RESUMEN
INTRODUCTION: Technological advancements enabled the analyses of limited sample volumes on 1H NMR. Manual spectral profiling of the data is, however, complex, and timely. OBJECTIVE: To evaluate the performance of BAYESIL for automated identification and quantification of 1H NMR spectra of limited volume samples. METHOD: Aliquots of a pooled African elephant serum sample were analyzed using standard and reduced volumes. Performance was evaluated on confidence scores, non-detects and laboratory CV. RESULTS: Of the 47 compounds detected, 28 had favorable performances. The approach could differentiate samples based on biological variation. CONCLUSIONS: BAYESIL is valuable for limited sample 1H NMR data analyses.
Asunto(s)
Elefantes , Animales , Espectroscopía de Protones por Resonancia Magnética , Metabolómica , Espectroscopía de Resonancia Magnética , Imagen por Resonancia MagnéticaRESUMEN
OBJECTIVE: To better characterize the cerebrospinal fluid (CSF) metabolic profile of tuberculous meningitis (TBM) cases using a South African paediatric cohort. METHODS: 1H NMR metabolomics was used to analyse the CSF of a South African paediatric cohort. Univariate and multivariate statistical analyses were performed to compare a homogeneous control group with a well-defined TBM group. RESULTS: Twenty metabolites were identified to discriminate TBM cases from controls. As expected, reduced glucose and elevated lactate were the dominating discriminators. A closer investigation of the CSF metabolic profile yielded 18 metabolites of statistical significance. Ten metabolites (acetate, alanine, choline, citrate, creatinine, isoleucine, lysine, myo-inositol, pyruvate and valine) overlapped with two other prior investigations. Eight metabolites (2-hydroxybutyrate, carnitine, creatine, creatine phosphate, glutamate, glutamine, guanidinoacetate and proline) were unique to our paediatric TBM cohort. CONCLUSIONS: Through strict exclusion criteria, quality control checks and data filtering, eight unique CSF metabolites associated with TBM were identified for the first time and linked to: uncontrolled glucose metabolism, upregulated proline and creatine metabolism, detoxification and disrupted glutamate-glutamine cycle in the TBM samples. Associated with oxidative stress and chronic neuroinflammation, our findings collectively imply destabilization, and hence increased permeability, of the blood-brain barrier in the TBM cases.