Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/101468
Title: Cerebrospinal fluid biomarkers of disease activity and progression in amyotrophic lateral sclerosis
Author(s): Dreger, MarieLook up in the Integrated Authority File of the German National Library
Steinbach, RobertLook up in the Integrated Authority File of the German National Library
Otto, MarkusLook up in the Integrated Authority File of the German National Library
Turner, Martin R.Look up in the Integrated Authority File of the German National Library
Großkreutz, JulianLook up in the Integrated Authority File of the German National Library
Issue Date: 2022
Type: Article
Language: English
Abstract: Amyotrophic lateral sclerosis (ALS) is a relentlessly progressive neurodegenerative disease, and only modest disease-modifying strategies have been established to date. Numerous clinical trials have been conducted in the past years, but have been severely hampered by the wide-ranging heterogeneity of both the biological origins and clinical characteristics of the disease. Thus, reliable biomarkers of disease activity are urgently needed to stratify patients into homogenous groups with aligned disease trajectories to allow a more effective design of clinical trial. In this review, the most promising candidate biomarkers in the cerebrospinal fluid (CSF) of patients with ALS will be summarised. Correlations between biomarker levels and clinical outcome parameters are discussed, while highlighting potential pitfalls and intercorrelations of these clinical parameters. Several CSF molecules have shown potential as biomarkers of progression and prognosis, but large, international, multicentric and longitudinal studies are crucial for validation. A more standardised choice of clinical endpoints in these studies, as well as the application of individualised models of clinical progression, would allow the quantification of disease trajectories, thereby allowing a more accurate analysis of the clinical implications of candidate biomarkers. Additionally, a comparative analysis of several biomarkers and ideally the application of a multivariate analysis including comprehensive genotypic, phenotypic and clinical characteristics collectively contributing to biomarker levels in the CSF, could promote their verification. Thus, reliable prognostic markers and markers of disease activity may improve clinical trial design and patient management in the direction of precision medicine.
URI: https://opendata.uni-halle.de//handle/1981185920/103426
http://dx.doi.org/10.25673/101468
Open Access: Open access publication
License: (CC BY-NC 4.0) Creative Commons Attribution NonCommercial 4.0(CC BY-NC 4.0) Creative Commons Attribution NonCommercial 4.0
Journal Title: Journal of neurology, neurosurgery, and psychiatry
Publisher: BMJ Publishing Group
Publisher Place: London
Volume: 93
Issue: 4
Original Publication: 10.1136/jnnp-2021-327503
Page Start: 422
Page End: 435
Appears in Collections:Open Access Publikationen der MLU

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