Discriminative accuracy of plasma phospho-tau217 for Alzheimer disease vs other neurodegenerative disorders
Open accessAbstract
Importance: There are limitations in current diagnostic testing approaches for Alzheimer disease (AD). Objective: To examine plasma tau phosphorylated at threonine 217 (P-tau217) as a diagnostic biomarker for AD. Design, Setting, and Participants: Three cross-sectional cohorts: an Arizona-based neuropathology cohort (cohort 1), including 34 participants with AD and 47 without AD (dates of enrollment, May 2007-January 2019); the Swedish BioFINDER-2 cohort (cohort 2), including cognitively unimpaired participants (n = 301) and clinically diagnosed patients with mild cognitive impairment (MCI) (n = 178), AD dementia (n = 121), and other neurodegenerative diseases (n = 99) (April 2017-September 2019); and a Colombian autosomal-dominant AD kindred (cohort 3), including 365 PSEN1 E280A mutation carriers and 257 mutation noncarriers (December 2013-February 2017). Exposures: Plasma P-tau217. Main Outcomes and Measures: Primary outcome was the discriminative accuracy of plasma P-tau217 for AD (clinical or neuropathological diagnosis). Secondary outcome was the association with tau pathology (determined using neuropathology or positron emission tomography [PET]). Results: Mean age was 83.5 (SD, 8.5) years in cohort 1, 69.1 (SD, 10.3) years in cohort 2, and 35.8 (SD, 10.7) years in cohort 3; 38% were women in cohort 1, 51% in cohort 2, and 57% in cohort 3. In cohort 1, antemortem plasma P-tau217 differentiated neuropathologically defined AD from non-AD (area under the curve [AUC], 0.89 [95% CI, 0.81-0.97]) with significantly higher accuracy than plasma P-tau181 and neurofilament light chain (NfL) (AUC range, 0.50-0.72; P < .05). The discriminative accuracy of plasma P-tau217 in cohort 2 for clinical AD dementia vs other neurodegenerative diseases (AUC, 0.96 [95% CI, 0.93-0.98]) was significantly higher than plasma P-tau181, plasma NfL, and MRI measures (AUC range, 0.50-0.81; P < .001) but not significantly different compared with cerebrospinal fluid (CSF) P-tau217, CSF P-tau181, and tau-PET (AUC range, 0.90-0.99; P > .15). In cohort 3, plasma P-tau217 levels were significantly greater among PSEN1 mutation carriers, compared with noncarriers, from approximately 25 years and older, which is 20 years prior to estimated onset of MCI among mutation carriers. Plasma P-tau217 levels correlated with tau tangles in participants with (Spearman ρ = 0.64; P < .001), but not without (Spearman ρ = 0.15; P = .33), β-amyloid plaques in cohort 1. In cohort 2, plasma P-tau217 discriminated abnormal vs normal tau-PET scans (AUC, 0.93 [95% CI, 0.91-0.96]) with significantly higher accuracy than plasma P-tau181, plasma NfL, CSF P-tau181, CSF Aβ42:Aβ40 ratio, and MRI measures (AUC range, 0.67-0.90; P < .05), but its performance was not significantly different compared with CSF P-tau217 (AUC, 0.96; P = .22). Conclusions and Relevance: Among 1402 participants from 3 selected cohorts, plasma P-tau217 discriminated AD from other neurodegenerative diseases, with significantly higher accuracy than established plasma- and MRI-based biomarkers, and its performance was not significantly different from key CSF- or PET-based measures. Further research is needed to optimize the assay, validate the findings in unselected and diverse populations, and determine its potential role in clinical care.
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Plasma p-tau217 often shows a superior association with temporal lobe tau load compared to other plasma biomarkers, including other p-tau species.
“Nonetheless, plasma p‐tau217 often shows a superior association with temporal lobe tau load compared to other plasma biomarkers (including other p‐tau species), 13 , 25 , 36”
From Machine learning prediction of tau‐PET in Alzheimer's disease using plasma, MRI, and clinical data (2025) · cites this paper as [25]
The Results section (page unavailable in our copy) reports that plasma p-tau217 was most strongly associated with tau-PET signal in temporoparietal regions. It also discriminated abnormal from normal temporal tau-PET scans better than plasma p-tau181 and NfL. Those biomarker comparisons concern classification of tau-PET status, not the strength of association with temporal-lobe tau load, so they do not fully establish the claim as phrased. (LLM, conf=0.82)
Experimental — accuracy not yet measuredPlasma p-tau181, p-tau217, and p-tau231 have good or better accuracy than amyloid CSF Abeta and tau and PET measures of tau and amyloid pathology in discriminating people with amyloid pathology who may have clinical symptoms.
“Plasma p-tau181, p-tau217, and p-tau231 have a good or better accuracy than amyloid CSF Abeta and tau and PET measures of tau and amyloid pathology in discriminating people with amyloid pathology who may have clinical symptoms.(452-454)”
From Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission (2024) · cites this paper as [453]
The Discussion (page not specified) reports that plasma p-tau217 performed comparably to tau-PET for distinguishing AD dementia from other neurodegenerative diseases. The Accuracy section reports that plasma p-tau181 was less accurate than p-tau217, while the CSF Aβ42:Aβ40 ratio was significantly more accurate than plasma p-tau217 for identifying abnormal amyloid-PET scans. The cited passages do not evaluate plasma p-tau231, so they do not support the claim for all three plasma markers. (LLM, conf=0.90)
Experimental — accuracy not yet measuredA standardized method of determining plasma biomarker abnormality was used across centers.
“Abnormality for plasma biomarkers was determined in a standardized manner across all cohorts using z-scores created based on the means and s.d. of cognitively unimpaired individuals without elevated amyloid-β pathology, as previously done in several studies8,62,63.”
From Diagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability (2024) · cites this paper as [8]
The Statistical Analysis section reports that cohort 2 used biomarker cutoffs based on the mean plus 2 standard deviations in amyloid-β-negative controls. It does not report z-scores across all cohorts: cohort 1 had no control sample and instead used a Youden Index cutoff. (LLM, conf=0.88)
Experimental — accuracy not yet measuredAbnormality for plasma biomarkers was determined in a standardized manner across all cohorts using z-scores created based on the means and s.d. of cognitively unimpaired individuals without elevated amyloid-β pathology.
“Abnormality for plasma biomarkers was determined in a standardized manner across all cohorts using z-scores created based on the means and s.d. of cognitively unimpaired individuals without elevated amyloid-β pathology, as previously done in several studies8,62,63.”
From Diagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability (2024) · cites this paper as [8]
The Statistical Analysis section (page unavailable) says cohort 2 used biomarker cutoffs based on the mean plus two standard deviations in Aβ-negative controls. It does not describe using z-scores across all cohorts: cohort 1 had no control sample and instead used cutoffs based on the highest Youden Index. (LLM, conf=0.88)
Experimental — accuracy not yet measuredAmong p-tau variants, p-tau217 has demonstrated the highest accuracy in detecting AD pathology and predicting future cognitive decline.
“Among different p-tau variants, tau phosphorylated at threonine 217 (p-tau217) has demonstrated the highest accuracy in detecting AD pathology and predicting future cognitive decline23,27,29–31.”
From Highly accurate blood test for Alzheimer's disease is similar or superior to clinical cerebrospinal fluid tests (2024) · cites this paper as [23]
The neuropathology-cohort results report that plasma P-tau217 distinguished AD from non-AD more accurately than plasma P-tau181, supporting the claim about detecting AD pathology. The study does not establish that P-tau217 predicts future cognitive decline; its Limitations section says longitudinal analyses are needed. Page numbers are unavailable in our copy. (LLM, conf=0.89)
Experimental — accuracy not yet measured
Plasma levels of p-tau are strongly associated with PET and CSF biomarkers of AD pathology, neuropathological changes associated with AD, and subsequent development of AD dementia.
“Plasma levels of p-tau are strongly associated with PET and CSF biomarkers of AD pathology19–25, neuropathological changes associated with AD20,23,26,27 and the subsequent development of AD dementia20,23,28.”
From Highly accurate blood test for Alzheimer's disease is similar or superior to clinical cerebrospinal fluid tests (2024) · cites this paper as [23]
The Discussion and the BioFINDER-2 results report associations of plasma P-tau217 with tau-PET, Aβ-PET, CSF P-tau217, and AD-related neuropathology (page unavailable in our copy). The paper also finds elevated levels in preclinical AD, but the passages do not establish an association with subsequent development of AD dementia. (LLM, conf=0.87)
Experimental — accuracy not yet measuredDetection of Aβ positivity using mass spectrometry %p-tau217 in cognitively normal cohorts appears better than what has been reported when using plasma p-tau217 immunoassays.
“Detection of Aβ positivity using mass spectrometry %p-tau217 in cognitively normal cohorts appears better than what has been reported when using plasma p-tau217 immunoassays, although this must be confirmed in head-to-head studies22,23,48–50.”
From Highly accurate blood test for Alzheimer's disease is similar or superior to clinical cerebrospinal fluid tests (2024) · cites this paper as [23]
The Plasma and CSF Sampling and Analysis section identifies this paper’s plasma p-tau217 test as an immunoassay. The Results report discrimination of Aβ-PET status in a mixed cohort (AUC 0.87) and of preclinical AD from Aβ-negative controls (AUC 0.90), but do not establish immunoassay accuracy for Aβ positivity alone in a cognitively normal cohort or compare it with mass-spectrometry %p-tau217. (LLM, conf=0.83)
Experimental — accuracy not yet measuredElevated phosphorylated tau concentrations in either CSF or plasma suggest that underlying Alzheimer's disease pathology is likely to be the cause of the frontotemporal dementia clinical syndrome.
“Although total tau and amyloid β concentrations are not sensitive or specific for any of the frontotemporal lobar degeneration proteinopathies, elevated phosphorylated tau concentrations in either CSF or plasma suggest that underlying Alzheimer's disease pathology is likely to be the cause of the frontotemporal dementia clinical syndrome.49,55,56”
From Advances and controversies in frontotemporal dementia: diagnosis, biomarkers, and therapeutic considerations (2022) · cites this paper as [55]
The Discussion reports that plasma P-tau217 was elevated in Alzheimer disease but not in other neurodegenerative diseases, and that its association with tau pathology was seen only when amyloid pathology was evident. The diagnostic-accuracy section includes a frontotemporal dementia/primary progressive aphasia group. However, the paper does not establish that elevated phosphorylated tau in a person with a frontotemporal dementia clinical syndrome means Alzheimer pathology is the likely cause of that syndrome; its direct findings also concern plasma P-tau217, not phosphorylated tau generally in either CSF or plasma. (LLM, conf=0.84)
Experimental — accuracy not yet measuredPlasma phosphorylated tau at residues 181 or 217 has similar diagnostic accuracy to amyloid and tau PET or CSF measures for the differential diagnosis from Alzheimer's disease.
“Plasma measures of phos phorylated tau at residues 181 or 217 have similar diagnostic accuracy to amyloid and tau PET or CSF measures for the differential diagnosis from Alzheimer's disease, and plasma phosphorylated tau measures might eventually supplant these”
From Advances and controversies in frontotemporal dementia: diagnosis, biomarkers, and therapeutic considerations (2022) · cites this paper as [55]
The Discussion (page not provided) says plasma P-tau217 did not perform significantly differently from tau-PET or CSF P-tau measures in distinguishing Alzheimer dementia from other neurodegenerative disorders. It also reports significantly higher diagnostic accuracy for plasma P-tau217 than plasma P-tau181. The paper therefore does not support extending the comparable-accuracy finding to both plasma measures, and it does not establish a comparable differential-diagnosis result against amyloid PET. (LLM, conf=0.90)
Experimental — accuracy not yet measuredBlood measures of p-tau181, p-tau217, p-tau231, GFAP, NfL and Aβ42/40 have been shown to change in preclinical AD and can discriminate this state from CU individuals with non-AD pathological changes.
“Indeed, blood measures of p-tau181, p-tau217, p-tau231, glial fibrillary acid protein (GFAP), neurofilament light (NfL) and Aβ42/40 have been shown to change in preclinical AD and can discriminate this state from CU individuals with non-AD pathological changes1,3,6–13.”
From Plasma p-tau231 and p-tau217 as state markers of amyloid-β pathology in preclinical Alzheimer’s disease (2022) · cites this paper as [1]
In the BioFINDER-2 results (page unavailable), plasma p-tau217 was elevated in preclinical AD and distinguished it from Aβ-negative controls (AUC 0.90). The copy does not establish that those controls were cognitively unimpaired people with non-AD pathological changes, or that all the other listed blood markers made that same distinction. (LLM, conf=0.86)
Experimental — accuracy not yet measuredPlasma measures of p-tau181, p-tau217 and p-tau231 have high diagnostic accuracy in differentiating AD from other neurodegenerative disorders in clinical studies, validated by postmortem neuropathological studies.
“Plasma measures of phosphorylated tau at Thr181 (p-tau181), Thr217 (p-tau217) and Thr231 (p-tau231) have high diagnostic accuracy in differentiating AD from other neurodegenerative disorders in clinical studies1–3, which are validated by postmortem neuropathological studies1,2,4.”
From Plasma p-tau231 and p-tau217 as state markers of amyloid-β pathology in preclinical Alzheimer’s disease (2022) · cites this paper as [1]
The clinical comparison reports that plasma p-tau217 differentiated AD dementia from other neurodegenerative disorders (AUC 0.96), while plasma p-tau181 also showed discrimination (AUC 0.81). The Discussion reports discrimination of neuropathologically defined AD and a postmortem association for p-tau217. This paper does not establish the claim for plasma p-tau231 or provide the same postmortem validation for all three measures. (LLM, conf=0.88)
Experimental — accuracy not yet measuredp-tau217 exhibits larger-fold changes compared with p-tau181 and p-tau231, often achieving high discrimination, with areas under the curve (AUC) exceeding 90%.
“Notably, p-tau217 exhibits larger-fold changes compared with p-tau181 and p-tau231,10 often achieving high discrimination, with areas under the curve (AUC) exceeding 90%.19,23”
From Diagnostic Accuracy of a Plasma Phosphorylated Tau 217 Immunoassay for Alzheimer Disease Pathology (2024) · cites this paper as [19]
Among proposed blood tau biomarkers, p-tau217 has consistently shown high performance in differentiating AD from other neurodegenerative disorders and in detecting AD pathology in patients with mild cognitive impairment.
“Among proposed blood tau biomarkers,18,19,20,21 phosphorylated tau at threonine 217 (p-tau217) has consistently shown high performance in differentiating AD from other neurodegenerative disorders10,22 and in detecting AD pathology in patients with mild cognitive impairment (MCI).22”
From Diagnostic Accuracy of a Plasma Phosphorylated Tau 217 Immunoassay for Alzheimer Disease Pathology (2024) · cites this paper as [19]
Several recent studies have reported that plasma biomarkers have excellent diagnostic accuracy for AD, with sensitivity or specificity often exceeding 90%.
“Several recent studies have reported that plasma biomarkers have excellent diagnostic accuracy for AD, with sensitivity or specificity often exceeding 90% (refs. 4–10).”
From Diagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability (2024) · cites this paper as [8]
In some instances, the performance of plasma p-tau biomarkers is comparable or only marginally inferior to established CSF or PET examinations of Aβ and tau pathologies.
“In some instances1, the performance of plasma p-tau biomarkers is comparable or only marginally inferior to established cerebrospinal fluid (CSF) or PET examinations of Aβ and tau pathologies, but with the advantage of greater availability and tolerability for both clinicians and patients.”
From Plasma p-tau231 and p-tau217 as state markers of amyloid-β pathology in preclinical Alzheimer’s disease (2022) · cites this paper as [1]
Total tau and amyloid β concentrations are not sensitive or specific for any of the frontotemporal lobar degeneration proteinopathies.
“Although total tau and amyloid β concentrations are not sensitive or specific for any of the frontotemporal lobar degeneration proteinopathies, elevated phosphorylated tau concentrations in either CSF or plasma suggest that underlying Alzheimer's disease pathology is likely to be the cause of the frontotemporal dementia clinical syndrome.49,55,56”
From Advances and controversies in frontotemporal dementia: diagnosis, biomarkers, and therapeutic considerations (2022) · cites this paper as [55]
The Discussion (page unavailable) compares plasma phosphorylated tau with total tau for detecting Alzheimer disease, but does not assess whether total tau or amyloid-β concentrations identify frontotemporal lobar degeneration proteinopathies. Searches for that specific sensitivity-and-specificity claim found no passage addressing it. (LLM, conf=0.72)
Experimental — accuracy not yet measuredPlasma p-tau-181 and plasma p-tau 217 may be useful in trials to assess impact on tau pathology of trial participants.
“Plasma p‐tau‐181 and plasma p‐tau 217 are elevated as AD advances and may be useful in trials to assess impact on tau pathology of trial participants. 28 , 29”
From Alzheimer’s disease drug development pipeline: 2021 (2021) · cites this paper as [29]
Plasma p-tau-181 and plasma p-tau 217 are elevated as AD advances.
“Plasma p‐tau‐181 and plasma p‐tau 217 are elevated as AD advances and may be useful in trials to assess impact on tau pathology of trial participants. 28 , 29”
From Alzheimer’s disease drug development pipeline: 2021 (2021) · cites this paper as [29]
Plasma biomarkers for amyloid β and tau pathology are promising but require further standardisation and validation before they can be broadly regarded as secure evidence of Alzheimer's disease pathology (amyloid-positive and tau-positive).
“Although promising, plasma biomarkers require further standardisation and validation before they can be broadly regarded as secure evidence of Alzheimer’s disease pathology (amyloid-positive and tau-positive).71,105”
From Clinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group (2021) · cites this paper as [71]
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Cites
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649 · see citing works
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
Self-citationMirra, 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 · see citing works
Overdependence on degraded gist memory in Alzheimer's disease.
Gallo, D. A., Shahid, K. R., Olson, M. A., Solomon, T. M., Schacter, D. L., & Budson, A. E. (2006) · Neuropsychology · doi:10.1037/0894-4105.20.6.625 · Cited by 4,756 · see citing works
Moms, J. C., Heyman, A., Mohs, R. C., Hughes, J. P., van Belle, G., Fillenbaum, G., Mellits, E. D., & Clark, C. (1989) · Neurology · doi:10.1212/wnl.39.9.1159 · Cited by 4,130 · see citing works
Forecasting the global burden of Alzheimer's disease
Brookmeyer, R., Johnson, E., Ziegler‐Graham, K., & Arrighi, H. M. (2007) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2007.04.381 · Cited by 3,370 · see citing works
The antibody aducanumab reduces Aβ plaques in Alzheimer’s disease
Sevigny, J., Chiao, P., Bussière, T., Weinreb, P. H., Williams, L., Maier, M., Dunstan, R., Salloway, S., Chen, T., Ling, Y., et al. (2016) · Nature · doi:10.1038/nature19323 · Cited by 3,059 · see citing works
HYMAN, B. T., & TROJANOWSKI, J. Q. (1997) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/00005072-199710000-00002 · Cited by 1,542 · see citing works
DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS, FIFTH EDITION
Abbas, A., & Aminoroaia, M. (2013) · Cited by 1,458 · see citing works
Janelidze, S., Mattsson, N., Palmqvist, S., Smith, R., Beach, T. G., Serrano, G. E., Chai, X., Proctor, N. K., Eichenlaub, U., Zetterberg, H., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0755-1 · Cited by 1,247 · see citing works
Self-citationCSF Biomarkers and Incipient Alzheimer Disease in Patients With Mild Cognitive Impairment
Mattsson, N. (2009) · JAMA · doi:10.1001/jama.2009.1064 · Cited by 1,176 · see citing works
Self-citationAssociation of plasma neurofilament light with neurodegeneration in patients with Alzheimer disease
Mattsson, N., Andreasson, U., Zetterberg, H., Blennow, K., & Initiative, F. T. A. D. N. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2016.6117 · Cited by 1,070 · see citing works
Self-citationConsensus Recommendations for the Postmortem Diagnosis of Alzheimer’s Disease
(1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00057-2 · Cited by 981 · see citing works
Advancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) investigators, Thijssen, E. H., La Joie, R., Wolf, A., Strom, A., Wang, P., Iaccarino, L., Bourakova, V., Cobigo, Y., Heuer, H., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0762-2 · Cited by 761 · see citing works
Self-citationRabinovici, G. D., Gatsonis, C., Apgar, C., Chaudhary, K., Gareen, I., Hanna, L., Hendrix, J., Hillner, B. E., Olson, C., Lesman-Segev, O. H., et al. (2019) · JAMA · doi:10.1001/jama.2019.2000 · Cited by 674 · see citing works
the Dominantly Inherited Alzheimer Network, Barthélemy, N. R., Li, Y., Joseph-Mathurin, N., Gordon, B. A., Hassenstab, J., Benzinger, T. L. S., Buckles, V., Fagan, A. M., Perrin, R. J., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0781-z · Cited by 651 · see citing works
Mielke, M. M., Hagen, C. E., Xu, J., Chai, X., Vemuri, P., Lowe, V. J., Airey, D. C., Knopman, D. S., Roberts, R. O., Machulda, M. M., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.013 · Cited by 621 · see citing works
Self-citationTau Kinetics in Neurons and the Human Central Nervous System
Sato, C., Barthélemy, N. R., Mawuenyega, K. G., Patterson, B. W., Gordon, B. A., Jockel-Balsarotti, J., Sullivan, M., Crisp, M. J., Kasten, T., Kirmess, K. M., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.02.015 · Cited by 586 · see citing works
Ovod, V., Ramsey, K. N., Mawuenyega, K. G., Bollinger, J. G., Hicks, T., Schneider, T., Sullivan, M., Paumier, K., Holtzman, D. M., Morris, J. C., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.06.2266 · Cited by 585 · see citing works
Plasma tau in Alzheimer disease
Mattsson, N., Zetterberg, H., Janelidze, S., Insel, P. S., Andreasson, U., Stomrud, E., Palmqvist, S., Baker, D., Tan Hehir, C. A., Jeromin, A., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000003246 · Cited by 502 · see citing works
Self-citationOssenkoppele, R., Rabinovici, G. D., Smith, R., Cho, H., Schöll, M., Strandberg, O., Palmqvist, S., Mattsson, N., Janelidze, S., Santillo, A., et al. (2018) · JAMA · doi:10.1001/jama.2018.12917 · Cited by 472 · see citing works
Self-citationBeach, T. G., Adler, C. H., Sue, L. I., Serrano, G., Shill, H. A., Walker, D. G., Lue, L., Roher, A. E., Dugger, B. N., Maarouf, C., et al. (2015) · Neuropathology · doi:10.1111/neup.12189 · Cited by 460 · see citing works
Self-citationCerebrospinal 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
Self-citationPalmqvist, 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
Self-citationPlasma tau levels in Alzheimer's disease
Zetterberg, H., Wilson, D. H., Andréasson, U., Minthon, L., Blennow, K., Randall, J., & Hansson, O. (2013) · Alzheimer s Research & Therapy · doi:10.1186/alzrt163 · Cited by 385 · see citing works
Self-citationMattsson-Carlgren, N., Andersson, E., Janelidze, S., Ossenkoppele, R., Insel, P., Strandberg, O., Zetterberg, H., Rosen, H. J., Rabinovici, G., Chai, X., et al. (2020) · Science Advances · doi:10.1126/sciadv.aaz2387 · Cited by 359 · see citing works
Self-citationPalmqvist, 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
Self-citationDuits, F. H., Martínez‐Lage, P., Paquet, C., Engelborghs, S., Lleó, A., Hausner, L., Molinuevo, J. L., Stomrud, E., Farotti, L., Ramakers, I. H. G. B., et al. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.08.003 · Cited by 260 · see citing works
Self-citationBarthélemy, N. R., Bateman, R. J., Hirtz, C., Marin, P., Becher, F., Sato, C., Gabelle, A., & Lehmann, S. (2020) · Alzheimer's Research & Therapy · doi:10.1186/s13195-020-00596-4 · Cited by 229 · 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
Self-citationQuiroz, Y. T., Sperling, R. A., Norton, D. J., Baena, A., Arboleda-Velasquez, J. F., Cosio, D., Schultz, A., Lapoint, M., Guzman-Velez, E., Miller, J. B., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2017.4907 · Cited by 186 · see citing works
Self-citationGordon, B. A., Blazey, T. M., Christensen, J., Dincer, A., Flores, S., Keefe, S., Chen, C., Su, Y., McDade, E. M., Wang, G., et al. (2019) · Brain · doi:10.1093/brain/awz019 · Cited by 180 · see citing works
Self-citationQuiroz, Y. T., Zetterberg, H., Reiman, E. M., Chen, Y., Su, Y., Fox-Fuller, J. T., Garcia, G., Villegas, A., Sepulveda-Falla, D., Villada, M., et al. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30137-x · Cited by 159 · see citing works
Self-citationCSF Aβ1–42 – an excellent but complicated Alzheimer's biomarker – a route to standardisation
Kuhlmann, J., Andréasson, U., Pannee, J., Bjerke, M., Portelius, E., Leinenbach, A., Bittner, T., Korecka, M., Jenkins, R. G., Vanderstichele, H., et al. (2016) · Clinica Chimica Acta · doi:10.1016/j.cca.2016.05.014 · Cited by 134 · see citing works
Self-citationTariot, P. N., Lopera, F., Langbaum, J. B., Thomas, R. G., Hendrix, S., Schneider, L. S., Rios‐Romenets, S., Giraldo, M., Acosta, N., Tobon, C., et al. (2018) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2018.02.002 · Cited by 128 · see citing works
Self-citationPlasma neurofilament light chain levels in Alzheimer’s disease
Zhou, W., Zhang, J., Ye, F., Xu, G., Su, H., Su, Y., & Zhang, X. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.04.027 · Cited by 95 · see citing works
Self-citationChatterjee, P., Goozee, K. G., Sohrabi, H. R., Shen, K., Shah, T. M., Asih, P. R., Dave, P., ManYan, C., Taddei, K., Chung, R. S., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180025 · Cited by 73 · see citing works
Self-citationPalmqvist, S., Insel, P. S., Zetterberg, H., Blennow, K., Brix, B., Stomrud, E., Initiative, T. A. D. N., study, T. S. B., Mattsson, N., & Hansson, O. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.08.014 · Cited by 65 · see citing works
Self-citationPromising Results in 18-Month Analysis of Alzheimer Drug Candidate
Abbasi, J. (2018) · JAMA · doi:10.1001/jama.2018.13027 · Cited by 22 · see citing works
HIV Preexposure Prophylaxis “Smart Pill” in Early Testing
Abbasi, J. (2018) · JAMA · doi:10.1001/jama.2018.12335 · Cited by 16 · see citing works
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Scheltens, P., De Strooper, B., Kivipelto, M., Holstege, H., Chételat, G., Teunissen, C. E., Cummings, J., & van der Flier, W. M. (2021) · The Lancet · doi:10.1016/s0140-6736(20)32205-4 · Cited by 5,465 · see citing works
Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission
Livingston, G., Huntley, J., Liu, K. Y., Costafreda, S. G., Selbæk, G., Alladi, S., Ames, D., Banerjee, S., Burns, A., Brayne, C., et al. (2024) · The Lancet · doi:10.1016/s0140-6736(24)01296-0 · Cited by 3,860 · see citing works
Knopman, D. S., Amieva, H., Petersen, R. C., Chételat, G., Holtzman, D. M., Hyman, B. T., Nixon, R. A., & Jones, D. T. (2021) · Nature Reviews Disease Primers · doi:10.1038/s41572-021-00269-y · Cited by 2,606 · see citing works
Biomarkers for neurodegenerative diseases
Hansson, O. (2021) · Nature Medicine · doi:10.1038/s41591-021-01382-x · Cited by 1,159 · see citing works
Self-citationClinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group
Dubois, B., Villain, N., Frisoni, G. B., Rabinovici, G. D., Sabbagh, M., Cappa, S., Bejanin, A., Bombois, S., Epelbaum, S., Teichmann, M., et al. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00066-1 · Cited by 1,051 · see citing works
“Although promising, they require further standardization and validation before they can be broadly regarded as secure biomarker evidence of AD pathology (A+T+) 45,81 .”
BackgroundSelf-citationDiagnostic Accuracy of a Plasma Phosphorylated Tau 217 Immunoassay for Alzheimer Disease Pathology
Ashton, N. J., Brum, W. S., Di Molfetta, G., Benedet, A. L., Arslan, B., Jonaitis, E., Langhough, R. E., Cody, K., Wilson, R., Carlsson, C. M., et al. (2024) · JAMA Neurology · doi:10.1001/jamaneurol.2023.5319 · Cited by 884 · see citing works
Self-citationPlasma p-tau231: a new biomarker for incipient Alzheimer’s disease pathology.
Ashton, N. J., Pascoal, T. A., Karikari, T. K., Benedet, A. L., Lantero-Rodriguez, J., Brinkmalm, G., Snellman, A., Schöll, M., Troakes, C., Hye, A., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02275-6 · Cited by 719 · see citing works
Self-citationBenedet, A. L., Milà-Alomà, M., Vrillon, A., Ashton, N. J., Pascoal, T. A., Lussier, F., Karikari, T. K., Hourregue, C., Cognat, E., Dumurgier, J., et al. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2021.3671 · Cited by 638 · see citing works
Self-citationPlasma GFAP is an early marker of amyloid-β but not tau pathology in Alzheimer's disease
Pereira, J. B., Janelidze, S., Smith, R., Mattsson-Carlgren, N., Palmqvist, S., Teunissen, C. E., Zetterberg, H., Stomrud, E., Ashton, N. J., Blennow, K., et al. (2021) · Brain · doi:10.1093/brain/awab223 · Cited by 598 · see citing works
Self-citationThijssen, E. H., La Joie, R., Strom, A., Fonseca, C., Iaccarino, L., Wolf, A., Spina, S., Allen, I. E., Cobigo, Y., Heuer, H., et al. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00214-3 · Cited by 607 · see citing works
Self-citationHansson, O., Edelmayer, R. M., Boxer, A. L., Carrillo, M. C., Mielke, M. M., Rabinovici, G. D., Salloway, S., Sperling, R., Zetterberg, H., & Teunissen, C. E. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12756 · Cited by 607 · see citing works
Self-citationA multicentre validation study of the diagnostic value of plasma neurofilament light.
Ashton, N. J., Janelidze, S., Al Khleifat, A., Leuzy, A., van der Ende, E. L., Karikari, T. K., Benedet, A. L., Pascoal, T. A., Lleó, A., Parnetti, L., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23620-z · Cited by 545 · see citing works
Self-citationTau biomarkers in Alzheimer's disease: towards implementation in clinical practice and trials
Ossenkoppele, R., van der Kant, R., & Hansson, O. (2022) · The Lancet Neurology · doi:10.1016/s1474-4422(22)00168-5 · Cited by 557 · see citing works
Self-citationPalmqvist, S., Tideman, P., Cullen, N., Zetterberg, H., Blennow, K., Initiative, T. A. D. N., Dage, J. L., Stomrud, E., Janelidze, S., Mattsson-Carlgren, N., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01348-z · Cited by 524 · see citing works
Self-citationHead-to-head comparison of 10 plasma phospho-tau assays in prodromal Alzheimer’s disease
Janelidze, S., Bali, D., Ashton, N. J., Barthélemy, N. R., Vanbrabant, J., Stoops, E., Vanmechelen, E., He, Y., Dolado, A. O., Triana-Baltzer, G., et al. (2023) · Brain · doi:10.1093/brain/awac333 · Cited by 522 · see citing works
Self-citationAlzheimer’s disease drug development pipeline: 2021
Cummings, J., Lee, G., Zhong, K., Fonseca, J., & Taghva, K. (2021) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1002/trc2.12179 · Cited by 539 · see citing works
Blood biomarkers for Alzheimer’s disease in clinical practice and trials
Hansson, O., Blennow, K., Zetterberg, H., & Dage, J. (2023) · Nature Aging · doi:10.1038/s43587-023-00403-3 · Cited by 522 · see citing works
Self-citationPerformance of plasma phosphorylated tau 181 and 217 in the community
Mielke, M. M., Dage, J. L., Frank, R. D., Algeciras-Schimnich, A., Knopman, D. S., Lowe, V. J., Bu, G., Vemuri, P., Graff-Radford, J., Jack, C. R., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01822-2 · Cited by 465 · see citing works
Self-citationHead-to-Head Comparison of 8 Plasma Amyloid-β 42/40 Assays in Alzheimer Disease
Janelidze, S., Teunissen, C. E., Zetterberg, H., Allué, J. A., Sarasa, L., Eichenlaub, U., Bittner, T., Ovod, V., Verberk, I. M. W., Toba, K., et al. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2021.3180 · Cited by 494 · see citing works
Self-citationAshton, N. J., Janelidze, S., Mattsson-Carlgren, N., Binette, A. P., Strandberg, O., Brum, W. S., Karikari, T. K., González-Ortiz, F., Di Molfetta, G., Meda, F. J., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-02074-w · Cited by 436 · see citing works
Self-citationBarthélemy, N. R., Salvadó, G., Schindler, S. E., He, Y., Janelidze, S., Collij, L. E., Saef, B., Henson, R. L., Chen, C. D., Gordon, B. A., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-02869-z · Cited by 448 · see citing works
“Plasma levels of p-tau are strongly associated with PET and CSF biomarkers of AD pathology 19–25 , neuropathological changes associated with AD 20,23,26,27 and the subsequent development of AD dementia 20,23,28 .”
BackgroundMethodInfluentialSelf-citationMultimodal deep learning for Alzheimer's disease dementia assessment
Qiu, S., Miller, M. I., Joshi, P. S., Lee, J. C., Xue, C., Ni, Y., Wang, Y., De Anda-Duran, I., Hwang, P. H., Cramer, J. A., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-31037-5 · Cited by 420 · see citing works
Suárez‐Calvet, M., Karikari, T. K., Ashton, N. J., Lantero Rodríguez, J., Milà‐Alomà, M., Gispert, J. D., Salvadó, G., Minguillon, C., Fauria, K., Shekari, M., et al. (2020) · EMBO Molecular Medicine · doi:10.15252/emmm.202012921 · Cited by 401 · see citing works
Self-citationBlood Biomarkers to Detect Alzheimer Disease in Primary Care and Secondary Care
Palmqvist, S., Tideman, P., Mattsson-Carlgren, N., Schindler, S. E., Smith, R., Ossenkoppele, R., Calling, S., West, T., Monane, M., Verghese, P. B., et al. (2024) · JAMA · doi:10.1001/jama.2024.13855 · Cited by 416 · see citing works
Self-citationMilà-Alomà, M., Ashton, N. J., Shekari, M., Salvadó, G., Ortiz-Romero, P., Montoliu-Gaya, L., Benedet, A. L., Karikari, T. K., Lantero-Rodriguez, J., Vanmechelen, E., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01925-w · Cited by 353 · see citing works
Self-citationLiss, J. L., Seleri Assunção, S., Cummings, J., Atri, A., Geldmacher, D. S., Candela, S. F., Devanand, D. P., Fillit, H. M., Susman, J., Mintzer, J., et al. (2021) · Journal of Internal Medicine · doi:10.1111/joim.13244 · Cited by 312 · see citing works
Tauopathies: new perspectives and challenges
Zhang, Y., Wu, K.-M., Yang, L., Dong, Q., & Yu, J.-T. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00533-z · Cited by 323 · see citing works
Mattsson-Carlgren, N., Salvadó, G., Ashton, N. J., Tideman, P., Stomrud, E., Zetterberg, H., Ossenkoppele, R., Betthauser, T. J., Cody, K. A., Jonaitis, E. M., et al. (2023) · JAMA Neurology · doi:10.1001/jamaneurol.2022.5272 · Cited by 309 · see citing works
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 · see citing works
Self-citationSoluble P‐tau217 reflects amyloid and tau pathology and mediates the association of amyloid with tau
Mattsson‐Carlgren, N., Janelidze, S., Bateman, R. J., Smith, R., Stomrud, E., Serrano, G. E., Reiman, E. M., Palmqvist, S., Dage, J. L., Beach, T. G., et al. (2021) · EMBO Molecular Medicine · doi:10.15252/emmm.202114022 · Cited by 261 · see citing works
Self-citationCSF MTBR-tau243 is a specific biomarker of tau tangle pathology in Alzheimer’s disease
Horie, K., Salvadó, G., Barthélemy, N. R., Janelidze, S., Li, Y., He, Y., Saef, B., Chen, C. D., Jiang, H., Strandberg, O., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02443-z · Cited by 249 · see citing works
Self-citationTau: Enabler of diverse brain disorders and target of rapidly evolving therapeutic strategies
Chang, C.-W., Shao, E., & Mucke, L. (2021) · Science · doi:10.1126/science.abb8255 · Cited by 263 · see citing works
Brum, W. S., Cullen, N. C., Janelidze, S., Ashton, N. J., Zimmer, E. R., Therriault, J., Benedet, A. L., Rahmouni, N., Tissot, C., Stevenson, J., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00471-5 · Cited by 248 · see citing works
Self-citationPontecorvo, M. J., Lu, M., Burnham, S. C., Schade, A. E., Dage, J. L., Shcherbinin, S., Collins, E. C., Sims, J. R., & Mintun, M. A. (2022) · JAMA Neurology · doi:10.1001/jamaneurol.2022.3392 · Cited by 261 · see citing works
Self-citationMielke, M. M., Frank, R. D., Dage, J. L., Jeromin, A., Ashton, N. J., Blennow, K., Karikari, T. K., Vanmechelen, E., Zetterberg, H., Algeciras-Schimnich, A., et al. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2021.2293 · Cited by 244 · see citing works
Self-citationPichet Binette, A., Janelidze, S., Cullen, N., Dage, J. L., Bateman, R. J., Zetterberg, H., Blennow, K., Stomrud, E., Mattsson‐Carlgren, N., & Hansson, O. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.12787 · Cited by 226 · see citing works
Self-citationDiagnostic and prognostic plasma biomarkers for preclinical Alzheimer’s disease
Chatterjee, P., Pedrini, S., Ashton, N. J., Tegg, M., Goozee, K., Singh, A. K., Karikari, T. K., Simrén, J., Vanmechelen, E., Armstrong, N. J., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12447 · Cited by 231 · see citing works
Self-citationTime course of phosphorylated-tau181 in blood across the Alzheimer’s disease spectrum
Moscoso, A., Grothe, M. J., Ashton, N. J., Karikari, T. K., Rodriguez, J. L., Snellman, A., Suárez-Calvet, M., Zetterberg, H., Blennow, K., Schöll, M., et al. (2021) · Brain · doi:10.1093/brain/awaa399 · Cited by 229 · see citing works
Self-citationLarge-scale plasma proteomic analysis identifies proteins and pathways associated with dementia risk
Walker, K. A., Chen, J., Zhang, J., Fornage, M., Yang, Y., Zhou, L., Grams, M. E., Tin, A., Daya, N., Hoogeveen, R. C., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00064-0 · Cited by 212 · see citing works
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 · see citing works
Self-citationBoeve, B. F., Boxer, A. L., Kumfor, F., Pijnenburg, Y., & Rohrer, J. D. (2022) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00341-0 · Cited by 218 · see citing works
Specific associations between plasma biomarkers and postmortem amyloid plaque and tau tangle loads
Salvadó, G., Ossenkoppele, R., Ashton, N. J., Beach, T. G., Serrano, G. E., Reiman, E. M., Zetterberg, H., Mattsson‐Carlgren, N., Janelidze, S., Blennow, K., et al. (2023) · EMBO Molecular Medicine · doi:10.15252/emmm.202217123 · Cited by 205 · see citing works
Self-citationDesigning the next-generation clinical care pathway for Alzheimer’s disease
Hampel, H., Au, R., Mattke, S., van der Flier, W. M., Aisen, P., Apostolova, L., Chen, C., Cho, M., De Santi, S., Gao, P., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00269-x · Cited by 191 · see citing works
Accelerating Alzheimer’s therapeutic development: The past and future of clinical trials
Boxer, A. L., & Sperling, R. (2023) · Cell · doi:10.1016/j.cell.2023.09.023 · Cited by 197 · see citing works
Cullen, N. C., Leuzy, A., Palmqvist, S., Janelidze, S., Stomrud, E., Pesini, P., Sarasa, L., Allué, J. A., Proctor, N. K., Zetterberg, H., et al. (2020) · Nature Aging · doi:10.1038/s43587-020-00003-5 · Cited by 187 · see citing works
Self-citationAnti-amyloid antibody therapies in Alzheimer's disease
Perneczky, R., Jessen, F., Grimmer, T., Levin, J., Flöel, A., Peters, O., & Froelich, L. (2023) · Brain · doi:10.1093/brain/awad005 · Cited by 182 · see citing works
Janelidze, S., Barthélemy, N. R., He, Y., Bateman, R. J., & Hansson, O. (2023) · JAMA Neurology · doi:10.1001/jamaneurol.2023.0199 · Cited by 176 · see citing works
Self-citationMattsson-Carlgren, N., Collij, L. E., Stomrud, E., Pichet Binette, A., Ossenkoppele, R., Smith, R., Karlsson, L., Lantero-Rodriguez, J., Snellman, A., Strandberg, O., et al. (2024) · JAMA Neurology · doi:10.1001/jamaneurol.2023.4596 · Cited by 148 · see citing works
Self-citationBrand, A. L., Lawler, P. E., Bollinger, J. G., Li, Y., Schindler, S. E., Li, M., Lopez, S., Ovod, V., Nakamura, A., Shaw, L. M., et al. (2022) · Alzheimer's Research & Therapy · doi:10.1186/s13195-022-01117-1 · Cited by 151 · see citing works
Self-citationBiomarker-Based Prediction of Longitudinal Tau Positron Emission Tomography in Alzheimer Disease
Leuzy, A., Smith, R., Cullen, N. C., Strandberg, O., Vogel, J. W., Binette, A. P., Borroni, E., Janelidze, S., Ohlsson, T., Jögi, J., et al. (2022) · JAMA Neurology · doi:10.1001/jamaneurol.2021.4654 · Cited by 149 · see citing works
Self-citationBarthélemy, N. R., Saef, B., Li, Y., Gordon, B. A., He, Y., Horie, K., Stomrud, E., Salvadó, G., Janelidze, S., Sato, C., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00380-7 · Cited by 153 · see citing works
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 · see citing works
Fluid biomarkers in frontotemporal dementia: past, present and future
Swift, I. J., Sogorb-Esteve, A., Heller, C., Synofzik, M., Otto, M., Graff, C., Galimberti, D., Todd, E., Heslegrave, A. J., van der Ende, E. L., et al. (2021) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-323520 · Cited by 122 · see citing works
Self-citationMontoliu-Gaya, L., Benedet, A. L., Tissot, C., Vrillon, A., Ashton, N. J., Brum, W. S., Lantero-Rodriguez, J., Stevenson, J., Nilsson, J., Sauer, M., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00405-1 · Cited by 122 · see citing works
Self-citationDiagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability
Therriault, J., Janelidze, S., Benedet, A. L., Ashton, N. J., Arranz Martínez, J., Gonzalez-Escalante, A., Bellaver, B., Alcolea, D., Vrillon, A., Karim, H., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00731-y · Cited by 112 · see citing works
“…a number of recent studies demonstrating excellent performance of multiple p-tau217 assays in the differential diagnosis of cognitive impairment 8–10, 29– 32 , its close association with amyloid-β amyloid-β and Currently, anti-amyloid monoclonal antibodies require the confirmation of amyloid-β…”
Self-citationThe informed road map to prevention of Alzheimer Disease: a call to arms
McDade, E., Llibre-Guerra, J. J., Holtzman, D. M., Morris, J. C., & Bateman, R. J. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00467-y · Cited by 89 · see citing works
Perspectives and challenges in patient stratification in Alzheimer’s disease
Abdelnour, C., Agosta, F., Bozzali, M., Fougère, B., Iwata, A., Nilforooshan, R., Takada, L. T., Viñuela, F., & Traber, M. (2022) · Alzheimer's Research & Therapy · doi:10.1186/s13195-022-01055-y · Cited by 108 · see citing works
Gleason, C. E., Zuelsdorff, M., Gooding, D. C., Kind, A. J. H., Johnson, A. L., James, T. T., Lambrou, N. H., Wyman, M. F., Ketchum, F. B., Gee, A., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12511 · Cited by 104 · see citing works
Self-citationPlasma Phospho‐Tau Identifies Alzheimer's Co‐Pathology in Patients with Lewy Body Disease
Hall, S., Janelidze, S., Londos, E., Leuzy, A., Stomrud, E., Dage, J. L., & Hansson, O. (2021) · Movement Disorders · doi:10.1002/mds.28370 · Cited by 80 · see citing works
Self-citationUllah, R., Park, T. J., Huang, X., & Kim, M. O. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101451 · Cited by 78 · see citing works
Diagnostic value of serum versus plasma phospho-tau for Alzheimer’s disease
Kac, P. R., Gonzalez-Ortiz, F., Simrén, J., Dewit, N., Vanmechelen, E., Zetterberg, H., Blennow, K., Ashton, N. J., & Karikari, T. K. (2022) · Alzheimer's Research & Therapy · doi:10.1186/s13195-022-01011-w · Cited by 73 · see citing works
Self-citationAssociations of longitudinal plasma p-tau181 and NfL with tau-PET, Aβ-PET and cognition
Rauchmann, B. S., Schneider-Axmann, T., & Perneczky, R. (2021) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-325537 · Cited by 74 · see citing works
Alzheimer's disease digital biomarkers multidimensional landscape and AI model scoping review
Qi, W., Zhu, X., Wang, B., Shi, Y., Dong, C., Shen, S., Li, J., Zhang, K., He, Y., Zhao, M., et al. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01640-z · Cited by 78 · see citing works
Chhatwal, J. P., Schultz, A. P., Dang, Y., Ostaszewski, B., Liu, L., Yang, H.-S., Johnson, K. A., Sperling, R. A., & Selkoe, D. J. (2020) · Nature Communications · doi:10.1038/s41467-020-19543-w · Cited by 60 · see citing works
Detection of Brain Tau Pathology in Down Syndrome Using Plasma Biomarkers
Janelidze, S., Christian, B. T., Price, J., Laymon, C., Schupf, N., Klunk, W. E., Lott, I., Silverman, W., Rosas, H. D., Zaman, S., et al. (2022) · JAMA Neurology · doi:10.1001/jamaneurol.2022.1740 · Cited by 60 · see citing works
Self-citationAlzheimer disease and the periodontal patient: New insights, connections, and therapies
Ryder, M. I., & Xenoudi, P. (2021) · Periodontology 2000 · doi:10.1111/prd.12389 · Cited by 55 · see citing works
Association of plasma P-tau181 with memory decline in non-demented adults
Therriault, J., Benedet, A. L., Pascoal, T. A., Lussier, F. Z., Tissot, C., Karikari, T. K., Ashton, N. J., Chamoun, M., Bezgin, G., Mathotaarachchi, S., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab136 · Cited by 56 · see citing works
Self-citationSalvadó, 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-citationAsken, B. M., Tanner, J. A., VandeVrede, L., Mantyh, W. G., Casaletto, K. B., Staffaroni, A. M., La Joie, R., Iaccarino, L., Soleimani-Meigooni, D., Rojas, J. C., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200678 · Cited by 40 · see citing works
Phenotyping Alzheimer's disease with blood tests
Blennow, K. (2021) · Science · doi:10.1126/science.abi5208 · Cited by 41 · see citing works
Self-citationMachine learning prediction of tau‐PET in Alzheimer's disease using plasma, MRI, and clinical data
Karlsson, L., Vogel, J., Arvidsson, I., Åström, K., Strandberg, O., Seidlitz, J., Bethlehem, R. A. I., Stomrud, E., Ossenkoppele, R., Ashton, N. J., et al. (2025) · Alzheimer's & Dementia · doi:10.1002/alz.14600 · Cited by 43 · see citing works
Self-citationJiang, Y., Uhm, H., Ip, F. C., Ouyang, L., Lo, R. M. N., Cheng, E. Y. L., Cao, X., Tan, C. M. C., Law, B. C. H., Ortiz‐Romero, P., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13676 · Cited by 36 · see citing works
Self-citationBlood biomarkers in frontotemporal dementia: Review and meta-analysis
Ntymenou, S., Tsantzali, I., Kalamatianos, T., Voumvourakis, K. I., Kapaki, E., Tsivgoulis, G., Stranjalis, G., & Paraskevas, G. P. (2021) · Brain Sciences · doi:10.3390/brainsci11020244 · Cited by 31 · see citing works
Blennow, K., Stomrud, E., Zetterberg, H., Borlinghaus, N., Corradini, V., Manuilova, E., Müller-Hübner, L., Quevenco, F.-C., Rutz, S., & Hansson, O. (2023) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2022-0516 · Cited by 30 · see citing works
Self-citationComorbidities confound Alzheimer’s blood tests
Schindler, S. E., & Karikari, T. K. (2022) · Nature Medicine · doi:10.1038/s41591-022-01875-3 · Cited by 27 · see citing works
Localization, induction, and cellular effects of tau phosphorylated at threonine 217<sup>1</sup>
Rajbanshi, B., Guruacharya, A., Mandell, J. W., & Bloom, G. S. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.12892 · Cited by 20 · see citing works
Devanarayan, V., Charil, A., Horie, K., Doherty, T., Llano, D. A., Andreozzi, E., Sachdev, P., Ye, Y., Murali, L. K., Zhou, J., et al. (2025) · Alzheimer's & Dementia · doi:10.1002/alz.14411 · Cited by 19 · see citing works
Souchet, B., Michaïl, A., Heuillet, M., Dupuy-Gayral, A., Haudebourg, E., Pech, C., Berthemy, A., Autelitano, F., Billoir, B., Domoto-Reilly, K., et al. (2024) · The Journal of Prevention of Alzheimer's Disease · doi:10.14283/jpad.2024.34 · Cited by 15 · see citing works
Deep learning improves utility of tau PET in the study of Alzheimer's disease
Zou, J., Park, D., Johnson, A., Feng, X., Pardo, M., France, J., Tomljanovic, Z., Brickman, A. M., Devanand, D. P., Luchsinger, J. A., et al. (2021) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12264 · Cited by 15 · see citing works
- Authors
- Palmqvist, S., Janelidze, S., Quiroz, Y. T., Zetterberg, H., Lopera, F., Stomrud, E., Su, Y., Chen, Y., Serrano, G. E., Leuzy, A., Mattsson-Carlgren, N., Strandberg, O., Smith, R., Villegas, A., Sepulveda-Falla, D., Chai, X., Proctor, N. K., Beach, T. G., Blennow, K., Dage, J. L., Reiman, E. M., & Hansson, O.
- Affiliations
- Lund University (SE)
- Harvard University (US)
- Sahlgrenska University Hospital (SE)
- Universidad de Antioquia (CO)
- Banner Alzheimer’s Institute (US)
- Banner Sun Health Research Institute (US)
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Grupo de Neurociencias de Antioquia of Universidad de Antioquia, Medellin, Colombia
- Eli Lilly (United States) (US)
- Translational Genomics Research Institute (US)
- Corresponding author
- Hansson, Oskar
- ORCID
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2020-08-25
- Volume
- 324
- Issue
- 8
- Pages
- 772
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC7388060
- OpenAlex
- W3045997188
- Cited by
- 1,603
- References
- 42
- Citations by year
- 2026: 365 · 2025: 352 · 2024: 271 · 2023: 176 · 2022: 208 · 2021: 187 · 2020: 41 · 2015: 1
- FWCI
- 111.82
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Repositorio Digital - Academia Colombiana de Ciencias Exactas, Fisicas y Naturales (submittedVersion, other-oa)
- Funders
- Vetenskapsrådet
- Marcus och Amalia Wallenbergs minnesfond
- National Institute on Aging (P30AG019610)
- National Institute of Neurological Disorders and Stroke (U24NS072026)
- 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 › Neurology › Amyotrophic Lateral Sclerosis Research
- Keywords
- Alzheimer's disease, plasma p-tau217, tau phosphorylation, diagnostic biomarkers, mild cognitive impairment, neurodegenerative diseases, PSEN1 E280A mutation, autosomal dominant Alzheimer's disease, tau PET, neurofilament light chain, p-tau181, differential diagnosis, neuropathology
- MeSH terms
- Adult, Aged, Aged, 80 and over, Alzheimer Disease, Cross-Sectional Studies, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Mutation, Biomarkers, Amyloid beta-Peptides, tau Proteins, Area Under Curve, Neurodegenerative Diseases, Positron-Emission Tomography, Presenilin-1, Plaque, Amyloid
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.
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