Evidence map›Paper›PMID 37160957›Full record

ArticleScientific data2023

Quantitative Mass Spectrometry Analysis of Cerebrospinal Fluid Protein Biomarkers in Alzheimer's Disease.

Caroline M Watson, Eric B Dammer, Lingyan Ping, Duc M Duong, Erica Modeste, E Kathleen Carter, Erik C B Johnson, Allan I Levey, James J Lah, Blaine R Roberts and 1 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
11.2field-weighted citation impact, top 1% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
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  9. Review
  10. Cerebrospinal fluid proteomics for predictive assessment of Alzheimer's Disease risk.medRxiv : the preprint server for health sciences · 2025
    Article
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  16. Review
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  20. Large-scale deep proteomic analysis in Alzheimer's disease brain regions across race and ethnicity.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    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

11 authors at 1 institution in 1 country.

Caroline M WatsonDepartment of Neurology, Emory University School of Medicine, Atlanta, USA.ORCID 0000-0001-6574-0833
Eric B DammerDepartment of Neurology, Emory University School of Medicine, Atlanta, USA.ORCID 0000-0003-2947-7606
Lingyan PingDepartment of Neurology, Emory University School of Medicine, Atlanta, USA.
Duc M DuongDepartment of Biochemistry, Emory University School of Medicine, Atlanta, USA.
Erica ModesteDepartment of Neurology, Emory University School of Medicine, Atlanta, USA.
E Kathleen CarterDepartment of Biochemistry, Emory University School of Medicine, Atlanta, USA.ORCID 0000-0002-5083-0614
Erik C B JohnsonDepartment of Neurology, Emory University School of Medicine, Atlanta, USA.ORCID 0000-0002-0604-2944
Allan I LeveyDepartment of Neurology, Emory University School of Medicine, Atlanta, USA. alevey@emory.edu.ORCID 0000-0002-3153-502X
James J LahDepartment of Neurology, Emory University School of Medicine, Atlanta, USA. jlah@emory.edu.
Blaine R RobertsDepartment of Neurology, Emory University School of Medicine, Atlanta, USA.
Nicholas T SeyfriedDepartment of Neurology, Emory University School of Medicine, Atlanta, USA. nseyfri@emory.edu.ORCID 0000-0002-4507-624X
Emory University · US

Funding

The Emory Healthy Brain Study: Discovering Predictive Biomarkers for Alzheimer's DiseaseR01AG070937 · NIA · EMORY UNIVERSITY · PI LAH, JAMES J · 2021 to 2025
$35.2M
The Goizueta Alzheimer's Disease Research CenterP30AG066511 · NIA · EMORY UNIVERSITY · PI Amy D Rodriguez · 2020 to 2026
$29.0M
Supplement to AMP-AD Brain Proteomic Network Enhancement, Validation and Translation into CSF BiomarkersU01AG061357 · NIA · EMORY UNIVERSITY · PI LEVEY, ALLAN I, SEYFRIED, NICHOLAS THOMAS · 2018 to 2022
$9.1M
NIA NIH HHS P30 AG066511NIA NIH HHS R01 AG070937NIA NIH HHS U01 AG061357
6 · The paper itself

Abstract

Alzheimer's disease (AD) is the most common form of dementia, with cerebrospinal fluid (CSF) β-amyloid (Aβ), total Tau, and phosphorylated Tau (pTau) providing the most sensitive and specific biomarkers for diagnosis. However, these diagnostic biomarkers do not reflect the complex changes in AD brain beyond amyloid (A) and Tau (T) pathologies. Here, we report a selected reaction monitoring mass spectrometry (SRM-MS) method with isotopically labeled standards for relative protein quantification in CSF. Biomarker positive (AT+) and negative (AT-) CSF pools were used as quality controls (QCs) to assess assay precision. We detected 62 peptides (51 proteins) with an average coefficient of variation (CV) of ~13% across 30 QCs and 133 controls (cognitively normal, AT-), 127 asymptomatic (cognitively normal, AT+) and 130 symptomatic AD (cognitively impaired, AT+). Proteins that could distinguish AT+ from AT- individuals included SMOC1, GDA, 14-3-3 proteins, and those involved in glycolysis. Proteins that could distinguish cognitive impairment were mainly neuronal proteins (VGF, NPTX2, NPTXR, and SCG2). This demonstrates the utility of SRM-MS to quantify CSF protein biomarkers across stages of AD.

Indexed as

Alzheimer DiseaseBiological AssayBiomarkersCerebrospinal Fluid ProteinsHumansMass SpectrometryBiomarkersCerebrospinal Fluid Proteins

Identifiers

PMID37160957
PMCPMC10170100
OpenAlexW4376132359

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.