Evidence map›Paper›PMID 41641631›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2026

Accelerating Medicines Partnership® Parkinson's Disease Proteomics: A Comprehensive Resource for Advancing Parkinson's Disease Research.

Victoria J Dardov, Aparna Vasanthakumar, Ameya Kulkarni, Niveda Sundararaman, Rakhi Pandey, Preeti Bais, Jennifer E Van, Maria Quinton, Barry Landin, David Vismer and 12 more

Abstract read
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

22 authors.

Victoria J DardovTechnome, Herndon, Virginia, USA.
Aparna VasanthakumarAbbVie, North Chicago, Illinois, USA.
Ameya KulkarniAbbVie, North Chicago, Illinois, USA.
Niveda SundararamanSmidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Rakhi PandeySmidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Preeti BaisSanofi, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0009-0004-1582-8430
Jennifer E VanSmidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID https://orcid.org/0000-0001-9050-148X
Maria QuintonAbbVie, North Chicago, Illinois, USA.
Barry LandinTechnome, Herndon, Virginia, USA.
David VismerTechnome, Herndon, Virginia, USA.
Bradford CaseyThe Michael J. Fox Foundation for Parkinson's Research, New York, New York, USA.
Matt BookmanVerily Life Sciences, San Jose, California, USA.
Willy NojopranotoVerily Life Sciences, San Jose, California, USA.
Erin TeepleSanofi, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0002-6294-1522
Can KayatekinSanofi, Cambridge, Massachusetts, USA.
Rajaraman KrishnanSanofi, Cambridge, Massachusetts, USA.
Richard HargreavesNeuroscience Thematic Research Center, Bristol Myers Squibb, Cambridge, Massachusetts, USA.
Guhan NagappanGlaxo Smith Kline, Collegeville, Pennsylvania, USA.
S Pablo SardiSanofi, Cambridge, Massachusetts, USA.
Sri Ramulu PullaguraFoundation for the National Institutes of Health, North Bethesda, Maryland, USA.
Christine Swanson-FischerNational Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA.
Accelerating Medicines Partnership Parkinson's Disease (AMP PD) Proteomics Working Group

Funding

Post-translational modification and protein quantification of plasma and CSFU01NS115658 · NINDS · CEDARS-SINAI MEDICAL CENTER · PI SOBHANI, KIMIA, VAN EYK, JENNIFER E · 2019 to 2019
$1.9M
Foundation for the National Institutes of HealthNINDS NIH HHS U01 NS115658
6 · The paper itself

Abstract

backgroundRecent advances in proteomic profiling have enabled its use as a powerful approach in elucidating molecular mechanisms underlying Parkinson's disease, enabling the identification of disease-associated protein alterations and candidate biomarkers for diagnosis, progression, and therapeutic response.

objectivesThe Accelerating Medicines Partnership® Parkinson's Disease (AMP PD) program is a public-private partnership between the National Institutes of Health (NIH), multiple biopharmaceutical and life sciences companies, and non-profit organizations, managed by the Foundation for National Institutes of Health (FNIH). The program aims to advance the molecular and clinical characterization of PD through deep, longitudinal profiling of patient data and biosamples, with the goal of identifying and validating diagnostic, prognostic, and progression biomarkers for PD.

methodsLongitudinal proteomic profiling, both targeted and untargeted, was performed on cerebrospinal fluid (CSF) and plasma samples. The resulting datasets are publicly accessible via the AMP® PD Knowledge Platform.

resultsThe proteomic datasets enable differential protein analyses and can be used to explore molecular alterations associated with PD progression and heterogeneity.

conclusionsThese studies contribute to the broader AMP PD initiative by providing the research community with a harmonized proteomics dataset. As part of the larger AMP PD data, this work provides the PD community with a harmonized and accessible proteomics dataset that can be utilized for discovery, hypothesis generation, and validation of users' own research. © 2026 Technome. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Indexed as

Parkinson DiseaseProteomicsBiomarkersHumansNational Institutes of Health (U.S.)Public-Private Sector PartnershipsUnited StatesBiomarkers

Identifiers

PMID41641631
PMCPMC13067336

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.