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dc.contributor.authorMaple-Grødem, Jodi
dc.contributor.authorUshakova, Anastasia
dc.contributor.authorPedersen, Kenn Freddy
dc.contributor.authorTysnes, Ole-Bjørn
dc.contributor.authorAlves, Guido Werner
dc.contributor.authorLange, Johannes
dc.date.accessioned2023-10-12T12:43:09Z
dc.date.available2023-10-12T12:43:09Z
dc.date.created2023-09-27T10:07:34Z
dc.date.issued2023
dc.identifier.issn0969-9961
dc.identifier.urihttps://hdl.handle.net/11250/3096137
dc.description.abstractGiven the complexity of Parkinson's disease (PD), achieving acceptable diagnostic and prognostic accuracy will require the support of a panel of diverse biomarkers. We used Proximity extension assays to measure a panel of 92 proteins in CSF of 120 newly diagnosed PD patients and 45 control subjects without neurological disease. From 75 proteins detectable in the CSF of >90% of the subjects, regularized regression analysis identified four proteins (β-NGF, CD38, tau and NCAN) as downregulated in newly diagnosed PD patients (age at diagnosis 67.2 ± 9.4 years) compared to controls (age 65.4 ± 10.9 years). Higher tau (β −0.82 transformed MMSE points/year, 95% CI −1.37 to −0.27, P = 0.005) was also linked to faster cognitive decline over the first ten years after PD diagnosis. These findings provide insights into multiple aspects of PD pathophysiology and may serve as the foundation for identifying new biomarkers and therapeutic targets.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleIdentification of diagnostic and prognostic biomarkers of PD using a multiplex proteomics approachen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2023 the authorsen_US
dc.source.articlenumber106281en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1016/j.nbd.2023.106281
dc.identifier.cristin2179266
dc.source.journalNeurobiology of Diseaseen_US
dc.identifier.citationNeurobiology of Disease. 2023, 186, 106281.en_US
dc.source.volume186en_US


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