Cited by 51Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCerebrospinal fluid and hydrocephalus

Neuronal pentraxin receptor-1 is a new cerebrospinal fluid biomarker of Alzheimer’s disease progression

Open access
Begcevic, Ilijana, Tsolaki, Magda, Brinc, Davor, Brown, Marshall, Martinez-Morillo, Eduardo, Lazarou, Ioulietta, Kozori, Mahi, Tagaraki, Fani +6 more·2018·F1000Research

Abstract

Background: Alzheimer’s disease (AD) is the most common type of dementia, with progressive onset of clinical symptoms. The main pathological hallmarks are brain deposits of extracellular amyloid beta plaques and intracellular neurofibrillary tangles (NFT). Cerebrospinal fluid reflects pathological changes in the brain; amyloid beta 1-42 is a marker of amyloid plaques, while total and phosphorylated tau are markers of NFT formation. Additional biomarkers associated with disease pathogenesis are needed, for better prognosis, more specific diagnosis, prediction of disease severity and progression and for improved patient classification in clinical trials. The aim of the present study was to evaluate brain-specific proteins as potential biomarkers of progression of AD. Methods: Overall, 30 candidate proteins were quantified in cerebrospinal fluid (CSF) samples from patients with mild cognitive impairment (MCI) and mild, moderate and severe AD dementia (n=101) using mass spectrometry-based selected reaction monitoring assays. ELISA was used for neuronal pentraxin receptor-1 (NPTXR) confirmation. Results: The best discrimination between MCI and more advanced AD stages (moderate and severe dementia) was observed for protein NPTXR (area under the curve, AUC=0.799). A statistically different abundance of this protein was observed between the two groups, with severe AD patients having progressively lower levels (p<0.05). ELISA confirmed lower levels in AD, in a separate cohort that included controls, MCI and AD patients. Conclusions: We conclude that NPTXR protein in CSF is a novel potential biomarker of AD progression and could have important utility in assessing treatment success in clinical trials.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.12688/f1000research.15095.1

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 35 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. [23]Janes H Longton G Pepe M: Accommodating Covariates in ROC Analysis. Stata J. 2009; 9(1): 17– 39. 20046933 PMC2758790

Cited by

Sorted by citations

Authors
Begcevic, I., Tsolaki, M., Brinc, D., Brown, M., Martinez-Morillo, E., Lazarou, I., Kozori, M., Tagaraki, F., Nenopoulou, S., Gkioka, M., Lazarou, E., Lim, B., Batruch, I., & Diamandis, E. P.
Affiliations
  • Mount Sinai Hospital (CA)
  • Aristotle University of Thessaloniki (GR)
  • Fred Hutch Cancer Center (US)
Corresponding author
Diamandis, Eleftherios P.
Venue
F1000Research
Published
2018-07-05
Volume
7
Pages
1012
ISSN
2046-1402 (ISSN-L)
OpenAlex
W2848858403
Cited by
51
References
35
Citations by year
2026: 3 · 2025: 5 · 2024: 6 · 2023: 3 · 2022: 12 · 2021: 8 · 2020: 10 · 2019: 2 · 2018: 2
FWCI
4.30
Type
journal article
Language
en
Open access
Locations
  • F1000Research (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Mount Sinai Hospital
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Cerebrospinal fluid and hydrocephalus
Keywords
Alzheimer's disease, cerebrospinal fluid biomarkers, disease progression, mild cognitive impairment, amyloid plaques, neurofibrillary tangles, tau phosphorylation, brain-specific proteins, dementia severity
MeSH terms
Aged, Aged, 80 and over, Alzheimer Disease, Female, Humans, Male, Receptors, Cell Surface, Retrospective Studies, Biomarkers, Amyloid beta-Peptides, Plaque, Amyloid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review