Evidence map›Paper›PMID 37345460›Full record

ArticleAnnals of neurology2023

NPTX2 in Cerebrospinal Fluid Predicts the Progression From Normal Cognition to Mild Cognitive Impairment.

Anja Soldan, Sungtaek Oh, Taekyung Ryu, Corinne Pettigrew, Yuxin Zhu, Abhay Moghekar, Mei-Fang Xiao, Gregory M Pontone, Marilyn Albert, Chan-Hyun Na and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Annals of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
8.2field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Cerebrospinal fluid NPTX2 and [Alzheimer's research & therapy · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Altered NPTX2 dynamics associated with impaired cognitive aging.bioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Anja SoldanDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.ORCID 0000-0002-6193-0418
Sungtaek OhDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Taekyung RyuDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Corinne PettigrewDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Yuxin ZhuDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Abhay MoghekarDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Mei-Fang XiaoDepartment of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD.
Gregory M PontoneDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Marilyn AlbertDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Chan-Hyun NaDepartment of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD.
Paul WorleyDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Johns Hopkins University · US

Funding

Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI Mei Cheng Wang · 2014 to 2026
$51.5M
'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 1985 to 2019
$37.6M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2020 to 2026
$29.3M
Biomarkers of Cognitive Decline among Normal Individuals: The BIOCARD cohortU01AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 2009 to 2013
$11.2M
NIA NIH HHS P30 AG066507NIA NIH HHS P50 AG005146NIA NIH HHS U01 AG033655NIA NIH HHS U19 AG033655
6 · The paper itself

Abstract

objectiveThis study examined whether cerebrospinal fluid (CSF) baseline levels of the synaptic protein NPTX2 predict time to onset of symptoms of mild cognitive impairment (MCI), both alone and when accounting for traditional CSF Alzheimer's disease (AD) biomarker levels. Longitudinal NPTX2 levels were also examined.

methodsCSF was collected longitudinally from 269 cognitively normal BIOCARD Study participants (mean baseline age = 57.7 years; mean follow-up = 16.3 years; n = 77 progressed to MCI/dementia). NPTX2 levels were measured from 3 correlated peptides using quantitative parallel reaction monitoring mass spectrometry. Levels of Aβ

resultsIn Cox regression models, lower baseline NPTX2 levels were associated with an earlier time to MCI symptom onset (hazard ratio [HR] = 0.76, SE = 0.09, p = 0.023). This association was significant for progression within 7 years (p = 0.036) and after 7 years from baseline (p = 0.001). Baseline NPTX2 levels improved prediction of time to MCI symptom onset after accounting for baseline AD biomarker levels (p < 0.01), and NPTX2 did not interact with the CSF AD biomarkers or APOE-ε4 genetic status. In linear mixed effects models, higher baseline p-tau

interpretationNPTX2 may be a valuable prognostic biomarker during preclinical AD that provides additive and independent prediction of MCI onset among individuals who are cognitively normal. We hypothesize that NPTX2-mediated circuit homeostasis confers resilience during the early phase of AD. ANN NEUROL 2023;94:620-631.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloid beta-PeptidesBiomarkersCognitionDisease ProgressionHumansMiddle AgedPentraxinsPeptide Fragmentstau ProteinsAmyloid beta-PeptidesBiomarkersPentraxinsPeptide Fragmentstau Proteins

Identifiers

PMID37345460
PMCPMC10543570
OpenAlexW4381597774

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.