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dc.contributor.authorPedersen, Camilla Christina
dc.contributor.authorUshakova, Anastasia
dc.contributor.authorSkogseth, Ragnhild Eide
dc.contributor.authorAlves, Guido Werner
dc.contributor.authorTysnes, Ole-Bjørn
dc.contributor.authorAarsland, Dag
dc.contributor.authorLange, Johannes
dc.contributor.authorMaple-Grødem, Jodi
dc.date.accessioned2024-05-10T12:28:26Z
dc.date.available2024-05-10T12:28:26Z
dc.date.created2023-11-01T07:59:00Z
dc.date.issued2023
dc.identifier.citationPedersen, C. C., Ushakova, A., Skogseth, R. E., Alves, G., Tysnes, O. B., Aarsland, D., ... & Maple-Grødem, J. (2023). Inflammatory biomarkers in newly diagnosed patients with Parkinson disease and related neurodegenerative disorders. Neurology: Neuroimmunology & Neuroinflammation, 10(4), e200132.en_US
dc.identifier.issn2332-7812
dc.identifier.urihttps://hdl.handle.net/11250/3129934
dc.description.abstractBackground and Objectives Neuroinflammation contributes to Parkinson disease (PD) pathology, and inflammatory biomarkers may aid in PD diagnosis. Proximity extension assay (PEA) technology is a promising method for multiplex analysis of inflammatory markers. Neuroinflammation also plays a role in related neurodegenerative diseases, such as dementia with Lewy bodies (DLB) and Alzheimer disease (AD). The aim of this work was to assess the value of inflammatory biomarkers in newly diagnosed patients with PD and in patients with DLB and AD. Methods Patients from the Norwegian ParkWest and Dementia Study of Western Norway longitudinal cohorts (PD, n = 120; DLB, n = 15; AD, n = 27) and 44 normal controls were included in this study. A PEA inflammation panel of 92 biomarkers was measured in the CSF. Disease-associated biomarkers were identified using elastic net (EN) analysis. We assessed the discriminatory power of disease-associated biomarkers using receiver operating characteristic (ROC) curve analysis and estimated the optimism-adjusted area under the curve (AUC) using the bootstrapping method. Results EN analysis identified 9 PEA inflammatory biomarkers (ADA, CCL23, CD5, CD8A, CDCP1, FGF-19, IL-18R1, IL-6, and MCP-2) associated with PD. Seven of the 9 biomarkers were included in a diagnostic panel, which was able to discriminate between those with PD and controls (optimism-adjusted AUC 0.82). Our 7-biomarker PD panel was also able to distinguish PD from DLB and from AD. In addition, 4 inflammatory biomarkers were associated with AD and included in a panel, which could distinguish those with AD from controls (optimism-adjusted AUC 0.87). Our 4-biomarker AD panel was also able to distinguish AD from DLB and from PD. Discussion In our exploratory study, we identified a 7-biomarker panel for PD and a 4-biomarker panel for AD. Our findings indicate potential inflammation-related biomarker candidates that could contribute toward PD-specific and AD-specific diagnostic panels, which should be further explored in other larger cohorts.en_US
dc.language.isoengen_US
dc.publisherAmerican Academy of Neurologyen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleInflammatory biomarkers in newly diagnosed patients with Parkinson’s disease and related neurodegenerative disordersen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThe authorsen_US
dc.subject.nsiVDP::Medisinske Fag: 700en_US
dc.source.journalNeurology: Neuroimmunology and neuroinflammationen_US
dc.identifier.doi10.1212/NXI.0000000000200132
dc.identifier.cristin2190792
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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