Evidence map›Paper›PMID 40991070›Full record

ArticleJournal of neurology2025

Effect of aging on biomarkers and clinical profile in Parkinson's disease.

Giulia Di Lazzaro, Federico Paolini Paoletti, Giovanni Bellomo, Tommaso Schirinzi, Piergiorgio Grillo, Guido Maria Giuffrè, Martina Petracca, Anna Picca, Nicola Biagio Mercuri, Lucilla Parnetti and 2 more

Abstract read
In one paragraph

Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

12 authors.

Giulia Di LazzaroNeurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, 00168, Rome, Italy. giulia.dilazzaro@policlinicogemelli.it.ORCID http://orcid.org/0000-0003-2413-1788
Federico Paolini PaolettiSection of Neurology, Department of Medicine and Surgery, University Hospital of Perugia, Perugia, Italy.
Giovanni BellomoSection of Neurology, Department of Medicine and Surgery, University Hospital of Perugia, Perugia, Italy.
Tommaso SchirinziNeurology Unit, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
Piergiorgio GrilloDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Guido Maria GiuffrèNeurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, 00168, Rome, Italy.
Martina PetraccaNeurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, 00168, Rome, Italy.
Anna PiccaNeurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, 00168, Rome, Italy.
Nicola Biagio MercuriNeurology Unit, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
Lucilla ParnettiSection of Neurology, Department of Medicine and Surgery, University Hospital of Perugia, Perugia, Italy.
Paolo CalabresiNeurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, 00168, Rome, Italy.
Anna Rita BentivoglioNeurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, 00168, Rome, Italy.

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca PRIN 2017ENN4FY
6 · The paper itself

Abstract

backgroundParkinson's disease (PD) has different progression rates and disease characteristics according to age of onset, the younger being less cognitively affected and experiencing more motor fluctuations. We explored different pathophysiologic mechanisms underlying PD in patients of different ages independently from disease duration, through CSF biomarkers.

methodsPatients with clinically established diagnosis of PD underwent clinical evaluation through validated clinical scales (MDS-UPDRS, NMSS, MoCA, WOQ, QUIP, UDysRS). CSF inflammatory (YKL-40, TREM-2) and neurodegeneration (A-Beta42 and 40, t-Tau, p-Tau, NfL, Neurogranin, alpha-synuclein) biomarkers were analyzed.

results95 PD patients were recruited, among whom 43 were younger than 66 years old, and 52 older. Age strongly correlated with neurofilament CSF levels, both light and heavy chain, with YKL-40 and with tau species. Younger and older patients showed different biomarker profiles. Younger patients showed significantly lower levels of inflammatory molecules (YKL-40), of degeneration biomarkers (tau species, neurofilament light and heavy chains), independently from disease duration. Clinically, younger patients had better scores at MDS-UPDRS parts I and III and were more prone to develop motor fluctuations and impulse control disorders.

conclusionsOur data support the hypothesis that PD has different underlying biological features in younger and older subjects. Older subjects may have a broader spectrum of disease mechanisms, reflected in the higher prevalence of amyloid pathology and neurodegeneration, which could underlie the worse cognitive performances and lower dyskinesia burden. They could therefore necessitate a wider array of treatment strategies along with dopaminergic supplementation. Consequently, some of these biomarkers hold promise in refining treatment approaches in PD.

Indexed as

AgingParkinson DiseaseAdultAgedAged, 80 and overalpha-SynucleinAmyloid beta-PeptidesBiomarkersChitinase-3-Like Protein 1FemaleHumansMaleMembrane GlycoproteinsMiddle AgedNeurofilament ProteinsPeptide Fragmentsalpha-SynucleinAmyloid beta-Peptidesamyloid beta-protein (1-42)BiomarkersCHI3L1 protein, humanChitinase-3-Like Protein 1Membrane Glycoproteinsneurofilament protein LNeurofilament ProteinsPeptide FragmentsReceptors, Immunologictau ProteinsTREM2 protein, humanAgeingFluid biomarkersParkinson’s disease

Identifiers

PMID40991070
PMCPMC12460368

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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.