Concordance between different amyloid immunoassays and visual amyloid positron emission tomographic assessment.
Open accessAbstract
Importance: Visual assessment of amyloid positron emission tomographic (PET) images has been approved by regulatory authorities for clinical use. Several immunoassays have been developed to measure β-amyloid (Aβ) 42 in cerebrospinal fluid (CSF). The agreement between CSF Aβ42 measures from different immunoassays and visual PET readings may influence the use of CSF biomarkers and/or amyloid PET assessment in clinical practice and trials. Objective: To determine the concordance between CSF Aβ42 levels measured using 5 different immunoassays and visual amyloid PET analysis. Design, Setting, and Participants: The study included 262 patients with mild cognitive impairment or subjective cognitive decline from the Swedish BioFINDER (Biomarkers for Identifying Neurodegenerative Disorders Early and Reliably) cohort (recruited from September 1, 2010, through December 31, 2014) who had undergone flutemetamol F 18 ([18F]flutemetamol)-labeled PET. Levels of CSF Aβ42 were analyzed using the classic INNOTEST and the newer modified INNOTEST, fully automated Lumipulse (FL), EUROIMMUN (EI), and Meso Scale Discovery (MSD) assays. Concentrations of CSF Aβ were assessed using an antibody-independent mass spectrometry-based reference measurement procedure. Main Outcomes and Measures: The concordance of CSF Aβ42 levels and Aβ42:Aβ40 and Aβ42:tau ratios with visual [18F]flutemetamol PET status. Results: Of 262 participants (mean [SD] age, 70.9 [5.5] years), 108 were women (41.2%) and 154 were men (58.8%). The mass spectrometry-derived Aβ42 values showed higher correlations with the modified Aβ42-INNOTEST (r = 0.97), Aβ42-FL (r = 0.93), Aβ42-EI (r = 0.93), and Aβ42-MSD (r = 0.95) assays compared with the classic Aβ42-INNOTEST assay (r = 0.88; P ≤ .01). The signal in the classic Aβ42-INNOTEST assay was partly quenched by recombinant Aβ1-40 peptide. However, the classic Aβ42-INNOTEST assay showed better concordance with visual [18F]flutemetamol PET status (area under the receiver operating characteristic curve [AUC], 0.92) compared with the newer assays (AUCs, 0.87-0.89; P ≤ .01). The accuracies of the newer assays improved significantly when Aβ42:Aβ40 (AUCs, 0.93-0.95; P ≤ .01), Aβ42 to total tau (T-tau) (AUCs, 0.94; P ≤ .05), or Aβ42 to phosphorylated tau (P-tau) (AUCs, 0.94-0.95; P ≤ .001) ratios were used. A combination of the Aβ42:Aβ40 ratio and T-tau or P-tau level did not improve the accuracy compared with the ratio alone. Conclusions and Relevance: Concentrations of CSF Aβ42 derived from the new immunoassays (modified INNOTEST, FL, EI, and MSD) may correlate better with the antibody-independent mass spectrometry-based reference measurement procedure and may show improved agreement with visual [18F]flutemetamol PET assessment when using the Aβ42:Aβ40 or Aβ42:tau ratios. These findings suggest the benefit of implementing the CSF Aβ42:Aβ40 or Aβ42:tau ratios as a biomarker of amyloid deposition in clinical practice and trials.
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Fully automated immunoassays have been developed by several different vendors with improved reliability and precision for CSF Aβ and tau species.
“Recently, fully automated immunoassays have been developed by several different vendors with improved reliability and precision for CSF Aβ and tau species.23,24,25”
From Performance of Fully Automated Plasma Assays as Screening Tests for Alzheimer Disease–Related β-Amyloid Status (2019) · cites this paper as [25]
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pROC: an open-source package for R and S+ to analyze and compare ROC curves
Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F., Sanchez, J.-C., & Müller, M. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-77 · Cited by 13,697 · see citing works
Practical Statistics for Medical Research
Altman, D. G. (1990) · doi:10.1201/9780429258589 · Cited by 10,668 · see citing works
Practical Statistics for Medical Research.
Bartko, J. J., & Altman, D. G. (1992) · Journal of the American Statistical Association · doi:10.2307/2290246 · Cited by 4,834 · see citing works
Comparing correlated correlation coefficients
Meng, X.-L., Rosenthal, R., & Rubin, D. B. (1992) · Psychological Bulletin · doi:10.1037/0033-2909.111.1.172 · Cited by 2,472 · see citing works
Cerebrospinal 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 · see citing works
Self-citationmixtools : An R Package for Analyzing Finite Mixture Models
Benaglia, T., Chauveau, D., Hunter, D. R., & Young, D. S. (2009) · Journal of Statistical Software · doi:10.18637/jss.v032.i06 · Cited by 1,351 · see citing works
Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease
Ikonomovic, M. D., Klunk, W. E., Abrahamson, E. E., Mathis, C. A., Price, J. C., Tsopelas, N. D., Lopresti, B. J., Ziolko, S., Bi, W., Paljug, W. R., et al. (2008) · Brain · doi:10.1093/brain/awn016 · Cited by 933 · see citing works
Tapiola, 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 · see citing works
Clark, C. M., Pontecorvo, M. J., Beach, T. G., Bedell, B. J., Coleman, R. E., Doraiswamy, P. M., Fleisher, A. S., Reiman, E. M., Sabbagh, M. N., Sadowsky, C. H., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70142-4 · Cited by 855 · see citing works
Buchhave, P. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.155 · Cited by 664 · see citing works
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 · see citing works
Self-citationCSF Aβ 42 levels correlate with amyloid-neuropathology in a population-based autopsy study
Strozyk, D., Blennow, K., White, L. R., & Launer, L. J. (2003) · Neurology · doi:10.1212/01.wnl.0000046581.81650.d0 · Cited by 604 · see citing works
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 · see citing works
Diagnosis-Independent Alzheimer Disease Biomarker Signature in Cognitively Normal Elderly People
De Meyer, G. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.179 · Cited by 462 · see citing works
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 · see citing works
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 · see citing works
Detailed comparison of amyloid PET and CSF biomarkers for identifying early Alzheimer disease
Palmqvist, S., Zetterberg, H., Mattsson, N., Johansson, P., Initiative, F. T. A. D. N., Minthon, L., Blennow, K., Olsson, M., For the Swedish BioFINDER study group, Hansson, O., et al. (2015) · Neurology · doi:10.1212/wnl.0000000000001991 · Cited by 375 · see citing works
Self-citationBittner, 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 · see citing works
Palmqvist, S., Zetterberg, H., Blennow, K., Vestberg, S., Andreasson, U., Brooks, D. J., Owenius, R., Hägerström, D., Wollmer, P., Minthon, L., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.1358 · Cited by 368 · see citing works
Self-citationMattsson, N., Insel, P. S., Donohue, M., Landau, S., Jagust, W. J., Shaw, L. M., Trojanowski, J. Q., Zetterberg, H., Blennow, K., & Weiner, M. W. (2015) · Brain · doi:10.1093/brain/awu367 · Cited by 237 · see citing works
Leinenbach, A., Pannee, J., Dülffer, T., Huber, A., Bittner, T., Andréasson, U., Gobom, J., Zetterberg, H., Kobold, U., Portelius, E., et al. (2014) · Clinical Chemistry · doi:10.1373/clinchem.2013.220392 · Cited by 158 · see citing works
Wolk, D. A. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.153 · Cited by 156 · see citing works
Hertze, J., Minthon, L., Zetterberg, H., Vanmechelen, E., Blennow, K., & Hansson, O. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-100207 · Cited by 132 · see citing works
Leuzy, A., Chiotis, K., Hasselbalch, S. G., Rinne, J. O., de Mendonça, A., Otto, M., Lleó, A., Castelo-Branco, M. S., Santana, I. J., Johansson, J. J., et al. (2016) · Brain · doi:10.1093/brain/aww160 · Cited by 132 · see citing works
Pannee, J., Portelius, E., Minthon, L., Gobom, J., Andréasson, U., Zetterberg, H., Hansson, O., & Blennow, K. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13838 · Cited by 84 · see citing works
Schreiber, S., Landau, S., Fero, A., Schreiber, F., & Jagust, W. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.1633 · Cited by 83 · see citing works
Vanderstichele, H., Janelidze, S., Demeyer, L., Coart, E., Stoops, E., Herbst, V., Mauroo, K., Brix, B., & Hansson, O. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160286 · Cited by 80 · see citing works
Bastard, N. L., Deyn, P. P. D., & Engelborghs, S. (2015) · Clinical Chemistry · doi:10.1373/clinchem.2014.236679 · Cited by 69 · see citing works
Identification of an important potential confound in CSF AD studies: aliquot volume
Toombs, J., Paterson, R. W., Lunn, M. P., Nicholas, J. M., Fox, N. C., Chapman, M. D., Schott, J. M., & Zetterberg, H. (2013) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2013-0293 · Cited by 43 · see citing works
Cullen, V., Fredenburg, R. A., Evans, C. L., Conliffe, P. R., & Solomon, M. E. (2012) · The AAPS Journal · doi:10.1208/s12248-012-9360-7 · Cited by 39 · see citing works
Pan, C., Korff, A., Galasko, D. R., Ginghină, C., Peskind, E. R., Li, G., Quinn, J. F., Montine, T. J., Cain, K. C., Shi, M. Y., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-143099 · Cited by 36 · see citing works
Zwan, M. D., Ossenkoppele, R., Tolboom, N., Beunders, A. J. M., Kloet, R. W., Adriaanse, S. M., Boellaard, R., Windhorst, A. D., Raijmakers, P. G. H. M., Adams, H., et al. (2014) · Journal of Nuclear Medicine · doi:10.2967/jnumed.114.139121 · Cited by 31 · see citing works
Wang, M. J., Yi, S., Han, J.-Y., Park, Y. H., Jang, J., Chun, I. K., Giau, V. V., Bagyinszky, E., Lim, K., Kang, S. M., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160143 · Cited by 26 · see citing works
The impact of Tween 20 on repeatability of amyloid β and tau measurements in cerebrospinal fluid
Toombs, J., Paterson, R. W., Nicholas, J. M., Petzold, A., Schott, J. M., & Zetterberg, H. (2015) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2015-0414 · Cited by 4 · see citing works
Vandijck, M. L. J., Moonen, R., Andréasson, U., Bastard, N. L., Dauwe, M., Blennow, K., & Kostanjevečki, V. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.06.314 · Cited by 2 · see citing works
Flagged first, then by citations
1 of the 36 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Janelidze S, Zetterberg H, Mattsson N, et al; Swedish BioFINDER study group. CSF Aβ42:Aβ40 and Aβ42:Aβ38 ratios: better diagnostic markers of Alzheimer disease. Ann Clin Transl Neurol. 2016;3 (3):154-165.
Cited by
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The Amyloid-β Pathway in Alzheimer’s Disease
Hampel, H., Hardy, J., Blennow, K., Chen, C., Perry, G., Kim, S. H., Villemagne, V. L., Aisen, P., Vendruscolo, M., Iwatsubo, T., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01249-0 · Cited by 1,952 · see citing works
Hansson, O., Lehmann, S., Otto, M., Zetterberg, H., & Lewczuk, P. (2019) · Alzheimer's Research & Therapy · doi:10.1186/s13195-019-0485-0 · Cited by 585 · see citing works
Palmqvist, S., Janelidze, S., Stomrud, E., Zetterberg, H., Karl, J., Zink, K., Bittner, T., Mattsson, N., Eichenlaub, U., Blennow, K., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.1632 · Cited by 435 · see citing works
Cerebrospinal fluid p-tau217 performs better than p-tau181 as a biomarker of Alzheimer's disease
Janelidze, S., Stomrud, E., Smith, R., Palmqvist, S., Mattsson, N., Airey, D. C., Proctor, N. K., Chai, X., Shcherbinin, S., Sims, J. R., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15436-0 · Cited by 450 · see citing works
Palmqvist, S., Insel, P. S., Stomrud, E., Janelidze, S., Zetterberg, H., Brix, B., Eichenlaub, U., Dage, J. L., Chai, X., Blennow, K., et al. (2019) · EMBO Molecular Medicine · doi:10.15252/emmm.201911170 · Cited by 353 · see citing works
The complexity of Alzheimer’s disease: an evolving puzzle
Ferrari, C., & Sorbi, S. (2021) · Physiological Reviews · doi:10.1152/physrev.00015.2020 · Cited by 324 · see citing works
Medial temporal lobe connectivity and its associations with cognition in early Alzheimer’s disease
Berron, D., van Westen, D., Ossenkoppele, R., Strandberg, O. T., & Hansson, O. (2020) · Brain · doi:10.1093/brain/awaa068 · Cited by 298 · see citing works
Cicognola, C., Janelidze, S., Hertze, J., Zetterberg, H., Blennow, K., Mattsson, N., & Hansson, O. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00804-9 · Cited by 309 · see citing works
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 · see citing works
Leuzy, A., Smith, R., Ossenkoppele, R., Santillo, A., Borroni, E., Klein, G., Ohlsson, T., Jögi, J., Palmqvist, S., Mattsson-Carlgren, N., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.0989 · Cited by 222 · see citing works
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 · see citing works
Blennow, K., Shaw, L. M. J., Stomrud, E., Mattsson, N., Toledo, J. B., Buck, K., Wahl, S., Eichenlaub, U., Lifke, V., Simon, M., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-54204-z · Cited by 193 · see citing works
Janelidze, S., Palmqvist, S., Leuzy, A., Stomrud, E., Verberk, I. M. W., Zetterberg, H., Ashton, N. J., Pesini, P., Sarasa, L., Allué, J. A., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12395 · Cited by 188 · see citing works
An accurate fully automated panel of plasma biomarkers for Alzheimer's disease
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Leitão, M. J., Silva‐Spínola, A., Santana, I. J., Olmedo, V., Nadal, A., Bastard, N. L., & Baldeiras, I. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-019-0550-8 · Cited by 164 · see citing works
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Hansson, 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 · see citing works
Cerebrospinal Fluid Biomarkers for Early and Differential Alzheimer’s Disease Diagnosis
Bjerke, M., & Engelborghs, S. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170680 · Cited by 132 · see citing works
Blood-based biomarkers for Alzheimer’s disease—An update
Zetterberg, H. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.10.025 · Cited by 128 · see citing works
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 · see citing works
Baldeiras, I., Santana, I. J., Leitão, M. J., Gens, H., Pascoal, R., Tábuas‐Pereira, M., Beato-Coelho, J., Duro, D., Almeida, M. R., & Oliveira, C. R. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0362-2 · Cited by 118 · see citing works
Alawode, D. O. T., Heslegrave, A., Ashton, N. J., Karikari, T. K., Simrén, J., Montoliu‐Gaya, L., Pannee, J., O’Connor, A., Weston, P. S. J., Lantero‐Rodriguez, J., et al. (2021) · Journal of Internal Medicine · doi:10.1111/joim.13332 · Cited by 100 · see citing works
A brief history of “Alzheimer disease”
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Considerations in the clinical use of amyloid PET and CSF biomarkers for Alzheimer's disease
Leuzy, A., Bollack, A., Pellegrino, D., Teunissen, C. E., Joie, R. L., Rabinovici, G. D., Franzmeier, N., Johnson, K. A., Barkhof, F., Shaw, L. M. J., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14528 · Cited by 97 · see citing works
Grothe, M. J., Moscoso, A., Ashton, N. J., Karikari, T. K., Lantero‐Rodriguez, J., Snellman, A., Zetterberg, H., Blennow, K., Schöll, M., & Initiative, A. D. N. (2021) · Neurology · doi:10.1212/wnl.0000000000012513 · Cited by 96 · see citing works
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Cullen, N. C., Janelidze, S., Mattsson, N., Palmqvist, S., Bittner, T., Suridjan, I., Jethwa, A., Kollmorgen, G., Brum, W. S., Zetterberg, H., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12706 · Cited by 84 · see citing works
Iaccarino, L., Burnham, S. C., Dell’Agnello, G., Dowsett, S. A., & Epelbaum, S. (2023) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2023.43 · Cited by 81 · see citing works
Derivation of cutoffs for the Elecsys® amyloid β (1–42) assay in Alzheimer's disease
Shaw, L. M. J., Waligórska, T., Fields, L., Korecka, M., Figurski, M., Trojanowski, J. Q., Eichenlaub, U., Wahl, S., Quan, M., Pontecorvo, M. J., et al. (2018) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2018.07.002 · Cited by 81 · see citing works
Rabinovici, G. D., Knopman, D. S., Arbizu, J., Benzinger, T. L. S., Donohoe, K. J., Hansson, O., Herscovitch, P., Kuo, P. H., Lingler, J. H., Minoshima, S., et al. (2025) · Journal of Nuclear Medicine · doi:10.2967/jnumed.124.268756 · Cited by 82 · see citing works
Korecka, M., & Shaw, L. M. J. (2021) · Journal of Neurochemistry · doi:10.1111/jnc.15465 · Cited by 79 · see citing works
Guo, T., Korman, D., Joie, R. L., Shaw, L. M. J., Trojanowski, J. Q., Jagust, W. J., Landau, S. M., & Initiative, A. D. N. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00665-8 · Cited by 66 · see citing works
Willemse, E. A. J., Tijms, B. M., van Berckel, B. N. M., Bastard, N. L., van der Flier, W. M., Scheltens, P., & Teunissen, C. E. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12182 · Cited by 62 · see citing works
Lehmann, S., Dumurgier, J., Ayrignac, X., Marelli, C., Alcolea, D. A., Fortea, J., Thouvenot, É., Delaby, C., Hirtz, C., Vialaret, J., et al. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00696-1 · Cited by 62 · see citing works
Stockmann, J., Verberk, I. M. W., Timmesfeld, N., Denz, R., Budde, B., Lange-Leifhelm, J., Scheltens, P., van der Flier, W. M., Nabers, A., Teunissen, C. E., et al. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00738-8 · Cited by 62 · see citing works
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Orellana, A., García‐González, P., Valero, S., Montrreal, L., de Rojas, I., Hernández, I., Rosende‐Roca, M., Vargas, L., Tartari, J. P., Antonio, E. E., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23136891 · Cited by 57 · see citing works
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Ingala, S., Tomassen, J., Collij, L. E., Prent, N., Ent, D. V. ‘., ten Kate, M., Konijnenberg, E., Yaqub, M. M., Scheltens, P., de Geus, E. J. C., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab201 · Cited by 59 · see citing works
Kang, J. H., Korecka, M., Lee, E. B., Cousins, K. A. Q., Tropea, T. F., Chen-Plotkin, A. A., Irwin, D. J., Wolk, D., Brylska, M., Wan, Y., et al. (2023) · Clinical Chemistry · doi:10.1093/clinchem/hvad139 · Cited by 64 · see citing works
Teunissen, C. E., Otto, M., Engelborghs, S., Herukka, S., Lehmann, S., Lewczuk, P., Lleó, A., Perret‐Liaudet, A., Tumani, H., Turner, M. R., et al. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0359-x · Cited by 56 · see citing works
Towards a unified protocol for handling of CSF before β-amyloid measurements
Janelidze, S., Stomrud, E., Brix, B., & Hansson, O. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-019-0517-9 · Cited by 54 · see citing works
Discordant amyloid-β PET and CSF biomarkers and its clinical consequences
de Wilde, A., Reimand, J., Teunissen, C. E., Zwan, M. D., Windhorst, A. D., Boellaard, R., van der Flier, W. M., Scheltens, P., van Berckel, B. N. M., Bouwman, F. H., et al. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-019-0532-x · Cited by 54 · see citing works
Leuzy, A., Rakêt, L. L., Villemagne, V. L., Klein, G., Tonietto, M., Olafson, E., Baker, S. L., Saad, Z. S., Bullich, S., Lopresti, B. J., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13908 · Cited by 51 · see citing works
Association of CSF Aβ, amyloid PET, and cognition in cognitively unimpaired elderly adults
Guo, T., Shaw, L. M. J., Trojanowski, J. Q., Jagust, W. J., Landau, S. M., & Initiative, A. D. N. (2020) · Neurology · doi:10.1212/wnl.0000000000010596 · Cited by 51 · see citing works
Baiardi, S., Abu‐Rumeileh, S., Rossi, M., Zenesini, C., Bartoletti‐Stella, A., Polischi, B., Capellari, S., & Parchi, P. (2018) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.697 · Cited by 53 · see citing works
Keshavan, A., Wellington, H., Chen, Z., Khatun, A., Chapman, M. D., Hart, M., Cash, D. M., Coath, W., Parker, T. D., Buchanan, S. M., et al. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12131 · Cited by 49 · see citing works
Liu, L., Lauro, B. M., He, A., Lee, H., Bhattarai, S., Wolfe, M. S., Bennett, D. A., Karch, C. M. M., Young‐Pearse, T. L., Dominantly Inherited Alzheimer Network (DIAN), et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12646 · Cited by 45 · see citing works
Veerabhadrappa, B., Delaby, C., Hirtz, C., Vialaret, J., Alcolea, D. A., Lleó, A., Fortea, J., Santosh, M. S., Choubey, S., & Lehmann, S. (2019) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2019.1678011 · Cited by 49 · see citing works
CSF Aβ42 and Aβ42/Aβ40 Ratio in Alzheimer’s Disease and Frontotemporal Dementias
Constantinides, V. C., Paraskevas, G. P., Boufidou, F., Bourbouli, M., Pyrgelis, E.-S., Stefanis, L., & Kapaki, E. N. (2023) · Diagnostics · doi:10.3390/diagnostics13040783 · Cited by 47 · see citing works
Müller, E. G., Edwin, T. H., Stokke, C., Navelsaker, S. S., Babovic, A., Bogdanović, N., Knapskog, A., & Revheim, M. E. (2019) · PLoS ONE · doi:10.1371/journal.pone.0221365 · Cited by 47 · see citing works
Dakterzada, F., Ortega, R. L., Arias, A. M., Llena, I. R., Ruiz-Julián, M., Huerto, R. P., Tahan, N., & Piñol‐Ripoll, G. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.604119 · Cited by 47 · see citing works
Salvadó, G., Larsson, V., Cody, K. A., Cullen, N. C., Jonaitis, E. M., Stomrud, E., Kollmorgen, G., Wild, N., Palmqvist, S., Janelidze, S., et al. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.12907 · Cited by 46 · see citing works
Self-citationAgnello, L., Piccoli, T., Vidali, M., Cuffaro, L., Sasso, B. L., Iacolino, G., Giglio, R. V., Lupo, F., Alongi, P., Bivona, G., et al. (2020) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.1080/00365513.2020.1740939 · Cited by 46 · see citing works
A Review of Application of Aβ42/40 Ratio in Diagnosis and Prognosis of Alzheimer’s Disease
Xu, C., Zhao, L., & Dong, C. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220673 · Cited by 44 · see citing works
Yamashita, K., Miura, M., Watanabe, S., Ishiki, K., Arimatsu, Y., Kawahira, J., Kubo, T., Sasaki, K., Arai, T., Hagino, K., et al. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-01029-0 · Cited by 43 · see citing works
Ayton, S., Janelidze, S., Roberts, B. R., Palmqvist, S., Kalinowski, P., Diouf, I., Belaidi, A. A., Stomrud, E., Bush, A. I., & Hansson, O. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101904 · Cited by 42 · see citing works
Association Between Dietary Habits in Midlife With Dementia Incidence Over a 20-Year Period
Glans, I., Sonestedt, E., Nägga, K., Gustavsson, A.-M., González-Padilla, E., Borne, Y., Stomrud, E., Melander, O., Nilsson, P. M., Palmqvist, S., et al. (2023) · Neurology · doi:10.1212/wnl.0000000000201336 · Cited by 40 · see citing works
2023 China Alzheimer’s disease: facts and figures
Xiao, J., Li, J., Wang, J., Zhang, X., Wang, C., Peng, G., Hu, H., Liu, H., Liu, J., Shen, L., et al. (2023) · Human Brain · doi:10.37819/hb.3.1771 · Cited by 40 · see citing works
18F-Flortaucipir in TDP-43 associated frontotemporal dementia
Smith, R., Santillo, A. F., Waldö, M. L., Strandberg, O., Berron, D., Vestberg, S., van Westen, D., van Swieten, J., Honer, M., & Hansson, O. (2019) · Scientific Reports · doi:10.1038/s41598-019-42625-9 · Cited by 33 · see citing works
Paciotti, S., Sepe, F. N., Eusebi, P., Farotti, L., Cataldi, S., Gatticchi, L., & Parnetti, L. (2019) · Clinica Chimica Acta · doi:10.1016/j.cca.2019.03.1612 · Cited by 26 · see citing works
Moon, S., Kim, S., Mankhong, S., Choi, S. H., Vandijck, M. L. J., Kostanjevečki, V., Jeong, J. H., Yoon, S. J., Park, K. W., Kim, E. J., et al. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00767-3 · Cited by 28 · see citing works
Kirsebom, B., Nordengen, K., Selnes, P., Waterloo, K. K., Torsetnes, S. B., Gísladóttir, B., Brix, B., Vanmechelen, E., Bråthen, G., Hessen, E., et al. (2018) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2018.10.003 · Cited by 27 · see citing works
Lindström, E., Oddstig, J., Danfors, T., Jögi, J., Hansson, O., & Lubberink, M. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102386 · Cited by 26 · see citing works
Onset of Preclinical Alzheimer Disease in Monozygotic Twins
Konijnenberg, E., Tomassen, J., den Braber, A., ten Kate, M., Yaqub, M. M., Mulder, S. D., Nivard, M. G., Vanderstichele, H., Lammertsma, A. A., Teunissen, C. E., et al. (2021) · Annals of Neurology · doi:10.1002/ana.26048 · Cited by 25 · see citing works
Korecka, M., Figurski, M., Landau, S. M., Brylska, M., Alexander, J., Blennow, K., Zetterberg, H., Jagust, W., Trojanowski, J. Q., Shaw, L. M. J., et al. (2020) · Clinical Chemistry · doi:10.1093/clinchem/hvaa012 · Cited by 25 · see citing works
Performance of plasma biomarkers for diagnosis and prediction of dementia in a Brazilian cohort
Santos, L. E., Mattos, P., Pinheiro, T., Silva, A., Drummond, C., Sudo, F. K., Barros‐Aragão, F. G. Q., Vanderborght, B., Brandão, C. O., Ferreira, S. T., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-56756-3 · Cited by 27 · see citing works
Keshavan, A., Wellington, H., Chen, Z., Khatun, A., Chapman, M. D., Hart, M., Cash, D. M., Coath, W., Parker, T. D., Buchanan, S. M., et al. (2020) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12097 · Cited by 24 · see citing works
Nilsson, M. H., Tangen, G. G., Palmqvist, S., van Westen, D., Mattsson, N., Stomrud, E., & Hansson, O. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa143 · Cited by 23 · see citing works
Chen, Y.-H., Lin, R.-R., Huang, H.-F., Xue, Y., & Tao, Q. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.848180 · Cited by 22 · see citing works
Aichholzer, F., Klafki, H., Ogorek, I., Vogelgsang, J. S., Wiltfang, J., Scherbaum, N., Weggen, S., & Wirths, O. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00828-1 · Cited by 23 · see citing works
Treatment effects on event-related EEG potentials and oscillations in Alzheimer's disease
Yener, G., Hünerli-Gündüz, D., Yıldırım, E., Aktürk, T., Başar‐Eroğlu, C., Bonanni, L., Percio, C. D., Farina, F. R., Ferri, R., Güntekin, B., et al. (2022) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2022.05.008 · Cited by 21 · see citing works
Brinkmalm, A., Portelius, E., Brinkmalm, G., Pannee, J., Dahlén, R., Gobom, J., Blennow, K., & Zetterberg, H. (2018) · Journal of Neurochemistry · doi:10.1111/jnc.14594 · Cited by 21 · see citing works
DeMarco, M. L., Nguyen, Q., Fok, A., Hsiung, G. R., & van der Gugten, J. G. (2020) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12036 · Cited by 20 · see citing works
The CORCOBIA study: Cut-off points of Alzheimer’s disease CSF biomarkers in a clinical cohort
Puig‐Pijoan, A., García‐Escobar, G., Fernández‐Lebrero, A., Manero-Borràs, R. M., Sánchez‐Benavides, G., Navalpotro‐Gómez, I., Cascales‐Lahoz, D., Suárez‐Calvet, M., Grau‐Rivera, O., Boltes, A., et al. (2022) · Neurología (English Edition) · doi:10.1016/j.nrleng.2022.05.002 · Cited by 19 · see citing works
Amyloid‐β in Alzheimer's disease: Structure, toxicity, distribution, treatment, and prospects
Yu, Y., Yu, S., Battaglia, G., & Tian, X. (2024) · Ibrain · doi:10.1002/ibra.12155 · Cited by 19 · see citing works
Amyloid PET detects the deposition of brain Aβ earlier than CSF fluid biomarkers
Lowe, V. J., Mester, C. T., Lundt, E. S., Lee, J., Ghatamaneni, S., Algeciras‐Schimnich, A., Campbell, M. R., Graff‐Radford, J., Nguyen, A. T., Min, H.-K. P., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14317 · Cited by 19 · see citing works
Protein fibril length in cerebrospinal fluid is increased in Alzheimer’s disease
Nirmalraj, P. N., Schneider, T. R., Lüder, L., & Felbecker, A. (2023) · Communications Biology · doi:10.1038/s42003-023-04606-7 · Cited by 15 · see citing works
Dakterzada, F., Cipriani, R., Ortega, R. L., Arias, A. M., Llena, I. R., Ruiz-Julián, M., Huerto, R. P., Tahan, N., Matute, C., Capetillo‐Zarate, E., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25094594 · Cited by 17 · see citing works
Sandoval, C., Lee, J., Toth, B., Nagaraj, R., Schauer, S. P., Hoffman, J. C., Calderon, E., Kollmorgen, G., Bohorquez, S. M. S., Monteiro, C., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14271 · Cited by 18 · see citing works
Hansson, K., Dahlén, R., Hansson, O., Pernevik, E., Paterson, R. W., Schott, J. M., Magdalinou, N. K., Zetterberg, H., Blennow, K., & Gobom, J. (2019) · Clinical mass spectrometry · doi:10.1016/j.clinms.2019.07.002 · Cited by 15 · see citing works
Bagnato, S., Andriolo, M., Boccagni, C., Santangelo, A., D’Ippolito, M. E., & Galardi, G. (2018) · Brain Injury · doi:10.1080/02699052.2018.1479042 · Cited by 15 · see citing works
Bellomo, G., Cataldi, S., Paciotti, S., Paoletti, F. P., Chiasserini, D., & Parnetti, L. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00689-0 · Cited by 13 · see citing works
Jiang, C., Wang, Q., Xie, S., Chen, Z., Fu, L., Peng, Q., Liang, Y., Guo, H., Guo, T., & Initiative, A. D. N. (2022) · Brain Communications · doi:10.1093/braincomms/fcac084 · Cited by 14 · see citing works
Connectivity as a universal predictor of tau progression in atypical Alzheimer’s disease
de Bruin, H., Groot, C., Barthel, H., Bischof, G. N., Blazhenets, G., Boellaard, R., Boon, B. D. C., Brendel, M., Cash, D. M., Coath, W., et al. (2025) · Brain · doi:10.1093/brain/awaf279 · Cited by 11 · see citing works
Motta, C., Donna, M. G. D., Bonomi, C. G., Assogna, M., Chiaravalloti, A., Mercuri, N. B., Koch, G., & Martorana, A. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01291-w · Cited by 11 · see citing works
Biological effects of sodium phenylbutyrate and taurursodiol in Alzheimer's disease
Arnold, S. E., Hendrix, S. B., Nicodemus‐Johnson, J., Knowlton, N., Williams, V. J., Burns, J. M., Crane, M. K., McManus, A. J., Vaishnavi, S., Arvanitakis, Z., et al. (2024) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12487 · Cited by 10 · see citing works
Preclinical Alzheimer’s Disease: Implications for Refinement of the Concept
Vos, S. J. B., & Visser, P. J. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-179943 · Cited by 10 · see citing works
Association of plasma β-amyloid 40 and 42 concentration with type 2 diabetes among Chinese adults
Peng, X., Xu, Z., Mo, X., Guo, Q., Yin, J., Xu, M., Peng, Z., Sun, T., Zhou, L., Peng, X., et al. (2020) · Diabetologia · doi:10.1007/s00125-020-05102-x · Cited by 9 · see citing works
Zou, Y., Yu, S., Ma, X., Ma, C., Mao, C., Mu, D., Li, L., Gao, J., & Qiu, L. (2022) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2022.11.013 · Cited by 9 · see citing works
Chun, M. Y., Jang, H., Kim, H. J., Kim, J. P., Gallacher, J., Allué, J. A., Sarasa, L., Castillo, S., Pascual‐Lucas, M., Na, D. L., et al. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1126799 · Cited by 9 · see citing works
Tippett, L. J., Cawston, E. E., Morgan, C., Melzer, T. R., Brickell, K. L., Ilse, C., Cheung, G., Kirk, I. J., Roberts, R. P., Govender, J., et al. (2022) · Journal of the Royal Society of New Zealand · doi:10.1080/03036758.2022.2098780 · Cited by 8 · see citing works
Pavlik, V. N., for the CONCORD-AD investigators, Burnham, S. C., Kass, J. S., Helmer, C., Palmqvist, S., Vassilaki, M., Dartigues, J., Hansson, O., Masters, C. L., et al. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210525 · Cited by 8 · see citing works
Use of Alzheimer’s Disease Cerebrospinal Fluid Biomarkers in A Tertiary Care Memory Clinic
Stiffel, M., Bergeron, D., Amari, K. M., Poulin, É., Roberge, X., Meilleur‐Durand, S., Sellami, L., Molin, P., Nadeau, Y., Fortin, M., et al. (2021) · Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · doi:10.1017/cjn.2021.67 · Cited by 8 · see citing works
Cholinesterase inhibitor use in amyloid PET-negative mild cognitive impairment and cognitive changes
Pyun, J., Park, Y. H., Kang, M. J., & Kim, S. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01580-y · Cited by 6 · see citing works
Puig‐Pijoan, A., García‐Escobar, G., Fernández‐Lebrero, A., Borràs, R. M. M., Sánchez‐Benavides, G., Navalpotro‐Gómez, I., Cascales‐Lahoz, D., Suárez‐Calvet, M., Grau‐Rivera, O., Boltes, A., et al. (2022) · Neurología · doi:10.1016/j.nrl.2022.05.005 · Cited by 6 · see citing works
Zetterberg, H., Apostolova, L. G., & Snyder, P. J. (2019) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2019.10.001 · Cited by 6 · see citing works
Petersen, R. C., Graf, A., Brady, C., Santi, S. D., Florian, H., Landen, J. W., Pontecorvo, M., RANDOLPH, C. C., Sink, K. M., Carrillo, M. C., et al. (2023) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12434 · Cited by 4 · see citing works
Pyun, J., Park, Y. H., Youn, Y. C., Kang, M. J., Shim, K. H., Jang, J., You, J., Nho, K. T., Kim, S., Initiative, T. A. D. N., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02766-6 · Cited by 7 · see citing works
- Authors
- Janelidze, S., Pannee, J., Mikulskis, A., Chiao, P., Zetterberg, H., Blennow, K., & Hansson, O.
- Affiliations
- Lund University (SE)
- University of Gothenburg (SE)
- Biogen (United States) (US)
- Sahlgrenska University Hospital (SE)
- Corresponding author
- Janelidze, Shorena
- Venue
- JAMA Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2017-12-01
- Volume
- 74
- Issue
- 12
- Pages
- 1492
- ISSN
- 2168-6149 (ISSN-L)
- PMC
- PMC5822196
- OpenAlex
- W2767595531
- Cited by
- 147
- References
- 36
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 19 · 2023: 13 · 2022: 19 · 2021: 24 · 2020: 23 · 2019: 15 · 2018: 12
- FWCI
- 11.24
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA Neurology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- Australian Government
- Vetenskapsrådet
- Fujirebio Europe
- Marcus och Amalia Wallenbergs minnesfond
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
- Keywords
- amyloid PET, amyloid-beta 42, cerebrospinal fluid biomarkers, 18F-flutemetamol, Meso Scale Discovery, Aβ42/Aβ40 ratio, mild cognitive impairment
- MeSH terms
- Aged, Amyloid, Aniline Compounds, Cerebral Cortex, Female, Humans, Immunoassay, Male, Peptide Fragments, ROC Curve, Sweden, Cohort Studies, Amyloid beta-Peptides, tau Proteins, Radiopharmaceuticals, Area Under Curve, Positron-Emission Tomography, Benzothiazoles, Cognitive Dysfunction
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