NDLI: Metallomics study in CSF for putative biomarkers to predict cerebral vasospasm

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A study of the distribution of aluminium in human placental tissues based on alkaline solubilization with determination by electrothermal atomic absorption spectrometry

Metallomics study in CSF for putative biomarkers to predict cerebral vasospasm

Sample preparation strategies for quantitative analysis of catalase in red blood cells by elemental mass spectrometry

Using a dual-stable isotope tracer method to study the uptake, xylem transport and distribution of Fe and its chelating agent from stereoisomers of an Fe(iii)-chelate used as fertilizer in Fe-deficient Strategy I plants

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Metallomics Vol - 2 Issue - 8

Metallomics Vol - 2 Issue - 7

Metallomics Vol - 2 Issue - 6

Metallomics Vol - 2 Issue - 5

Metallomics Vol - 2 Issue - 4

Metallomics Vol - 2 Issue - 3

Metallomics Vol - 2 Issue - 2

Metallomics Vol -1

Metallomics study in CSF for putative biomarkers to predict cerebral vasospasm

Content Provider	Royal Society of Chemistry (RSC)
Author	Caruso, Joseph Zhang, Yaofang Clark, Joseph F. Pyne-Geithman, Gail
Copyright Year	2010
Abstract	Cerebral vasospasm (CV) refers to physical narrowing of brain cerebral arteries due to over-contraction of the arterial wall, which often arises following a subarachnoid hemorrhage (SAH). CV is frequently associated with poorer outcomes in those patients. Between the ictus of SAH and its CV complication, there is a 3–7 days delay, which provides a time window to predict and possibly prevent the onset CV. Since the precise pathomechanism of CV is still unclear and approaches for predicting it are inefficient, more effective ways of predicting CV need to be developed. As a protective nourishing fluid flows through the subarachnoid space, cerebrospinal fluid (CSF) closely relates to the health states of the central nervous system (CNS). Analysis of CSF can provide invaluable information to diagnose, treat and prevent diseases of the CNS because of its relatively direct representation of events in the brain. Therefore, we assume that the components in CSF and their alterations may reflect the state of aneurismal SAH and the development of vasospasm. In this study, three types of CSF from healthy control, and patients who suffered SAH and its complication, CV, were investigated via two-dimensional separations in combination with elemental and molecular mass spectrometry detection for the identification of elemental species. Size exclusion chromatography (SEC) was initially used with selective metal detection by inductively coupled plasma mass spectrometry (ICPMS) for characterizing size distribution of metal species. Various molecular distribution patterns were exhibited at different metal detection points (Fe, Ni, Cu, Zn and Pb). Further identification of possible metallopeptides and metalloprotein in tryptic digested fractions from the three sample types were made via reverse phase (RP)-Chip and electrospray mass spectrometry (MS) in combination with the Spectrum Mill data base search engine accessing appropriate data bases. Comparisons were generated to show suggested protein similarities or differences across the three CSF sample types. Six protein families with possible protein markers were further identified, and may be considered as possible focus areas for discovering valuable biomarkers to preclude the debilitating or deadly vasospasm.
Starting Page	628
Ending Page	637
Page Count	10
File Format	HTM / HTML PDF
ISSN	17565901
Volume Number	2
Issue Number	9
Journal	Metallomics
DOI	10.1039/c0mt00005a
Language	English
Publisher	Royal Society of Chemistry
Access Restriction	Open
Subject Keyword	Subarachnoid space Subarachnoid hemorrhage Metalloprotein Electrospray ionization Central nervous system Cerebrospinal fluid Protein SEC Cu Web search engine Zn Lead Vasospasm Size-exclusion chromatography Inductively coupled plasma mass spectrometry U.S. Securities and Exchange Commission Mass spectrometry
Content Type	Text
Resource Type	Article
Subject	Chemistry Medicine Metals and Alloys Biochemistry Biomaterials Biophysics

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Metallomics study in CSF for putative biomarkers to predict cerebral vasospasm

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