Evidence map›Paper›PMID 39557867›Full record

Observational studyNature communications2024

Comparative neurofilament light chain trajectories in CSF and plasma in autosomal dominant Alzheimer's disease.

Anna Hofmann, Lisa M Häsler, Marius Lambert, Stephan A Kaeser, Susanne Gräber-Sultan, Ulrike Obermüller, Elke Kuder-Buletta, Christian la Fougere, Christoph Laske, Jonathan Vöglein and 26 more

Abstract readComparative StudyMulticenter StudyObservational Study
In one paragraph

Observational study in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–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.

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

27 citing papers in PubMed.

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  19. Review
  20. Delineating blood DNA methylation biomarkers for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

36 authors.

Anna HofmannGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Lisa M HäslerGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Marius LambertGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Stephan A KaeserGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.ORCID 0000-0002-4188-5111
Susanne Gräber-SultanGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Ulrike ObermüllerGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Elke Kuder-BulettaGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Christian la FougereGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.ORCID 0000-0001-7519-0417
Christoph LaskeGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Jonathan VögleinGerman Center for Neurodegenerative Diseases (DZNE), Munich, Germany.ORCID 0000-0002-5965-838X
Johannes LevinGerman Center for Neurodegenerative Diseases (DZNE), Munich, Germany.ORCID 0000-0001-5092-4306
Nick C FoxDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.ORCID 0000-0002-6660-657X
Natalie S RyanDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.
Henrik ZetterbergDepartment Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.ORCID 0000-0003-3930-4354
Jorge J Llibre-GuerraDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-2137-7750
Richard J PerrinDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-3443-7716
Laura IbanezDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
Peter R SchofieldNeuroscience Research Australia, Randwick, NSW, Australia.ORCID 0000-0003-2967-9662
William S BrooksNeuroscience Research Australia, Randwick, NSW, Australia.ORCID 0000-0001-8603-4233
Gregory S DayDepartment of Neurology, Mayo Clinic in Florida, Jacksonville, FL, USA.ORCID 0000-0001-5133-5538
Martin R FarlowIndiana Alzheimer Disease Center and Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID 0000-0001-7897-5471
Ricardo F AllegriInstituto Neurológico FLENI, Buenos Aires, Argentina.ORCID 0000-0001-7166-1234
Patricio Chrem MendezInstituto Neurológico FLENI, Buenos Aires, Argentina.
Takeshi IkeuchiBrain Research Institute, Niigata University, Niigata, Japan.ORCID 0000-0001-8828-8085
Kensaku KasugaBrain Research Institute, Niigata University, Niigata, Japan.ORCID 0000-0002-2178-0769
Jae-Hong LeeDepartment of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Jee Hoon RohDepartments of Neurology and Physiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, South Korea.ORCID 0000-0002-3243-0529
Hiroshi MoriFaculty of Medicine, Osaka Metropolitan University, Nagaoka Sutoku University, Osaka, Japan.
Francisco LoperaGrupo de Neurociencias de Antioquia (GNA), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.ORCID 0000-0003-3986-1484
Randall J BatemanDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-7729-1702
Eric McDadeDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
Brian A GordonDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-2109-2955
Jasmeer P ChhatwalDepartment of Neurology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-7792-1698
Mathias JuckerGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany. mathias.jucker@uni-tuebingen.de.ORCID 0000-0001-9045-1072
Stephanie A SchultzDepartment of Neurology, Harvard Medical School, Boston, MA, USA. saschultz@mgh.harvard.edu.ORCID 0000-0001-8460-4415
Dominantly Inherited Alzheimer Network

Funding

Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
Linking Sleep Disruption to Tau Accumulation and Network Dysregulation in Early Alzheimer's DiseaseR01AG062667 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI CHHATWAL, JASMEER P · 2019 to 2024
$4.2M
Plasma tau and neurodegenerative markers as predictors of rate of AD progressionR01AG071865 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI CHHATWAL, JASMEER P · 2021 to 2025
$4.2M
Identifying variations in gamma-secretase function that are critical determinants of clinical and biomarker progression of Autosomal Dominant Alzheimer's disease: From mechanism to clinical trialsK01AG084816 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Stephanie Schultz · 2024 to 2026
$387k
Alzheimer's Association AARF-21-846786NIA NIH HHS K01 AG084816NIA NIH HHS R01 AG062667NIA NIH HHS R01 AG071865NIA NIH HHS U19 AG032438U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) K01AG084816
6 · The paper itself

Abstract

Disease-modifying therapies for Alzheimer's disease (AD) are likely to be most beneficial when initiated in the presymptomatic phase. To track the benefit of such interventions, fluid biomarkers are of great importance, with neurofilament light chain protein (NfL) showing promise for monitoring neurodegeneration and predicting cognitive outcomes. Here, we update and complement previous findings from the Dominantly Inherited Alzheimer Network Observational Study by using matched cross-sectional and longitudinal cerebrospinal fluid (CSF) and plasma samples from 567 individuals, allowing timely comparative analyses of CSF and blood trajectories across the entire disease spectrum. CSF and plasma trajectories were similar at presymptomatic stages, discriminating mutation carriers from non-carrier controls 10-20 years before the estimated onset of clinical symptoms, depending on the statistical model used. However, after symptom onset the rate of change in CSF NfL continued to increase steadily, whereas the rate of change in plasma NfL leveled off. Both plasma and CSF NfL changes were associated with grey-matter atrophy, but not with Aβ-PET changes, supporting a temporal decoupling of Aβ deposition and neurodegeneration. These observations support NfL in both CSF and blood as an early marker of neurodegeneration but suggest that NfL measured in the CSF may be better suited for monitoring clinical trial outcomes in symptomatic AD patients.

Indexed as

Alzheimer DiseaseBiomarkersNeurofilament ProteinsAdultAgedAmyloid beta-PeptidesAtrophyCross-Sectional StudiesDisease ProgressionFemaleGray MatterHumansLongitudinal StudiesMaleMiddle AgedPositron-Emission TomographyAmyloid beta-PeptidesBiomarkersneurofilament protein LNeurofilament Proteins

Identifiers

PMID39557867
PMCPMC11574007

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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.