Evidence map›Paper›PMID 33427747›Full record

ArticleJournal of Alzheimer's disease : JAD2021

Why Inclusion Matters for Alzheimer's Disease Biomarker Discovery in Plasma.

Mostafa J Khan, Heather Desaire, Oscar L Lopez, M Ilyas Kamboh, Renã A S Robinson

Erratum issuedAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2021. 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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Novel set of plasma proteins classifies Alzheimer's dementia in African American individuals with high accuracy.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  2. 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
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  12. Increased Amino Acid Absorption Mediated byJournal of microbiology and biotechnology · 2023
    Article
  13. Article
  14. Moving beyond disclosure: Stages of care in preclinical Alzheimer's disease biomarker testing.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Mostafa J KhanDepartment of Chemistry, Vanderbilt University, Nashville, TN, USA.
Heather DesaireDepartment of Chemistry, University of Kansas, Lawrence, KS, USA.
Oscar L LopezDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA, USA.
M Ilyas KambohDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Renã A S RobinsonDepartment of Chemistry, Vanderbilt University, Nashville, TN, USA.

Funding

TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SWEET, ROBERT A · 1985 to 2019
$43.0M
Research Education ComponentP30AG066468 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI C. Elizabeth Shaaban · 2020 to 2026
$29.4M
Genetic Architecture of Alzheimer’s disease ProteinopathiesR01AG064877 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CRUCHAGA, CARLOS, KAMBOH, M. ILYAS · 2021 to 2024
$8.4M
Search for the Alzheimers GenesR01AG030653 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 2009 to 2019
$7.7M
Chemistry-Biology Interface Training GrantT32GM065086 · NIGMS · VANDERBILT UNIVERSITY · PI BACHMANN, BRIAN O, SULIKOWSKI, GARY ALLEN · 2002 to 2022
$7.0M
SLOS and Neuronal Oxidative StressR01HD064727 · NICHD · VANDERBILT UNIVERSITY · PI PORTER, NED ALLEN · 2010 to 2020
$3.7M
Deep Resequencing of Candidate Gene Regions in Late-onset Alzheimer's DiseaseR01AG041718 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 2012 to 2016
$3.0M
Genetic Architecture of Alzheimer's disease ProteinopathiesR56AG064877 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CRUCHAGA, CARLOS, KAMBOH, M. ILYAS · 2019 to 2019
$2.6M
Mass Spectrometry Measurements for Complex PTMsR35GM130354 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI DESAIRE, HEATHER R · 2019 to 2023
$1.9M
NIA NIH HHS P30 AG066468NIA NIH HHS P50 AG005133NIA NIH HHS R01 AG030653NIA NIH HHS R01 AG041718NIA NIH HHS R01 AG064877NIA NIH HHS R56 AG064877NICHD NIH HHS R01 HD064727NIGMS NIH HHS R35 GM130354NIGMS NIH HHS T32 GM065086
6 · The paper itself

Abstract

backgroundAfrican American/Black adults have a disproportionate incidence of Alzheimer's disease (AD) and are underrepresented in biomarker discovery efforts.

objectiveThis study aimed to identify potential diagnostic biomarkers for AD using a combination of proteomics and machine learning approaches in a cohort that included African American/Black adults.

methodsWe conducted a discovery-based plasma proteomics study on plasma samples (N = 113) obtained from clinically diagnosed AD and cognitively normal adults that were self-reported African American/Black or non-Hispanic White. Sets of differentially-expressed proteins were then classified using a support vector machine (SVM) to identify biomarker candidates.

resultsIn total, 740 proteins were identified of which, 25 differentially-expressed proteins in AD came from comparisons within a single racial and ethnic background group. Six proteins were differentially-expressed in AD regardless of racial and ethnic background. Supervised classification by SVM yielded an area under the curve (AUC) of 0.91 and accuracy of 86%for differentiating AD in samples from non-Hispanic White adults when trained with differentially-expressed proteins unique to that group. However, the same model yielded an AUC of 0.49 and accuracy of 47%for differentiating AD in samples from African American/Black adults. Other covariates such as age, APOE4 status, sex, and years of education were found to improve the model mostly in the samples from non-Hispanic White adults for classifying AD.

conclusionThese results demonstrate the importance of study designs in AD biomarker discovery, which must include diverse racial and ethnic groups such as African American/Black adults to develop effective biomarkers.

Indexed as

AgedAlzheimer DiseaseBiomarkersBlack or African AmericanCase-Control StudiesFemaleHumansMachine LearningMalePatient SelectionProteomicsSupport Vector MachineWhite PeopleBiomarkersAfrican AmericanAlzheimer’s diseasebiomarkerBlackdiscoverydisparitiesmachine learningplasmaproteomicsrace

Identifiers

PMID33427747
PMCPMC9126484

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Registered trials

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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.