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The pre-synaptic vesicle protein synaptotagmin is a novel biomarker for Alzheimer’s disease
Open accessAbstract
BACKGROUND: Synaptic degeneration is a central pathogenic event in Alzheimer's disease that occurs early during the course of disease and correlates with cognitive symptoms. The pre-synaptic vesicle protein synaptotagmin-1 appears to be essential for the maintenance of an intact synaptic transmission and cognitive function. Synaptotagmin-1 in cerebrospinal fluid is a candidate Alzheimer biomarker for synaptic dysfunction that also may correlate with cognitive decline. METHODS: In this study, a novel mass spectrometry-based assay for measurement of cerebrospinal fluid synaptotagmin-1 was developed, and was evaluated in two independent sample sets of patients and controls. Sample set I included cerebrospinal fluid samples from patients with dementia due to Alzheimer's disease (N = 17, age 52-86 years), patients with mild cognitive impairment due to Alzheimer's disease (N = 5, age 62-88 years), and controls (N = 17, age 41-82 years). Sample set II included cerebrospinal fluid samples from patients with dementia due to Alzheimer's disease (N = 24, age 52-84 years), patients with mild cognitive impairment due to Alzheimer's disease (N = 18, age 58-83 years), and controls (N = 36, age 43-80 years). RESULTS: The reproducibility of the novel method showed coefficients of variation of the measured synaptotagmin-1 peptide 215-223 (VPYSELGGK) and peptide 238-245 (HDIIGEFK) of 14 % or below. In both investigated sample sets, the CSF levels of synaptotagmin-1 were significantly increased in patients with dementia due to Alzheimer's disease (P ≤ 0.0001) and in patients with mild cognitive impairment due to Alzheimer's disease (P < 0.001). In addition, in sample set I the synaptotagmin-1 level was significantly higher in patients with mild cognitive impairment due to Alzheimer's disease compared with patients with dementia due to Alzheimer's disease (P ≤ 0.05). CONCLUSIONS: Cerebrospinal fluid synaptotagmin-1 is a promising biomarker to monitor synaptic dysfunction and degeneration in Alzheimer's disease that may be useful for clinical diagnosis, to monitor effect on synaptic integrity by novel drug candidates, and to explore pathophysiology directly in patients with Alzheimer's disease.
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“Neurogranin (a key regulator of the calcium-binding protein calmodulin), synaptogamin (a calcium sensor protein), and SNAP-25 (a component of the SNARE [soluble N-ethylmaleimide sensitive factor attachment protein receptor] complex) are the strongest candidates for in vivo tracking synaptic homeostasis (131–133).”
From The β-Secretase BACE1 in Alzheimer’s Disease (2021) · cites this paper as [131]
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McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359
Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152 · cited 1×
“For each patient, diagnosis was made considering CSF results and according to validated clinical diagnostic criteria for dementia due to Alzheimer’s disease [28], MCI due to Alzheimer’s disease [29, 30], subjective cognitive impairment [31], and psychiatric disorder (DSM-IV).”
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
Alzheimer's Disease Is a Synaptic Failure
Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420
Terry, R. D., Masliah, E., Salmon, D. P., Butters, N., DeTeresa, R., Hill, R., Hansen, L. A., & Katzman, R. (1991) · Annals of Neurology · doi:10.1002/ana.410300410 · Cited by 4,397
Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria
Dubois, B., Feldman, H. H., Jacova, C., Hampel, H., Molinuevo, J. L., Blennow, K., DeKosky, S. T., Gauthier, S., Selkoe, D., Bateman, R., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70090-0 · Cited by 3,321
Self-citationBlennow, K., de Leon, M. J., & Zetterberg, H. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69113-7 · Cited by 3,134
Self-citationAlbert, M., DeKosky, S. T., Dickson, D. W., Dubois, B., Feldman, H., Fox, N. C., Gamst, A. C., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2013) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.11.1.96 · Cited by 2,639
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Items 101–185 of 185
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Casaletto, K. B., Zetterberg, H., Blennow, K., Brinkmalm, A., Honer, W. G., Schneider, J. A., Bennett, D. A., Djukic, N. A., You, M. Y., Weiner‐Light, S., et al. (2021) · Neurology · doi:10.1212/wnl.0000000000012145 · Cited by 14
Self-citationZhang, Y., Hu, Y., Han, Z., Geng, Y., Xia, Z., Zhou, Y., Wang, Z., Wang, Y., Kong, E., Wang, X., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220009 · Cited by 12
Zhang, P., Zhao, L., Li, H., Shen, J., Li, H., & Xing, Y. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1083928 · Cited by 12
Alzheimer’s disease biomarker profiling in a memory clinic cohort without common comorbidities
Daniilidou, M., Eroli, F., Alanko, V., Goikolea, J., Latorre‐Leal, M., Rodriguez‐Rodriguez, P., Griffiths, W. J., Wang, Y., Pacciarini, M., Brinkmalm, A., et al. (2023) · Brain Communications · doi:10.1093/braincomms/fcad228 · Cited by 14
Self-citationIdentification of key regulatory molecules in the early development stage of Alzheimer's disease
Huang, B., Ou, G., & Zhang, N. (2024) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.18151 · Cited by 11
Biofluid biomarkers for Alzheimer’s disease: past, present, and future
An, C., Cai, H., Ren, Z., Fu, X., Quan, S., & Jia, L. (2024) · Medical Review · doi:10.1515/mr-2023-0071 · Cited by 14
Recent advances in pre-clinical diagnosis of Alzheimer’s disease
Zhou, J., Benoit, M., & Sharoar, M. G. (2021) · Metabolic Brain Disease · doi:10.1007/s11011-021-00733-4 · Cited by 14
Zhang, Z., Zeng, L.-P., Chen, J., Wu, Y.-F., Wang, Y., Xia, L., Yang, Q., Wang, F., & Chen, G. (2022) · Neural Plasticity · doi:10.1155/2022/1483101 · Cited by 12
AD molecular: Molecular imaging of Alzheimer's disease: PET imaging of neurotransmitter systems
Mecca, A. P. (2019) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2019.04.003 · Cited by 13
Saunders, T. S., Gadd, D. A., Spires‐Jones, T. L., King, D., Ritchie, C. W., & Terrera, G. M. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15656 · Cited by 12
Milos, T., Vuić, B., Balic, N., Farkaš, V., Erjavec, G. N., Štrac, D. Š., Perković, M. N., & Pivac, N. (2024) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2024.2400683 · Cited by 11
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Svenningsson, A. L., Bocancea, D. I., Stomrud, E., van Loenhoud, A. C., Barkhof, F., Mattsson, N., Palmqvist, S., Hansson, O., & Ossenkoppele, R. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01591-9 · Cited by 12
Self-citationA Map of Transcriptomic Signatures of Different Brain Areas in Alzheimer’s Disease
Ferrari, R. R., Fantini, V., Garofalo, M., Di Gerlando, R., Dragoni, F., Rizzo, B., Spina, E., Rossi, M., Calatozzolo, C., Profka, X., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252011117 · Cited by 14
Warpechowski, M., Warpechowski, J. J., Kulczyńska‐Przybik, A., & Mroczko, B. (2022) · Medical Science Monitor · doi:10.12659/msm.938826 · Cited by 11
SNARE Complex–Associated Proteins and Alcohol
Das, J. (2019) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14238 · Cited by 11
Duits, F. H., Nilsson, J., Zetterberg, H., Blennow, K., van der Flier, W. M., Teunissen, C. E., & Brinkmalm, A. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-240610 · Cited by 12
Self-citationMecca, A. P., Ashton, N. J., Chen, M., O’Dell, R. S., Toyonaga, T., Zhao, W., Young, J. J., Salardini, E., Bates, K. A., Ra, J., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70344 · Cited by 10
Self-citationPrecision Medicine: Role of Biomarkers in Early Prediction and Diagnosis of Alzheimer’s Disease
Shen, L., Xia, S., Zhang, H., Yao, F., Liu, X., Zhao, Y., Ying, M., Iqbal, J., & Liu, Q. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.82035 · Cited by 9
Mol, P., Gopalakrishnan, L., Chatterjee, O., Mangalaparthi, K. K., Kumar, M., Durgad, S. S., Nair, B. G., Shankar, S. K., Mahadevan, A., & Prasad, T. S. K. (2022) · Journal of Proteome Research · doi:10.1021/acs.jproteome.2c00143 · Cited by 8
Batool, S., Akhter, B., Zaidi, J., Visser, F., Petrie, G. N., Hill, M. N., & Syed, N. I. (2021) · Cells · doi:10.3390/cells10123286 · Cited by 9
Xu, C., Sellgren, C. M., Fatouros‐Bergman, H., Piehl, F., Blennow, K., Zetterberg, H., Brinkmalm, A., Santillo, A. F., Lundgren, S., Červenka, S., et al. (2020) · IBRO Reports · doi:10.1016/j.ibror.2020.04.001 · Cited by 9
Self-citationFaldu, K. G., & Shah, J. (2022) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2022.2104639 · Cited by 10
Levetiracetam Affects Differentially Presynaptic Proteins in Rat Cerebral Cortex
Marcotulli, D., Fattorini, G., Bragina, L., Perugini, J., & Conti, F. (2017) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2017.00389 · Cited by 9
van den Berg, E., Nilsson, J., Kersten, I., Brinkmalm, G., de Kort, A. M., Klijn, C. J. M., Schreuder, F. H. B. M., Jäkel, L., Gobom, J., Portelius, E., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-220977 · Cited by 8
Self-citationBiofluid biomarkers for Alzheimer’s disease
Wang, S., Xie, S., Zheng, Q., Zhang, Z., Wang, T., & Zhang, G. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1380237 · Cited by 9
Biddle, M., Alende, C., Fotouhi, M., Jones, C., Ayoubi, R., Southern, K., Laflamme, C., Virk, H. S., & NeuroSGC/YCharOS/EDDU collaborative group (2024) · F1000Research · doi:10.12688/f1000research.154034.1 · Cited by 8
Pomilio, A. B., Vitale, A. A., & Lazarowski, A. (2022) · Current Pharmaceutical Design · doi:10.2174/1381612828666220413094918 · Cited by 9
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Krishnamurthy, K., & Pasinelli, P. (2021) · Journal of Neuroscience Research · doi:10.1002/jnr.24824 · Cited by 8
Biomarkers and Their Implications in Alzheimer’s Disease: A Literature Review
Marcucci, V., & Kleiman, J. (2021) · Exploratory Research and Hypothesis in Medicine · doi:10.14218/erhm.2021.00016 · Cited by 8
Saloner, R., Fonseca, C. S., Paolillo, E. W., Asken, B. M., Djukic, N. A., Lee, S. Y., Nilsson, J., Brinkmalm, A., Blennow, K., Zetterberg, H., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000201165 · Cited by 8
Self-citationAo, J., Picard, C., Auld, D. S., Zetterberg, H., Brinkmalm, A., Blennow, K., Villeneuve, S., Breitner, J. C. S., Poirier, J., Breitner, J., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-024-02884-z · Cited by 11
Self-citationZhang, J., Guo, S., Tao, R., Wang, F., Xie, Y., Wang, H., Ding, L., Shen, Y., Zhou, X., Feng, J., et al. (2023) · Neuroscience Letters · doi:10.1016/j.neulet.2023.137560 · Cited by 7
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Pashaei, E., Pashaei, E., & Aydın, N. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26051816 · Cited by 8
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Keller, L. J., Sekula, N. M., Svirsky, S. E., Maesako, M., Zoltowska, K. M., & Berezovska, O. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.10.006 · Cited by 7
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Ioannidou, S., Ginoudis, A., Makedou, K., Tsolaki, M., & Lymperaki, E. (2025) · Journal of Xenobiotics · doi:10.3390/jox15020050 · Cited by 6
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Lewczuk, P., Łukaszewicz‐Zając, M., Kornhuber, J., & Mroczko, B. (2024) · Neurologia i Neurochirurgia Polska · doi:10.5603/pjnns.100675 · Cited by 7
Multivariate proteome-wide association study to identify causal proteins for Alzheimer disease
Fang, L., Xue, H., Lin, Z., & Pan, W. (2025) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.12.010 · Cited by 6
Mol, P., Chatterjee, O., Gopalakrishnan, L., Mangalaparthi, K. K., Bhat, F. A., Kumar, M., Nair, B. G., Shankar, S. K., Mahadevan, A., & Prasad, T. S. K. (2022) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2022.0053 · Cited by 5
Boersema, P. J., Melnik, A., Hazenberg, B. P. C., Rezeli, M., Marko‐Varga, G., Kamiie, J., Portelius, E., Blennow, K., Zubarev, R. A., Polymenidou, M., et al. (2018) · Journal of Proteome Research · doi:10.1021/acs.jproteome.8b00401 · Cited by 6
Self-citationAdeoye, T., Shah, S. I., & Ullah, G. (2024) · Aging and Disease · doi:10.14336/ad.2024.0429 · Cited by 7
Pan, W., Teng, Y., Han, X., Liu, S., Pang, X., Wang, L., & Zhao, M. (2025) · The Journal of Prevention of Alzheimer s Disease · doi:10.1016/j.tjpad.2025.100193 · Cited by 5
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Self-citationBatool, S., Zaidi, J., Akhter, B., Ulfat, A. K., Visser, F., & Syed, N. I. (2021) · Cells · doi:10.3390/cells10051215 · Cited by 5
Bellver‐Sanchís, A., Valle‐García, D., Barbaraci, C., Romero-Becerra, F., Singh, R. K., Jarné‐Ferrer, J., Vasilopoulou, F., Irisarri, A., Martínez-Fernández, C., Fafián-Labora, J. A., et al. (2025) · Molecular Therapy · doi:10.1016/j.ymthe.2025.12.038 · Cited by 5
Евгеньевна, Т. Е., Yakimov, A. M., Paramonova, A. I., Александровна, У. А., Павлович, У. Н., Олегович, И. Н., Utyasheva, A. A., Yakunina, A. V., Kalinin, V. A., & Дмитренко, Д. В. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241311130 · Cited by 4
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Cartas‐Cejudo, P., Cortés, A., Lachén‐Montes, M., Anaya‐Cubero, E., Peral, E., Ausín, K., Díaz, R., Fernández‐Irigoyen, J., & Santamaría, E. (2024) · Expert Review of Proteomics · doi:10.1080/14789450.2024.2313073 · Cited by 4
Premkumar, T., Katta, B., Sajitha Lulu, S., & Sundararajan, V. (2023) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2023.2256878 · Cited by 5
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Caro, V. D., Williams, C., North, H. A., & Hamby, M. E. (2025) · Wiley eBooks · doi:10.1002/9783527844678.ch7 · Cited by 5
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Tang, Y., Park, H.-J., Li, S., & Fitzgerald, M. C. (2024) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00406 · Cited by 2
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Sutphen, C. L., Volluz, K., & Tarawneh, R. M. (2025) · Springer eBooks · doi:10.1007/978-3-031-80849-4_8 · Cited by 2
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Picard, C., Zetterberg, H., Blennow, K., Villeneuve, S., & Poirier, J. (2025) · Genes · doi:10.3390/genes16070818 · Cited by 4
Self-citationSharma, N., Kim, D., Sharma, H., Kim, M. I., Lee, H., Kim, M., Ryoo, N., Kang, M. J., Pyun, J., Park, Y. H., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70475 · Cited by 1
Self-citationFluid Biomarkers in Alzheimer’s Disease and Frontotemporal Dementia
Mattsson, N., Grigoriou, S., & Zetterberg, H. (2018) · Springer eBooks · doi:10.1007/978-3-319-72938-1_11 · Cited by 2
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Hugon, J., Dumurgier, J., Cognat, E., & Paquet, C. (2018) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/s0001-4079(19)30359-0 · Cited by 2
Self-citationKara, B., Beck, J. S., Fu, Z., Hickey, S. L., Kanaan, N. M., Mufson, E. J., Ginsberg, S. D., & Counts, S. (2025) · Acta Neuropathologica Communications · doi:10.1186/s40478-025-02080-2 · Cited by 1
Fernandes, M. G. F., Pinard, M., Sokullu, E., Tremblay, C., Gagnon, J., Calon, F., Coulombe, B., & Brouillette, J. (2026) · The Journals of Gerontology Series A · doi:10.1093/gerona/glag009 · Cited by 1
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Poluri, K. M., Gulati, K., Tripathi, D. K., & Nagar, N. (2023) · Springer eBooks · doi:10.1007/978-981-99-2423-3_3 · Cited by 2
Shao, L., & Li, B. (2024) · DNA and Cell Biology · doi:10.1089/dna.2024.0106 · Cited by 1
Level of CSF GAP-43 and white matter microstructural changes in Alzheimer's disease
Assefi, M., Sharafshah, A., Ashtari, A., Afshar, S., Moghtader, K. P., & Waheed, Y. (2024) · Neurology Letters · doi:10.61186/nl.3.2.1 · Cited by 1
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de Salazar, M. G. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.25.538253 · Cited by 1
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Kvartsberg, H. (2019) · Gothenburg University Publications Electronic Archive (Gothenburg University)
Strain-specific profiling of Amyloid-β in Alzheimer´s disease: functional and clinical signature
Noor, A. (2020) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-7997
Liu, W., Yang, Y., Jin, Y., Song, C., Ye, X., & Zhu, W. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3996123
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Vo, G. V., Nguyen, M. N., & Toi, V. V. (2021) · Science & Technology Development Journal - Health Sciences · doi:10.32508/stdjhs.v2i1.458
Filho, L. C. F., Aranha, M. F. D. A. C., Cabeça, R. A. S., Massoud, R. O., Cohen, S. B., Fernandes, L. M. P., de Oliveira, R. D. C. S., & Cohen, P. B. (2023) · Arquivos de Ciências da Saúde da UNIPAR · doi:10.25110/arqsaude.v27i10.2023-012
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Kanuri, S. H., & Sirrkay, P. J. (2024) · Neurology Letters · doi:10.61186/nl.3.3.19
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Griñán‐Ferré, C., Bellver‐Sanchís, A., Valle‐García, D., Barbaraci, C., Romero-Beccera, F., Singh, R., Vasilopoulou, F., Irisarri, A., Martı́nez, C., Fafián‐Labora, J., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-6940373/v1
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Tarawneh, R. M. (2025) · Springer eBooks · doi:10.1007/978-3-031-80849-4_4
Goossens, J., González, A. C., Dewit, N., Lidón, L., Fortea, J., Alcolea, D. A., Lleó, A., Belbin, O., & Vanmechelen, E. (2024) · Figshare · doi:10.6084/m9.figshare.26633556
Goossens, J., González, A. C., Dewit, N., Lidón, L., Fortea, J., Alcolea, D. A., Lleó, A., Belbin, O., & Vanmechelen, E. (2024) · Figshare · doi:10.6084/m9.figshare.26633550
Goossens, J., González, A. C., Dewit, N., Lidón, L., Fortea, J., Alcolea, D. A., Lleó, A., Belbin, O., & Vanmechelen, E. (2024) · Figshare · doi:10.6084/m9.figshare.26633553
Halbgebauer, S., Steinacker, P., Riedel, D., Oeckl, P., Anderl-Straub, S., Lombardi, J., Arnim, C. A. F. V., Nagl, M., Giese, A., Ludolph, A. C., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21622142
Tomadesso, C. (2018) · theses.fr (ABES) · doi:10.70675/7fad6418zff81z49c7z984dz63aa2e44d7fc
Castelot, R. (2024) · theses.fr (ABES) · doi:10.70675/c2a7ce1ez8caaz4593zbb3azae8add8055b5
The role of the α7 nicotinic acetylcholine receptor in a model of amyloid pathology
Santos, D. G. (2024) · theses.fr (ABES) · doi:10.70675/b3ed4de5zcd9ez4421za129z0a05130d86b9
Tan, Y. J., Chauhan, M., Chakravarty, S., Timsina, J., Ali, M., Tan, N. I., Zeng, L., Tan, L., Chiew, H. J., Ng, K. P., et al. (2026) · medRxiv · doi:10.64898/2026.04.14.26350728
Li, J., Lian, T., Guo, P., Li, J., Qi, J., He, M.-Y., Dong-mei, L., Zhang, Y.-N., Gai-fen, L., Huang, Y., et al. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1737524
Functional Pathological Features and Molecular Markers in Alzheimer’s Disease
Park, M.-N., Kim, H. W., Hong, J., Kim, J. K., Lee, S.-B., Baek, H. S., Kwak, S., Kwon, Y. J., Park, K., Jeon, J., et al. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27114720
Han, H., Xie, X., Xie, M., Zhang, Y., Cheng, J., & Xu, J. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1826512
Pehlivan, Z. N., Zıkşahna, K., Adıyıl, R., & Ihlamur, M. (2026) · Metabolic Brain Disease · doi:10.1007/s11011-026-01993-8
Metadata
- Authors
- Öhrfelt, A., Brinkmalm, A., Dumurgier, J., Brinkmalm, G., Hansson, O., Zetterberg, H., Bouaziz-Amar, E., Hugon, J., Paquet, C., & Blennow, K.
- Affiliations
- Sahlgrenska University Hospital (SE)
- Inserm (FR)
- Lund University (SE)
- Corresponding author
- Öhrfelt, Annika
- ORCID
- Venue
- Alzheimer's Research & Therapy
- Published
- 2016-10-03
- Volume
- 8
- Issue
- 1
- Pages
- 41-41
- ISSN
- 1758-9193 (ISSN-L)
- PMC
- PMC5048479
- OpenAlex
- W2529693680
- Cited by
- 184
- References
- 40
- Citations by year
- 2026: 6 · 2025: 17 · 2024: 35 · 2023: 18 · 2022: 31 · 2021: 22 · 2020: 26 · 2019: 14 · 2018: 13 · 2017: 2
- FWCI
- 7.78
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Alzheimer s Research & Therapy (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- Swedish Brain Power
- Swedish research council
- Swedish Alzheimer foundation
- European research council
- ALF
- The Knut and Wallenberg foundation
- Demensfonden
- Eivind och Elsa K:son Sylvans stiftelse
- the Wolfson foundation
- Märtha och Gustaf Ågrens stiftelse
- Gun och Bertil Stohnes Stiftelse
- Stiftelsen gamla tjänarinnor
- Magnus Bergvalls Stiftelse
- Svenska Läkaresällskapet
- Åhlén-stiftelsen
- BMBF BIOMARK-APD
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- synaptotagmin-1, Alzheimer's disease, cerebrospinal fluid biomarkers, synaptic dysfunction, synaptic degeneration, mild cognitive impairment, dementia, cognitive decline, drug monitoring, neurodegeneration biomarkers, tau protein, neuroinflammation, neurofibrillary tangles, neurodegeneration
- MeSH terms
- Adult, Aged, Aged, 80 and over, Alzheimer Disease, Cognition Disorders, Dementia, Female, Humans, Male, Middle Aged, Peptide Fragments, Peptides, Psychiatric Status Rating Scales, ROC Curve, Mass Spectrometry, Amyloid beta-Peptides, tau Proteins, Immunoprecipitation, Synaptotagmin I
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