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CSF Aβ 42 levels correlate with amyloid-neuropathology in a population-based autopsy study
Abstract
OBJECTIVE: To investigate the relationship of amyloid neuropathology to postmortem CSF Abeta 42 levels in an autopsy sample of Japanese American men from the population-based Honolulu-Asia Aging Study. METHODS: In 1991, participants were assessed and diagnosed with dementia (including subtype) based on published criteria. At death CSF was obtained from the ventricles. Neuritic plaques (NP) and diffuse plaques in areas of the neocortex and hippocampus were examined using Bielschowsky silver stains. Cerebral amyloid angiopathy (CAA) was measured by immunostaining for beta4 amyloid in cerebral vessels in the neocortex. Neuropathologically confirmed AD was diagnosed using Consortium to Establish a Registry for Alzheimer's Disease criteria. In 155 autopsy samples, log transformed linear regression models were used to examine the association of NP and CAA to Abeta 42 levels, controlling for clinical dementia severity, time between diagnosis and death, age at death, brain weight, hours between death and collection of CSF, education, and APOE genotype. RESULTS: Higher numbers of NP in the neocortex (p trend = 0.001) and in the hippocampus (p trend = 0.03) were strongly associated with lower levels of Abeta 42. Individuals with CAA had lower Abeta 42 levels (beta coefficient = -0.48; 95% CI -0.9, -0.1). Compared to participants with a diagnosis of clinical dementia, those with pathologically confirmed AD had lower Abeta 42 levels (beta coefficient = -0.74; 95% CI -1.4, -0.1). CONCLUSION: The current study suggests that lower Abeta 42 levels reflect neuropathologic processes implicated in amyloid-related pathologies, such as NP and CAA.
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Cites
Mirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., Vogel, F. S., Hughes, J. P., Belle, G. V., Berg, L., et al. (1991) · Neurology · doi:10.1212/wnl.41.4.479 · Cited by 4,961
Reduction of β‐amyloid peptide42 in the cerebrospinal fluid of patients with Alzheimer's disease
Motter, R., Vigo‐Pelfrey, C., Kholodenko, D., Barbour, R., Johnson‐Wood, K., Galasko, D., Chang, L., Miller, B., Clark, C., Green, R., et al. (1995) · Annals of Neurology · doi:10.1002/ana.410380413 · Cited by 701
Andreasen, N., Hesse, C., Davidsson, P., Minthon, L., Wallin, A., Winblad, B., Vanderstichele, H., Vanmechelen, E., & Blennow, K. (1999) · Archives of Neurology · doi:10.1001/archneur.56.6.673 · Cited by 660
Self-citationEvaluation of CSF-tau and CSF-Aβ42 as diagnostic markers for Alzheimer disease in clinical practice
Andreasen, N., Minthon, L., Davidsson, P., Vanmechelen, E., Vanderstichele, H., Winblad, B., & Blennow, K. (2001) · Archives of Neurology · doi:10.1001/archneur.58.3.373 · Cited by 573
Self-citationPrevalence of Dementia in Older Japanese-American Men in Hawaii: The Honolulu-Asia Aging Study
White, L. (1996) · JAMA · doi:10.1001/jama.1996.03540120033030 · Cited by 437
Self-citationCerebral amyloid angiopathy and cognitive function: The HAAS autopsy study
Pfeifer, L. A., White, L. R., Ross, G. W., Petrovitch, H., & Launer, L. J. (2002) · Neurology · doi:10.1212/wnl.58.11.1629 · Cited by 338
Self-citationStandardization of measurement of β-amyloid(1-42)in cerebrospinal fluid and plasma
Vanderstichele, H., Kerschaver, E. V., Hesse, C., Davidsson, P., Buyse, M.-A., Andreasen, N., Minthon, L., Wallin, A., Blennow, K., & Vanmechelen, E. (2000) · Amyloid · doi:10.3109/13506120009146438 · Cited by 301
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Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396
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-citationRevising the definition of Alzheimer's disease: a new lexicon
Dubois, B., Feldman, H. H., Jacova, C., Cummings, J. L., DeKosky, S. T., Barberger-Gateau, P., Delacourte, A., Frisoni, G., Fox, N. C., Galasko, D., et al. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70223-4 · Cited by 1,869
A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Feldman, H. H., Frisoni, G. B., Hampel, H., Jagust, W. J., Johnson, K. A., Knopman, D. S., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002923 · Cited by 1,864
Self-citationCerebrospinal fluid and plasma biomarkers in Alzheimer disease
Blennow, K., Hampel, H., Weiner, M., & Zetterberg, H. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2010.4 · Cited by 1,863
Self-citationMasters, C. L., Bateman, R., Blennow, K., Rowe, C. C., Sperling, R. A., & Cummings, J. L. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.56 · Cited by 1,853
Self-citationCSF markers for incipient Alzheimer's disease
Blennow, K., & Hampel, H. (2003) · The Lancet Neurology · doi:10.1016/s1474-4422(03)00530-1 · Cited by 1,291
Self-citationBiomarker Modeling of Alzheimer’s Disease
Jack, C. R., & Holtzman, D. M. (2013) · Neuron · doi:10.1016/j.neuron.2013.12.003 · Cited by 1,002
Biomarkers for Alzheimer's disease: current status and prospects for the future
Blennow, K., & Zetterberg, H. (2018) · Journal of Internal Medicine · doi:10.1111/joim.12816 · Cited by 1,000
Self-citationTapiola, T., Alafuzoff, I., Herukka, S.-K., Parkkinen, L., Hartikainen, P., Soininen, H., & Pirttilä, T. (2009) · Archives of Neurology · doi:10.1001/archneurol.2008.596 · Cited by 896
Visser, P. J., Verhey, F., Knol, D. L., Scheltens, P., Wahlund, L.-O., Freund-Levi, Y., Tsolaki, M., Minthon, L., Wallin, Å. K., Hampel, H., et al. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70139-5 · Cited by 614
Self-citationBuerger, K., Ewers, M., Pirttila, T., Zinkowski, R., Alafuzoff, I., Teipel, S. J., DeBernardis, J., Kerkman, D., McCulloch, C., Soininen, H., et al. (2006) · Brain · doi:10.1093/brain/awl269 · Cited by 586
Ossenkoppele, R., Pijnenburg, Y. A. L., Perry, D. C., Cohn-Sheehy, B. I., Scheltens, N. M. E., Vogel, J. W., Kramer, J. H., van der Vlies, A. E., Joie, R. L., Rosen, H. J., et al. (2015) · Brain · doi:10.1093/brain/awv191 · Cited by 548
Current state of Alzheimer’s fluid biomarkers
Molinuevo, J. L., Ayton, S., Batrla, R., Bednar, M. M., Bittner, T., Cummings, J., Fagan, A. M., Hampel, H., Mielke, M. M., Mikulskis, A., et al. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1932-x · Cited by 518
Self-citationJack, C. R., Wiste, H. J., Vemuri, P., Weigand, S. D., Senjem, M. L., Zeng, G., Bernstein, M. A., Gunter, J. L., Pankratz, V. S., Aisen, P. S., et al. (2010) · Brain · doi:10.1093/brain/awq277 · Cited by 531
Amyloid biomarkers in Alzheimer's disease
Blennow, K., Mattsson, N., Schöll, M., Hansson, O., & Zetterberg, H. (2015) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2015.03.002 · Cited by 470
Self-citationCSF A β 42/A β 40 and A β 42/A β 38 ratios: better diagnostic markers of Alzheimer disease
Janelidze, S., Zetterberg, H., Mattsson, N., Palmqvist, S., Vanderstichele, H., Lindberg, O., van Westen, D., Stomrud, E., Minthon, L., Blennow, K., et al. (2016) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.274 · Cited by 456
Self-citationLongitudinal Change in CSF Biomarkers in Autosomal-Dominant Alzheimer’s Disease
Fagan, A. M., Xiong, C., Jasielec, M. S., Bateman, R. J., Goate, A. M., Benzinger, T. L. S., Ghetti, B., Martins, R. N., Masters, C. L., Mayeux, R., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3007901 · Cited by 434
Amyloid seeds formed by cellular uptake, concentration, and aggregation of the amyloid-beta peptide
Hu, X., Crick, S. L., Bu, G., Frieden, C., Pappu, R. V., & Lee, J.-M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911281106 · Cited by 426
Comparing positron emission tomography imaging and cerebrospinal fluid measurements of β‐amyloid
Landau, S. M., Lu, M., Joshi, A. D., Pontecorvo, M., Mintun, M. A., Trojanowski, J. Q., Shaw, L. M., Jagust, W. J., & Initiative, F. T. A. D. N. (2013) · Annals of Neurology · doi:10.1002/ana.23908 · Cited by 401
GWAS of Cerebrospinal Fluid Tau Levels Identifies Risk Variants for Alzheimer’s Disease
Cruchaga, C., Kauwe, J. S. K., Harari, O., Jin, S. C., Cai, Y., Karch, C. M., Benitez, B. A., Jeng, A. T., Skorupa, T., Carrell, D., et al. (2013) · Neuron · doi:10.1016/j.neuron.2013.02.026 · Cited by 383
Bittner, T., Zetterberg, H., Teunissen, C. E., Ostlund, R. E., Militello, M., Andreasson, U., Hubeek, I., Gibson, D., Chu, D. C., Eichenlaub, U., et al. (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.09.009 · Cited by 374
APOE2: protective mechanism and therapeutic implications for Alzheimer’s disease
Li, Z., Shue, F., Zhao, N., Shinohara, M., & Bu, G. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00413-4 · Cited by 306
Increased cerebrospinal fluid soluble TREM2 concentration in Alzheimer’s disease
Heslegrave, A., Heywood, W., Paterson, R., Magdalinou, N., Svensson, J., Johansson, P., Öhrfelt, A., Blennow, K., Hardy, J., Schott, J., et al. (2016) · Molecular Neurodegeneration · doi:10.1186/s13024-016-0071-x · Cited by 303
Self-citationHampel, H., Hu, Y., Cummings, J., Mattke, S., Iwatsubo, T., Nakamura, A., Vellas, B., O’Bryant, S., Shaw, L. M., Cho, M., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.05.017 · Cited by 283
Self-citationGrimmer, T., Riemenschneider, M., Förstl, H., Henriksen, G., Klunk, W. E., Mathis, C. A., Shiga, T., Wester, H.-J., Kurz, A., & Drzezga, A. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.01.027 · Cited by 278
Shi, M., Chu, F., Zhu, F., & Zhu, J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.870517 · Cited by 275
Shaw, L. M., Arias, J., Blennow, K., Galasko, D., Molinuevo, J. L., Salloway, S., Schindler, S., Carrillo, M. C., Hendrix, J. A., Ross, A., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.220 · Cited by 266
Self-citationDiagnosis of Alzheimer’s disease utilizing amyloid and tau as fluid biomarkers
Lee, J. C., Kim, S. J., Hong, S., & Kim, Y. (2019) · Experimental & Molecular Medicine · doi:10.1038/s12276-019-0250-2 · Cited by 253
Alzheimer's disease biomarker discovery using SOMAscan multiplexed protein technology
Sattlecker, M., Kiddle, S. J., Newhouse, S., Proitsi, P., Nelson, S., Williams, S., Johnston, C., Killick, R., Simmons, A., Westman, E., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.09.016 · Cited by 223
“Similarly, positron emission tomography imaging of amyloid burden in the brain correlates with clinical diagnosis of AD, Ab neuropathology at autopsy [3,4,6], and CSFAb1-42 levels [7–10] but is equally impractical for use in large groups of frail elderly patients and is restricted to specialist centers.”
Bates, K. A., Verdile, G., Li, Q.-X., Ames, D., Hudson, P., Masters, C. L., & Martins, R. N. (2009) · Molecular Psychiatry · doi:10.1038/mp.2008.96 · Cited by 247
CSF biomarkers for Alzheimer disease correlate with cortical brain biopsy findings
Seppälä, T. T., Nerg, O., Koivisto, A. M., Rummukainen, J., Puli, L., Zetterberg, H., Pyykkö, O. T., Helisalmi, S., Alafuzoff, I., Hiltunen, M., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182563bd0 · Cited by 236
Beta‐amyloid deposition and the aging brain
Rodrigue, K. M., Kennedy, K. M., & Park, D. C. (2009) · Neuropsychology Review · doi:10.1007/s11065-009-9118-x · Cited by 230
Moving fluid biomarkers for Alzheimer’s disease from research tools to routine clinical diagnostics
Zetterberg, H., & Blennow, K. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00430-x · Cited by 219
Self-citationElevated cerebrospinal fluid BACE1 activity in incipient Alzheimer disease
Zetterberg, H., Andreasson, U., Hansson, O., Wu, G., Sankaranarayanan, S., Andersson, M. E., Buchhave, P., Londos, E., Umek, R. M., Minthon, L., et al. (2008) · Archives of Neurology · doi:10.1001/archneur.65.8.1102 · Cited by 224
Low cerebrospinal fluid concentration of mitochondrial DNA in preclinical Alzheimer disease
Podlesniy, P., Figueiro‐Silva, J., Llado, A., Antonell, A., Sanchez‐Valle, R., Alcolea, D., Lleo, A., Molinuevo, J. L., Serra, N., & Trullas, R. (2013) · Annals of Neurology · doi:10.1002/ana.23955 · Cited by 219
CSF biomarkers in frontotemporal lobar degeneration with known pathology
Bian, H., Van Swieten, J. C., Leight, S., Massimo, L., Wood, E., Forman, M., Moore, P., de Koning, I., Clark, C. M., Rosso, S., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000311445.21321.fc · Cited by 216
Goos, J. D. C., Kester, M. I., Barkhof, F., Klein, M., Blankenstein, M. A., Scheltens, P., & van der Flier, W. M. (2009) · Stroke · doi:10.1161/strokeaha.109.558197 · Cited by 213
Cerebrospinal fluid -amyloid 1-42 concentration may predict cognitive decline in older women
Gustafson, D. R., Skoog, I., Rosengren, L., Zetterberg, H., & Blennow, K. (2006) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2006.100529 · Cited by 214
Self-citationFluid Biomarkers in Alzheimer Disease
Blennow, K., Zetterberg, H., & Fagan, A. M. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006221 · Cited by 208
Self-citationAlzheimer disease: new concepts on its neurobiology and the clinical role imaging will play
Jack, C. R. (2012) · Radiology · doi:10.1148/radiol.12110433 · Cited by 211
Characterization of Novel CSF Tau and ptau Biomarkers for Alzheimer’s Disease
Meredith Jr., J. E., Sankaranarayanan, S., Guss, V., Lanzetti, A. J., Berisha, F., Neely, R. J., Slemmon, J. R., Portelius, E., Zetterberg, H., Blennow, K., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076523 · Cited by 209
Self-citationEarly Alzheimer’s disease pathology in human cortex involves transient cell states
Gazestani, V., Kamath, T., Nadaf, N. M., Dougalis, A., Burris, S. J., Rooney, B., Junkkari, A., Vanderburg, C., Pelkonen, A., Gomez-Budia, M., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.005 · Cited by 209
Agreement of amyloid PET and CSF biomarkers for Alzheimer's disease on Lumipulse
Alcolea, D., Pegueroles, J., Muñoz, L., Camacho, V., López‐Mora, D., Fernández‐León, A., Le Bastard, N., Huyck, E., Nadal, A., Olmedo, V., et al. (2019) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.50873 · Cited by 183
Genome-wide association study of the rate of cognitive decline in Alzheimer’s disease
Sherva, R., Tripodis, Y., Bennett, D. A., Chibnik, L. B., Crane, P. K., de Jager, P. L., Farrer, L. A., Saykin, A. J., Shulman, J. M., Naj, A., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.01.008 · Cited by 180
Effect of apolipoprotein E on biomarkers of amyloid load and neuronal pathology in Alzheimer disease
Vemuri, P., Wiste, H. J., Weigand, S. D., Knopman, D. S., Shaw, L. M., Trojanowski, J. Q., Aisen, P. S., Weiner, M., Petersen, R. C., Jack, C. R., et al. (2010) · Annals of Neurology · doi:10.1002/ana.21953 · Cited by 195
Longitudinal stability of CSF biomarkers in Alzheimer's disease
Blennow, K., Zetterberg, H., Minthon, L., Lannfelt, L., Strid, S., Annas, P., Basun, H., & Andreasen, N. (2007) · Neuroscience Letters · doi:10.1016/j.neulet.2007.03.064 · Cited by 193
Self-citationCSF biomarkers for mild cognitive impairment
Blennow, K. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01368.x · Cited by 151
Self-citationBiomarkers used in Alzheimer’s disease diagnosis, treatment, and prevention
Mahaman, Y. A. R., Embaye, K. S., Huang, F., Li, L., Zhu, F., Wang, J.-Z., Liu, R., Feng, J., & Wang, X. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101544 · Cited by 149
Janelidze, S., Pannee, J., Mikulskis, A., Chiao, P., Zetterberg, H., Blennow, K., & Hansson, O. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2017.2814 · Cited by 147
Ashton, N. J., Leuzy, A., Karikari, T. K., Mattsson-Carlgren, N., Dodich, A., Boccardi, M., Corre, J., Drzezga, A., Nordberg, A., Ossenkoppele, R., et al. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05253-y · Cited by 142
Self-citationAlzheimer's disease cerebrospinal fluid biomarker in cognitively normal subjects
Toledo, J. B., Zetterberg, H., van Harten, A. C., Glodzik, L., Martinez-Lage, P., Bocchio-Chiavetto, L., Rami, L., Hansson, O., Sperling, R., Engelborghs, S., et al. (2015) · Brain · doi:10.1093/brain/awv199 · Cited by 136
Self-citationHansson, O., Batrla, R., Brix, B., Carrillo, M. C., Corradini, V., Edelmayer, R. M., Esquivel, R. N., Hall, C., Lawson, J., Bastard, N. L., et al. (2021) · Alzheimer's & Dementia · doi:10.1002/alz.12316 · Cited by 136
Self-citationPeskind, E. R., Li, G., Shofer, J., Quinn, J. F., Kaye, J. A., Clark, C. M., Farlow, M. R., DeCarli, C., Raskind, M. A., Schellenberg, G. D., et al. (2006) · Archives of Neurology · doi:10.1001/archneur.63.7.936 · Cited by 131
Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia
Winchester, L. M., Harshfield, E. L., Shi, L., Badhwar, A., Khleifat, A. A., Clarke, N., Dehsarvi, A., Lengyel, I., Lourida, I., Madan, C. R., et al. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13390 · Cited by 130
Baligács, N., Albertini, G., Borrie, S. C., Serneels, L., Pridans, C., Balusu, S., & De Strooper, B. (2024) · Nature Communications · doi:10.1038/s41467-024-54779-w · Cited by 123
Ewers, M., Zhong, Z., Bürger, K., Wallin, A., Blennow, K., Teipel, S. J., Shen, Y., & Hampel, H. (2008) · Brain · doi:10.1093/brain/awn034 · Cited by 119
Self-citationBinding Sites for Amyloid-β Oligomers and Synaptic Toxicity
Smith, L. M., & Strittmatter, S. M. (2017) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a024075 · Cited by 109
Biomarkers in Sporadic and Familial Alzheimer’s Disease
Lista, S., O’Bryant, S. E., Blennow, K., Dubois, B., Hugon, J., Zetterberg, H., & Hampel, H. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-143006 · Cited by 106
Self-citationWeigand, S. D., Vemuri, P., Wiste, H. J., Senjem, M. L., Pankratz, V. S., Aisen, P. S., Weiner, M. W., Petersen, R. C., Shaw, L. M., Trojanowski, J. Q., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2010.08.230 · Cited by 93
Epilepsy, amyloid-β, and D1 dopamine receptors: a possible pathogenetic link?
Costa, C., Parnetti, L., D'Amelio, M., Tozzi, A., Tantucci, M., Romigi, A., Siliquini, S., Cavallucci, V., Di Filippo, M., Mazzocchetti, P., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.08.025 · Cited by 94
Toledo, J. B., Bjerke, M., Da, X., Landau, S. M., Foster, N. L., Jagust, W., Jack, C., Weiner, M., Davatzikos, C., Shaw, L. M., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.4829 · Cited by 88
Quantitative structural MRI for early detection of Alzheimer's disease
McEvoy, L. K., & Brewer, J. B. (2010) · Expert Review of Neurotherapeutics · doi:10.1586/ern.10.162 · Cited by 90
Kauwe, J. S. K., Jacquart, S., Chakraverty, S., Wang, J., Mayo, K., Fagan, A. M., Holtzman, D. M., Morris, J. C., & Goate, A. M. (2007) · Annals of Neurology · doi:10.1002/ana.21099 · Cited by 84
Emerging β-amyloid pathology and accelerated cortical atrophy
Mattsson, N., Insel, P. S., Nosheny, R., Tosun, D., Trojanowski, J. Q., Shaw, L. M., Jack, C. R., Donohue, M. C., & Weiner, M. W. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.446 · Cited by 71
No correlation between time‐linked plasma and CSF Aβ levels
Le Bastard, N., Aerts, L., Leurs, J., Blomme, W., De Deyn, P. P., & Engelborghs, S. (2009) · Neurochemistry International · doi:10.1016/j.neuint.2009.08.006 · Cited by 59
Increased CSF-BACE1 activity associated with decreased hippocampus volume in Alzheimer’s disease
Ewers, M., Cheng, X., Zhong, Z., Nural, H. F., Walsh, C., Meindl, T., Teipel, S. J., Buerger, K., He, P., Shen, Y., et al. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-091153 · Cited by 58
Fluid biomarkers in Alzheimer's disease
Simrén, J., Elmgren, A., Blennow, K., & Zetterberg, H. (2023) · Advances in Clinical Chemistry · doi:10.1016/bs.acc.2022.09.006 · Cited by 58
Self-citationCSF tau and β-amyloid as biomarkers for mild cognitive impairment
Hampel, H., & Blennow, K. (2004) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2004.6.4/hhampel · Cited by 52
Self-citationCSF Aβ42, Tau and Phosphorylated Tau Correlate with Medial Temporal Lobe Atrophy
Herukka, S.-K., Pennanen, C., Soininen, H., & Pirttilä, T. (2008) · Journal of Alzheimer's Disease · doi:10.3233/jad-2008-14105 · Cited by 47
Associations between white matter lesions, cerebrovascular risk factors, and low CSF Aβ42
Stenset, V., Johnsen, L., Kocot, D., Negaard, A., Skinningsrud, A., Gulbrandsen, P., Wallin, A., & Fladby, T. (2006) · Neurology · doi:10.1212/01.wnl.0000234030.77831.5a · Cited by 44
Diagnostic biomarkers in Alzheimer’s disease
Andersen, E., Casteigne, B., Chapman, W. D., Creed, A., Foster, F., Lapins, A., Shatz, R., & Sawyer, R. P. (2021) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2021.100041 · Cited by 42
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Metadata
- Authors
- Strozyk, D., Blennow, K., White, L. R., & Launer, L. J.
- Venue
- Neurology
- Published
- 2003-02-25
- Volume
- 60
- Issue
- 4
- Pages
- 652-656
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2054007740
- Cited by
- 612
- References
- 7
- FWCI
- 5.43
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.