Evidence map›Paper›PMID 35593028›Full record

ArticleAnnals of neurology2022

Plasma MIA, CRP, and Albumin Predict Cognitive Decline in Parkinson's Disease.

Junchao Shen, Noor Amari, Rebecca Zack, R Tyler Skrinak, Travis L Unger, Marijan Posavi, Thomas F Tropea, Sharon X Xie, Vivianna M Van Deerlin, Richard B Dewey and 3 more

Open access · greenAbstract read
In one paragraph

Article in Annals of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Frailty in Parkinson's disease: time to integrate it into treatment decision-making?Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  3. Article
  4. Review
  5. Machine learning-based non-invasive Parkinson's disease diagnostic model using clinical blood biomarkers.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
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  17. Serum albumin and white matter hyperintensities.Translational psychiatry · 2024
    Article
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  19. Article
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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

13 authors at 3 institutions in 1 country.

Junchao ShenDepartments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Noor AmariDepartments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Rebecca ZackDepartments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
R Tyler SkrinakDepartments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Travis L UngerDepartments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Marijan PosaviDepartments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Thomas F TropeaDepartments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0003-0766-1496
Sharon X XieDepartments of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Vivianna M Van DeerlinDepartments of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Richard B DeweyDepartment of Neurology, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0002-6615-5035
Daniel WeintraubDepartments of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0003-0633-7168
John Q TrojanowskiDepartments of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Alice S Chen-PlotkinDepartments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-3387-2038
University of Pennsylvania · USThe University of Texas Southwestern Medical Center · USVeterans Health Administration · US

Funding

Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVID A WOLK · 2021 to 2026
$24.8M
Project IV: "Alpha-Synuclein Strains & Diverse Synucleinopathies"P50NS053488 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI TROJANOWSKI, JOHN Q. · 2007 to 2017
$20.9M
Project IV "Tackling Heterogeneity of Cognitive Trajectory in LBD"U19AG062418 · NIA · UNIVERSITY OF PENNSYLVANIA · PI GROSSMAN, MURRAY · 2019 to 2023
$18.1M
Biomarkers of cognitive decline in Parkinson's DiseaseR01NS115139 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI CHEN-PLOTKIN, ALICE S · 2019 to 2023
$3.6M
NIA NIH HHS P30 AG072979NIA NIH HHS U19 AG062418NINDS NIH HHS P50 NS053488NINDS NIH HHS R01 NS115139
6 · The paper itself

Abstract

objectiveUsing a multi-cohort, discovery-replication-validation design, we sought new plasma biomarkers that predict which individuals with Parkinson's disease (PD) will experience cognitive decline.

methodsIn 108 discovery cohort PD individuals and 83 replication cohort PD individuals, we measured 940 plasma proteins on an aptamer-based platform. Using proteins associated with subsequent cognitive decline in both cohorts, we trained a logistic regression model to predict which patients with PD showed fast (> = 1 point drop/year on Montreal Cognitive Assessment [MoCA]) versus slow (< 1 point drop/year on MoCA) cognitive decline in the discovery cohort, testing it in the replication cohort. We developed alternate assays for the top 3 proteins and confirmed their ability to predict cognitive decline - defined by change in MoCA or development of incident mild cognitive impairment (MCI) or dementia - in a validation cohort of 118 individuals with PD. We investigated the top plasma biomarker for causal influence by Mendelian randomization (MR).

resultsA model with only 3 proteins (melanoma inhibitory activity protein [MIA], C-reactive protein [CRP], and albumin) separated fast versus slow cognitive decline subgroups with an area under the curve (AUC) of 0.80 in the validation cohort. The individuals with PD in the validation cohort in the top quartile of risk for cognitive decline based on this model were 4.4 times more likely to develop incident MCI or dementia than those in the lowest quartile. Genotypes at MIA single nucleotide polymorphism (SNP) rs2233154 associated with MIA levels and cognitive decline, providing evidence for MIA's causal influence.

conclusionsAn easily obtained plasma-based predictor identifies individuals with PD at risk for cognitive decline. MIA may participate causally in development of cognitive decline. ANN NEUROL 2022;92:255-269.

Indexed as

Cognitive DysfunctionDementiaParkinson DiseaseAlbuminsBiomarkersC-Reactive ProteinExtracellular Matrix ProteinsHumansNeoplasm ProteinsNeuropsychological TestsSerum AlbuminAlbuminsBiomarkersC-Reactive ProteinExtracellular Matrix ProteinsMIA protein, humanNeoplasm ProteinsSerum Albumin

Identifiers

PMID35593028
PMCPMC9329215
OpenAlexW4281258356

What OpenQuestion holds

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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.