Evidence map›Paper›PMID 32474469›Full record

ArticleJournal of Alzheimer's disease : JAD2020

Proteomic Profiling of Plasma and Brain Tissue from Alzheimer's Disease Patients Reveals Candidate Network of Plasma Biomarkers.

Mei Chen, Weiming Xia

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

35 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
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  8. Distinct inflammatory profiles in young-onset versus late-onset Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  9. Review
  10. LC-MS/MS proteomics identifies plasma proteins related to cognition over 9-year follow-up.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
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  20. Establishing Quality Control Procedures for Large-Scale Plasma Proteomics Analyses.Journal of the American Society for Mass Spectrometry · 2023
    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

2 authors at 2 institutions in 1 country.

Mei ChenGeriatric Research Education Clinical Center, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, USA.
Weiming XiaGeriatric Research Education Clinical Center, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, USA.
Boston University · USEdith Nourse Rogers Memorial Veterans Hospital · US

Funding

Early and late-life metal exposures and Alzheimer's diseaseR01ES024165 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI WEISSKOPF, MARC G · 2014 to 2019
$3.3M
Big data and small molecules for Alzheimer's diseaseRF1AG063913 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI GOLDSTEIN, LEE E., XIA, WEIMING · 2019 to 2021
$2.9M
Profiling Alzheimer's BiomarkersI01BX003527 · VA · EDITH NOURSE ROGERS MEMORIAL VETERANS HOSPITAL · PI XIA, WEIMING · 2018 to 2021
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iPSC for Neurodegenerative DiseasesI21BX002215 · VA · EDITH NOURSE ROGERS MEMORIAL VETERANS HOSPITAL · PI XIA, WEIMING · 2015 to 2016
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BLRD VA I01 BX003527BLRD VA I21 BX002215NIA NIH HHS RF1 AG063913NIEHS NIH HHS R01 ES024165
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is the most prevalent form of dementia with two pathological hallmarks of tau-containing neurofibrillary tangles and amyloid-β protein (Aβ)-containing neuritic plaques. Although Aβ and tau have been explored as potential biomarkers, levels of these pathological proteins in blood fail to distinguish AD from healthy control subjects.

objectiveWe aim to discover potential plasma proteins associated with AD pathology by performing tandem mass tag (TMT)-based quantitative proteomic analysis of proteins from peripheral and central nervous system compartments.

methodsWe performed comparative proteomic analyses of plasma collected from AD patients and cognitively normal subjects. In addition, proteomic profiles from the inferior frontal cortex, superior frontal cortex, and cerebellum of postmortem brain tissue from five AD patients and five non-AD controls were compared with plasma proteomic profiles to search for common biomarkers. Liquid chromatography-mass spectrometry was used to analyze plasma and brain tissue labeled with isobaric TMT for relative protein quantification.

resultsOur results showed that the proteins in complement coagulation cascade and interleukin-6 signaling were significantly altered in both plasma and brains of AD patients.

conclusionOur results demonstrate the relevance in immune responses between the peripheral and central nervous systems. Those differentially regulated plasma proteins are explored as candidate biomarker profiles that illustrate chronic neuroinflammation in brains of AD patients.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseBiomarkersBrainFemaleGene Expression ProfilingHumansMaleProtein Interaction MapsProteomicsBiomarkersAlzheimer’s diseasebiomarkermass spectrometryplasmaquantitative proteomicstandem mass tag (TMT)

Identifiers

PMID32474469
PMCPMC7457324
OpenAlexW3028837729

What OpenQuestion holds

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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.