The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Plasma amyloid β 42/40 ratios as biomarkers for amyloid β cerebral deposition in cognitively normal individuals
Open accessAbstract
Introduction: Plasma amyloid β (Aβ) peptides have been previously studied as candidate biomarkers to increase recruitment efficiency in secondary prevention clinical trials for Alzheimer's disease. Methods: Free and total Aβ42/40 plasma ratios (FP42/40 and TP42/40, respectively) were determined using ABtest assays in cognitively normal subjects from the Australian Imaging, Biomarker and Lifestyle Flagship Study. This population was followed‐up for 72 months and their cortical Aβ burden was assessed with positron emission tomography. Results: Cross‐sectional and longitudinal analyses showed an inverse association of Aβ42/40 plasma ratios and cortical Aβ burden. Optimized as a screening tool, TP42/40 reached 81% positive predictive value of high cortical Aβ burden, which represents 110% increase over the population prevalence of cortical Aβ positivity. Discussion: These findings support the use of plasma Aβ42/40 ratios as surrogate biomarkers of cortical Aβ deposition and enrichment tools, reducing the number of subjects submitted to invasive tests and, consequently, recruitment costs in clinical trials targeting cognitively normal individuals.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Blood biomarkers for the presymptomatic phase of Alzheimer’s disease are largely lacking, although recent progress in the analysis of amyloid-β, tau, and neurofilament light chain (NfL) in the blood have been reported5–10.”
From Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease (2019) · cites this paper as [5]
In the citing paper
“Although previous studies have found associations between CSF and PET Aβ and plasma Aβ using different immunoassays,7,12,13,14,44,45 the present Elecsys assays produced among the best accuracies and they are the first fully automated assays to have these greater accuracies.”
From Performance of Fully Automated Plasma Assays as Screening Tests for Alzheimer Disease–Related β-Amyloid Status (2019) · cites this paper as [12]
In the citing paper
“Many candidate blood biomarkers have failed in replication studies,7,8 but somewhat promising results have been seen for plasma tau, neurofilament light chain (NFL), and combinations of Aβ42 and Aβ40.9,10,11,12,13,14,15,16,17”
From Performance of Fully Automated Plasma Assays as Screening Tests for Alzheimer Disease–Related β-Amyloid Status (2019) · cites this paper as [12]
In the citing paper
“more recent studies have demonstrated that it correlates with brain Aβ and can differentiate patients with AD from healthy control participants.12,13”
From Performance of Fully Automated Plasma Assays as Screening Tests for Alzheimer Disease–Related β-Amyloid Status (2019) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
2016 Alzheimer's disease facts and figures
Alzheimer's Association (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.03.001 · Cited by 5,069
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
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
Villemagne, V. L., Burnham, S., Bourgeat, P., Brown, B., Ellis, K. A., Salvado, O., Szoeke, C., Macaulay, S. L., Martins, R., Maruff, P., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70044-9 · Cited by 2,279
Self-citationTwo Phase 3 Trials of Bapineuzumab in Mild-to-Moderate Alzheimer's Disease
Salloway, S., Sperling, R., Fox, N. C., Blennow, K., Klunk, W., Raskind, M., Sabbagh, M., Honig, L. S., Porsteinsson, A. P., Ferris, S., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1304839 · Cited by 1,960
2015 Alzheimer's disease facts and figures
Alzheimer's Association (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.02.003 · Cited by 1,684
Phase 3 Trials of Solanezumab for Mild-to-Moderate Alzheimer's Disease
Doody, R. S., Thomas, R. G., Farlow, M., Iwatsubo, T., Vellas, B., Joffe, S., Kieburtz, K., Raman, R., Sun, X., Aisen, P. S., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1312889 · Cited by 1,668
RAGE mediates amyloid-β peptide transport across the blood-brain barrier and accumulation in brain
Deane, R., Du Yan, S., Submamaryan, R. K., LaRue, B., Jovanovic, S., Hogg, E., Welch, D., Manness, L., Lin, C., Yu, J., et al. (2003) · Nature Medicine · doi:10.1038/nm890 · Cited by 1,426
Beach, T. G., Monsell, S. E., Phillips, L. E., & Kukull, W. (2012) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31824b211b · Cited by 1,103 · cited 1×
“8 [27], which could seriously skew the results of any test and is almost certainly a relevant source of variability between studies.”
Background
Flagged first, then by citations
Cited by
Sorted by citations
2018 Alzheimer's disease facts and figures
Alzheimer's Association (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.001 · Cited by 1,912
Dominantly Inherited Alzheimer Network, Preische, O., Schultz, S. A., Apel, A., Kuhle, J., Kaeser, S. A., Barro, C., Gräber, S., Kuder-Buletta, E., LaFougere, C., et al. (2019) · Nature Medicine · doi:10.1038/s41591-018-0304-3 · Cited by 927
Self-citationCurrent 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
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
de Wolf, F., Ghanbari, M., Licher, S., McRae‐McKee, K., Gras, L. A., Weverling, G. J., Wermeling, P. R., Sedaghat, S., Ikram, M. K., Waziry, R., et al. (2020) · Brain · doi:10.1093/brain/awaa054 · Cited by 325
Metadata
- Authors
- Fandos, N., Pérez‐Grijalba, V., Pesini, P., Olmos, S., Bossa, M., Villemagne, V. L., Doecke, J., Fowler, C., Masters, C. L., Sarasa, M., & AIBL Research Group
- Affiliations
- R&D Department Araclon Biotech Ltd. Zaragoza Spain
- Universidad de Zaragoza (ES)
- The University of Melbourne (AU)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Corresponding author
- Pesini, Pedro
- ORCID
- Venue
- Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
- Publisher
- Wiley
- Published
- 2017-01
- Volume
- 8
- Issue
- 1
- Pages
- 179-187
- ISSN
- 2352-8729 (ISSN-L)
- PMC
- PMC5602863
- OpenAlex
- W2750795037
- Cited by
- 187
- References
- 52
- Citations by year
- 2026: 9 · 2025: 20 · 2024: 22 · 2023: 27 · 2022: 20 · 2021: 32 · 2020: 23 · 2019: 18 · 2018: 16
- FWCI
- 12.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- VUBIR (Vrije Universiteit Brussel) (submittedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Keywords
- amyloid-beta, Alzheimer's disease biomarkers, cognitively normal individuals, clinical trial recruitment, screening tool, positron emission tomography
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 ›
Are you an author, or do you see a problem with this page? Request a review
