Ventricular CSF proteomic profiles and predictors of surgical treatment outcome in chronic hydrocephalus

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By applying an unbiased proteomic approach, we aimed to search for cerebrospinal fluid (CSF) protein biomarkers distinguishing between obstructive and communicating hydrocephalus in order to improve appropriate surgical selection for endoscopic third ventriculostomy vs. shunt implants. Our second study purpose was to look for potential CSF biomarkers distinguishing between patients with adult chronic hydrocephalus benefitting from surgery (responders) vs. those who did not (non-responders).

Ventricular CSF samples were collected from 62 patients with communicating hydrocephalus and 28 patients with obstructive hydrocephalus. CSF was collected in relation to the patients’ surgical treatment. As a control group, CSF was collected from ten patients with unruptured aneurysm undergoing preventive surgery (vascular clipping).

Mass spectrometry-based proteomic analysis of the samples identified 1251 unique proteins. No proteins differed significantly between the communicating hydrocephalus group and the obstructive hydrocephalus group. Four proteins were found to be significantly less abundant in CSF from communicating hydrocephalus patients compared to control subjects. A PCA plot revealed similar proteomic CSF profiles of obstructive and communicating hydrocephalus and control samples. For obstructive hydrocephalus, ten proteins were found to predict responders from non-responders.

Here, we show that the proteomic profile of ventricular CSF from patients with hydrocephalus differs slightly from control subjects. Furthermore, we find ten predictors of response to surgical outcome (endoscopic third ventriculostomy or ventriculo-peritoneal shunt) in patients with obstructive hydrocephalus.
TidsskriftActa Neurochirurgica
Sider (fra-til)4059–4070
Antal sider12
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
Open access funding provided by Royal Library, Copenhagen University Library Funding was received from the Novo Nordisk Foundation (Tandem grant NNF17OC0024718 to NM and MJ). We thank Christina Christoffersen (Clinical Biochemistry, Centre of Diagnostic Investigations, Copenhagen University Hospital – Rigshospitalet) for contributing to study design, Maud Ottenheijm and Lylia Drici (Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen) for help with planning and analyzing mass spectrometry-based proteomic data, and Naomi Wakabayashi (Department of neurosurgery and The Memory Clinic, the Neuroscience Centre, Copenhagen University Hospital – Rigshospitalet) for help with collecting patient samples.

Funding Information:
Funding was received from the Novo Nordisk Foundation (Tandem grant NNF17OC0024718 to NM and MJ).

Publisher Copyright:
© 2023, The Author(s).

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