Evidence map›Paper›PMID 41525793›Full record

ArticleBrain : a journal of neurology2026

Study of blood linear RNA nominates CD55 and DLD as early-stage biomarkers for Parkinson's disease.

Aleksandra Beric, Sarp Sahin, Santiago Sanchez, Zining Yang, Ravindra Kumar, Isabel Alfradique-Dunham, Jessie Sanford, Daniel Western, Bridget Phillips, John P Budde and 6 more

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Aleksandra BericDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.ORCID 0000-0002-9351-585X
Sarp SahinDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.
Santiago SanchezDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.
Zining YangDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.
Ravindra KumarDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.
Isabel Alfradique-DunhamDepartment of Neurology, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.
Jessie SanfordDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.
Daniel WesternDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.
Bridget PhillipsDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.
John P BuddeDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.
Richard J PerrinDepartment of Pathology & Immunology, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.
Paul T KotzbauerDepartment of Neurology, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.
Joel S PerlmutterDepartment of Neurology, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.
Scott A NorrisDepartment of Neurology, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.ORCID 0000-0002-3835-0976
Carlos CruchagaDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.ORCID 0000-0002-0276-2899
Laura IbanezDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, St.Louis, MO 63110, USA.ORCID 0000-0003-2381-7059

Funding

DIAN-TU Next Generation Prevention Trial - Data Request Management SupplementR01AG053267 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2017 to 2023
$34.9M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
The Role of Striatal Cholinergic Interneurons in DystoniaR01NS124789 · NINDS · WASHINGTON UNIVERSITY · PI Scott Allen Norris · 2022 to 2026
$3.0M
Investigations of Dementia in Parkinson DiseaseRF1NS075321 · NINDS · WASHINGTON UNIVERSITY · PI CAMPBELL, MEGHAN C, PERLMUTTER, JOEL SYNES · 2023 to 2023
$2.3M
Precision mapping of Parkinson's Disease pathophysiology in the Somato-Cognitive Action Network’s DBS targetsR01NS140256 · NINDS · WASHINGTON UNIVERSITY · PI Nico Dosenbach, Evan M. Gordon · 2025 to 2026
$1.2M
Plasma Cell-Free RNA as Non-invasive Biomarker for NeurodegenerationR00AG062723 · NIA · WASHINGTON UNIVERSITY · PI IBANEZ, LAURA · 2022 to 2024
$729k
Alzheimer's Association DIANTUOLE21725093Alzheimer's Association DIAN-TU-PP-22-872356American Parkinson Disease AssociationBright Focus Foundation A2021033SDepartment of Defense W81XWH2010849Michael J. Fox Foundation MJFF-021599NGI Pilot GrantNIA NIH HHS P30 AG066444NIA NIH HHS R00 AG062723NIA NIH HHS R01 AG053267NIH HHS P30AG066444NIH HHS R00AG062723NIH HHS R01AG053267NIH HHS RF1NS075321NIH HHS U19AG03243812NINDS NIH HHS R01 NS124789NINDS NIH HHS R01 NS140256NINDS NIH HHS RF1 NS075321Paula and Rodger Riney Fundthe Barnes-Jewish Hospital Foundation
6 · The paper itself

Abstract

Parkinson's disease (PD) is the second leading neurodegenerative disease, pathologically characterized by the accumulation of alpha-synuclein in the brain and the loss of dopaminergic neurons in the substantia nigra pars compacta. Despite the intensive efforts to identify diagnostic biomarkers for PD and nominating prospective candidates such as such as CSF α-synuclein seed amplification assay or α-/β-synuclein ratio, establishment of minimally invasive biomarkers remains the focus of PD research. We leveraged transcriptomic data from 4343 participants from four independent datasets to robustly identify PD-associated transcripts. Following the differential abundance analyses, we integrated our findings with several brain transcriptomic, CSF proteomic, plasma proteomic and genomic data to add biological context. We further leveraged our findings to develop predictive models that could differentiate between PD and healthy controls. We identified 296 differentially expressed transcripts, 28 of which were transcribed from known PD-associated loci. Furthermore, we found a significant overlap between our findings and transcripts dysregulated in brain, as well as proteins that differentially accumulate in CSF. Our results suggested that expression of the identified transcripts was affected by genetic background, including ancestry and PD-related mutations, and nearly half of the identified transcripts were dysregulated before symptom onset. The differentially expressed transcripts were utilized to develop three predictive models that distinguished PD from healthy controls with an area under the receiver operating characteristic curve of 0.727-0.733. The predictive models detected transcriptomic PD signatures even before symptom onset. Overall, two transcripts, DLD and CD55, showed particular promise as early stage, minimally invasive PD biomarkers. DLD was significantly related to PD in the expression quantitative trait loci (eQTL) analyses, and we identified a putative eQTL for CD55. Their protein products differentially accumulated in CSF, and both DLD and CD55 were included in all three predictive models. Having performed the largest transcriptomic study of PD to date, we demonstrate that the transcriptome can be leveraged to develop minimally invasive biomarkers that may aid in diagnosing the disease.

Indexed as

CD55 AntigensParkinson DiseaseRNAAgedBiomarkersFemaleHumansMaleMiddle AgedProteomicsBiomarkersCD55 AntigensRNAParkinson’s disease; blood transcriptomics; CD55; DLD; biomarkers

Identifiers

PMID41525793
PMCPMC13584185

What Socratic holds

Textmetadata
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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 Socratic graph.