Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572775
Title: Biofluid analysis to differentiate brain disease
Author: Dickens, Alex
Awarding Body: University of Oxford
Current Institution: University of Oxford
Date of Award: 2011
Availability of Full Text:
Full text unavailable from EThOS.
Please contact the current institution’s library for further details.
Abstract:
It has been demonstrated that by using 1H NMR spectroscopy in combination with multivariate statistical modelling (PLS) it is possible, using urine samples obtained from rats, to distinguish between different types of CNS lesions. Against this background this thesis will explore whether the combination of 1H NMR and PLS modelling on biofluids can be used q-1eientify biomarkers in .. - different neurological diseases and in clinically relevant animal models of neurologic disease. The results in this thesis demonstrate that it is possible to separate sets of animals at different stages of disease in models of multiple sclerosis and to identify the presence of early brain metastasis. The same methodology was also applied to human biofluids. In MS patient cohorts (RR- MS, PP-MS and SP-MS) it was also possible to differentiate between RR-MS and SP-MS as well between MS and healthy controls. Therapy for these two stages of MS are very different and therefore a rapid test to determine a patient's stage of MS would be hugely beneficial in the clinic. Further investigation revealed that it is possible to separate MS patients from individuals with Alzheimer's disease. Metabolomics was then combined with other eo- variants in a study of cerebrospinal fluid obtained from patients with HIV associated dementia (HAD) to discover whether disease progression could be followed in this manner. The results show that it is possible to detect neurocognitive changes in patients with HAD. Indeed, the results demonstrate. that metabolomics is a far more sensitive tool for the following progression than other non-PLS biomarker techniques and should provide a useful method for early diagnosis of CNS disease and the evaluation of therapy in prospective studies.
Supervisor: Sibson, Nicola R. ; Anthony, Daniel C. Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.572775  DOI: Not available
Keywords: Body fluids--Analysis ; Biochemical markers ; Brain--Diseases--Diagnosis ; Nuclear magnetic resonance spectroscopy
Share: