Evidence map›Paper›PMID 32206776›Full record

ArticleBrain : a journal of neurology2020

Plasma tau, neurofilament light chain and amyloid-β levels and risk of dementia; a population-based cohort study.

Frank de Wolf, Mohsen Ghanbari, Silvan Licher, Kevin McRae-McKee, Luuk Gras, Gerrit Jan Weverling, Paulien Wermeling, Sanaz Sedaghat, M Kamran Ikram, Reem Waziry and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 3 pooled it
34.2field-weighted citation impact, top 1% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

192 citing papers in PubMed, 3 syntheses or guidelines pooled it, 332 citations in OpenAlex.

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  17. Epigenetic clocks and longitudinal plasma biomarkers of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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132 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 7 institutions in 4 countries.

Frank de WolfDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, UK.
Mohsen GhanbariDepartment of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands.
Silvan LicherDepartment of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands.
Kevin McRae-McKeeDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, UK.
Luuk GrasWorld Without Disease Accelerator, Data Science and Prevention Biomarkers, Johnson and Johnson, Leiden, The Netherlands.
Gerrit Jan WeverlingWorld Without Disease Accelerator, Data Science and Prevention Biomarkers, Johnson and Johnson, Leiden, The Netherlands.
Paulien WermelingWorld Without Disease Accelerator, Data Science and Prevention Biomarkers, Johnson and Johnson, Leiden, The Netherlands.
Sanaz SedaghatDepartment of Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
M Kamran IkramDepartment of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands.
Reem WaziryDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Wouter KoudstaalWorld Without Disease Accelerator, Data Science and Prevention Biomarkers, Johnson and Johnson, Leiden, The Netherlands.
Jaco KlapWorld Without Disease Accelerator, Data Science and Prevention Biomarkers, Johnson and Johnson, Leiden, The Netherlands.
Stefan KostenseWorld Without Disease Accelerator, Data Science and Prevention Biomarkers, Johnson and Johnson, Leiden, The Netherlands.
Albert HofmanDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Roy AndersonDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, UK.
Jaap GoudsmitDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
M Arfan IkramDepartment of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands.
Johnson & Johnson (Netherlands) · NLErasmus MC · NLHarvard University · USImperial College London · GBMashhad University of Medical Sciences · IRNorthwestern University · USUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CSF biomarkers, including total-tau, neurofilament light chain (NfL) and amyloid-β, are increasingly being used to define and stage Alzheimer's disease. These biomarkers can be measured more quickly and less invasively in plasma and may provide important information for early diagnosis of Alzheimer's disease. We used stored plasma samples and clinical data obtained from 4444 non-demented participants in the Rotterdam study at baseline (between 2002 and 2005) and during follow-up until January 2016. Plasma concentrations of total-tau, NfL, amyloid-β40 and amyloid-β42 were measured using the Simoa NF-light® and N3PA assays. Associations between biomarker plasma levels and incident all-cause and Alzheimer's disease dementia during follow-up were assessed using Cox proportional-hazard regression models adjusted for age, sex, education, cardiovascular risk factors and APOE ε4 status. Moreover, biomarker plasma levels and rates of change over time of participants who developed Alzheimer's disease dementia during follow-up were compared with age and sex-matched dementia-free control subjects. During up to 14 years follow-up, 549 participants developed dementia, including 374 cases with Alzheimer's disease dementia. A log2 higher baseline amyloid-β42 plasma level was associated with a lower risk of developing all-cause or Alzheimer's disease dementia, adjusted hazard ratio (HR) 0.61 [95% confidence interval (CI), 0.47-0.78; P < 0.0001] and 0.59 (95% CI, 0.43-0.79; P = 0.0006), respectively. Conversely, a log2 higher baseline plasma NfL level was associated with a higher risk of all-cause dementia [adjusted HR 1.59 (95% CI, 1.38-1.83); P < 0.0001] or Alzheimer's disease [adjusted HR 1.50 (95% CI, 1.26-1.78); P < 0.0001]. Combining the lowest quartile group of amyloid-β42 with the highest of NfL resulted in a stronger association with all-cause dementia [adjusted HR 9.5 (95% CI, 2.3-40.4); P < 0.002] and with Alzheimer's disease [adjusted HR 15.7 (95% CI, 2.1-117.4); P < 0.0001], compared to the highest quartile group of amyloid-β42 and lowest of NfL. Total-tau and amyloid-β40 levels were not associated with all-cause or Alzheimer's disease dementia risk. Trajectory analyses of biomarkers revealed that mean NfL plasma levels increased 3.4 times faster in participants who developed Alzheimer's disease compared to those who remained dementia-free (P < 0.0001), plasma values for cases diverged from controls 9.6 years before Alzheimer's disease diagnosis. Amyloid-β42 levels began to decrease in Alzheimer's disease cases a few years before diagnosis, although the decline did not reach significance compared to dementia-free participants. In conclusion, our study shows that low amyloid-β42 and high NfL plasma levels are each independently and in combination strongly associated with risk of all-cause and Alzheimer's disease dementia. These data indicate that plasma NfL and amyloid-β42 levels can be used to assess the risk of developing dementia in a non-demented population. Plasma NfL levels, although not specific, may also be useful in monitoring progression of Alzheimer's disease dementia.

Indexed as

AgedAlzheimer DiseaseAmyloid beta-PeptidesBiomarkersCohort StudiesDementiaEarly DiagnosisFemaleHumansMaleNeurofilament Proteinstau ProteinsAmyloid beta-PeptidesBiomarkersMAPT protein, humanneurofilament protein LNeurofilament Proteinstau ProteinsAlzheimer’s diseaseAβ42dementiaNfLplasma biomarkers

Identifiers

PMID32206776
PMCPMC7174054
OpenAlexW3012618838

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.