Evidence map›Paper›PMID 30349851›Full record

ArticleAnnals of clinical and translational neurology2018

Novel CSF biomarkers to discriminate FTLD and its pathological subtypes.

Marta Del Campo, Daniela Galimberti, Naura Elias, Lynn Boonkamp, Yolande A Pijnenburg, John C van Swieten, Kelly Watts, Silvia Paciotti, Tommaso Beccari, William Hu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Review
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  7. Review
  8. Truncated TDP-43 proteoforms diagnostic of frontotemporal dementia with TDP-43 pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Review
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  18. Cerebrospinal fluid MFG-E8 as a promising biomarker of amyotrophic lateral sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020
    Article
  19. Article
  20. Review
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

11 authors at 5 institutions in 3 countries.

Marta Del CampoNeurochemistry Laboratory and Biobank Department of Clinical Chemistry Neuroscience Campus Amsterdam VU University Medical Center Amsterdam The Netherlands.ORCID 0000-0003-2808-3699
Daniela GalimbertiDepartment of Neurological Sciences, Pathophysiology and Transplantation "Dino Ferrari" Center University of Milan Fondazione Ca' Granda IRCCS Ospedale Policlinico Milan Italy.
Naura EliasNeurochemistry Laboratory and Biobank Department of Clinical Chemistry Neuroscience Campus Amsterdam VU University Medical Center Amsterdam The Netherlands.
Lynn BoonkampNeurochemistry Laboratory and Biobank Department of Clinical Chemistry Neuroscience Campus Amsterdam VU University Medical Center Amsterdam The Netherlands.
Yolande A PijnenburgAlzheimer Centre and Department of Neurology Neuroscience Campus Amsterdam VU University Medical Centre Amsterdam The Netherlands.
John C van SwietenAlzheimer Centre and Department of Neurology Neuroscience Campus Amsterdam VU University Medical Centre Amsterdam The Netherlands.
Kelly WattsDepartment of Neurology Center for Neurodegenerative Diseases Research Alzheimer's Disease Research Center Emory University School of Medicine Atlanta Georgia.
Silvia PaciottiDepartment of Pharmaceutical Sciences University of Perugia Perugia Italy.ORCID 0000-0003-1467-0155
Tommaso BeccariDepartment of Pharmaceutical Sciences University of Perugia Perugia Italy.
William HuDepartment of Neurology Center for Neurodegenerative Diseases Research Alzheimer's Disease Research Center Emory University School of Medicine Atlanta Georgia.
Charlotte E TeunissenNeurochemistry Laboratory and Biobank Department of Clinical Chemistry Neuroscience Campus Amsterdam VU University Medical Center Amsterdam The Netherlands.
Amsterdam Neuroscience · NLEmory University · USUniversity of Perugia · ITErasmus MC · NLUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveFrontotemporal lobar degeneration (FTLD) is the second most prevalent dementia in young patients and is characterized by the presence of two main protein aggregates in the brain, tau (FTLD-Tau) or TDP43 (FTLD-TDP), which likely require distinct pharmacological therapy. However, specific diagnosis of FTLD and its subtypes remains challenging due to largely overlapping clinical phenotypes. Here, we aimed to assess the clinical performance of novel cerebrospinal fluid (CSF) biomarkers for discrimination of FTLD and its pathological subtypes.

methodsYKL40, FABP4, MFG-E8, and the activities of catalase and specific lysosomal enzymes were analyzed in patients with FTLD-TDP (

resultsYKL40 and catalase activity were increased in FTLD-TDP cases compared to controls. YKL40 levels were also higher in FTLD-TDP compared to FTLD-Tau. We identified biomarker models able to discriminate FTLD from nondemented controls (MFG-E8, tTau, and A

interpretationThis study identifies CSF protein signatures distinguishing FTLD and the two main pathological subtypes with optimal accuracy (specificity/sensitivity > 80%). Validation of these models may allow appropriate selection of cases for clinical trials targeting the accumulation of Tau or TDP43, thereby increasing their efficiency and facilitating the development of successful therapies.

Identifiers

PMID30349851
PMCPMC6186934
OpenAlexW2891159306

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.