Evidence map›Paper›PMID 41087437›Full record

ArticleNPJ Parkinson's disease2025

Decreased SNCA expression in whole-blood RNA analysis of Parkinson's disease adjusting for neutrophils.

Kayla Y Xu, Ivo Violich, Elizabeth Hutchins, Eric Alsop, Mike A Nalls, Anni Moore, Cornelis Blauwendraat, J Raphael Gibbs, Mark R Cookson, Kendall Van Keuren-Jensen and 1 more

Abstract read
In one paragraph

Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Kayla Y XuIntegrative Translational Sciences, Beckman Research Institute City of Hope, Duarte, CA, USA.
Ivo ViolichDepartment of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Elizabeth HutchinsDataTecnica LLC, Washington, DC, USA.
Eric AlsopTranslational Genomics Research Institute, Phoenix, AZ, USA.
Mike A NallsDataTecnica LLC, Washington, DC, USA.
Anni MooreLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Cornelis BlauwendraatLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
J Raphael GibbsLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Mark R CooksonLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Kendall Van Keuren-JensenTranslational Genomics Research Institute, Phoenix, AZ, USA.
David W CraigIntegrative Translational Sciences, Beckman Research Institute City of Hope, Duarte, CA, USA. dacraig@coh.org.

Funding

NINDS Biomarker RepositoryU24NS095871 · NINDS · INDIANA UNIVERSITY INDIANAPOLIS · PI TATIANA M. FOROUD · 2015 to 2026
$18.3M
Integrative Analysis and Visualization of AMP-PD Transcriptomic DataU01NS120260 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRAIG, DAVID W · 2020 to 2020
$441k
Michael J. Fox Foundation for Parkinson's Research 12749NINDS NIH HHS U01 NS120260NINDS NIH HHS U01-NS120260NINDS NIH HHS U24 NS095871
6 · The paper itself

Abstract

Blood-based RNA transcriptomics offers a promising avenue for identifying biomarkers of Parkinson's disease (PD) progression and mechanisms of pathogenesis. Previous work uncovered an age-related increase of neutrophil-enriched gene expression in PD whole blood, which may obscure disease-relevant transcriptomic signals. To better capture PD-associated molecular differences, we analyzed PD whole-blood RNA sequencing data using a differential expression approach that accounts for neutrophil composition. We built a model to estimate neutrophil percentages in 6897 Parkinson's Progression Markers Initiative and Parkinson's Disease Biomarkers Program samples from gene expression. By incorporating predicted neutrophil percentages as a covariate, we see significant SNCA downregulation in all PD cohorts, a signal previously obscured by immune cell-related effects. Lowered SNCA expression was observed in individuals with known PD-linked gene mutations (e.g., SNCA, GBA1, LRRK2) and those without known pathogenic variants. These findings suggest that decreased SNCA expression in whole blood may be a defining transcriptomic feature of PD.

Identifiers

PMID41087437
PMCPMC12521519

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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.