Evidence map›Paper›PMID 31361367›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2019

Longitudinal analyses of cerebrospinal fluid α-Synuclein in prodromal and early Parkinson's disease.

Brit Mollenhauer, Chelsea J Caspell-Garcia, Christopher S Coffey, Peggy Taylor, Andy Singleton, Leslie M Shaw, John Q Trojanowski, Mark Frasier, Tanya Simuni, Alex Iranzo and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
12.7field-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

77 citing papers in PubMed, 1 synthesis or guideline pooled it, 137 citations in OpenAlex.

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  11. Mass Spectrometry-Based Comparative Analysis ofACS chemical neuroscience · 2025
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17 more citing papers are in PubMed but not listed here.

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

21 authors at 15 institutions in 3 countries.

Brit MollenhauerDepartment of Neurology, University Medical Center Goettingen, Göttingen, Germany; and Paracelsus-Elena Klinik, Kassel, Germany.
Chelsea J Caspell-GarciaDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA.
Christopher S CoffeyDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA.
Peggy TaylorBioLegend Inc., San Diego, California, USA.
Andy SingletonMolecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Leslie M ShawDepartment of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
John Q TrojanowskiCenter for Neurodegenerative Disease Research, Institute on Aging, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Mark FrasierThe Michael J. Fox Foundation for Parkinson's Research, New York, New York, USA.
Tanya SimuniParkinson's Disease and Movement Disorders Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Alex IranzoNeurological Service, Hospital Clinic de Barcelona, Barcelona, Spain.
Wolfgang OertelDepartment of Neurology, Philipps University Marburg, Marburg, Germany.
Andrew SiderowfMorris K. Udall Center of Excellence for Parkinson's Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Daniel WeintraubDepartment of Neurology Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
John SeibylInstitute for Neurodegenerative Disorders, New Haven, Connecticut, USA.
Arthur W TogaUniversity of Southern California, Laboratory of Neuro Imaging, Los Angeles, California, USA.
Caroline M TannerDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Karl KieburtzClinical Trials Coordination Center, University of Rochester Medical Center, Rochester, New York, USA.
Lana M ChahineDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Kenneth MarekInstitute for Neurodegenerative Disorders, New Haven, Connecticut, USA.
Douglas GalaskoDepartment of Neurosciences, University of California, San Diego, San Diego, California, USA.
PPMI study
Institute for Neurodegenerative Disorders · USUniversity of Pennsylvania · USUniversity of Iowa · USBioLegend (United States) · USHospital Clínic de Barcelona · ESMichael J. Fox Foundation · USNational Institutes of Health · USNorthwestern University · USParacelsus Elena Klinik Kassel · DEPhilipps University of Marburg · DEUniversity of California, San Francisco · USUniversity of Pittsburgh · USUniversity of Rochester Medical Center · USUniversity of San Diego · USUniversity of Southern California · US

Funding

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 TROJANOWSKI, JOHN Q. · 2019 to 2023
$18.1M
Assessment of Candidate Loci in Neurological diseasesZIAAG000957 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW · 2009 to 2024
$12.2M
NIA NIH HHS U19 AG062418NINDS NIH HHS P50 NS053488
6 · The paper itself

Abstract

backgroundAggregation of α-synuclein is central to the pathophysiology of PD. Biomarkers related to α-synuclein may be informative for PD diagnosis/progression.

objectivesTo analyze α-synuclein in CSF in drug-naïve PD, healthy controls, and prodromal PD in the Parkinson's Progression Markers Initiative.

methodsOver up to 36-month follow-up, CSF total α-synuclein and its association with MDS-UPDRS motor scores, cognitive assessments, and dopamine transporter imaging were assessed.

resultsThe inception cohort included PD (n = 376; age [mean {standard deviation} years]: 61.7 [9.62]), healthy controls (n = 173; age, 60.9 [11.3]), hyposmics (n = 16; age, 68.3 [6.15]), and idiopathic rapid eye movement sleep behavior disorder (n = 32; age, 69.3 [4.83]). Baseline CSF α-synuclein was lower in manifest and prodromal PD versus healthy controls. Longitudinal α-synuclein decreased significantly in PD at 24 and 36 months, did not change in prodromal PD over 12 months, and trended toward an increase in healthy controls. The decrease in PD was not shown when CSF samples with high hemoglobin concentration were removed from the analysis. CSF α-synuclein changes did not correlate with longitudinal MDS-UPDRS motor scores or dopamine transporter scan.

conclusionsCSF α-synuclein decreases early in the disease, preceding motor PD. CSF α-synuclein does not correlate with progression and therefore does not reflect ongoing dopaminergic neurodegeneration. Decreased CSF α-synuclein may be an indirect index of changes in the balance between α-synuclein secretion, solubility, or aggregation in the brain, reflecting its overall turnover. Additional biomarkers more directly related to α-synuclein pathophysiology and disease progression and other markers to be identified by, for example, proteomics and metabolomics are needed. © 2019 International Parkinson and Movement Disorder Society.

Indexed as

Prodromal SymptomsAdultAgedAged, 80 and overAge of Onsetalpha-SynucleinBiomarkersCohort StudiesFemaleGenetic VariationHumansLongitudinal StudiesMaleMiddle AgedNegative ResultsOlfaction Disordersalpha-SynucleinBiomarkersSNCA protein, humancohort studiesoutcome researchParkinson's disease/parkinsonism

Identifiers

PMID31361367
PMCPMC7098385
OpenAlexW2965027346

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.