Metallomics study in CSF for putative biomarkers to predict cerebral vasospasm

Area of Science:

• Neuroscience
• Biochemistry
• Analytical Chemistry

Background:

• Cerebral vasospasm (CV) is a dangerous narrowing of brain arteries after subarachnoid hemorrhage (SAH), often leading to poor patient outcomes.
• A 3-7 day window exists between SAH and CV, offering a critical period for prediction and prevention.
• Current methods for predicting CV are inefficient, highlighting the need for improved diagnostic approaches.

Purpose of the Study:

• To investigate cerebrospinal fluid (CSF) components as potential indicators of SAH and the development of CV.
• To identify novel biomarkers in CSF for predicting and potentially preventing CV after SAH.

Main Methods:

• Analysis of CSF from healthy controls, SAH patients, and SAH patients with CV.
• Utilized two-dimensional separations coupled with elemental and molecular mass spectrometry.
• Employed size exclusion chromatography (SEC) with ICP-MS for metal species analysis.
• Applied RP-Chip/electrospray MS and database searching for metallopeptide and metalloprotein identification.

Main Results:

• Distinct molecular distribution patterns of metal species (Fe, Ni, Cu, Zn, Pb) were observed in CSF across the three groups.
• Identified potential metallopeptides and metalloproteins in tryptic digests of CSF.
• Discovered six protein families that may serve as candidate biomarkers for CV prediction.

Conclusions:

• Alterations in CSF components, particularly specific proteins and metal-binding species, correlate with SAH and CV.
• These identified protein families represent promising targets for developing effective biomarkers to predict and prevent CV.
• Further research into these CSF biomarkers could significantly improve management of SAH patients.