Evidence map›Paper›PMID 36789483›Full record

ArticleBrain : a journal of neurology2023

Predicting amyloid PET and tau PET stages with plasma biomarkers.

Clifford R Jack, Heather J Wiste, Alicia Algeciras-Schimnich, Dan J Figdore, Christopher G Schwarz, Val J Lowe, Vijay K Ramanan, Prashanthi Vemuri, Michelle M Mielke, David S Knopman and 8 more

Registry-linked trialAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06773416 (Treating Sleep Apnea to Improve Cognitive Function, Alzheimer's Disease Pathology, and Astrocyte Activation in Older Adults With Cognitive Impairment), which is not on this map. Cited by 102 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06773416 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Treating Sleep Apnea to Improve Cognitive Function, Alzheimer's Disease Pathology, and Astrocyte Activation in Older Adults With Cognitive Impairment: A Multi-Centre Randomized Controlled Trial

TypeinterventionalSponsorSunnybrook Health Sciences CentreRan2025 to 2028Enrolled206ConditionsObstructive Sleep Apnea (OSA), Mild Cognitive Impairment (MCI), Cognitive Decline Prevention in Pre-frail Older AdultsArmsCPAP Therapy Combined with Web-Based Sleep Education for Cognitive and Sleep Health, Delayed CPAP Therapy Combined with Web-Based Sleep Education for Cognitive and Sleep Health
3 · Its place in the literature

Who cites it

102 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Predicting continuous amyloid PET levels with CSF and plasma brain-derived p-tau217.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Non-linear associations between sleep duration and plasma p-tau181 in the Framingham Heart Study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  14. Article
  15. Associations ofAlzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Staging Alzheimer's disease through amyloid and tau PET.Brain : a journal of neurology · 2026
    Article
  20. Neurobiology of aging · 2026
    Article

42 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0001-7916-622X
Heather J WisteDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Alicia Algeciras-SchimnichDepartment of Laboratory Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Dan J FigdoreDepartment of Laboratory Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Christopher G SchwarzDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-1466-8357
Val J LoweDepartment of Nuclear Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Vijay K RamananDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0001-6591-8734
Prashanthi VemuriDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-4286-0589
Michelle M MielkeDepartment of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.ORCID 0000-0001-7177-1185
David S KnopmanDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-6544-066X
Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-2770-0691
Bradley F BoeveDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.
Kejal KantarciDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-8001-2081
Petrice M CogswellDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-8128-4476
Matthew L SenjemDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Jeffrey L GunterDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Terry M TherneauDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Ronald C PetersenDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.

Funding

SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI Walter K. Kremers · 2019 to 2026
$33.5M
PREDICTING ALZHEIMERS DISEASE WITH MAGNETIC RESONANCER01AG011378 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R. · 1993 to 2017
$12.1M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Investigating Resistance and Resilience Mechanisms in Alzheimer’s DiseaseR01AG056366 · NIA · MAYO CLINIC ROCHESTER · PI PRASHANTHI VEMURI · 2017 to 2026
$7.0M
Disease pathways in the population determined by amyloid, tau, and neurodegeneration imaging biomarkersR37AG011378 · NIA · MAYO CLINIC ROCHESTER · PI CLIFFORD R. JACK · 2018 to 2026
$6.8M
Validating the New Criteria for Preclinical Alzheimer's diseaseR01AG041851 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R., KNOPMAN, DAVID S · 2012 to 2021
$6.3M
Development, Validation, and Application of an Imaging based CVD ScaleR01NS097495 · NINDS · MAYO CLINIC ROCHESTER · PI VEMURI, PRASHANTHI · 2016 to 2020
$2.9M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
NIA NIH HHS P30 AG062677NIA NIH HHS R01 AG011378NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG041851NIA NIH HHS R01 AG056366NIA NIH HHS R33 AG058738NIA NIH HHS R37 AG011378NIA NIH HHS U01 AG006786NINDS NIH HHS R01 NS097495
6 · The paper itself

Abstract

Staging the severity of Alzheimer's disease pathology using biomarkers is useful for therapeutic trials and clinical prognosis. Disease staging with amyloid and tau PET has face validity; however, this would be more practical with plasma biomarkers. Our objectives were, first, to examine approaches for staging amyloid and tau PET and, second, to examine prediction of amyloid and tau PET stages using plasma biomarkers. Participants (n = 1136) were enrolled in either the Mayo Clinic Study of Aging or the Alzheimer's Disease Research Center; had a concurrent amyloid PET, tau PET and blood draw; and met clinical criteria for cognitively unimpaired (n = 864), mild cognitive impairment (n = 148) or Alzheimer's clinical syndrome with dementia (n = 124). The latter two groups were combined into a cognitively impaired group (n = 272). We used multinomial regression models to estimate discrimination [concordance (C) statistics] among three amyloid PET stages (low, intermediate, high), four tau PET stages (Braak 0, 1-2, 3-4, 5-6) and a combined amyloid and tau PET stage (none/low versus intermediate/high severity) using plasma biomarkers as predictors separately within unimpaired and impaired individuals. Plasma analytes, p-tau181, Aβ1-42 and Aβ1-40 (analysed as the Aβ42/Aβ40 ratio), glial fibrillary acidic protein and neurofilament light chain were measured on the HD-X Simoa Quanterix platform. Plasma p-tau217 was also measured in a subset (n = 355) of cognitively unimpaired participants using the Lilly Meso Scale Discovery assay. Models with all Quanterix plasma analytes along with risk factors (age, sex and APOE) most often provided the best discrimination among amyloid PET stages (C = 0.78-0.82). Models with p-tau181 provided similar discrimination of tau PET stages to models with all four plasma analytes (C = 0.72-0.85 versus C = 0.73-0.86). Discriminating a PET proxy of intermediate/high from none/low Alzheimer's disease neuropathological change with all four Quanterix plasma analytes was excellent but not better than p-tau181 only (C = 0.88 versus 0.87 for unimpaired and C = 0.91 versus 0.90 for impaired). Lilly p-tau217 outperformed the Quanterix p-tau181 assay for discriminating high versus intermediate amyloid (C = 0.85 versus 0.74) but did not improve over a model with all Quanterix plasma analytes and risk factors (C = 0.85 versus 0.83). Plasma analytes along with risk factors can discriminate between amyloid and tau PET stages and between a PET surrogate for intermediate/high versus none/low neuropathological change with accuracy in the acceptable to excellent range. Combinations of plasma analytes are better than single analytes for many staging predictions with the exception that Quanterix p-tau181 alone usually performed equivalently to combinations of Quanterix analytes for tau PET discrimination.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgingAmyloid beta-PeptidesAmyloidogenic ProteinsBiomarkersHumanstau ProteinsAmyloid beta-PeptidesAmyloidogenic ProteinsBiomarkerstau ProteinsAlzheimer’s biomarkersamyloid PETplasma biomarkersstaging Alzheimer’s diseasetau PET

Identifiers

PMID36789483
PMCPMC10151195

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.