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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 55 out of 100. Getting a diagnosis

Topic: Brain proteins, microglia and lab models

Forty-three proteins were differentially regulated in FTD compared to controls and AD, reflecting axon development, regulation of synapse assembly, and cell-cell adhesion mediator activity pathways. Classification analysis identified a 14- and 13-CSF protein panel that discriminated FTD from controls (FTD diagnostic panel, AUC: 0.96) or AD (FTD differential diagnostic panel, AUC: 0.91). Custom multiplex panels confirmed the strong discriminative performancen between FTD and controls (AUCs > 0.96) and between FTD and AD (AUCs > 0.88) across three validation cohorts, including one with autopsy confirmation (AUCs > 0.90). Validation in genetic FTD (including C9orf72, GRN, and MAPT mutation carriers) revealed high accuracy of the FTD diagnostic panel in identifying both the presymptomatic (AUCs > 0.95) and symptomatic (AUC: 1) stages. Six proteins were differentially regulated between FTLD-TDP and FTLD-Tau. However, a reproducible classification model could not be generated (AUC: 0.80). Overall, this study introduces novel FTD-specific biomarker panels with potential use in diagnostic settings.

Key findings

Why it matters

This study identified cerebrospinal fluid protein panels that accurately discriminate frontotemporal dementia from controls and Alzheimer's disease. It introduces potential diagnostic biomarkers, but it does not report any treatment, cure, or prevention for Alzheimer's disease.

Study details

How this study scored 55/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 2 of 4; Study design 0 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 4 of 5; Sample size 2 of 4; Effect reported 3 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 2 of 7; Citations per year 2 of 5; Impact for its field and year 3 of 6; Cited by studies here 2 of 6; Still being cited 1 of 4; Senior author's track record 2 of 4; Institution's track record 2 of 3; Multi-centre collaboration 3 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 55 of 100.55 of 100 points earned45 not earned

Published in a peer-reviewed journal. Scored zero for study design and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Molecular Neurodegeneration)
Journal's citation record 2 / 4 Molecular Neurodegeneration: journal h-index 164 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 4 / 5 2025 — within 3 year(s) of the newest study here
Sample size 2 / 4 189 participants
Effect reported 3 / 3 Effect reported with a statistic (interval, p-value, ratio or similar)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 2 / 7 Cited 9 times (OpenAlex, 2026-10-10)
Citations per year 2 / 5 3.0 citations a year over 3 year(s) since 2025
Impact for its field and year 3 / 6 Cited 5.7× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 2 / 6 Cited by 3 other studies in this library
Still being cited 1 / 4 Cited 9 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Marta del Campo: h-index 24 (OpenAlex, whole career)
Institution's track record 2 / 3 University of Pennsylvania: institution h-index 1,859 (OpenAlex)
Multi-centre collaboration 3 / 3 OpenAlex lists 18 institution(s) in 5 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 40866991)
Free to read 2 / 2 Free to read
Total 55 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

APA 7th

Hok-A-Hin, Y. S., Vermunt, L., Peeters, C. F., van der Ende, E. L., de Boer, S. C., Meeter, L. H. H., et al. (2025). Large-scale CSF proteome profiling identifies biomarkers for accurate diagnosis of frontotemporal dementia. Molecular Neurodegeneration. https://doi.org/10.1186/s13024-025-00882-5

Vancouver

Hok-A-Hin YS, Vermunt L, Peeters CF, van der Ende EL, de Boer SC, Meeter LHH, et al. Large-scale CSF proteome profiling identifies biomarkers for accurate diagnosis of frontotemporal dementia. Molecular Neurodegeneration. 2025. doi:10.1186/s13024-025-00882-5. PMID: 40866991.

BibTeX

@article{hokahin2025-40866991,
  author  = {Hok-A-Hin, Yanaika Sylvana and Vermunt, Lisa and Peeters, Carel F.W. and van der Ende, Emma Louise and de Boer, Sterre C.M. and Meeter, Lieke H. H. and De Houwer, Julie F. H. and Seelaar, Harro and others},
  title   = {{Large-scale CSF proteome profiling identifies biomarkers for accurate diagnosis of frontotemporal dementia}},
  journal = {Molecular Neurodegeneration},
  year    = {2025},
  doi     = {10.1186/s13024-025-00882-5},
  pmid    = {40866991},
  url     = {https://doi.org/10.1186/s13024-025-00882-5}
}

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