Evidence map›Paper›PMID 41372194›Full record

ArticleNPJ Parkinson's disease2025

JNK3 quantification in plasma: a novel biomarker for neuronal damage in Parkinson's disease.

Elena Vacchi, Arianna Giani, Nunzio Perta, Sara Turchetti, Laura Pasetto, Valentina Bonetto, Maria Giulia Bacalini, Luca Baldelli, Federica Provini, Sandra Hackethal and 13 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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

Elena Vacchi *Neurodegenerative Diseases Group, Institute for Translational Research, Università della Svizzera Italiana, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.
Arianna Giani *Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy.
Nunzio PertaDepartment of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Sara TurchettiDepartment of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy.
Laura PasettoDepartment of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Valentina BonettoDepartment of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Maria Giulia BacaliniIRCCS Istituto delle Scienze Neurologiche di Bologna, 40126, Bologna, Italy.
Luca BaldelliIRCCS Istituto delle Scienze Neurologiche di Bologna, 40126, Bologna, Italy.
Federica ProviniIRCCS Istituto delle Scienze Neurologiche di Bologna, 40126, Bologna, Italy.
Sandra HackethalSleep Medicine Unit, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Silvia RiccardiSleep Medicine Unit, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Silvia MianoFaculty of Biomedical Sciences, Università Della Svizzera Italiana, Lugano, Switzerland.
Mauro ManconiFaculty of Biomedical Sciences, Università Della Svizzera Italiana, Lugano, Switzerland.
Georg KägiDepartment of Neurology, Cantonal Hospital St, Gallen, Switzerland.
Ilaria BertainaNeurology Department, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Giovanni BiancoNeurology Department, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Salvatore GalatiFaculty of Biomedical Sciences, Università Della Svizzera Italiana, Lugano, Switzerland.
Alain Kaelin-LangFaculty of Biomedical Sciences, Università Della Svizzera Italiana, Lugano, Switzerland.
Domenico RaimondoDepartment of Molecular Medicine, Laboratory Affiliated to Istituto Pasteur Italia - Fondazione Cenci Bolognetti, Sapienza University of Rome, Viale Regina Elena, 291, Rome, Italy.
Mariaelena RepiciSchool of Biosciences, College of Health and Life Sciences, Aston University, Birmingham, B4 7ET, United Kingdom.
Mauro TettamantiDepartment of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Giorgia MelliNeurodegenerative Diseases Group, Institute for Translational Research, Università della Svizzera Italiana, Ente Ospedaliero Cantonale, Bellinzona, Switzerland. Giorgia.Melli@eoc.ch.
Tiziana BorselloDepartment of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy. Tiziana.Borsello@unimi.it.

Funding

RECOGNIZED, the European Commission's Horizon 2020 research and innovation program 847749Synapsis Foundation Research Grant 2022-PI06
6 · The paper itself

Abstract

Diagnosis of Parkinson's disease (PD) remains challenging due to the lack of reliable biomarkers. To address this need, we quantified plasma levels of brain-specific c-Jun N-terminal kinase 3 (JNK3), a protein involved in neurodegeneration. A total of 108 participants were enrolled, including 25 individuals with isolated REM sleep behavior disorder (iRBD), 26 patients with De Novo PD, 29 with Late PD, and 28 age-matched healthy controls (HC). All subjects underwent clinical assessment, blood sampling, and skin biopsy. Plasma JNK3 levels were significantly elevated in PD and iRBD compared to HC, a finding that remained robust after adjustment for age and sex in multivariate logistic regression. ROC analysis demonstrated that JNK3 levels distinguished PD from HC with 100% specificity and 65% sensitivity in Late PD. In contrast, Neurofilament Light Chain showed non-significant group differences and weak discriminative performance. Notably, while JNK3 declined with age in HC, it increased with age in Late PD (P = 0.048, B = 0.105) and negatively correlated with motor impairment. Elevated JNK3 was also associated with pathological α-Synuclein in skin biopsy. These findings highlight JNK3 as a promising blood biomarker for PD, with meaningful diagnostic and prognostic value, suggesting that its implementation could refine patient stratification and improve clinical trial efficiency.

Identifiers

PMID41372194
PMCPMC12780050

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.