Literature DB >> 15455468

Metabolites from cerebrospinal fluid in aneurysmal subarachnoid haemorrhage correlate with vasospasm and clinical outcome: a pattern-recognition 1H NMR study.

Victoria G Dunne1, Shermina Bhattachayya, Michael Besser, Caroline Rae, Julian L Griffin.   

Abstract

Following subarachnoid haemorrhage the most significant complication is sustained cerebral vascular contraction (vasospasm), which may result in terminal brain damage from cerebral infarction. Despite this, the biochemical cause of vasospasm remains poorly understood. In this study, the global high-concentration metabolite composition of CSF has been correlated with patient outcome after subarachnoid haemorrhage using multivariate statistics and 1H NMR spectroscopy. In total, 16 patients with aneurysmal subarachnoid haemorrhage (aSAH) were compared with 16 control patients who required a procedure where CSF was obtained but did not have aSAH. Multivariate statistics readily distinguished the aSAH group from the heterogeneous control group, even when only those controls with blood contamination in the CSF were used. Using principal components analysis and orthogonal signal correction, vasospasm was correlated to the concentrations of lactate, glucose and glutamine. These pattern recognition models of the NMR data also predicted Glasgow Coma Score (54% within +/- 1 of the actual score on a scale of 1-15 for the whole patient group), Hunt and Hess SAH severity score (88% within +/- 1 of the actual score on a scale of 1-5 for the aSAH group) and cognitive outcome scores (78% within +/- 3 of the actual score on a 100% scale for the whole patient group). Thus, the approach allowed the prediction of outcome as well as confirming the presence of aSAH. Copyright 2004 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15455468     DOI: 10.1002/nbm.918

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  14 in total

1.  Diagnosing diabetic nephropathy by 1H NMR metabonomics of serum.

Authors:  Ville-Petteri Mäkinen; Pasi Soininen; Carol Forsblom; Maija Parkkonen; Petri Ingman; Kimmo Kaski; Per-Henrik Groop; Mika Ala-Korpela
Journal:  MAGMA       Date:  2006-12-15       Impact factor: 2.310

Review 2.  Metabonomics techniques and applications to pharmaceutical research & development.

Authors:  John C Lindon; Elaine Holmes; Jeremy K Nicholson
Journal:  Pharm Res       Date:  2006-05-25       Impact factor: 4.200

3.  Metabolic changes in patients with aneurysmal subarachnoid hemorrhage apart from perfusion deficits: neuronal mitochondrial injury?

Authors:  M Wagner; A Jurcoane; C Hildebrand; E Güresir; H Vatter; F E Zanella; J Berkefeld; U Pilatus; E Hattingen
Journal:  AJNR Am J Neuroradiol       Date:  2013-02-22       Impact factor: 3.825

4.  Qualitative metabolome analysis of human cerebrospinal fluid by 13C-/12C-isotope dansylation labeling combined with liquid chromatography Fourier transform ion cyclotron resonance mass spectrometry.

Authors:  Kevin Guo; Fiona Bamforth; Liang Li
Journal:  J Am Soc Mass Spectrom       Date:  2011-01-27       Impact factor: 3.109

5.  Metabolic profiling of patients with schizophrenia.

Authors:  Rima Kaddurah-Daouk
Journal:  PLoS Med       Date:  2006-08       Impact factor: 11.069

6.  Metabolic profiling of CSF: evidence that early intervention may impact on disease progression and outcome in schizophrenia.

Authors:  Elaine Holmes; Tsz M Tsang; Jeffrey T-J Huang; F Markus Leweke; Dagmar Koethe; Christoph W Gerth; Brit M Nolden; Sonja Gross; Daniela Schreiber; Jeremy K Nicholson; Sabine Bahn
Journal:  PLoS Med       Date:  2006-08       Impact factor: 11.069

7.  A hypothetical astrocyte-microglia lactate shuttle derived from a 1H NMR metabolomics analysis of cerebrospinal fluid from a cohort of South African children with tuberculous meningitis.

Authors:  Shayne Mason; A Marceline van Furth; Lodewyk J Mienie; Udo F H Engelke; Ron A Wevers; Regan Solomons; Carolus J Reinecke
Journal:  Metabolomics       Date:  2014-10-11       Impact factor: 4.290

8.  Rapid etiological classification of meningitis by NMR spectroscopy based on metabolite profiles and host response.

Authors:  Uwe Himmelreich; Richard Malik; Till Kühn; Heide-Marie Daniel; Ray L Somorjai; Brion Dolenko; Tania C Sorrell
Journal:  PLoS One       Date:  2009-04-24       Impact factor: 3.240

9.  Piecewise multivariate modelling of sequential metabolic profiling data.

Authors:  Mattias Rantalainen; Olivier Cloarec; Timothy M D Ebbels; Torbjörn Lundstedt; Jeremy K Nicholson; Elaine Holmes; Johan Trygg
Journal:  BMC Bioinformatics       Date:  2008-02-19       Impact factor: 3.169

10.  The 1H NMR profile of healthy dog cerebrospinal fluid.

Authors:  Mihai Musteata; Alina Nicolescu; Gheorghe Solcan; Calin Deleanu
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.