Evidence map›Paper›PMID 35871346›Full record

ArticleJournal of Alzheimer's disease : JAD2022

Comparative Analysis of Alzheimer's Disease Cerebrospinal Fluid Biomarkers Measurement by Multiplex SOMAscan Platform and Immunoassay-Based Approach.

Jigyasha Timsina, Duber Gomez-Fonseca, Lihua Wang, Anh Do, Dan Western, Ignacio Alvarez, Miquel Aguilar, Pau Pastor, Rachel L Henson, Elizabeth Herries and 16 more

Erratum issuedOpen access · greenAbstract readComparative Study
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

53 citing papers in PubMed, 65 citations in OpenAlex.

  1. Trial
  2. MIND diet-related plasma proteins are associated with Alzheimer's disease risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Article
  4. Epigenetic aging in Alzheimer's disease: Relation to proteome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  5. Article
  6. Article
  7. Blood-based proteomic signature of amyloidosis: identification of novel regulators of amyloid load.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Plasma proteomic analysis identifies proteins and pathways related to Alzheimer's risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 6 institutions in 4 countries.

Jigyasha TimsinaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Duber Gomez-FonsecaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Lihua WangDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Anh DoNeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA.
Dan WesternDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Ignacio AlvarezMemory Disorders Unit, Department of Neurology, University Hospital Mutua Terrassa, Terrassa, Spain.
Miquel AguilarMemory Disorders Unit, Department of Neurology, University Hospital Mutua Terrassa, Terrassa, Spain.
Pau PastorMemory Disorders Unit, Department of Neurology, University Hospital Mutua Terrassa, Terrassa, Spain.
Rachel L HensonHope Center for Neurologic Diseases, Washington University in St. Louis, St. Louis, MO, USA.
Elizabeth HerriesHope Center for Neurologic Diseases, Washington University in St. Louis, St. Louis, MO, USA.
Chengjie XiongDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.
Suzanne E SchindlerHope Center for Neurologic Diseases, Washington University in St. Louis, St. Louis, MO, USA.
Anne M FaganHope Center for Neurologic Diseases, Washington University in St. Louis, St. Louis, MO, USA.
Randall J BatemanHope Center for Neurologic Diseases, Washington University in St. Louis, St. Louis, MO, USA.
Martin FarlowIndiana University School of Medicine, Indianapolis, IN, USA.
John C MorrisDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
Richard J PerrinDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
Krista MoulderDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
Jason HassenstabDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
Jonathan VögleinDepartment of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany.
Jasmeer ChhatwalMassachusetts General Hospital, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Hiroshi MoriDept. of Clinical Neuroscience, Osaka City University Medical School, Nagaoka Sutoku University, Japan.
Alzheimer’s Disease Neuroimaging Initiative
Dominantly Inherited Alzheimer Network Consortia
Yun Ju SungDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Carlos CruchagaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Washington University in St. Louis · USUniversity Hospital Mútua de Terrassa · ESBrigham and Women's Hospital · USGerman Center for Neurodegenerative Diseases · DEIndiana University Health · USOsaka City University · JP

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI DAVID M. HOLTZMAN · 2020 to 2026
$28.7M
MENDELIAN RANDOMIZATION FOR UNBIAS BIOMARKER DISCOVERY FOR AD AND OTHER COMPLEX TRAITSR01AG057777 · NIA · WASHINGTON UNIVERSITY · PI HARARI, OSCAR · 2018 to 2022
$4.1M
USING QUANTITATIVE TRAITS TO IDENTIFY NOVEL GENES FOR ALZHEIMERS DISEASE AND OTHER COMPLEX TRAITSRF1AG053303 · NIA · WASHINGTON UNIVERSITY · PI CLIMER, SHARLEE, CRUCHAGA, CARLOS · 2016 to 2020
$4.0M
GENETIC MODIFIERS OF CEREBROSPINAL FLUID TREM2 IN ALZHEIMER'S DISEASERF1AG058501 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, PICCIO, LAURA · 2018 to 2018
$3.5M
The Familial Alzheimer Sequencing (FASe) ProjectU01AG058922 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, GOATE, ALISON M · 2018 to 2022
$3.5M
Sex-specific Molecular Profiling to Understand Pathology and Identify Causal Genes and Drug Targets for Alzheimer's DiseaseRF1AG074007 · NIA · WASHINGTON UNIVERSITY · PI SUNG, YUNJU · 2021 to 2021
$2.7M
IDENTIFYING RARE VARIANTS THAT INCREASE RISK FOR ALZHEIMER'S DISEASER01AG044546 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS · 2013 to 2017
$2.7M
NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R01 AG044546NIA NIH HHS R01 AG057777NIA NIH HHS RF1 AG053303NIA NIH HHS RF1 AG058501NIA NIH HHS RF1 AG074007NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG058922NIA NIH HHS U19 AG032438
6 · The paper itself

Abstract

backgroundThe SOMAscan assay has an advantage over immunoassay-based methods because it measures a large number of proteins in a cost-effective manner. However, the performance of this technology compared to the routinely used immunoassay techniques needs to be evaluated.

objectiveWe performed comparative analyses of SOMAscan and immunoassay-based protein measurements for five cerebrospinal fluid (CSF) proteins associated with Alzheimer's disease (AD) and neurodegeneration: NfL, Neurogranin, sTREM2, VILIP-1, and SNAP-25.

methodsWe compared biomarkers measured in ADNI (N = 689), Knight-ADRC (N = 870), DIAN (N = 115), and Barcelona-1 (N = 92) cohorts. Raw protein values were transformed using z-score in order to combine measures from the different studies. sTREM2 and VILIP-1 had more than one analyte in SOMAscan; all available analytes were evaluated. Pearson's correlation coefficients between SOMAscan and immunoassays were calculated. Receiver operating characteristic curve and area under the curve were used to compare prediction accuracy of these biomarkers between the two platforms.

resultsNeurogranin, VILIP-1, and NfL showed high correlation between SOMAscan and immunoassay measures (r > 0.9). sTREM2 had a fair correlation (r > 0.6), whereas SNAP-25 showed weak correlation (r = 0.06). Measures in both platforms provided similar predicted performance for all biomarkers except SNAP-25 and one of the sTREM2 analytes. sTREM2 showed higher AUC for SOMAscan based measures.

conclusionOur data indicate that SOMAscan performs as well as immunoassay approaches for NfL, Neurogranin, VILIP-1, and sTREM2. Our study shows promise for using SOMAscan as an alternative to traditional immunoassay-based measures. Follow-up investigation will be required for SNAP-25 and additional established biomarkers.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersHumansImmunoassayNeurograninROC Curvetau ProteinsAmyloid beta-PeptidesBiomarkersNeurogranintau ProteinsAlzheimer’s diseaseassayscerebrospinal fluid biomarkerscorrelationSOMAscan

Identifiers

PMID35871346
PMCPMC9562128
OpenAlexW4285803892

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.