CSF biomarkers distinguish idiopathic normal pressure hydrocephalus from its mimics.

J Neurol Neurosurg Psychiatry

Hydrocephalus Research Unit, Department of clinical neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Published: October 2019

AI Article Synopsis

  • The study aimed to identify specific cerebrospinal fluid (CSF) biomarkers that can differentiate idiopathic normal pressure hydrocephalus (iNPH) from other neurodegenerative disorders.
  • Researchers analyzed CSF samples from 82 iNPH patients along with other groups, discovering that lower levels of tau and amyloid proteins, paired with higher MCP-1, could reliably distinguish iNPH from other conditions.
  • A predictive algorithm using T-tau, Aβ40, and MCP-1 was developed, showing strong diagnostic potential which could enhance understanding and treatment of iNPH in clinical settings.

Article Abstract

Objective: To examine the differential diagnostic significance of cerebrospinal fluid (CSF) biomarkers reflecting Alzheimer's disease-related amyloid β (Aβ) production and aggregation, cortical neuronal damage, tau pathology, damage to long myelinated axons and astrocyte activation, which hypothetically separates patients with idiopathic normal pressure hydrocephalus (iNPH) from patients with other neurodegenerative disorders.

Methods: The study included lumbar CSF samples from 82 patients with iNPH, 75 with vascular dementia, 70 with Parkinson's disease, 34 with multiple system atrophy, 34 with progressive supranuclear palsy, 15 with corticobasal degeneration, 50 with Alzheimer's disease, 19 with frontotemporal lobar degeneration and 54 healthy individuals (HIs). We analysed soluble amyloid precursor protein alpha (sAPPα) and beta (sAPPβ), Aβ species (Aβ38, Aβ40 and Aβ42), total tau (T-tau), phosphorylated tau, neurofilament light and monocyte chemoattractant protein 1 (MCP-1).

Results: Patients with iNPH had lower concentrations of tau and APP-derived proteins in combination with elevated MCP-1 compared with HI and the non-iNPH disorders. T-tau, Aβ40 and MCP-1 together yielded an area under the curve of 0.86, differentiating iNPH from the other disorders. A prediction algorithm consisting of T-tau, Aβ40 and MCP-1 was designed as a diagnostic tool using CSF biomarkers.

Conclusions: The combination of the CSF biomarkers T-tau, Aβ40 and MCP-1 separates iNPH from cognitive and movement disorders with good diagnostic sensitivity and specificity. This may have important implications for diagnosis and clinical research on disease mechanisms for iNPH.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6817981PMC
http://dx.doi.org/10.1136/jnnp-2019-320826DOI Listing

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