The chemical composition of cerebrospinal fluid (CSF) in central nervous system (CNS), varies during onset of meningitis, neurodegenerative disorders and in traumatic cases.The study attempted to observe the metabolic variation in meningitis cases, negative controls and positive controls. Further differentiation among the groups was carried out using Principal Component Analysis (PCA) followed by Partial Least Square Discriminant Analysis (PLS-DA).On the basis of metabolic profile it was found that negative control CSF samples are more appropriate for differentiation of meningitis than positive control CSF samples.The biomarkers identified were ketone bodies, amino acids, propylene glycol, citrate and creatine/creatinine.
This abstract and the presentation materials are available to members only; a login is required.