Evidence map›Paper›PMID 40613333›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Unravelling the plasma proteome: Pioneering biomarkers for differential dementia diagnosis.

Haşim Gezegen, Merve Alaylıoğlu, Erdi Şahin, Owen Swann, Elena Veleva, Gamze Güven, Umran Yaman, Derviş A Salih, Başar Bilgiç, Haşmet Hanağası and 9 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Dementia etiology classification using NULISA plasma biomarkers and machine learning.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Unravelling the plasma proteome: Pioneering biomarkers for differential dementia diagnosis.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

19 authors.

Haşim GezegenDepartment of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.ORCID 0000-0002-8954-7437
Merve AlaylıoğluBrain and Neurodegenerative Disorders Research Laboratories, Department of Neuroscience, Institute of Neurological Sciences, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Erdi ŞahinBehavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Capa, Istanbul, Turkey.
Owen SwannDepartment of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.
Elena VelevaDepartment of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.
Gamze GüvenDepartment of Genetics, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey.
Umran YamanDepartment of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.
Derviş A SalihDepartment of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.
Başar BilgiçBehavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Capa, Istanbul, Turkey.
Haşmet HanağasıBehavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Capa, Istanbul, Turkey.
Hakan GürvitBehavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Capa, Istanbul, Turkey.
Murat EmreBehavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Capa, Istanbul, Turkey.
Duygu Gezen-AkBrain and Neurodegenerative Disorders Research Laboratories, Department of Neuroscience, Institute of Neurological Sciences, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Erdinç DursunBrain and Neurodegenerative Disorders Research Laboratories, Department of Neuroscience, Institute of Neurological Sciences, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Henrik ZetterbergDepartment of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.
John HardyDepartment of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.
Amanda HeslegraveDepartment of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.
Maryam ShoaiDepartment of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.
Bedia SamanciBehavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Capa, Istanbul, Turkey.

Funding

European Union's HorizonReta Lila Weston Trust for Medical Research Henrik ZetterbergThe Scientific and Technological Research Council of Turkey-TUBITAK 22AG017-APYOK2 to E.D.
6 · The paper itself

Abstract

introductionDiagnosing Alzheimer's disease (AD) is challenging due to overlapping symptoms with other dementias and the invasiveness of current biomarkers. This study introduces the NULISA platform, a novel proteomics technology, to evaluate diagnostic accuracy of known biomarkers and uncover novel biomarkers underlying different dementias.

methodsWe analyzed plasma and cerebrospinal fluid (CSF) samples from 248 participants diagnosed with Alzheimer's disease (AD), dementia with Lewy bodies (DLB), frontotemporal dementia (FTD), and mild cognitive impairment (MCI). Plasma biomarkers were evaluated using regression models, receiver operating characteristics curve (ROC) analysis, and pathway enrichment.

resultsPlasma phosphorylated Tau217 (pTau217) demonstrated the highest diagnostic accuracy for AD, DLB, and FTD (area under the curve [AUCs]: 0.9, 0.84, and 0.79, respectively). CXCL1 (fractalkine), synaptosomal-associated protein 25 (SNAP25), triggering receptor expressed on myeloid cells 1 (TREM1), β-synuclein, and tyrosine kinase (TEK) are expressed differently in DLB and FTD than AD. Ingenuity pathway analyses revealed astrocytic, synaptic, and inflammatory pathways as shared and distinct mechanisms across these dementia types.

conclusionOur findings establish plasma pTau217 as a robust diagnostic marker. This study provides new plasma biomarkers for differential diagnosis of dementias with a noninvasive method. HIGHLIGHTS: Plasma pTau217 showed high diagnostic accuracy for AD, DLB, and FTD. CXCL1, SNAP25, TREM1, β-synuclein, and TEK are novel markers distinguishing other dementias from AD. Noninvasive plasma biomarkers enable diagnosis and differentiation of dementias.

Indexed as

Alzheimer DiseaseBiomarkersDementiaFrontotemporal DementiaLewy Body DiseaseProteomeAgedAged, 80 and overCognitive DysfunctionDiagnosis, DifferentialFemaleHumansMaleMiddle AgedProteomicstau ProteinsBiomarkersProteometau ProteinsADdementiaDLBFTDplasma biomarkerspTau

Identifiers

PMID40613333
PMCPMC12231214

What OpenQuestion holds

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Registered trials

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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.