic, S, Heilmann-Heimbach, S, Riedel-Heller, S, Kuulasmaa, T, del Ser, T, Lebouvier, T, Polak, T, Ngandu, T, Grimmer, T, Bessi, V, Escott-Price, V, Giedraitis, V, Deramecourt, V, Maier, W, Jian, X, Pijnenburg, Y, Smith, A, Saenz, A, Bizzarro, A, Lauria, A, Vacca, A, Solomon, A, Anastasiou, A, Richardson, A, Boland, A, Koivisto, A, Daniele, A, Greco, A, Marianthi, A, Mcguinness, B, Fin, B, Ferrari, C, Custodero, C, Ferrarese, C, Ingino, C, Mangone, C, Reyes Toso, C, Martinez, C, Cuesta, C, Muchnik, C, Joachim, C, Ortiz, C, Besse, C, Johansson, C, Zoia, C, Laske, C, Anastasiou, C, Palacio, D, Politis, D, Janowitz, D, Craig, D, Mann, D, Neary, D, Jurgen, D, Daian, D, Belezhanska, D, Kohler, E, Castano, E, Koutsouraki, E, Chipi, E, De Roeck, E, Costantini, E, Vardy, E, Piras, F, Roveta, F, Prestia, F, Assogna, F, Salani, F, Sala, G, Lacidogna, G, Novack, G, Wilcock, G, Thonberg, H, Kolsch, H, Weber, H, Boecker, H, Etchepareborda, I, Piaceri, I, Tuomilehto, J, Lindstrom, J, Laczo, J, Johnston, J, Deleuze, J, Harris, J, Schott, J, Priller, J, Bacha, J, Snowden, J, Lisso, J, Mihova, K, Traykov, L, Morelli, L, Brusco, L, Rainer, M, Takalo, M, Bjerke, M, Del Zompo, M, Serpente, M, Sanchez Abalos, M, Rios, M, Peltonen, M, Herrman, M, Kohler, M, Rojo, M, Jones, M, Orsini, M, Medel, N, Olivar, N, Fox, N, Salvadori, N, Hooper, N, Galeano, P, Solis, P, Bastiani, P, Passmore, P, Heun, R, Antikainen, R, Olaso, R, Perneczky, R, Germani, S, Lopez-Garcia, S, Love, S, Mehrabian, S, Bagnoli, S, Kochen, S, Andreoni, S, Teipel, S, Todd, S, Pickering-Brown, S, Natunen, T, Tegos, T, Laatikainen, T, Strandberg, T, Polvikoski, T, Matoska, V, Ciullo, V, Cores, V, Solfrizzi, V, Lisetti, V, Sevillano, Z, Aguilera, N, Alarcon, E, Boada, M, Buendia, M, Canabate, P, Carracedo, A, Diego, S, Gailhajenet, A, Guitart, M, Ibarria, M, Lafuente, A, Maronas, O, Martin, E, Martinez, M, Marquie, M, Mauleon, A, Moreno, M, Orellana, A, Pancho, A, Peleja, E, Preckler, S, Real, L, Ruiz, A, Saez, M, Serrano-Rios, M, Tarraga, L, Vargas, L, Adarmes-Gomez, A, Alonso, M, Alvarez, V, Amer-Ferrer, G, Antequera, M, Bernal, M, Bullido, M, Burguera, J, Carrillo, F, Carrion-Claro, M, Casajeros, M, Clarimon, J, Cruz-Gamero, J, de Pancorbo, M, Escuela, R, Garrote-Espina, L, Garcia-Alberca, J, Garcia Madrona, S, Garcia-Ribas, G, Gomez-Garre, P, Hevilla, S, Jesus, S, Labrador Espinosa, M, Legaz, A, Lleo, A, Lopez de Munain, A, Macias-Garcia, D, Manzanares, S, Marin, M, Marin-Munoz, J, Marin, T, Martinez, B, Martinez, V, Martinez-Lage Alvarez, P, Medina, M, Mendioroz Iriarte, M, Mir, P, Molinuevo, J, Pastor, P, Perez Tur, J, Perinan-Tocino, T, Pineda-Sanchez, R, Pinol-Ripoll, G, Real de Asua, D, Rodrigo, S, Sanchez del Valle Diaz, R, Sanchez-Juan, P, Sastre, I, Vicente, M, Vigo-Ortega, R, Vivancos, L, Macleod, C, Mccracken, C, Brayne, C, Bresner, C, Grozeva, D, Bellou, E, Sommerville, E, Matthews, F, Leonenko, G, Menzies, G, Windle, G, Harwood, J, Phillips, J, Bennett, K, Luckuck, L, Clare, L, Woods, R, Saad, S, Burholt, V, Kehoe, P, Scheltens, P, Holstege, H, Amouyel, P, Schellenberg, G, Williams, J, Seshadri, S, van Duijn, C, Mather, K, Sanchez-Valle, R, Blennow, K, Huisman, M, Andreassen, O, Posthuma, D, van der Flier, W, Ramirez, A, Lambert, J, van der Lee, S, de Rojas I., Moreno-Grau S., Tesi N., Grenier-Boley B., Andrade V., Jansen I. E., Pedersen N. L., Stringa N., Zettergren A., Hernandez I., Montrreal L., Antunez C., Antonell A., Tankard R. M., Bis J. C., Sims R., Bellenguez C., Quintela I., Gonzalez-Perez A., Calero M., Franco-Macias E., Macias J., Blesa R., Cervera-Carles L., Menendez-Gonzalez M., Frank-Garcia A., Royo J. L., Moreno F., Huerto Vilas R., Baquero M., Diez-Fairen M., Lage C., Garcia-Madrona S., Garcia-Gonzalez P., Alarcon-Martin E., Valero S., Sotolongo-Grau O., Ullgren A., Naj A. C., Lemstra A. W., Benaque A., Perez-Cordon A., Benussi A., Rabano A., Padovani A., Squassina A., de Mendonca A., Arias Pastor A., Kok A. A. L., Meggy A., Pastor A. B., Espinosa A., Corma-Gomez A., Martin Montes A., Sanabria A., DeStefano A. L., Schneider A., Haapasalo A., Kinhult Stahlbom A., Tybjaerg-Hansen A., Hartmann A. M., Spottke A., Corbaton-Anchuelo A., Rongve A., Borroni B., Arosio B., Nacmias B., Nordestgaard B. G., Kunkle B. W., Charbonnier C., Abdelnour C., Masullo C., Martinez Rodriguez C., Munoz-Fernandez C., Dufouil C., Graff C., Ferreira C. B., Chillotti C., Reynolds C. A., Fenoglio C., Van Broeckhoven C., Clark C., Pisanu C., Satizabal C. L., Holmes C., Buiza-Rueda D., Aarsland D., Rujescu D., Alcolea D., Galimberti D., Wallon D., Seripa D., Grunblatt E., Dardiotis E., Duzel E., Scarpini E., Conti E., Rubino E., Gelpi E., Rodriguez-Rodriguez E., Duron E., Boerwinkle E., Ferri E., Tagliavini F., Kucukali F., Pasquier F., Sanchez-Garcia F., Mangialasche F., Jessen F., Nicolas G., Selbaek G., Ortega G., Chene G., Hadjigeorgiou G., Rossi G., Spalletta G., Giaccone G., Grande G., Binetti G., Papenberg G., Hampel H., Bailly H., Zetterberg H., Soininen H., Karlsson I. K., Alvarez I., Appollonio I., Giegling I., Skoog I., Saltvedt I., Rainero I., Rosas Allende I., Hort J., Diehl-Schmid J., Van Dongen J., Vidal J. -S., Lehtisalo J., Wiltfang J., Thomassen J. Q., Kornhuber J., Haines J. L., Vogelgsang J., Pineda J. A., Fortea J., Popp J., Deckert J., Buerger K., Morgan K., Fliessbach K., Sleegers K., Molina-Porcel L., Kilander L., Weinhold L., Farrer L. A., Wang L. -S., Kleineidam L., Farotti L., Parnetti L., Tremolizzo L., Hausner L., Benussi L., Froelich L., Ikram M. A., Deniz-Naranjo M. C., Tsolaki M., Rosende-Roca M., Lowenmark M., Hulsman M., Spallazzi M., Pericak-Vance M. A., Esiri M., Bernal Sanchez-Arjona M., Dalmasso M. C., Martinez-Larrad M. T., Arcaro M., Nothen M. M., Fernandez-Fuertes M., Dichgans M., Ingelsson M., Herrmann M. J., Scherer M., Vyhnalek M., Kosmidis M. H., Yannakoulia M., Schmid M., Ewers M., Heneka M. T., Wagner M., Scamosci M., Kivipelto M., Hiltunen M., Zulaica M., Alegret M., Fornage M., Roberto N., van Schoor N. M., Seidu N. M., Banaj N., Armstrong N. J., Scarmeas N., Scherbaum N., Goldhardt O., Hanon O., Peters O., Skrobot O. A., Quenez O., Lerch O., Bossu P., Caffarra P., Dionigi Rossi P., Sakka P., Mecocci P., Hoffmann P., Holmans P. A., Fischer P., Riederer P., Yang Q., Marshall R., Kalaria R. N., Mayeux R., Vandenberghe R., Cecchetti R., Ghidoni R., Frikke-Schmidt R., Sorbi S., Hagg S., Engelborghs S., Helisalmi S., Botne Sando S., Kern S., Archetti S., Boschi S., Fostinelli S., Gil S., Mendoza S., Mead S., Ciccone S., Djurovic S., Heilmann-Heimbach S., Riedel-Heller S., Kuulasmaa T., del Ser T., Lebouvier T., Polak T., Ngandu T., Grimmer T., Bessi V., Escott-Price V., Giedraitis V., Deramecourt V., Maier W., Jian X., Pijnenburg Y. A. L., Smith A. D., Saenz A., Bizzarro A., Lauria A., Vacca A., Solomon A., Anastasiou A., Richardson A., Boland A., Koivisto A., Daniele A., Greco A., Marianthi A., McGuinness B., Fin B., Ferrari C., Custodero C., Ferrarese C., Ingino C., Mangone C., Reyes Toso C., Martinez C., Cuesta C., Muchnik C., Joachim C., Ortiz C., Besse C., Johansson C., Zoia C. P., Laske C., Anastasiou C., Palacio D. L., Politis D. G., Janowitz D., Craig D., Mann D. M., Neary D., Jurgen D., Daian D., Belezhanska D., Kohler E., Castano E. M., Koutsouraki E., Chipi E., De Roeck E., Costantini E., Vardy E. R. L. C., Piras F., Roveta F., Prestia F. A., Assogna F., Salani F., Sala G., Lacidogna G., Novack G., Wilcock G., Thonberg H., Kolsch H., Weber H., Boecker H., Etchepareborda I., Piaceri I., Tuomilehto J., Lindstrom J., Laczo J., Johnston J., Deleuze J. -F., Harris J., Schott J. M., Priller J., Bacha J. I., Snowden J., Lisso J., Mihova K. Y., Traykov L., Morelli L., Brusco L. I., Rainer M., Takalo M., Bjerke M., Del Zompo M., Serpente M., Sanchez Abalos M., Rios M., Peltonen M., Herrman M. J., Kohler M., Rojo M., Jones M., Orsini M., Medel N., Olivar N., Fox N. C., Salvadori N., Hooper N. M., Galeano P., Solis P., Bastiani P., Passmore P., Heun R., Antikainen R., Olaso R., Perneczky R., Germani S., Lopez-Garcia S., Love S., Mehrabian S., Bagnoli S., Kochen S., Andreoni S., Teipel S., Todd S., Pickering-Brown S., Natunen T., Tegos T., Laatikainen T., Strandberg T., Polvikoski T. M., Matoska V., Ciullo V., Cores V., Solfrizzi V., Lisetti V., Sevillano Z., Aguilera N., Alarcon E., Boada M., Buendia M., Canabate P., Carracedo A., Diego S., Gailhajenet A., Guitart M., Ibarria M., Lafuente A., Maronas O., Martin E., Martinez M. T., Marquie M., Mauleon A., Moreno M., Orellana A., Pancho A., Peleja E., Preckler S., Real L. M., Ruiz A., Saez M. E., Serrano-Rios M., Tarraga L., Vargas L., Adarmes-Gomez A. D., Alonso M. D., Alvarez V., Amer-Ferrer G., Antequera M., Bernal M., Bullido M. J., Burguera J. A., Carrillo F., Carrion-Claro M., Casajeros M. J., Clarimon J., Cruz-Gamero J. M., de Pancorbo M. M., Escuela R., Garrote-Espina L., Garcia-Alberca J. M., Garcia Madrona S., Garcia-Ribas G., Gomez-Garre P., Hevilla S., Jesus S., Labrador Espinosa M. A., Legaz A., Lleo A., Lopez de Munain A., Macias-Garcia D., Manzanares S., Marin M., Marin-Munoz J., Marin T., Martinez B., Martinez V., Martinez-Lage Alvarez P., Medina M., Mendioroz Iriarte M., Mir P., Molinuevo J. L., Pastor P., Perez Tur J., Perinan-Tocino T., Pineda-Sanchez R., Pinol-Ripoll G., Real de Asua D., Rodrigo S., Sanchez del Valle Diaz R., Sanchez-Juan P., Sastre I., Vicente M. P., Vigo-Ortega R., Vivancos L., Macleod C., McCracken C., Brayne C., Bresner C., Grozeva D., Bellou E., Sommerville E. W., Matthews F., Leonenko G., Menzies G., Windle G., Harwood J., Phillips J., Bennett K., Luckuck L., Clare L., Woods R., Saad S., Burholt V., Kehoe P. G., Scheltens P., Holstege H., Amouyel P., Schellenberg G. D., Williams J., Seshadri S., van Duijn C. M., Mather K. A., Sanchez-Valle R., Blennow K., Huisman M., Andreassen O. A., Posthuma D., van der Flier W. M., Ramirez A., Lambert J. -C., and van der Lee S. J.
- Abstract
The original version of this Article omitted from the author list the 212th author Patrizia Mecocci, who is from the Institute of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy. Consequently, the “Sample Contribution” section of Author Contributions was updated to add “P.M” between “P.D.” and “R.C.”. Additionally, the original version of this Article contained the incorrect affiliation for author Patrick Gavin Kehoe, which incorrectly read “German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany”. The correct version replaces this affiliation with “Bristol Medical School (THS), University of Bristol, Southmead Hospital, Bristol, UK”. This has been corrected in both the PDF and HTML versions of the Article.
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- 2023
20. Cerebrospinal fluid markers including trefoil factor 3 are associated with neurodegeneration in amyloid-positive individuals.
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Paterson, RW, Bartlett, JW, Blennow, K, Fox, NC, Alzheimer's Disease Neuroimaging Initiative, Shaw, LM, Trojanowski, JQ, Zetterberg, H, and Schott, JM
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Alzheimer's Disease Neuroimaging Initiative ,Brain ,Cerebral Ventricles ,Hippocampus ,Humans ,Alzheimer Disease ,Amyloidosis ,Atrophy ,Peptides ,tau Proteins ,Mental Status Schedule ,Aged ,Aged ,80 and over ,Female ,Male ,Apolipoprotein E4 ,Statistics as Topic ,Cystatin C ,Biomarkers ,Trefoil Factor-3 ,Cognitive Dysfunction ,and over ,Psychology ,Clinical Sciences ,Public Health and Health Services - Abstract
We aimed to identify cerebrospinal fluid (CSF) biomarkers associated with neurodegeneration in individuals with and without CSF evidence of Alzheimer pathology. We investigated 287 Alzheimer's Disease Neuroimaging Initiative (ADNI) subjects (age=74.9±6.9; 22/48/30% with Alzheimer's disease/mild cognitive impairment/controls) with CSF multiplex analyte data and serial volumetric MRI. We calculated brain and hippocampal atrophy rates, ventricular expansion and Mini Mental State Examination decline. We used false discovery rate corrected regression analyses to assess associations between CSF variables and atrophy rates in individuals with and without amyloid pathology, adjusting in stages for tau, baseline volume, p-tau, age, sex, ApoE4 status and diagnosis. Analytes showing statistically significant independent relationships were entered into reverse stepwise analyses. Adjusting for tau, baseline volume, p-tau, age, sex and ApoE4, 4/83 analytes were significantly independently associated with brain atrophy rate, 1/83 with ventricular expansion and 2/83 with hippocampal atrophy. The strongest CSF predictor for the three atrophy measures was low trefoil factor 3 (TFF3). High cystatin C (CysC) was associated with higher whole brain atrophy and hippocampal atrophy rates. Lower levels of vascular endothelial growth factor and chromogranin A (CrA) were associated with higher whole brain atrophy. In exploratory reverse stepwise analyses, lower TFF3 was associated with higher rates of whole brain, hippocampal atrophy and ventricular expansion. Lower levels of CrA were associated with higher whole brain atrophy rate. The relationship between low TFF3 and increased hippocampal atrophy rate remained after adjustment for diagnosis. We identified a series of CSF markers that are independently associated with rate of neurodegeneration in amyloid-positive individuals. TFF3, a substrate for NOTCH processing may be an important biomarker of neurodegeneration across the Alzheimer spectrum.
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- 2014
21. Heart fatty acid binding protein and Aβ-associated Alzheimer's neurodegeneration
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Desikan, RS, Thompson, WK, Holland, D, Hess, CP, Brewer, JB, Zetterberg, H, Blennow, K, Andreassen, OA, McEvoy, LK, Hyman, BT, and Dale, AM
- Abstract
Background: Epidemiological and molecular findings suggest a relationship between Alzheimer's disease (AD) and dyslipidemia, although the nature of this association is not well understood. Results: Using linear mixed effects models, we investigated the relationship between CSF levels of heart fatty acid binding protein (HFABP), a lipid binding protein involved with fatty acid metabolism and lipid transport, amyloid-β (Aβ), phospho-tau, and longitudinal MRI-based measures of brain atrophy among 295 non-demented and demented older individuals. Across all participants, we found a significant association of CSF HFABP with longitudinal atrophy of the entorhinal cortex and other AD-vulnerable neuroanatomic regions. However, we found that the relationship between CSF HABP and brain atrophy was significant only among those with low CSF Aβ1-42and occurred irrespective of phospho-tau181pstatus. Conclusions: Our findings indicate that Aβ-associated volume loss occurs in the presence of elevated HFABP irrespective of phospho-tau. This implicates a potentially important role for fatty acid binding proteins in Alzheimer's disease neurodegeneration. © 2013 Desikan et al.; licensee BioMed Central Ltd.
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- 2013
22. Alzheimer’s Disease Composite Score: a Post-Hoc Analysis Using Data from the LipiDiDiet Trial in Prodromal Alzheimer’s Disease
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Hendrix, Suzanne B., Soininen, H., van Hees, A. M. J., Ellison, N., Visser, P. J., Solomon, A., Attali, A., Blennow, K., Kivipelto, M., and Hartmann, T.
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- 2019
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23. Plasma Biomarkers of AD Emerging as Essential Tools for Drug Development: An EU/US CTAD Task Force Report
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Bateman, Randall J., Blennow, K., Doody, R., Hendrix, S., Lovestone, S., Salloway, S., Schindler, R., Weiner, M., Zetterberg, H., Aisen, P., Vellas, B., and EU/US CTAD Task Force
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- 2019
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24. Anti-Tau Trials for Alzheimer’s Disease: A Report from the EU/US/CTAD Task Force
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Cummings, Jeffrey, Blennow, K., Johnson, K., Keeley, M., Bateman, R. J., Molinuevo, J. L., Touchon, J., Aisen, P., Vellas, B., and EU/US/CTAD Task Force
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- 2019
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25. Identification of candidate cerebrospinal fluid biomarkers in parkinsonism using quantitative proteomics
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Magdalinou, N.K., Noyce, A.J., Pinto, R., Lindstrom, E., Holmén-Larsson, J., Holtta, M., Blennow, K., Morris, H.R., Skillbäck, T., Warner, T.T., Lees, A.J., Pike, I., Ward, M., Zetterberg, H., and Gobom, J.
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- 2017
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26. Quantification of total apolipoprotein E and its isoforms in cerebrospinal fluid from patients with neurodegenerative diseases
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Minta, K., Brinkmalm, G., Janelidze, S., Sjödin, S., Portelius, E., Stomrud, E., Zetterberg, H., Blennow, K., Hansson, O., and Andreasson, U.
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- 2020
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27. The chitinases expression is related to Simian Immunodeficiency Virus Encephalitis (SIVE) and in HIV encephalitis (HIVE)
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Sanfilippo, C., Nunnari, G., Calcagno, A., Malaguarnera, L., Blennow, K., Zetterberg, H., and Di Rosa, M.
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- 2017
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28. Cerebrospinal fluid-induced retardation of amyloid β aggregation correlates with Alzheimer's disease and the APOE ε4 allele
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Padayachee, E.R., Zetterberg, H., Portelius, E., Borén, J., Molinuevo, J.L., Andreasen, N., Cukalevski, R., Linse, S., Blennow, K., and Andreasson, U.
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- 2016
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29. Effect of a 1-Year Nutritional Blend Supplementation on Plasma p-tau181 and GFAP Levels among Community-Dwelling Older Adults: A Secondary Analysis of the Nolan Trial
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Giudici, K.V., de Souto Barreto, P., Guyonnet, S., Cantet, C., Zetterberg, H., Boschat, C., Hudry, J., Andrieu, S., Schmitt, J.A.J., Vellas, B., and Blennow, K.
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Original Research - Abstract
BACKGROUND: Observational studies and some randomized controlled trials have suggested that nutritional supplementation could be a possible intervention pathway to prevent cognitive decline and Alzheimer’s disease (AD). As measuring amyloid-β and tau pathophysiology by positron emission tomography (PET) or cerebrospinal fluid (CSF) analyses may be perceived as complex, plasma versions of such biomarkers have emerged as more accessible alternatives with comparable capacity of predicting cognitive impairment. OBJECTIVES: This study aimed to evaluate the effect of a 1-year intervention with a nutritional blend on plasma p-tau181 and glial fibrillary acidic protein (GFAP) levels in community-dwelling older adults. Effects were further assessed in exploratory analyses within sub-cohorts stratified according to p-tau status (with the third tertile considered as high: ≥15.1 pg/ mL) and to apolipoprotein E (APOE) ε4 allele status. METHODS: A total of 289 participants ≥70 years (56.4% female, mean age 78.1 years, SD=4.7) of the randomized, double-blind, multicenter, placebo-controlled Nolan trial had their plasma p-tau181 assessed, and daily took either a nutritional blend (composed of thiamin, riboflavin, niacin, pantothenic acid, pyridoxine, biotin, folic acid, cobalamin, vitamin E, vitamin C, vitamin D, choline, selenium, citrulline, eicosapentaenoic acid – EPA, and docosahexaenoic acid – DHA) or placebo for 1 year. RESULTS: After 1-year, both groups presented a significant increase in plasma p-tau181 and GFAP values, with no effect of the intervention (p-tau181 between-group difference: 0.27pg/mL, 95%CI: -0.95, 1.48; p=0.665; GFAP between-group difference: -3.28 pg/mL, 95%CI: -17.25, 10.69; p=0.644). P-tau-and APOE ε4-stratified analyses provided similar findings. CONCLUSIONS: In community-dwelling older adults, we observed an increase in plasma p-tau181 and GFAP levels that was not different between the supplementation groups after one year.
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- 2023
30. CSF evidence of pericyte damage in Alzheimer’s disease is associated with markers of blood-brain barrier dysfunction and disease pathology
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Miners, J. S., Kehoe, P. G., Love, S., Zetterberg, H., and Blennow, K.
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- 2019
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31. Plasma neurofilament light chain level is not a biomarker of Charcot-Marie-Tooth disease progression: Results of 3-year follow-up study.
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Setlere, S., Grosmane, A., Kurjane, N., Gailite, L., Rots, D., Blennow, K., Zetterberg, H., Kenina, V., Setlere, S., Grosmane, A., Kurjane, N., Gailite, L., Rots, D., Blennow, K., Zetterberg, H., and Kenina, V.
- Abstract
01 augustus 2023, Contains fulltext : 294542.pdf (Publisher’s version ) (Open Access), BACKGROUND AND PURPOSE: Charcot-Marie-Tooth disease (CMT) is a hereditary, slowly progressive neuropathy. Currently, there are no effective pharmacological treatments or sensitive disease activity biomarkers available. The aim of this study was to demonstrate the change in plasma neurofilament light chain (NfL) over time in a CMT cohort and analyse the association between CMT severity and NfL level. METHODS: Initially, 101 CMT patients and 64 controls were enrolled in the study. Repeated evaluation was performed in 73 patients and 28 controls at a 3-year interval. Disease severity assessment included clinical evaluation with CMT Neuropathy Score version 2 (CMTNSv2). Plasma NfL concentration was measured using the Simoa (single molecule array) NfL assay. RESULTS: Plasma NfL concentration was increased in the CMT group compared with controls (p < 0.001). Overall NfL level increased over the 3-year interval in both CMT (p = 0.012) and control (p = 0.001) groups. However, in 22 of 73 CMT patients and seven of 28 controls, the NfL level decreased from the baseline. Analysing the association between 3-year change in plasma NfL and disease severity (CMTNSv2), there was no correlation in the CMT group (r = 0.228, p = 0.052) or different CMT subgroups. CONCLUSIONS: Our study verifies increased plasma NfL concentrations in patients with CMT compared with controls. Longitudinal 3-year data showed a variable change in NfL levels between CMT subtypes. There was no association between change in NfL over time and disease severity. These findings suggests that NfL is not a biomarker for CMT progression.
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- 2023
32. Erratum to: Alzheimer’s Disease Composite Score: a Post-Hoc Analysis Using Data from the LipiDiDiet Trial in Prodromal Alzheimer’s Disease (The Journal of Prevention of Alzheimer's Disease, (2019), (1-5), 10.14283/jpad.2019.33)
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Hendrix, Suzanne B., Soininen, H., van Hees, A. M. J., Ellison, N., Visser, P. J., Solomon, A., Attali, A., Blennow, K., Kivipelto, M., Hartmann, T., Neurology, and Amsterdam Neuroscience - Neurodegeneration
- Abstract
The article «Alzheimer’s Disease Composite Score: a Post-Hoc Analysis Using Data from the LipiDiDiet Trial in Prodromal Alzheimer’s Disease», written by S.B. Hendrix, H. Soininen, A.M.J. van Hees, N. Ellison, P.J. Visser, A. Solomon, A. Attali, K. Blennow, M. Kivipelto, T. Hartmann, was originally published electronically on the publisher’s internet portal (currently SpringerLink) on 10 September 2019 without open access.
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- 2023
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33. Effect of a 1-Year Nutritional Blend Supplementation on Plasma p-tau181 and GFAP Levels among Community-Dwelling Older Adults: A Secondary Analysis of the Nolan Trial
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Giudici, K.V., primary, de Souto Barreto, P., additional, Guyonnet, S., additional, Cantet, C., additional, Zetterberg, H., additional, Boschat, C., additional, Hudry, J., additional, Andrieu, S., additional, Schmitt, J.A.J., additional, Vellas, B., additional, and Blennow, K., additional
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- 2023
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34. Differential effects of familial Alzheimer’s disease-causing mutations on amyloid precursor protein (APP) trafficking, proteolytic conversion, and synaptogenic activity
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Schilling, S., Pradhan, A., Heesch, A., Helbig, A., Blennow, K., Koch, C., Bertgen, L., Koo, E., Brinkmalm, G., Zetterberg, H., Kins, S., and Eggert, S.
- Abstract
Background: The amyloid precursor protein (APP), a synaptic adhesion molecule, is a key player in Alzheimer`s disease (AD) and the precursor of the Aβ peptide, which is generated by consecutive cleavages of β- and γ-secretases. Familial Alzheimer’s disease (FAD) describes a hereditary subgroup of AD that represents a low percentage of AD cases with an early onset of the disease. Different APP FAD mutations are thought to have qualitatively different effects on its proteolytic conversion. However, few studies have explored the pathogenic and putative physiological differences in more detail. Here, we compared different FAD mutations, located at the β- (Swedish), α- (Flemish, Arctic, Iowa) or γ-secretase (Iberian) cleavage sites. Methods: We examined heterologous expression of APP in WT and FAD mutants (Swedish, Flemish, Arctic, Iowa, Iberian) in non-neuronal cells and their impact on presynaptic differentiation in contacting axons of co-cultured neurons. To decipher the underlying molecular mechanism, we tested the subcellular localization, the endocytosis rate and the proteolytic processing in detail by immunoprecipitation–mass spectrometry. Results: Interestingly, we found that only the Iberian mutation showed altered synaptogenic function. Furthermore, the APP Iowa FAD mutant shows significantly decreased α-secretase processing which is in line with our results that APP carrying the Iowa mutation was significantly increased in early endosomes. However, most interestingly, immunoprecipitation–mass spectrometry analysis revealed that the amino acid substitutions of APP in FAD mutants have a decisive impact on their processing changes reflected in altered Aβ profiles. Importantly, N-terminally truncated Aβ peptides starting at position 5 were detected preferentially for APP Flemish, Arctic, and Iowa mutants containing amino acid substitutions around the α -secretase cleavage site. The strongest change in the ratio of Aβ40/Aβ42 was observed for the Iberian mutation while APP Swedish showed a substantial increase in Aβ1–17 peptides. Conclusions: Together, our data indicate that familial AD mutations located at the α-, β-, and γ-secretase cleavage sites show considerable differences in the underlying pathogenic mechanisms.
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- 2022
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35. 20151. RELACIÓN ENTRE MARCADORES MOLECULARES DE DISFUNCIÓN SINÁPTICA Y ACTIVACIÓN MICROGLIAL TREM2- DEPENDIENTE ASOCIADA A LOS PRIMEROS CAMBIOS PATOLÓGICOS DE LA ENFERMEDAD DE ALZHEIMER
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Muñoz García, M., Deming, Y., Johnson, S., Asthana, S., Carlsson, C., Okonkwo, O., Pérez Martínez, D., Villarejo Galende, A., Blennow, K., Zetterberg, H., Bundling, B., and Morenas Rodríguez, E.
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- 2024
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36. 21177. ASOCIACIÓN ENTRE BD-TAU EN SANGRE Y TEST NEUROPSICOLÓGICOS EN UNA COHORTE DEL CONTINUUM CLÍNICO DE ALZHEIMER
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García Escobar, G., Manero, R., Fernández Lebrero, A., Jiménez Balado, J., Contador, J., Navalpotro Gómez, I., Puente Périz, V., Grau Rivera, O., Estragués Gázquez, I., González Ortiz, F., Karikari, T., Zetterberg, H., Blennow, K., Suárez Calvet, M., and Puig Pijoan, A.
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- 2024
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37. Correction: Preclinical amyloid pathology biomarker positivity: effects on tau pathology and neurodegeneration
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Höglund, K., Kern, S., Zettergren, A., Börjesson-Hansson, A., Zetterberg, H., Skoog, I., and Blennow, K.
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- 2018
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38. Polymorphisms in dopamine‐associated genes and cognitive decline in Parkinsonʼs disease
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Bäckström, D., Eriksson Domellöf, M., Granåsen, G., Linder, J., Mayans, S., Elgh, E., Zetterberg, H., Blennow, K., and Forsgren, L.
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- 2018
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39. Plasma and cerebrospinal fluid tau and neurofilament concentrations in rapidly progressive neurological syndromes: a neuropathology‐based cohort
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Kovacs, G. G., Andreasson, U., Liman, V., Regelsberger, G., Lutz, M. I., Danics, K., Keller, E., Zetterberg, H., and Blennow, K.
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- 2017
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40. MEASUREMENT AND CLINICAL UTILITY OF CSF PROTEINS: Tues, 24 h14.00 - Facing the future of Alzheimerʼs disease: the value of the medical laboratory
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Blennow, K.
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- 2017
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41. STANDARDIZATION OF CSF PROTEINS: Mon, 23 h9.00 - Recent advances in standardisation
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Blennow, K.
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- 2017
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42. 119 NeuroToolkit CSF biomarkers track the progression of Alzheimer’s disease at very early stages
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Molinuevo, JL, primary, Salvadó, G, additional, Kollmorgen, G, additional, Milà-Alomà, M, additional, Blennow, K, additional, Zetterberg, H, additional, Farrar, G, additional, Suarez-Calvet, M, additional, and Gispert, JD, additional
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- 2022
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43. Development of a Specific Diagnostic Test for Measurement of β-Amyloid (1-42) [βA4(l-42)] in CSF
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Vanderstichele, H., Blennow, K., D’Heuvaert, N., Buyse, M.-A., Wallin, A., Andreasen, N., Seubert, P., Van de Voorde, A., Vanmechelen, E., Fisher, Abraham, editor, Hanin, Israel, editor, and Yoshida, Mitsuo, editor
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- 1998
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44. Combination of the different biological markers for increasing specificity of in vivo Alzheimer’s testing
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Blennow, K., Vanmechelen, E., Jellinger, K., editor, Fazekas, F., editor, and Windisch, M., editor
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- 1998
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45. Proteolytic Activity is Increased in Lymphocytes from Patients with Alzheimer’s Disease
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Karlsson, J.-O., Blennow, K., Janson, I., Blomgren, K., Karlsson, I., Regland, B., Wallin, A., Gottfries, C. G., Teelken, Albert, editor, and Korf, Jaap, editor
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- 1997
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46. BRINGING THE BENCH TO THE BEDSIDE: UPDATES ON THE MIND STUDY AND WHAT A ROUTINELY AVAILABLE SIMPLE BLOOD TEST FOR NEUROFILAMENT LIGHT WOULD MEAN AT THE CLINICAL COAL FACE FOR PATIENTS AND FAMILIES, PSYCHIATRISTS, NEUROLOGISTS, GERIATRICIANS AND GENERAL PRACTITIONERS
- Author
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Eratne, D, Lewis, C, Cadwallader, C, Kang, M, Keem, M, Santillo, A, Li, QX, Stehmann, C, Loi, SM, Walterfang, M, Watson, R, Yassi, N, Blennow, K, Zetterberg, H, Janelidze, S, Hansson, O, Berry-Kravitz, E, Brodtmann, A, Darby, D, Walker, A, Dean, O, Masters, CL, Collins, S, Berkovic, SF, Velakoulis, D, Eratne, D, Lewis, C, Cadwallader, C, Kang, M, Keem, M, Santillo, A, Li, QX, Stehmann, C, Loi, SM, Walterfang, M, Watson, R, Yassi, N, Blennow, K, Zetterberg, H, Janelidze, S, Hansson, O, Berry-Kravitz, E, Brodtmann, A, Darby, D, Walker, A, Dean, O, Masters, CL, Collins, S, Berkovic, SF, and Velakoulis, D
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- 2022
47. Central nervous system monoaminergic activity in hip osteoarthritis patients with disabling pain : associations with pain severity and central sensitization
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Bjurstrom, M. F., Blennow, K., Zetterberg, H., Bodelsson, M., Walden, M., Dietz, N., Hall, S., Hansson, O., Irwin, M. R., Mattsson-Carlgren, N., Bjurstrom, M. F., Blennow, K., Zetterberg, H., Bodelsson, M., Walden, M., Dietz, N., Hall, S., Hansson, O., Irwin, M. R., and Mattsson-Carlgren, N.
- Abstract
INTRODUCTION: Monoaminergic activity modulates nociceptive transmission in the central nervous system (CNS). Although pain is the most disabling symptom of osteoarthritis (OA), limited knowledge exists regarding the CNS mechanisms that amplify pain and drive sensitization processes in humans. OBJECTIVES: The main objective of this study was to evaluate associations between cerebrospinal fluid (CSF) monoamine metabolites, pain severity, and central sensitization in patients with OA undergoing total hip arthroplasty (THA). METHODS: Patients with OA (n = 52) and pain-free controls (n = 30) provided CSF samples for measurement of serotonin (5-hydroxyindoleacetic acid [5-HIAA]), noradrenaline (3-methoxy-4-hydroxyphenylglycol [HMPG]), and dopamine (homovanillic acid [HVA]) monoamine metabolites. Patients with OA completed longitudinal evaluation of pain using clinical measures and quantitative sensory testing. RESULTS: Patients with OA had higher HMPG levels when compared with controls (P = 0.036). Within patients with OA undergoing THA, higher 5-HIAA and HVA levels were consistently associated with higher preoperative pain severity. Higher concentrations of 5-HIAA and HVA were also associated with lower conditioned pain modulation levels, whereas higher HMPG levels were linked to more efficient conditioned pain modulation. Patients with higher levels of CSF HVA exhibited increased pressure pain sensitivity (arm pressure pain detection threshold < 250 kPa vs >/= 250 kPa, P = 0.042). Higher preoperative levels of CSF 5-HIAA predicted poorer pain control 6 months postoperatively (brief pain inventory pain severity; adjusted beta = 0.010, 95% CI 0.001-0.019). CONCLUSIONS: In OA patients with disabling pain, higher CSF levels of serotonin and dopamine metabolites are associated with increased pain severity and central sensitization. Increased noradrenergic activity may be associated with more efficient pain inhibitory capacity., Bjurstrom, Martin F Blennow, Kaj Zetterberg, Henrik Bodelsson, Mikael Walden, Markus Dietz, Nicholas Hall, Sara Hansson, Oskar Irwin, Michael R Mattsson-Carlgren, Niklas eng 2022/02/01 Pain Rep. 2022 Jan 24;7(1):e988. doi: 10.1097/PR9.0000000000000988. eCollection 2022 Jan-Feb.
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- 2022
48. Neurotoxicity with high-dose disulfiram and vorinostat used for HIV latency reversal
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McMahon, J.H., Evans, V.A., Lau, J.S., Symons, J., Zerbato, J.M., Chang, J., Solomon, A., Tennakoon, S., Dantanarayana, A., Hagenauer, M., Lee, S., Palmer, S., Fisher, K., Bumpus, N., Heck, C.J.S., Burger, D.M., Wu, G., Zuck, P., Howell, B.J., Zetterberg, H.H., Blennow, K., Gisslen, M., Rasmussen, T.A., Lewin, S.R., McMahon, J.H., Evans, V.A., Lau, J.S., Symons, J., Zerbato, J.M., Chang, J., Solomon, A., Tennakoon, S., Dantanarayana, A., Hagenauer, M., Lee, S., Palmer, S., Fisher, K., Bumpus, N., Heck, C.J.S., Burger, D.M., Wu, G., Zuck, P., Howell, B.J., Zetterberg, H.H., Blennow, K., Gisslen, M., Rasmussen, T.A., and Lewin, S.R.
- Abstract
Item does not contain fulltext, OBJECTIVE: The aim of this study was to examine whether administering both vorinostat and disulfiram to people with HIV (PWH) on antiretroviral therapy (ART) is well tolerated and can enhance HIV latency reversal. DESIGN: Vorinostat and disulfiram can increase HIV transcription in PWH on ART. Together, these agents may lead to significant HIV latency reversal. METHODS: Virologically suppressed PWH on ART received disulfiram 2000 mg daily for 28 days and vorinostat 400 mg daily on days 8-10 and 22-24. The primary endpoint was plasma HIV RNA on day 11 relative to baseline using a single copy assay. Assessments included cell-associated unspliced RNA as a marker of latency reversal, HIV DNA in CD4+ T-cells, plasma HIV RNA, and plasma concentrations of ART, vorinostat, and disulfiram. RESULTS: The first two participants (P1 and P2) experienced grade 3 neurotoxicity leading to trial suspension. After 24 days, P1 presented with confusion, lethargy, and ataxia having stopped disulfiram and ART. Symptoms resolved by day 29. After 11 days, P2 presented with paranoia, emotional lability, lethargy, ataxia, and study drugs were ceased. Symptoms resolved by day 23. CA-US RNA increased by 1.4-fold and 1.3-fold for P1 and P2 respectively. Plasma HIV RNA was detectable from day 8 to 37 (peak 81 copies ml-1) for P2 but was not increased in P1 Antiretroviral levels were therapeutic and neuronal injury markers were elevated in P1. CONCLUSION: The combination of prolonged high-dose disulfiram and vorinostat was not safe in PWH on ART and should not be pursued despite evidence of latency reversal.
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- 2022
49. Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum
- Author
-
Jansen, W.J., Janssen, O., Tijms, B.M., Vos, S.J.B., Ossenkoppele, R., Visser, P.J., Group, A.B.S., Aarsland, D., Alcolea, D., Altomare, D., Arnim, C. von, Baiardi, S., Baldeiras, I., Barthel, H., Bateman, R.J., Berckel, B. Van, Binette, A.P., Blennow, K., Boada, M., Boecker, H., Bottlaender, M., Braber, A., Brooks, D.J., Buchem, M.A. van, Camus, V., Carill, J.M., Cerman, J., Chen, K., Chételat, G., Chipi, E., Cohen, A.D., Daniels, A., Delarue, M., Didic, M., Drzezga, A., Dubois, B., Eckerström, M., Ekblad, L.L., Engelborghs, S., Epelbaum, S., Fagan, A.M., Fan, Y., Fladby, T., Fleisher, A.S., Flier, W.M. van der, Förster, S., Fortea, J., Frederiksen, K.S., Freund-Levi, Y., Frings, L., Frisoni, G.B., Fröhlich, L., Gabryelewicz, T., Gertz, H.J., Gill, K.D., Gkatzima, O., Gómez-Tortosa, E., Grimmer, T., Guedj, E., Habeck, C.G., Hampel, H., Handels, R., Hansson, O., Hausner, L., Hellwig, S., Heneka, M.T., Herukka, S.K., Hildebrandt, H., Hodges, J., Hort, J., Huang, C.C., Iriondo, A.J., Itoh, Y., Ivanoiu, A., Jagust, W.J., Jessen, F., Johannsen, P., Johnson, K.A., Kandimalla, R., Kapaki, E.N., Kern, S., Kilander, L., Klimkowicz-Mrowiec, A., Klunk, W.E., Koglin, N., Kornhuber, J., Kramberger, M.G., Kuo, H.C., Laere, K. Van, Landau, S.M., Landeau, B., Lee, Dyantha I. van der, Leon, M., Leyton, C.E., Lin, K.J., Lleó, A., Löwenmark, M., Madsen, K., Maier, W., Marcusson, J., Olde Rikkert, M.G.M., Verbeek, M.M., Zboch, M., Zetterberg, H., Jansen, W.J., Janssen, O., Tijms, B.M., Vos, S.J.B., Ossenkoppele, R., Visser, P.J., Group, A.B.S., Aarsland, D., Alcolea, D., Altomare, D., Arnim, C. von, Baiardi, S., Baldeiras, I., Barthel, H., Bateman, R.J., Berckel, B. Van, Binette, A.P., Blennow, K., Boada, M., Boecker, H., Bottlaender, M., Braber, A., Brooks, D.J., Buchem, M.A. van, Camus, V., Carill, J.M., Cerman, J., Chen, K., Chételat, G., Chipi, E., Cohen, A.D., Daniels, A., Delarue, M., Didic, M., Drzezga, A., Dubois, B., Eckerström, M., Ekblad, L.L., Engelborghs, S., Epelbaum, S., Fagan, A.M., Fan, Y., Fladby, T., Fleisher, A.S., Flier, W.M. van der, Förster, S., Fortea, J., Frederiksen, K.S., Freund-Levi, Y., Frings, L., Frisoni, G.B., Fröhlich, L., Gabryelewicz, T., Gertz, H.J., Gill, K.D., Gkatzima, O., Gómez-Tortosa, E., Grimmer, T., Guedj, E., Habeck, C.G., Hampel, H., Handels, R., Hansson, O., Hausner, L., Hellwig, S., Heneka, M.T., Herukka, S.K., Hildebrandt, H., Hodges, J., Hort, J., Huang, C.C., Iriondo, A.J., Itoh, Y., Ivanoiu, A., Jagust, W.J., Jessen, F., Johannsen, P., Johnson, K.A., Kandimalla, R., Kapaki, E.N., Kern, S., Kilander, L., Klimkowicz-Mrowiec, A., Klunk, W.E., Koglin, N., Kornhuber, J., Kramberger, M.G., Kuo, H.C., Laere, K. Van, Landau, S.M., Landeau, B., Lee, Dyantha I. van der, Leon, M., Leyton, C.E., Lin, K.J., Lleó, A., Löwenmark, M., Madsen, K., Maier, W., Marcusson, J., Olde Rikkert, M.G.M., Verbeek, M.M., Zboch, M., and Zetterberg, H.
- Abstract
Contains fulltext : 248802.pdf (Publisher’s version ) (Closed access)
- Published
- 2022
50. Validation of the LUMIPULSE automated immunoassay for the measurement of core AD biomarkers in cerebrospinal fluid
- Author
-
Gobom, J., Parnetti, L., Rosa-Neto, P., Vyhnalek, M., Gauthier, S., Cataldi, S., Lerch, O., Laczo, J., Cechova, K., Clarin, M., Benet, A.L., Pascoal, T.A., Rahmouni, N., Vandijck, M., Huyck, E., Bastard, N. Le, Stevenson, J., Chamoun, M., Alcolea, D., Lleó, A., Andreasson, U., Verbeek, M.M., Bellomo, G., Rinaldi, R., Ashton, N.J., Zetterberg, H., Sheardova, K., Hort, J., Blennow, K., Gobom, J., Parnetti, L., Rosa-Neto, P., Vyhnalek, M., Gauthier, S., Cataldi, S., Lerch, O., Laczo, J., Cechova, K., Clarin, M., Benet, A.L., Pascoal, T.A., Rahmouni, N., Vandijck, M., Huyck, E., Bastard, N. Le, Stevenson, J., Chamoun, M., Alcolea, D., Lleó, A., Andreasson, U., Verbeek, M.M., Bellomo, G., Rinaldi, R., Ashton, N.J., Zetterberg, H., Sheardova, K., Hort, J., and Blennow, K.
- Abstract
Item does not contain fulltext
- Published
- 2022
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