CSF and blood biomarkers for Parkinson's disease
Open accessAbstract
In the management of Parkinson's disease, reliable diagnostic and prognostic biomarkers are urgently needed. The diagnosis of Parkinson's disease mostly relies on clinical symptoms, which hampers the detection of the earliest phases of the disease-the time at which treatment with forthcoming disease-modifying drugs could have the greatest therapeutic effect. Reliable prognostic markers could help in predicting the response to treatments. Evidence suggests potential diagnostic and prognostic value of CSF and blood biomarkers closely reflecting the pathophysiology of Parkinson's disease, such as α-synuclein species, lysosomal enzymes, markers of amyloid and tau pathology, and neurofilament light chain. A combination of multiple CSF biomarkers has emerged as an accurate diagnostic and prognostic model. With respect to early diagnosis, the measurement of CSF α-synuclein aggregates is providing encouraging preliminary results. Blood α-synuclein species and neurofilament light chain are also under investigation because they would provide a non-invasive tool, both for early and differential diagnosis of Parkinson's disease versus atypical parkinsonian disorders, and for disease monitoring. In view of adopting CSF and blood biomarkers for improving Parkinson's disease diagnostic and prognostic accuracy, further validation in large independent cohorts is needed.
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Although elevated concentrations of α-syn in blood have been proposed as an early biomarker of Parkinson's disease, identifying brain-derived α-syn is challenging due to its ubiquitous presence in different tissues, such as CSF, blood, saliva, tears, and peripheral tissues.
“Although elevated concentrations of α-syn in blood have been proposed as an early biomarker of Parkinson’s disease, identifying brain-derived α-syn is challenging due to its ubiquitous presence in different tissues, such as CSF, blood, saliva, tears, and peripheral tissues [145, 146].”
From Extracellular vesicles as nanotheranostic platforms for targeted neurological disorder interventions (2024) · cites this paper as [145]
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- Authors
- Parnetti, L., Gaetani, L., Eusebi, P., Paciotti, S., Hansson, O., El-Agnaf, O., Mollenhauer, B., Blennow, K., & Calabresi, P.
- Affiliations
- University of Perugia (IT)
- Lund University (SE)
- Universitätsmedizin Göttingen (DE)
- Sahlgrenska University Hospital (SE)
- Corresponding author
- Parnetti, Lucilla
- ORCID
- Venue
- The Lancet Neurology
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 18
- Issue
- 6
- Pages
- 573-586
- ISSN
- 1474-4422 (ISSN-L)
- OpenAlex
- W2940371405
- Cited by
- 673
- References
- 3
- Citations by year
- 2026: 66 · 2025: 104 · 2024: 125 · 2023: 104 · 2022: 92 · 2021: 76 · 2020: 89 · 2019: 17
- FWCI
- 9.18
- Type
- journal article
- Language
- en
- Open access
- Locations
- The Lancet Neurology (publishedVersion)
- PubMed (publishedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion, cc-by)
- Funders
- Ministero della Salute (GR-2013-02357757)
- Topics
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Keywords
- Parkinson's disease, cerebrospinal fluid biomarkers, blood biomarkers, alpha-synuclein, neurofilament light chain, lysosomal enzymes, early diagnosis, differential diagnosis, atypical parkinsonism, disease surveillance, prognostic factors, disease-modifying drugs
- MeSH terms
- Diagnosis, Differential, Humans, Parkinson Disease, Prognosis, Sensitivity and Specificity, Biomarkers, Early Diagnosis
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