Evidence map›Paper›PMID 41611872›Full record

ArticleMolecular systems biology2026

Multi-cohort, cross-species urinary proteomics reveals signatures of LRRK2 dysfunction in Parkinson's disease.

Duc Tung Vu, William Sibran, Andreas Metousis, Laurine Vandewynckel, Basak Eraslan, Liesel Goveas, Ericka Cm Itang, Claire Deldycke, Adriana Figueroa-Garcia, Réginald Lefèbvre and 6 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2026. 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. Integrated Biofluid Proteomics Identified Dynamic Functional Biomarkers ofmedRxiv : the preprint server for health sciences · 2025
    Article
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

16 authors.

Duc Tung VuDepartment of Proteomics and Signal Transduction Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Germany.ORCID http://orcid.org/0000-0002-7573-1591
William SibranUniv. Lille, Inserm, CHU Lille, UMR-S 1172-LilNCog-Lille Neuroscience & Cognition, F-59000, Lille, France.
Andreas MetousisDepartment of Proteomics and Signal Transduction Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Germany.ORCID http://orcid.org/0000-0002-1043-6591
Laurine VandewynckelUniv. Lille, Inserm, CHU Lille, UMR-S 1172-LilNCog-Lille Neuroscience & Cognition, F-59000, Lille, France.
Basak EraslanML and Bioinformatics, Arc Institute, Palo Alto, CA, CA94304, USA.
Liesel GoveasUniv. Lille, Inserm, CHU Lille, UMR-S 1172-LilNCog-Lille Neuroscience & Cognition, F-59000, Lille, France.ORCID http://orcid.org/0000-0003-0925-5870
Ericka Cm ItangDepartment of Proteomics and Signal Transduction Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Germany.ORCID http://orcid.org/0000-0003-3387-2537
Claire DeldyckeUniv. Lille, Inserm, CHU Lille, UMR-S 1172-LilNCog-Lille Neuroscience & Cognition, F-59000, Lille, France.
Adriana Figueroa-GarciaUniv. Lille, Inserm, CHU Lille, UMR-S 1172-LilNCog-Lille Neuroscience & Cognition, F-59000, Lille, France.ORCID http://orcid.org/0000-0002-2913-9589
Réginald LefèbvreUniv. Lille, Inserm, CHU Lille, UMR-S 1172-LilNCog-Lille Neuroscience & Cognition, F-59000, Lille, France.
Johannes Bruno Müller-ReifDepartment of Proteomics and Signal Transduction Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Germany.ORCID http://orcid.org/0000-0003-3454-2396
Sebastian Virreira Winterions.bio GmbH, Am Klopferspitz 19, 82152, Planegg, Germany.ORCID https://orcid.org/0000-0002-2299-8110
Marie-Christine Chartier-HarlinUniv. Lille, Inserm, CHU Lille, UMR-S 1172-LilNCog-Lille Neuroscience & Cognition, F-59000, Lille, France. marie-christine.chartier-harlin@inserm.fr.ORCID http://orcid.org/0000-0001-6416-6526
Jean-Marc TaymansUniv. Lille, Inserm, CHU Lille, UMR-S 1172-LilNCog-Lille Neuroscience & Cognition, F-59000, Lille, France. jean-marc.taymans@inserm.fr.ORCID http://orcid.org/0000-0001-5503-5524
Matthias MannDepartment of Proteomics and Signal Transduction Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Germany. mmann@biochem.mpg.de.ORCID http://orcid.org/0000-0003-1292-4799
Ozge KarayelDepartment of Proteomics and Signal Transduction Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Germany. oezgekarayel@gmail.com.ORCID http://orcid.org/0000-0003-2541-1159

Funding

The Michael J Fox Foundation MJFF-12938.4/MJFF-004693
6 · The paper itself

Abstract

Pathogenic mutations in Leucine-rich repeat kinase 2 (LRRK2) are the predominant genetic cause of Parkinson's disease (PD) and often increase kinase activity, making LRRK2 inhibitors promising treatment options. Although LRRK2 kinase inhibitors are advancing clinically, non-invasive readouts of LRRK2-linked pathway modulation remain limited. Profiling urinary proteomes from 1215 individuals across three cohorts and integrating whole-genome sequencing from >500 participants to map genotype-proteome associations, we identified 177 urinary proteins associated with pathogenic LRRK2, enriched for lysosomal/glycosphingolipid, immune, and membrane-trafficking pathways. Machine learning narrowed the features to a cohort-agnostic 30-protein panel that classified G2019S carriers with a mean ROC AUC of 0.91 across independent tests. To evaluate translation, we performed multi-organ and urinary proteomics in rat gain- and loss-of-function models (BAC-LRRK2

Indexed as

Leucine-Rich Repeat Serine-Threonine Protein Kinase-2Parkinson DiseaseProteomeProteomicsAgedAnimalsBiomarkersCohort StudiesFemaleHumansMachine LearningMaleMiddle AgedMutationRatsBiomarkersLeucine-Rich Repeat Serine-Threonine Protein Kinase-2LRRK2 protein, humanLRRK2 protein, ratProteomeBiomarkerLRRK2Parkinson’s DiseaseProteomicsUrine

Identifiers

PMID41611872
PMCPMC13144513

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.